{"meta":{"query_hash":"2576463169b7","filters":{"venue":"Games"},"cohort_total":46,"direct_labels_cover":0,"predictions_cover":46,"exported":46,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2576463169b7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Games"},"results":[{"id":"W1554333118","doi":"10.3390/g6030191","title":"The Loser’s Bliss in Auctions with Price Externality","year":2015,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"Common value auction; Economics; Microeconomics; Externality; Incentive; Bidding; Vickrey–Clarke–Groves auction; Auction theory","score_opus":0.1727899854169294,"score_gpt":0.4138118570876749,"score_spread":0.24102187167074549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554333118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88942784,0.00026615194,0.041035,0.013654224,0.00034434837,0.00026823394,0.00000834828,0.00007215794,0.054923713],"genre_scores_gemma":[0.9816578,0.0000063522757,0.00037719324,0.00012561327,0.000070649905,0.00003911903,4.1472506e-7,0.0000031940795,0.017719662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889493,0.00014195043,0.00021719238,0.00018932323,0.000437718,0.00011889633],"domain_scores_gemma":[0.9987073,0.00048209092,0.00009840756,0.0004689137,0.00016468967,0.00007859434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002008502,0.00005235527,0.00007370356,0.000054115273,0.00017014288,0.00016378216,0.00041767972,0.000022152957,0.000091799404],"category_scores_gemma":[0.00068303413,0.00002651977,0.000023321669,0.00067741587,0.00017614692,0.00020920056,0.000046820183,0.00009305985,0.00044756843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025563475,0.0002925244,0.0886449,0.0000018932487,0.00002495062,0.00000788382,0.0055476865,0.0027257153,0.00013229129,0.70416397,0.06909295,0.12910962],"study_design_scores_gemma":[0.00019775717,0.000023297855,0.053472325,0.0000036506578,0.000002616812,0.000017231594,0.0042295344,0.00016455968,0.00020645211,0.42144722,0.5201672,0.000068213456],"about_ca_topic_score_codex":0.00003761402,"about_ca_topic_score_gemma":0.00018485145,"teacher_disagreement_score":0.4510742,"about_ca_system_score_codex":0.000023977558,"about_ca_system_score_gemma":0.00006384752,"threshold_uncertainty_score":0.5752736},"labels":[],"label_agreement":null},{"id":"W1786426645","doi":"10.3390/g6030318","title":"Strong Migration Limit for Games in Structured Populations: Applications to Dominance Hierarchy and Set Structure","year":2015,"lang":"en","type":"article","venue":"Games","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stochastic game; Mathematics; Pairwise comparison; Population; Limit (mathematics); Selection (genetic algorithm); Mathematical economics; Hierarchy; Combinatorics; Statistics; Computer science; Economics; Demography","score_opus":0.056073409216696145,"score_gpt":0.3492454757804752,"score_spread":0.2931720665637791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1786426645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769498,0.0007097604,0.01521775,0.004738339,0.00016427261,0.0014325785,0.00013106738,0.0000592448,0.00059716805],"genre_scores_gemma":[0.99125296,0.000029398509,0.0072676926,0.00014527538,0.00023203653,0.00025263225,0.000094851224,0.0000071469162,0.000718007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916804,0.00011956155,0.00016801264,0.00021465252,0.0001512508,0.00017851175],"domain_scores_gemma":[0.9995251,0.000068149995,0.00005212791,0.0001228399,0.00012880113,0.000102962484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030300673,0.00008550569,0.00010907496,0.00009755969,0.0002416773,0.000067273446,0.00010630763,0.000081140955,0.000017512131],"category_scores_gemma":[0.0002341238,0.000085947315,0.000018907684,0.00028704407,0.00009365832,0.0003169926,0.000018344426,0.00006477482,0.0000034218194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017235805,0.0000334193,0.02598864,0.000020034111,0.000009747863,3.9709454e-7,0.03645091,0.004274089,0.0008421683,0.8692458,0.003342597,0.059619807],"study_design_scores_gemma":[0.0014182868,0.00021665344,0.12511618,0.000058487138,0.00003679344,0.0000037590426,0.021976955,0.0022438618,0.0004813377,0.55069447,0.2971842,0.0005690319],"about_ca_topic_score_codex":0.0003007732,"about_ca_topic_score_gemma":0.019407095,"teacher_disagreement_score":0.31855136,"about_ca_system_score_codex":0.00009622887,"about_ca_system_score_gemma":0.00012374276,"threshold_uncertainty_score":0.99848616},"labels":[],"label_agreement":null},{"id":"W2111925963","doi":"10.3390/g2030277","title":"Voluntary versus Enforced Team Effort","year":2011,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Remuneration; Incentive; Business; Turnover; Microeconomics; Economics; Actuarial science; Finance; Management","score_opus":0.07296792968644603,"score_gpt":0.32876823183456316,"score_spread":0.2558003021481171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111925963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5507509,0.0001227884,0.0000010794703,0.00004541084,0.00057492324,0.00008292306,0.0000019900267,0.00006253656,0.44835743],"genre_scores_gemma":[0.99531394,0.00008178871,0.00069495756,0.000082512095,0.00011088134,0.00002362989,0.0000020061782,0.000007690026,0.0036825885],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942344,0.000015224994,0.00010447038,0.00013773786,0.000090137066,0.00022895659],"domain_scores_gemma":[0.99974597,0.000019336521,0.000036321268,0.00011242554,0.000017201648,0.000068734495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117943615,0.000072422685,0.00010192902,0.000027074011,0.00023502875,0.000016368063,0.00016958085,0.000044476754,0.0008045849],"category_scores_gemma":[0.000018187522,0.00007376735,0.000053331973,0.00005176515,0.00025138893,0.00016297257,0.0000672465,0.000050225604,0.00034745497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003971154,0.00025039603,0.5204963,0.000009050082,0.0001552951,0.000016833692,0.28481182,9.455495e-7,0.0010684349,0.12939736,0.041756216,0.021640237],"study_design_scores_gemma":[0.0034231497,0.00087294175,0.17808026,0.00003775961,0.00014095134,0.0000018443455,0.22382341,0.000017142043,0.03270709,0.004535264,0.5548981,0.0014620995],"about_ca_topic_score_codex":0.010989344,"about_ca_topic_score_gemma":0.0028264408,"teacher_disagreement_score":0.5131419,"about_ca_system_score_codex":0.00011903211,"about_ca_system_score_gemma":0.00003991941,"threshold_uncertainty_score":0.9955966},"labels":[],"label_agreement":null},{"id":"W2161692260","doi":"10.3390/g4010089","title":"Group Size, Coordination, and the Effectiveness of Punishment in the Voluntary Contributions Mechanism: An Experimental Investigation","year":2013,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Guelph","funders":"Zhejiang University","keywords":"Punishment (psychology); Turnover; Liberian dollar; Context (archaeology); Economics; Public good; Per capita; Microeconomics; Incentive; Social psychology; Coordination game; Psychology; Demography; Population","score_opus":0.013160035733409417,"score_gpt":0.29395128703782497,"score_spread":0.28079125130441557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161692260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960351,0.00033919772,0.00001141091,0.0018150496,0.000079906116,0.00094640756,0.000006353501,0.000011418326,0.00075514585],"genre_scores_gemma":[0.9992289,0.000027650087,0.00007583566,0.0001316592,0.000021616752,0.00048803075,0.000006468575,0.0000032287237,0.00001660497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986653,0.0008457325,0.00014092519,0.00011497726,0.00011725532,0.00011584985],"domain_scores_gemma":[0.99920845,0.0005599978,0.00006163827,0.000093857525,0.000047938374,0.000028101775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014004888,0.00006513061,0.00012314679,0.000020647536,0.0002962813,0.00005812407,0.00014203781,0.000032510576,0.000028756052],"category_scores_gemma":[0.00010694401,0.000042364576,0.000023992483,0.00009462176,0.00071706856,0.00031318417,0.000046080706,0.000052941865,0.0000028736908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043178607,0.00014219139,0.04383514,0.000005750097,0.000013977765,2.9628575e-7,0.04955017,0.0000011479295,0.038675938,0.8674265,0.00012874606,0.0001769427],"study_design_scores_gemma":[0.003326239,0.00027752577,0.46483782,0.000048433783,0.000034561534,0.0000016325062,0.26117432,0.00011114491,0.07821287,0.19157214,0.00016304247,0.00024027616],"about_ca_topic_score_codex":0.015642751,"about_ca_topic_score_gemma":0.0011519816,"teacher_disagreement_score":0.6758544,"about_ca_system_score_codex":0.00011421049,"about_ca_system_score_gemma":0.000020325879,"threshold_uncertainty_score":0.99091214},"labels":[],"label_agreement":null},{"id":"W2256962248","doi":"10.3390/g13020025","title":"Risk Aversion, Managerial Reputation, and Debt–Equity Conflict","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Reputation; Shareholder; Equity (law); Business; Debt; Expropriation; Finance; Information asymmetry; Incentive; Capital structure; Equity value; Economics; Microeconomics; Corporate governance; Market economy; External debt; Debt levels and flows","score_opus":0.015412868685631102,"score_gpt":0.2220335842834315,"score_spread":0.2066207155978004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256962248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883786,0.00021609907,0.0002529153,0.00083381525,0.0005162145,0.00013341628,0.000021154496,0.00007840751,0.0095693795],"genre_scores_gemma":[0.99595404,0.000106556814,0.000042727916,0.0015498743,0.0004024729,0.000018928551,0.000021862315,0.000010331452,0.0018931886],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993374,0.000009315661,0.00012221956,0.00020860306,0.00018651476,0.00013599575],"domain_scores_gemma":[0.99957055,0.000016668782,0.00022818615,0.00013732711,0.0000415318,0.000005722504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024183869,0.00008124547,0.00009788873,0.000056890924,0.00035725694,0.00011102675,0.00012159014,0.000015756592,0.00048267172],"category_scores_gemma":[0.0000620469,0.0000842111,0.000029848154,0.00022414218,0.000032152722,0.00043702955,0.00035800663,0.00009200494,0.00007561168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032900207,0.000110971836,0.5062211,0.00017785243,0.000049894068,0.00010494932,0.00038449955,0.0012336666,0.00018111785,0.037880857,0.3553766,0.09794949],"study_design_scores_gemma":[0.00044158098,0.000008567396,0.31482726,0.000004376496,0.000024879311,0.000001947233,0.00014666487,0.0007113172,0.000007738626,0.0040819393,0.6796293,0.00011439997],"about_ca_topic_score_codex":0.0007713552,"about_ca_topic_score_gemma":0.0000474275,"teacher_disagreement_score":0.32425272,"about_ca_system_score_codex":0.000019515139,"about_ca_system_score_gemma":0.000011407111,"threshold_uncertainty_score":0.5284917},"labels":[],"label_agreement":null},{"id":"W2343073206","doi":"10.3390/g7030016","title":"Can We Predict the Winner in a Market with Network Effects? Competition in Cryptocurrency Market","year":2016,"lang":"en","type":"article","venue":"Games","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"University of Toronto; York University; Northwestern University","keywords":"Cryptocurrency; Competition (biology); Economics; Monetary economics; Sample (material); Financial economics; Econometrics; Computer science; Computer