{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":675,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":675,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"b5ca8b9a6e48","filters":{"topic":"Game Theory and Applications"}},"results":[{"id":"W2103315867","doi":"10.7939/r3q23r282","title":"Regret Minimization in Games with Incomplete Information","year":2007,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":510,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Regret; Counterfactual thinking; Nash equilibrium; Complete information; Computer science; Limit (mathematics); Domain (mathematical analysis); Mathematical optimization; Mathematical economics; Exploit; Repeated game; Correlated equilibrium; Best response; Minification; Game theory; Equilibrium selection; Mathematics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.06042400712928032,"gpt":0.3601756060542456,"spread":0.2997515989249653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777465,0.00005057399,0.00007811884,0.0002665521,0.00004737369,0.00008377623,0.0002123624,0.00002895796,0.0005190516],"category_scores_gemma":[0.0003286751,0.00003152631,0.00001704142,0.0009422346,0.00004880182,0.0007047402,0.00002490273,0.00004737811,0.0005000078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001474945,"about_ca_system_score_gemma":0.00001849331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002081822,"about_ca_topic_score_gemma":0.0002800483,"domain_scores_codex":[0.9990011,0.00003271925,0.0003695879,0.0001039537,0.0003799838,0.0001126212],"domain_scores_gemma":[0.9990416,0.0004286099,0.0001101211,0.0002513636,0.0001285701,0.00003975762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002455771,0.00007858936,0.08295858,0.000003687305,0.000006205195,0.000002478434,0.004091748,0.002305248,0.0002160856,0.5785154,0.007369929,0.3242065],"study_design_scores_gemma":[0.001080328,0.0001118374,0.5563843,0.00001927265,0.000005097484,0.00001816277,0.008328038,0.005538891,0.002690201,0.1673598,0.2581792,0.0002849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5249602,0.000003770095,0.3388018,0.0008890741,0.0000277668,0.0001757933,0.000003263674,0.00003861333,0.1350997],"genre_scores_gemma":[0.9920692,7.721577e-7,0.006439287,0.0004292942,0.00001168621,0.00000591582,0.0000098123,0.000001782935,0.00103222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734257,"threshold_uncertainty_score":0.6426755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3090497192","doi":"10.1257/aer.104.3.898","title":"Strategic Interaction and Networks","year":2014,"lang":"en","type":"article","venue":"American Economic Review","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":470,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Nash equilibrium; Economics; Mathematical economics; Microeconomics; Eigenvalues and eigenvectors; Class (philosophy); Game theory; Graph; Social network (sociolinguistics); Strategic interaction; Econometrics; Computer science; Mathematics; Physics; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.101214082556179,"gpt":0.4067658852619169,"spread":0.3055518027057378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001458311,0.00006924583,0.0002810959,0.00002962747,0.00005104433,0.00007159038,0.0002225069,0.000009135282,0.0004586006],"category_scores_gemma":[0.0001038898,0.00005175157,0.00005067532,0.0001184815,0.0001582827,0.0001177917,0.00003686501,0.00006317868,0.001207465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001457826,"about_ca_system_score_gemma":0.00001033475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002227068,"about_ca_topic_score_gemma":0.00001593441,"domain_scores_codex":[0.9990601,0.0001845258,0.0003578439,0.0002535683,0.00004969182,0.00009430492],"domain_scores_gemma":[0.998644,0.0005832514,0.0003046149,0.000383876,0.00001649485,0.00006778101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001605309,0.000004533459,0.0003510889,0.000007634954,0.000004152967,5.047778e-8,0.000007993145,0.0001458341,0.000002973427,0.0605349,0.00276417,0.936175],"study_design_scores_gemma":[0.0000896397,0.00008961106,0.0037373,0.0001649738,0.00002959154,0.0000291094,0.0003251557,0.0149493,0.000004311189,0.07657386,0.9037974,0.0002096905],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602688,0.02214908,0.02280002,0.01292735,0.0006024822,0.0009051086,0.000007574408,0.0001215837,0.380218],"genre_scores_gemma":[0.9837732,0.01344719,0.0001580296,0.002238292,0.00007750034,0.00002214847,0.000001640087,0.00000455275,0.000277436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9359654,"threshold_uncertainty_score":0.9995702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111589951","doi":"10.2200/s00108ed1v01y200802aim003","title":"Essentials of Game Theory: A Concise Multidisciplinary Introduction","year":2008,"lang":"en","type":"article","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":381,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Game theory; Field (mathematics); Multidisciplinary approach; Computer science; Notation; Data science; Epistemology; Management science; Sociology; Social science; Mathematical economics; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1253534313265015,"gpt":0.3695890453793341,"spread":0.2442356140528325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002511317,0.0001876535,0.0003719929,0.0003055862,0.000498533,0.00006178091,0.0003538796,0.00008768167,0.001244254],"category_scores_gemma":[0.008073512,0.0001369803,0.0001286514,0.0005336141,0.0005299609,0.0001305505,0.00009772011,0.0003222787,0.0002864331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000117505,"about_ca_system_score_gemma":0.0000323911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003085602,"about_ca_topic_score_gemma":0.00002036685,"domain_scores_codex":[0.997305,0.0007637698,0.0006581473,0.0005328646,0.0005145208,0.0002256577],"domain_scores_gemma":[0.9951774,0.003829542,0.0003327509,0.0004075639,0.0001615437,0.0000911272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008692273,0.0003174527,0.00106181,0.00001299338,0.00005126821,0.00001051257,0.005530635,0.03379378,0.0710014,0.2285934,0.0001668248,0.6585907],"study_design_scores_gemma":[0.00002911664,0.0002008825,0.001153676,0.0000241902,0.00003411889,0.00003766123,0.001536277,0.007816319,0.5940843,0.3920095,0.002836174,0.0002377835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720406,0.0002593399,0.1227535,0.002615804,0.0001859178,0.0002676281,0.0000122553,0.00008352003,0.001781458],"genre_scores_gemma":[0.9987366,0.0001048646,0.0003198003,0.00005874716,0.0002369131,0.00002700691,0.000003290628,0.00001542519,0.0004973838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6583529,"threshold_uncertainty_score":0.9996687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123506665","doi":"10.1016/b978-0-444-53766-9.00003-3","title":"Games on Networks","year":2014,"lang":"en","type":"book-chapter","venue":"Handbook of game theory and economic applications","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":313,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.04201341203048288,"gpt":0.3036036612163156,"spread":0.2615902491858327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002811223,0.0003797612,0.0007698797,0.0002832453,0.0002088263,0.00009498758,0.0008783739,0.0003432767,0.002641369],"category_scores_gemma":[0.00007682139,0.0003313053,0.0002622568,0.00003780511,0.0008783406,0.00006702256,0.0001733969,0.0003367268,0.003117366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000446519,"about_ca_system_score_gemma":0.00006234062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001455462,"about_ca_topic_score_gemma":0.000005801637,"domain_scores_codex":[0.9975439,0.0001248649,0.001034703,0.0008498866,0.0002119642,0.000234733],"domain_scores_gemma":[0.9933059,0.003889804,0.0009199412,0.001606545,0.00008853334,0.0001892698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007933683,0.00001342273,0.000004802908,0.000006271449,0.00004470983,1.268172e-7,0.00005849205,0.0004744736,0.00001383006,0.8949596,0.002329221,0.1020157],"study_design_scores_gemma":[0.0001385928,0.00004855331,0.00001320791,0.00006401401,0.00004799535,0.000004769068,0.00002300697,0.0001972218,0.000100994,0.6071011,0.3920575,0.0002029879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002788425,0.00166643,0.2343835,0.0001780724,0.0000982741,0.0008274944,0.0001847798,0.00006743221,0.7623152],"genre_scores_gemma":[0.2196684,0.001641871,0.0003340321,0.0005977941,0.0006714025,0.0004134073,0.00007141574,0.00009261006,0.776509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3897283,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2312142720","doi":"10.1109/tsmca.2004.826282","title":"Preference Uncertainty in the Graph Model for Conflict Resolution","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":239,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Decision maker; Conflict resolution; Graph; Stability (learning theory); Computer science; Mathematics; Mathematical economics; Artificial intelligence; Theoretical computer science; Machine learning; Operations