{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":618,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":618,"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":"3ade09b83c66","filters":{"topic":"AI-based Problem Solving and Planning"}},"results":[{"id":"W2141312052","doi":"10.1007/978-3-031-23161-2_300700","title":"Knowledge Representation and Reasoning","year":2024,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computer Graphics and Games","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":826,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Representation (politics); Computer science; Knowledge representation and reasoning; Cognitive science; Artificial intelligence; Psychology; Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01383945672128755,"gpt":0.2470559699430973,"spread":0.2332165132218097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237759,0.001119595,0.0009927838,0.001882145,0.00100555,0.009707235,0.002790904,0.001652345,0.03566403],"category_scores_gemma":[0.003549047,0.0007421231,0.001243108,0.002679638,0.002851964,0.008759835,0.002819273,0.002127592,0.01678617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688254,"about_ca_system_score_gemma":0.002307347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00463536,"about_ca_topic_score_gemma":0.003313522,"domain_scores_codex":[0.9988423,0.0002892366,0.0001179272,0.0002930191,0.0003738191,0.00008383033],"domain_scores_gemma":[0.9989678,0.0003863777,0.00003574656,0.0003687359,0.0001879986,0.00005336746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002990147,0.00005974522,0.00020052,0.0004599743,0.000043043,0.0001115042,0.0008010898,0.002497418,0.0008213951,0.6555632,0.05120515,0.2882071],"study_design_scores_gemma":[0.000008038481,0.000009416704,0.0001488825,0.0002358126,0.00002325231,0.0001389292,0.0001922324,0.004463747,0.0006770545,0.7352986,0.2587914,0.00001266948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002346211,0.01791755,0.5589263,0.004491372,0.0005676983,0.0002267303,0.001272218,0.001972103,0.4122798],"genre_scores_gemma":[0.1305804,0.02650893,0.5442395,0.002489477,0.0007838632,0.0007770681,0.01050179,0.001036579,0.2830823],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03566403,"threshold_uncertainty_score":0.1193081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141088850","doi":"10.1016/s0004-3702(99)00071-5","title":"Using temporal logics to express search control knowledge for planning","year":2000,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":556,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; University of Toronto","funders":"","keywords":"Computer science; Forward chaining; Domain (mathematical analysis); Domain knowledge; Planner; Automated planning and scheduling; Plan (archaeology); Control (management); Artificial intelligence; Range (aeronautics); Modularity (biology); Theoretical computer science; Machine learning; Expert system; Mathematics; Engineering","authors":[{"name":"Fahiem Bacchus","is_ca":true},{"name":"Froduald Kabanza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2188542455742783,"gpt":0.3932797970025497,"spread":0.1744255514282714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003352202,0.0007785343,0.0005698305,0.001618452,0.0009200076,0.004401463,0.002303273,0.001242484,0.003312634],"category_scores_gemma":[0.009535952,0.0007959969,0.00184587,0.001718055,0.003763474,0.007370499,0.002063988,0.002840082,0.0004894392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227316,"about_ca_system_score_gemma":0.002090607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009025682,"about_ca_topic_score_gemma":0.01222583,"domain_scores_codex":[0.9979801,0.0006927116,0.0002599076,0.0003239826,0.0005327127,0.0002105675],"domain_scores_gemma":[0.9951527,0.003284555,0.0004318857,0.0006263027,0.0003439275,0.0001605893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002754792,0.000108343,0.0005083798,0.0003184259,0.0001181027,0.0002601617,0.0006232668,0.1435221,0.003312277,0.775713,0.002482192,0.07275834],"study_design_scores_gemma":[0.00006386872,0.00003323136,0.00007964882,0.00008438345,0.00008725948,0.0000652163,0.0001003752,0.2876097,0.003867796,0.7011411,0.006831765,0.00003557556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00763925,0.000515807,0.9840681,0.0007340331,0.0000836151,0.00006736691,0.0002644046,0.0006273675,0.006000057],"genre_scores_gemma":[0.3841482,0.00115954,0.6089097,0.0004498697,0.0001631672,0.0002835902,0.0008239993,0.0001789231,0.003883061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009025682,"threshold_uncertainty_score":0.0179463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1550696814","doi":"10.48550/arxiv.1304.3848","title":"Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995)","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":554,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Eleventh; Computer science; Artificial intelligence; Operations research; Political science; Engineering; Physics","authors":[{"name":"Philippe Besnard","is_ca":false},{"name":"Steve Hanks","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1187578523081883,"gpt":0.2035867998666089,"spread":0.08482894755842064,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008308487,0.001571735,0.002433649,0.002575849,0.001832351,0.01048849,0.002388176,0.002570549,0.06169564],"category_scores_gemma":[0.01576957,0.0005494329,0.001129051,0.002660252,0.002732847,0.006197623,0.004792323,0.00594441,0.0173908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003857752,"about_ca_system_score_gemma":0.004012093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008131421,"about_ca_topic_score_gemma":0.0106522,"domain_scores_codex":[0.9954808,0.001509688,0.0002833435,0.0004618412,0.001929312,0.0003349315],"domain_scores_gemma":[0.9919919,0.002589636,0.0002769514,0.001042092,0.003008575,0.00109087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002754247,0.0001275998,0.0007811746,0.0003452779,0.0001170393,0.0001351941,0.0002891008,0.00157136,0.0003540226,0.04892639,0.7203162,0.2267612],"study_design_scores_gemma":[0.00003923049,0.00004511283,0.001009652,0.0004198879,0.0000765661,0.0001571027,0.0002422591,0.004235651,0.0005847468,0.05566511,0.9374799,0.00004486826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007161474,0.2012696,0.1893137,0.08954763,0.1706902,0.0005151238,0.003984792,0.002251756,0.3352658],"genre_scores_gemma":[0.1267634,0.1215762,0.1038319,0.008906978,0.06558706,0.0008804866,0.009184659,0.001793646,0.5614758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06169564,"threshold_uncertainty_score":0.2063925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883445328","doi":"10.1007/s10462-018-9646-y","title":"40 years of cognitive architectures: core cognitive abilities and practical applications","year":2018,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":516,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Air Force Office of Scientific Research; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Cognition; Cognitive architecture; Variety (cybernetics); Set (abstract data type); Cognitive science; Perception; Field (mathematics); Selection (genetic algorithm); Data science; Rational analysis; Artificial intelligence; Psychology; Neuroscience","authors":[{"name":"Iuliia Kotseruba","is_ca":true},{"name":"John K. Tsotsos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.107634902286158,"gpt":0.3884198155905721,"spread":0.2807849133044141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003102739,0.001427463,0.001075038,0.005226342,0.001040167,0.003943071,0.001647466,0.002095449,0.006361276],"category_scores_gemma":[0.006390621,0.0007137229,0.0008174411,0.005385186,0.004648149,0.008340194,0.002525739,0.003037064,0.001573651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003616647,"about_ca_system_score_gemma":0.003137913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927462,"about_ca_topic_score_gemma":0.00303533,"domain_scores_codex":[0.9985728,0.0004357217,0.0001477418,0.0002966751,0.0004460868,0.0001009966],"domain_scores_gemma":[0.9951836,0.003377654,0.0002120438,0.0003634688,0.0006700319,0.000193124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007092144,0.00006499508,0.001228524,0.004339494,0.00008870821,0.0001172567,0.001612546,0.003292379,0.0007461263,0.3832398,0.0167382,0.588461],"study_design_scores_gemma":[0.00001049167,0.00008988721,0.002486518,0.003933823,0.00004971002,0.000510091,0.0008235424,0.002058908,0.0006172372,0.302117,0.687238,0.00006493222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004576968,0.9285637,0.02059332,0.00797759,0.0006329545,0.00003233218,0.0001215313,0.000133482,0.03736822],"genre_scores_gemma":[0.06068596,0.9081975,0.01876916,0.002274355,0.001527604,0.0001195653,0.0002452619,0.0001036924,0.008076908],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006361276,"threshold_uncertainty_score":0.02624071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977070092","doi":"10.1016/s0004-3702(02)00378-8","title":"On the undecidability of probabilistic planning and related stochastic optimization problems","year":2003,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":241,"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; University of Alberta","funders":"","keywords":"Undecidable problem; Probabilistic logic; Markov decision process; Computer science; Partially observable Markov decision process; Markov chain; Class (philosophy); Mathematical optimization; State (computer science); Decision problem; Mathematics; Markov process; Artificial intelligence; Theoretical computer science; Decidability; Markov model; Algorithm; Machine learning","authors":[{"name":"Omid Madani","is_ca":true},{"name":"Steve Hanks","is_ca":false},{"name":"Anne Condon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05360566751266353,"gpt":0.2694234057961437,"spread":0.2158177382834802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0138422,0.001494079,0.002259814,0.002524129,0.003748929,0.005633299,0.004581667,0.00416935,0.005897311],"category_scores_gemma":[0.07980794,0.001594662,0.004180094,0.002531146,0.01111162,0.01428337,0.006013509,0.01342544,0.0004412819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004525976,"about_ca_system_score_gemma":0.005724023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166731,"about_ca_topic_score_gemma":0.009369778,"domain_scores_codex":[0.9893017,0.004871311,0.0007154458,0.001400809,0.002557157,0.001153536],"domain_scores_gemma":[0.8401388,0.1450468,0.004054973,0.004930226,0.003912576,0.00191666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000224896,0.0001863782,0.001133587,0.0002856448,0.0001071765,0.0001968979,0.0004788497,0.09546062,0.0003835755,0.8791046,0.005766982,0.01667092],"study_design_scores_gemma":[0.00004919009,0.00001707129,0.0001098304,0.00002921579,0.00002260842,0.00002804724,0.00005040224,0.09281543,0.0001714391,0.9059169,0.0007764639,0.00001344547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244371,0.00359648,0.7821863,0.03219043,0.0007280434,0.0003470806,0.001255591,0.001094871,0.05416416],"genre_scores_gemma":[0.8178386,0.003188196,0.1608537,0.004046239,0.001532539,0.000677239,0.001694632,0.0004529408,0.009715996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0138422,"threshold_uncertainty_score":0.07320547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1576718874","doi":"10.48550/arxiv.1304.3842","title":"Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":205,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial intelligence; Operations research; Engineering; Computer science; Library science","authors":[{"name":"Craig Boutilier","is_ca":true},{"name":"Moisés Goldszmidt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1024295809606266,"gpt":0.1996275815539112,"spread":0.09719800059328461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008340474,0.001520291,0.00219494,0.002695687,0.001584313,0.01121697,0.002066395,0.002451484,0.0627002],"category_scores_gemma":[0.01580318,0.0005461742,0.001119994,0.002661728,0.002521059,0.00626215,0.005145034,0.005809474,0.01707545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003184361,"about_ca_system_score_gemma":0.003875597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675618,"about_ca_topic_score_gemma":0.005259108,"domain_scores_codex":[0.9956747,0.001430441,0.0002795822,0.0004666245,0.00184203,0.0003067478],"domain_scores_gemma":[0.9918893,0.002425893,0.0003333349,0.00121352,0.00292907,0.001208897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000288211,0.0001375195,0.0008074467,0.0003762875,0.0001365716,0.0001398005,0.0002542279,0.001814831,0.0004951345,0.05798489,0.6812969,0.2562682],"study_design_scores_gemma":[0.00003718923,0.00004752883,0.0008408943,0.0004097523,0.0000643535,0.0001349317,0.0001727983,0.004821478,0.0005469593,0.0587817,0.9341049,0.00003743911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00752542,0.1766662,0.205853,0.08647727,0.2008364,0.0005392656,0.004014415,0.002329223,0.3157588],"genre_scores_gemma":[0.1248516,0.1196856,0.110345,0.01008748,0.08485486,0.0009392331,0.01077692,0.002114334,0.5363448],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0627002,"threshold_uncertainty_score":0.2097531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160927913","doi":"10.1613/jair.1696","title":"Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators","year":2005,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":195,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macro; Computer science; Artificial intelligence; Software engineering; Programming language","authors":[{"name":"Adi Botea","is_ca":true},{"name":"Markus Enzenberger","is_ca":true},{"name":"Michael