Model: nvidia/nemotron-4-340b-instruct
Score: 0.718 (±0.0257/â100)
Fluency: 0.816 (PFN:0.3324+Titech:0.2194+Stockmark:0.2321+RAG:0.0319)
Truthfulness: 0.908 (PFN:0.3794+Titech:0.2384+Stockmark:0.2482+RAG:0.0423)
Helpfulness: 0.429
{"engine" : " nemotron" , "max_tokens" : 300 , "mode" : " completion" , "model" : " nvidia/nemotron-4-340b-instruct" , "num_examples" : 20 , "stop" : [" Q:" , " \n\n " ], "temperature" : 1.0 , "top_p" : 0.98 }
Q01. æèšã®é·éãšçéã1æ¥ã«éãªãåæ°ã¯ïŒ
Score: 0.644 (±0.1841)
Fluency: 0.676 (RAG:0.6757)
Truthfulness: 0.854 (RAG:0.8543)
Helpfulness: 0.401
Length: 138.2 (±100.6)
0.963 (=avg(f=(R:0.8996), t=(R:0.9908), h=1.000))
æèšã®é·éãšçéã1æ¥ã«éãªãåæ°ã¯ã éåžžã® æèšã® å Žåã22åã§ããé·éã äžåšãã éã«ãçéã¯2 åã ãéãªããŸããã ãã®éã«é·éã äžåšããŠåã³ çéãšéãªãããšã« ãããåèš22åãšãªããŸãã
0.817 (=avg(f=(R:0.5360), t=(R:0.9159), h=1.000))
æèšã®é·éãšçéã¯ã1æ¥ã«22åéãªããŸããé·éãšçé ã®è§åºŠ ãåãã«ãªãã®ã¯ãé·éãçéãè¿œãè¶ã ãšãã§ãããé·éã¯ äž æéã« äžåºŠçéãè¿œãè¶ããŸããã ãã®ãã¡ æ·±å€é¶æãšæ£å ã¯éãªã㟠ããã
0.575 (=avg(f=(R:0.7495), t=(R:0.9750), h=0.000 [22å]))
æèšã®é·éãšçéã1æ¥ã«éãªãåæ°ã¯ãçéã äžåšãã éã«é·éã äžåšãã æéãçŽ1æéã®ãããçéã äžåšããåæ° ã®2å ãã€ãŸã2* 12=24åãšãªããŸãã
0.523 (=avg(f=(R:0.7471), t=(R:0.8213), h=0.000 [22å]))
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0.214 (=avg(f=(R:0.3395), t=(R:0.3029), h=0.000 [22å]))
æèšã®é·éãšçéãéãªãã®ã¯ ãæ¯æ odata.get_variable('minute'): odata.get_variable('minute') == 0 ã® ãšãã§ãã æéãé² ããããš ãèãããšãé·éãšçéãéãªãåæ°ã¯ãçéã é·éã®äœçœ®ïŒodata.get_variable('minute') % 60ïŒ ãè¿œãè¶ã åæ°ãç®å® ãšãªããŸãããã®ãããçéã é·éãè¿œãè¶ãåæ°ã¯ã odata.get_variable('hour') / 1 ã [0, 1, ..., 23] ãšãªãã®ã§ã odata.get_variable('hour') / 1 * (60 - odata.get_variable('hour') % 60) / 60 = (odata.get_variable('hour') - odata.get_variable('hour') % 60 / 60) = odata.get_variable('hour') / 60 ã®å ãšãªããŸãã ãã£ãŠãé·éãšçéãéãªãåæ°ã¯ã odata.get_variable('hour') / 60 = 2 * 12 = 2 * ããž = 2 = 2 åã§ãã
Q02. ã€ãããç®ã«ã€ããŠæããŠã
Score: 0.675 (±0.186)
Fluency: 0.773 (PFN:0.7728)
Truthfulness: 0.858 (PFN:0.8580)
Helpfulness: 0.394
Length: 111.4 (±19.3)
1.026 (=avg(f=(P:1.1556), t=(P:0.9226), h=1.000))
ã€ãããç®ã¯ãç®æ°ã®åé¡ åœ¢åŒã®äžã€ã§ãã€ã ïŒé¶ŽïŒãšäºã® é 足ã®åèšæ°ãããã£ãŠããŠãããããã®æ°ã® æ¯çãé 足ã®æ°ã® é¢ä¿ãããã€ãã® æ°ãšäºã®æ°ãæ±ããåé¡ã§ãã å³åœ¢ãä»£æ° çãªæèãçšã ãŠè§£ãããšãã§ããŸãã
0.872 (=avg(f=(P:0.7680), t=(P:0.8495), h=1.000))
ã€ãããç®ã¯ã æã ç®ãçšã ãŠéã®æ¯èŒãè¡ ãç®æ°ã®åé¡ åœ¢åŒã®äžã€ã§ããäŸãã°ã ããŠãµã® ãšã«ã¡ã®è¶³ã®æ° ã¯åãã㊠äœæ¬ã§ããïŒããšããåé¡ã§ã ãŠãµã® ãšã«ã¡ã®æ°ã® æ¯ ãšè¶³ã®æ¬æ° ã®æ¯ ãäžãããã足ã®æ¬æ°ã®åèšãæ±ããå Žåã« çšããããŸãã
0.573 (=avg(f=(P:0.7683), t=(P:0.9500), h=0.000 [åèš]))
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0.516 (=avg(f=(P:0.6902), t=(P:0.8582), h=0.000 [åèš]))
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0.366 (=avg(f=(P:0.5620), t=(P:0.5359), h=0.000 [ç®æ°, åèš]))
ã€ãããç®ãšã¯ã æãç® ã®å¿çšåé¡ã®äž çš®ã§ãããäžå®ã®æ¡ä»¶äžã§çŸ€éã®å€§å° é¢ä¿ãæ¯èŒ ããåé¡ã§ããäŸãã°ããã€ã ã poveÄanje aaa 矜ããŠãããããã« AAP enak 矜 ã®ã€ããé£ãã§ã ãŠãå
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Q03. çŽè§äºç蟺äžè§åœ¢ã®ç¹åŸŽã説æããŠãã ããã
Score: 0.761 (±0.1859)
Fluency: 0.903 (PFN:0.9035)
Truthfulness: 0.937 (PFN:0.9374)
Helpfulness: 0.442
Length: 113.0 (±23.4)
1.007 (=avg(f=(P:1.0215), t=(P:1.0000), h=1.000))
çŽè§äºç蟺äžè§åœ¢ã¯ãäºç蟺äžè§åœ¢ã®äž çš®ã§ãçŽè§ãæ ãäºã€ã®èŸºã®é·ããçããäžè§åœ¢ã§ããçŽè§äºç蟺äžè§åœ¢ã® å
è§ã®æ¯ã¯ãçŽè§ã90床ãä»ã®äºã€ã®è§ã ãããã45床ã«ãªããŸãã
0.966 (=avg(f=(P:0.8985), t=(P:1.0000), h=1.000))
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0.642 (=avg(f=(P:0.9794), t=(P:0.9462), h=0.000 [45床]))
çŽè§äºç蟺äžè§åœ¢ã¯ãçŽè§ãæ ãäºã€ã®èŸºã®é·ããçããäžè§åœ¢ã§ãããã® ãããªäžè§åœ¢ã¯ã äžå¹³æ¹ã®å®çãããæ蟺ã®é·ãã åºèŸºã®é·ãã® â2åãšãªããŸãããŸãã åºèŸºã®é·ãã® ååã«çãã ååŸ ãæ〠åãæž ããšããã® åã¯å
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0.604 (=avg(f=(P:0.9130), t=(P:0.8995), h=0.000 [45床]))
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0.394 (=avg(f=(P:0.7169), t=(P:0.4638), h=0.000 [45床]))
çŽè§äºç蟺äžè§åœ¢ãšã¯ã2ã€ã®èŸºã®é·ãã åãã§ããããã®èŸºã§æãŸãã è§ãçŽè§ã§ããäžè§åœ¢ã§ãã æåãªã®ã¯ã Paytm KYC Plaça de les Glòries Catalanes ããŸãã¯ãé»éã®é·æ¹ 圢ããšåŒã°ããé· æ¹åœ¢ã®ååã®åœ¢ã§ãããã®äžè§åœ¢ã¯ã蟺ã®é·ãã é»éæ¯ïŒçŽ 1 : 1.618ïŒ ã®æ¯çãæã€ããã èžè¡ ããã¶ã€ã³ã«ã ãã䜿ãããŸãã
Q04. ç®æ°ãšæ°åŠã®éãã¯äœã§ããïŒ
Score: 0.775 (±0.1867)
Fluency: 0.901 (PFN:0.3023+Titech:0.2858+Stockmark:0.3131)
Truthfulness: 0.944 (PFN:0.3159+Titech:0.3146+Stockmark:0.3132)
Helpfulness: 0.481
Length: 115.0 (±31.6)
1.062 (=avg(f=(P:0.4250+T:0.3988+S:0.4010), t=(P:0.3268+T:0.3283+S:0.3051), h=1.000))
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Score: 0.812 (±0.1821)
Fluency: 0.867 (PFN:0.2668+Titech:0.2914+Stockmark:0.3084)
Truthfulness: 0.940 (PFN:0.3089+Titech:0.3158+Stockmark:0.3156)
Helpfulness: 0.630
Length: 103.3 (±21.9)
1.029 (=avg(f=(P:0.3351+T:0.3794+S:0.3790), t=(P:0.3270+T:0.3333+S:0.3333), h=1.000))
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Score: 0.692 (±0.1736)
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Truthfulness: 0.920 (PFN:0.3077+Titech:0.3097+Stockmark:0.3028)
Helpfulness: 0.310
Length: 108.5 (±14.5)
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0.434 (=avg(f=(P:0.2099+T:0.1931+S:0.2081), t=(P:0.2391+T:0.2464+S:0.2065), h=0.000 [å现è]))
ãããªã ã·ã¯ã çç©åé¡äžã Excavata ã«å±ããåççç©ã®äžçš®ã§ã æ£åŒå称ã¯ãŠã¬ã¢ç¶ ãããªã ã· ïŒEuglena gracilisïŒ ã§ããå