security","score_opus":0.005301383577264647,"score_gpt":0.16533108880328234,"score_spread":0.1600297052260177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343073206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8687878,0.00008475659,0.000049689545,0.001795088,0.0002454189,0.000325806,0.0000035471057,0.00003886239,0.128669],"genre_scores_gemma":[0.9982352,0.000043618238,0.000021911876,0.0004993924,0.00041730402,0.000045106328,0.000006455089,0.000013726535,0.0007172826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933285,0.0000033488056,0.0001630709,0.00016417059,0.00007006402,0.0002665022],"domain_scores_gemma":[0.99965113,0.00009862162,0.00008288236,0.00014630443,0.000013406467,0.000007659371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027817968,0.00011836849,0.00014119662,0.000083772014,0.00003557374,0.0002301941,0.00014082083,0.0000331236,0.0003424474],"category_scores_gemma":[0.000032295793,0.000060891653,0.000027104714,0.00020144165,0.000048436927,0.0013172124,0.00007099747,0.000066649,0.00004730539],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036552327,0.000110022556,0.74835795,0.0002630145,0.000031614243,0.000027381235,0.00006231383,0.00017578588,0.0000045165216,0.04490273,0.07649799,0.12920113],"study_design_scores_gemma":[0.0018539532,0.000035184257,0.8063143,0.0012524778,0.000016896627,0.0000026147836,0.00020357342,0.002821639,0.0000021313492,0.09020377,0.096950874,0.0003426056],"about_ca_topic_score_codex":0.00016193747,"about_ca_topic_score_gemma":0.002365671,"teacher_disagreement_score":0.12944737,"about_ca_system_score_codex":0.0000308628,"about_ca_system_score_gemma":0.000009924479,"threshold_uncertainty_score":0.3749559},"labels":[],"label_agreement":null},{"id":"W2896348643","doi":"10.3390/g9040083","title":"Homophily and Social Norms in Experimental Network Formation Games","year":2018,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund","keywords":"Homophily; Reciprocity (cultural anthropology); Social psychology; Network formation; Social network (sociolinguistics); Social identity theory; Social preferences; Psychology; Similarity (geometry); Preference; Norm of reciprocity; Social media; Computer science; Microeconomics; Social group; Economics; Sociology; Social capital","score_opus":0.03264888837365835,"score_gpt":0.3287941157232438,"score_spread":0.2961452273495854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896348643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741272,0.0007546249,0.000002987517,0.0007019928,0.00033908844,0.00015270413,0.0000019639594,0.000038949733,0.023880487],"genre_scores_gemma":[0.99856126,0.00007163533,0.00023080352,0.00020535562,0.0005538363,0.00003259393,0.0000026598598,0.000006809381,0.00033506387],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9993057,0.000043294083,0.00014953327,0.00014214384,0.00009353026,0.00026574932],"domain_scores_gemma":[0.99982864,0.000017501467,0.00005381734,0.00004828649,0.000018492494,0.000033291803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018738388,0.000081408885,0.00012796925,0.00003658347,0.00046259435,0.00006881823,0.00008672186,0.000057139307,0.00007669254],"category_scores_gemma":[0.0000072506546,0.000083149775,0.00002652289,0.000086631786,0.00052410044,0.0003781523,0.00008078568,0.000049632672,0.000045965946],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012911716,0.00030115526,0.18501152,0.000016732694,0.00003277554,0.000008304235,0.6784672,0.0000030412405,0.007546091,0.073053226,0.028258407,0.027172403],"study_design_scores_gemma":[0.0034342753,0.0008556229,0.24240786,0.000102480655,0.000036066805,0.00000777402,0.48487914,0.00019262853,0.044579443,0.015345029,0.20644642,0.0017132573],"about_ca_topic_score_codex":0.00092292175,"about_ca_topic_score_gemma":0.003224289,"teacher_disagreement_score":0.1935881,"about_ca_system_score_codex":0.00014528944,"about_ca_system_score_gemma":0.00001869192,"threshold_uncertainty_score":0.35579485},"labels":[],"label_agreement":null},{"id":"W2937261171","doi":"10.3390/g10020019","title":"Ideal Reactive Equilibrium","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mathematical economics; Subgame perfect equilibrium; Ideal (ethics); Subgame; Nash equilibrium; Perfection; Trembling hand perfect equilibrium; Sequential equilibrium; Complete information; Equilibrium selection; Extensive-form game; Markov perfect equilibrium; Computer science; Economics; Epsilon-equilibrium; Game theory; Best response; Sequential game; Epistemology; Repeated game; Philosophy","score_opus":0.06814157462283109,"score_gpt":0.3783683144727049,"score_spread":0.3102267398498738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937261171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85418755,0.000030460043,0.0003628931,0.0009104653,0.00014501471,0.0001096047,0.000007971311,0.0000372646,0.14420877],"genre_scores_gemma":[0.97312933,7.420524e-7,0.0002105571,0.00021528879,0.00005503816,0.000009810053,0.0000016661361,0.0000044961007,0.026373064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989702,0.00006751006,0.00019331898,0.0002587888,0.00037501447,0.00013513566],"domain_scores_gemma":[0.9986001,0.00064377545,0.00008278858,0.0005400416,0.00008007206,0.00005317712],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006202294,0.000058473088,0.00012276719,0.00006328535,0.000027479395,0.000079148,0.00042903115,0.000032109347,0.0024839109],"category_scores_gemma":[0.00031731228,0.000041499163,0.000058880796,0.00028830016,0.000054589113,0.00018606892,0.00008774799,0.00007048335,0.017161477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001411835,0.00021986233,0.011576141,0.0000041788467,0.000029015075,0.000003639216,0.0026420616,0.000102280115,0.21530236,0.48086584,0.057958312,0.23115513],"study_design_scores_gemma":[0.00044304223,0.00008997025,0.024348916,0.000005498233,0.000005203713,0.0000071052355,0.0015052109,0.0004192652,0.013662433,0.5509206,0.40844327,0.00014945774],"about_ca_topic_score_codex":0.000004954208,"about_ca_topic_score_gemma":0.0000011866398,"teacher_disagreement_score":0.35048497,"about_ca_system_score_codex":0.000008298446,"about_ca_system_score_gemma":0.000024024659,"threshold_uncertainty_score":0.9984279},"labels":[],"label_agreement":null},{"id":"W2943316197","doi":"10.3390/g10020020","title":"Voting in Three-Alternative Committees: An Experiment","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voting; Contingent vote; Variation (astronomy); SIGNAL (programming language); Approval voting; Bullet voting; Test (biology); Econometrics; Focus (optics); Private information retrieval; Economics; Microeconomics; Mathematical economics; Computer science; Condorcet method; Political science; Group voting ticket; Computer security; Law","score_opus":0.04892200713584727,"score_gpt":0.3607332908096011,"score_spread":0.3118112836737538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943316197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95846605,0.00047332808,0.0000040598516,0.00020183666,0.00033469652,0.00024064632,0.0000017849158,0.00003787331,0.04023972],"genre_scores_gemma":[0.998689,0.000017500664,0.00046711002,0.00010190449,0.00005981083,0.000031677206,0.0000013302126,0.000008354474,0.0006233151],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9992503,0.000059907135,0.0001405653,0.00019770265,0.0001183048,0.00023320016],"domain_scores_gemma":[0.99973255,0.000037007234,0.00005325039,0.000111187255,0.000016283155,0.0000497079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022986114,0.00008051363,0.00014113828,0.00004442878,0.000111215784,0.000048188485,0.00020131833,0.000034043456,0.00028453695],"category_scores_gemma":[0.000012300429,0.00008350012,0.00003008251,0.000064871274,0.0001193023,0.0002691275,0.000079891775,0.000071520255,0.00018209132],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011038319,0.00014301522,0.8810276,0.0000024494875,0.000009841929,0.0000035686726,0.07470867,0.000035523546,0.0021714973,0.03823018,0.00010542514,0.0035512012],"study_design_scores_gemma":[0.0035915966,0.00090337906,0.32170114,0.00024136447,0.00002048376,0.0000015333331,0.5690083,0.0018913848,0.04761608,0.009468085,0.043607023,0.0019496606],"about_ca_topic_score_codex":0.013550619,"about_ca_topic_score_gemma":0.018945334,"teacher_disagreement_score":0.55932647,"about_ca_system_score_codex":0.00022771503,"about_ca_system_score_gemma":0.000025679261,"threshold_uncertainty_score":0.9989564},"labels":[],"label_agreement":null},{"id":"W2948174074","doi":"10.3390/g10020025","title":"Optimal Majority Rule in Referenda","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"Concordia University","keywords":"Status quo; Majority rule; Preference; Status quo bias; Referendum; Stochastic game; Economics; Welfare; Mathematical economics; Microeconomics; Political science; Politics; Law","score_opus":0.03970713659861738,"score_gpt":0.3503837882675576,"score_spread":0.3106766516689402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948174074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9274297,0.000031428623,0.000003494014,0.00091835845,0.00017320945,0.0000813518,0.0000014113265,0.00002203861,0.07133901],"genre_scores_gemma":[0.99260443,0.00000207085,0.000054770513,0.0000566879,0.000116624295,0.0000057910997,0.0000013833637,0.0000023531084,0.0071558636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994094,0.00009315498,0.000087343855,0.000081645136,0.000119413686,0.00020908662],"domain_scores_gemma":[0.9998075,0.00004277405,0.000016458544,0.000062168125,0.000017924576,0.000053171985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000247483,0.00003159417,0.00007194054,0.000020746485,0.000037049198,0.000022848593,0.000056539673,0.000047833673,0.0006896944],"category_scores_gemma":[0.00005621402,0.000028848173,0.000017588913,0.000096328906,0.000029666693,0.000081798535,0.000008686175,0.00005656168,0.0005504035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000088329525,0.000036795525,0.79481333,0.000013461161,0.000003145973,0.0000013161089,0.0030486535,0.000030309473,0.00031543773,0.19804566,0.00092746294,0.002755588],"study_design_scores_gemma":[0.00030544744,0.000048226586,0.83392537,0.000033038992,0.0000035588444,1.859922e-7,0.0008439436,0.000082945364,0.00036450886,0.011458293,0.15276366,0.00017083828],"about_ca_topic_score_codex":0.01970967,"about_ca_topic_score_gemma":0.0056820787,"teacher_disagreement_score":0.18658736,"about_ca_system_score_codex":0.000053099855,"about_ca_system_score_gemma":0.000040646693,"threshold_uncertainty_score":0.9868182},"labels":[],"label_agreement":null},{"id":"W2964589796","doi":"10.3390/g10030032","title":"Behavioural Isomorphism, Cognitive Economy and Recursive Thought in Non-Transitive Game Strategy","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Alberta","funders":"University of Sussex","keywords":"Outcome (game theory); Transitive relation; Bounded rationality; Cognition; Computer science; Mathematical economics; Artificial intelligence; Cognitive science; Psychology; Economics; Mathematics","score_opus":0.02574604071348963,"score_gpt":0.3084862818885397,"score_spread":0.2827402411750501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964589796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93768203,0.0005498833,0.0000026979972,0.0005031136,0.00012604355,0.00055877416,0.000028526898,0.000022048604,0.060526855],"genre_scores_gemma":[0.9980325,0.0002414825,0.00005113408,0.00023043751,0.000044024302,0.000054383097,0.000009762779,0.000012600594,0.0013236802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902207,0.00007740207,0.00018505397,0.00032008145,0.00007035767,0.0003250507],"domain_scores_gemma":[0.9996134,0.00010404112,0.000076073055,0.00007173209,0.000051959505,0.00008279428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017460618,0.00014367235,0.00026030943,0.00007422609,0.00009975766,0.00007142447,0.00009886367,0.00009010772,0.00021022752],"category_scores_gemma":[0.000009775312,0.00015725207,0.00004800001,0.00009199617,0.00041354532,0.0004112066,0.000043700387,0.0001440964,0.00013107144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012717854,0.00020658456,0.8259463,0.000014744893,0.000058380647,0.00003897312,0.1467608,0.0000041432527,0.00089550385,0.019103551,0.00032872232,0.006515125],"study_design_scores_gemma":[0.002937527,0.0005039812,0.5577294,0.00020035992,0.00006949859,0.000005981831,0.4263112,0.00002814723,0.0047067474,0.0041827606,0.002401621,0.00092273357],"about_ca_topic_score_codex":0.00422524,"about_ca_topic_score_gemma":0.004541889,"teacher_disagreement_score":0.2795504,"about_ca_system_score_codex":0.00015671186,"about_ca_system_score_gemma":0.00006999953,"threshold_uncertainty_score":0.6412554},"labels":[],"label_agreement":null},{"id":"W2996165100","doi":"10.3390/g11010002","title":"A Condorcet Jury Theorem for Large Poisson Elections with Multiple Alternatives","year":2019,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Condorcet method; Mathematical economics; Approval voting; Simple (philosophy); Voting; Population; Poisson distribution; Majority rule; State (computer science); Private information