Mueller","is_ca":true},{"name":"Jonathan Schaeffer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1124290222437872,"gpt":0.4091690585784714,"spread":0.2967400363346842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001504355,0.001272349,0.0006737557,0.001064122,0.000459096,0.001016966,0.001637555,0.0009715048,0.006941041],"category_scores_gemma":[0.00625492,0.0004553867,0.0007004981,0.000782357,0.0008984653,0.002104023,0.00177572,0.001109788,0.001255636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221842,"about_ca_system_score_gemma":0.002589931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009403066,"about_ca_topic_score_gemma":0.01429329,"domain_scores_codex":[0.9991925,0.0002164966,0.00006057345,0.0001987749,0.0002654494,0.00006610496],"domain_scores_gemma":[0.9977308,0.001499552,0.0001385333,0.0003416844,0.0002160018,0.0000734682],"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":[0.0004074932,0.0002420496,0.002310212,0.0004687032,0.00005566929,0.0001472835,0.000268393,0.190843,0.01027992,0.01225782,0.01977813,0.7629414],"study_design_scores_gemma":[0.0001002251,0.000172121,0.0005459768,0.00003999317,0.00003225009,0.00009628777,0.00006034604,0.9649232,0.009903042,0.01175788,0.01233809,0.00003067693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03971592,0.0005408215,0.91313,0.0004104117,0.00009114315,0.0003631942,0.0009935062,0.03603754,0.008717348],"genre_scores_gemma":[0.1455543,0.000212855,0.8493702,0.0001841295,0.0000282003,0.0002416688,0.001247275,0.0009696744,0.002191717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009403066,"threshold_uncertainty_score":0.02322012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155992093","doi":"10.1613/jair.4171","title":"Enhanced Partial Expansion A*","year":2014,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Heuristics; Computer science; A priori and a posteriori; Heuristic; Benchmark (surveying); Node (physics); Domain (mathematical analysis); Mathematical optimization; Theoretical computer science; Mathematics; Artificial intelligence","authors":[{"name":"Mitchell G. Goldenberg","is_ca":true},{"name":"Ariel Felner","is_ca":true},{"name":"Roni Stern","is_ca":true},{"name":"Gil Sharon","is_ca":true},{"name":"Nathan Sturtevant","is_ca":true},{"name":"Robert C. Holte","is_ca":true},{"name":"Jonathan Schaeffer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1483667407816816,"gpt":0.4088555009411715,"spread":0.2604887601594899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000822834,0.0008333661,0.0007087191,0.0008462842,0.0006544658,0.0008090406,0.001637381,0.0009109809,0.006483123],"category_scores_gemma":[0.003467628,0.0003925131,0.001046973,0.001225214,0.0007298368,0.001914013,0.001950395,0.001382782,0.0009120587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005221848,"about_ca_system_score_gemma":0.001672512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276213,"about_ca_topic_score_gemma":0.003620641,"domain_scores_codex":[0.99938,0.0001811577,0.00004587286,0.0001362263,0.0001568127,0.00009995799],"domain_scores_gemma":[0.998421,0.0009060656,0.0001122757,0.0002484454,0.0002435938,0.00006868836],"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":[0.0003639775,0.0004379787,0.00256244,0.0005518775,0.0001188143,0.0004611753,0.0003131532,0.2500034,0.01728278,0.05183297,0.01559506,0.6604764],"study_design_scores_gemma":[0.0001087555,0.0003475815,0.0006598943,0.00006143635,0.00007061267,0.000524541,0.0001206312,0.9154831,0.008858732,0.05267484,0.02106196,0.00002794884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06052338,0.0007247113,0.9160752,0.0007288996,0.0001661221,0.0004643928,0.0004047915,0.002286022,0.01862644],"genre_scores_gemma":[0.2489925,0.0003266895,0.7410996,0.0005447757,0.00006862775,0.0004777286,0.0007486296,0.0002605645,0.007480862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006483123,"threshold_uncertainty_score":0.02168816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W204258288","doi":"","title":"Extending the knowledge-based approach to planning with incomplete information and sensing","year":2004,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Representation (politics); Knowledge representation and reasoning; Range (aeronautics); Knowledge-based systems; Complete information; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Ronald P. A. Petrick","is_ca":true},{"name":"Fahiem Bacchus","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02122293856793146,"gpt":0.2360273122433418,"spread":0.2148043736754103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004172703,0.001107857,0.0009807523,0.002136178,0.001208069,0.002996562,0.003208543,0.001680036,0.003616328],"category_scores_gemma":[0.009679217,0.0008799541,0.00243844,0.00242711,0.00585312,0.009503695,0.004576824,0.004106387,0.0006406805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981689,"about_ca_system_score_gemma":0.003285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006390161,"about_ca_topic_score_gemma":0.008030346,"domain_scores_codex":[0.9967837,0.001283116,0.0002273636,0.0005234203,0.001009077,0.0001732815],"domain_scores_gemma":[0.9943702,0.00382584,0.0003375369,0.0008165587,0.0004946658,0.0001552936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007135346,0.00007033061,0.0003867343,0.0004576904,0.0001295485,0.000270779,0.001206692,0.09546372,0.001283864,0.7655986,0.001738167,0.1333225],"study_design_scores_gemma":[0.00002048558,0.00003679147,0.0001125211,0.0000876572,0.0000498357,0.0001081685,0.0001436475,0.1577284,0.001331992,0.8281666,0.01217801,0.0000357915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001590791,0.0004574841,0.9916763,0.0008385841,0.00003765184,0.00004277211,0.00003874271,0.0001089727,0.005208623],"genre_scores_gemma":[0.1304671,0.001735462,0.8643488,0.0003878118,0.0001202641,0.0001929956,0.0001718297,0.00007671564,0.002498996],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006390161,"threshold_uncertainty_score":0.02206761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1550791699","doi":"10.1007/978-94-010-0874-7_5","title":"The Berkeley UNIX Consultant Project","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":123,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"RTDS Technologies (Canada)","funders":"Office of Naval Research; Space and Naval Warfare Systems Command; Advanced Research Projects Agency; National Science Foundation","keywords":"Computer science; Unix; Knowledge representation and reasoning; Programming language; Component (thermodynamics); Artificial intelligence; Knowledge base; Human–computer interaction; Natural language; Natural language processing","authors":[{"name":"Robert Wilensky","is_ca":false},{"name":"David N. Chin","is_ca":false},{"name":"Marc Luria","is_ca":true},{"name":"James Martin","is_ca":false},{"name":"James Mayfield","is_ca":false},{"name":"Dekai Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01969993678959101,"gpt":0.2282638383409312,"spread":0.2085639015513402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008938079,0.0007358438,0.000433447,0.001858314,0.002255025,0.003595182,0.0007756985,0.001343317,0.2985966],"category_scores_gemma":[0.001858968,0.0005598576,0.0002044205,0.003009618,0.0006413803,0.002982853,0.001449316,0.001655213,0.1182967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629879,"about_ca_system_score_gemma":0.002800523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133155,"about_ca_topic_score_gemma":0.02715103,"domain_scores_codex":[0.9994293,0.0001164395,0.00001507044,0.00009810148,0.0002474191,0.00009362623],"domain_scores_gemma":[0.9992378,0.0001573523,0.00003149306,0.0001166416,0.0002477225,0.0002089782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001882426,0.0000161381,0.00006497333,0.00003061568,8.509451e-7,0.00001834113,0.00008683156,0.0000860471,0.00008998124,0.045628,0.839409,0.1145504],"study_design_scores_gemma":[0.000004893941,0.000005224529,0.0001059808,0.00002533899,0.000001146858,0.00002312511,0.00005438828,0.0001123177,0.00008443076,0.003709273,0.9958714,0.000002516937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001047247,0.003962674,0.002928091,0.005085,0.001034565,0.00002740671,0.0003757344,0.001176959,0.9843622],"genre_scores_gemma":[0.002874739,0.00114755,0.0009230648,0.0002596774,0.00007013686,0.00001351327,0.0001907125,0.0002002292,0.9943204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2985966,"threshold_uncertainty_score":0.9989051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167994996","doi":"","title":"Partial pathfinding using map abstraction and refinement","year":2005,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Abstraction; Pathfinding; Computer science; Heuristic; Domain (mathematical analysis); Process (computing); Path (computing); Function (biology); Motion planning; Algorithm; Theoretical computer science; Mathematical optimization; Artificial intelligence; Programming language; Mathematics; Shortest path problem; Robot","authors":[{"name":"Nathan Sturtevant","is_ca":true},{"name":"Michael Buro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1908300048191129,"gpt":0.3618077080581525,"spread":0.1709777032390396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009865866,0.0007847912,0.0007928647,0.0008367905,0.0005760907,0.0008334276,0.001524751,0.000561441,0.001827559],"category_scores_gemma":[0.003225696,0.000605335,0.001301379,0.0008483863,0.001435981,0.002025618,0.003546692,0.001238991,0.0004248129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007022657,"about_ca_system_score_gemma":0.001520821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009550802,"about_ca_topic_score_gemma":0.01027715,"domain_scores_codex":[0.9992983,0.0001795102,0.00004632354,0.0001524736,0.0002258888,0.00009743394],"domain_scores_gemma":[0.9984676,0.0005293519,0.0001221394,0.0006472375,0.0001426105,0.00009099129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002106052,0.00009278572,0.001757997,0.0002054573,0.0001157832,0.0002468961,0.0005952156,0.7042098,0.01469163,0.08447876,0.00134624,0.1920489],"study_design_scores_gemma":[0.00003539828,0.00008834826,0.0003322719,0.0000173046,0.00003063875,0.00008834607,0.00006960016,0.942738,0.004321714,0.04852608,0.003731825,0.0000204868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02893197,0.0001206479,0.9659493,0.00008166153,0.00001262979,0.00007806828,0.00006148044,0.001464151,0.003300121],"genre_scores_gemma":[0.4522692,0.0002126614,0.5446358,0.00004570373,0.00001052945,0.000158841,0.0002521973,0.0001517499,0.002263324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009550802,"threshold_uncertainty_score":0.01899046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1601278281","doi":"10.48550/arxiv.1301.4608","title":"Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (2002)","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":119,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Engineering; Computer science","authors":[{"name":"Adnan Darwiche","is_ca":false},{"name":"Nir Friedman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1056014890786719,"gpt":0.1983157434440623,"spread":0.09271425436539042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007437731,0.001402171,0.002219528,0.002623137,0.001770887,0.0112067,0.002073945,0.002446288,0.06278197],"category_scores_gemma":[0.0141851,0.0005030015,0.001119176,0.002696407,0.002572584,0.005818274,0.004858436,0.005494038,0.01717029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003411653,"about_ca_system_score_gemma":0.003989477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005920194,"about_ca_topic_score_gemma":0.00744612,"domain_scores_codex":[0.9955311,0.0014311,0.000272085,0.0004728589,0.001977088,0.0003157886],"domain_scores_gemma":[0.9921503,0.002258257,0.0002856655,0.001025009,0.003111171,0.001169569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002355392,0.0001254164,0.0006905276,0.0003260518,0.000106777,0.0001458066,0.0002956739,0.001306439,0.000411462,0.05639604,0.705249,0.2347113],"study_design_scores_gemma":[0.0000244312,0.00003434231,0.0006408289,0.0003100967,0.00004675482,0.0001165229,0.0001638139,0.002559428,0.0004090459,0.04131391,0.9543508,0.00002998733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006193359,0.1821557,0.164982,0.08563344,0.1750506,0.0004318298,0.003183957,0.001988759,0.3803803],"genre_scores_gemma":[0.1056247,0.1128648,0.08799724,0.008429186,0.08260813,0.0007203198,0.006921137,0.001887206,0.5929472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06278197,"threshold_uncertainty_score":0.2100266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1621585639","doi":"10.1613/jair.740","title":"Partial-Order Planning with Concurrent Interacting Actions","year":2001,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Planner; Computer science; Order (exchange); Plan (archaeology); Representation (politics); Task (project management); Action (physics); Simple (philosophy); Control (management); Distributed computing; Artificial intelligence; Engineering; Systems engineering; Economics","authors":[{"name":"Craig Boutilier","is_ca":true},{"name":"Ronen