{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"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":"dc03d5abaf91","filters":{"venue":"Artificial Intelligence and Law"}},"results":[{"id":"W1982329760","doi":"10.1023/b:arti.0000046007.11806.9a","title":"Towards a Formal Account of Reasoning about Evidence: Argumentation Schemes and Generalisations","year":2003,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":192,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Argumentation theory; Defeasible reasoning; Defeasible estate; Underpinning; Epistemology; Probabilistic argumentation; Computer science; Empirical evidence; Deductive reasoning; Model-based reasoning; Artificial intelligence; Cognitive science; Psychology; Philosophy; Engineering; Knowledge representation and reasoning","authors":[{"name":"Floris Bex","is_ca":false},{"name":"Henry Prakken","is_ca":false},{"name":"Chris Reed","is_ca":false},{"name":"Douglas Walton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09223170808788776,"gpt":0.3304854798686168,"spread":0.238253771780729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004652344,0.00008098004,0.0001057915,0.00004972174,0.0001927247,0.0001455894,0.0001031539,0.00004164474,0.00001953474],"category_scores_gemma":[0.0000786195,0.00007310703,0.00002449206,0.0001534523,0.00007060725,0.00116317,0.00003825733,0.00004524573,0.000005601882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001389291,"about_ca_system_score_gemma":0.00003221407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005258329,"about_ca_topic_score_gemma":0.0001622167,"domain_scores_codex":[0.9991362,0.00005521409,0.0002943372,0.0002027484,0.0001650569,0.0001464476],"domain_scores_gemma":[0.9995431,0.00005558687,0.0001140656,0.000149379,0.00008857319,0.0000493204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003042268,0.00001782264,0.0007515706,0.00001920376,0.000006569777,4.935931e-7,0.002013969,0.0001126191,0.004290808,0.960088,0.000009403808,0.03268649],"study_design_scores_gemma":[0.0001290397,0.0002843799,0.005964165,0.0004368433,0.00004189112,0.00003457463,0.00211474,0.2301173,0.6862845,0.06984866,0.004201346,0.0005425281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3415566,0.0006743489,0.6566121,0.0001926835,0.0001743774,0.0001565303,0.000001335514,0.00002329526,0.0006087364],"genre_scores_gemma":[0.9852991,0.0002018933,0.01429901,0.0001272131,0.00003354331,0.00001253019,0.00000136876,0.00000319379,0.00002216369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902394,"threshold_uncertainty_score":0.2981218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1531887372","doi":"10.1023/a:1013803600690","title":"Douglas Walton, The New Dialectic. Conversational Contexts of Argument. Toronto: University of Toronto Press (Book Review)","year":2001,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Political science","authors":[{"name":"Bart Verheij","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03570576855092915,"gpt":0.2717127328523034,"spread":0.2360069643013742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545641,0.00007918794,0.0001584516,0.000003094898,0.0001049908,0.00001980476,0.0003105711,0.0000354671,0.0005481735],"category_scores_gemma":[0.0000193542,0.00006401534,0.0000529479,0.00003533539,0.0001000214,0.0005499054,0.00006919287,0.00003318787,0.000008984221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004297985,"about_ca_system_score_gemma":0.00004262695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04788391,"about_ca_topic_score_gemma":0.02158021,"domain_scores_codex":[0.9991621,0.00008049604,0.0002724467,0.0001805756,0.0001906526,0.0001137317],"domain_scores_gemma":[0.9992757,0.0001124156,0.0001813969,0.0002604845,0.0001138814,0.00005606122],"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":[0.00006235912,0.0001399964,0.0001645766,0.0001483703,0.00006559498,0.00000371771,0.006002612,0.00006815482,0.001100168,0.8782833,0.03095462,0.08300649],"study_design_scores_gemma":[0.0001612818,0.000242678,0.0008279436,0.0004292661,0.00006302907,0.0000102866,0.0005466297,0.01088871,0.02105358,0.003357553,0.9621447,0.0002743026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00378436,0.3770135,0.5789651,0.005404468,0.002295331,0.002069984,0.00001750444,0.0001036731,0.0303461],"genre_scores_gemma":[0.9333723,0.06211106,0.0005708393,0.001191519,0.0001830999,0.000002478696,0.000004702879,0.000006194346,0.002557842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9311901,"threshold_uncertainty_score":0.9962734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039190550","doi":"10.1007/s10506-010-9093-9","title":"Evaluation