retrieval; Mathematics; Economics; Computer science; Statistics; Law; Political science","score_opus":0.017880539866079438,"score_gpt":0.22570683618544982,"score_spread":0.20782629631937038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996165100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96599185,0.00045274128,0.009329436,0.00015419887,0.00040447648,0.00051184546,0.0002637778,0.00007378303,0.022817882],"genre_scores_gemma":[0.9852968,0.000010395228,0.00033353778,0.00011352607,0.000110924266,0.000066253284,0.000016806633,0.000024466979,0.014027325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992042,0.000018033235,0.00022927264,0.00027369097,0.000019779949,0.0002550279],"domain_scores_gemma":[0.9993564,0.00016921229,0.00019023402,0.00022026578,0.000026794018,0.000037104528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004693819,0.00010926514,0.00026717933,0.00009938436,0.00007843225,0.00004702226,0.00013244148,0.000047750513,0.00023624681],"category_scores_gemma":[0.00008860852,0.000100244666,0.000079195444,0.0000946162,0.000023008834,0.00012375007,0.000016782467,0.00007631645,0.0004621397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087359236,0.00006324293,0.15543026,0.000046358575,0.00007876907,4.2374165e-7,0.0010344783,0.000036351797,0.00018033682,0.8424636,0.00039536937,0.00018345227],"study_design_scores_gemma":[0.009555731,0.0014406355,0.092809245,0.00019789759,0.000030367986,0.00003529713,0.0026809934,0.013165723,0.00576788,0.18187541,0.69116944,0.0012713835],"about_ca_topic_score_codex":0.000037380694,"about_ca_topic_score_gemma":0.00002881255,"teacher_disagreement_score":0.6907741,"about_ca_system_score_codex":0.000025961735,"about_ca_system_score_gemma":0.000009122391,"threshold_uncertainty_score":0.5940025},"labels":[],"label_agreement":null},{"id":"W3041708415","doi":"10.3390/g11030025","title":"Switching Competitors Reduces Win-Stay but Not Lose-Shift Behaviour: The Role of Outcome-Action Association Strength on Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Predictability; Outcome (game theory); Association (psychology); Competitor analysis; Adversary; Reinforcement; Reinforcement learning; Competition (biology); Action (physics); Psychology; Economics; Social psychology; Microeconomics; Cognitive psychology; Computer science; Artificial intelligence; Computer security; Statistics; Ecology; Mathematics; Biology; Management","score_opus":0.04860363658271985,"score_gpt":0.32687971047128217,"score_spread":0.27827607388856235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041708415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98659474,0.00006854685,0.0000055371115,0.0026241795,0.00033400903,0.00020477844,0.000006366572,0.00007020598,0.010091613],"genre_scores_gemma":[0.99892735,0.00006987911,0.000056151915,0.0001648562,0.00022646874,0.000017101991,0.0000056069925,0.000010088177,0.0005224891],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9987441,0.0001430978,0.00032774298,0.00019023794,0.00036904225,0.00022581044],"domain_scores_gemma":[0.99926156,0.0001554455,0.00039719243,0.00008293698,0.00003928883,0.00006355191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039888854,0.00011947992,0.00020529205,0.000031103296,0.00052891974,0.000071494615,0.00019360332,0.000067231194,0.0000803819],"category_scores_gemma":[0.00019311173,0.00010282313,0.000097475066,0.000095034484,0.000073308314,0.00018128207,0.00007526848,0.00024072235,0.00003496634],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055329634,0.00007226956,0.88447964,0.00000625852,0.00006512875,6.392746e-7,0.090664804,0.001145948,0.010372312,0.005460611,0.00012576582,0.007551272],"study_design_scores_gemma":[0.00086506316,0.000724926,0.15278369,0.00007138691,0.0001754981,1.6438072e-7,0.4759833,0.0006548556,0.3282993,0.00018113577,0.03955378,0.0007068829],"about_ca_topic_score_codex":0.0036093933,"about_ca_topic_score_gemma":0.00052693556,"teacher_disagreement_score":0.73169595,"about_ca_system_score_codex":0.000396588,"about_ca_system_score_gemma":0.000033331118,"threshold_uncertainty_score":0.5456347},"labels":[],"label_agreement":null},{"id":"W3045724849","doi":"10.3390/g11030029","title":"Signalling, Information and Consumer Fraud","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; University of Toronto; Universidad de Alicante","keywords":"Private information retrieval; Microeconomics; Adverse selection; Quality (philosophy); Information asymmetry; Business; Price discrimination; Consumer welfare; Product (mathematics); Perfect information; Signaling game; Economics; Welfare; Computer security","score_opus":0.08059804839120042,"score_gpt":0.3406249421971663,"score_spread":0.2600268938059659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045724849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5926754,0.0004658522,0.3520296,0.025668915,0.00015113899,0.000269549,0.000035103734,0.00017226714,0.028532187],"genre_scores_gemma":[0.99669456,0.000018177872,0.0005928953,0.0023202798,0.00003636618,0.000005805417,0.000002025511,0.0000012315385,0.0003286803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999465,0.000026117641,0.00018384607,0.00008725611,0.00018888459,0.00004889622],"domain_scores_gemma":[0.9995258,0.00018564788,0.00007623327,0.00008368215,0.00006254484,0.00006611977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026700995,0.00003450709,0.000059037953,0.000029903233,0.000077154975,0.00010932085,0.00011409831,0.000021532263,0.0007604308],"category_scores_gemma":[0.0005387076,0.000025574429,0.000017514412,0.00018575523,0.00006209232,0.00036044288,0.000031304062,0.00004352958,0.0016146317],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034427536,0.00001454161,0.0077472134,0.000006416288,0.000014850588,5.258002e-7,0.007302871,0.000256008,0.0012610343,0.15459771,0.1113346,0.7174298],"study_design_scores_gemma":[0.00009894174,0.000013852501,0.0023993503,0.0000012710381,0.000003165761,0.0000016994459,0.0012945234,0.0016191405,0.0012172506,0.04701531,0.9462822,0.000053290456],"about_ca_topic_score_codex":0.0000013832192,"about_ca_topic_score_gemma":3.3449433e-7,"teacher_disagreement_score":0.8349476,"about_ca_system_score_codex":0.000001552998,"about_ca_system_score_gemma":0.000010761714,"threshold_uncertainty_score":0.99916273},"labels":[],"label_agreement":null},{"id":"W3048832335","doi":"10.3390/g11030031","title":"Against All Odds: Tentative Steps toward Efficient Information Sharing in Groups","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Odds; Outcome (game theory); Class (philosophy); Group (periodic table); Face (sociological concept); Noise (video); Computer science; Psychology; Social psychology; Mathematical economics; Artificial intelligence; Economics; Sociology; Machine learning; Logistic regression; Social science","score_opus":0.0698662782665776,"score_gpt":0.3344721677805406,"score_spread":0.264605889513963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048832335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658387,0.000117439755,0.000038676244,0.0024896793,0.00013501661,0.00025533725,0.000007932099,0.00006129067,0.031055935],"genre_scores_gemma":[0.99830675,0.00008385799,0.00018870652,0.0013053926,0.000045240256,0.00003114994,0.000009241666,0.0000043191358,0.00002534699],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9992859,0.000028749711,0.00020907857,0.00013572944,0.00013230093,0.00020827477],"domain_scores_gemma":[0.99975747,0.000022092303,0.000071791,0.000050753417,0.0000221485,0.000075746924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015715197,0.00007869629,0.00012501594,0.000044016648,0.00009729328,0.00008110873,0.00017255411,0.000035400026,0.000035027264],"category_scores_gemma":[0.000063453044,0.00008158871,0.000037107493,0.00013541682,0.000101861515,0.00038463602,0.00013446329,0.000081638536,0.0001587987],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031822405,0.000059720096,0.051344894,0.00001859738,0.000020704807,0.000005141983,0.92330295,0.0006500844,0.00070353877,0.01396674,0.0006449416,0.009250879],"study_design_scores_gemma":[0.0016554615,0.00017755595,0.055080324,0.00007521879,0.000021875716,3.010139e-7,0.9050839,0.0041869055,0.0042328564,0.00042447846,0.028328579,0.00073251704],"about_ca_topic_score_codex":0.0008754128,"about_ca_topic_score_gemma":0.00031434733,"teacher_disagreement_score":0.03246805,"about_ca_system_score_codex":0.00022204424,"about_ca_system_score_gemma":0.00002576437,"threshold_uncertainty_score":0.3327091},"labels":[],"label_agreement":null},{"id":"W3065247877","doi":"10.3390/g11030035","title":"A Note on Stabilizing Cooperation in the Centipede Game","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mathematical economics; Subgame perfect equilibrium; Nash equilibrium; Repeated game; Centipede; Normal-form game; Reciprocity (cultural anthropology); Iterated function; Non-cooperative game; Sequential game; Extensive-form game; Game theory; Simultaneous game; Economics; Microeconomics; Mathematics","score_opus":0.07118643388488594,"score_gpt":0.3554206541494938,"score_spread":0.2842342202646079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3065247877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540035,0.00013196655,0.000010250109,0.018516542,0.000095949865,0.00021624858,0.0000027120436,0.000028123082,0.026994705],"genre_scores_gemma":[0.99756664,0.00006181176,0.00006991624,0.0021292346,0.00009493882,0.00002007709,0.0000012913989,0.0000036367735,0.000052462998],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.999475,0.000090022324,0.00009266616,0.000118929405,0.00009421821,0.00012917937],"domain_scores_gemma":[0.99982524,0.000058650054,0.000023134098,0.000056722038,0.000010068807,0.000026188707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001728771,0.000047781945,0.00006856327,0.000012162294,0.00013252078,0.00006588192,0.00012700516,0.0000218133,0.000054163524],"category_scores_gemma":[0.00009340805,0.000037207363,0.000022675697,0.00010210005,0.0000858404,0.00009436071,0.000023079827,0.000069960515,0.00008388226],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054191736,0.00016721268,0.043260846,0.000007702546,0.0000071976992,0.000011048543,0.85956836,0.00015823774,0.009295994,0.07295807,0.0036481381,0.0108630005],"study_design_scores_gemma":[0.002046268,0.00076768914,0.05615387,0.000087097724,0.00003489096,8.3445286e-7,0.49153543,0.00088599836,0.01911063,0.0022306908,0.42613152,0.0010150949],"about_ca_topic_score_codex":0.00068572565,"about_ca_topic_score_gemma":0.0022586964,"teacher_disagreement_score":0.42248338,"about_ca_system_score_codex":0.00007044214,"about_ca_system_score_gemma":0.000026568849,"threshold_uncertainty_score":0.15172721},"labels":[],"label_agreement":null},{"id":"W3095946541","doi":"10.3390/g11040048","title":"Communication, Expectations, and Trust: An Experiment with Three Media","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Trustworthiness; Social media; Affect (linguistics); Face (sociological concept); Social psychology; Internet privacy; Dictator game; Face-to-face; Psychology; Norm (philosophy); Advertising; Communication source; Communication in small groups; Computer science; Business; Telecommunications; Political science; Sociology; Communication; World Wide Web","score_opus":0.05277298720551105,"score_gpt":0.32836436309566414,"score_spread":0.2755913758901531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095946541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827975,0.003156531,0.000018166293,0.0054138275,0.00002461183,0.0001588783,0.0000038255034,0.000072752024,0.008353901],"genre_scores_gemma":[0.9946165,0.00016113943,0.0048441333,0.00024078011,0.000039244194,0.000057359415,0.0000058246815,0.0000072406833,0.000027755854],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9995259,0.000043632514,0.000090924215,0.00014018784,0.00009253186,0.00010684143],"domain_scores_gemma":[0.9996667,0.000035784975,0.000039256778,0.00011965561,0.000026260672,0.0001123767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055881246,0.00006345743,0.00009384348,0.000012882585,0.00033059466,0.00006099589,0.00014418125,0.000022320664,0.000083736115],"category_scores_gemma":[0.00002252546,0.000058099336,0.000010740834,0.00005865469,0.0003440021,0.00022318255,0.00005392876,0.00004078631,0.000015131814],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034228513,0.000088452914,0.1008276,0.000002868693,0.000023931132,0.0000018666916,0.8416894,0.0000018998641,0.00065894076,0.050176248,0.0011399561,0.0053546303],"study_design_scores_gemma":[0.0006645617,0.00022317542,0.027449835,0.000014097338,0.000023638615,7.387403e-7,0.9552304,0.000078415644,0.004140483,0.0012454131,0.010588794,0.00034042157],"about_ca_topic_score_codex":0.00071774883,"about_ca_topic_score_gemma":0.0032524497,"teacher_disagreement_score":0.113541044,"about_ca_system_score_codex":0.00003585505,"about_ca_system_score_gemma":0.000030243227,"threshold_uncertainty_score":0.25427005},"labels":[],"label_agreement":null},{"id":"W3121474827","doi":"10.3390/g7030017","title":"Vertical