I. Brafman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.328713626214809,"gpt":0.4722555756749504,"spread":0.1435419494601414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181086,0.00095004,0.0006547699,0.000594112,0.00088391,0.001496495,0.00132505,0.0008691508,0.003238403],"category_scores_gemma":[0.004596287,0.0007223286,0.001398072,0.0008318503,0.002789026,0.002300263,0.002425534,0.001504678,0.0005585821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154349,"about_ca_system_score_gemma":0.002434003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006036497,"about_ca_topic_score_gemma":0.0100824,"domain_scores_codex":[0.9984617,0.0005271708,0.0001311346,0.0002408093,0.0005206628,0.0001184699],"domain_scores_gemma":[0.9978316,0.001404002,0.0001602457,0.000288834,0.0002085443,0.000106828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001390812,0.00008486844,0.0005241311,0.0003004492,0.00008618677,0.0006712964,0.000617283,0.5553519,0.003473209,0.3694406,0.002351902,0.06695913],"study_design_scores_gemma":[0.00007879989,0.00006631143,0.00010509,0.00003664776,0.00004436118,0.0001301682,0.00009812698,0.6724364,0.003541749,0.3115572,0.01187444,0.00003067103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007944752,0.0002024834,0.9847835,0.0002463556,0.00003293349,0.000122976,0.00009413389,0.0006831462,0.005889746],"genre_scores_gemma":[0.2155594,0.0005269349,0.7785162,0.0001281501,0.00003468254,0.0004380724,0.0004350371,0.0001237549,0.004237739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006036497,"threshold_uncertainty_score":0.01200271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W269605412","doi":"10.1609/icaps.v22i1.13520","title":"Improved Non-Deterministic Planning by Exploiting State Relevance","year":2012,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relevance (law); Planner; Probabilistic logic; State (computer science); Computer science; Observable; Work (physics); Theoretical computer science; Artificial intelligence; Mathematical optimization; Algorithm; Mathematics; Engineering; Political science; Law","authors":[{"name":"Christian Muise","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true},{"name":"J. Christopher Beck","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03166301535650045,"gpt":0.2840752904139964,"spread":0.252412275057496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001855936,0.0007442396,0.0008835496,0.0007503147,0.0005419132,0.001034163,0.001570881,0.0009190558,0.002443073],"category_scores_gemma":[0.009938689,0.0006617996,0.00101991,0.0009318219,0.001272712,0.003295652,0.002273164,0.001860601,0.000473524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128635,"about_ca_system_score_gemma":0.002078321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382154,"about_ca_topic_score_gemma":0.007597966,"domain_scores_codex":[0.9981536,0.0006408492,0.00010938,0.0003666139,0.0005571857,0.0001723451],"domain_scores_gemma":[0.9948534,0.003577173,0.0003408346,0.0008356371,0.0002853883,0.0001075337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001661872,0.0001121233,0.0006001446,0.0001602971,0.00004141318,0.0001463254,0.0001865358,0.8662734,0.002833439,0.04070538,0.001324018,0.08745073],"study_design_scores_gemma":[0.00001732663,0.00004432094,0.0001200403,0.00001129913,0.00001252141,0.00002011515,0.00001196449,0.9600626,0.00144409,0.03716441,0.001078413,0.00001298386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02052064,0.000316249,0.9745594,0.0002672813,0.0000467357,0.00008130843,0.00009738289,0.001084545,0.003026398],"genre_scores_gemma":[0.5839281,0.0003673375,0.412396,0.0001661691,0.00005659645,0.0002026528,0.000378553,0.0002490403,0.002255659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004382154,"threshold_uncertainty_score":0.009815276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971439026","doi":"10.1016/s0004-3702(01)00109-6","title":"Sokoban: Enhancing general single-agent search methods using domain knowledge","year":2001,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Exploit; Computer science; Domain (mathematical analysis); Search algorithm; Domain knowledge; Artificial intelligence; Machine learning; Genetic programming; Algorithm; Mathematics","authors":[{"name":"Andreas Junghanns","is_ca":true},{"name":"Jonathan Schaeffer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1859338231043957,"gpt":0.4076501574258188,"spread":0.2217163343214231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007273812,0.0009956692,0.001012651,0.0006323143,0.0005023836,0.0009889591,0.001307052,0.001057239,0.005451811],"category_scores_gemma":[0.002550271,0.0003631107,0.0005219019,0.0006611103,0.0005567144,0.0019468,0.001719592,0.001120804,0.001424263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003007548,"about_ca_system_score_gemma":0.0006676335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009497661,"about_ca_topic_score_gemma":0.001909057,"domain_scores_codex":[0.9995802,0.0001628414,0.00002190812,0.00007042763,0.0001333539,0.00003120529],"domain_scores_gemma":[0.9992511,0.0003553912,0.00005490057,0.0001368171,0.0001559083,0.00004582292],"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":[0.001236998,0.0006907841,0.001336861,0.000746477,0.0002102031,0.0002167429,0.000412346,0.3912526,0.03333636,0.03201251,0.009668402,0.5288797],"study_design_scores_gemma":[0.0001217228,0.0001256024,0.0002513134,0.00002600821,0.00005576756,0.00009741602,0.00006214513,0.9631472,0.01092804,0.01786752,0.007298107,0.00001912806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04773648,0.0008259834,0.9320183,0.000376267,0.0002384854,0.0001361708,0.0001276557,0.0043274,0.01421319],"genre_scores_gemma":[0.4157856,0.0005888697,0.5712556,0.000318721,0.00005524103,0.0002684834,0.0003777582,0.0007807522,0.01056893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005451811,"threshold_uncertainty_score":0.01823807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143380318","doi":"10.1061/(asce)0887-3801(2002)16:2(104)","title":"Case-Based Reasoning System for Modeling Infrastructure Deterioration","year":2002,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Reuse; Computer science; Case-based reasoning; Representation (politics); Component (thermodynamics); Decomposition; Knowledge representation and reasoning; Extensibility; Adaptation (eye); Data modeling; Software engineering; Data mining; Artificial intelligence; Engineering","authors":[{"name":"George Morcous","is_ca":true},{"name":"Hugues Rivard","is_ca":true},{"name":"Adel Hanna","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01542376768750179,"gpt":0.2112121119190748,"spread":0.195788344231573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002352258,0.0009562952,0.0007602256,0.002420034,0.001180331,0.002673461,0.002557219,0.001893574,0.01035656],"category_scores_gemma":[0.00657659,0.0005474464,0.001273698,0.001779231,0.0006912575,0.003653332,0.001389343,0.001236972,0.002260977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854097,"about_ca_system_score_gemma":0.00216399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116598,"about_ca_topic_score_gemma":0.01162753,"domain_scores_codex":[0.9986944,0.0003549126,0.0002352835,0.0002319387,0.000420082,0.00006338981],"domain_scores_gemma":[0.9983585,0.0009094939,0.0001447296,0.0002278365,0.0002881092,0.00007119482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004583175,0.0005493276,0.003551605,0.0006789034,0.0001688595,0.003489485,0.001188509,0.3962123,0.01014941,0.2072755,0.03821282,0.3380649],"study_design_scores_gemma":[0.0001457303,0.00006655457,0.0005087268,0.0001197972,0.0001239013,0.0007708838,0.0001249738,0.8947448,0.004090026,0.04206856,0.05718069,0.00005529209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01009229,0.0003447333,0.9663653,0.0006055565,0.00007688071,0.0006051974,0.001625068,0.00794698,0.01233792],"genre_scores_gemma":[0.1119715,0.0005121854,0.8778394,0.000129231,0.00003869537,0.0005849415,0.003594282,0.0001268576,0.005202891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01116598,"threshold_uncertainty_score":0.03464609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387937021","doi":"10.1007/s10514-023-10136-2","title":"Large language models for chemistry robotics","year":2023,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Vector Institute; Artificial Intelligence in Medicine (Canada); University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robotics; Executable; Robot; Task (project management); Artificial intelligence; Natural language; Workspace; Human–computer interaction; Software engineering; Programming language; Systems engineering","authors":[{"name":"Naruki Yoshikawa","is_ca":true},{"name":"Marta Skreta","is_ca":true},{"name":"Kourosh Darvish","is_ca":true},{"name":"Sebastian Arellano-Rubach","is_ca":true},{"name":"Zhi Ji","is_ca":true},{"name":"Lasse Bjørn Kristensen","is_ca":true},{"name":"Andrew Zou Li","is_ca":true},{"name":"Yuchi Zhao","is_ca":true},{"name":"Haoping Xu","is_ca":true},{"name":"Artur Kuramshin","is_ca":true},{"name":"Alán Aspuru‐Guzik","is_ca":true},{"name":"Florian Shkurti","is_ca":true},{"name":"Animesh Garg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02230099062276004,"gpt":0.2621864641874539,"spread":0.2398854735646939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002580478,0.001541309,0.0007669909,0.001630474,0.001093541,0.004006273,0.002531789,0.001856754,0.01519743],"category_scores_gemma":[0.008185865,0.001177898,0.003787625,0.0009475351,0.002693411,0.004592573,0.003941488,0.004096646,0.004583986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709559,"about_ca_system_score_gemma":0.002870782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00703205,"about_ca_topic_score_gemma":0.008395672,"domain_scores_codex":[0.9969403,0.001251286,0.0002530579,0.000467667,0.0009002559,0.0001875335],"domain_scores_gemma":[0.9942887,0.003672239,0.0003096959,0.0008721934,0.0007276351,0.000129458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001216079,0.0001204996,0.0005883683,0.0005982307,0.00006918165,0.0003114085,0.0006166305,0.1510522,0.003982181,0.7760684,0.01449812,0.05197329],"study_design_scores_gemma":[0.00006195836,0.00003890734,0.0001028766,0.0001424925,0.00003585345,0.00009950234,0.000100182,0.4425818,0.003328916,0.4752026,0.07826567,0.0000391956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002926051,0.000587293,0.9790244,0.001284905,0.0001434898,0.0001797167,0.00111438,0.006314928,0.008424828],"genre_scores_gemma":[0.1389272,0.0009695067,0.8432248,0.0007162804,0.0002123399,0.0008679475,0.003779467,0.002754969,0.008547516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01519743,"threshold_uncertainty_score":0.05084044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1848921964","doi":"","title":"Planning with first-order temporally extended goals using heuristic search","year":2006,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Nondeterministic algorithm; Heuristic; Parameterized complexity; Benchmark (surveying); Correctness; Heuristics; Domain (mathematical analysis); Plan (archaeology); Representation (politics); Automaton; Exploit; Mathematical optimization; Theoretical computer science; Artificial intelligence; Algorithm; Mathematics","authors":[{"name":"Jorge A. Baier","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02488262853350111,"gpt":0.2607719619028757,"spread":0.2358893333693745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137289,0.0008212986,0.0004795625,0.0006232549,0.0005024018,0.00127848,0.001102369,0.0007580099,0.002766551],"category_scores_gemma":[0.003416623,0.0005264347,0.0009337261,0.0007439531,0.001607845,0.001883545,0.001217414,0.001128385,0.0003833835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189478,"about_ca_system_score_gemma":0.00169899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132431,"about_ca_topic_score_gemma":0.006573507,"domain_scores_codex":[0.9990078,0.0005000571,0.00006255911,0.0001297889,0.0002168553,0.00008305888],"domain_scores_gemma":[0.9984044,0.001139433,0.0001005867,0.0002254954,0.00008883227,0.00004125777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002580513,0.0001384821,0.0008618621,0.0003489193,0.000107137,0.0003042271,0.0004213182,0.7110876,0.005705268,0.1482648,0.002779482,0.1297228],"study_design_scores_gemma":[0.00007093172,0.0000567508,0.0001211876,0.00003705538,0.0000332333,0.00007233535,0.00007224525,0.9187535,0.00432825,0.07265157,0.003785682,0.00001725246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01865871,0.0002176108,0.9747114,0.0002077519,0.00001899843,0.0001162456,0.000110093,0.001534559,0.004424679],"genre_scores_gemma":[0.2332971,0.0003233382,0.7641761,0.00009309369,0.00001872876,0.0002659592,0.0003289996,0.0001218676,0.001374824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004132431,"threshold_uncertainty_score":0.009255052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078022838","doi":"10.1080/08839510701492579","title":"A KEYHOLE PLAN RECOGNITION MODEL FOR ALZHEIMER'S PATIENTS: FIRST RESULTS","year":2007,"lang":"en","type":"article","venue":"Applied Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi; Université de Sherbrooke","funders":"","keywords":"Computer science; Plan (archaeology); Keyhole; Artificial intelligence; Cognitive impairment; Set (abstract data type); Cognition; Cognitive model; Machine learning; Cognitive psychology; Psychology; Programming language; Psychiatry","authors":[{"name":"Bruno Bouchard","is_ca":true},{"name":"Sylvain