of information retrieval for E-discovery","year":2010,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Open Text (Canada)","funders":"","keywords":"Computer science; Information retrieval; Data science; Context (archaeology); Precision and recall; Question answering","authors":[{"name":"Douglas W. Oard","is_ca":false},{"name":"Jason R. Baron","is_ca":false},{"name":"Bruce Hedin","is_ca":false},{"name":"David Lewis","is_ca":false},{"name":"Stephen Tomlinson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07755438895016285,"gpt":0.3380923055011545,"spread":0.2605379165509917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930998,0.00005820594,0.00007553308,0.00007266951,0.000118969,0.0002063808,0.0002092739,0.00005728098,0.0000206019],"category_scores_gemma":[0.0002726969,0.0000503968,0.00003714559,0.0001913098,0.00009592762,0.002761699,0.00004847725,0.0000870203,0.00002098593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009563576,"about_ca_system_score_gemma":0.00009871759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004704238,"about_ca_topic_score_gemma":0.00005265773,"domain_scores_codex":[0.9989694,0.00002496466,0.0003185104,0.00008493639,0.000477212,0.0001249339],"domain_scores_gemma":[0.998844,0.00008057685,0.00009695977,0.0001778993,0.0007588587,0.00004165886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001488396,0.00001406113,0.000006139953,0.000007031804,0.000002502917,2.75796e-8,0.000528876,0.000038605,0.003750851,0.7896446,0.000012155,0.2059803],"study_design_scores_gemma":[0.00007369622,0.0001781936,0.0002084514,0.000007760588,0.00002386083,0.000003334905,0.0002404679,0.2896822,0.5024339,0.2039177,0.003100448,0.000129982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2678267,0.00001164658,0.7283528,0.0003851154,0.0005357733,0.0004692393,0.0000116559,0.00003210266,0.002374971],"genre_scores_gemma":[0.9952688,0.000003520725,0.004515744,0.0001431238,0.00003592514,0.0000110162,0.000008169855,0.000001501804,0.00001219499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7274421,"threshold_uncertainty_score":0.2055122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4290738699","doi":"10.1007/s10506-022-09327-6","title":"Thirty years of artificial intelligence and law: the third decade","year":2022,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thomson Reuters (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Artificial intelligence; Variety (cybernetics); Legal aspects of computing; Philosophy of law; Computer science; Feature (linguistics); Symbolic artificial intelligence; Law; The Internet; Political science; Artificial intelligence, situated approach; Comparative law; World Wide Web; Linguistics","authors":[{"name":"Serena Villata","is_ca":false},{"name":"Michał Araszkiewicz","is_ca":false},{"name":"Kevin D. Ashley","is_ca":false},{"name":"Trevor Bench‐Capon","is_ca":false},{"name":"L. Karl Branting","is_ca":false},{"name":"Jack G. Conrad","is_ca":true},{"name":"Adam Wyner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08892713967190774,"gpt":0.3503653536279308,"spread":0.261438213956023,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003060369,0.0002858772,0.0004132644,0.0001189912,0.00309997,0.0002987279,0.000976895,0.0001779033,0.0009006709],"category_scores_gemma":[0.0004142363,0.0002681222,0.0001569903,0.0008579988,0.005355694,0.0004615102,0.0005682901,0.0007184609,0.00009753275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009517078,"about_ca_system_score_gemma":0.0001780045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02266691,"about_ca_topic_score_gemma":0.02865338,"domain_scores_codex":[0.9958107,0.0006846428,0.001036055,0.0006846974,0.001012335,0.0007715848],"domain_scores_gemma":[0.997419,0.001277779,0.0003256998,0.0005303835,0.0001989016,0.0002482507],"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":[0.00007370507,0.000125275,0.00008209418,0.000008413474,0.00002503787,0.00001291088,0.01975599,0.0005086128,0.0004880784,0.8469633,0.0000995368,0.131857],"study_design_scores_gemma":[0.00001141343,0.0003190225,0.00005028195,0.00002821992,0.00006476152,0.00001425613,0.07376873,0.002189254,0.02707734,0.8116747,0.08431356,0.0004884973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8234558,0.003950419,0.02510182,0.02370708,0.005194908,0.003699129,0.0002127996,0.0006177367,0.1140604],"genre_scores_gemma":[0.9968623,0.0004073594,0.0003756344,0.001616357,0.000403557,0.00007899989,0.000005172448,0.00003163347,0.0002190126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1734065,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2080571997","doi":"10.1007/s10506-012-9132-9","title":"The