Relationships within Platform Marketplaces","year":2016,"lang":"en","type":"article","venue":"Games","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Competition (biology); Business; Product (mathematics); Economic surplus; Two-sided market; Industrial organization; Product market; Mode (computer interface); Network effect; Welfare; Microeconomics; Commerce; Economics; Computer science; Incentive; Market economy","score_opus":0.03417901829973443,"score_gpt":0.19747280039112997,"score_spread":0.16329378209139553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121474827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85904694,0.000012373297,0.00011346616,0.00053063757,0.00025334518,0.00005136705,0.0000010171223,0.00009146063,0.1398994],"genre_scores_gemma":[0.997124,0.0000029665362,0.00008258363,0.00047140554,0.00036145095,0.0000051972766,0.000005025674,0.000012871133,0.0019344542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99944437,3.7394085e-7,0.00017425639,0.000137349,0.000070305614,0.00017334273],"domain_scores_gemma":[0.9997203,0.000072286915,0.00004544716,0.00012742719,0.000022510736,0.000012073962],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021757334,0.000086730666,0.00009197455,0.00007323473,0.000084604646,0.00034758364,0.00011007745,0.00004771041,0.0003596692],"category_scores_gemma":[0.00021200297,0.00005409445,0.000040327814,0.00007254676,0.000044556422,0.004690541,0.000072316056,0.00005291893,0.002614911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001033739,0.00004223388,0.11478271,0.00003850893,0.000030626634,0.000005342402,0.0000341556,0.00001474209,0.00010489407,0.8299257,0.02201942,0.032898292],"study_design_scores_gemma":[0.0015775278,0.00002129707,0.17000529,0.00017189265,0.000051219788,0.000008732206,0.0009700033,0.002997164,0.0002807239,0.5662833,0.25685707,0.00077579456],"about_ca_topic_score_codex":0.000016251082,"about_ca_topic_score_gemma":0.00007280205,"teacher_disagreement_score":0.2636424,"about_ca_system_score_codex":0.000018892471,"about_ca_system_score_gemma":0.000008205862,"threshold_uncertainty_score":0.9981617},"labels":[],"label_agreement":null},{"id":"W3121659682","doi":"10.3390/g4020243","title":"Unraveling Results from Comparable Demand and Supply: An Experimental Investigation","year":2013,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Economics; Supply and demand; Econometrics; Mathematical economics; Microeconomics","score_opus":0.10473989759856386,"score_gpt":0.36082700776005117,"score_spread":0.25608711016148733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121659682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957169,0.00014585428,0.0017612468,0.0008409904,0.00006792104,0.00012962376,0.000025540608,0.00003629762,0.0012756063],"genre_scores_gemma":[0.99572855,0.0000044716985,0.002873047,0.00021747572,0.00007787272,0.000026900287,0.000029425859,0.0000039100723,0.0010383638],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989769,0.00010582626,0.00028720032,0.0003039027,0.00023417588,0.000091983115],"domain_scores_gemma":[0.99904186,0.00038585934,0.00010574297,0.0002864073,0.00006564706,0.000114490045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048641014,0.00006615362,0.00010202364,0.000052615236,0.00019026794,0.00025511824,0.0001678229,0.00003551273,0.00062162266],"category_scores_gemma":[0.00019363523,0.00005127245,0.000016473885,0.00014245143,0.00013927948,0.0005340973,0.000041554955,0.00004980438,0.00052039366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021967589,0.0003626238,0.06295613,0.0000037215937,0.000048901726,0.0000024228032,0.051510036,0.0025506571,0.6154516,0.07268315,0.09906315,0.09514792],"study_design_scores_gemma":[0.0009477313,0.00007222906,0.120431796,0.000016804395,0.000008417069,0.000005934712,0.01890231,0.019967942,0.23478766,0.5918985,0.01269309,0.00026760905],"about_ca_topic_score_codex":0.00025022894,"about_ca_topic_score_gemma":0.000012765304,"teacher_disagreement_score":0.51921535,"about_ca_system_score_codex":0.0000074543823,"about_ca_system_score_gemma":0.000011802946,"threshold_uncertainty_score":0.68063325},"labels":[],"label_agreement":null},{"id":"W3135620714","doi":"10.3390/g12010020","title":"A Generalization of Quantal Response Equilibrium via Perturbed Utility","year":2021,"lang":"en","type":"article","venue":"Games","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematical economics; Generalization; Best response; Expected utility hypothesis; Preference; Logit; Separable space; Outcome (game theory); Complementarity (molecular biology); Isoelastic utility; Economics; Quadratic equation; Mathematical optimization; Mathematics; Game theory; Econometrics; Microeconomics","score_opus":0.13973826344195597,"score_gpt":0.403918342080461,"score_spread":0.264180078638505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135620714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943603,0.00021383772,0.003527801,0.00058969297,0.00057128427,0.00005218846,0.000034502067,0.00002652135,0.00062382675],"genre_scores_gemma":[0.99640083,0.000005780686,0.0017989222,0.00014957189,0.000042776865,0.0000022155045,0.000007886224,0.00000825178,0.0015837899],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99784106,0.000387195,0.00064530806,0.00042404849,0.00054176437,0.00016060614],"domain_scores_gemma":[0.9975982,0.0010156761,0.00021331053,0.0007093816,0.00038703208,0.000076435026],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019634594,0.00010211983,0.00029199544,0.00013341752,0.00004474225,0.00013050844,0.00035579575,0.000083724546,0.0012999722],"category_scores_gemma":[0.003971148,0.0000811144,0.00016477551,0.00048360543,0.00009615477,0.00022130879,0.00018145473,0.00007394838,0.00016896786],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011650136,0.00034483333,0.035344932,0.000006006896,0.00001745058,0.00007319232,0.0013324562,0.00030721846,0.17502002,0.0003275019,0.012413424,0.77364796],"study_design_scores_gemma":[0.0018158199,0.00044459963,0.3913422,0.00008875338,0.000072481525,0.00023002164,0.0030173473,0.07651006,0.19589478,0.19450165,0.1351709,0.00091139716],"about_ca_topic_score_codex":0.000023658356,"about_ca_topic_score_gemma":0.000029618448,"teacher_disagreement_score":0.77273655,"about_ca_system_score_codex":0.000026491125,"about_ca_system_score_gemma":0.00017861449,"threshold_uncertainty_score":0.999613},"labels":[],"label_agreement":null},{"id":"W3159081779","doi":"10.3390/g12020040","title":"Private Value Takeover Auctions with Toeholds: An Experimental Study","year":2021,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Common value auction; Bidding; Risk aversion (psychology); Microeconomics; Economics; Value (mathematics); Function (biology); Private information retrieval; Prospect theory; Econometrics; Mathematical economics; Expected utility hypothesis; Mathematics; Statistics","score_opus":0.10015829478082233,"score_gpt":0.4024095031709276,"score_spread":0.3022512083901053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159081779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917323,0.000053068525,0.0053136726,0.00039060262,0.00015548506,0.00018406549,0.000010055233,0.00007138811,0.0046484116],"genre_scores_gemma":[0.98941875,0.0000010873307,0.0015079137,0.00019562997,0.00010857542,0.000074861055,0.0000044591725,0.000009080199,0.008679667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844074,0.00020011082,0.00024353867,0.0004440326,0.0005389614,0.00013264206],"domain_scores_gemma":[0.99882853,0.00012585695,0.000087178276,0.00073555345,0.00012607992,0.00009682008],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004366092,0.000095201984,0.00013475088,0.00006161645,0.00030566964,0.00020847452,0.0002855486,0.000026828531,0.0018713163],"category_scores_gemma":[0.00011297605,0.00006773833,0.000043851127,0.00061186426,0.00010429401,0.00041224022,0.00007665291,0.00008093172,0.000374481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031922324,0.01834416,0.07658916,0.0000043466034,0.00029230333,0.00016629373,0.041765623,0.005944542,0.07942561,0.7154469,0.021325905,0.04037593],"study_design_scores_gemma":[0.0022972198,0.0015121672,0.113689706,0.00001681471,0.00008186667,0.00025531475,0.24756125,0.00056746235,0.2187561,0.088179596,0.32623065,0.0008518718],"about_ca_topic_score_codex":0.0000075781672,"about_ca_topic_score_gemma":0.00001687066,"teacher_disagreement_score":0.6272673,"about_ca_system_score_codex":0.0000196876,"about_ca_system_score_gemma":0.000051661456,"threshold_uncertainty_score":0.9990411},"labels":[],"label_agreement":null},{"id":"W3165201608","doi":"10.3390/g12030062","title":"Champ versus Chump: Viewing an Opponent’s Face Engages Attention but Not Reward Systems","year":2021,"lang":"en","type":"article","venue":"Games","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Psychology; Outcome (game theory); Punishment (psychology); Adversary; Curiosity; Reinforcement learning; Social psychology; Cognitive psychology; Reinforcement; Artificial intelligence; Computer science","score_opus":0.3296110954412946,"score_gpt":0.3949297501339199,"score_spread":0.06531865469262532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165201608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99345994,0.00050647144,0.000016084488,0.0014972745,0.0034316543,0.00014431216,0.000028564325,0.00016141766,0.00075426674],"genre_scores_gemma":[0.99369496,0.0003386036,0.000018357978,0.00045208816,0.0001800268,0.000029168083,0.0000071017034,0.000015062441,0.0052646445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99832976,0.00034722537,0.00020472032,0.00057111005,0.00023962898,0.0003075283],"domain_scores_gemma":[0.9993796,0.000113209215,0.000079309786,0.00030620696,0.00004341825,0.000078271936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015881992,0.00016526706,0.00022591872,0.000043236352,0.0002965582,0.00008788787,0.0001820027,0.000067199995,0.000034262634],"category_scores_gemma":[0.00017351579,0.00014067897,0.000084723215,0.00016091784,0.0001116837,0.00024271569,0.000110566645,0.0002201578,0.00016496476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005314839,0.00009480142,0.0011634412,0.000023486358,0.000006897318,0.00017497464,0.00048190507,0.0000056592503,0.9929387,0.00005581058,0.00065917044,0.004342024],"study_design_scores_gemma":[0.001661882,0.00042380663,0.04313601,0.00011720706,0.000065564534,0.00016296828,0.005864356,0.00005492259,0.91601026,0.000031714964,0.031885352,0.0005859611],"about_ca_topic_score_codex":0.00002721574,"about_ca_topic_score_gemma":0.000008047667,"teacher_disagreement_score":0.07692843,"about_ca_system_score_codex":0.000025257561,"about_ca_system_score_gemma":0.000013198746,"threshold_uncertainty_score":0.5736722},"labels":[],"label_agreement":null},{"id":"W4200101777","doi":"10.3390/g13010001","title":"Self-Enforcing Collective Counterterror Retaliation","year":2021,"lang":"en","type":"article","venue":"Games","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Terrorism; Backlash; Spillover effect; Join (topology); Law and economics; Economics; Political economy; Political