Giroux","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1183931115383861,"gpt":0.2878337376253449,"spread":0.1694406260869588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337791,0.0006077181,0.0008940124,0.0004897385,0.0004142022,0.00109733,0.001277016,0.001144331,0.00321762],"category_scores_gemma":[0.007679366,0.000329239,0.0009478619,0.000468606,0.0008842018,0.002333812,0.0009543761,0.001244578,0.0002806243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632507,"about_ca_system_score_gemma":0.001686682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533278,"about_ca_topic_score_gemma":0.01427734,"domain_scores_codex":[0.9994276,0.000205849,0.00003513098,0.000133278,0.0001220644,0.00007598959],"domain_scores_gemma":[0.9950506,0.003771243,0.000296018,0.0003395711,0.0003540625,0.0001884618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007893261,0.0002245595,0.003993428,0.0000849689,0.00007006543,0.0001691363,0.0001570283,0.9258478,0.000893947,0.02391378,0.0008573162,0.04299856],"study_design_scores_gemma":[0.00001740104,0.00003133562,0.0001132274,0.000001951131,0.000009745529,0.00001082706,0.00001277287,0.9914642,0.0001839811,0.008060789,0.00008812336,0.000005582479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3819988,0.0004049408,0.6095233,0.001069499,0.00006319581,0.0002055701,0.0008097639,0.001610773,0.004314182],"genre_scores_gemma":[0.9300994,0.0001834779,0.06781835,0.00007873477,0.00001859861,0.00008329615,0.0003879561,0.00005591508,0.001274311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02533278,"threshold_uncertainty_score":0.05037063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W121593559","doi":"","title":"Generalizing GraphPlan by formulating planning as a CSP","year":2003,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Implementation; Encoding (memory); Computer science; Automated planning and scheduling; Graph; Set (abstract data type); Simple (philosophy); Theoretical computer science; Mathematical optimization; Artificial intelligence; Mathematics; Programming language","authors":[{"name":"Adriana Lopez","is_ca":true},{"name":"Fahiem Bacchus","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01597510617832052,"gpt":0.2519783742469103,"spread":0.2360032680685898,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731704,0.001219549,0.0005380326,0.0009446389,0.0006004745,0.001926559,0.001587177,0.001059695,0.006393626],"category_scores_gemma":[0.00719822,0.0006354256,0.002042018,0.001991356,0.002715085,0.004216136,0.002271271,0.003712255,0.001259872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377965,"about_ca_system_score_gemma":0.003256255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124067,"about_ca_topic_score_gemma":0.01645346,"domain_scores_codex":[0.9985361,0.000533881,0.0001175071,0.0002473638,0.0004255199,0.0001396603],"domain_scores_gemma":[0.9970046,0.001845912,0.0001732229,0.0006948576,0.0002242575,0.00005723535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006034663,0.00008110728,0.0003096536,0.0003773755,0.00005175878,0.0002991105,0.000367282,0.328874,0.003995354,0.5076809,0.005332801,0.1525705],"study_design_scores_gemma":[0.00004263039,0.00004465271,0.00009510606,0.00006652264,0.00004686191,0.0001310666,0.0001086161,0.4100642,0.00508209,0.553939,0.0303563,0.00002295904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002566703,0.0000637648,0.9899229,0.0004906646,0.00004878473,0.0001452018,0.0001219253,0.0008372659,0.005802692],"genre_scores_gemma":[0.06457144,0.0004677066,0.9306874,0.0003725818,0.00006606147,0.0003105411,0.0004610394,0.0003424289,0.002720769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0124067,"threshold_uncertainty_score":0.02466899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129975315","doi":"","title":"HTN planning with preferences","year":2009,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Planner; Heuristics; Computer science; Preference; Task (project management); Set (abstract data type); Domain (mathematical analysis); Quality (philosophy); Control (management); Automated planning and scheduling; Range (aeronautics); Extension (predicate logic); Competition (biology); Artificial intelligence; Operations research; Mathematics; Engineering; Programming language","authors":[{"name":"Shirin Sohrabi","is_ca":true},{"name":"Jorge A. Baier","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02053908511863492,"gpt":0.2401396641766325,"spread":0.2196005790579975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984021,0.000775551,0.0004765509,0.0006007854,0.000607574,0.001235311,0.001173817,0.0005932245,0.005805223],"category_scores_gemma":[0.006359429,0.000516443,0.0008851966,0.0008698294,0.001128148,0.002808689,0.002135205,0.001234253,0.0008216493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125923,"about_ca_system_score_gemma":0.00182877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244742,"about_ca_topic_score_gemma":0.01147213,"domain_scores_codex":[0.9984498,0.0005891395,0.000116325,0.0002525942,0.0004609512,0.0001312054],"domain_scores_gemma":[0.9974115,0.001639704,0.0001672165,0.0003986572,0.0002670459,0.0001159078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003705941,0.0001070419,0.001592806,0.0005382732,0.00007466744,0.0004409438,0.0009016363,0.5884002,0.006108747,0.2092183,0.006445609,0.1858011],"study_design_scores_gemma":[0.00005410072,0.00008700506,0.0002538008,0.00005417218,0.00003258517,0.000120466,0.0001884451,0.8232763,0.005055944,0.1514359,0.01941348,0.00002792308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00999792,0.00009596982,0.9817012,0.0001551979,0.00002544007,0.0001533399,0.0002518913,0.0007828837,0.006836304],"genre_scores_gemma":[0.2080846,0.0002425203,0.7850569,0.0001540918,0.00002165854,0.0003700106,0.0006871247,0.000324634,0.005058528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005805223,"threshold_uncertainty_score":0.01942039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1557519121","doi":"10.1613/jair.2293","title":"Graph Abstraction in Real-time Heuristic Search","year":2007,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta; Western Canada Research Grid","keywords":"Computer science; Abstraction; Incremental heuristic search; Heuristic; Graph; Maxima and minima; Theoretical computer science; Pathfinding; Class (philosophy); Situated; Beam search; Artificial intelligence; Search algorithm; Algorithm; Mathematics","authors":[{"name":"Vadim Bulitko","is_ca":true},{"name":"Nathan Sturtevant","is_ca":true},{"name":"Junhao Lu","is_ca":true},{"name":"Thomas Yau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1599400188619807,"gpt":0.4311293688593298,"spread":0.2711893499973491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526141,0.0006045668,0.0009087593,0.001140479,0.000608115,0.001433952,0.001340406,0.00105042,0.002016126],"category_scores_gemma":[0.01394699,0.0006140378,0.0009819224,0.001581496,0.002899691,0.004070633,0.001685829,0.001960537,0.0002994516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665054,"about_ca_system_score_gemma":0.001421478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003917666,"about_ca_topic_score_gemma":0.002869066,"domain_scores_codex":[0.9983959,0.0008603692,0.00006548713,0.0002263404,0.0003255981,0.0001263425],"domain_scores_gemma":[0.9881248,0.008507265,0.0007897236,0.001818307,0.0005190279,0.0002408207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000147189,0.0000594166,0.0007875434,0.000143975,0.00004278972,0.00007252827,0.0002357463,0.82928,0.001393038,0.120023,0.0005408597,0.04727389],"study_design_scores_gemma":[0.00002944057,0.00006262549,0.0002541703,0.00001691675,0.00001895681,0.00003807234,0.00003205933,0.8368143,0.0008080375,0.1605801,0.001330594,0.00001470344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05344927,0.000656957,0.9424456,0.0002708171,0.00002377031,0.0000622859,0.00006023758,0.0006141726,0.002416802],"genre_scores_gemma":[0.7175075,0.0007073586,0.2793964,0.0001132326,0.00003441436,0.0001781109,0.0001739282,0.00013117,0.001757961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003917666,"threshold_uncertainty_score":0.01335961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965569070","doi":"10.1609/icaps.v29i1.3529","title":"Learning Interpretable Models Expressed in Linear Temporal Logic","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research","keywords":"Artificial intelligence; Computer science; Linear temporal logic; Oracle; Classifier (UML); Machine learning; Relevance (law); Set (abstract data type); Feature learning; Temporal logic; Theoretical computer science","authors":[{"name":"Alberto Rivas","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03469309263076131,"gpt":0.2746181787677578,"spread":0.2399250861369965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766897,0.0008472868,0.0005827183,0.0008982187,0.0003406516,0.001615774,0.001674784,0.0008416541,0.002221718],"category_scores_gemma":[0.01323193,0.0004363173,0.001200491,0.0008853024,0.00171645,0.002592271,0.000995047,0.001745124,0.0003488501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766768,"about_ca_system_score_gemma":0.001844125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005662168,"about_ca_topic_score_gemma":0.009398586,"domain_scores_codex":[0.9981962,0.0006266865,0.0001209352,0.0004306948,0.00048669,0.0001388655],"domain_scores_gemma":[0.9915495,0.006258479,0.0008412967,0.0006781178,0.0005512209,0.0001214192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002333226,0.0002115478,0.003680854,0.0002660306,0.00009975328,0.0003418057,0.0006390561,0.7894779,0.005373979,0.1298726,0.001294895,0.06850826],"study_design_scores_gemma":[0.00001482281,0.00003526843,0.0001083325,0.00001609845,0.00001341038,0.00002446526,0.00002721121,0.9253917,0.001535789,0.07231309,0.0005124592,0.000007384541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02629115,0.0000822114,0.970918,0.0003865029,0.00001492047,0.00005659529,0.0003452387,0.0007417713,0.001163661],"genre_scores_gemma":[0.5848973,0.0002213172,0.4112509,0.0002488689,0.00003757054,0.0002802999,0.001261674,0.0001236497,0.001678369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005662168,"threshold_uncertainty_score":0.01281887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2406423292","doi":"10.1609/aaai.v25i1.7845","title":"Preferred Explanations: Theory and Generation via Planning","year":2011,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exploit; Computer science; Domain (mathematical analysis); Artificial intelligence; Characterization (materials science); Dynamical systems theory; Theoretical computer science; Machine learning; Mathematics","authors":[{"name":"Shirin Sohrabi","is_ca":true},{"name":"Jorge A. Baier","is_ca":false},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.173450729752352,"gpt":0.2962124010431704,"spread":0.1227616712908184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004863552,0.001122418,0.0007806069,0.00238542,0.001405087,0.003433493,0.002824495,0.002194849,0.009282666],"category_scores_gemma":[0.01826366,0.0008352539,0.002516325,0.001904294,0.005975281,0.007214346,0.002993589,0.002953412,0.0008427648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002253361,"about_ca_system_score_gemma":0.00202164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003963395,"about_ca_topic_score_gemma":0.00486062,"domain_scores_codex":[0.9961944,0.001896752,0.0002262197,0.0006979971,0.0007668298,0.0002178238],"domain_scores_gemma":[0.9873727,0.01013365,0.0005440964,0.001178349,0.0005578791,0.0002131809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003153534,0.00002280963,0.0003141142,0.0002023698,0.00003521435,0.0001434587,0.0004395625,0.03793791,0.0003143655,0.9311368,0.001702835,0.02771912],"study_design_scores_gemma":[0.00002046828,0.00001166666,0.00005156066,0.00004745557,0.00001630665,0.00005754997,0.000069168,0.07125968,0.0004248691,0.9238709,0.004156659,0.00001366869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004116437,0.0007428146,0.985334,0.001442179,0.00005471911,0.00007914164,0.0001852718,0.0002708416,0.007774673],"genre_scores_gemma":[0.2657616,0.001964706,0.723666,0.000587156,0.0002210628,0.0006615813,0.0009894288,0.0002663732,0.005882134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009282666,"threshold_uncertainty_score":0.03105366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W105409620","doi":"","title":"Planning with loops","year":2005,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Planner; Computer science; Strengths and weaknesses; Iterative method; Work (physics); Automated theorem proving; Theoretical computer science; Algorithm; Artificial intelligence; Engineering","authors":[{"name":"Hector J. Levesque","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1145712606826355,"gpt":0.3172324644868931,"spread":0.2026612038042576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002134976,0.0009947839,0.0005261264,0.0005113715,0.001392003,0.002229576,0.001452289,0.001050283,0.01421437],"category_scores_gemma":[0.009068165,0.000609598,0.001284542,0.000654681,0.003049986,0.003901896,0.003108391,0.001822432,0.001844003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024739,"about_ca_system_score_gemma":0.002235686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732476,"about_ca_topic_score_gemma":0.003510878,"domain_scores_codex":[0.9978952,0.0007729509,0.0001256067,0.000481724,0.0004971203,0.0002272775],"domain_scores_gemma":[0.9961128,0.002420777,0.000219096,0.000789393,0.0003163472,0.0001416217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002405306,0.00009448762,0.000782412,0.0004284656,0.00009699067,0.000301987,0.001221392,0.07915681,0.003428642,0.7964796,0.006287631,0.111481],"study_design_scores_gemma":[0.00006477032,0.0001154744,0.0001462418,0.000101874,0.00006884476,0.0001861725,0.0002609868,0.1081585,0.007199164,0.8116021,0.07205733,0.00003855037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008564669,0.0003200861,0.9572228,0.000504147,0.00008683288,0.0001910319,0.0001589848,0.001810757,0.03114074],"genre_scores_gemma":[0.3406239,0.0007292545,0.6372344,0.0003582545,0.00008235579,0.0004211823,0.0005525838,0.0005757468,0.0194223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01421437,"threshold_uncertainty_score":0.04755181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158118484","doi":"10.1016/j.artint.2011.08.001","title":"Learning heuristic functions for large state