epistemology of scientific evidence","year":2012,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Epistemology; Scientific evidence; Argument (complex analysis); Credibility; Sociology of scientific knowledge; Empirical evidence; Component (thermodynamics); Sociology; Computer science; Philosophy","authors":[{"name":"Douglas Walton","is_ca":true},{"name":"Nanning Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1927456213403144,"gpt":0.4056515266181242,"spread":0.2129059052778098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004418465,0.0001264441,0.0001781688,0.00005331848,0.002659685,0.0002488944,0.0005167465,0.0001220736,0.0002172722],"category_scores_gemma":[0.001320874,0.00009673363,0.00007986568,0.0005034528,0.007768183,0.0007349232,0.0001130495,0.0001649801,0.000270009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004348136,"about_ca_system_score_gemma":0.0001144169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467623,"about_ca_topic_score_gemma":0.01418799,"domain_scores_codex":[0.9976211,0.0003879644,0.000557641,0.0002566699,0.0004556497,0.0007210303],"domain_scores_gemma":[0.9970446,0.001916892,0.0001777072,0.0003701712,0.0002719089,0.000218731],"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":[0.00002154358,0.00004561626,0.00111978,0.000005335679,0.000007451944,5.87855e-7,0.007983495,0.000005445069,0.001033955,0.9227421,0.0001182896,0.06691637],"study_design_scores_gemma":[0.000009095726,0.0001409002,0.0003639561,0.0001102274,0.00004743375,0.000006655665,0.03091561,0.0002069334,0.1299115,0.5063998,0.3314808,0.0004071628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571389,0.01195902,0.007978884,0.01474947,0.008898391,0.001272713,0.000009441726,0.0002103046,0.09778283],"genre_scores_gemma":[0.9980025,0.000411822,0.0002026186,0.0001610151,0.0004239951,0.00001774583,5.990354e-7,0.000009759249,0.0007699318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4163424,"threshold_uncertainty_score":0.9986387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361271390","doi":"10.1007/s10506-023-09353-y","title":"The use of AI in legal systems: determining independent contractor vs. employee status","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Independent contractor; Equity (law); Common law; Labour law; Sample (material); Variety (cybernetics); Business; Legal case; Legal advice; Legal profession; Law; Political science; Actuarial science; Artificial intelligence; Computer science; Engineering","authors":[{"name":"Maxime C. Cohen","is_ca":true},{"name":"Samuel Dahan","is_ca":true},{"name":"Warut Khern-am-nuai","is_ca":true},{"name":"Hajime Shimao","is_ca":true},{"name":"Jonathan Touboul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09575145007591922,"gpt":0.3239571614963208,"spread":0.2282057114204015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005280066,0.00005848451,0.0001066432,0.00004733567,0.0002939794,0.0004252965,0.00009256687,0.00005498751,0.000006415135],"category_scores_gemma":[0.0001014937,0.00004748008,0.00002755018,0.0002271606,0.0002916599,0.000954214,0.00001567206,0.00009643399,0.0000330303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426718,"about_ca_system_score_gemma":0.0000693697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00862354,"about_ca_topic_score_gemma":0.0425061,"domain_scores_codex":[0.9990612,0.00006753439,0.0003465662,0.0001033946,0.0001477352,0.0002735187],"domain_scores_gemma":[0.9993802,0.000385645,0.00005638804,0.00007286573,0.00004636671,0.00005847399],"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":[0.00004015072,0.00001595187,0.003966531,0.000008268117,0.000007092405,0.000004755371,0.006299885,0.0005915555,0.00001542897,0.8762602,0.00004687894,0.1127434],"study_design_scores_gemma":[0.0001360258,0.0003005295,0.01227602,0.0002794174,0.00002461983,0.000002309104,0.05923679,0.01147418,0.003592565,0.04840038,0.863721,0.0005562112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924906,0.00006379875,0.0004920989,0.0007799708,0.0004359866,0.0002905077,0.00001125134,0.00004552422,0.005390227],"genre_scores_gemma":[0.9994607,0.0002283457,0.000005336914,0.0001179669,0.00004294882,0.00001395255,0.000002953609,0.000003842297,0.0001239271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.863674,"threshold_uncertainty_score":0.9979781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071805340","doi":"10.1007/s10506-006-9014-0","title":"Persuasion