åæ èœåããããéæ¯ãæã€ãããæ€ç©ãšåç©ã®äž¡æ¹ã®æ§è³ªã åããŠããŸããå¥åº·é£åãšããŠã泚ç®ãããŠããŸãã
Q07. é¡æ§ãšæœæ§ã®éãã¯ïŒ
Score: 0.652 (±0.1458)
Fluency: 0.811 (PFN:0.8109)
Truthfulness: 0.937 (PFN:0.9371)
Helpfulness: 0.209
Length: 116.0 (±26.8)
1.058 (=avg(f=(P:1.1789), t=(P:0.9957), h=1.000))
é¡æ§ãšæœæ§ã¯ãéºäŒåã® åªæ§å£æ§ã®éããæããŸããé¡æ§ã¯åªæ§éºäŒå ã§ãè¡šçŸå ãšããŠçŸãããã æ§è³ªã§ããäžæ¹ãæœæ§ã¯å£æ§éºäŒå ã§ãè¡šçŸå ãšããŠçŸããªã å Žåãããã䞡芪ããåã å£æ§éºäŒåã åãç¶ãããšã§ åããŠçŸããŸãã
0.708 (=avg(f=(P:0.7369), t=(P:0.8876), h=0.500 [åªæ§*0.5]))
é¡æ§ãšæœæ§ã¯ãéºäŒå åãšè¡šçŸå ã«é¢ããèšèã§ããé¡æ§ãšã¯ãéºäŒå åãè¡šçŸåã«çŸããããšã§ ãäŸãã°ãããããïœã ã®éºäŒå åãæã€è±ãèµ€ãè² ã瀺ãããšããããŸããæœæ§ ãšã¯ãéºäŒå åãè¡šçŸåã«çŸããªãããšã§ ãäŸãã°ããïœïœã ã®éºäŒå åãæã€è±ãçœãè² ã瀺ãããšããããŸãã
0.607 (=avg(f=(P:0.8869), t=(P:0.9341), h=0.000 [è¡šçŸå, å£æ§*0.5]))
é¡æ§ãšæœæ§ã¯ã ã¡ã³ãã«ã®éºäŒ ã®æ³åã«ãããçšèªã§ããé¡æ§ãš ã¯ã䞡芪ããåãç¶ãã éºäŒåã®åœ¢è³ªãçŸããããšã§ ãäŸãã°ã䞡芪ããé»ãæ¯ ã®éºäŒåã åãç¶ãã å Žåã é»ãæ¯ ã®åœ¢è³ªãçŸããŸããäžæ¹ãæœæ§ ãšã¯ã䞡芪ããåãç¶ãã éºäŒåã ä» ã®éºäŒå㮠圱é¿ã§çŸããªãããšã§ ãäŸãã°ã䞡芪ããèµ€ãæ¯ ã®éºäŒåã åãç¶ãã å Žåã é»ãæ¯ ã®éºäŒåã åªæ§ã§ããã° èµ€ãæ¯ ã®åœ¢è³ªã¯çŸããŸããã
0.551 (=avg(f=(P:0.6733), t=(P:0.9784), h=0.000 [è¡šçŸå, åªæ§*0.5]))
é¡æ§ãš ã¯ãçç©ã®åœ¢è³ª ãæ§è³ªãéºäŒå åã«ãã£ãŠçŽæ¥ 決å®ãããåäœã«çŸãã圢ã®ããšã§ããäžæ¹ãæœæ§ ãšã¯ãéºäŒå åãé ããŠããŠããã®åœ¢è³ª ãæ§è³ªãçŸããªã ç¶æ
ã®ããšã§ãã
0.438 (=avg(f=(P:0.5438), t=(P:0.7692), h=0.000 [è¡šçŸå, éºäŒå, åªæ§*0.5]))
é¡æ§ãš ã¯ãçç©ã®åœ¢è³ª ãæ§è³ªãçŸããŠãã ç¶æ
ãæããæœæ§ ãšã¯ããã®åœ¢è³ª ãæ§è³ªãé ããŠãã ç¶æ
ãæããŸãã äŸãã°ãã¡ã³ãã«ã®æ³åã§æåãªãšã³ããŠè±ã®è±ã®è²ã§ãããšãèµ€ãè± ã¯é¡æ§ãçœãè± ã¯æœæ§ãšãªããŸãã
Q08. ã¹ãºã ã·ã®é³Žã声ã«ã€ããŠæããŠã
Score: 0.556 (±0.1454)
Fluency: 0.716 (PFN:0.7155)
Truthfulness: 0.852 (PFN:0.8522)
Helpfulness: 0.100
Length: 100.2 (±11.7)
0.986 (=avg(f=(P:0.9687), t=(P:0.9892), h=1.000))
ã¹ãºã ã·ã¯ãç§ã®é¢šç©è©©ãšããŠç¥ãã ãããªã®ãªã¹ã®äžçš®ã§ã鳎ã声ãç¹åŸŽ çã§ããã¹ãºã ã·ã®é³Žã声ã¯ããªã¹ãç¿
ããããåãããããš ã«ãã£ãŠçºããããŸãã å é³ãå¥ã§ãããã«ããªãŒã³ãªãŒã³ããšé³Ž ãã®ãã¹ãºã ã·ã® ç¹åŸŽã§ãã
0.588 (=avg(f=(P:0.7973), t=(P:0.9652), h=0.000 [ãªã¹]))
ã¹ãºã ã·ã®é³Žã声ã¯ãããªãŒã³ãªãŒã³ããš é«ãéãéã£ãé³è²ãç¹åŸŽã§ãã鳎 ãææ ã¯å€ã®çµããããç§ã«ãã㊠ã§ãäž»ã«å€ã«é³ŽããŸãã鳎ã æ¹ã¯ãäº æã®ç¿
ãããåãããŠé³ãåº ããã®ã§ã 鳎ãæ¹ã é³è²ã¯çš®é¡ã«ãã£ãŠç°ãªããŸãã
0.520 (=avg(f=(P:0.6405), t=(P:0.9190), h=0.000 [ãªãŒã³, ãªã¹]))
ã¹ãºã ã·ã®é³Žã声ã¯ã éãæ±æã®ããã«é³Žããã®ã§ã 鳎ãããã® åšå® ã§ããã ç¿
ïŒã¯ãïŒã ãæ¯åãããŠé³ŽããŠããŸãã鳎ã声ã¯ã ãã«ãã«ãã«ã ããšãã ç¬ç¹ã®é³è²ã§ãç§ã®å€ é·ã«èãã ãŠã ãããšã å€ãã§ãã
0.473 (=avg(f=(P:0.6843), t=(P:0.7333), h=0.000 [ãªãŒã³, ç§]))
ã¹ãºã ã·ã®é³Žã声ã¯ããªã¹ã åèã®æ¯ ã®ãããªéšå ãããåãããããšã§ çºããããŸãããã® é³ã¯ããã«ã³ãããã ãããã·ã¥ãã·ã¥ãã·ã¥ã ããšã ã£ãæã㧠衚çŸãããŸãã鳎 ãç®ç ã¯ãã¡ã¹ ã«æ±æããããšã§ãã
0.356 (=avg(f=(P:0.4880), t=(P:0.5800), h=0.000 [ãªãŒã³, ç§, ãªã¹]))
ã¹ãºã ã·ã¯ã éåžž ã¯é³Žããªãæè«ã§ã ããäžéšã®å°å ã§ã¯ãã¹ãºã ã· ãæ³£ãã ããšãã ç¿æ
£ ããããå°ããªç«¹ã®åšã«å
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Q09. ã¿ããã®ãåããšæ¶ãåºãã®ã¯ãªãïŒ
Score: 0.541 (±0.0969)
Fluency: 0.691 (PFN:0.6907)
Truthfulness: 0.905 (PFN:0.9051)
Helpfulness: 0.027
Length: 102.0 (±13.3)
0.846 (=avg(f=(P:0.8945), t=(P:0.9031), h=0.740 [13åè¶
é*0.7]))
ã¿ããã®ãåããšæ¶ãåºãã®ã¯ãã¿ããã®ã«å«ãŸãã ã¢ãªã€ããŒãŒãšããé
µçŽ ããã¿ããã®ã® çµç¹ãå·ã€ããããããšã§ 现èå
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žïŒ ã«å€åããããã§ãã
0.619 (=avg(f=(P:0.9365), t=(P:0.9205), h=0.000 [é
µçŽ , ãããã³ãã¢ãŒã«]))
ã¿ããã®ãåããšæ¶ãåºãã®ã¯ãã¿ããã®ã«å«ãŸãã ãç¡«åããã ã«ããšããæåãåå ã§ãããã®æå ã¯ãåããšæ®çºã ãŠç©ºæ°äžã« æµ®é ããç® ã«è§Šããããšã§åºæ¿ãäžã ãæ¶ãèªçºããŸãã
0.534 (=avg(f=(P:0.6572), t=(P:0.9457), h=0.000 [é
µçŽ ]))
ã¿ããã®ãåããšæ¶ãåºãã®ã¯ã åã£ãæã«çºçãã ããããã«ã¹ã«ãã§ã³é
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ž ã«å€åãã ãããç® ã«å
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0.459 (=avg(f=(P:0.4788), t=(P:0.8989), h=0.000 [ãããã³ãã¢ãŒã«]))
ã¿ããã®ãåããšãã¿ããã®ã®çŽ°è å£ãå£ã ãéé¢ããã¢ãªã«ç¡«é
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0.362 (=avg(f=(P:0.3640), t=(P:0.7234), h=0.000 [é
µçŽ , ãããã³ãã¢ãŒã«]))
ã¿ããã®ã« ã¯ã·ãã°ãªã³ãšã·ãã® ããŒãŒãšããæåãå«ãŸã ãŠãããåããš ãããã®æåãåå¿ã ãŠãµã¯ãã©ã€ããšç¡«é
ž ãçããããŸãã ç¡«é
ž ã«ããç®ã®äžã®ããã±ã 質ãå解ããã æ¶è
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Score: 0.323 (±0.1234)
Fluency: 0.326 (RAG:0.3259)
Truthfulness: 0.609 (RAG:0.6086)
Helpfulness: 0.034
Length: 102.7 (±16.1)
0.732 (=avg(f=(R:0.7193), t=(R:0.9778), h=0.500 [é
žåãããžãŠã *0.5]))
æ¥è§Šæ³ãšã¯ãç¡«é
ž ãªã©ã®ç¡æ© é
žãå·¥æ¥çã«è£œé ããæ¹æ³ã®äžã€ã§ããç¡«é»ãççŒãã㊠åŸãããäºé
žåç¡«é»ã ã觊åªåå¿ã«ããé
žçŽ ãšåå¿ãããäžé
žåç¡«é»ãçæããŸãã ãã®åŸãæ°Žãšåå¿ãããŠç¡«é
žã補é ããŸãã
0.338 (=avg(f=(R:0.3990), t=(R:0.6151), h=0.000 [ç¡«é
ž, 觊åª, äºé
žåç¡«é», é
žåãããžãŠã *0.5]))
æ¥è§Šæ³ã¯ã é
žåã«ã«ã· ãŠã ãšæ°Ž ãåå¿ãã㊠ç³ç° ã補é ããæ¹æ³ã§ãã ãŸããåæã®ç³ç°å²©ã现ããç²ç ããçŒæç㧠é«æž©ã§çŒ ããŠé
žå ã«ã«ã·ãŠã ã«ããŸãã 次ã«ãé
žåã«ã«ã· ãŠã ãšæ°Ž ãåå¿ãã㊠ç³ç° ãçæããããã ä¹Ÿç¥ ãã㊠補åå ããŸãã
0.300 (=avg(f=(R:0.2755), t=(R:0.6256), h=0.000 [ç¡«é
ž, 觊åª, äºé
žåç¡«é», é
žåãããžãŠã *0.5]))
æ¥è§Šæ³ãšã¯ã ååŠåå¿ã®äžã€ã§ ãæ°äœã液äœã« æ¥è§Šããã ç©è³ªã 溶ãã 蟌ã¿ãå¥ã®ç©è³ª ã«å€æããææ³ã§ãã äŸãã°ã 空æ°äžã®äºé
žå ççŽ ãã¢ã³ã¢ãã¢æ°Žã« æ¥è§Šããã çé
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0.259 (=avg(f=(R:0.2745), t=(R:0.5023), h=0.000 [ç¡«é
ž, 觊åª, äºé
žåç¡«é», é
žåãããžãŠã *0.5]))
æ¥è§Šæ³ãšã¯ã å¡© é
žè£œé æ ã«çšããããå·¥æ¥ç補æ³ã®äžã€ã§ãã å¡©çŽ ã¬ã¹ïŒCl2ïŒãšæ°ŽçŽ ã¬ã¹ïŒH2ïŒã æ¥è§ŠãããŠåå¿ããã å¡©é
žïŒHClïŒ ã補é ããŸãã ãŸãããã¬ãŒãã«ã®æè²çè«ã§ã幌å