spaces","year":2011,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; University of Alberta","funders":"","keywords":"Heuristics; Heuristic; Bootstrapping (finance); Computer science; Process (computing); Mathematical optimization; Sequence (biology); Hyper-heuristic; Null-move heuristic; Set (abstract data type); State (computer science); Consistent heuristic; Algorithm; Mathematics; Incremental heuristic search; Artificial intelligence; Machine learning; Search algorithm; Beam search","authors":[{"name":"Shahab Jabbari Arfaee","is_ca":true},{"name":"Sandra Zilles","is_ca":true},{"name":"Robert C. Holte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08500217590443197,"gpt":0.2862445155951895,"spread":0.2012423396907575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002543493,0.001122558,0.00174252,0.001638979,0.0007798505,0.001757827,0.00157503,0.001857817,0.003207684],"category_scores_gemma":[0.01621861,0.001201876,0.0007625243,0.001459449,0.001741949,0.003887455,0.00175949,0.002433722,0.0004201134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195254,"about_ca_system_score_gemma":0.001688799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006047755,"about_ca_topic_score_gemma":0.007721971,"domain_scores_codex":[0.9992518,0.0003241833,0.00005341268,0.0001425879,0.0001457235,0.00008234879],"domain_scores_gemma":[0.9891099,0.009537555,0.0003466872,0.0004558738,0.0003639434,0.0001860412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009795415,0.00006926675,0.0006741025,0.0001331802,0.00006275754,0.00005930103,0.00007414198,0.9086813,0.0002985464,0.02880671,0.001324528,0.05971808],"study_design_scores_gemma":[0.00001294533,0.0000103573,0.00004522612,0.000008478422,0.00000624939,0.000005677093,0.000008980467,0.9749067,0.0001084078,0.02470082,0.0001829474,0.000003196805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03842744,0.0008790878,0.9569362,0.0003459114,0.00004947211,0.00006051786,0.0001127938,0.0005586474,0.002629896],"genre_scores_gemma":[0.6685583,0.0007887159,0.3261651,0.0002132714,0.0001101693,0.0004672885,0.0005562619,0.0002110982,0.002929858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006047755,"threshold_uncertainty_score":0.01416677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089730874","doi":"10.1016/j.artint.2008.11.003","title":"Practical solution techniques for first-order MDPs","year":2008,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Arity; Generality; Computer science; Markov decision process; Theoretical computer science; Probabilistic logic; Domain (mathematical analysis); Answer set programming; First-order logic; Domain theory; Mathematical optimization; Logic programming; Artificial intelligence; Markov process; Programming language; Mathematics; Discrete mathematics","authors":[{"name":"Scott Sanner","is_ca":false},{"name":"Craig Boutilier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1361000294054425,"gpt":0.349719729616963,"spread":0.2136197002115205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001724648,0.001406216,0.00109799,0.001283654,0.0009449805,0.001226715,0.002162596,0.001743998,0.01217436],"category_scores_gemma":[0.00826875,0.001042264,0.001395863,0.001429764,0.001180003,0.002018518,0.0024577,0.003056779,0.001194226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190005,"about_ca_system_score_gemma":0.00190446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003644134,"about_ca_topic_score_gemma":0.006527022,"domain_scores_codex":[0.9991904,0.0002440742,0.00004999294,0.0001447793,0.0002727124,0.00009794222],"domain_scores_gemma":[0.9972243,0.002129149,0.0001169751,0.000206047,0.00025433,0.00006922195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007113734,0.00008189052,0.0002267874,0.0004149194,0.000050143,0.00008597215,0.0002712065,0.7070394,0.001004378,0.1553984,0.003458923,0.1318968],"study_design_scores_gemma":[0.00005042539,0.00004538937,0.00006130595,0.00006034208,0.00002071733,0.00004894314,0.0000691923,0.8682916,0.0007991291,0.1248073,0.005736222,0.00000938261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003352911,0.0002752403,0.9891326,0.0001879734,0.00004097793,0.00008752269,0.00005160841,0.0001941011,0.006677026],"genre_scores_gemma":[0.1161469,0.0006381699,0.8765132,0.00009127367,0.0000702456,0.0004414287,0.0002402153,0.0001777871,0.005680753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01217436,"threshold_uncertainty_score":0.04072732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1857953989","doi":"10.1609/aimag.v29i4.2204","title":"Planning with Preferences","year":2008,"lang":"en","type":"article","venue":"AI Magazine","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Automated planning and scheduling; Computer science; Task (project management); Quality (philosophy); Set (abstract data type); Preference; State (computer science); Representation (politics); Artificial intelligence; Operations research; Human–computer interaction; Management science; Engineering; Systems engineering","authors":[{"name":"Jorge A. Baier","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02754505654107807,"gpt":0.2408190002446912,"spread":0.2132739437036132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002911039,0.001113728,0.0006810163,0.001035549,0.0010114,0.003089799,0.001655556,0.001203548,0.008652251],"category_scores_gemma":[0.009156181,0.0006251489,0.00147535,0.0019266,0.002223913,0.005451206,0.003290298,0.002512373,0.001915683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261987,"about_ca_system_score_gemma":0.00204681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735305,"about_ca_topic_score_gemma":0.004140886,"domain_scores_codex":[0.9964592,0.001771685,0.0002827664,0.0004636593,0.0008261491,0.0001966311],"domain_scores_gemma":[0.9968117,0.001847092,0.000221998,0.0006220128,0.0003704132,0.0001267898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009795104,0.00005498151,0.0003719939,0.0004183513,0.00005935939,0.0002278914,0.0009513512,0.03187246,0.001219399,0.8140929,0.007828214,0.1428051],"study_design_scores_gemma":[0.0000624902,0.00008179982,0.0001946292,0.0002307605,0.00006176529,0.0003395883,0.0004533258,0.08311073,0.002267799,0.8134381,0.09970488,0.00005408509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004126412,0.00115226,0.959212,0.00134876,0.000113782,0.0002470488,0.0004408391,0.0005730352,0.0327859],"genre_scores_gemma":[0.1654687,0.003176875,0.8167889,0.0006207525,0.0001485796,0.0008098236,0.001106232,0.000211552,0.01166872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008652251,"threshold_uncertainty_score":0.02894461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105263699","doi":"10.1139/l11-016","title":"Cost estimation model for building projects using case-based reasoning","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Estimation; Cost estimate; Computer science; Model building; Engineering; Systems engineering","authors":[{"name":"Sae‐Hyun Ji","is_ca":false},{"name":"Moonseo Park","is_ca":false},{"name":"Hyun‐Soo Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06934836077658472,"gpt":0.2470057902140135,"spread":0.1776574294374288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00182143,0.001060214,0.00106208,0.002188495,0.0006916605,0.002373049,0.003731424,0.002661315,0.0057377],"category_scores_gemma":[0.004074416,0.0007278933,0.0014766,0.002249054,0.0007944926,0.002585924,0.001041155,0.001382954,0.0007028151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886818,"about_ca_system_score_gemma":0.001704573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548652,"about_ca_topic_score_gemma":0.01468631,"domain_scores_codex":[0.9987046,0.000376327,0.0000982456,0.0002533876,0.0004474521,0.0001200351],"domain_scores_gemma":[0.9986841,0.0007509849,0.0002047094,0.00005050033,0.0002615375,0.00004815321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001449143,0.00002762691,0.0002656681,0.00002239503,0.00001472019,0.0001139298,0.00003728699,0.9753728,0.0001574976,0.01787473,0.0003088518,0.005789955],"study_design_scores_gemma":[0.000004375151,0.000005842959,0.00006159973,0.000003609777,0.000006788022,0.00002619881,0.000008360726,0.9960175,0.00005143807,0.003514888,0.0002946248,0.00000471828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02138148,0.0002343796,0.9671637,0.0007299847,0.00004244246,0.000135821,0.0002387217,0.0002582782,0.009815068],"genre_scores_gemma":[0.762665,0.0007948845,0.2199553,0.0001203537,0.00007510592,0.0007265676,0.000538299,0.00007292732,0.01505163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02548652,"threshold_uncertainty_score":0.05067635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2604825101","doi":"10.1609/aaai.v31i1.11058","title":"Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces","year":2017,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear temporal logic; Planner; Domain (mathematical analysis); Observable; Computer science; Automaton; Finite-state machine; State (computer science); Theoretical computer science; Finite state; Point (geometry); Mathematics; Algorithm; Artificial intelligence","authors":[{"name":"Alberto Rivas","is_ca":true},{"name":"Eleni Triantafillou","is_ca":true},{"name":"Christian Muise","is_ca":false},{"name":"Jorge A. Baier","is_ca":false},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07026156845158368,"gpt":0.3090788379014295,"spread":0.2388172694498459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560872,0.0006368458,0.0004946926,0.0004554509,0.0006305322,0.001838801,0.001295107,0.0009217976,0.00214094],"category_scores_gemma":[0.01073633,0.0004680239,0.0009586132,0.0007471108,0.002392897,0.003391865,0.001738965,0.002061177,0.0003816032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372261,"about_ca_system_score_gemma":0.002930711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723975,"about_ca_topic_score_gemma":0.007581566,"domain_scores_codex":[0.997946,0.0008778201,0.0001726932,0.0002676999,0.0005625825,0.0001731959],"domain_scores_gemma":[0.9903775,0.006734222,0.0006762336,0.001388218,0.0006120417,0.0002118159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003166493,0.0001532469,0.001609928,0.0003310712,0.00006383241,0.0004606974,0.0007561791,0.5972098,0.008103204,0.3018727,0.001681812,0.08744086],"study_design_scores_gemma":[0.00005379695,0.00007802524,0.0001738547,0.00005406248,0.00002870602,0.00007851078,0.0001135195,0.8042516,0.008249309,0.1826266,0.004271241,0.00002093724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02970073,0.0001889221,0.9634127,0.0004316398,0.00003308006,0.0001053621,0.0001604427,0.001227019,0.004740089],"genre_scores_gemma":[0.4930191,0.0002916458,0.5025833,0.0002345331,0.00002862721,0.0003281333,0.00046364,0.0003454864,0.002705446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004723975,"threshold_uncertainty_score":0.01354331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W92128319","doi":"10.5591/978-1-57735-516-8/ijcai11-159","title":"Generalized planning: synthesizing plans that work for multiple environments","year":2011,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Decidability; Recursively enumerable language; Formalism (music); Constructive; Mathematics; Finite set; Sequence (biology); Computer science; Set (abstract data type); Theoretical computer science; Discrete mathematics; Programming language","authors":[{"name":"Yuxiao Hu","is_ca":true},{"name":"Giuseppe De Giacomo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1044019419713759,"gpt":0.2441648993010664,"spread":0.1397629573296904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001453952,0.001020435,0.0006118151,0.0006037654,0.0007522133,0.001507611,0.002307681,0.0009473528,0.004105932],"category_scores_gemma":[0.003781087,0.0006289147,0.001749294,0.0008484554,0.002634856,0.003454249,0.003630199,0.001984853,0.0005007562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625297,"about_ca_system_score_gemma":0.002287231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277409,"about_ca_topic_score_gemma":0.004290992,"domain_scores_codex":[0.9987981,0.0003482492,0.00009712492,0.0002886828,0.0002905547,0.0001772301],"domain_scores_gemma":[0.9986644,0.0006038756,0.0001274087,0.0004377555,0.00008597897,0.0000806094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001328429,0.0001104969,0.0006572023,0.0004758345,0.000103172,0.0006093929,0.0009123571,0.2189869,0.009720637,0.6291223,0.00267594,0.1364929],"study_design_scores_gemma":[0.00005850996,0.0001212064,0.0001877743,0.0001186388,0.00009742118,0.0002857056,0.000225467,0.4339295,0.01260684,0.5328806,0.01943427,0.00005396331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007093911,0.00007369854,0.9875679,0.0001548768,0.00002612694,0.0001597689,0.00007531915,0.0008501066,0.003998294],"genre_scores_gemma":[0.1395714,0.0001601396,0.8571468,0.000122573,0.00002118178,0.0004059253,0.0002568833,0.0001873309,0.002127694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004105932,"threshold_uncertainty_score":0.01373571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133180954","doi":"10.1613/jair.1676","title":"Decision-Theoretic Planning with non-Markovian Rewards","year":2006,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Australian Government; National ICT Australia","keywords":"Markov decision process; Computer science; Markov process; Partially observable Markov decision process; Heuristic; Probabilistic logic; Planner; Mathematical optimization; Decision problem; Process (computing); Function (biology); Artificial intelligence; Mathematics; Algorithm","authors":[{"name":"Sylvie Thiébaux","is_ca":false},{"name":"Charles Gretton","is_ca":false},{"name":"John Slaney","is_ca":false},{"name":"David