research; Statistics; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1832036502582667,"gpt":0.3408655899617886,"spread":0.1576619397035219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001981964,0.000208968,0.0003429484,0.0002102699,0.0005813937,0.0004712147,0.0003394737,0.0001284323,0.000004404948],"category_scores_gemma":[0.00001420866,0.000140314,0.00008926393,0.0002775494,0.0002201686,0.0001253727,0.000002670253,0.0001975403,0.00001634087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003543982,"about_ca_system_score_gemma":0.00004114196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004659235,"about_ca_topic_score_gemma":0.001058066,"domain_scores_codex":[0.9977777,0.0002289325,0.0007101181,0.0005118356,0.0004903277,0.0002810768],"domain_scores_gemma":[0.9985738,0.0004507292,0.0001847971,0.0005478099,0.0001380897,0.0001047276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007712181,0.0002007934,0.00002898819,0.00007697408,0.00002955495,0.000001303874,0.01053414,0.6681961,0.0001704544,0.3193128,0.0005781926,0.0007935523],"study_design_scores_gemma":[0.005482146,0.001031447,0.001172241,0.000921489,0.000238699,0.0001453363,0.03238423,0.7692595,0.0001103476,0.1020691,0.08592521,0.00126024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3352436,0.0007341708,0.6589967,0.0003896538,0.0004648535,0.002059639,0.0002400826,0.00005109607,0.001820151],"genre_scores_gemma":[0.9957043,0.000137625,0.00003734873,0.00007605581,0.00006909954,0.0007461817,0.000003850356,0.00001313422,0.00321243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6604607,"threshold_uncertainty_score":0.5721837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111733430","doi":"10.2139/ssrn.556917","title":"Sequential Estimation of Dynamic Discrete Games","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":237,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Sequential game; Estimation; Computer science; Discrete choice; Mathematical economics; Mathematical optimization; Mathematics; Economics; Game theory; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.01736744490295732,"gpt":0.3451045171239644,"spread":0.3277370722210071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003646947,0.00008596683,0.0001562108,0.0001602109,0.0001615922,0.00008332482,0.0004705037,0.00004149038,0.0001253714],"category_scores_gemma":[0.0002056669,0.00006302898,0.0001269096,0.0003791515,0.0001048454,0.0002511809,0.00003125404,0.0004901326,0.0001123233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799192,"about_ca_system_score_gemma":0.0005605267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003224742,"about_ca_topic_score_gemma":0.0002741105,"domain_scores_codex":[0.997843,0.0001400682,0.0005260389,0.0001700018,0.0005732906,0.0007476248],"domain_scores_gemma":[0.999029,0.0001903279,0.0003653039,0.0002530729,0.0001270004,0.00003527979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002904831,0.0000438776,0.0002728585,9.626394e-7,0.00001976243,5.346433e-7,0.00005435343,0.005097254,0.004604274,0.8997349,0.0001299987,0.09001216],"study_design_scores_gemma":[0.0002010958,0.00006451463,0.001940279,0.000004741987,0.00001590669,0.0001210902,0.000442743,0.006986203,0.0006738764,0.9890507,0.0004298131,0.00006900173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530371,0.0003714639,0.3435562,0.0006917012,0.0000722552,0.00006625387,0.000005128985,0.00001414029,0.002185733],"genre_scores_gemma":[0.9951245,0.0000648994,0.0005429193,0.0000117776,0.00007114028,0.0000031768,0.000004603354,0.00000733646,0.004169715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430133,"threshold_uncertainty_score":0.2570247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1500428599","doi":"10.1109/sfcs.2005.68","title":"Sink Equilibria and Convergence","year":2005,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":229,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Inefficiency; Mathematical optimization; Mathematics; Mathematical economics; Vertex (graph theory); Graph; Computer science; Combinatorics; Economics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.1209204780818277,"gpt":0.4106595465523904,"spread":0.2897390684705627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006422696,0.00003477477,0.00005624891,0.00002933478,0.00005806295,0.00006657302,0.0002116062,0.00001690915,0.005352393],"category_scores_gemma":[0.000208543,0.00002304158,0.00001555818,0.0001751075,0.00008173812,0.000172934,0.00006268921,0.00002599269,0.003155504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002357923,"about_ca_system_score_gemma":0.000008384924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002067614,"about_ca_topic_score_gemma":0.000008294079,"domain_scores_codex":[0.9993923,0.00002823319,0.0001482122,0.0001643616,0.0001899604,0.00007692605],"domain_scores_gemma":[0.999278,0.0003500946,0.00002732752,0.0002444744,0.00003950259,0.000060599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005706816,0.00002222364,0.002925531,3.355053e-7,0.000001964774,2.720518e-7,0.0002300637,0.00001446307,0.01533814,0.8126742,0.02253059,0.1462565],"study_design_scores_gemma":[0.0001320319,0.00001494919,0.01255995,0.000001123634,0.000002588548,0.000008979482,0.0003005159,0.00723191,0.006884563,0.3868053,0.5859581,0.0001000328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759703,0.00004681314,0.007466567,0.005125465,0.00003406986,0.00004693908,0.000001590851,0.00003281306,0.1112754],"genre_scores_gemma":[0.9714476,0.000004089419,0.002138358,0.0005601788,0.00004291336,0.000002876724,1.847892e-7,0.000001487537,0.02580231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5634275,"threshold_uncertainty_score":0.9976206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121931511","doi":"10.1109/tsmcc.2003.809360","title":"A decision support system for interactive decision making-part II: analysis and output interpretation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":222,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Interpretation (philosophy); Decision support system; Management science; Operations research; Decision analysis; Engineering; Computer science; Mathematics; Artificial intelligence; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.04684681912570904,"gpt":0.3549809404086376,"spread":0.3081341212829286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002627385,0.0003318868,0.0008140372,0.000581621,0.0009454128,0.0004270419,0.00026573,0.000160092,0.00005243539],"category_scores_gemma":[0.0001077759,0.0002511957,0.0002638108,0.001111249,0.0001852578,0.0002147975,0.00001107308,0.0001891793,0.00008568941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005562398,"about_ca_system_score_gemma":0.00003262386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007833157,"about_ca_topic_score_gemma":0.00005907027,"domain_scores_codex":[0.9965848,0.0003296796,0.001419038,0.0009651091,0.0004342898,0.0002671324],"domain_scores_gemma":[0.9961863,0.001818631,0.0005641453,0.0008593121,0.0003326664,0.0002389061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002065693,0.000360847,0.0001986233,0.0002156749,0.0003506718,9.963231e-7,0.001375202,0.001519585,0.0001031733,0.03985824,0.002181045,0.9536294],"study_design_scores_gemma":[0.001041184,0.0004118107,0.0004490851,0.000849818,0.001592389,0.0001410492,0.002702647,0.02029563,0.000355104,0.008727289,0.9627363,0.0006976686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057722,0.002086562,0.9729696,0.00007436499,0.0003620472,0.002308115,0.0001761066,0.00005226041,0.001393719],"genre_scores_gemma":[0.9889361,0.002184918,0.004221595,0.00008947924,0.00005124258,0.002103655,0.00001090832,0.00002390243,0.00237818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968748,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W562951150","doi":"10.4324/9781315789408","title":"Choice, Decision, and Measurement: Essays in Honor of R. Duncan Luce","year":2019,"lang":"en","type":"book","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":210,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Honor; History; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1158404155474685,"gpt":0.3574805193833142,"spread":0.2416401038358457,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004518086,0.0002204716,0.0006065018,0.0004832113,0.00004891281,0.00008437474,0.0007824582,0.0002314633,0.001495559],"category_scores_gemma":[0.001967652,0.0001566238,0.0001059622,0.0003669635,0.0001746222,0.0001349146,0.0002329277,0.0002391117,0.0008279452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006687651,"about_ca_system_score_gemma":0.0003596618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002518345,"about_ca_topic_score_gemma":0.0005697078,"domain_scores_codex":[0.996408,0.0001011991,0.0009528619,0.0006448838,0.001707114,0.0001859662],"domain_scores_gemma":[0.9952541,0.002555025,0.0004292834,0.001116395,0.0005452592,0.00009990879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007790451,0.0001412787,0.003142355,0.00004552432,0.00004029668,0.000002801884,0.0002691766,0.00005683569,0.0003945784,0.5446559,0.3215034,0.12967],"study_design_scores_gemma":[0.0003475208,0.00002876743,0.004279765,0.0001129579,0.00001332281,0.000001919805,0.00004058993,0.00003319925,0.00008888829,0.5840694,0.4108147,0.0001690045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003420128,0.0004440759,0.002512156,0.0001818207,0.0001539789,0.0005035638,0.00004109248,0.00001727941,0.9927259],"genre_scores_gemma":[0.1003322,0.00006420382,0.0005996696,0.0001542603,0.00006514035,0.00002243792,0.000006058768,0.00002160223,0.8987344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.129501,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971896209","doi":"10.1007/pl00013690","title":"Spatial social networks","year":2000,"lang":"en","type":"article","venue":"Review of Economic Design","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":203,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Pairwise comparison; Subgame perfect equilibrium; Computer