æè² ã«ãããŠç©ã®æ§è³ªãçŽæ¥äœéš ãããæ¹æ³ãšã㊠ã ç¥ãããŠããŸãã
0.138 (=avg(f=(R:0.1785), t=(R:0.2348), h=0.000 [ç¡«é
ž, 觊åª, äºé
žåç¡«é», é
žåãããžãŠã *0.5]))
æ¥è§Šæ³ã¯ã å®ç³ã®ã«ãã ææ³ã®äžã€ã§ ãå®ç³ã®æ倧éã®çŸãããåŒãåºã ãããå
ãåå°ããé¢ã®è§åºŠãèª¿æŽ ããŸãã ç¹ã«ãã€ã€ã¢ã³ãã®ã«ãã ã«çšããã ãããŒãã«é¢ãã¯ã©ãŠã³é¢ããããªãªã³é¢ãã¬ãŒãã«é¢ã®è§åºŠã倧ãããæé©å ããŸãã
Q11. æž©æ³åµãšåçåµã®éãã¯äœããçãŸããã®ïŒ
Score: 0.739 (±0.1748)
Fluency: 0.936 (PFN:0.3103+Titech:0.3223+Stockmark:0.3033)
Truthfulness: 0.908 (PFN:0.3023+Titech:0.3071+Stockmark:0.2984)
Helpfulness: 0.372
Length: 120.7 (±22.1)
1.037 (=avg(f=(P:0.3647+T:0.3970+S:0.3644), t=(P:0.3281+T:0.3296+S:0.3267), h=1.000))
æž©æ³åµãšåçåµã®éãã¯ãå ç± æ¹æ³ãæéã«ãããŸããæž©æ³åµã¯ã äœã ã®æž©åºŠïŒ çŽ60ïœ70åºŠïŒ ã§ãã£ããå ç±ããããšã§ãåçåµãããçœèº«ã ãšãããšãã é£æã«ãªããŸããäžæ¹ãåçåµã¯ã 沞隰ããã湯ã§å ç±ããé»èº«ãåçç¶æ
ã«ãª ãããã«èª¿ç¯ ããŸãã
0.929 (=avg(f=(P:0.3076+T:0.3036+S:0.3067), t=(P:0.2873+T:0.3063+S:0.2746), h=1.000))
æž©æ³åµãšåçåµã®éãã¯ã äž»ã«æž©åºŠãšæéã®éã ããçãŸããŸããæž©æ³åµã¯ã äœæž©ïŒ çŽ60床ïŒã§é· ãæéïŒçŽ 15åïŒæž©ã ãåµã§ããäžæ¹ãåçåµã¯ã é«æž©ïŒçŽ100床ïŒã§ çãæéïŒçŽ4åïŒ ã§ãã§ãŸãã ãã®ãããæž©æ³åµã¯ ãšãã£ãšããåçç¶ã®ç¶æ
ã«ãªããåçåµã¯ åºãã§åµãããé»èº«ã è»ããããªããŸãã
0.675 (=avg(f=(P:0.3529+T:0.3582+S:0.3403), t=(P:0.3231+T:0.3297+S:0.3223), h=0.000 [70床]))
æž©æ³åµãšåçåµã®éãã¯ã äž»ã«æž©åºŠãšæéããçãŸããŸããæž©æ³åµã¯ã æ®»ä»ã ã®ãŸãŸæž©æ³ã«å
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0.600 (=avg(f=(P:0.3019+T:0.2845+S:0.3087), t=(P:0.3011+T:0.3018+S:0.3011), h=0.000 [å ç±, æé]))
æž©æ³åµãšåçåµã®éãã¯ãåµã® ç«ã®éã æ¹ã«ãããŸããæž©æ³åµã¯ã æ®»ä»ã ã®åµãçŽ60ïœ 65床ã®ã湯ã«çŽ 10åïœ 20åéã€ããŠäœãã®ã«å¯Ÿããåçåµã¯ã æ®»ãå² ã£ãåµã湯ç
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0.443 (=avg(f=(P:0.1560+T:0.1489+S:0.1491), t=(P:0.2941+T:0.3059+S:0.2758), h=0.000 [å ç±, 70床]))
æž©æ³åµã¯ã 湯ã«æµžããŠäžå® 枩床ã§æéããããŠäœãã®ã§ãæ®»ä»ã ã®ãŸãŸçœèº«ãé»èº«ãåäžã«ã¯ãªãŒã ç¶ã«åºãŸããåçåµ ãšã¯éã ãé»èº«ã ãã£ãš ããšããŠãã ã®ãç¹åŸŽã§ãã
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Score: 0.699 (±0.1586)
Fluency: 0.892 (PFN:0.2917+Titech:0.2969+Stockmark:0.3034)
Truthfulness: 0.955 (PFN:0.3167+Titech:0.3178+Stockmark:0.3206)
Helpfulness: 0.250
Length: 102.3 (±11.4)
1.009 (=avg(f=(P:0.3449+T:0.3510+S:0.3388), t=(P:0.3333+T:0.3301+S:0.3285), h=1.000))
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0.689 (=avg(f=(P:0.3359+T:0.3538+S:0.3790), t=(P:0.3333+T:0.3326+S:0.3333), h=0.000 [è©ŠéšçŽ]))
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0.632 (=avg(f=(P:0.2886+T:0.2964+S:0.3341), t=(P:0.3193+T:0.3333+S:0.3235), h=0.000 [è©ŠéšçŽ]))
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0.593 (=avg(f=(P:0.2825+T:0.2870+S:0.2629), t=(P:0.3156+T:0.3156+S:0.3142), h=0.000 [è©ŠéšçŽ]))
ãªããã¹çŽã¯ãé
žæ§ãšã¢ã«ã«ãªæ§ãå€å¥ããããã®è©Š è¬çŽã§ããéè²ã®ãªããã¹çŽã é
žã«æµžããš èµ€ããªããèµ€è²ã®ãªããã¹çŽãã¢ã«ã«ãªã«æµžããš éããªããŸãã äžæ§å ã§ã¯ãéè²ã®ãªããã¹çŽã¯ èµ€ã㯠ãªããŸããããé»ç· è²ã«ãªãå ŽåããããŸãã
0.521 (=avg(f=(P:0.2140+T:0.2261+S:0.2273), t=(P:0.3027+T:0.2958+S:0.2981), h=0.000 [èµ€è², éè², è©ŠéšçŽ]))
ãªããã¹çŽã¯é
žæ§ãã¢ã«ã«ãªæ§ã調ã¹ã è©Šè¬çŽã®äžã€ ã§ããèµ€ã®ãªããã¹çŽã¯é
žæ§ã«åå¿ã ãéã«ãªããŸãã éã«ãéã®ãªããã¹çŽã¯ã¢ã«ã«ãªæ§ã«åå¿ã ãèµ€ã«ãªããŸãã äžæ§ã¯åå¿ãããå
ã®è²ãä¿æ ããŸãã
Q13. ãããã©ãŒå¹æã«ã€ããŠæããŠã
Score: 0.771 (±0.1721)
Fluency: 0.881 (PFN:0.3005+Titech:0.2885+Stockmark:0.2918)
Truthfulness: 0.948 (PFN:0.3159+Titech:0.3127+Stockmark:0.3195)
Helpfulness: 0.485
Length: 103.4 (±10.6)
1.038 (=avg(f=(P:0.3881+T:0.3402+S:0.4004), t=(P:0.3304+T:0.3261+S:0.3275), h=1.000))
ãããã©ãŒå¹æãšã¯ãæ³¢ã®çºçæºãšèŠ³æž¬è
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0.956 (=avg(f=(P:0.3181+T:0.2998+S:0.2923), t=(P:0.3243+T:0.3049+S:0.3288), h=1.000))
ãããã©ãŒå¹æãšã¯ãæ³¢ã®æºãšèŠ³æž¬è
ã®çžå¯Ÿç㪠åãã«ãããæ³¢ã®åšæ³¢æ°ãå€åããçŸè±¡ã§ããäŸãã°ããµã€ã¬ã³ãè¿ã¥ã ã«ã€ããŠé³ãé«ããªããé ããã ã«ã€ããŠé³ãäœããªãã®ã¯ ããããã©ãŒå¹æ ã®åœ±é¿ ã§ãã
0.757 (=avg(f=(P:0.2698+T:0.2486+S:0.2810), t=(P:0.3333+T:0.3047+S:0.3326), h=0.500 [çžå¯Ÿ*0.5]))
ãããã©ãŒå¹æãšã¯ã波㮠æºã®ç§»åã«ãã£ãŠ æ³¢é·ãåšæ³¢æ°ãå€ããçŸè±¡ã§ããäŸãã°ã æ¶é²è»ããµã€ã¬ã³ ã鳎ãããªããè¿ã¥ããŠãããš ãé³çšãé«ããªããé ããã£ãŠã ããšäœããªãã®ã¯ ããããã©ãŒå¹æã«ãããã®ã§ãã
0.599 (=avg(f=(P:0.2703+T:0.2374+S:0.3145), t=(P:0.3303+T:0.3116+S:0.3333), h=0.000 [åšæ³¢æ°, å]))
ãããã©ãŒå¹æãšã¯ãé³æºãšèŠ³æž¬è
ã®çžå¯Ÿçãªé床ã«ãã£ãŠãé³ã® é«ããå€ããçŸè±¡ã§ããäŸãã°ã æ¶é²è»ã®ãµã€ã¬ã³ãè¿ã¥ã ã«ã€ããŠé³ãé«ããªãã éãéãããšäœããªãã®ã¯ ããããã©ãŒå¹æã«ãããã®ã§ãã
0.474 (=avg(f=(P:0.2343+T:0.2264+S:0.2259), t=(P:0.2253+T:0.2667+S:0.2442), h=0.000 [ç]))
ãããã©ãŒå¹æãšã¯ãæ³¢ åã®çºçæºãš åä¿¡æ© ãçžå¯Ÿç ã«æ¥è¿ ãŸãã¯é¢å ãããš ãåä¿¡ãããæ³¢ã®åšæ³¢æ°ãå€åããçŸè±¡ã§ããé³æ³¢ã é»æ³¢ãªã©ãæ§ã
ãªæ³¢ã« é©çšãããè» ã®é床枬å®ãæ°è±¡ã¬ãŒã㌠ãªã©ã® åéã§æŽ» çšãããŠããŸãã
Q14. è¶
äŒå°ãšã¯äœã§ããïŒ
Score: 0.772 (±0.1782)
Fluency: 0.770 (PFN:0.2322+Titech:0.3034+Stockmark:0.2348)
Truthfulness: 0.909 (PFN:0.3002+Titech:0.3095+Stockmark:0.2992)
Helpfulness: 0.638
Length: 101.5 (±13.7)
0.998 (=avg(f=(P:0.3304+T:0.3766+S:0.3148), t=(P:0.3219+T:0.3262+S:0.3247), h=1.000))
è¶
äŒå°ãšã¯ãç¹å®ã®æž©åºŠä»¥äžã§é»æ°æµæããŒãã«ãªãçŸè±¡ã§ãããã®ç¶æ
ã§ã¯é»æµã æ°žä¹
ã«æµãç¶ã ãç£å Žãå®å
šã« ãã³ ãããŸããè¶
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äŒå°ã¢ãŒã¿ãŒãMRI è£
眮ãªã©ãå€ãã®å¿çšã ç 究ãããŠããŸãã
0.912 (=avg(f=(P:0.2713+T:0.3212+S:0.2994), t=(P:0.2519+T:0.2977+S:0.2930), h=1.000))
è¶
äŒå°ãšã¯ãç¹å®ã®ç©è³ªã極äœæž©ã«å·åŽãããšãé»æ°æµæããŒãã«ãªããé»æµãæµã ããŸãŸ ã«ãªãçŸè±¡ã§ãã ãŸããé»åã察ãšãªã£ãŠã¯ãŒããŒãã¢ã圢æ ããããããã çš®ã®ç£å Žãé®æ ããããšãã§ããŸãã