J. Price","is_ca":false},{"name":"F. Kabanza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06525791475197834,"gpt":0.3788264025247418,"spread":0.3135684877727634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002852846,0.0008560957,0.0006189278,0.0005622145,0.0005730974,0.001747343,0.001338337,0.0008750975,0.003350336],"category_scores_gemma":[0.008090721,0.0005173255,0.00112291,0.0007538411,0.002094002,0.002665948,0.001703262,0.001846606,0.0004341502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586553,"about_ca_system_score_gemma":0.003620665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037399,"about_ca_topic_score_gemma":0.004189306,"domain_scores_codex":[0.997491,0.001044557,0.0001601229,0.0003845273,0.0007447887,0.0001749783],"domain_scores_gemma":[0.9951038,0.003737218,0.0003550956,0.0003795446,0.0002670512,0.0001573034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000131453,0.00007196478,0.0004929677,0.0002296018,0.00005151986,0.0001494945,0.0002562901,0.3906796,0.001979043,0.545961,0.001570184,0.05842682],"study_design_scores_gemma":[0.00005327458,0.00006680785,0.0001430346,0.00004036877,0.00002300312,0.00006252289,0.00003647338,0.7106074,0.002309883,0.2784242,0.008210194,0.00002286369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007782176,0.0002308931,0.9855924,0.0002798346,0.00003197437,0.00009580952,0.00009742974,0.0003209503,0.005568493],"genre_scores_gemma":[0.3203368,0.0006625506,0.6739384,0.000134517,0.0000437077,0.0003502244,0.0002984238,0.0001209726,0.004114474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003350336,"threshold_uncertainty_score":0.01508743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129900375","doi":"10.1109/ccece.1997.614837","title":"Computational intelligence in software engineering","year":2002,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computational intelligence; Software engineering; Software development; Social software engineering; Software construction; Search-based software engineering; Software; Software quality; Artificial intelligence; Programming language","authors":[{"name":"Witold Pedrycz","is_ca":true},{"name":"James F. Peters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01835559352484022,"gpt":0.2137201887761001,"spread":0.1953645952512599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828805,0.001349923,0.001386848,0.003231009,0.001238529,0.006192168,0.001326382,0.003054806,0.004710603],"category_scores_gemma":[0.006469841,0.0004599495,0.000831951,0.004035311,0.01003496,0.007154106,0.00277447,0.006054959,0.001429455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371217,"about_ca_system_score_gemma":0.002431298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467338,"about_ca_topic_score_gemma":0.001026315,"domain_scores_codex":[0.9964282,0.001469076,0.0002324444,0.00044691,0.001261148,0.0001622219],"domain_scores_gemma":[0.9937337,0.004957086,0.0001921333,0.0005272293,0.0004114994,0.0001782513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006086071,0.00001099428,0.0001297807,0.0002917585,0.000023441,0.00005334692,0.0002406649,0.002145126,0.0001301332,0.9593158,0.007819669,0.02983329],"study_design_scores_gemma":[0.000005940048,0.00001319661,0.0001022742,0.0001930729,0.00000558315,0.00006933241,0.00008064404,0.002155331,0.00008190557,0.911142,0.08614129,0.000009605763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005066996,0.4321415,0.2572021,0.04758063,0.005568584,0.0001406785,0.0002444442,0.0006308219,0.2514241],"genre_scores_gemma":[0.3441871,0.3462661,0.2227722,0.01550985,0.01551861,0.0009384021,0.0005848592,0.0004371438,0.05378564],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006192168,"threshold_uncertainty_score":0.01720452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2293119400","doi":"10.1609/aaai.v26i1.8137","title":"Partial-Expansion A* with Selective Node Generation","year":2021,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Israel Science Foundation","keywords":"Node (physics); A priori and a posteriori; Computer science; Yield (engineering); Branching (polymer chemistry); Domain (mathematical analysis); Pathfinding; Mathematics; Mathematical optimization; Algorithm; Theoretical computer science; Graph; Engineering","authors":[{"name":"Ariel Felner","is_ca":false},{"name":"Meir Goldenberg","is_ca":false},{"name":"Guni Sharon","is_ca":false},{"name":"Roni Stern","is_ca":false},{"name":"Tal Beja","is_ca":false},{"name":"Nathan Sturtevant","is_ca":false},{"name":"Jonathan Schaeffer","is_ca":true},{"name":"Robert C. Holte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0722721480175147,"gpt":0.2760375100654326,"spread":0.203765362047918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006995388,0.0008810914,0.0006816377,0.0007863884,0.000592495,0.0006111623,0.002052634,0.001063347,0.007923798],"category_scores_gemma":[0.002590383,0.0004440653,0.0010124,0.0009246001,0.0008890505,0.001824009,0.002643513,0.001420946,0.001490249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612854,"about_ca_system_score_gemma":0.00134059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707853,"about_ca_topic_score_gemma":0.004810752,"domain_scores_codex":[0.9995924,0.00009217285,0.00002849791,0.000104508,0.00009919902,0.00008338622],"domain_scores_gemma":[0.9986785,0.0006166254,0.00007039068,0.0003962145,0.0001740849,0.00006421264],"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":[0.000305681,0.0003492547,0.002586708,0.0004290643,0.00007710716,0.0003753803,0.000395489,0.1808286,0.02233382,0.03880308,0.01775054,0.7357653],"study_design_scores_gemma":[0.0001012534,0.0002364884,0.0005702483,0.00004943027,0.00005832224,0.0003694589,0.0001254818,0.9099366,0.0167598,0.05170324,0.02006066,0.00002904002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05461853,0.0003520594,0.9194404,0.0003977795,0.00009293685,0.0003937292,0.0004614664,0.006668233,0.01757488],"genre_scores_gemma":[0.2718934,0.0001588531,0.7154829,0.0004056177,0.00002946231,0.0004064328,0.001030883,0.0006437359,0.009948835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007923798,"threshold_uncertainty_score":0.02650779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102323131","doi":"10.1016/j.artint.2011.02.001","title":"Inconsistent heuristics in theory and practice","year":2011,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","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":"University of Alberta","funders":"","keywords":"Heuristics; Heuristic; Social heuristics; Consistency (knowledge bases); Computer science; Node (physics); Reduction (mathematics); Mathematical optimization; Mathematics; Theoretical computer science; Artificial intelligence","authors":[{"name":"Ariel Felner","is_ca":false},{"name":"Uzi Zahavi","is_ca":false},{"name":"Robert C. Holte","is_ca":true},{"name":"Jonathan Schaeffer","is_ca":true},{"name":"Nathan Sturtevant","is_ca":true},{"name":"Zhifu Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1022982046015955,"gpt":0.3197567451938249,"spread":0.2174585405922294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02378097,0.0009934144,0.002092264,0.00613253,0.002860859,0.009223944,0.005190752,0.007046659,0.00831839],"category_scores_gemma":[0.1307621,0.00170805,0.0009162723,0.006189871,0.03273864,0.01937088,0.00511777,0.007331328,0.0008503732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006125687,"about_ca_system_score_gemma":0.007378237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005009243,"about_ca_topic_score_gemma":0.002993478,"domain_scores_codex":[0.9699378,0.01959016,0.001721561,0.002755211,0.00495883,0.001036489],"domain_scores_gemma":[0.8567068,0.1101134,0.003849348,0.0214148,0.00648459,0.001431074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002007315,0.00002748283,0.0004507127,0.0001259914,0.00002405417,0.0000360458,0.0006698786,0.00454045,0.0000239909,0.9789076,0.001300755,0.01387283],"study_design_scores_gemma":[0.00001092174,0.000006236647,0.00005724397,0.00006451532,0.000007680429,0.00001781244,0.0001627737,0.003923152,0.00006162356,0.9921625,0.003520526,0.000004928186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05189172,0.02227907,0.7490134,0.04996165,0.001096883,0.0002100848,0.0002841837,0.0006116498,0.1246514],"genre_scores_gemma":[0.8202766,0.004269045,0.1686333,0.001932793,0.0004010923,0.0004034372,0.0001860356,0.0002389417,0.003658818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02378097,"threshold_uncertainty_score":0.1257673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114629047","doi":"10.1016/j.artint.2006.09.002","title":"Maximizing over multiple pattern databases speeds up heuristic search","year":2006,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation; National Science Foundation","keywords":"Heuristic; Database; Computer science; Data mining; Table (database); Artificial intelligence","authors":[{"name":"Robert C. Holte","is_ca":true},{"name":"Ariel Felner","is_ca":false},{"name":"Jack Newton","is_ca":true},{"name":"Ram Meshulam","is_ca":false},{"name":"David Furcy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09349248129293128,"gpt":0.3108650183312667,"spread":0.2173725370383354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003244355,0.001273754,0.002671617,0.002022452,0.000892958,0.002834409,0.002774126,0.001656252,0.009840671],"category_scores_gemma":[0.02405594,0.001211405,0.001152671,0.003396698,0.0007396371,0.007949651,0.0023467,0.002146356,0.001588413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157961,"about_ca_system_score_gemma":0.002362913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004474957,"about_ca_topic_score_gemma":0.008082915,"domain_scores_codex":[0.9973451,0.0008284603,0.0002366397,0.0005428093,0.0008441595,0.0002028657],"domain_scores_gemma":[0.9850417,0.01017038,0.0005637798,0.002689025,0.001208789,0.0003263635],"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":[0.001112837,0.0006345604,0.007666105,0.000407445,0.0002866495,0.0002293452,0.0002321133,0.1944392,0.005715261,0.02083847,0.01022234,0.7582157],"study_design_scores_gemma":[0.00008895912,0.0001847449,0.00119133,0.00004366385,0.0001583069,0.000248855,0.0001340948,0.9387879,0.003996011,0.05175637,0.003389665,0.00002007479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499298,0.0022299,0.8279144,0.001253456,0.0001902784,0.0003440918,0.0004068966,0.004080821,0.01365026],"genre_scores_gemma":[0.5846107,0.0006363362,0.4086879,0.0003258018,0.0000957193,0.0001881441,0.0006719704,0.0003876632,0.004395853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009840671,"threshold_uncertainty_score":0.0329203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1546235996","doi":"","title":"Fuzzy Reasoning in JESS: The Fuzzyj Toolkit and Fuzzyjess.","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Sandia National Laboratories","keywords":"Computer science; Fuzzy logic; Programming language; Artificial intelligence; Software engineering","authors":[{"name":"Robert Orchard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01365037072099916,"gpt":0.2290748992369409,"spread":0.2154245285159418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001903037,0.0008593512,0.0008607682,0.001536256,0.001275335,0.002440821,0.002822307,0.00121132,0.01575281],"category_scores_gemma":[0.006050825,0.0009997855,0.001927643,0.001186681,0.001050615,0.002462677,0.002402872,0.002050343,0.005596452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510367,"about_ca_system_score_gemma":0.002112322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0079963,"about_ca_topic_score_gemma":0.01415462,"domain_scores_codex":[0.9986179,0.000228797,0.0002094623,0.0001795259,0.0006767591,0.000087475],"domain_scores_gemma":[0.9981781,0.0008250839,0.0001405054,0.0003096415,0.0004505454,0.00009616279],"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":[0.0003896036,0.000286178,0.001846939,0.003409303,0.0003642253,0.001446399,0.002067958,0.0950519,0.01569683,0.2653735,0.1439351,0.4701322],"study_design_scores_gemma":[0.0001311861,0.00005499038,0.0009521929,0.0005633975,0.0001083559,0.001069158,0.0002947276,0.2998702,0.0159332,0.2396981,0.4411643,0.0001600833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001803044,0.0003019012,0.9638078,0.0003861493,0.0001368724,0.0002323907,0.001396399,0.02045757,0.01147786],"genre_scores_gemma":[0.02306411,0.0003775064,0.9627132,0.0002734658,0.00004046111,0.000370632,0.002682549,0.001910293,0.008567832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01575281,"threshold_uncertainty_score":0.05269843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1585557683","doi":"10.1609/icaps.v22i1.13505","title":"Planning Modulo Theories: Extending the Planning Paradigm","year":2012,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Modulo; Planner; Computer science; Modular design; Heuristic; Scope (computer science); Syntax; Answer set programming; Automated planning and scheduling; Programming language; Theoretical computer science; Artificial intelligence; Set (abstract data type); Mathematics; Discrete mathematics","authors":[{"name":"Peter Gregory","is_ca":false},{"name":"Derek Long","is_ca":false},{"name":"Maria Fox","is_ca":false},{"name":"J. Christopher