science; Network formation; Construct (python library); Nash equilibrium; Incentive; Variable (mathematics); Network topology; Mathematical economics; Social network (sociolinguistics); Topology (electrical circuits); Microeconomics; Economics; Mathematics; Artificial intelligence; Combinatorics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.1448590396153295,"gpt":0.3977631086563847,"spread":0.2529040690410552,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00297375,0.00007173704,0.0003308956,0.00002595919,0.00007152995,0.00002481933,0.0004793291,0.00003293979,0.02361742],"category_scores_gemma":[0.00009376589,0.00005663683,0.0001430442,0.0001053567,0.00007625155,0.00008535747,0.00001762853,0.00005001726,0.003801253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751341,"about_ca_system_score_gemma":0.0000463037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005951182,"about_ca_topic_score_gemma":0.000001478279,"domain_scores_codex":[0.9987066,0.0002634722,0.0006112013,0.0002047067,0.000101062,0.0001129906],"domain_scores_gemma":[0.9988592,0.0005391998,0.0002076532,0.0003253914,0.00002809908,0.00004045071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009692901,0.00001599378,0.00001922929,0.00002815108,0.000007265363,1.905036e-7,0.00002013311,0.0007557541,0.000005519759,0.01383724,0.04713739,0.9381635],"study_design_scores_gemma":[0.0002975848,0.00006272674,0.001377218,0.0004910415,0.00005555662,0.000009127086,0.00001836524,0.01035223,0.0001332435,0.1426211,0.8442993,0.0002825509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01911587,0.07386965,0.484168,0.008122256,0.0007230609,0.002967156,0.00006714968,0.0001290917,0.4108378],"genre_scores_gemma":[0.964802,0.02483075,0.001623266,0.001880815,0.0005274612,0.0000698334,0.00000597882,0.00001587647,0.006244042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9456861,"threshold_uncertainty_score":0.9969744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029184649","doi":"10.1007/s10726-005-9002-x","title":"The Graph Model for Conflict Resolution: Past, Present, and Future","year":2005,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":183,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Conflict resolution; Management science; Computer science; Graph; Operations research; Conflict analysis; Engineering; Sociology; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.0771669332564439,"gpt":0.3643286245170713,"spread":0.2871616912606273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969061,0.0001110699,0.0001324765,0.00009931383,0.0008928119,0.0003398022,0.000264498,0.00008610781,0.00002356633],"category_scores_gemma":[0.0001804422,0.00006653899,0.00006553263,0.0002860908,0.0001207064,0.0003415601,0.00007956482,0.00008297632,0.00002629249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076191,"about_ca_system_score_gemma":0.00001082662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001226856,"about_ca_topic_score_gemma":0.00002409348,"domain_scores_codex":[0.998477,0.00008465628,0.0004156541,0.0003778014,0.0004676071,0.0001773035],"domain_scores_gemma":[0.9971106,0.002027883,0.0001616532,0.0004124839,0.0001783268,0.0001090706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001702419,0.00002896778,0.0001476153,0.000001091005,0.000005666613,6.441307e-8,0.0005570141,0.0006938076,0.000167649,0.1554948,0.04769513,0.795038],"study_design_scores_gemma":[0.000432683,0.00002969785,0.006462227,0.000002814372,0.000008313461,0.000004840977,0.0002969267,0.2408955,0.0000236726,0.2034051,0.5483649,0.00007334645],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1180346,0.002418712,0.8429049,0.03430029,0.0002576964,0.000810338,0.00003944496,0.00005802563,0.001175974],"genre_scores_gemma":[0.984315,0.000926931,0.009976913,0.0006993706,0.001810204,0.000119934,0.000013617,0.00001283205,0.002125168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8662804,"threshold_uncertainty_score":0.6866878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1646856192","doi":"10.1023/a:1008713120075","title":"Coalition Analysis in Group Decision Support","year":2001,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":170,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Toronto Metropolitan University; Wilfrid Laurier University","funders":"","keywords":"Operations research; Computer science; Management science; Decision analysis; Decision support system; Mathematics; Mathematical economics; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05666481454648493,"gpt":0.3723624520930546,"spread":0.3156976375465697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004743153,0.0002112609,0.0004482776,0.001499385,0.0002733049,0.0003514302,0.0004715744,0.0001802847,0.0020201],"category_scores_gemma":[0.00145616,0.0001696949,0.0002028405,0.004649544,0.00008415927,0.0008215623,0.000144874,0.0001774746,0.0006524166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006748205,"about_ca_system_score_gemma":0.00001764405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005181279,"about_ca_topic_score_gemma":0.0009884561,"domain_scores_codex":[0.9960513,0.0002877543,0.001171455,0.0008511168,0.001323302,0.0003150743],"domain_scores_gemma":[0.9956434,0.002859195,0.0003215593,0.000782442,0.0001875997,0.0002058141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004508742,0.0003194629,0.1373192,0.000001597033,0.00003366678,0.00001835761,0.0005125219,0.0006745962,0.0009592109,0.03593647,0.002778387,0.8209956],"study_design_scores_gemma":[0.0009641779,0.0001027221,0.7022318,0.00001483747,0.00006977978,0.00002089446,0.0005211876,0.01274108,0.0000377806,0.2580137,0.0250606,0.0002215096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6126581,0.00006323343,0.3850189,0.0002790325,0.0001410433,0.0002035144,0.00001146543,0.00003920266,0.001585517],"genre_scores_gemma":[0.993713,0.0002236596,0.005003825,0.0004416474,0.00007143468,0.00003486506,0.00009482813,0.00001213598,0.0004046151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8207741,"threshold_uncertainty_score":0.9988922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032413283","doi":"10.1109/tfuzz.2012.2183603","title":"Fuzzy Preferences in the Graph Model for Conflict Resolution","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuzzy logic; Fuzzy number; Satisficing; Defuzzification; Fuzzy set; Fuzzy set operations; Type-2 fuzzy sets and systems; Computer science; Conflict resolution; Fuzzy classification; Graph; Mathematics; Mathematical optimization; Artificial intelligence; Theoretical computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.205073093487548,"gpt":0.375371251759921,"spread":0.170298158272373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004407828,0.0001663959,0.0002476526,0.0003164525,0.0004374933,0.0001793651,0.0007198266,0.0001236453,0.00001409112],"category_scores_gemma":[0.00005393059,0.000104208,0.0001721834,0.0008173233,0.0001157453,0.0004092163,0.000001261235,0.0002181192,0.000229735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003818668,"about_ca_system_score_gemma":0.00004217136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007857513,"about_ca_topic_score_gemma":0.0001227262,"domain_scores_codex":[0.9974737,0.0004616119,0.0006269034,0.0003377935,0.000711395,0.0003885795],"domain_scores_gemma":[0.9971693,0.001683874,0.0001692444,0.0007309226,0.0001439454,0.0001026806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003785765,0.001414063,0.000333327,0.0000573053,0.00007424812,5.607106e-7,0.02097229,0.6882831,0.002087265,0.2572243,0.009876302,0.01929862],"study_design_scores_gemma":[0.003631952,0.0006758358,0.003335174,0.0002641069,0.0002857006,0.0001004493,0.04014009,0.4517926,0.00301427,0.4311301,0.06392936,0.001700328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09601025,0.0002757703,0.8876719,0.000587526,0.001046139,0.001539436,0.0002047622,0.00007454486,0.01258971],"genre_scores_gemma":[0.9962847,0.00001891232,0.0002281888,0.0001222821,0.0001170852,0.001162183,0.000003118472,0.00001167652,0.002051854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9002745,"threshold_uncertainty_score":0.4249479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039661659","doi":"10.1007/pl00004094","title":"Conformism and diversity under social learning","year":2001,"lang":"en","type":"article","venue":"Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":147,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Diversity (politics); Public finance; Social learning; Microeconomics; Economics; Emerging technologies; Positive economics; Neoclassical economics; Sociology; Computer science; Knowledge management; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.09749753482890745,"gpt":0.3500213306348682,"spread":0.2525237958059607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001967395,0.0000574418,0.0001083949,0.00005171146,0.0006524964,0.00007583477,0.0002544377,0.00004012684,0.002771999],"category_scores_gemma":[0.00008366028,0.00005034605,0.00004182666,0.00004310311,0.0001857249,0.0001775271,0.0002725066,0.00009162579,0.001649164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002481683,"about_ca_system_score_gemma":0.0000156186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007329762,"about_ca_topic_score_gemma":0.000007393343,"domain_scores_codex":[0.9993465,0.0001257509,0.0001547141,0.0001917189,0.00006681331,0.0001145075],"domain_scores_gemma":[0.9990386,0.0006800054,0.00008638358,0.000131104,0.00001388754,0.00005004082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002856461,0.000005494298,0.004127404,2.138167e-7,0.000007590505,4.948459e-7,0.001245979,0.0001171908,0.00003537933,0.9617289,0.0005653264,0.0321375],"study_design_scores_gemma":[0.0001792616,0.000007893794,0.02541077,4.976542e-7,0.000004693757,0.000007457509,0.00372093,0.0001226013,0.00002734316,0.9258975,0.04454922,0.00007184777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063634,0.00002183601,0.002795952,0.0006002465,0.00007334982,0.00004269035,0.000003368577,0.00002936724,0.09006974],"genre_scores_gemma":[0.9840801,0.000008961785,0.00001871337,0.000258334,0.00008712793,0.000001815191,9.479343e-7,0.000003382815,0.0155406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07771666,"threshold_uncertainty_score":0.9991282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033098199","doi":"10.1023/b:grup.0000045751.21207.35","title":"Strength