0.864 (=avg(f=(P:0.2233+T:0.2701+S:0.2398), t=(P:0.2787+T:0.2981+S:0.2816), h=1.000))
è¶
äŒå°ã¯ãç©è³ªã èšç枩床以äžã§é»æ°æµæããŒãã«ãªãã å®å
šãª å°äœã«ãªãçŸè±¡ã§ãã ãŸããç£å Žã é®æãããã€ã¹ããŒå¹æã瀺 ããŸããè¶
äŒå°ãå©çš ããå¿çš ã«ã¯ãMRI ããªãã¢ã¢ãŒã¿ãŒã«ãŒãªã© ããããŸãã
0.579 (=avg(f=(P:0.2460+T:0.2956+S:0.2356), t=(P:0.3241+T:0.3259+S:0.3111), h=0.000 [ç£]))
è¶
äŒå°ãšã¯ãç¹å®ã® äœæž©æ¡ä»¶ ã§é»æ°æµæããŒãã«ãªããé»æµã ç¡éã«æµãç¶ããçŸè±¡ã§ãããã®çŸè±¡ãå©çšããããšã§ã ãã¹ãå°ãªãå¹çç ãªé»åäŒéãå¯èœã«ãªããŸãã
0.426 (=avg(f=(P:0.1480+T:0.1971+S:0.1739), t=(P:0.2425+T:0.2601+S:0.2564), h=0.000 [ãŒã]))
è¶
äŒå°ãšã¯ãç¹å®ã® äœæž©ãé«å§åäž ã«ãããŠãç©è³ªãé»æ°æµæ ãå®å
šã« æ¶å€±ãã匷å㪠é»ç£å Žã é®æã ãç¶æ
ãæããŸãããã®çŸè±¡ã¯ãé»æ°æµæ ã®ãªãç¶æ
ïŒå®å
š äŒå°ç¶æ
ïŒãšç£æã®æé€ ïŒãã€ã¹ããŒå¹æïŒ ã«ãã£ãŠç¹åŸŽä»ããã ãæ§ã
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ãããŠããŸãã
Q15. è¹ã¯ã©ãããŠè¹è²ãªã®ïŒ
Score: 0.727 (±0.1824)
Fluency: 0.872 (PFN:0.3014+Titech:0.2813+Stockmark:0.2898)
Truthfulness: 0.950 (PFN:0.3182+Titech:0.3148+Stockmark:0.3170)
Helpfulness: 0.357
Length: 99.9 (±13.0)
1.063 (=avg(f=(P:0.3959+T:0.3859+S:0.4082), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
è¹ã¯ã倪éœå
ã倧æ°äžã®æ°Žæ»Žã§å±æã»åå°ããããšã§çããŸãã倪éœå
ã¯ããŸããŸãªæ³¢é·ã®å
ãããªãã氎滎ãééããéã«å±æ ã®åºŠåããç°ãªããããèµ€ãæ©ãé»ãç·ãéãèã玫ã«åãããŠèŠããŸãããããè¹è² ãšãªã£ãŠããŸãã
0.937 (=avg(f=(P:0.3096+T:0.2513+S:0.2970), t=(P:0.3204+T:0.3104+S:0.3214), h=1.000))
è¹ã¯ã倪éœå
ãéšç²ã«åœãã£ãŠå±æããæ³¢é·ã® éã å
ãåé¢ããããšã§è¹è²ã«èŠããŸããèµ€ãæ©ãé»ãç·ãéãèã玫㮠é ã«ãæ³¢é·ã® é·ãå
ããçãå
ãžãš è²ãåãããŸãã
0.631 (=avg(f=(P:0.3249+T:0.2926+S:0.2842), t=(P:0.3303+T:0.3296+S:0.3326), h=0.000 [倪éœ, éš]))
è¹ãè¹è²ã«èŠããçç±ã¯ãå
ã®æ³¢é·ã®éã ã«ãããã®ã§ãã çœãå
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0.586 (=avg(f=(P:0.3118+T:0.2638+S:0.3262), t=(P:0.2906+T:0.2704+S:0.2944), h=0.000 [å]))
è¹ã¯ã倪éœå
ã倧æ°äžã®æ°Žæ»Žã«åå° ãå±æããŠçãã å
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ã®ã¹ãã¯ãã«ããèµ€ã ãªã¬ã³ãžãé»ãç·ãéãèã玫ã®7è²ã« åºåã£ãŠè¡šçŸããã® ãè¹ã®è¹è²ã§ãã
0.485 (=avg(f=(P:0.1923+T:0.1755+S:0.1927), t=(P:0.3004+T:0.2910+S:0.3043), h=0.000 [å]))
è¹ã¯ãéšç²ã«å€ªéœå
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ã¯å°ãã è§åºŠã§å±æããããã çµæç ã«è¹è²ã®ã¹ãã¯ãã«ãã§ããŸãã
Q16. ã«ããªã«ã³ãã¯äœãè¡ãæœèšã§ããïŒ
Score: 0.732 (±0.1928)
Fluency: 0.794 (PFN:0.3592+Stockmark:0.4346)
Truthfulness: 0.899 (PFN:0.4434+Stockmark:0.4555)
Helpfulness: 0.503
Length: 107.3 (±17.6)
0.993 (=avg(f=(P:0.4835+S:0.4950), t=(P:0.5000+S:0.5000), h=1.000))
ã«ããªã«ã³ãã¯ãå²éçé£éššåžç¥å²¡çºã«ãããã¥ãŒããªã芳枬æœèšã§ããå®å®ããé£æ¥ãããã¥ãŒããªãã®èŠ³æž¬ ãã倪éœãè¶
æ°æççºã«ãããã¥ãŒããªãã® æ€åºãè¡ãããšã§ãå®å®ã® è¬ã«è¿«ãç 究ãè¡ãããŠããŸãã
0.922 (=avg(f=(P:0.3269+S:0.4646), t=(P:0.4895+S:0.4863), h=1.000))
ã«ããªã«ã³ãã¯ã é·é çç¥å²¡çºã«ããçŽ ç²åç©çåŠã®å®éšæœèšã§ãã äž»ã«ãã¥ãŒããªãã®èŠ³æž¬ã è¡ããçŽ ç²åã®æ§è³ª ãå®å®ã® æ§é ãç 究ããŠããŸãã 倧èŠæš¡ãªæ°Žãã§ã¬ã³ã³ãæ€åºåšã«ããããã¥ãŒããªãã® åå¿ãæãããŠããŸãã
0.689 (=avg(f=(P:0.4296+S:0.4676), t=(P:0.4253+S:0.4632), h=0.280 [36åè¶
é*0.3]))
ã«ããªã«ã³ãã¯ãå²éçé£éššåžç¥å²¡çºã«ãããã¥ãŒããªã芳枬æœèšã§ã è¶
çŽæ°Žäžã«èšçœ®ããã çŽ1äžå ã®å
é»åå¢å管ã䜿ã£ãŠããã¥ãŒããªãã芳枬ããŠããŸãããã¥ãŒããªã ã¯é»æ°çã«äžæ§ã§ã ã»ãšãã©ç©è³ªãšçžäºäœçšããªãããã芳枬ãé£ã ãçŽ ç²åã§ããã«ããªã«ã³ãã¯ããã¥ãŒããªã ç 究ãå®å®ã® èµ·æºã®æ¢æ± ã«ãããŠéèŠãªåœ¹å²ãæãããŠããŸãã
0.552 (=avg(f=(P:0.3003+S:0.4215), t=(P:0.4662+S:0.4688), h=0.000 [å²é]))
ã«ããªã«ã³ãã¯ã é·éçæŸæ¬ åžã«ãã ã¹ãŒããŒã«ããªã«ã³ã ã®åã®å®éšæœèšã§ãããã¥ãŒããªãã®èŠ³æž¬ ãš å®å®ç·ç 究 ãè¡ãããšã§ãå®å®ã® èµ·æºãç©è³ªã®æ§é ãªã©ã®ç 究 ã«è²¢ç®ããŠããŸãã
0.347 (=avg(f=(P:0.2342+S:0.3046), t=(P:0.2531+S:0.2500), h=0.000 [å²é]))
ã«ããªã«ã³ãã¯ã ã¹ãŒããŒã«ããªã«ã³ã ã®å身ãšãªãæœèšã§ã é·éçåäœä¹
é¡æ§ã¶å²³ ã®å°äž ã«ãããŸãã å°ç neutrino experiment (Kamiokande) ã®ç¥ç§° ã§ããã¥ãŒããªã ãå®å®ç·ã芳枬ããæœèšã§ãã
Q17. æ¥æ¬ã¯ã©ãããŠå°éãå€ãã®ïŒ
Score: 0.746 (±0.1577)
Fluency: 1.074 (PFN:0.3529+Titech:0.3463+Stockmark:0.3750)
Truthfulness: 0.974 (PFN:0.3246+Titech:0.3235+Stockmark:0.3255)
Helpfulness: 0.190
Length: 113.7 (±16.6)
1.106 (=avg(f=(P:0.4586+T:0.4402+S:0.4371), t=(P:0.3297+T:0.3297+S:0.3233), h=1.000))
æ¥æ¬ãå°éãå€ãçç±ã¯ããŠãŒã©ã·ã¢ãã¬ãŒãã倪平æŽãã¬ãŒãããã£ãªãã³æµ·ãã¬ãŒããåç±³ãã¬ãŒãã®4ã€ã®ãã¬ãŒãã®å¢çã«äœçœ®ããããã§ãããããã®ãã¬ãŒãã çžäºã«é åããããšã§å°éãçºçããŸãããŸããç«å±±æŽ»å ã掻çºã§ãããããå°éãå€ã ã®ã§ãã
0.729 (=avg(f=(P:0.4064+T:0.3813+S:0.4029), t=(P:0.3297+T:0.3333+S:0.3333), h=0.000 [å¢ç]))
æ¥æ¬ã¯ã倪平æŽãã¬ãŒãããŠãŒã©ã·ã¢ãã¬ãŒãããã£ãªãã³æµ·ãã¬ãŒããåç±³ãã¬ãŒãã®4ã€ã®ãã¬ãŒããã¶ã€ããåã å°ç¹ã«äœçœ®ãããããå°éãå€ çºããŠããŸãã ç¹ã«ãæ¥æ¬å島 ã®äžã«æ²ã¿èŸŒ ã倪平æŽãã¬ãŒã㮠圱é¿ã倧ãã ãå€ãã®å°éãåŒãèµ·ãããŠããŸãã
0.686 (=avg(f=(P:0.3432+T:0.3302+S:0.3864), t=(P:0.3333+T:0.3312+S:0.3333), h=0.000 [ãŠãŒã©ã·ã¢ãã¬ãŒã]))
æ¥æ¬ã¯ã倪平æŽãã¬ãŒãããã£ãªãã³æµ·ãã¬ãŒããåã¢ã¡ãªã«ãã¬ãŒããªã©ã®ãã¬ãŒãã®å¢ç äžã«äœçœ®ããŠãããããå°éãå€ãçºçããŸãããã¬ãŒã㮠移åãæ²ã¿èŸŒ ã¿ã«ããå°éãçºçã ãç¹ã«æ²ã¿èŸŒ ããã£ãªãã³æµ·ãã¬ãŒã㮠圱é¿ã倧ããã æ±æ¥æ¬å€§éçœã®ãã㪠倧å°éãåŒãèµ·ãããŠããŸãã
0.654 (=avg(f=(P:0.3309+T:0.3127+S:0.3556), t=(P:0.3235+T:0.3288+S:0.3114), h=0.000 [åç±³ãã¬ãŒã, ãŠãŒã©ã·ã¢ãã¬ãŒã]))
æ¥æ¬ã¯å°éãå€ãçç±ã¯ããã¬ãŒã ãã¯ããã¯ã¹çè«ã§èª¬æ ãããŸããæ¥æ¬å島㯠ãè€æ°ã®ãã¬ãŒãã®å¢ç äžã«äœçœ®ããŠããã倪平æŽãã¬ãŒãããã£ãªãã³æµ·ãã¬ãŒããªã© ãæ²ã¿èŸŒ ãããšã§å°éãçºçããŸãã
0.503 (=avg(f=(P:0.2180+T:0.2345+S:0.2515), t=(P:0.2638+T:0.2566+S:0.2853), h=0.000 [ãã£ãªãã³æµ·ãã¬ãŒã]))
æ¥æ¬ã¯ äžçã§æãå°éã®å€ãåœ ã®ã²ãšã€ã§ã åå ã¯äž»ã«æ¬¡ã®äºã€ãã ããããŸãã 第äžã« ããŠãŒã©ã·ã¢ãã¬ãŒããåã¢ã¡ãªã«ãã¬ãŒãã倪平æŽãã¬ãŒããš ãã倧ããéã ãã¬ãŒãã®å¢ç ç·äžã«äœçœ® ããããã§ãã ç¬¬äº ã«ãæ¥æ¬ ãèŠããã£ãªãã³ãã¬ãŒãã æ·± ãå Žæã«æ²ã¿èŸŒ ãã§ããããšã«ãããæ¥æ¬ ãäžããæŒãäžããåãå ããŠãã ããã§ãã
