{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bf432cdabe5d","filters":{"venue":"Text, speech and language technology"}},"results":[{"id":"W1500096219","doi":"10.1007/978-94-017-2535-4_19","title":"Evaluation of parallel text alignment systems","year":2000,"lang":"en","type":"book-chapter","venue":"Text, speech and language technology","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Sentence; Spotting; Computer science; Natural language processing; Word (group theory); Task (project management); Artificial intelligence; Track (disk drive); Translation (biology); Speech recognition; Linguistics; Engineering","authors":[{"name":"Jean Véronis","is_ca":false},{"name":"Philippe Langlais","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01610622627184347,"gpt":0.2729720834832077,"spread":0.2568658572113642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004999169,0.001994186,0.001751134,0.002574546,0.001303131,0.002436953,0.002693426,0.001665141,0.01052749],"category_scores_gemma":[0.01883365,0.0006900023,0.0007274633,0.003713729,0.000684885,0.00335715,0.002292724,0.0009870619,0.004719171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264258,"about_ca_system_score_gemma":0.001602882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007674919,"about_ca_topic_score_gemma":0.005474527,"domain_scores_codex":[0.9932856,0.002811664,0.0008673299,0.001285206,0.001457899,0.0002922559],"domain_scores_gemma":[0.9821951,0.009922982,0.0006820073,0.00183728,0.004818568,0.0005440494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01289181,0.00315297,0.006836112,0.002436546,0.0008858747,0.0007317816,0.0007212489,0.06846227,0.05441408,0.002772072,0.0328255,0.8138697],"study_design_scores_gemma":[0.003374519,0.007126301,0.01569238,0.0001467913,0.001137182,0.001128515,0.001457292,0.7759889,0.1622642,0.006946959,0.02452906,0.0002079446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8440456,0.006944253,0.09669073,0.0008759784,0.001205164,0.001247492,0.007475098,0.02318682,0.01832874],"genre_scores_gemma":[0.7778062,0.002289237,0.1559857,0.0002960481,0.0004084575,0.0006855097,0.04701161,0.001672303,0.013845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01052749,"threshold_uncertainty_score":0.03521794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043104383","doi":"10.1007/978-1-4020-4746-6_8","title":"Question Answering By Passage Selection","year":2006,"lang":"en","type":"book-chapter","venue":"Text, speech and language technology","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Question answering; Computer science; Selection (genetic algorithm); Redundancy (engineering); Information retrieval; Data mining; Artificial intelligence","authors":[{"name":"Charles L. A. Clarke","is_ca":true},{"name":"Gordon V. Cormack","is_ca":true},{"name":"Thomas R. Lynam","is_ca":true},{"name":"Egidio L. Terra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004151132688285129,"gpt":0.2323386379663906,"spread":0.2281875052781054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314645,0.001350257,0.001858896,0.003126608,0.001360565,0.002637905,0.003028198,0.001301054,0.03096661],"category_scores_gemma":[0.007441724,0.0007665532,0.002095024,0.002528314,0.001282257,0.005296805,0.00284936,0.001694795,0.01502225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007086357,"about_ca_system_score_gemma":0.0007063649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002605276,"about_ca_topic_score_gemma":0.003027557,"domain_scores_codex":[0.9971126,0.001347361,0.000158855,0.000693011,0.0005214714,0.0001667058],"domain_scores_gemma":[0.9966263,0.002250313,0.00006935987,0.0005036862,0.0004514807,0.00009893173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004185352,0.0002625842,0.0008945502,0.0008360169,0.0001783574,0.0004172873,0.001114312,0.004922632,0.0280207,0.08320402,0.1060454,0.7736858],"study_design_scores_gemma":[0.0001725643,0.0003370011,0.002404578,0.000183923,0.0004906844,0.001546396,0.001167454,0.3050378,0.06996091,0.3588435,0.2596914,0.0001637537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01185567,0.00166943,0.9396197,0.0009656746,0.0003375037,0.0004720468,0.001998737,0.01522999,0.02785122],"genre_scores_gemma":[0.1484074,0.001001571,0.7930056,0.0005788645,0.0004748532,0.0005549208,0.01050951,0.001619789,0.04384757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03096661,"threshold_uncertainty_score":0.1035936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2172876946","doi":"10.1007/978-3-319-08043-7_21","title":"JSREAL: A Text Realizer for Web Programming","year":2014,"lang":"en","type":"book-chapter","venue":"Text, speech and language technology","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"JavaScript; Computer science; Dynamic web page; Variety (cybernetics); World Wide Web; Web page; Static web page; Presentation (obstetrics); Client-side scripting; Web application; Web browser; Web development; The Internet; Artificial intelligence","authors":[{"name":"Nicolas Daoust","is_ca":true},{"name":"Guy Lapalme","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02057982777925156,"gpt":0.3186962931539052,"spread":0.2981164653746536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006471429,0.001679004,0.0007066965,0.001026657,0.0005206058,0.002422267,0.002064644,0.001142833,0.06277812],"category_scores_gemma":[0.001830555,0.001233511,0.001007337,0.000858536,0.0008153131,0.004022268,0.002147456,0.002423383,0.02797645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006160837,"about_ca_system_score_gemma":0.0006727268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152427,"about_ca_topic_score_gemma":0.001750823,"domain_scores_codex":[0.9993012,0.00007612308,0.00006163658,0.0001330996,0.0003605235,0.00006745956],"domain_scores_gemma":[0.9995008,0.0002232493,0.00002576126,0.00009847041,0.0001032931,0.00004847754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007889496,0.0001310116,0.000552597,0.001601332,0.00007559387,0.0005342818,0.001249016,0.002117852,0.05594105,0.09776124,0.2727818,0.5664653],"study_design_scores_gemma":[0.0001903578,0.0001078823,0.0007157591,0.0003215637,0.00009489436,0.00119346,0.000175634,0.02549858,0.09034302,0.04079002,0.8404226,0.0001463046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005481482,0.0007958881,0.6873216,0.0003421411,0.000393387,0.0001912337,0.002611897,0.24183,0.06103237],"genre_scores_gemma":[0.1031412,0.001994004,0.4107045,0.0009696549,0.0003763534,0.0007423453,0.01328477,0.1866323,0.2821551],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06277812,"threshold_uncertainty_score":0.2100137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W119860108","doi":"10.1007/1-4020-3051-7_8","title":"Generating Tailored Worked-Out Problem Solutions to Help Students Learn from Examples","year":2005,"lang":"en","type":"book-chapter","venue":"Text, speech and language technology","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics education; Computer science; Psychology","authors":[{"name":"Giuseppe Carenini","is_ca":true},{"name":"Cristina Conati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0336445800786468,"gpt":0.3271503928621065,"spread":0.2935058127834597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473298,0.001472099,0.0005969984,0.0007075617,0.0002773886,0.001595329,0.002255441,0.001255408,0.01994048],"category_scores_gemma":[0.006549449,0.0004811933,0.001011262,0.0005263958,0.0003384213,0.001840625,0.001548826,0.001136937,0.005837108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751472,"about_ca_system_score_gemma":0.000556893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146563,"about_ca_topic_score_gemma":0.001002484,"domain_scores_codex":[0.9995286,0.0001316555,0.00003184637,0.0001662057,0.0001166054,0.00002508345],"domain_scores_gemma":[0.9983542,0.001041069,0.00008900358,0.0002172313,0.0002401844,0.00005832684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002010029,0.0008221391,0.001998944,0.0006910909,0.00006642706,0.0004199979,0.002693424,0.03401487,0.02420741,0.02951379,0.02526698,0.8801039],"study_design_scores_gemma":[0.0003783153,0.0006981502,0.002353737,0.0007375891,0.0002859004,0.001407745,0.002891107,0.615714,0.09544378,0.1249261,0.1550086,0.0001551158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06110608,0.0001449552,0.8945292,0.000501641,0.0001222553,0.0008740394,0.0005259425,0.005655169,0.0365408],"genre_scores_gemma":[0.1234921,0.0002427265,0.8443948,0.0001317938,0.00002484313,0.0006185634,0.001346556,0.0005574501,0.02919128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01994048,"threshold_uncertainty_score":0.06670749,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}