of Preference in the Graph Model for Conflict Resolution","year":2004,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":146,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Stability (learning theory); Conflict resolution; Mathematical economics; Graph; Decision maker; Mathematics; Simple (philosophy); Computer science; Microeconomics; Economics; Operations research; Epistemology; Combinatorics; Political science; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.1912153315142716,"gpt":0.3808573237261959,"spread":0.1896419922119243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002323565,0.00007624133,0.000136233,0.0001888951,0.0001274233,0.00006294657,0.0003335727,0.00006251811,0.00001023967],"category_scores_gemma":[0.0009441791,0.0000472916,0.00005557268,0.0005246133,0.00007179677,0.0002228238,0.00003175335,0.00006935413,0.000007755861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303084,"about_ca_system_score_gemma":0.00002242612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001372673,"about_ca_topic_score_gemma":0.0001579463,"domain_scores_codex":[0.9985902,0.00008315383,0.0004712603,0.0002635261,0.0004799025,0.0001119166],"domain_scores_gemma":[0.9978501,0.001457435,0.0001865379,0.0003506585,0.0001225656,0.00003268158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002863158,0.0002453161,0.0007847519,0.000005191787,0.000003851249,1.822948e-7,0.005296421,0.02459618,0.002785594,0.8433005,0.000530299,0.1221654],"study_design_scores_gemma":[0.0009069798,0.0000843173,0.04277466,0.00001950296,0.000006681661,0.000001768721,0.0006762426,0.07857341,0.0002709046,0.8759085,0.0007107981,0.00006621012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5664552,0.0000612028,0.4326429,0.000317421,0.0000266677,0.0002760092,0.00001614236,0.000006381414,0.0001979798],"genre_scores_gemma":[0.9939027,0.00005587084,0.005784481,0.0001423596,0.00001542233,0.0000502023,0.00001047993,0.00000335071,0.00003517323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4274474,"threshold_uncertainty_score":0.1928496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122400387","doi":"10.3982/te1204","title":"Dynamics of information exchange in endogenous social networks","year":2014,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":145,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Aggregate (composite); Private information retrieval; Information exchange; Computer science; Action (physics); Social learning; Network formation; Telecommunications network; Microeconomics; Welfare; Mathematical economics; Economics; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03717421351222842,"gpt":0.2874504293326846,"spread":0.2502762158204561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002616777,0.00007506814,0.00022388,0.0001180144,0.00005741615,0.00005211647,0.0004420099,0.00009351123,0.0004994309],"category_scores_gemma":[0.0004747277,0.00006584886,0.00006384063,0.0001912717,0.0004583323,0.0001993036,0.0000958833,0.0001071894,0.0001795497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004484285,"about_ca_system_score_gemma":0.00001754213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004331114,"about_ca_topic_score_gemma":0.0000223383,"domain_scores_codex":[0.9988813,0.0001420371,0.0005824425,0.0001261074,0.00009573892,0.0001724082],"domain_scores_gemma":[0.9985002,0.0009330134,0.0001879244,0.0002721089,0.00005616722,0.00005053664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002763215,0.00001872844,0.0001470551,0.000001617219,0.000001726047,3.316228e-8,0.0003968748,0.001757583,0.000003180344,0.9414817,0.00001913419,0.05614471],"study_design_scores_gemma":[0.0001764521,0.00002227784,0.0007146135,0.000001332393,0.000002763752,0.000001534491,0.0002286412,0.2026214,0.00003659741,0.7954524,0.0006819086,0.00006005063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7474041,0.000005243267,0.1279338,0.001476498,0.0001063858,0.0001664142,0.00003250183,0.00001891912,0.1228561],"genre_scores_gemma":[0.9993512,0.000009387373,0.0002788457,0.0002453957,0.00006452617,0.00001056542,0.00001575781,0.000004708691,0.00001958776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519471,"threshold_uncertainty_score":0.5468418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124730826","doi":"10.1287/mnsc.2015.2160","title":"Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence","year":2015,"lang":"en","type":"article","venue":"Management Science","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Newsvendor model; Microeconomics; Monopolistic competition; Postponement; Business; Economics; Production (economics); Incentive; Product (mathematics); Industrial organization; Profit (economics); Leverage (statistics); Marketing; Monopoly; Supply chain","retraction":null,"screen_n_in":null,"score":{"opus":0.08990532899199445,"gpt":0.3923465870353782,"spread":0.3024412580433837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008972727,0.00007338087,0.0001008907,0.0001370812,0.001449329,0.001171775,0.0004468668,0.00001273666,0.000003795738],"category_scores_gemma":[0.0008478778,0.00004589583,0.00001698864,0.0008005697,0.001401063,0.0006159922,0.0007016334,0.00005580747,0.000008246044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001503761,"about_ca_system_score_gemma":0.00001959553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004594903,"about_ca_topic_score_gemma":0.00002747412,"domain_scores_codex":[0.9985156,0.0001473353,0.0001952185,0.0003395942,0.0006133216,0.0001889429],"domain_scores_gemma":[0.9991248,0.000463757,0.0000506991,0.0002176136,0.0000586419,0.00008449052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002045776,0.00001093034,0.007435083,0.000003921415,0.000009695334,0.000001392887,0.00667941,0.0008187743,0.0004366009,0.9541413,0.0002878569,0.03015462],"study_design_scores_gemma":[0.00175147,0.00002384808,0.5108244,0.00003544807,0.00006120735,0.0000160057,0.055957,0.01654475,0.00007369045,0.4044652,0.009915359,0.0003316083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974643,0.000106147,0.002926283,0.007918399,0.00004913187,0.0002128548,7.419372e-7,0.00001922752,0.01412425],"genre_scores_gemma":[0.9972652,0.00001603972,0.001002037,0.0008400814,0.00002106051,0.00002008242,9.435232e-8,0.000002451151,0.0008329233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5496761,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125467036","doi":"10.1007/s00199-009-0449-x","title":"Enumeration of Nash equilibria for two-player games","year":2009,"lang":"en","type":"article","venue":"Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":119,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Group for Research in Decision Analysis","funders":"Engineering and Physical Sciences Research Council","keywords":"Enumeration; Lexicographical order; Polytope; Polyhedron; Nash equilibrium; Vertex (graph theory); Computer science; Combinatorics; Best response; Implementation; Theoretical computer science; Mathematics; Discrete mathematics; Algorithm; Mathematical optimization; Graph; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.06540925519319622,"gpt":0.3943663148526824,"spread":0.3289570596594862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002791984,0.00007870948,0.0001904281,0.00008909193,0.00006991144,0.0000586171,0.0004110745,0.00003695885,0.00120549],"category_scores_gemma":[0.0003257953,0.00006626736,0.0001117317,0.00006121262,0.00007477083,0.0002310925,0.00002268273,0.00003803363,0.000599566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045645,"about_ca_system_score_gemma":0.00004419076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001151711,"about_ca_topic_score_gemma":0.000003078692,"domain_scores_codex":[0.9989774,0.0001146,0.0004467957,0.000256611,0.00007651625,0.0001281348],"domain_scores_gemma":[0.9978171,0.001414333,0.0002198138,0.0004596174,0.0000445748,0.00004456044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000789297,0.00002093516,0.00004325452,6.205261e-7,0.000006153448,4.008854e-8,0.0002598371,0.0004265921,0.01546029,0.9294947,0.002394026,0.05181461],"study_design_scores_gemma":[0.0003176161,0.00005258454,0.0008552715,0.000002554706,0.0000067071,0.00000155232,0.0002083623,0.001209633,0.01977954,0.965423,0.01206645,0.00007665101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441212,0.0000683519,0.02488548,0.0006777259,0.0002149564,0.0002678183,0.00005345056,0.00002831654,0.02968267],"genre_scores_gemma":[0.994565,0.000001474233,0.0007850586,0.0002549299,0.0001515707,0.00001895669,0.000005646907,0.000005552997,0.004211785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05173796,"threshold_uncertainty_score":0.9997075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1604446916","doi":"","title":"Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change","year":2006,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Deception; Computer