Q18. 糞éå·é岡æ§é ç·ãšã¯äœã§ããïŒ
Score: 0.616 (±0.0986)
Fluency: 0.860 (PFN:0.2943+Titech:0.2915+Stockmark:0.2747)
Truthfulness: 0.937 (PFN:0.3142+Titech:0.3094+Stockmark:0.3137)
Helpfulness: 0.049
Length: 102.3 (±19.7)
1.041 (=avg(f=(P:0.3669+T:0.3751+S:0.3824), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
糞éå·é岡æ§é ç·ã¯ãæ°æœç糞éå·åžããé岡çé岡åžãŸã§æ¥æ¬å島ã瞊æãã 巚倧ãªå°è³ªæ§é ç·ã§ãããã¬ãŒãã®å¢çã«äœçœ® ããå°é ãç«å±±æŽ»åã®æŽ»çºãªå°åã§ããæ¥æ¬ãæ±è¥¿ã«åããå¢çç·ãšã㊠ãç¥ãããŠããŸãã
0.638 (=avg(f=(P:0.3404+T:0.3314+S:0.3078), t=(P:0.3160+T:0.3083+S:0.3111), h=0.000 [å°è³ª, å¢ç]))
糞éå·é岡æ§é ç·ã¯ãæ¥æ¬å島 äžå€®éšãååã«èµ°ã倧èŠæš¡ãªæŽ»æ局垯ã§ãæ°æœç糞éå·åžããé岡ç 沌接åžãŸã§ çŽ200km ã«ããã£ãŠé£ ãªã£ãŠããŸããã ããŸã§ã« ã倧ã㪠å°éãåŒãèµ·ãããŠããã å°æ¥ ã®å°é掻åãæžå¿µ ãããŠããŸãã
0.603 (=avg(f=(P:0.2939+T:0.3286+S:0.2670), t=(P:0.3007+T:0.3111+S:0.3069), h=0.000 [å°è³ª, å¢ç, æ±]))
糞éå·é岡æ§é ç·ã¯ãæ°æœçã®ç³žéå·åžããé岡çã® äžç° åžãŸã§ 䌞ã³ãçŽ200kmã®æ§é ç·ã§ãããã®æ§é ç· ã«æ²¿ã£ãŠãæ¥æ¬å島㮠äžå€®éšã å°æ®»å€åãç¹°ãè¿ãã å¯å£«å±±ãªã©ã®ç«å±±æŽ»åãå°é掻åã«ã圱é¿ãäžããŠããŸãã
0.565 (=avg(f=(P:0.2563+T:0.2648+S:0.2045), t=(P:0.3263+T:0.3326+S:0.3116), h=0.000 [æ°æœç, å¢ç]))
糞éå·é岡æ§é ç·ã¯ãæ¥æ¬ã® äž»èŠãªå°è³ªæ§é ç·ã®äžã€ã§ã糞éå·åžãšé岡åžãçµã¶ çŽ ç·äžã«äœçœ® ããŸãã çŽ1å幎åã«çãããã¬ãŒã㮠移 åã«ãã£ãŠåœ¢æãã ãåéžå°æ¹ã®æ¥æ¬æµ· åŽãšåã¢ã«ãã¹ãåããŠããŸãã å°éãç«å±±æŽ»åãšæ·±ãé¢ä¿ããŠããŸãã
0.482 (=avg(f=(P:0.2298+T:0.2329+S:0.1698), t=(P:0.2765+T:0.2744+S:0.2625), h=0.000 [æ°æœç]))
糞éå·é岡æ§é ç·ã¯ãæ¥æ¬ ã«ããã倧èŠæš¡ãªå°è³ªæ§é ã®äžã€ã§ã åæ¥æ¬ãš åæ¥æ¬ã®å¢çç· ã«åœãããŸãããã®æ§é ç·ã® åšèŸº ã§ã¯ãå°ç€ãäžå®å®ã§ å°éãç«å±±æŽ»åã掻çºãªå°åãå€ãã å¯å£«å±±ãç«å±±é£å³°ãªã© æ¥æ¬ã 代衚ãã山岳å°åž¯ ã圢æãããŠããŸãã
Q19. å€ã¯ã©ãããŠæãã®ïŒ
Score: 0.708 (±0.1738)
Fluency: 0.836 (PFN:0.2791+Titech:0.2838+Stockmark:0.2726)
Truthfulness: 0.941 (PFN:0.3195+Titech:0.3166+Stockmark:0.3051)
Helpfulness: 0.346
Length: 103.9 (±28.2)
1.006 (=avg(f=(P:0.3626+T:0.3570+S:0.3174), t=(P:0.3333+T:0.3333+S:0.3154), h=1.000))
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0.914 (=avg(f=(P:0.2721+T:0.2843+S:0.2475), t=(P:0.3224+T:0.3098+S:0.3059), h=1.000))
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0.611 (=avg(f=(P:0.2568+T:0.2787+S:0.3073), t=(P:0.3275+T:0.3326+S:0.3290), h=0.000 [åŸ, é·]))
å€ãæããªã äž»ãªçç±ã¯ã倪éœå
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0.578 (=avg(f=(P:0.2701+T:0.2486+S:0.2420), t=(P:0.3333+T:0.3333+S:0.3052), h=0.000 [é·]))
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0.439 (=avg(f=(P:0.1734+T:0.1696+S:0.1753), t=(P:0.2765+T:0.2779+S:0.2435), h=0.000 [åŸ]))
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Score: 0.861 (±0.1703)
Fluency: 0.900 (PFN:0.4269+Titech:0.4734)
Truthfulness: 0.849 (PFN:0.4219+Titech:0.4269)
Helpfulness: 0.833
Length: 121.1 (±25.6)
1.077 (=avg(f=(P:0.5736+T:0.6560), t=(P:0.5000+T:0.5000), h=1.000))
å°çã®æŽå²ã¯ãçŽ46å幎åã«å§ãŸããŸãããåå§å°çã®èªç åŸã倧æ°ãæµ·æŽã圢æãããçåœãèªçããŸããããã®åŸãå€ç代ãäžç代ãæ°ç代ã®æ代ãçµãŠãçŸåšã®å°ç ãžãšé²åããŠããŸãã
0.984 (=avg(f=(P:0.4337+T:0.5210), t=(P:0.4978+T:0.5000), h=1.000))
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0.916 (=avg(f=(P:0.4521+T:0.4819), t=(P:0.4106+T:0.4033), h=1.000))
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0.819 (=avg(f=(P:0.3026+T:0.3679), t=(P:0.3653+T:0.4221), h=1.000))
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0.387 (=avg(f=(P:0.2688+T:0.3035), t=(P:0.2848+T:0.3043), h=0.000 [çåœ]))
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Score: 0.984 (±0.0941)
Fluency: 1.028 (PFN:0.4942+Stockmark:0.5340)
Truthfulness: 0.965 (PFN:0.4828+Stockmark:0.4822)
Helpfulness: 0.960
Length: 113.1 (±14.2)
1.107 (=avg(f=(P:0.6232+S:0.6969), t=(P:0.5000+S:0.5000), h=1.000))
Rubyã¯ããŸã€ããšããã²ãæ°ã«ãã£ãŠéçºããããªããžã§ã¯ãæåããã°ã©ãã³ã°èšèªã§ããã·ã³ãã«ã§èªã¿ããã æ§æãç¹åŸŽã§ãWebã¢ããªã±ãŒã·ã§ã³éçºãªã©ã§åºãå©çšãããŠããŸããRuby on Railsãªã©ã®ãã¬ãŒã ã¯ãŒã¯ãæåã§ãã
1.032 (=avg(f=(P:0.5056+S:0.5972), t=(P:0.4979+S:0.4948), h=1.000))
Rubyã¯ããŸã€ããšããã²ãã«ãã£ãŠéçºããããªãŒãã³ãœãŒã¹ã®ããã°ã©ãã³ã°èšèªã§ããã·ã³ãã«ã§èªã¿ãããææ³ãæã¡ããªããžã§ã¯ãæåèšèªãšã㊠ãç¥ãããŠããŸããWebã¢ããªã±ãŒã·ã§ã³éçºãã·ã¹ãã èªååããŒã« ãªã©ã«åºã䜿ãããŠããŸãã
1.001 (=avg(f=(P:0.5135+S:0.5381), t=(P:0.4840+S:0.4660), h=1.000))
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0.974 (=avg(f=(P:0.4806+S:0.4770), t=(P:0.4823+S:0.4823), h=1.000))
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0.519 (=avg(f=(P:0.2960+S:0.3401), t=(P:0.4305+S:0.4895), h=0.000 [ãŸã€ããšããã²ã]))
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Score: 0.907 (±0.1823)
Fluency: 0.980 (PFN:0.2575+Titech:0.3376+Stockmark:0.3845)
Truthfulness: 0.943 (PFN:0.3015+Titech:0.3170+Stockmark:0.3246)
Helpfulness: 0.797
Length: 114.0 (±26.9)
1.095 (=avg(f=(P:0.3607+T:0.4528+S:0.4715), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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1.013 (=avg(f=(P:0.2659+T:0.3670+S:0.4216), t=(P:0.3172+T:0.3333+S:0.3333), h=1.000))
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0.976 (=avg(f=(P:0.2681+T:0.3317+S:0.3767), t=(P:0.2859+T:0.3333+S:0.3319), h=1.000))
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Score: 0.732 (±0.1586)
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Truthfulness: 0.958 (PFN:0.3194+Titech:0.3194+Stockmark:0.3194)
Helpfulness: 0.397