Dialogue in Online Dispute Resolution","year":2005,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Persuasion; Negotiation; Argumentation theory; Online dispute resolution; Resolution (logic); Dispute resolution; Legal aspects of computing; Computer science; Conflict resolution; Alternative dispute resolution; Epistemology; Political science; Social psychology; Psychology; The Internet; World Wide Web; Artificial intelligence; Law; Philosophy","authors":[{"name":"Douglas Walton","is_ca":true},{"name":"David Godden","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07303214965820533,"gpt":0.3044647238258081,"spread":0.2314325741676028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609058,0.00008544594,0.0001010256,0.00007048975,0.0001111643,0.00008541474,0.0001820092,0.00005856626,0.00001229989],"category_scores_gemma":[0.00002026222,0.00007718089,0.0000277015,0.0001951132,0.0000448268,0.0005228136,0.00007077763,0.00008647846,0.0000802398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003354721,"about_ca_system_score_gemma":0.00001178371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008756744,"about_ca_topic_score_gemma":0.006470386,"domain_scores_codex":[0.9990689,0.00005420688,0.0002866836,0.0002719364,0.0001324261,0.0001858623],"domain_scores_gemma":[0.9996248,0.00004477927,0.00005300292,0.000192877,0.00002884533,0.00005563908],"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":[0.000009097911,0.0001522917,0.0003214552,0.000006554274,0.000002317201,0.000004258761,0.001908914,0.001235644,0.002131603,0.7517889,0.00005621308,0.2423828],"study_design_scores_gemma":[0.000076541,0.0001278404,0.004788415,0.0000759005,0.00000423588,0.000009165557,0.0003545501,0.945737,0.01575524,0.01653364,0.01623254,0.0003049108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3925534,0.0003267115,0.6016152,0.003641336,0.0004838437,0.0002645836,0.000004894127,0.00009931289,0.001010679],"genre_scores_gemma":[0.9953518,0.00007463894,0.003952029,0.0003569556,0.0002040452,0.000005367446,0.000007851881,0.000003833333,0.00004349738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9445014,"threshold_uncertainty_score":0.3610627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046836002","doi":"10.1007/s10506-012-9120-0","title":"A Carneades reconstruction of Popov v Hayashi","year":2012,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Argument (complex analysis); Argument map; Computer science; Legal aspects of computing; Visualization; Epistemology; Artificial intelligence; The Internet; World Wide Web; Philosophy","authors":[{"name":"Thomas F. Gordon","is_ca":false},{"name":"Douglas Walton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07958655965729128,"gpt":0.2932689512155651,"spread":0.2136823915582738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702553,0.00006535197,0.0001010656,0.0000424498,0.00008812016,0.00004354808,0.0001234414,0.00004559911,0.00002906436],"category_scores_gemma":[0.00001707038,0.00005756766,0.00003134069,0.0001323889,0.00007625514,0.0006114738,0.00003801619,0.00004531907,0.00003994645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008541031,"about_ca_system_score_gemma":0.000008332844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004723989,"about_ca_topic_score_gemma":0.0001005663,"domain_scores_codex":[0.9993171,0.00004028937,0.0002454503,0.0001332721,0.0001055166,0.0001583689],"domain_scores_gemma":[0.9995917,0.00004296705,0.00009028012,0.0001669748,0.00004465881,0.00006343838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002649752,0.00003420033,0.00170101,0.00001226879,0.000005676833,2.259944e-7,0.001760777,0.00001147476,0.005588973,0.8338405,0.00001917383,0.157023],"study_design_scores_gemma":[0.0000489146,0.0001628053,0.003301501,0.0001028681,0.00002002935,0.00007105782,0.001507076,0.02905405,0.9118618,0.04956413,0.003905806,0.0003999643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4522581,0.000532661,0.5400807,0.0002959313,0.001383636,0.0001978285,0.000002229863,0.00007355558,0.005175379],"genre_scores_gemma":[0.9965137,0.00002029042,0.003236014,0.00006462072,0.0001238828,0.000004075564,6.72517e-7,0.00000284516,0.00003396254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062728,"threshold_uncertainty_score":0.2347541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366823452","doi":"10.1007/s10506-023-09357-8","title":"A