science; Reputation; Heuristics; Interpretation (philosophy); Probabilistic logic; Artificial intelligence; Subjectivity; Bayesian probability; Machine learning; Psychology; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.3735827409160826,"gpt":0.4420146932122569,"spread":0.06843195229617433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002684964,0.0001296519,0.0001586185,0.000509516,0.0001751431,0.0003219369,0.0002161924,0.00008097004,0.0001651906],"category_scores_gemma":[0.001506273,0.0001214897,0.00003183897,0.0008746834,0.000084635,0.0004300856,0.00005365265,0.0001483009,0.0003644906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007865379,"about_ca_system_score_gemma":0.00007466379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002718026,"about_ca_topic_score_gemma":0.00255751,"domain_scores_codex":[0.9975265,0.0002301989,0.0005822986,0.0005346597,0.0009400001,0.0001863321],"domain_scores_gemma":[0.9981279,0.0006997781,0.0001209684,0.0001568319,0.0008198122,0.00007469556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001562565,0.0001076714,0.0001907952,0.00000170067,0.000001771387,0.000002078573,0.001335393,0.03855959,0.003766466,0.7838349,0.00005049768,0.1719929],"study_design_scores_gemma":[0.00001436882,0.00003108987,0.002758577,0.00001782592,0.000001202068,0.000001795387,0.001000109,0.4281565,0.003810327,0.5640832,0.00002657872,0.00009841295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5557781,0.000005484882,0.4293205,0.005246829,0.00008443541,0.0004049985,0.00002132348,0.00003426988,0.009104028],"genre_scores_gemma":[0.9979765,0.000005058059,0.001241992,0.0004157918,0.0001221343,0.0000778108,0.00001408736,0.000006256171,0.0001403476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4421984,"threshold_uncertainty_score":0.4954207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029191936","doi":"10.1006/jeth.2000.2735","title":"Nash Equilibrium and the Evolution of Preferences","year":2001,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematical economics; Nash equilibrium; Economics; Action (physics); Population; Best response; Evolutionarily stable strategy; Aggregate (composite); Equilibrium selection; Repeated game; Microeconomics; Mathematics; Game theory; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.05873728306807544,"gpt":0.3374401153105667,"spread":0.2787028322424912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00776114,0.00005303264,0.0002239652,0.0001075979,0.00004372801,0.00005018048,0.0005136952,0.00002865185,0.0004824677],"category_scores_gemma":[0.0005839954,0.00002777244,0.000101738,0.00008107719,0.0004339557,0.0002679407,0.0000605995,0.00009292905,0.00004802879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149588,"about_ca_system_score_gemma":0.00008383444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000047784,"about_ca_topic_score_gemma":0.000005240351,"domain_scores_codex":[0.9987088,0.0003608668,0.0006365845,0.00008898135,0.0001286494,0.00007606614],"domain_scores_gemma":[0.996319,0.00256295,0.000758191,0.000227247,0.00008860121,0.00004404008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000404037,0.00001815284,0.003022112,9.562851e-7,0.00002602517,3.95374e-7,0.0005419204,0.0003464662,0.0006447399,0.9811738,0.0004620738,0.01335939],"study_design_scores_gemma":[0.0005092525,0.00003830709,0.006000645,0.000007512087,0.00001649418,0.00007838115,0.002646348,0.0001943896,0.0002265811,0.9881607,0.002089504,0.00003194503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784829,0.0007338552,0.002323739,0.0007979487,0.0001786503,0.00005639875,0.00000309663,0.000002166078,0.01742127],"genre_scores_gemma":[0.9985216,0.00005699235,0.00008392356,0.00003633806,0.0001222899,0.000001117229,5.286281e-8,0.000002532351,0.001175153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02003872,"threshold_uncertainty_score":0.5282683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985833622","doi":"10.1016/s0165-1889(01)00072-0","title":"Channel coordination over time: incentive equilibria and credibility","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Goodwill; Channel coordination; Incentive; Credibility; Microeconomics; Channel (broadcasting); Economics; Profit maximization; Profit (economics); Pareto efficiency; Maximization; Supply chain; Pareto principle; Advertising; Business; Computer science; Marketing; Supply chain management; Finance; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01904945543507786,"gpt":0.3050380463858122,"spread":0.2859885909507343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002534027,0.00007159063,0.0002484368,0.00009011062,0.00007615477,0.0001407569,0.0001336675,0.00004162901,0.0001341314],"category_scores_gemma":[0.0003661692,0.00005544275,0.00006060961,0.00004864988,0.00009550722,0.0003206313,0.00002130976,0.00008923885,0.00001629202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000057032,"about_ca_system_score_gemma":0.00005113981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002627982,"about_ca_topic_score_gemma":0.00001015952,"domain_scores_codex":[0.9990435,0.0001220317,0.0004871899,0.0001513529,0.0001005781,0.00009533307],"domain_scores_gemma":[0.9986027,0.0005967289,0.0004632299,0.0001328951,0.0001098658,0.00009452913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006549662,0.000273227,0.0540548,0.0000094617,0.0002854044,0.000007322407,0.0006440601,0.002299507,0.004303429,0.8910294,0.002741788,0.04369669],"study_design_scores_gemma":[0.001634813,0.0001004026,0.02404673,0.000005871236,0.00003082335,0.00003638617,0.0002074818,0.5096794,0.00002076464,0.463052,0.001094298,0.00009106398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837471,0.0001334106,0.01316715,0.0008486324,0.0001552391,0.00009508867,0.00003208131,0.000002297292,0.001818996],"genre_scores_gemma":[0.9989391,0.00001696833,0.0000599587,0.00009308431,0.0000602296,0.000001497029,5.160398e-7,0.000003606763,0.0008250266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5073799,"threshold_uncertainty_score":0.226089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1577419414","doi":"10.1007/978-3-540-27821-4_17","title":"Convergence Issues in Competitive Games","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Submodular set function; Nash equilibrium; Computer science; Convergence (economics); Mathematical economics; Outcome (game theory); Shapley value; Best response; Function (biology); Mathematical optimization; Graph; Game theory; Mathematics; Theoretical computer science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04630530986479416,"gpt":0.3445192531479084,"spread":0.2982139432831142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002601422,0.0003926201,0.000617651,0.001035827,0.0001752936,0.0003721743,0.003050224,0.0002455037,0.0008340453],"category_scores_gemma":[0.0006690867,0.0003186024,0.0001220942,0.001148395,0.001959109,0.0003589755,0.0006598294,0.00071237,0.0007929526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341783,"about_ca_system_score_gemma":0.0004997676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005458502,"about_ca_topic_score_gemma":0.0003206033,"domain_scores_codex":[0.9954819,0.00007308092,0.0008132918,0.001534996,0.001602076,0.0004946567],"domain_scores_gemma":[0.9961172,0.001819376,0.0003275984,0.001244543,0.0003496151,0.0001416117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001433958,0.00005097024,0.0006851796,0.000009235259,0.000004453697,0.00006704598,0.002023868,0.03346306,0.0001655057,0.7448648,0.00003342353,0.2186181],"study_design_scores_gemma":[0.0001875771,0.00006278161,0.000946849,0.000269111,0.000003011053,0.00001663822,0.000004958029,0.005588916,0.001362931,0.9834641,0.007699645,0.000393482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002438196,0.0007612649,0.951417,0.002850506,0.001241328,0.0006233746,0.00002921527,0.00008051314,0.0405586],"genre_scores_gemma":[0.9692938,0.00008110546,0.02701974,0.001137166,0.0002692742,0.00001516209,0.000004011443,0.00002199981,0.002157772],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9668556,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4242901191","doi":"10.1002/sys.20104","title":"Coalition analysis in the graph model for conflict resolution","year":2008,"lang":"en","type":"article","venue":"Systems Engineering","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Conflict resolution; Stability (learning theory); Graph; Operations research; Computer science; Conflict analysis; Management science; Mathematical economics; Political science; Mathematics; Economics; Theoretical computer