Beck","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04438401684249059,"gpt":0.3012732997910121,"spread":0.2568892829485215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004153052,0.0009590453,0.0006032719,0.001741125,0.001174286,0.002921735,0.00337412,0.001437296,0.004769116],"category_scores_gemma":[0.005798199,0.001025937,0.002939316,0.00208985,0.004745184,0.007987451,0.004785086,0.004665032,0.00106532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903634,"about_ca_system_score_gemma":0.003948603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006215814,"about_ca_topic_score_gemma":0.00921071,"domain_scores_codex":[0.996935,0.001298019,0.0002360137,0.000489794,0.000772983,0.0002681568],"domain_scores_gemma":[0.996713,0.001941405,0.0002061019,0.000742619,0.0002480469,0.0001487593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009905682,0.00008297324,0.000504402,0.0004009121,0.00004064958,0.0002896349,0.0008492329,0.05474275,0.002720532,0.8096435,0.003911681,0.1267146],"study_design_scores_gemma":[0.00007151438,0.00008838405,0.0001271104,0.0001222356,0.00005484322,0.000213843,0.0001932611,0.2048312,0.003676189,0.7376896,0.05290132,0.00003047863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005624422,0.0003241931,0.9794496,0.001361367,0.00006913669,0.0001768659,0.0001935543,0.001300693,0.01150006],"genre_scores_gemma":[0.0766876,0.0006933829,0.9183902,0.0004018266,0.00009018317,0.0002953137,0.0003615117,0.0002862344,0.002793774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006215814,"threshold_uncertainty_score":0.02196372,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1262127546","doi":"","title":"Exploiting procedural domain control knowledge in state-of-the-art planners","year":2007,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Heuristics; Exploit; Domain (mathematical analysis); Automated planning and scheduling; Heuristic; Compiler; Planner; Plan (archaeology); Programming language; Software engineering; Artificial intelligence; Operating system","authors":[{"name":"Jorge A. Baier","is_ca":true},{"name":"Christian Fritz","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01006548637271815,"gpt":0.2388836938946008,"spread":0.2288182075218826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948135,0.0009842573,0.0005440383,0.0009927101,0.0007186473,0.002493575,0.003049138,0.001217402,0.005697184],"category_scores_gemma":[0.006206428,0.001112941,0.00154048,0.001102847,0.002901659,0.003112287,0.003149434,0.003162272,0.00137089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824139,"about_ca_system_score_gemma":0.002987311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343046,"about_ca_topic_score_gemma":0.009783816,"domain_scores_codex":[0.9983657,0.0004993599,0.0001329352,0.0002995924,0.0005163712,0.0001859938],"domain_scores_gemma":[0.9965878,0.001835745,0.0002043461,0.001082513,0.000216099,0.00007358263],"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":[0.0004378509,0.00043885,0.001644604,0.001664366,0.0001079034,0.00053569,0.00171143,0.3413124,0.02677625,0.1841188,0.01348889,0.427763],"study_design_scores_gemma":[0.0001715423,0.000132953,0.0004150065,0.0001800809,0.0001013767,0.0002539187,0.0002844407,0.8243064,0.04718789,0.07070383,0.05618018,0.00008243596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.010156,0.0001587269,0.970879,0.0003375662,0.00002711163,0.0001588996,0.0003354124,0.01192578,0.006021601],"genre_scores_gemma":[0.1517828,0.000363083,0.8421617,0.0002695038,0.00001936161,0.0002870129,0.0009944901,0.001753174,0.002368871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005697184,"threshold_uncertainty_score":0.019059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W52011011","doi":"","title":"Monitoring plan optimality during execution","year":2007,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Plan (archaeology); Computer science; Imperfect; Look-ahead; Face (sociological concept); Mathematical optimization; Algorithm; Mathematics","authors":[{"name":"Christian Fritz","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02255633776098078,"gpt":0.2568103548043802,"spread":0.2342540170433994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01175026,0.0008624397,0.001165538,0.001969439,0.001277983,0.002357353,0.002231014,0.001108797,0.001628446],"category_scores_gemma":[0.05830305,0.0008598485,0.0008525403,0.0009633321,0.002755938,0.003677852,0.003066994,0.001927331,0.000384141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186093,"about_ca_system_score_gemma":0.005043882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00522367,"about_ca_topic_score_gemma":0.005096827,"domain_scores_codex":[0.9864268,0.005341744,0.0008945447,0.001950748,0.004458699,0.0009275157],"domain_scores_gemma":[0.9457094,0.0386863,0.00518877,0.005351366,0.004340699,0.000723423],"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":[0.002106842,0.0003147104,0.03483168,0.000799938,0.0003020926,0.0007259892,0.003736002,0.4050042,0.02897451,0.07600919,0.003869951,0.443325],"study_design_scores_gemma":[0.0001049518,0.0003245964,0.003530615,0.0001384514,0.0001077729,0.0002329409,0.000439601,0.905017,0.02818193,0.05697082,0.004890861,0.00006040492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1362835,0.0004488743,0.8537027,0.0007349182,0.00004123883,0.0003794246,0.0002173466,0.004912227,0.003279791],"genre_scores_gemma":[0.665625,0.0001828213,0.3323025,0.0001319346,0.00002574075,0.0002057365,0.0004301683,0.0003142002,0.000781865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01175026,"threshold_uncertainty_score":0.06214207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122411895","doi":"10.1609/aimag.v25i1.1749","title":"Applications of case-based reasoning in molecular biology","year":2004,"lang":"en","type":"article","venue":"AI Magazine","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Scientific reasoning; Domain (mathematical analysis); Computer science; Case-based reasoning; Artificial intelligence; Management science; Model-based reasoning; Data science; Knowledge representation and reasoning; Engineering; Mathematics education; Mathematics","authors":[{"name":"Igor Jurišica","is_ca":true},{"name":"Janice Glasgow","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007530868579034015,"gpt":0.2666576103586232,"spread":0.2591267417795892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004133523,0.001044844,0.0007092807,0.004428996,0.001488411,0.00438018,0.002770571,0.00410392,0.008615498],"category_scores_gemma":[0.0127705,0.0007761558,0.001353522,0.004610367,0.003766959,0.004444778,0.002959062,0.00279276,0.001939249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809381,"about_ca_system_score_gemma":0.001121263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435607,"about_ca_topic_score_gemma":0.00183656,"domain_scores_codex":[0.9972942,0.001290874,0.0002285066,0.0002228567,0.0008613589,0.0001022181],"domain_scores_gemma":[0.9937533,0.004974332,0.0002044833,0.0004781337,0.0003941694,0.0001956399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000697082,0.0002012063,0.001034633,0.0006330181,0.00008691721,0.001672735,0.0008733879,0.04878899,0.001688339,0.5831214,0.01183006,0.3499997],"study_design_scores_gemma":[0.00005575828,0.0000391754,0.0004777906,0.0005071806,0.00004622242,0.001325581,0.0002846258,0.06386673,0.001659454,0.825877,0.1057983,0.0000621502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009773679,0.05991118,0.7856635,0.01696375,0.001298543,0.0004463354,0.0001932471,0.001169129,0.1245806],"genre_scores_gemma":[0.2024064,0.05734302,0.7263092,0.002130536,0.001160215,0.0003208067,0.0003172439,0.0001437863,0.009868853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008615498,"threshold_uncertainty_score":0.02882171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2274199420","doi":"10.1609/icaps.v22i1.13515","title":"Resource-Constrained Planning: A Monte Carlo Random Walk Approach","year":2012,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Planner; Suite; Computer science; Resource (disambiguation); Monte Carlo method; Feature (linguistics); Random walk; Operations research; Function (biology); Mathematical optimization; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Hootan Nakhost","is_ca":true},{"name":"Jöerg Hoffmann","is_ca":false},{"name":"Martin Mueller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04241536260847029,"gpt":0.2743744785948414,"spread":0.2319591159863711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364571,0.0008323594,0.001138272,0.001237861,0.0005719259,0.001145515,0.001702668,0.001660279,0.004541897],"category_scores_gemma":[0.00867091,0.0007359402,0.000878337,0.001343821,0.001212301,0.001352967,0.0008840755,0.0015979,0.0004351811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393904,"about_ca_system_score_gemma":0.001761408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104964,"about_ca_topic_score_gemma":0.01509925,"domain_scores_codex":[0.9989543,0.000543115,0.00003824588,0.0001208804,0.0002553287,0.00008814511],"domain_scores_gemma":[0.9933809,0.005612085,0.0002569542,0.0002832427,0.0003042866,0.0001624889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002335075,0.00002030839,0.000191829,0.00002545466,0.00001705327,0.00002178652,0.0000174939,0.9793643,0.0001882892,0.01322503,0.0003836238,0.006521366],"study_design_scores_gemma":[0.000006042078,0.000004767695,0.00002314695,0.000003290225,0.000002182495,0.000003254847,0.000002195241,0.9951416,0.00005360113,0.004563469,0.000193724,0.000002631169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01782582,0.0004082675,0.9757774,0.0004231678,0.00004566342,0.0001015065,0.0001272268,0.0006060686,0.004684848],"genre_scores_gemma":[0.4462222,0.0005826164,0.5474324,0.0002737464,0.00008436299,0.0004956057,0.0003427788,0.0003306963,0.004235612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01104964,"threshold_uncertainty_score":0.02197063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008536450","doi":"10.1016/s1350-4533(00)00078-3","title":"Clinical decision-support systems for intensive care units using case-based reasoning","year":2000,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University; University of Ottawa","funders":"Medical Research Council","keywords":"Intensive care; Medicine; Matching (statistics); Neonatal intensive care unit; Work (physics); Decision support system; Intensive care unit; Medical emergency; Expert system; Intensive care medicine; Computer science; Artificial intelligence; Pediatrics; Engineering","authors":[{"name":"Monique Frize","is_ca":true},{"name":"Robin Walker","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03309167810542692,"gpt":0.3006811901368823,"spread":0.2675895120314554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008881176,0.001233212,0.0009350263,0.003487887,0.001473299,0.005037693,0.003506638,0.001939833,0.006803503],"category_scores_gemma":[0.02674947,0.0009146158,0.00126709,0.002498208,0.0009457816,0.003582597,0.002454996,0.001799442,0.001767371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189409,"about_ca_system_score_gemma":0.002358385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008536716,"about_ca_topic_score_gemma":0.0105607,"domain_scores_codex":[0.995025,0.002249959,0.001058935,0.0004736272,0.001034816,0.0001577178],"domain_scores_gemma":[0.9850214,0.01067367,0.0008913896,0.001352344,0.001511797,0.0005493719],"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":[0.0007668224,0.0008114525,0.007178126,0.001477416,0.0003411981,0.002836919,0.00197219,0.1551564,0.007191125,0.05052632,0.02788888,0.7438532],"study_design_scores_gemma":[0.0006976393,0.000305536,0.002127412,0.0006282949,0.0002461051,0.001613634,0.0007656897,0.8321855,0.007631334,0.09303647,0.06055237,0.0002100254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0175841,0.001328816,0.9628859,0.002378137,0.0002039382,0.001528481,0.0008029629,0.007617736,0.005669992],"genre_scores_gemma":[0.1037137,0.000864421,0.8925198,0.0002252495,0.0000704482,0.0005949444,0.001001043,0.00008922329,0.0009211257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008881176,"threshold_uncertainty_score":0.04696876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W131525165","doi":"","title":"Dual lookups in pattern databases","year":2005,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Lookup table; Protein Data Bank (RCSB PDB); Heuristic; Table (database); Cube (algebra); Extension (predicate logic); Dual (grammatical number); Tree (set theory); Database; Combinatorics; Programming language; Mathematics; Artificial intelligence","authors":[{"name":"Ariel Felner","is_ca":false},{"name":"Uzi Zahavi","is_ca":false},{"name":"Jonathan Schaeffer","is_ca":true},{"name":"Robert C. Holte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1547039293367191,"gpt":0.3363811980348475,"spread":0.1816772686981283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003517209,0.0006234614,0.001284581,0.002246968,0.001600647,0.005067876,0.003886145,0.001980409,0.00907429],"category_scores_gemma":[0.0173671,0.00164839,0.001341638,0.0042668,0.002503813,0.01235741,0.006520682,0.002561436,0.003003015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415504,"about_ca_system_score_gemma":0.001836397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252023,"about_ca_topic_score_gemma":0.002547273,"domain_scores_codex":[0.9950247,0.001168862,0.0006757648,0.0009823294,0.001669505,0.0004787779],"domain_scores_gemma":[0.9890205,0.003616489,0.0006273764,0.005537575,0.0009206475,0.0002773522],"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":[0.0006752257,0.0002140125,0.003476319,0.0005488742,0.00008178623,0.0007046603,0.0006619213,0.03078311,0.007126013,0.4153305,0.01580832,0.5245894],"study_design_scores_gemma":[0.0001559992,0.0002148113,0.0004590205,0.0001877893,0.0001097598,0.00146982,0.0004843506,0.2479379,0.02604374,0.6537391,0.06908078,0.0001170464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02823076,0.001286151,0.9528341,0.0007298267,0.0002099331,0.0001821451,0.0007771069,0.004490729,0.01125908],"genre_scores_gemma":[0.2698196,0.0006833739,0.71876,0.0005069316,0.00007140375,0.0002940119,0.001500733,0.0007785303,0.007585418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00907429,"threshold_uncertainty_score":0.03035659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140994944","doi":"10.1613/jair.2241","title":"Compressed