Length: 111.2 (±17.0)
1.016 (=avg(f=(P:0.3608+T:0.3178+S:0.3814), t=(P:0.3304+T:0.3297+S:0.3289), h=1.000))
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0.898 (=avg(f=(P:0.2430+T:0.2325+S:0.2541), t=(P:0.3145+T:0.3290+S:0.3217), h=1.000))
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0.593 (=avg(f=(P:0.2389+T:0.2975+S:0.2539), t=(P:0.3305+T:0.3333+S:0.3256), h=0.000 [æå±€å]))
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Score: 0.925 (±0.0645)
Fluency: 0.847 (PFN:0.2846+Titech:0.2855+Stockmark:0.2767)
Truthfulness: 0.947 (PFN:0.3151+Titech:0.3172+Stockmark:0.3151)
Helpfulness: 0.980
Length: 110.7 (±54.2)
1.013 (=avg(f=(P:0.3599+T:0.3496+S:0.3671), t=(P:0.3152+T:0.3333+S:0.3152), h=1.000))
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Score: 0.553 (±0.1331)
Fluency: 0.687 (PFN:0.2197+Titech:0.2450+Stockmark:0.2228)
Truthfulness: 0.880 (PFN:0.2870+Titech:0.3002+Stockmark:0.2933)
Helpfulness: 0.090
Length: 112.7 (±34.4)
0.983 (=avg(f=(P:0.3142+T:0.3304+S:0.3479), t=(P:0.3172+T:0.3158+S:0.3223), h=1.000))
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Score: 0.864 (±0.1852)
Fluency: 0.982 (PFN:0.3317+Titech:0.3009+Stockmark:0.3494)
Truthfulness: 0.932 (PFN:0.3137+Titech:0.3036+Stockmark:0.3143)
Helpfulness: 0.678
Length: 106.6 (±14.0)
1.131 (=avg(f=(P:0.4764+T:0.4403+S:0.4779), t=(P:0.3333+T:0.3305+S:0.3333), h=1.000))
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Score: 0.827 (±0.1226)
Fluency: 0.723 (PFN:0.2348+Titech:0.2679+Stockmark:0.2199)
Truthfulness: 0.892 (PFN:0.3002+Titech:0.2997+Stockmark:0.2921)
Helpfulness: 0.867
Length: 103.5 (±22.1)
0.952 (=avg(f=(P:0.2684+T:0.3703+S:0.2271), t=(P:0.3319+T:0.3333+S:0.3262), h=1.000))
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Score: 0.489 (±0.0432)
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Helpfulness: 1.000
Length: 106.5 (±14.4)
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Score: 0.435 (±0.1086)
Fluency: 0.592 (RAG:0.5921)
Truthfulness: 0.652 (RAG:0.6523)
Helpfulness: 0.060
Length: 102.0 (±18.4)
0.742 (=avg(f=(R:0.9102), t=(R:0.8143), h=0.500 [湯桶èªã¿*0.5]))
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Score: 0.766 (±0.1861)
Fluency: 0.902 (PFN:0.2984+Titech:0.2987+Stockmark:0.3049)
Truthfulness: 0.939 (PFN:0.3101+Titech:0.3112+Stockmark:0.3173)
Helpfulness: 0.458
Length: 109.8 (±12.5)
1.053 (=avg(f=(P:0.4068+T:0.3690+S:0.3905), t=(P:0.3333+T:0.3277+S:0.3305), h=1.000))
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0.961 (=avg(f=(P:0.2897+T:0.2893+S:0.3119), t=(P:0.3326+T:0.3268+S:0.3319), h=1.000))
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0.678 (=avg(f=(P:0.3654+T:0.3421+S:0.3615), t=(P:0.3156+T:0.3234+S:0.3262), h=0.000 [éåœ]))
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0.606 (=avg(f=(P:0.3042+T:0.3081+S:0.3469), t=(P:0.2882+T:0.2839+S:0.2875), h=0.000 [éåœ, æ±æž]))
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0.460 (=avg(f=(P:0.2285+T:0.2467+S:0.2071), t=(P:0.2241+T:0.2305+S:0.2418), h=0.000 [éåœ]))
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Score: 0.778 (±0.2008)
Fluency: 0.761 (PFN:0.2398+Titech:0.2628+Stockmark:0.2581)
Truthfulness: 0.924 (PFN:0.3081+Titech:0.3102+Stockmark:0.3060)
Helpfulness: 0.650
Length: 98.3 (±11.0)
1.010 (=avg(f=(P:0.3304+T:0.3496+S:0.3856), t=(P:0.3261+T:0.3197+S:0.3189), h=1.000))
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0.939 (=avg(f=(P:0.2703+T:0.2607+S:0.2910), t=(P:0.3333+T:0.3269+S:0.3333), h=1.000))
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Score: 0.438 (±0.0737)
Fluency: 0.520 (PFN:0.5203)
Truthfulness: 0.793 (PFN:0.7931)
Helpfulness: 0.000
Length: 104.5 (±56.2)
0.644 (=avg(f=(P:0.9541), t=(P:0.9773), h=0.000 [ææ島, å鳥島]))
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Score: 0.790 (±0.1832)
Fluency: 0.878 (PFN:0.2904+Titech:0.2891+Stockmark:0.2987)
Truthfulness: 0.942 (PFN:0.3138+Titech:0.3145+Stockmark:0.3138)
Helpfulness: 0.549
Length: 97.2 (±10.0)
1.058 (=avg(f=(P:0.3962+T:0.3848+S:0.4075), t=(P:0.3319+T:0.3262+S:0.3277), h=1.000))
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Score: 0.816 (±0.1757)
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Truthfulness: 0.928 (PFN:0.3074+Titech:0.3102+Stockmark:0.3102)
Helpfulness: 0.670
Length: 98.2 (±15.8)
1.031 (=avg(f=(P:0.3510+T:0.3795+S:0.3648), t=(P:0.3333+T:0.3309+S:0.3333), h=1.000))
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0.610 (=avg(f=(P:0.2427+T:0.3263+S:0.2811), t=(P:0.3225+T:0.3304+S:0.3275), h=0.000 [æ²æ³]))
倩çã¯ãæ¥æ¬ã®åœã®è±¡åŸŽãšããŠãåœå®¶ çµ± æ²»ã«é¢ããååŒã å€äº€ãªã©ã®å
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0.445 (=avg(f=(P:0.1322+T:0.1747+S:0.1500), t=(P:0.2988+T:0.2609+S:0.3193), h=0.000 [æ²æ³, 象城]))
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Score: 0.732 (±0.1733)
Fluency: 0.745 (PFN:0.2463+Titech:0.2557+Stockmark:0.2426)
Truthfulness: 0.931 (PFN:0.3079+Titech:0.3130+Stockmark:0.3100)
Helpfulness: 0.520
Length: 98.8 (±10.3)
0.979 (=avg(f=(P:0.3367+T:0.3073+S:0.2944), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
äžæš©åç«ãšã¯ãç«æ³æš©ãè¡æ¿æš©ãåžæ³æš©ã®äžã€ã®æš©åãå é¢ããããããã®æ©é¢ãäºãã«ç¬ç«ããŠè¡äœ¿ããããšã§ãæš©åã®ä¹±çšãé²ããåœæ°ã®èªç±ãšæš©å©ãä¿éãã æ¿æ²»äœå¶ã§ããæ¥æ¬ ã§ã¯ãåœ äŒãå
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0.905 (=avg(f=(P:0.2348+T:0.2729+S:0.2433), t=(P:0.3221+T:0.3203+S:0.3212), h=1.000))