science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1791678918625768,"gpt":0.3544746350789112,"spread":0.1753067432163344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002159381,0.0000635398,0.0001549391,0.0003233439,0.0001060198,0.00004729384,0.0002815315,0.00003793028,0.000002450588],"category_scores_gemma":[0.0002372347,0.00004321036,0.0001072327,0.001240768,0.0000185642,0.00009750453,0.000009813984,0.00005544656,0.00001155305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001823421,"about_ca_system_score_gemma":0.000009967455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000318443,"about_ca_topic_score_gemma":0.00001131592,"domain_scores_codex":[0.9989942,0.00006153419,0.0003323615,0.0001719471,0.000308879,0.0001310584],"domain_scores_gemma":[0.9989502,0.0005353549,0.00006469681,0.0003523917,0.0000724682,0.00002482967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002578188,0.000007033515,0.0002017476,0.000003384268,0.0000125653,3.57696e-7,0.0008939653,0.9403998,0.0003469439,0.0578004,0.0003124384,0.00001875082],"study_design_scores_gemma":[0.00008781406,0.000004882238,0.002395732,0.000004674773,0.00001917732,0.000005787776,0.0003273714,0.9933271,0.00001998787,0.001323875,0.002429294,0.00005433231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1786155,0.0001049055,0.8205237,0.00008491427,0.00005239335,0.0002669089,0.00001983331,0.00002864575,0.0003031812],"genre_scores_gemma":[0.9988461,0.000004337707,0.0005062579,0.00001559708,0.00004424009,0.0002112753,0.000008973037,0.000004245667,0.0003589656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8202305,"threshold_uncertainty_score":0.1762067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026213374","doi":"10.1016/j.amc.2005.11.109","title":"Strength of preference in graph models for multiple-decision-maker conflicts","year":2006,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":101,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Graph; Decision maker; Revealed preference; Representation (politics); Mathematical economics; Mathematics; Context (archaeology); Computer science; Econometrics; Theoretical computer science; Operations research; Statistics; Political science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1100702428146167,"gpt":0.342261143958738,"spread":0.2321909011441213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000762267,0.00009338222,0.000227142,0.000155495,0.00005879901,0.00005375242,0.000162645,0.00004960255,0.000005999585],"category_scores_gemma":[0.0001186806,0.00007417638,0.00003667836,0.00030894,0.00006314043,0.00007574511,0.00003858514,0.00004188799,0.000005625984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005326793,"about_ca_system_score_gemma":0.00001268819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008556021,"about_ca_topic_score_gemma":0.00002841631,"domain_scores_codex":[0.9987397,0.00001004447,0.0005985113,0.000234889,0.0003087819,0.0001080394],"domain_scores_gemma":[0.9963103,0.003079053,0.0002580718,0.0001928428,0.0001312091,0.00002854309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000248562,0.0001951837,0.0000409591,0.00002252414,0.000003115372,8.033047e-8,0.0007620733,0.04961361,0.001453688,0.8984468,0.0001006535,0.04933647],"study_design_scores_gemma":[0.0003732624,0.00001269946,0.0006208381,0.00001407944,0.000004364719,4.726544e-7,0.0002880163,0.3107829,0.0005071705,0.6872811,0.00006043494,0.000054642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4640175,0.0000127591,0.5336329,0.00001907963,0.000009659591,0.000315168,0.00001276115,0.000009430737,0.001970766],"genre_scores_gemma":[0.8733752,0.000003054861,0.1264811,0.00001277923,0.000009041518,0.00007667336,0.000009733463,0.000006280664,0.00002609963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4093578,"threshold_uncertainty_score":0.3024825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039937992","doi":"10.1007/s11518-007-5042-x","title":"Conflict analysis approaches for investigating attitudes and misperceptions in the War of 1812","year":2007,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Conflict resolution; Spanish Civil War; Order (exchange); Political science; Social psychology; Psychology; Sociology; Epistemology; Law; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.2071059905536711,"gpt":0.376403802610839,"spread":0.1692978120571679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02631762,0.00008332324,0.0003635083,0.0008220617,0.0001617964,0.0002126559,0.0004833664,0.00003735366,4.663631e-7],"category_scores_gemma":[0.0014055,0.00004873402,0.00006540669,0.001996948,0.0002542035,0.0003681961,0.0000286867,0.0001036946,3.158383e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002801008,"about_ca_system_score_gemma":0.00005284003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003766867,"about_ca_topic_score_gemma":0.000009813019,"domain_scores_codex":[0.9977561,0.00006376688,0.0009823128,0.0001680257,0.0008485192,0.0001812508],"domain_scores_gemma":[0.9974052,0.001396725,0.0004739651,0.0002091699,0.0004114865,0.0001034889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002104683,0.0001151942,0.2602535,0.00066547,0.0002230217,0.000007296042,0.03799916,0.4186874,0.1613259,0.117871,0.0001281928,0.002702772],"study_design_scores_gemma":[0.000598683,0.0001802137,0.3651415,0.0004596294,0.0001866371,0.000450911,0.08178148,0.5483159,0.0005504943,0.000415216,0.001635551,0.0002838644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359843,0.00122814,0.06224596,0.00006276705,0.0001240103,0.0002303125,0.000003448635,0.000003260089,0.0001177727],"genre_scores_gemma":[0.999208,0.00001177685,0.0006611341,0.000005963441,0.00008195085,0.000008639036,1.242741e-7,0.000002973787,0.00001938658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607754,"threshold_uncertainty_score":0.9121215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965925421","doi":"10.1287/mnsc.1060.0605","title":"Stable Farsighted Coalitions in Competitive Markets","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Status quo; Microeconomics; Economics; Profit (economics); Competition (biology); Alliance; Market share; Outcome (game theory); Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.06508715931266254,"gpt":0.3832771114069123,"spread":0.3181899520942497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01109359,0.00008029943,0.0001063519,0.0007351588,0.000372685,0.0002294747,0.001251205,0.00001660783,0.0007939936],"category_scores_gemma":[0.0002865393,0.00006620856,0.00002882376,0.00453577,0.0006179591,0.000480706,0.000325124,0.00007624338,0.0008492781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956361,"about_ca_system_score_gemma":0.00002205191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115761,"about_ca_topic_score_gemma":0.00007416846,"domain_scores_codex":[0.9974905,0.00006495551,0.0003743103,0.000516045,0.001139814,0.0004144014],"domain_scores_gemma":[0.9986035,0.0004956592,0.00008951801,0.0005834072,0.0001172928,0.0001106832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001143046,0.00008794921,0.003649968,0.00000138804,0.000001505303,0.00001255049,0.000230014,0.00005743538,0.0006168067,0.9827465,0.000742647,0.01184176],"study_design_scores_gemma":[0.0003011035,0.00001513772,0.6212081,0.00001747652,0.000004128507,0.000002192406,0.006710844,0.0007570428,0.001624042,0.2494541,0.1197396,0.0001662252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2435717,0.00001006652,0.04719241,0.00078803,0.0001382006,0.0003242244,0.000006610318,0.00004070133,0.7079281],"genre_scores_gemma":[0.9870633,0.000003988304,0.002745711,0.0003657736,0.00001080915,0.00001772028,0.000001355026,0.000002786927,0.009788546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7434916,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015322361","doi":"10.1109/tsmc.2014.2376473","title":"Inverse Approach to the Graph Model for Conflict Resolution","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"King Abdulaziz University","keywords":"Negotiation; Conflict resolution; Management science; Inverse; Operations research; Computer science; Political science; Mathematics; Economics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1117810837479868,"gpt":0.3152887073969451,"spread":0.2035076236489583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003311246,0.0002257354,0.0003669934,0.0002572447,0.0006362874,0.0004733056,0.0005827215,0.0001406836,0.00000264091],"category_scores_gemma":[0.00004740317,0.0001498892,0.0001458345,0.0004941336,0.0001342759,0.00009647662,0.000004133543,0.0001689666,0.0001605506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003540366,"about_ca_system_score_gemma":0.00002597443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001382102,"about_ca_topic_score_gemma":0.00007399134,"domain_scores_codex":[0.9972452,0.0004414931,0.0007190329,0.0006011017,0.0006803628,0.0003128345],"domain_scores_gemma":[0.9975614,0.000748087,0.0002114842,0.0009827449,0.0002674236,0.0002288427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000530929,0.00009784546,0.000004083515,0.00004304223,0.00003139865,6.569552e-8,0.00200011,0.8935865,0.0002808128,0.09373205,0.008144649,0.002026353],"study_design_scores_gemma":[0.0003736686,0.000102018,0.00001537725,0.00003828902,0.00004274571,0.00001977793,0.002820753,0.9294917,0.00006698655,0.001638726,0.0651932,0.0001967434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01230201,0.00009657771,0.9778903,0.0002953826,0.0008156387,0.001805541,0.0001237981,0.00007646248,0.006594246],"genre_scores_gemma":[0.9793516,0.00001355965,0.0004265225,0.0001852445,0.0001555432,0.001012783,0.000003069093,0.00002542131,0.01882621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9774638,"threshold_uncertainty_score":0.6112304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2566978476","doi":"10.1007/s10726-016-9520-8","title":"Symmetric Sequential Stability in the Graph Model for Conflict Resolution with Multiple Decision Makers","year":2016,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada; Australian Government","keywords":"Stability (learning theory); Probabilistic logic; Conflict resolution; Mathematics; Mathematical economics; Mathematical optimization; Graph; Computer science; Combinatorics; Machine