Bayesian model of legal syllogistic reasoning","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; CRÉ de Montréal","funders":"Australian Research Council; European Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Syllogism; Philosophy of law; Legal aspects of computing; Computer science; Artificial intelligence; Bayesian probability; Political science; Epistemology; Law; Philosophy; The Internet; World Wide Web","authors":[{"name":"Axel Constant","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1316490107469678,"gpt":0.3764715078871092,"spread":0.2448224971401414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223758,0.0001545622,0.0002511677,0.0001287854,0.000770875,0.00013259,0.0003371326,0.0001487284,0.0001720229],"category_scores_gemma":[0.0006155161,0.0001595693,0.00009073102,0.0007706296,0.001892823,0.0004314486,0.00009628339,0.0001767376,0.0002215651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819363,"about_ca_system_score_gemma":0.0001506972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00886765,"about_ca_topic_score_gemma":0.01351813,"domain_scores_codex":[0.9979861,0.0001280441,0.0005330861,0.000361411,0.000431405,0.0005599073],"domain_scores_gemma":[0.9989101,0.000357462,0.0001272058,0.0002499914,0.0001683162,0.0001869784],"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":[0.00002195465,0.00003406388,0.000120021,0.00001061769,0.000009951953,0.000009158143,0.005228612,0.007592143,0.001007801,0.9677219,0.00011514,0.0181286],"study_design_scores_gemma":[0.0000102119,0.00008430292,0.000009287637,0.00007095147,0.0000294372,0.000001451559,0.01719268,0.2855651,0.02346666,0.6676499,0.00559955,0.0003205033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2557,0.0002849375,0.4057881,0.007612343,0.001623305,0.001244689,0.00006301684,0.001232124,0.3264515],"genre_scores_gemma":[0.9976239,0.0001725139,0.0009851442,0.0001862296,0.0001970934,0.00001846632,0.000004284508,0.00001913602,0.0007932483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7419239,"threshold_uncertainty_score":0.9977324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124147503","doi":"10.1007/s10506-019-09249-w","title":"When expert opinion evidence goes wrong","year":2019,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Argument (complex analysis); Appeal; Computer science; Jury; Epistemology; Argumentation framework; Probabilistic argumentation; Artificial intelligence; Law; Political science; Philosophy","authors":[{"name":"Douglas Walton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1204116196810357,"gpt":0.3305491665304403,"spread":0.2101375468494046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003143366,0.000110865,0.0001296883,0.00004187437,0.0001270889,0.0002401641,0.0003580609,0.00005915595,0.0001170426],"category_scores_gemma":[0.00002568994,0.00009466134,0.000040487,0.0001095487,0.0000466583,0.001051507,0.0001213956,0.00007111021,0.000646738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182084,"about_ca_system_score_gemma":0.00001785296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008679962,"about_ca_topic_score_gemma":0.0001127245,"domain_scores_codex":[0.9988817,0.00005948613,0.0002718784,0.0003755087,0.0002055354,0.0002059138],"domain_scores_gemma":[0.9992961,0.0001341445,0.0000757945,0.000366749,0.00005475295,0.00007243819],"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":[0.000009023499,0.000036641,0.0006233079,0.00002196917,0.000007423334,0.00000185277,0.003998172,0.00009813009,0.007157727,0.8813621,0.0003952337,0.1062884],"study_design_scores_gemma":[0.0001215706,0.0007397294,0.002138001,0.00110551,0.000008005505,0.00003721959,0.00195563,0.4251558,0.2993013,0.1280897,0.1399634,0.001384116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0686581,0.003062476,0.9163857,0.004021405,0.003357338,0.0006380419,0.000001326841,0.0002226469,0.003652939],"genre_scores_gemma":[0.9963598,0.0002903389,0.002383216,0.0005872386,0.0001706926,0.00001100793,0.000001080366,0.000005652467,0.0001909763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9277017,"threshold_uncertainty_score":0.8312724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061085701","doi":"10.1007/s10506-013-9151-1","title":"Baseballs and arguments from fairness","year":2013,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Argumentation theory; Argument (complex analysis); Economic Justice; Epistemology; Computer science; Scheme (mathematics); Legal aspects of computing; Philosophy of law; Informal logic; Basis (linear algebra); Mathematical economics; Mathematics; Law; Political science; Philosophy; The Internet","authors":[{"name":"Douglas Walton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04394982316286884,"gpt":0.2628262240864747,"spread":0.2188764009236059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107477,0.0000920227,0.0001041953,0.00002697942,0.0001370692,0.0003306752,0.0001725205,0.00004609472,0.0001290771],"category_scores_gemma":[0.000009810977,0.00007843627,0.00001800294,0.00007920514,0.00005736412,0.0006542833,0.0000954237,0.00004953728,0.0002895679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006990663,"about_ca_system_score_gemma":0.000006207713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457866,"about_ca_topic_score_gemma":0.0002788765,"domain_scores_codex":[0.9991856,0.00003690002,0.0002092757,0.0002888202,0.0001245033,0.0001549025],"domain_scores_gemma":[0.9995439,0.00007034589,0.00005217377,0.0002006739,0.00004179658,0.00009109132],"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":[0.00000271348,0.00005990641,0.001564657,0.000009885534,0.00001523061,0.000003726906,0.001578021,0.00001613972,0.007250718,0.7629002,0.0002143819,0.2263845],"study_design_scores_gemma":[0.0001320768,0.0001926065,0.01997385,0.0001247939,0.00002054618,0.00001012149,0.001018895,0.30715,0.1820676,0.4809015,0.00759184,0.0008161319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273139,0.0001936542,0.4692971,0.0009337215,0.0004177567,0.0002819989,0.000003356911,0.00007005435,0.001488378],"genre_scores_gemma":[0.9972875,0.00003204907,0.002016104,0.000468092,0.00007094294,0.00001648939,0.000002844205,0.000003847058,0.0001021171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4699735,"threshold_uncertainty_score":0.6921595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092547615","doi":"10.1007/s10506-009-9082-z","title":"Meta-relation and ontology closure in Conceptual Structure Theory","year":2009,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Relation (database); Computer science; Process ontology; Formal ontology; Upper ontology; Closure (psychology); Ontology Inference Layer; Suggested Upper Merged Ontology; Rotation formalisms in three dimensions; Knowledge representation and reasoning; Theoretical computer science; Information retrieval; Epistemology; Mathematics; Artificial intelligence; Semantic Web; Data mining; OWL-S","authors":[{"name":"Philip H. P. Nguyen","is_ca":true},{"name":"Ken Kaneiwa","is_ca":false},{"name":"Dan Corbett","is_ca":false},{"name":"Minh‐Quang Nguyen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08347819137130967,"gpt":0.293510902390329,"spread":0.2100327110190193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399873,0.0001049523,0.0002017644,0.00004818854,0.00008559394,0.00007559486,0.0001793769,0.00009859151,0.00002824587],"category_scores_gemma":[0.00003881047,0.00007909245,0.00002983203,0.0001253616,0.0002599081,0.000306521,0.00004159255,0.0001227339,0.000004980734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005618873,"about_ca_system_score_gemma":0.000013931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192111,"about_ca_topic_score_gemma":0.001295043,"domain_scores_codex":[0.9991606,0.00009829912,0.0002112346,0.0002720695,0.00008083726,0.0001769263],"domain_scores_gemma":[0.9995472,0.0001817624,0.00004333358,0.0001654429,0.00002454647,0.00003774704],"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":[0.00001044945,0.0000125253,0.0002956091,0.000001151534,0.00001855763,0.000009125907,0.001917064,0.00003985806,0.0002933529,0.9351823,0.000005346914,0.06221469],"study_design_scores_gemma":[0.00002671727,0.0001423592,0.005589348,0.000004485431,0.00003851569,0.00001895112,0.0006272456,0.002542724,0.007128573,0.9834158,0.0003432041,0.0001220144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7970073,0.004883087,0.1891287,0.005025318,0.000328698,0.0002382794,0.000002648324,0.0001184755,0.003267524],"genre_scores_gemma":[0.9965286,0.00004413804,0.00221231,0.001161467,0.00002954847,0.000001736005,8.92159e-7,0.000001722069,0.00001964847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1995212,"threshold_uncertainty_score":0.3225297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319659350","doi":"10.1007/s10506-023-09346-x","title":"Correction: Using attention methods to predict judicial outcomes","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Philosophy