science; Microeconomics; Law; Engineering","score_opus":0.020234636970056227,"score_gpt":0.30710804513547935,"score_spread":0.2868734081654231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200101777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8327812,0.00065805425,0.0020614984,0.005239193,0.0023720672,0.00034058644,0.00003452799,0.0005044227,0.15600844],"genre_scores_gemma":[0.9897564,0.00015162256,0.00012703579,0.0010669932,0.0004591991,0.0000217525,0.000008266917,0.000012397822,0.008396338],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99845135,0.00020818123,0.00021180829,0.00028339625,0.0004026898,0.00044257194],"domain_scores_gemma":[0.9991896,0.00014877823,0.00007113927,0.0001962208,0.00024189541,0.0001523522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031571815,0.00012192151,0.0001781313,0.00005012321,0.00040170463,0.00014596598,0.00018107178,0.00012298935,0.00045922305],"category_scores_gemma":[0.00026536398,0.00012517767,0.00009330772,0.00032237096,0.00012057966,0.00032535795,0.000039066177,0.00011975221,0.00012868948],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004370034,0.00029424325,0.01624629,0.00009499479,0.00016391235,0.00015156204,0.93400455,0.000004684732,0.0005003753,0.015848495,0.020817792,0.011829423],"study_design_scores_gemma":[0.00096453587,0.00014518132,0.018074067,0.00027012167,0.00013448531,0.00002402833,0.61690176,0.0012524867,0.002738897,0.010346708,0.34827676,0.0008709752],"about_ca_topic_score_codex":0.0005175314,"about_ca_topic_score_gemma":0.0012881653,"teacher_disagreement_score":0.32745898,"about_ca_system_score_codex":0.00036019596,"about_ca_system_score_gemma":0.0006105799,"threshold_uncertainty_score":0.5104597},"labels":[],"label_agreement":null},{"id":"W4200495166","doi":"10.3390/g13010004","title":"Overlapping Climate Clubs: Self-Enforcing R&D Networks to Mitigate Global Warming","year":2021,"lang":"en","type":"article","venue":"Games","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Japan Society for the Promotion of Science","keywords":"Incentive; Attrition; Nash equilibrium; Computer science; Climate change; Global warming; Environmental economics; Business; Microeconomics; Economics; Ecology","score_opus":0.05554026834894916,"score_gpt":0.2618027366910108,"score_spread":0.20626246834206163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200495166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9147806,0.0049084565,0.006019947,0.0024464454,0.0018838568,0.0002532876,0.0005855176,0.00026555132,0.068856314],"genre_scores_gemma":[0.9832587,0.003979678,0.0058182403,0.00508644,0.0009656524,0.000046908117,0.00011478201,0.000059597045,0.0006699724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99794215,0.000013053576,0.0006663812,0.0005588993,0.000028115868,0.00079142],"domain_scores_gemma":[0.99903107,0.000060258753,0.00023094067,0.00043258528,0.000031818145,0.00021333744],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004034485,0.00022511059,0.00049574,0.00009937071,0.00020184024,0.0002433705,0.00021309157,0.00013895995,0.00044459922],"category_scores_gemma":[0.000121117926,0.00030575664,0.00018481792,0.00035925282,0.000022124714,0.0002668271,0.0002903888,0.00014676811,0.0015706852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008720511,0.00030588964,0.39236718,0.00053098006,0.0005682914,0.00010409082,0.009004574,0.030820893,0.00010935729,0.53358895,0.014970224,0.017542372],"study_design_scores_gemma":[0.0017956749,0.000084444706,0.052048743,0.00041038342,0.00005661229,0.00015003844,0.0017946354,0.06156553,0.00023220426,0.03351241,0.8460903,0.0022590228],"about_ca_topic_score_codex":0.00020600986,"about_ca_topic_score_gemma":0.00042912096,"teacher_disagreement_score":0.8311201,"about_ca_system_score_codex":0.00031244176,"about_ca_system_score_gemma":0.000022472526,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W4206454672","doi":"10.3390/g13010013","title":"Random Rank-Dependent Expected Utility","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Rank (graph theory); Expected utility hypothesis; Characterization (materials science); Statistical hypothesis testing; Expected value; Mathematics; Computer science; Statistics; Combinatorics; Physics","score_opus":0.1298978114648991,"score_gpt":0.3834981293634477,"score_spread":0.2536003178985486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206454672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886067,0.00022004593,0.00084425893,0.00060675613,0.0016138911,0.00016353794,0.000063946885,0.00009022924,0.0077906377],"genre_scores_gemma":[0.99518514,0.0000048707316,0.00030306165,0.00028638897,0.000062887775,0.00004197995,0.000005041377,0.000010191949,0.0041004643],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970036,0.0003529274,0.00064033596,0.00057407765,0.0011816698,0.00024739827],"domain_scores_gemma":[0.99771255,0.0010277588,0.00020986423,0.0008427819,0.000105671694,0.00010134414],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030638878,0.0001272386,0.00034453467,0.00021172935,0.00038016296,0.0002438835,0.001006824,0.0000375927,0.016153658],"category_scores_gemma":[0.0012364958,0.00010001992,0.0002058387,0.000440794,0.000067766225,0.0001628111,0.0005291244,0.00025302463,0.00071510416],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003674106,0.000175235,0.011185961,5.075958e-7,0.000009328425,0.00004292479,0.0007789679,0.0004139461,0.0001892905,0.00009438093,0.040795617,0.94594646],"study_design_scores_gemma":[0.004959962,0.00021482047,0.038187295,0.00000614538,0.000035443583,0.00010119678,0.008672865,0.0036188145,0.00067595474,0.16253448,0.78039515,0.0005978806],"about_ca_topic_score_codex":0.000058879625,"about_ca_topic_score_gemma":0.00002652485,"teacher_disagreement_score":0.94534856,"about_ca_system_score_codex":0.00006903676,"about_ca_system_score_gemma":0.000084354375,"threshold_uncertainty_score":0.9847457},"labels":[],"label_agreement":null},{"id":"W4223893530","doi":"10.3390/g13020032","title":"Endogenous Abatement Technology Agreements under Environmental Regulation","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Japan Society for the Promotion of Science","keywords":"Duopoly; Subsidy; Industrial organization; Welfare; Cournot competition; Microeconomics; Economics; Oligopoly; Environmental policy; Business; Market economy; Environmental economics","score_opus":0.09185423918366367,"score_gpt":0.2214889438443254,"score_spread":0.12963470466066174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223893530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777288,0.0016162341,0.00020752534,0.0019086282,0.00045062805,0.0002186811,0.0005783431,0.000054216598,0.017236933],"genre_scores_gemma":[0.9972827,0.00021648864,0.00012051142,0.00051409635,0.0000572762,0.00010636215,0.000109160406,0.000017945786,0.0015754907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991231,0.0000068722384,0.00032694984,0.00027085678,0.000025036636,0.00024716667],"domain_scores_gemma":[0.9995237,0.00000905091,0.00019211897,0.00024201909,0.0000013823984,0.000031715357],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016867812,0.00009581365,0.00017018647,0.00024185325,0.00021992804,0.000018802717,0.00016591493,0.000039418075,0.0071970946],"category_scores_gemma":[0.0000043821797,0.00013318041,0.000055483793,0.00009460415,0.000038910155,0.00007626313,0.00022050338,0.00009338951,0.0008613771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007349024,0.00096403685,0.2739433,0.000043795335,0.00036886992,0.000019092398,0.0050128675,0.0057864,0.0041098217,0.690294,0.0053766593,0.014007614],"study_design_scores_gemma":[0.002112135,0.00038625684,0.05547411,0.0000052180544,0.000018132145,0.000092057766,0.0057385648,0.0028420459,0.001971931,0.36774856,0.5627237,0.0008873002],"about_ca_topic_score_codex":0.00006356653,"about_ca_topic_score_gemma":0.000008668424,"teacher_disagreement_score":0.557347,"about_ca_system_score_codex":0.00038159936,"about_ca_system_score_gemma":0.0000041843623,"threshold_uncertainty_score":0.99991655},"labels":[],"label_agreement":null},{"id":"W4282036599","doi":"10.3390/g13030043","title":"On the Impact of an Intermediary Agent in the Ultimatum Game","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Delegate; Microeconomics; Intermediary; Ultimatum game; Censoring (clinical trials); Economics; Computer science; Econometrics; Finance","score_opus":0.043608423264446076,"score_gpt":0.3744875520996916,"score_spread":0.3308791288352455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282036599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98414004,0.00010048828,1.2310484e-7,0.0011555222,0.00012779389,0.00018609324,0.000014901933,0.0000081866865,0.014266832],"genre_scores_gemma":[0.99950063,0.000019757364,0.0000062630656,0.0002379461,0.00002558659,0.00007900441,0.0000020949913,0.000003707018,0.0001249922],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9992429,0.00029387965,0.00010138757,0.00008770779,0.00013882395,0.00013528785],"domain_scores_gemma":[0.9996198,0.00016069067,0.00005179518,0.00014464138,0.000005814013,0.000017299575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059117796,0.00005144386,0.00008014651,0.000028596323,0.00019763548,0.000020089286,0.00038074335,0.000010678078,0.0004231931],"category_scores_gemma":[0.00004406675,0.000029120965,0.00006670538,0.00009635104,0.00022410805,0.000054042823,0.000095964104,0.00011938448,0.000008648001],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011749422,0.0011131705,0.05453142,0.0000029425746,0.000050481987,0.000024045938,0.86658686,0.0005425711,0.0020623682,0.038839456,0.026584512,0.009544698],"study_design_scores_gemma":[0.0005104134,0.0012434094,0.33792272,0.000017452192,0.000014311033,0.000003140823,0.63799363,0.00033067144,0.0010141927,0.015941337,0.004710944,0.0002977811],"about_ca_topic_score_codex":0.005261389,"about_ca_topic_score_gemma":0.0005637164,"teacher_disagreement_score":0.28339133,"about_ca_system_score_codex":0.00019089368,"about_ca_system_score_gemma":0.000047759753,"threshold_uncertainty_score":0.79536813},"labels":[],"label_agreement":null},{"id":"W4289132430","doi":"10.3390/g13040053","title":"Does Party Polarization Affect the Electoral Prospects of a New Centrist Candidate?","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Polarization (electrochemistry); Voting; Political science; Law; Politics; Chemistry","score_opus":0.02095218386116007,"score_gpt":0.31524971664699986,"score_spread":0.2942975327858398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289132430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917517,0.00022967526,0.000048261394,0.005666031,0.00061070564,0.00043719317,0.000019053079,0.000042985077,0.0011944381],"genre_scores_gemma":[0.9949032,0.0000023929167,0.0000074760983,0.00009707453,0.00031858674,0.000026154657,0.000008605289,0.0000046599553,0.0046318714],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989086,0.00031878892,0.00012934736,0.00009596504,0.00030863372,0.0002386796],"domain_scores_gemma":[0.99964553,0.0000742882,0.000081040496,0.00009563491,0.00003168293,0.00007179755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036676932,0.00004874057,0.00009160458,0.000019932899,0.0004571887,0.000036010824,0.00012254805,0.0000217686,0.00039559903],"category_scores_gemma":[0.00014978538,0.000026970962,0.000039022383,0.0002901936,0.000074589494,0.00006470002,0.000026735366,0.00008127394,0.000005354753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003457577,0.000068979665,0.8217768,0.000019090781,0.000027085096,0.0000012729452,0.009933766,0.000036530684,0.001950522,0.15153609,0.01270653,0.0019087521],"study_design_scores_gemma":[0.00062373624,0.00037335878,0.4132992,0.000025456677,0.00008176174,7.8495003e-7,0.0019210726,0.0001709837,0.007386874,0.022076847,0.55371493,0.00032500658],"about_ca_topic_score_codex":0.064447716,"about_ca_topic_score_gemma":0.015609412,"teacher_disagreement_score":0.54100835,"about_ca_system_score_codex":0.00009561174,"about_ca_system_score_gemma":0.00021168844,"threshold_uncertainty_score":0.9417822},"labels":[],"label_agreement":null},{"id":"W4313415204","doi":"10.3390/g14010002","title":"Exchange Networks with Stochastic Matching","year":2022,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Sorbonne Université; Université Clermont-Auvergne; Université Côte d’Azur; Istanbul Teknik Üniversitesi","keywords":"Matching (statistics); Mathematical economics; Convergence (economics); Fixed point; Bargaining problem; Extension (predicate logic); Nash equilibrium; Stability (learning theory); Stochastic approximation; Mathematical optimization; Economics; Mathematics; Computer