learning; Statistics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1300763523185096,"gpt":0.3565355121842059,"spread":0.2264591598656962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005894199,0.0001724214,0.000235678,0.0004754686,0.0003518405,0.0001965408,0.000480704,0.0001196885,0.00004331928],"category_scores_gemma":[0.003829432,0.00008119587,0.0001016581,0.001333245,0.000166048,0.000539611,0.00006948398,0.00009957852,0.00003267957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006183555,"about_ca_system_score_gemma":0.00003633938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001740007,"about_ca_topic_score_gemma":0.0004694448,"domain_scores_codex":[0.997035,0.0002821347,0.0006985494,0.0006697086,0.00104305,0.0002715519],"domain_scores_gemma":[0.9884467,0.01020974,0.0002561665,0.0007141893,0.0002788462,0.0000943815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004095306,0.0003924042,0.02400564,0.000006925114,0.00001462597,0.000001765343,0.002123807,0.002324571,0.006681004,0.09668227,0.00233175,0.8613399],"study_design_scores_gemma":[0.005476342,0.0003391165,0.1645139,0.00007106408,0.0000315547,0.00001551631,0.00105126,0.2693327,0.0005120281,0.5534147,0.004905588,0.0003362456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4711597,0.00004567812,0.5275851,0.0004764359,0.00005565944,0.0005474872,0.00003478506,0.00001668433,0.00007846062],"genre_scores_gemma":[0.9900184,0.0000566311,0.009436946,0.0002277345,0.00003956968,0.0001445227,0.00001105232,0.00001098606,0.0000541517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8610037,"threshold_uncertainty_score":0.4584465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1645009427","doi":"10.1111/j.1558-5646.2011.01274.x","title":"THE OPTIMAL SAMPLING STRATEGY FOR UNFAMILIAR PREY","year":2011,"lang":"en","type":"article","venue":"Evolution","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Predation; Biology; Mimicry; Bayesian inference; Müllerian mimicry; Inference; Predator; Aposematism; Coevolution; Ecology; Bayesian probability; Artificial intelligence; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.3315319543390005,"gpt":0.4200102248316339,"spread":0.0884782704926334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776555,0.00005476953,0.00006119152,0.00003234849,0.0004969359,0.00006698933,0.0004102889,0.00003682129,0.00008007453],"category_scores_gemma":[0.0006015809,0.00003323309,0.00006045965,0.000204682,0.00009817985,0.0001493157,0.00003327477,0.0000530942,0.0002897602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002213066,"about_ca_system_score_gemma":0.00003885427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001269313,"about_ca_topic_score_gemma":0.00002554368,"domain_scores_codex":[0.9991308,0.00006386622,0.0002330749,0.0001949352,0.0002164459,0.0001608868],"domain_scores_gemma":[0.9986678,0.000672711,0.00009278108,0.0003666537,0.0001602343,0.00003975701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007130329,0.00003417066,0.0005566769,8.147828e-7,0.000006221473,5.130639e-8,0.0004175111,0.001061383,0.0009757579,0.9708501,0.002648852,0.02337723],"study_design_scores_gemma":[0.000134381,0.00007115749,0.04392549,0.000002607336,0.000008299686,0.000001821031,0.001546517,0.00718853,0.000753869,0.9220791,0.02421016,0.00007804683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3031123,0.0001362134,0.6836981,0.0001758103,0.0002020556,0.0003310553,0.00001494158,0.00004698195,0.01228256],"genre_scores_gemma":[0.9931145,0.000003336083,0.004322993,0.00001683797,0.00008046394,0.00007657436,0.000001847575,0.000004363639,0.002379038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6900023,"threshold_uncertainty_score":0.382208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999757901","doi":"10.1016/s1570-8667(03)00022-4","title":"On time versus size for monotone dynamic monopolies in regular topologies","year":2003,"lang":"en","type":"article","venue":"Journal of Discrete Algorithms","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Vertex (graph theory); Monotone polygon; Mathematics; Combinatorics; Hypercube; Simple (philosophy); Network topology; Computation; Dynamo; Discrete mathematics; Graph; Computer science; Topology (electrical circuits); Algorithm; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.05583863552092819,"gpt":0.4016639778191219,"spread":0.3458253422981937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002356677,0.0001341894,0.0003627165,0.0002214051,0.0001049929,0.00009522741,0.0005577781,0.00007646239,0.0001834124],"category_scores_gemma":[0.005291634,0.00009179546,0.0002063405,0.0003915891,0.000150916,0.0002535757,0.00002972036,0.0001833032,0.00007157002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007062265,"about_ca_system_score_gemma":0.00006971592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002544624,"about_ca_topic_score_gemma":0.000004224554,"domain_scores_codex":[0.9981188,0.0001920343,0.0007201698,0.0002087415,0.0005222899,0.0002379721],"domain_scores_gemma":[0.9948965,0.004003438,0.0004537924,0.0003581213,0.0001980129,0.00009009261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007400536,0.001446481,0.0005557287,0.00002632123,0.0005334998,0.0001435332,0.004150954,0.01972634,0.02370935,0.728757,0.02618321,0.1873671],"study_design_scores_gemma":[0.00253537,0.0009931977,0.001133388,0.0000294052,0.00003052699,0.00002762156,0.002778434,0.003949594,0.004888709,0.9744677,0.008959576,0.000206502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599904,0.0005591296,0.02813999,0.003538997,0.0007764674,0.00044336,0.00005941489,0.00002189739,0.006470374],"genre_scores_gemma":[0.9815509,0.00004860133,0.01529621,0.00008138698,0.00005975075,0.00001671596,0.000001008771,0.00001295484,0.002932518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2457107,"threshold_uncertainty_score":0.6334962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060304835","doi":"10.1007/s11518-008-5070-1","title":"Interrelationships among noncooperative and coalition stability concepts","year":2008,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Stability (learning theory); Mathematical economics; Nash equilibrium; Graph; Dilemma; Mathematics; Computer science; Theoretical computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1421908940268201,"gpt":0.3543918697731231,"spread":0.212200975746303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009451439,0.0001069872,0.0003359628,0.0003359853,0.0003950711,0.0003650435,0.000324068,0.00004902327,0.000003982959],"category_scores_gemma":[0.002174158,0.00007376057,0.00003370228,0.0007729404,0.0005633108,0.001342918,0.00005513559,0.0001856396,0.000005151163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008385302,"about_ca_system_score_gemma":0.0001410538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002653468,"about_ca_topic_score_gemma":0.000001730759,"domain_scores_codex":[0.9974598,0.0001615643,0.0009068624,0.0002320214,0.001066613,0.0001731407],"domain_scores_gemma":[0.997146,0.0007678712,0.0004377395,0.0002152073,0.001209176,0.000224009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000707814,0.0001865448,0.5076888,0.0003186105,0.0001147281,0.0001109148,0.05850763,0.1178799,0.1522364,0.1593997,0.001951464,0.001534493],"study_design_scores_gemma":[0.001469591,0.0005500623,0.3774173,0.001190126,0.00004720913,0.006913566,0.06784694,0.5338956,0.00251645,0.0006381279,0.006734327,0.0007807591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700922,0.0006859716,0.0279445,0.00005661294,0.000618176,0.0002013566,0.000004571506,0.00001185658,0.0003847966],"genre_scores_gemma":[0.999613,0.00002128313,0.0001126384,0.000004357099,0.0001306152,0.000008620035,1.308506e-7,0.000004289851,0.0001050034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160157,"threshold_uncertainty_score":0.3520123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007945516","doi":"10.1061/(asce)0733-9364(2006)132:10(1043)","title":"Conflict Resolution in Construction Disputes Using the Graph Model","year":2006,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Compromise; Conflict resolution; Conflict analysis; Order (exchange); Operations research; Resolution (logic); Dispute resolution; Management science; Computer science; Economics; Engineering; Political science; Artificial intelligence; Law; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.03678763473961073,"gpt":0.2930288349763592,"spread":0.2562412002367485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061148,0.00007313878,0.0001276033,0.0003742899,0.00009035125,0.00008810031,0.0001322969,0.00002360855,0.000005586813],"category_scores_gemma":[0.00004098122,0.00005024429,0.00005249144,0.0003969675,0.0001077818,0.0002085491,0.00002956041,0.0001137498,7.625128e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002898448,"about_ca_system_score_gemma":0.00001021634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006770911,"about_ca_topic_score_gemma":0.000002343388,"domain_scores_codex":[0.9989606,0.00003742469,0.0004927911,0.0001045439,0.0003052853,0.00009937574],"domain_scores_gemma":[0.9994048,0.00009791967,0.0002458529,0.0001320857,0.00009077606,0.0000285869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001111271,0.000009997858,0.0005060813,0.000005383904,0.00001153576,0.000002530423,0.00004027808,0.728786,0.0007560376,0.2621531,0.00009791958,0.007619994],"study_design_scores_gemma":[0.0007567001,0.00002563373,0.0100357,0.00008252954,0.00006579578,0.0007833843,0.001596945,0.8481249,0.0003513643,0.1287018,0.009314333,0.0001608996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4598202,0.000145777,0.5389931,0.000303277,0.0002190903,0.00007753189,0.00000116844,0.000008680076,0.0004311028],"genre_scores_gemma":[0.964942,0.000106568,0.03479356,0.0000146284,0.0000745947,0.00000277898,2.773281e-7,0.000004011354,0.00006156271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5051218,"threshold_uncertainty_score":0.2048903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2995283531","doi":"10.1007/s10726-019-09648-z","title":"The