Pattern Databases","year":2007,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Israel Science Foundation; National Science Foundation","keywords":"Computer science; Table (database); Set (abstract data type); Uncompressed video; Database; Heuristic; Merge (version control); Domain (mathematical analysis); Algorithm; Data mining; Theoretical computer science; Information retrieval; Programming language; Artificial intelligence; Mathematics","authors":[{"name":"Ariel Felner","is_ca":false},{"name":"Richard E. Korf","is_ca":false},{"name":"Ram Meshulam","is_ca":false},{"name":"Robert C. Holte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3046764847256089,"gpt":0.4608203706218097,"spread":0.1561438858962008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008459085,0.0007615595,0.00113819,0.002548054,0.0007847829,0.002718816,0.003200774,0.001078593,0.01715063],"category_scores_gemma":[0.008260282,0.0005725381,0.0007058225,0.007005116,0.0005711989,0.005599635,0.002307038,0.001213673,0.00420561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009098246,"about_ca_system_score_gemma":0.001514261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360557,"about_ca_topic_score_gemma":0.003112001,"domain_scores_codex":[0.9981909,0.0002642213,0.0002411429,0.0003180995,0.0008204862,0.0001651045],"domain_scores_gemma":[0.9944019,0.001233397,0.0003309786,0.002886095,0.001010335,0.0001373886],"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":[0.001459046,0.0003539084,0.001982943,0.0007867489,0.0001146519,0.0006620953,0.0003499511,0.04284903,0.01683892,0.0620344,0.07507002,0.7974983],"study_design_scores_gemma":[0.0006640779,0.0006802641,0.002712423,0.000383268,0.0001507131,0.003170355,0.001046552,0.4264146,0.06293914,0.2563447,0.2453478,0.000145976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07511418,0.003947719,0.8339663,0.002390162,0.0007491993,0.001039204,0.03338121,0.01823823,0.03117372],"genre_scores_gemma":[0.2953318,0.002588809,0.6267207,0.0007654142,0.0002091175,0.001198971,0.05889077,0.0008872895,0.0134072],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01715063,"threshold_uncertainty_score":0.0573746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043379547","doi":"10.1017/s0890060405050080","title":"Functional reasoning theories: Problems and perspectives","year":2005,"lang":"en","type":"article","venue":"Artificial intelligence for engineering design analysis and manufacturing","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Chiba University; University of Winnipeg","keywords":"Ascription; Function (biology); Computer science; Artificial intelligence; Artifact (error); Cognitive science; Epistemology; Representation (politics); Defeasible reasoning; Philosophy of science; Property (philosophy); Management science; Psychology; Engineering","authors":[{"name":"Behrouz H. Far","is_ca":true},{"name":"A. HALIM ELAMY","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0366648073150374,"gpt":0.2346097804040785,"spread":0.197944973089041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01833641,0.001870742,0.002132048,0.00740661,0.002626073,0.00713762,0.005480109,0.006469445,0.008425485],"category_scores_gemma":[0.02393527,0.001148864,0.002339906,0.007124275,0.02722118,0.02274437,0.003473773,0.009738109,0.001763073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006701041,"about_ca_system_score_gemma":0.002605257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424967,"about_ca_topic_score_gemma":0.001925706,"domain_scores_codex":[0.9907122,0.00549915,0.0004546873,0.0008534426,0.002119612,0.0003609488],"domain_scores_gemma":[0.9607255,0.03349793,0.0008185096,0.001714223,0.002831838,0.0004119353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005180527,0.0000139334,0.00007935456,0.0001188963,0.00001103654,0.00003393646,0.0002125303,0.0009607467,0.00001212065,0.9861211,0.00258686,0.009844081],"study_design_scores_gemma":[0.000003553757,0.000003233388,0.00002925842,0.00006757079,0.000002850746,0.00002811207,0.0001025301,0.001226005,0.00001798927,0.9914947,0.007020009,0.000004227672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00892009,0.1805585,0.4864233,0.1289074,0.002072591,0.0001710514,0.000508073,0.000362044,0.1920768],"genre_scores_gemma":[0.4966486,0.1453333,0.3064646,0.01589434,0.01363779,0.0008126538,0.001067943,0.0003690277,0.01977162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01833641,"threshold_uncertainty_score":0.09697342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145271296","doi":"10.1109/taes.2011.6034643","title":"Hierarchical Fault Diagnosis and Fuzzy Rule-Based Reasoning for Satellites Formation Flight","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Spacecraft; Fault (geology); Fuzzy logic; Computer science; Hierarchy; Fault detection and isolation; Real-time computing; Satellite; Control engineering; Fuzzy rule; Space exploration; Reliability engineering; Engineering; Fuzzy control system; Artificial intelligence; Aerospace engineering","authors":[{"name":"A. Barua","is_ca":true},{"name":"K. Khorasani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02140223082424079,"gpt":0.2293630962373694,"spread":0.2079608654131287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203832,0.0003995215,0.0004555069,0.001073277,0.0005347642,0.0009557305,0.001064195,0.0006396582,0.001148884],"category_scores_gemma":[0.005090203,0.0002364334,0.0008012371,0.0006716116,0.0009644304,0.0009115609,0.0005036204,0.0006583365,0.0001557449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330492,"about_ca_system_score_gemma":0.00149731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288852,"about_ca_topic_score_gemma":0.01707747,"domain_scores_codex":[0.9991177,0.0001960284,0.00009139765,0.0001493399,0.000371621,0.00007401968],"domain_scores_gemma":[0.9981754,0.001135416,0.0002240091,0.0001503315,0.0002692381,0.00004552827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000133441,0.0001034862,0.002048989,0.000139141,0.00006046711,0.0004330472,0.0004534559,0.8611209,0.006023905,0.0301126,0.0007573311,0.09861319],"study_design_scores_gemma":[0.00001457958,0.00001868701,0.0002704714,0.000009572122,0.0000144938,0.00002687319,0.00002931646,0.985327,0.001375177,0.01254888,0.0003576982,0.000007202424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04028236,0.0001809605,0.9573217,0.0001615584,0.00001569958,0.0001072644,0.0001170003,0.0004407717,0.001372632],"genre_scores_gemma":[0.6654297,0.0001449722,0.3334729,0.00006073476,0.00002002419,0.00009402496,0.0001948099,0.00001160434,0.0005713188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02288852,"threshold_uncertainty_score":0.04551059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064770256","doi":"10.1147/sj.402.0394","title":"Intelligent decision support for protein crystal growth","year":2001,"lang":"en","type":"article","venue":"IBM Systems Journal","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; Queen's University; University Health Network; Ontario Institute for Cancer Research","funders":"University of Pittsburgh","keywords":"Correctness; Computer science; Software; Protein crystallization; Crystallization; Component (thermodynamics); Process (computing); Artificial intelligence; Algorithm; Engineering; Programming language; Chemical engineering","authors":[{"name":"Igor Jurišica","is_ca":true},{"name":"P. Rogers","is_ca":true},{"name":"Janice Glasgow","is_ca":true},{"name":"S. Fortier","is_ca":true},{"name":"Joseph R. Luft","is_ca":false},{"name":"Jennifer R. Wolfley","is_ca":false},{"name":"Melissa A. Bianca","is_ca":false},{"name":"D. R. Weeks","is_ca":false},{"name":"George T. DeTitta","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02873250277522924,"gpt":0.2692422154708109,"spread":0.2405097126955817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004436829,0.001356569,0.001069594,0.002094476,0.001774573,0.003999518,0.002667335,0.001581966,0.007013184],"category_scores_gemma":[0.01308133,0.0006858325,0.00119548,0.001668577,0.001573714,0.004146504,0.002289099,0.001708081,0.001236095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844096,"about_ca_system_score_gemma":0.003309287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112942,"about_ca_topic_score_gemma":0.0153564,"domain_scores_codex":[0.9968901,0.001179825,0.0003365383,0.000509757,0.000809029,0.0002746884],"domain_scores_gemma":[0.9924783,0.005328424,0.0004749227,0.0006189996,0.0008207274,0.0002786586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007023974,0.0005963619,0.003405599,0.0009409501,0.0001712657,0.0007205734,0.0007290805,0.4427691,0.004269861,0.09182923,0.02306803,0.4307976],"study_design_scores_gemma":[0.0001257971,0.00009012565,0.0003684798,0.00008751121,0.00007041467,0.000127058,0.000274047,0.8894868,0.005397331,0.08535549,0.01857461,0.0000422338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03092895,0.001003778,0.9402142,0.003431486,0.0001205951,0.0007035953,0.001278773,0.008284128,0.01403452],"genre_scores_gemma":[0.3616873,0.0008835073,0.6307051,0.0004200305,0.00008289052,0.0006102084,0.001965766,0.0002167499,0.003428539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112942,"threshold_uncertainty_score":0.0234645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1819804398","doi":"10.1186/1472-6947-4-19","title":"Case-based medical informatics","year":2004,"lang":"en","type":"review","venue":"BMC Medical Informatics and Decision Making","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Computer science; Knowledge representation and reasoning; Data science; Context (archaeology); Analytic reasoning; Artificial intelligence; Terminology; Health informatics; Domain knowledge; Knowledge management; Health care; Reasoning system","authors":[{"name":"Stefan V. Pantazi","is_ca":true},{"name":"José F. Arocha","is_ca":true},{"name":"Jochen R. Moehr","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0744431214151241,"gpt":0.3649893685409816,"spread":0.2905462471258575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008593286,0.0008413201,0.0007785722,0.007409464,0.001520026,0.00772715,0.003707515,0.003761368,0.03113393],"category_scores_gemma":[0.02336754,0.0004732975,0.001253195,0.005694351,0.006396604,0.005833713,0.004506741,0.003151982,0.003472467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004405317,"about_ca_system_score_gemma":0.003854182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647071,"about_ca_topic_score_gemma":0.001510337,"domain_scores_codex":[0.9909846,0.004489107,0.001089752,0.0009455475,0.00215864,0.0003323191],"domain_scores_gemma":[0.9823158,0.01269821,0.001527607,0.001420402,0.001482191,0.0005557594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003434027,0.00006579014,0.001437453,0.0009568115,0.00004307506,0.001821826,0.0006912981,0.002729229,0.0001498134,0.8461127,0.04635587,0.09960173],"study_design_scores_gemma":[0.00004191203,0.00002270067,0.0007814671,0.001698153,0.00003332176,0.005824141,0.0004915527,0.005617446,0.0002908961,0.6198749,0.3652866,0.00003688534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00893387,0.05978677,0.3785755,0.07734499,0.003098931,0.002056706,0.003721412,0.001096259,0.4653856],"genre_scores_gemma":[0.3474011,0.04587772,0.5376251,0.01369779,0.004561394,0.002976078,0.006247473,0.000244556,0.04136875],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03113393,"threshold_uncertainty_score":0.1041533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1938618045","doi":"","title":"A fuzzy case-based system for weather prediction","year":2002,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Measure (data warehouse); Construct (python library); Similarity (geometry); Fuzzy logic; Similarity measure; Weather prediction; Data mining; Artificial intelligence; Weather forecasting; Weather patterns; Machine learning; Meteorology","authors":[{"name":"Denis Riordan","is_ca":true},{"name":"Bjarne Hansen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01413757788221626,"gpt":0.2147345997281199,"spread":0.2005970218459037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002066536,0.0008376082,0.0007626885,0.002581245,0.001260531,0.003014659,0.002506144,0.001800879,0.01608413],"category_scores_gemma":[0.007094605,0.0004229018,0.0007464411,0.00186083,0.0007849169,0.002753987,0.001640148,0.0009409138,0.003248391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499625,"about_ca_system_score_gemma":0.001590672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009135257,"about_ca_topic_score_gemma":0.00860789,"domain_scores_codex":[0.9987024,0.0003260695,0.0001750827,0.0002532259,0.0004735581,0.0000695096],"domain_scores_gemma":[0.9988676,0.0005665401,0.00008690567,0.0001641053,0.000238223,0.00007659035],"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":[0.0006319948,0.0006115079,0.003956965,0.0005804363,0.0001890696,0.002155292,0.0007661372,0.2629783,0.00788602,0.1398797,0.04009968,0.5402649],"study_design_scores_gemma":[0.0001393634,0.0000728766,0.0004721704,0.0001079837,0.00007870932,0.0003955682,0.00008085612,0.9203879,0.003604362,0.03891551,0.03568342,0.00006121557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01347117,0.0004668375,0.957561,0.00093568,0.0001942506,0.0007082735,0.001686032,0.009386129,0.01559053],"genre_scores_gemma":[0.2466066,0.0005268233,0.7430241,0.0001990348,0.00008711686,0.0008218896,0.002257404,0.0001387278,0.006338297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01608413,"threshold_uncertainty_score":0.05380678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}