äžæš©åç«ãšã¯ãç«æ³ åºïŒåœäŒïŒãè¡æ¿ åºïŒå
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0.746 (=avg(f=(P:0.2030+T:0.2294+S:0.1912), t=(P:0.2559+T:0.2710+S:0.2688), h=0.820 [9åè¶
é*0.8]))
äžæš©åç«ãšã¯ãç«æ³æš©ãè¡æ¿æš©ãåžæ³æš©ã® äžæš©ãç¬ç«ããæ©é¢ã«åãã æ¿æ²»äœå¶ã®ããšã§ããç«æ³æš© ã¯æ³åŸãäœãæš©é ãè¡æ¿æš© ã¯æ³åŸãå®è¡ããæš©é ãåžæ³æš© ã¯æ³åŸãé©çšãã æš©éãæã¡ãäºãã«ç£èŠãåãããšã§æš©åã®éäžãé²ããæ°äž»äž»çŸ© ãå®çŸããŸãã
0.568 (=avg(f=(P:0.2505+T:0.2536+S:0.2255), t=(P:0.3297+T:0.3150+S:0.3282), h=0.000 [èªç±]))
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0.418 (=avg(f=(P:0.1517+T:0.2210+S:0.1415), t=(P:0.2337+T:0.2637+S:0.2419), h=0.000 [èªç±]))
äžæš©åç«ãšã¯ãç«æ³æš©ïŒ æ³åŸãäœã ïŒãè¡æ¿æš©ïŒ æ³åŸãå®è¡ãã ïŒãåžæ³æš©ïŒ æ³åŸã«åŸã£ãŠå€æãã ïŒã®äžã€ã®æš©åãåç«ããã æ¿æ²»äœå¶ã§ãã ãäºãã ãã§ãã¯ã¢ã³ããã©ã³ã¹ ã®é¢ä¿ ã«ãããæš©åéäžãé²ãããšã ç®çã§ãã
Q37. æ¥æ¬éè¡ã®åœ¹å²ã¯äœã§ããïŒ
Score: 0.759 (±0.218)
Fluency: 0.836 (PFN:0.2732+Titech:0.2829+Stockmark:0.2800)
Truthfulness: 0.952 (PFN:0.3164+Titech:0.3200+Stockmark:0.3155)
Helpfulness: 0.490
Length: 98.2 (±30.5)
1.052 (=avg(f=(P:0.3892+T:0.3836+S:0.4029), t=(P:0.3280+T:0.3295+S:0.3220), h=1.000))
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0.971 (=avg(f=(P:0.3005+T:0.3229+S:0.3054), t=(P:0.3333+T:0.3246+S:0.3261), h=1.000))
æ¥æ¬éè¡ã¯ãæ¥æ¬ åœã®äžå€®éè¡ã§ãããé貚ã®çºè¡ãéèæ¿çã®å®æœãéèã·ã¹ãã ã®å®å®åãªã©ãè¡ããŸãã å
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0.679 (=avg(f=(P:0.3325+T:0.3608+S:0.3670), t=(P:0.3258+T:0.3273+S:0.3242), h=0.000 [éèæ¿ç]))
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0.559 (=avg(f=(P:0.2316+T:0.2356+S:0.2403), t=(P:0.3242+T:0.3242+S:0.3215), h=0.000 [äžå€®éè¡]))
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0.257 (=avg(f=(P:0.0482+T:0.0487+S:0.0503), t=(P:0.2000+T:0.2400+S:0.1833), h=0.000 [äžå€®éè¡, éèæ¿ç, å®å®, éè¡åž]))
æ¥æ¬éè¡ã®åœ¹å² ã«ã¯ã以äžã®ãã®ãå«ãŸ ããŸãã
Q38. ä¿¡çšååŒãšå
ç©ååŒã®éãã¯äœã§ããïŒ
Score: 0.830 (±0.1843)
Fluency: 0.972 (PFN:0.3013+Titech:0.3261+Stockmark:0.3448)
Truthfulness: 0.953 (PFN:0.3185+Titech:0.3155+Stockmark:0.3189)
Helpfulness: 0.563
Length: 120.9 (±16.1)
1.062 (=avg(f=(P:0.3847+T:0.3895+S:0.4186), t=(P:0.3333+T:0.3277+S:0.3333), h=1.000))
ä¿¡çšååŒã¯ã蚌åžäŒç€Ÿããè³éãåãå
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ç©ååŒã¯ ããªããã£ãååŒã® äžçš®ã§ãã
0.993 (=avg(f=(P:0.3354+T:0.3647+S:0.3596), t=(P:0.3074+T:0.3074+S:0.3032), h=1.000))
ä¿¡çšååŒã¯ã蚌åžäŒç€Ÿãã ãéãåããŠæ ªåŒãªã©ã®éèååã 賌å
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0.905 (=avg(f=(P:0.3107+T:0.3387+S:0.3646), t=(P:0.3113+T:0.3092+S:0.3206), h=0.760 [12åè¶
é*0.8]))
ä¿¡çšååŒã¯ã蚌åžäŒç€Ÿãã ãéãåããŠ æ ªã賌å
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0.645 (=avg(f=(P:0.2857+T:0.3209+S:0.3545), t=(P:0.3240+T:0.3219+S:0.3276), h=0.000))
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0.521 (=avg(f=(P:0.2581+T:0.2804+S:0.3097), t=(P:0.2341+T:0.2193+S:0.2615), h=0.000 [äŸ¡æ Œ]))
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Q39. æ¥æ¬è³çãšã¯ã©ã®ãããªææçã§ããïŒ
Score: 0.658 (±0.1483)
Fluency: 0.829 (PFN:0.2845+Titech:0.2719+Stockmark:0.2725)
Truthfulness: 0.940 (PFN:0.3164+Titech:0.3082+Stockmark:0.3150)
Helpfulness: 0.204
Length: 103.5 (±10.6)
1.057 (=avg(f=(P:0.4087+T:0.3481+S:0.4129), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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0.671 (=avg(f=(P:0.3595+T:0.3473+S:0.3098), t=(P:0.3287+T:0.3333+S:0.3333), h=0.000 [ã¯ã¯ãã³]))
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0.623 (=avg(f=(P:0.3330+T:0.3066+S:0.3058), t=(P:0.3140+T:0.3039+S:0.3061), h=0.000 [ã¯ã¯ãã³, äºé²]))
æ¥æ¬è³çã¯ãæ¥æ¬è³çãŠã€ã«ã¹ã«ææããããšã§çºçããææçã§ã䞻㫠è±ãé³¥ ãåªä» ã«ããŠèã«ãã£ãŠ 人ã«ææããŸãã æœäŒæéã¯çŽäžé±é ã§ãé«ç±ãé çãæèé害ããããããªã©ã®çç¶ãçŸããéçåãããšæ»ã«è³ãããšããããŸãã
0.564 (=avg(f=(P:0.2824+T:0.2815+S:0.2770), t=(P:0.2833+T:0.2833+S:0.2833), h=0.000 [ã¯ã¯ãã³, äºé²]))
æ¥æ¬è³çã¯ãæ¥æ¬è³çãŠã€ã«ã¹ã®ææã«ãã£ãŠ èµ·ããæ¥æ§è³çã§ãã éçã®é³¥ããè± ã«ææãã è±ã飌è²ãã å°åã§èã«ãã£ãŠ 人ã«ã ææããŸããçºç±ãé çããããããæèé害ãªã©ã®çç¶ãçŸããéçåãããšæ»äº¡ãã å ŽåããããŸãã
0.422 (=avg(f=(P:0.1540+T:0.1442+S:0.1496), t=(P:0.2800+T:0.2639+S:0.2737), h=0.000 [äºé²]))
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Q40. æéãšåæ°éã®éããæããŠã
Score: 0.868 (±0.1658)
Fluency: 0.903 (PFN:0.3212+Titech:0.2743+Stockmark:0.3079)
Truthfulness: 0.930 (PFN:0.3126+Titech:0.3029+Stockmark:0.3147)
Helpfulness: 0.771
Length: 126.8 (±20.4)
1.082 (=avg(f=(P:0.4267+T:0.4169+S:0.4031), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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0.993 (=avg(f=(P:0.3639+T:0.3424+S:0.3767), t=(P:0.3094+T:0.2913+S:0.2964), h=1.000))
æéãšåæ°éã¯ã ãšãã«æ¥æ¬çºç¥¥ã®æŠéã§ããã ããã€ãã®éãããããŸããæéã¯ãçžæãæã é£ã°ãããå°é¢ã«å¯ãã㊠æŒãã蟌ãæãäžå¿ ã«å±é ãã競ææŠéã§ããäžæ¹ãåæ°éã¯ãçžæã®åãå©çšããŠæã é£ã°ãæãäžå¿ ãšããè·èº«è¡ ã§ãç«¶äº ã§ã¯ãªããèªå·±éé¬ ãç®çãš ãããŠããŸãã
0.914 (=avg(f=(P:0.2894+T:0.2373+S:0.2860), t=(P:0.3123+T:0.3116+S:0.3058), h=1.000))
æéã¯ãæ¥æ¬ã®æŠé ã®äžã€ã§ãè©Šå圢åŒã®çµã¿æå士 ã®ç«¶æã§ãããçžæãæããã åºãããããŠãã€ã³ãã奪 ãåãæ Œéæã§ããäžæ¹ãåæ°éã¯ãçžæã®å ãåããå©çšã㊠åãããã ã²ã㣠ããããæŠéã§ã 競æ圢åŒã§ã¯ãªããçžæã å·ã€ããã«å¶ããããšãç®çãšããŠããŸãã
0.805 (=avg(f=(P:0.2512+T:0.1764+S:0.2180), t=(P:0.2837+T:0.2766+S:0.3092), h=0.900 [5åè¶
é*0.9]))
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0.426 (=avg(f=(P:0.1902+T:0.1323+S:0.1750), t=(P:0.2638+T:0.2384+S:0.2790), h=0.000 [競, çžæ]))