science","score_opus":0.020201090111851068,"score_gpt":0.19106274782085944,"score_spread":0.17086165770900838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313415204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84968644,0.0041205813,0.11667039,0.00035856807,0.0012193237,0.0003196216,0.00008060648,0.00017369006,0.027370788],"genre_scores_gemma":[0.99537474,0.000003865743,0.00012782848,0.0001921436,0.00014291072,0.000067603876,0.0000074775908,0.00002132812,0.004062087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932677,0.000027206586,0.00019903375,0.00021241808,0.0000273494,0.00020724867],"domain_scores_gemma":[0.9995621,0.0000465157,0.0001600008,0.00019079981,0.0000048894844,0.00003569691],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005674488,0.000084047315,0.00019496211,0.00008516494,0.0002183941,0.0000347075,0.00015820701,0.000019510566,0.00102539],"category_scores_gemma":[0.000010519631,0.00008982205,0.000038797472,0.000147092,0.000024273651,0.000057719782,0.00007701626,0.00016051267,0.00011719447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010929881,0.00012029282,0.011373643,0.00006806449,0.00012192656,0.000025738073,0.007446893,0.3621833,0.0000067759083,0.6132337,0.0024384025,0.0028719832],"study_design_scores_gemma":[0.006505664,0.002376077,0.040644962,0.00025580305,0.000075338845,0.0006459848,0.015062694,0.22258292,0.000018762981,0.34969753,0.3581158,0.0040184734],"about_ca_topic_score_codex":0.00008385791,"about_ca_topic_score_gemma":0.0000069621237,"teacher_disagreement_score":0.35567737,"about_ca_system_score_codex":0.00004410978,"about_ca_system_score_gemma":0.0000046303226,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4321598513","doi":"10.3390/g14020019","title":"A Representation for Many Player Generalized Divide the Dollar Games","year":2023,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Strategy; Liberian dollar; Mathematical economics; Representation (politics); Normal-form game; Repeated game; Operator (biology); Bargaining problem; Nash equilibrium; Computer science; Non-cooperative game; Mathematics; Game theory; Economics","score_opus":0.08290310321348061,"score_gpt":0.2821639099020004,"score_spread":0.1992608066885198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321598513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98031527,0.0013290863,0.0046352088,0.0034620678,0.0016291853,0.0006425391,0.00015645019,0.00021641456,0.007613805],"genre_scores_gemma":[0.974905,0.00009997041,0.00014192903,0.00026533342,0.00036919126,0.000195351,0.000030159912,0.000024290874,0.023968734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990353,0.000040139053,0.00036947685,0.00027717932,0.000031362077,0.0002465457],"domain_scores_gemma":[0.99913913,0.0002693467,0.00020145698,0.00034000553,0.000018972087,0.000031076004],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010865392,0.000100331374,0.0002486015,0.00010863861,0.00014488703,0.00009267846,0.00020833184,0.000057322504,0.00011088805],"category_scores_gemma":[0.00032334824,0.00008390489,0.00014808288,0.00028826846,0.000038745005,0.000094848314,0.00004409398,0.000056052937,0.00083097286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006197359,0.00002516205,0.03185373,0.00007125866,0.00013801861,0.000002903497,0.0030525527,0.00081953633,0.00034828816,0.88786364,0.073145896,0.0026170341],"study_design_scores_gemma":[0.0013538324,0.00006556074,0.05686445,0.000035060188,0.000019412308,0.0000066348352,0.0007690065,0.009102842,0.0012565226,0.4320509,0.49810705,0.0003687189],"about_ca_topic_score_codex":0.00007993009,"about_ca_topic_score_gemma":0.000010067723,"teacher_disagreement_score":0.45581272,"about_ca_system_score_codex":0.000018174023,"about_ca_system_score_gemma":0.0000057747384,"threshold_uncertainty_score":0.999947},"labels":[],"label_agreement":null},{"id":"W4382490577","doi":"10.3390/g14030040","title":"First You Get the Money, Then You Get the Power: The Effect of Cheating on Altruism","year":2023,"lang":"en","type":"article","venue":"Games","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi; University of Calgary","keywords":"Cheating; Tournament; Dictator; Competition (biology); Promotion (chess); Dictator game; Altruism (biology); Microeconomics; Competitor analysis; Economics; Social psychology; Psychology; Political science; Law; Biology; Mathematics","score_opus":0.0227783959122839,"score_gpt":0.31545875851528793,"score_spread":0.292680362603004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382490577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94726866,0.0007996462,2.8301466e-7,0.016562378,0.00046428057,0.00055060734,0.000017459739,0.000076382865,0.034260318],"genre_scores_gemma":[0.9977347,0.00026329322,0.0000065085196,0.00024629268,0.00015710792,0.00012663323,0.0000019324955,0.00001557496,0.0014479362],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99874735,0.00027777615,0.0001940353,0.00019567076,0.00026093193,0.00032424743],"domain_scores_gemma":[0.9984138,0.0010373527,0.00013298419,0.00036581798,0.000018767576,0.000031270625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014500779,0.0001405399,0.00019318942,0.000025297868,0.0012864559,0.000083712934,0.0006395053,0.000052055195,0.00007173863],"category_scores_gemma":[0.00024984838,0.000063933534,0.0001357361,0.00020909258,0.0006907209,0.00006536875,0.00022862894,0.00016909225,0.0001609395],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012442052,0.00009796315,0.23653014,0.00003437985,0.00031039532,0.0000076476945,0.6712389,0.00043718223,0.0016835671,0.031421155,0.037778318,0.020335926],"study_design_scores_gemma":[0.0016043793,0.0016714303,0.27289197,0.00023936095,0.00025874047,0.000003735242,0.43758082,0.00046194377,0.028282005,0.0076426785,0.24833277,0.0010301827],"about_ca_topic_score_codex":0.004291506,"about_ca_topic_score_gemma":0.0009318158,"teacher_disagreement_score":0.23365809,"about_ca_system_score_codex":0.0000764034,"about_ca_system_score_gemma":0.000024287156,"threshold_uncertainty_score":0.9894509},"labels":[],"label_agreement":null},{"id":"W4386161701","doi":"10.3390/g14050059","title":"The Art of Sharing Resources: How to Distribute Water during a Drought Period","year":2023,"lang":"en","type":"article","venue":"Games","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water scarcity; Population; Water resources; Natural resource economics; Water resource management; Quarter (Canadian coin); Irrigation; Distribution (mathematics); Resource (disambiguation); Scarcity; Business; Water supply; Aquifer; Agriculture; Geography; Economics; Environmental science; Groundwater; Environmental engineering; Engineering; Computer science; Mathematics; Market economy; Ecology","score_opus":0.006908405219367586,"score_gpt":0.1793940355404146,"score_spread":0.17248563032104702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386161701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525523,0.000042269283,0.00093393127,0.001123476,0.00010984328,0.00013062696,0.0000048644433,0.00033678536,0.0020629736],"genre_scores_gemma":[0.98360765,0.000034955458,0.00007266614,0.0000066771927,0.00007244506,0.000025669244,0.00002680976,0.00002332149,0.016129792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994295,0.0000060007533,0.00010364486,0.00010636563,0.00011578451,0.00023867759],"domain_scores_gemma":[0.99974245,0.000007972603,0.0000108209415,0.00019703912,0.000011495288,0.000030240286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009719152,0.00008112088,0.0000820675,0.00006949538,0.000087983666,0.00012965995,0.00018791058,0.000020685302,0.000016404687],"category_scores_gemma":[0.000010351831,0.000052164734,0.000037260023,0.00018907523,0.000014458991,0.000069928465,0.00015101668,0.00004461631,0.000120469624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050209284,0.000012747578,0.007926878,0.0005413932,0.00022591738,0.000035930814,0.023159605,0.91657525,0.017573081,0.00018991552,0.030053345,0.0036557333],"study_design_scores_gemma":[0.00043334698,0.000030979387,0.015779225,0.000120287856,0.000032240037,0.0000024236613,0.0015287673,0.09999654,0.052709736,0.00012595889,0.8288575,0.0003830165],"about_ca_topic_score_codex":0.0000014944267,"about_ca_topic_score_gemma":0.0000069284097,"teacher_disagreement_score":0.8165787,"about_ca_system_score_codex":0.000016784517,"about_ca_system_score_gemma":4.3933161e-7,"threshold_uncertainty_score":0.21272162},"labels":[],"label_agreement":null},{"id":"W4387977135","doi":"10.3390/g14060068","title":"A Discrete-Time Homing Problem with Two Optimizers","year":2023,"lang":"en","type":"article","venue":"Games","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Continuation; Discrete time and continuous time; Mathematics; Stochastic process; Homing (biology); Random walk; Bellman equation; Expression (computer science); Function (biology); Mathematical optimization; Value (mathematics); Computer science; Mathematical economics; Applied mathematics; Combinatorics; Physics; Statistics","score_opus":0.016365752984667362,"score_gpt":0.2047840132144063,"score_spread":0.18841826022973895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387977135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7653281,0.0005984683,0.0062378775,0.0022929385,0.00030029917,0.00045073294,0.00023218588,0.00043263228,0.22412674],"genre_scores_gemma":[0.96846443,0.0001235227,0.006035844,0.0001670415,0.00011895248,0.000064276224,0.00003267296,0.000051295414,0.024941968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900717,0.000005508297,0.0002942748,0.00034451167,0.000016167145,0.00033240067],"domain_scores_gemma":[0.99946207,0.000040553896,0.00014956701,0.0002682071,0.000009164527,0.00007045255],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030782606,0.00013054711,0.00031106747,0.0001437596,0.000081000704,0.000082456776,0.00016969568,0.000039340484,0.00044969568],"category_scores_gemma":[0.000014518692,0.00012790407,0.0000734383,0.00018212084,0.00006356356,0.00020602046,0.00006950846,0.000077377714,0.0024501402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001006555,0.00003534659,0.013387011,0.000048884456,0.00021333742,0.000020790963,0.0027039447,0.022789996,0.00005127517,0.948356,0.008619111,0.0036736496],"study_design_scores_gemma":[0.0062001734,0.00045661355,0.006781237,0.00015806055,0.00004178331,0.000035492987,0.0016511241,0.12017862,0.000384613,0.59043247,0.27152732,0.0021524823],"about_ca_topic_score_codex":0.00012850497,"about_ca_topic_score_gemma":0.000011998514,"teacher_disagreement_score":0.35792354,"about_ca_system_score_codex":0.00004259714,"about_ca_system_score_gemma":0.000013861215,"threshold_uncertainty_score":0.99832654},"labels":[],"label_agreement":null},{"id":"W4399126368","doi":"10.3390/g15030019","title":"A Controlled Discrete-Time Queueing System as a Model for the Orders of Two Competing Companies","year":2024,"lang":"en","type":"article","venue":"Games","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queueing theory; Layered queueing network; Mathematical economics; Discrete time and continuous time; Computer science; Economics; Econometrics; Operations research; Mathematics; Statistics; Computer