of law; Computer science; Legal aspects of computing; Artificial intelligence; Cognitive psychology; Psychology; Political science; Law; The Internet; Comparative law; World Wide Web","authors":[{"name":"Vithor Gomes Ferreira Bertalan","is_ca":true},{"name":"Evandro Eduardo Seron Ruiz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1992209616846759,"gpt":0.4873160492234294,"spread":0.2880950875387535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001789141,0.00008462102,0.0001613723,0.0001479274,0.0008688497,0.0001287118,0.0001052485,0.00005972023,0.0001673189],"category_scores_gemma":[0.00042869,0.00008085361,0.00008786761,0.00108667,0.0001923918,0.0001579731,0.00005642002,0.0000786519,0.000152813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003444964,"about_ca_system_score_gemma":0.00004764966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005719305,"about_ca_topic_score_gemma":0.004609346,"domain_scores_codex":[0.9986407,0.0003562919,0.000262762,0.0002398916,0.0002636114,0.000236739],"domain_scores_gemma":[0.9990451,0.0005817831,0.00005079202,0.00008145258,0.0001149362,0.0001259544],"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":[0.00001455568,0.00003136743,0.002971101,0.0000029078,0.00003660146,0.000003689154,0.003911223,0.002627455,0.0007067805,0.4350428,0.0004073928,0.5542442],"study_design_scores_gemma":[0.00004520413,0.0001453048,0.0193273,0.00006594549,0.0001735022,0.000003446744,0.02069762,0.1829375,0.00424645,0.6906331,0.0810736,0.0006510242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1651988,0.00004098542,0.8104962,0.004432467,0.004065492,0.0002874026,0.000003689652,0.0002942659,0.01518073],"genre_scores_gemma":[0.9784701,0.00002287438,0.01874143,0.000529199,0.0006142633,0.00001135717,0.000005589134,0.000009179835,0.001595988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8132713,"threshold_uncertainty_score":0.8645916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412173123","doi":"10.1007/s10506-025-09464-8","title":"The compliance gap in data supply chains: contract specification languages and smart contracts as compliance technologies","year":2025,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec en Outaouais; University of Ottawa","funders":"Social Sciences and Humanities Research Council; Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Compliance (psychology); Business; Supply chain; Computer science; Accounting; Marketing","authors":[{"name":"Pablo Marcello Baquero","is_ca":false},{"name":"David Restrepo Amariles","is_ca":false},{"name":"Daniel Amyot","is_ca":true},{"name":"Amal Ahmed Anda","is_ca":true},{"name":"Mustafa Bayirli","is_ca":true},{"name":"Luigi Logrippo","is_ca":true},{"name":"John Mylopoulos","is_ca":true},{"name":"Alireza Parvizimosaed","is_ca":true},{"name":"Aidin Rasti","is_ca":true},{"name":"Marco Roveri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09527793556201541,"gpt":0.3561852737757609,"spread":0.2609073382137455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257884,0.0001272606,0.0001660121,0.0000706764,0.0004439263,0.0002482616,0.001288932,0.0001241011,0.00000206966],"category_scores_gemma":[0.0001620453,0.0001024535,0.00001308001,0.000428257,0.0007847362,0.0002670774,0.0004676344,0.0002768778,0.00001929396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001583062,"about_ca_system_score_gemma":0.00002939526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005076256,"about_ca_topic_score_gemma":0.003824532,"domain_scores_codex":[0.9987739,0.00004120423,0.0003160114,0.0005159742,0.00009088077,0.0002620166],"domain_scores_gemma":[0.9983011,0.0004256542,0.0000869551,0.001096741,0.00006430723,0.0000252665],"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":[0.000006267,0.00003613898,0.0002710839,0.00000557582,0.000004973532,0.000003261936,0.00009476691,0.000001550617,0.0003116431,0.7264,0.00005727852,0.2728075],"study_design_scores_gemma":[0.00008939344,0.00005169261,0.00469834,0.0001566553,0.000008722952,0.00002131001,0.002382264,0.1077914,0.02221973,0.8197564,0.04254116,0.0002829763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331774,0.04430416,0.5559556,0.2459647,0.0006349877,0.002849538,0.00007676542,0.001667716,0.01536909],"genre_scores_gemma":[0.9956688,0.001941656,0.001709037,0.0005438482,0.00001137478,0.00005251353,0.000006577003,0.000003408249,0.00006280332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8624914,"threshold_uncertainty_score":0.4177933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}