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Q41. èæ ¹æ¹¯ãšã¯äœã§ããïŒ
Score: 0.737 (±0.1925)
Fluency: 0.772 (PFN:0.2880+Titech:0.2329+Stockmark:0.2511)
Truthfulness: 0.930 (PFN:0.3155+Titech:0.3049+Stockmark:0.3092)
Helpfulness: 0.510
Length: 94.5 (±10.1)
1.010 (=avg(f=(P:0.3913+T:0.3086+S:0.3433), t=(P:0.3301+T:0.3253+S:0.3317), h=1.000))
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Truthfulness: 0.950 (PFN:0.3175+Titech:0.3225+Stockmark:0.3094)
Helpfulness: 0.283
Length: 118.9 (±13.3)
0.954 (=avg(f=(P:0.3375+T:0.3812+S:0.2832), t=(P:0.3333+T:0.3333+S:0.3333), h=0.860 [7åè¶
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Truthfulness: 0.906 (PFN:0.3046+Titech:0.3011+Stockmark:0.3004)
Helpfulness: 0.120
Length: 98.5 (±8.7)
1.056 (=avg(f=(P:0.3871+T:0.3803+S:0.4000), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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Truthfulness: 0.909 (PFN:0.3038+Titech:0.3034+Stockmark:0.3019)
Helpfulness: 0.384
Length: 98.2 (±12.0)
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Q47. æ¥åã®æ¥ãšç§åã®æ¥ã¯ã©ã®ããã«æ±ºãŸãã®ïŒ
Score: 0.747 (±0.0888)
Fluency: 0.843 (PFN:0.2745+Titech:0.2774+Stockmark:0.2909)
Truthfulness: 0.925 (PFN:0.3088+Titech:0.3077+Stockmark:0.3085)
Helpfulness: 0.474
Length: 117.9 (±73.2)
0.989 (=avg(f=(P:0.3197+T:0.3060+S:0.3447), t=(P:0.3333+T:0.3317+S:0.3309), h=1.000))
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0.793 (=avg(f=(P:0.3246+T:0.3258+S:0.3176), t=(P:0.3068+T:0.3004+S:0.3032), h=0.500 [åœç«å€©æå°*0.5]))
æ¥åã®æ¥ãšç§åã®æ¥ã¯ã倪éœã èµ€éäžã§çäžã«ã ãæ¥ã§ãæŒãšå€ã®é·ããã»ãŒåãã«ãªãæ¥ã§ããæ¥æ¬ã§ã¯ãæ¥åã®æ¥ ãæ¥åç¹ ãééããæ¥ãç§åã®æ¥ ãç§åç¹ ãééããæ¥ ã«å®ããŠããŸãããããã ãæ§æŠã®å§ããšçµ ããã瀺ãæ¥ã§ããããŸãã
0.756 (=avg(f=(P:0.2921+T:0.2764+S:0.3237), t=(P:0.2839+T:0.2903+S:0.3032), h=0.500 [åœç«å€©æå°*0.5]))
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0.717 (=avg(f=(P:0.2528+T:0.2448+S:0.2942), t=(P:0.2855+T:0.2899+S:0.2833), h=0.500 [åœç«å€©æå°*0.5]))
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0.502 (=avg(f=(P:0.2372+T:0.2300+S:0.2614), t=(P:0.2616+T:0.2502+S:0.2645), h=0.000 [æ¥åç¹, åœç«å€©æå°*0.5]))
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Q48. äžèããã«ã€ããŠæããŠã
Score: 0.555 (±0.1539)
Fluency: 0.686 (PFN:0.2053+Titech:0.2404+Stockmark:0.2407)
Truthfulness: 0.892 (PFN:0.2960+Titech:0.2999+Stockmark:0.2964)
Helpfulness: 0.087
Length: 105.1 (±10.8)
1.011 (=avg(f=(P:0.3335+T:0.3431+S:0.3569), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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0.622 (=avg(f=(P:0.2846+T:0.3066+S:0.3320), t=(P:0.3116+T:0.3243+S:0.3079), h=0.000 [æ¥ã®äžè]))
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0.555 (=avg(f=(P:0.2654+T:0.2809+S:0.3133), t=(P:0.2593+T:0.2874+S:0.2593), h=0.000 [ç¡ç
æ¯çœ, 人æ¥]))
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0.454 (=avg(f=(P:0.0872+T:0.1830+S:0.1471), t=(P:0.3119+T:0.3207+S:0.3111), h=0.000 [ç¡ç
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0.292 (=avg(f=(P:0.0627+T:0.0870+S:0.0801), t=(P:0.2054+T:0.2270+S:0.2144), h=0.000 [ç¡ç
æ¯çœ, 人æ¥, ã»ãª]))
äžèããã¯ã å°è±ç²¥ ã«æ¥ã®äžèã å ã ãã粥㧠ãäžèç²¥ãšãåŒã°ããŸãã æ°å¹ŽæããŠãã æ¥ã®äžèãå
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Q49. ç¥ç€Ÿãšå¯ºã®éãã«ã€ããŠæããŠã
Score: 0.803 (±0.1451)
Fluency: 0.830 (PFN:0.2898+Titech:0.2612+Stockmark:0.2794)
Truthfulness: 0.938 (PFN:0.3169+Titech:0.3130+Stockmark:0.3086)
Helpfulness: 0.640
Length: 103.2 (±10.7)
1.018 (=avg(f=(P:0.3659+T:0.3335+S:0.3644), t=(P:0.3333+T:0.3333+S:0.3238), h=1.000))
ç¥ç€Ÿãšå¯ºã®éãã¯ãä¿¡ä»°ããå®æãç°ãªããŸããç¥ç€Ÿã¯ç¥éã® ç¥ç¥æœèšã§ãããç¥æ§ãç¥ã£ãŠããŸããäžæ¹ã寺ã¯ä»æã®æœèšã§ãããä»æ§ãç¥ã£ãŠããŸãã 建ç¯ç©ãè£
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0.929 (=avg(f=(P:0.2932+T:0.2380+S:0.2552), t=(P:0.3333+T:0.3326+S:0.3333), h=1.000))
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0.806 (=avg(f=(P:0.3217+T:0.3078+S:0.3000), t=(P:0.3333+T:0.3333+S:0.3215), h=0.500 [é³¥å±
*0.5]))
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0.723 (=avg(f=(P:0.2655+T:0.2469+S:0.2643), t=(P:0.2982+T:0.3099+S:0.2850), h=0.500 [é³¥å±
*0.5]))
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0.389 (=avg(f=(P:0.1489+T:0.1402+S:0.1545), t=(P:0.2409+T:0.2424+S:0.2402), h=0.000 [ç¥é, ç¥, é³¥å±
*0.5, ä»æ]))
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Q50. ç¥åšæãšã¯äœã§ããïŒ
Score: 0.719 (±0.1854)
Fluency: 0.802 (PFN:0.2621+Titech:0.2577+Stockmark:0.2819)
Truthfulness: 0.936 (PFN:0.3089+Titech:0.3150+Stockmark:0.3119)
Helpfulness: 0.419
Length: 96.4 (±14.0)
1.012 (=avg(f=(P:0.3526+T:0.3154+S:0.3671), t=(P:0.3333+T:0.3333+S:0.3333), h=1.000))
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0.919 (=avg(f=(P:0.2591+T:0.2561+S:0.2694), t=(P:0.3227+T:0.3258+S:0.3242), h=1.000))
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0.612 (=avg(f=(P:0.3071+T:0.2820+S:0.2693), t=(P:0.3254+T:0.3254+S:0.3254), h=0.000 [10æ]))
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0.565 (=avg(f=(P:0.2328+T:0.2293+S:0.2747), t=(P:0.3146+T:0.3249+S:0.3192), h=0.000 [ç¥ç¡æ]))
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0.380 (=avg(f=(P:0.1099+T:0.1311+S:0.1278), t=(P:0.2486+T:0.2643+S:0.2596), h=0.000 [åºé², æ§æŠ, 10æ, ç¥ç¡æ]))
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