network","score_opus":0.01170931742728587,"score_gpt":0.2588644206419595,"score_spread":0.24715510321467365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399126368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34302205,0.0062863147,0.62510824,0.002952909,0.0007013679,0.0023081955,0.000023718932,0.0013932344,0.018204005],"genre_scores_gemma":[0.9978797,0.0000027066167,0.00074873306,0.00017919969,0.00038630154,0.00008827046,0.000008396126,0.000034702018,0.0006719804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990563,0.00002111968,0.00032793262,0.00019505783,0.00016238572,0.00023719526],"domain_scores_gemma":[0.9987109,0.00078229787,0.00019246018,0.00020591206,0.000101228325,0.000007252729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080267095,0.0001601065,0.0004179036,0.00014988943,0.00019346981,0.0002147704,0.00022363952,0.000024727027,0.000038444698],"category_scores_gemma":[0.0002179336,0.000104244085,0.000262239,0.0003091615,0.00008190721,0.00045943508,0.00009979854,0.000081435544,0.00006511863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002724987,0.000016737602,0.00008688426,0.0009268815,0.00052774505,0.0000024642923,0.00055191806,0.35279256,0.0012041809,0.64184874,0.00016155855,0.0016078177],"study_design_scores_gemma":[0.0008066123,0.0000030975903,0.0000037413456,0.00031752308,0.0005772918,0.0000011091214,0.0021453032,0.9863221,0.000026712505,0.008447905,0.0012202591,0.00012836423],"about_ca_topic_score_codex":0.00017346785,"about_ca_topic_score_gemma":0.000027737531,"teacher_disagreement_score":0.6548577,"about_ca_system_score_codex":0.000026063255,"about_ca_system_score_gemma":0.000016135395,"threshold_uncertainty_score":0.42509505},"labels":[],"label_agreement":null},{"id":"W4401339458","doi":"10.1108/978-1-80043-594-020241008","title":"Conclusion","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","score_opus":0.018591402880924056,"score_gpt":0.25467381511344767,"score_spread":0.2360824122325236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339458","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016656353,0.009914003,0.0000012057535,0.00013801677,0.00071627507,0.00014883759,0.00036025673,0.0005489458,0.9881558],"genre_scores_gemma":[0.00097165117,0.0001547297,0.00004540019,0.00010355369,0.0005541698,0.0000042264883,0.00011547265,0.00033446916,0.9977163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990218,0.0000033271622,0.00016667882,0.00034990624,0.00030587544,0.00015237769],"domain_scores_gemma":[0.9994367,0.000028039567,0.00007175955,0.0003618454,0.00004120845,0.000060442457],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008126196,0.00026834584,0.00026144835,0.00017474941,0.000028075405,0.00004479018,0.00015992568,0.0002734061,0.0059270435],"category_scores_gemma":[0.000009399938,0.00023783934,0.00016725423,0.000015023833,0.00009454361,0.000027570233,0.0003018452,0.00036194062,0.2874012],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007928102,0.0000020822479,7.193213e-7,0.00006699325,0.00008464275,0.00017508178,0.00012650248,4.989896e-7,0.00028814786,0.6074376,0.38547295,0.0063368287],"study_design_scores_gemma":[0.000054987064,0.000016383201,0.0000027291296,0.00040954514,0.000093136885,0.000017739061,0.0000031175528,0.000008443432,0.00005791343,0.13534199,0.8637662,0.00022783461],"about_ca_topic_score_codex":0.0000057933653,"about_ca_topic_score_gemma":0.0000133865515,"teacher_disagreement_score":0.47829324,"about_ca_system_score_codex":0.0001221009,"about_ca_system_score_gemma":0.000051173818,"threshold_uncertainty_score":0.99498165},"labels":[],"label_agreement":null},{"id":"W4401339467","doi":"10.1108/978-1-80043-594-020241002","title":"Games in Medicine","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Psychology","score_opus":0.04545318875862546,"score_gpt":0.35076205301832114,"score_spread":0.30530886425969567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339467","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012761547,0.026671506,0.000007747796,0.008942123,0.0026219285,0.0001911419,0.000025180507,0.00007215255,0.9613406],"genre_scores_gemma":[0.0077469386,0.00069676474,0.00003965938,0.0006140419,0.0012945054,0.000054009586,0.00015793204,0.00006513176,0.989331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987612,0.000012334723,0.00037691038,0.00047621835,0.00019148168,0.00018190537],"domain_scores_gemma":[0.9992212,0.00012348643,0.00011294627,0.00043824865,0.000046782392,0.00005733165],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017620406,0.0002398677,0.0003260463,0.00035199444,0.000012044212,0.000014390979,0.00018421482,0.00031414768,0.017669955],"category_scores_gemma":[0.000019403655,0.0002054824,0.00008489827,0.000050944975,0.0001493979,0.000021823762,0.00002865345,0.00041904126,0.0058365953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007970084,0.000015404903,0.00006182982,0.000040786384,0.00006007522,0.000022581122,0.0025959362,3.405319e-7,0.0000045911183,0.81079185,0.15545258,0.03094605],"study_design_scores_gemma":[0.000118242395,0.00004163572,0.0037058257,0.00035760226,0.000044536806,0.000015413088,0.00034372704,0.0000012948683,7.486596e-7,0.15945618,0.8357477,0.00016705648],"about_ca_topic_score_codex":0.000098029435,"about_ca_topic_score_gemma":0.00006606732,"teacher_disagreement_score":0.68029517,"about_ca_system_score_codex":0.000074042684,"about_ca_system_score_gemma":0.000044185817,"threshold_uncertainty_score":0.9949375},"labels":[],"label_agreement":null},{"id":"W4401339479","doi":"10.1108/978-1-80043-594-020241004","title":"Empathy Games","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Empathy; Psychology; Social psychology","score_opus":0.03507585189235568,"score_gpt":0.3245245290915933,"score_spread":0.2894486771992376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339479","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029103549,0.002907049,0.0000050148506,0.0110961115,0.003249661,0.000115243834,0.000008803937,0.00021992382,0.98236907],"genre_scores_gemma":[0.0025571391,0.0012233314,0.00025166437,0.001408994,0.0009166035,0.000011815636,0.000013253244,0.000029975778,0.9935872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988772,0.000014771029,0.00017878742,0.0002718611,0.00043758276,0.00021974841],"domain_scores_gemma":[0.99950916,0.00008775336,0.000034953988,0.00015464575,0.000076937205,0.00013653742],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029262056,0.00015302357,0.00017858628,0.00009253595,0.000160047,0.00016854343,0.00021097578,0.00024087582,0.0072180615],"category_scores_gemma":[0.00007923483,0.00014370173,0.00012039563,0.00003340265,0.00027334478,0.000039165578,0.000049106256,0.00028739843,0.0052670916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.352194e-7,0.000005034686,0.000003729287,0.000021652131,0.000023436325,0.000008880501,0.014768947,1.7067073e-8,1.5290898e-7,0.8960748,0.07285783,0.016235001],"study_design_scores_gemma":[0.000010902783,0.0000038472513,0.000009787518,0.0001263845,0.000016374945,4.1325373e-7,0.0009678444,9.042491e-8,0.0000014338175,0.40128586,0.5974612,0.000115814335],"about_ca_topic_score_codex":0.00004524549,"about_ca_topic_score_gemma":0.00011415123,"teacher_disagreement_score":0.5246034,"about_ca_system_score_codex":0.00013320627,"about_ca_system_score_gemma":0.00041135994,"threshold_uncertainty_score":0.9955074},"labels":[],"label_agreement":null},{"id":"W4401339490","doi":"10.1108/978-1-80043-594-020241003","title":"Games for Creative Mental Health","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Art Therapy and Mental Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mental health; Psychology; Psychotherapist","score_opus":0.05614544862183032,"score_gpt":0.302899067366333,"score_spread":0.24675361874450266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022502365,0.015493055,0.00000637976,0.003684233,0.0018012186,0.0009444445,0.0020473436,0.00014565022,0.9758552],"genre_scores_gemma":[0.0009453499,0.002463506,0.00005520537,0.0024507176,0.0016722869,0.000063607426,0.00045796024,0.00008473241,0.9918066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989676,0.0000074426193,0.00028811127,0.00031374607,0.00014763112,0.00027549572],"domain_scores_gemma":[0.9995431,0.000037379792,0.00013253307,0.00014967468,0.000033750726,0.0001035763],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011424174,0.00028049192,0.00038362906,0.00009620898,0.00037138708,0.000082975144,0.00009930238,0.00007726091,0.0060742227],"category_scores_gemma":[0.0000011496851,0.0002285394,0.00022322797,0.0000029737146,0.00021683089,0.00006797236,0.000037775077,0.00018919111,0.00054240343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041029623,0.000012310915,9.6836146e-8,0.000263268,0.00009386936,0.0000011181967,0.031384796,2.5148385e-8,2.9541036e-7,0.73685586,0.20308283,0.028264515],"study_design_scores_gemma":[0.00018583346,0.00046907825,3.442973e-7,0.00050492695,0.000022420105,0.0000025091376,0.002096546,0.0000033594395,0.0000070870265,0.10403499,0.89247245,0.00020043718],"about_ca_topic_score_codex":0.00010852147,"about_ca_topic_score_gemma":0.0008861797,"teacher_disagreement_score":0.68938965,"about_ca_system_score_codex":0.00017431739,"about_ca_system_score_gemma":0.00012406931,"threshold_uncertainty_score":0.99483436},"labels":[],"label_agreement":null},{"id":"W4401339539","doi":"10.1108/978-1-80043-594-020241001","title":"Games for Creative Health","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Art Therapy and Mental Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Psychology; Computer science","score_opus":0.07022645305717191,"score_gpt":0.307949291466109,"score_spread":0.2377228384089371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339539","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011566562,0.016573258,0.000014432467,0.0024577773,0.001331963,0.00071835326,0.0009383023,0.00014955456,0.9778048],"genre_scores_gemma":[0.0009070603,0.0021050735,0.000056159843,0.0025921997,0.001999716,0.00006830148,0.00020005903,0.00008157531,0.99198985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990452,0.0000067705223,0.00027261692,0.00029319827,0.00012455751,0.0002576611],"domain_scores_gemma":[0.9995121,0.000058082453,0.00012826269,0.00016109252,0.00004491302,0.00009556522],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011980382,0.00025466294,0.00038120267,0.0000947684,0.00027669128,0.00007829819,0.00009444195,0.00008004929,0.005437881],"category_scores_gemma":[0.000001837333,0.00020431727,0.00020743228,0.0000028178401,0.00019316172,0.000056165438,0.000029339973,0.00019468518,0.00061182445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027804479,0.000008843147,7.47142e-8,0.00036727253,0.00007811668,0.0000016028916,0.021263108,4.9916952e-8,1.12909994e-7,0.7985415,0.13997866,0.039732896],"study_design_scores_gemma":[0.00011321688,0.00036653102,3.4765017e-7,0.00044967336,0.000024003186,0.0000014556256,0.0011159317,0.000002374964,0.00000357939,0.20235533,0.79540515,0.0001624198],"about_ca_topic_score_codex":0.00011576159,"about_ca_topic_score_gemma":0.0009319199,"teacher_disagreement_score":0.6554265,"about_ca_system_score_codex":0.000120572855,"about_ca_system_score_gemma":0.0001389397,"threshold_uncertainty_score":0.9954713},"labels":[],"label_agreement":null},{"id":"W4401339873","doi":"10.1108/978-1-80043-594-020241006","title":"Accessible Games","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","score_opus":0.03961473076632446,"score_gpt":0.3261597351787704,"score_spread":0.2865450044124459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339873","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004980909,0.004906925,9.543267e-7,0.0014041624,0.0019104038,0.00034420975,0.00015450666,0.00060487946,0.99017584],"genre_scores_gemma":[0.025910463,0.00055508333,0.000031329833,0.00016236206,0.00093726645,0.00002653236,0.000031784304,0.00008006079,0.9722651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976848,0.000018746145,0.0004067016,0.0006631043,0.0007736886,0.00045296206],"domain_scores_gemma":[0.99884886,0.00020962962,0.00013178511,0.00050704705,0.00011897899,0.00018372852],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038827048,0.000356483,0.00044132274,0.00018245757,0.00019473962,0.001091245,0.00081240304,0.0004267741,0.0068491898],"category_scores_gemma":[0.00019099498,0.00032769583,0.0004014888,0.000082535495,0.0013680721,0.00071208307,0.00030583405,0.00038287006,0.004017546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043063146,0.00001435333,0.00011772704,0.00017403213,0.00006275198,0.000011086564,0.0025171428,2.5050596e-7,3.5060827e-7,0.9328055,0.03470563,0.029586898],"study_design_scores_gemma":[0.000021277234,0.000011792247,0.000018280387,0.000175787,0.00003319073,4.1371848e-7,0.000729043,3.9648737e-7,0.0000041943217,0.46363318,0.5351573,0.00021515282],"about_ca_topic_score_codex":0.0004495037,"about_ca_topic_score_gemma":0.0023353256,"teacher_disagreement_score":0.5004517,"about_ca_system_score_codex":0.00026735885,"about_ca_system_score_gemma":0.00041644883,"threshold_uncertainty_score":0.9999457},"labels":[],"label_agreement":null},{"id":"W4401339950","doi":"10.1108/978-1-80043-594-020241007","title":"Making Games for Creative Health: A DIY Guide","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Art Therapy and Mental Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Psychology","score_opus":0.1354847562968317,"score_gpt":0.36003784833054825,"score_spread":0.22455309203371654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401339950","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010608363,0.017976843,0.000036342022,0.0023951929,0.0013601966,0.0008175149,0.00076442846,0.0001764986,0.97646236],"genre_scores_gemma":[0.0013720506,0.0014382438,0.00017444772,0.0035883207,0.0022690452,0.00009763548,0.00013763068,0.00010481196,0.9908178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987213,0.000010260994,0.00041010804,0.0003641127,0.00016060445,0.00033362972],"domain_scores_gemma":[0.999375,0.00008994267,0.00019273833,0.00020112026,0.000059669954,0.00008153998],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001718782,0.00031458045,0.00045752796,0.00012579045,0.000370486,0.000117577845,0.00012828456,0.00009727632,0.0040391497],"category_scores_gemma":[0.000004616494,0.0002593418,0.0002541392,0.0000043495943,0.00019830857,0.0000735418,0.000052451098,0.0002274967,0.00037711678],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034600773,0.000009110265,1.6162747e-7,0.0004775303,0.0000989772,0.00000408135,0.027117573,1.1867046e-7,2.248046e-7,0.7757079,0.14531645,0.051233258],"study_design_scores_gemma":[0.00013350682,0.00032606156,5.026216e-7,0.00125517,0.00003611325,0.000003256316,0.001932495,0.000006220214,0.0000031586992,0.14326788,0.85281324,0.00022239052],"about_ca_topic_score_codex":0.00013764751,"about_ca_topic_score_gemma":0.0016235983,"teacher_disagreement_score":0.7074968,"about_ca_system_score_codex":0.00018657967,"about_ca_system_score_gemma":0.000157552,"threshold_uncertainty_score":0.9999859},"labels":[],"label_agreement":null},{"id":"W4401340623","doi":"10.1108/978-1-80043-594-020241005","title":"Community Care Games","year":2024,"lang":"en","type":"book-chapter","venue":"Games","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Sociology; Business","score_opus":0.09184962126982199,"score_gpt":0.4042114907667971,"score_spread":0.3123618694969751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401340623","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015505849,0.0092363125,8.699029e-7,0.002525334,0.001632203,0.00034743073,0.000076811855,0.0002816502,0.98574436],"genre_scores_gemma":[0.02505414,0.0028704095,0.000049485498,0.00013184412,0.0011929616,0.000019720432,0.00001874447,0.00003987463,0.97062284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971753,0.00024992242,0.00023430039,0.0003370431,0.0014456983,0.0005577577],"domain_scores_gemma":[0.99854565,0.0003728771,0.000100778416,0.00045015253,0.000251586,0.00027894136],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014308108,0.00024536857,0.00033611667,0.00015686103,0.0013910518,0.0005079821,0.0013726956,0.0004658576,0.0036306793],"category_scores_gemma":[0.00036567738,0.00022332632,0.00026136596,0.00013444536,0.0026225834,0.000183515,0.00039898965,0.0013815191,0.0018026781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025200363,0.000006137754,0.00004185292,0.00008658764,0.000042105774,0.0000248976,0.08174578,2.714129e-7,0.0000018843124,0.7817754,0.06890534,0.067367226],"study_design_scores_gemma":[0.000023056391,0.000029611601,0.000029494586,0.00016234742,0.000019730634,3.1618484e-7,0.024208209,2.759597e-7,0.0000037762013,0.17735495,0.7979604,0.00020780494],"about_ca_topic_score_codex":0.008326915,"about_ca_topic_score_gemma":0.019899542,"teacher_disagreement_score":0.7290551,"about_ca_system_score_codex":0.00047767741,"about_ca_system_score_gemma":0.0008116652,"threshold_uncertainty_score":0.999909},"labels":[],"label_agreement":null},{"id":"W4408321261","doi":"10.3390/g16020014","title":"Greenwashing Risks in Environmental Quality Competition: Detection and Deterrence","year":2025,"lang":"en","type":"article","venue":"Games","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Deterrence (psychology); Competition (biology); Greenwashing; Quality (philosophy); Economics; Business; Natural resource economics; Risk analysis (engineering); Sustainability; Law and economics; Ecology; Biology","score_opus":0.018113858609071182,"score_gpt":0.2566432640725003,"score_spread":0.23852940546342913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408321261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655056,0.00013776471,0.0005378749,0.00077488093,0.0001276862,0.00018170588,0.0000010414614,0.000044300898,0.0016441727],"genre_scores_gemma":[0.9988213,0.000020265104,0.000056243174,0.00091956515,0.00007947206,0.000024744919,0.0000072873977,0.0000062094937,0.00006488945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992403,0.00001934896,0.00020710148,0.0002518949,0.00011865991,0.00016270479],"domain_scores_gemma":[0.99972135,0.00004342582,0.000070960894,0.0001531267,0.000005601431,0.0000055531978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027710485,0.00011187794,0.00012604581,0.00014174092,0.00010884752,0.000109776454,0.00009695009,0.000052250078,0.00008653038],"category_scores_gemma":[0.000060124985,0.000119910015,0.000025003172,0.00019029937,0.0001387879,0.00088494865,0.00022003676,0.00011283528,0.000026803535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022022105,0.00006224324,0.9381742,0.00013064491,0.000004124,0.0000035107107,0.000038511917,0.0000810457,0.0020785078,0.0015771651,0.0000070140554,0.057821],"study_design_scores_gemma":[0.00031999193,0.0000026136033,0.99008906,0.000037652408,0.000009354182,7.6565505e-7,0.0005996298,0.00072865124,0.00022976255,0.0028666437,0.0049925647,0.0001233303],"about_ca_topic_score_codex":0.0012674466,"about_ca_topic_score_gemma":0.0006332127,"teacher_disagreement_score":0.057697672,"about_ca_system_score_codex":0.00012219729,"about_ca_system_score_gemma":0.0000033211186,"threshold_uncertainty_score":0.48897883},"labels":[],"label_agreement":null},{"id":"W4409637517","doi":"10.3390/g16020020","title":"Two-Tier Marketplace with Multi-Resource Bidding and Strategic Pricing for Multi-QoS Services","year":2025,"lang":"en","type":"article","venue":"Games","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Bidding; Quality of service; Business; Differentiated services; Industrial organization; Resource (disambiguation); Microeconomics; Environmental economics; Computer science; Computer network; Economics; Marketing","score_opus":0.024223249736422703,"score_gpt":0.27703110977524165,"score_spread":0.25280786003881894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409637517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36638588,0.0009383443,0.6277881,0.00037435303,0.0014817282,0.00042604518,5.109071e-7,0.00027700077,0.0023280412],"genre_scores_gemma":[0.5401253,0.000008661179,0.45607445,0.0006821565,0.00052697054,0.00003138448,0.0000029598505,0.00002263852,0.0025254593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989303,0.000039630955,0.00016228668,0.00041781104,0.000103284496,0.00034669132],"domain_scores_gemma":[0.99936473,0.00017778821,0.000077855286,0.00026234397,0.000059786747,0.00005749226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029630333,0.0001670614,0.00017919828,0.00013504569,0.0002438858,0.00032801824,0.00040840093,0.000045467303,5.639896e-7],"category_scores_gemma":[0.00001132095,0.00013610542,0.00003383014,0.00030597296,0.000033459186,0.00021843727,0.00024940164,0.00010524624,0.0000024044277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005260573,0.00080195675,0.1417211,0.0055095446,0.00088728085,0.00012269839,0.046214566,0.006309957,0.008801473,0.03427745,0.0061895545,0.74863833],"study_design_scores_gemma":[0.0015890354,0.00005416943,0.0053557768,0.0003603593,0.000019766585,0.000008931236,0.00058866304,0.98308057,0.00076128123,0.00021826227,0.0077032684,0.00025992788],"about_ca_topic_score_codex":0.000047532143,"about_ca_topic_score_gemma":0.000024702716,"teacher_disagreement_score":0.9767706,"about_ca_system_score_codex":0.000024424487,"about_ca_system_score_gemma":0.000049320446,"threshold_uncertainty_score":0.55502176},"labels":[],"label_agreement":null},{"id":"W4415209079","doi":"10.3390/g16050054","title":"Classifying Limited-Move Stability Cycles in 2 × 2 Games","year":2025,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ranking (information retrieval); Graph; Stability (learning theory); Preference; Repeated game; Coordination game; Game theory","score_opus":0.11404345869004419,"score_gpt":0.40458710152266497,"score_spread":0.2905436428326208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415209079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9356963,0.0003484274,0.0022261015,0.0037548475,0.00021800617,0.00019781957,0.0000145027825,0.00007451681,0.05746945],"genre_scores_gemma":[0.9944561,0.000021316153,0.00043546822,0.00049630314,0.000026193318,0.000049561655,0.0000019538288,0.0000047370877,0.004508361],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99809176,0.00025915282,0.00053369993,0.0004887986,0.00037980574,0.0002467999],"domain_scores_gemma":[0.9967808,0.0021511116,0.00010301409,0.00079823745,0.00010978705,0.00005706431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026849,0.00011958836,0.00025069067,0.0002963205,0.00010475604,0.00016877278,0.00066167465,0.0000798064,0.0005416902],"category_scores_gemma":[0.0024952493,0.00009298669,0.00009509817,0.0012857686,0.00021148854,0.00020338024,0.00017565828,0.00018430653,0.0003259961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068666974,0.000297457,0.24411336,0.000018011244,0.000018613975,0.0000047116205,0.0022004778,0.00017741405,0.004512877,0.32209593,0.010229942,0.41626254],"study_design_scores_gemma":[0.00021981438,0.000009400486,0.37438148,0.000029559767,0.000005639558,7.771222e-7,0.003572227,0.0005259727,0.0054744403,0.55155635,0.06410529,0.00011902019],"about_ca_topic_score_codex":0.000025521134,"about_ca_topic_score_gemma":0.0001284103,"teacher_disagreement_score":0.4161435,"about_ca_system_score_codex":0.000046933386,"about_ca_system_score_gemma":0.0000786663,"threshold_uncertainty_score":0.59311277},"labels":[],"label_agreement":null},{"id":"W4416138593","doi":"10.3390/g16060059","title":"Linear Programming for Computing Equilibria Under Truncation Selection and Designing Defensive Strategies Against Malicious Opponents","year":2025,"lang":"en","type":"article","venue":"Games","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Minimax; Stochastic game; Truncation (statistics); Linear programming; Game theory; Replicator equation; Representation (politics); Selection (genetic algorithm)","score_opus":0.08656563917580605,"score_gpt":0.4076682094963147,"score_spread":0.32110257032050865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416138593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5878056,0.000069988804,0.41070193,0.00036552848,0.00006723586,0.00033193943,0.000002056135,0.000059518883,0.000596154],"genre_scores_gemma":[0.9780514,0.000005671951,0.021187998,0.00019695895,0.000056553043,0.000043674463,0.000009426796,0.000007326606,0.00044098118],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988418,0.00010922777,0.0003256383,0.0003438732,0.00018580328,0.00019364414],"domain_scores_gemma":[0.99836934,0.0010101395,0.00014970505,0.0001600968,0.00027051504,0.000040180483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009948943,0.000104550876,0.0001594215,0.00016139136,0.00033264596,0.00035208472,0.00016797434,0.000060602546,0.000004511042],"category_scores_gemma":[0.00047149777,0.000089933936,0.000048775615,0.0004737782,0.0000703837,0.00023085384,0.000059338327,0.00007256049,0.000009865396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107777305,0.00008866361,0.0037603662,0.000047606027,0.00007371344,5.382878e-7,0.0024019564,0.01407092,0.07111884,0.19142215,0.00076486013,0.7161426],"study_design_scores_gemma":[0.0015171632,0.00019248422,0.022306094,0.00019108749,0.00010675524,0.000012370354,0.031503513,0.26174966,0.018416815,0.64626706,0.01720165,0.0005353389],"about_ca_topic_score_codex":0.0000070215624,"about_ca_topic_score_gemma":0.00001315983,"teacher_disagreement_score":0.7156073,"about_ca_system_score_codex":0.000024497795,"about_ca_system_score_gemma":0.00008144164,"threshold_uncertainty_score":0.36673996},"labels":[],"label_agreement":null}]}