Graph Model for Conflict Resolution: Reflections on Three Decades of Development","year":2019,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; Centre for International Governance Innovation; Balsillie School of International Affairs; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conflict resolution; Management science; Preference; Realm; Conflict analysis; Tracing; Computer science; Operations research; Artificial intelligence; Sociology; Economics; Mathematics; Political science; Social science; Microeconomics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1853376714810956,"gpt":0.4163300172606823,"spread":0.2309923457795867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002339092,0.0001020495,0.0001582465,0.0001830097,0.0006020562,0.0001126544,0.0003228662,0.00007645233,0.00003195382],"category_scores_gemma":[0.0006555968,0.00006257556,0.00008126779,0.0004638946,0.00007956132,0.0001545096,0.00005603421,0.00007942814,0.00008775943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000228186,"about_ca_system_score_gemma":0.00004286221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001858591,"about_ca_topic_score_gemma":0.0001132987,"domain_scores_codex":[0.9982838,0.00005903798,0.0005706485,0.0003413092,0.0005952856,0.0001499444],"domain_scores_gemma":[0.9957381,0.003216071,0.000251919,0.0004746699,0.0002586915,0.00006052179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000567956,0.00009764599,0.00111793,0.000003984937,0.00001926707,4.350948e-8,0.001158527,0.006193648,0.003050548,0.7220692,0.002800359,0.2629209],"study_design_scores_gemma":[0.0009303455,0.0001954603,0.03817839,0.0000336119,0.0000132044,0.000002640052,0.0005592284,0.1307961,0.001400473,0.7380291,0.08969218,0.0001693242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4031549,0.0001166235,0.5941315,0.0004930134,0.000171056,0.0005071473,0.000009593489,0.00002015937,0.001396082],"genre_scores_gemma":[0.9878963,0.00004978219,0.0108078,0.000154571,0.00002751437,0.00007771861,0.000007056878,0.000007427907,0.0009718082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5847415,"threshold_uncertainty_score":0.4630591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2179013871","doi":"10.1287/orsc.2015.1015","title":"Tipping Points: The Gender Segregating and Desegregating Effects of Network Recruitment","year":2015,"lang":"en","type":"article","venue":"Organization Science","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Scholarship; Tipping point (physics); Sorting; Population; Network theory; Social psychology; Sociology; Psychology; Economics; Computer science; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.2386694052362907,"gpt":0.4022199350703843,"spread":0.1635505298340936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006571086,0.00007606719,0.0001163106,0.00008299452,0.0005850095,0.0002554856,0.0006785778,0.00002390912,0.00002930386],"category_scores_gemma":[0.01577909,0.00004639017,0.00001226934,0.004394468,0.0005356108,0.0004508583,0.0003008858,0.00006749504,0.00004881662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000034405,"about_ca_system_score_gemma":0.0001649367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003671208,"about_ca_topic_score_gemma":0.000001451314,"domain_scores_codex":[0.9980125,0.0001830185,0.0003382389,0.0003193341,0.000954637,0.0001923032],"domain_scores_gemma":[0.9969192,0.001300673,0.0002963933,0.0004300441,0.0009359452,0.0001177468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001113537,0.00009734877,0.2947224,0.00003265803,0.00002012564,0.000002484198,0.03913495,0.008495845,0.07409052,0.460573,0.003200355,0.1196192],"study_design_scores_gemma":[0.001076212,0.000147526,0.2218121,0.0001840335,0.00005242661,0.00008106413,0.01723402,0.02157625,0.1766381,0.5564687,0.004148787,0.0005808009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046738,0.00013278,0.09101925,0.001102876,0.0002362496,0.0004602012,7.330669e-7,0.00003969311,0.002334382],"genre_scores_gemma":[0.9924892,0.000002856433,0.007020007,0.000283402,0.00006212816,0.000008681163,4.784119e-7,0.000006379646,0.0001268749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190384,"threshold_uncertainty_score":0.9925114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2476806688","doi":"10.1257/mic.20140135","title":"Strategic Information Acquisition and Transmission","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Decision maker; Delegation; Cheap talk; Information transmission; Computer science; Knowledge management; Advice (programming); Business; Microeconomics; Management science; Economics; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.03176716077457203,"gpt":0.3110012703747043,"spread":0.2792341096001322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001316829,0.0001298322,0.0002537833,0.0002385626,0.00020967,0.0004154513,0.0003784287,0.0000365095,0.0009484374],"category_scores_gemma":[0.00002903756,0.00008646806,0.00009063171,0.00006770009,0.0003304572,0.001522014,0.00004014896,0.0001026532,0.001760396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633052,"about_ca_system_score_gemma":0.0001138913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118675,"about_ca_topic_score_gemma":0.000004241369,"domain_scores_codex":[0.9986234,0.00009047591,0.0007875784,0.0002114733,0.00006821417,0.0002188327],"domain_scores_gemma":[0.9983183,0.0004313194,0.0007230555,0.0002576052,0.00005591958,0.0002138637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007786548,0.00001253099,0.001969036,8.692824e-7,0.00002177925,5.988418e-7,0.0002399717,0.0001094269,0.0055153,0.02659797,0.001499675,0.963955],"study_design_scores_gemma":[0.001780346,0.0003391568,0.01530909,0.00003094811,0.0000312208,0.001015965,0.005193056,0.001027316,0.003602217,0.6431888,0.3278772,0.000604682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714366,0.00003908589,0.01941491,0.004572979,0.0001442433,0.00008393981,0.00003988982,0.00001731029,0.004251045],"genre_scores_gemma":[0.9970531,0.0004952673,0.001418435,0.0006760311,0.0001246702,0.000004379332,0.000001873266,0.000008269933,0.0002179682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9633503,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145512846","doi":"10.5555/1283383.1283505","title":"The effectiveness of Stackelberg strategies and tolls for network congestion games","year":2007,"lang":"en","type":"article","venue":"CaltechAUTHORS (California Institute of Technology)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Stackelberg competition; Price of anarchy; Nash equilibrium; Latency (audio); Computer science; Mathematical optimization; Routing (electronic design automation); Flow network; Fraction (chemistry); Mathematics; Mathematical economics; Price of stability; Computer network; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03752062540813494,"gpt":0.353639239981146,"spread":0.3161186145730111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009267842,0.0001616074,0.0004015343,0.000285248,0.0003432324,0.0000595541,0.0007209821,0.0002893965,0.000004243044],"category_scores_gemma":[0.003444668,0.0001056912,0.00009886864,0.001206991,0.001888062,0.0002023001,0.0001618065,0.0001974355,0.000008771385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000218323,"about_ca_system_score_gemma":0.00009466573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006783775,"about_ca_topic_score_gemma":0.00004882428,"domain_scores_codex":[0.9981365,0.00009126306,0.0007609599,0.0003659988,0.0003110051,0.0003342525],"domain_scores_gemma":[0.9957813,0.002596014,0.0004369298,0.0006619346,0.000459145,0.00006468834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002923761,0.00003299103,0.00113553,0.00003951722,0.00002565948,8.011838e-7,0.00001746426,0.0005790679,0.008140866,0.9138022,0.0001285117,0.07580502],"study_design_scores_gemma":[0.000375152,0.0001775664,0.003469919,0.00008817395,0.00002973909,0.000009110269,0.0008204405,0.0002070304,0.05389201,0.8666561,0.07414765,0.0001271472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555816,0.0006330507,0.2413087,0.0005904254,0.0003027029,0.0007906488,0.00007376777,0.00008954737,0.0006295366],"genre_scores_gemma":[0.9926812,0.00005272218,0.007062737,0.000009699312,0.00003547624,0.00009394519,0.000005300744,0.000009993649,0.0000489415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2370995,"threshold_uncertainty_score":0.6956642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518570066","doi":"10.1257/aer.20161492","title":"Certified Random: A New Order for Coauthorship","year":2018,"lang":"en","type":"article","venue":"American Economic Review","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Alphabet; Order (exchange); Computer science; Certification; Norm (philosophy); First order; Mathematical economics; Operations research; Economics; Mathematics; Linguistics; Political science; Law; Management; Philosophy; Applied mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2276756610719252,"gpt":0.4664620319589168,"spread":0.2387863708869917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002624523,0.0001265561,0.0005962613,0.00005598528,0.0001226033,0.00007871888,0.0007198954,0.00001859546,0.00254529],"category_scores_gemma":[0.00171135,0.00009280937,0.0001858878,0.000382583,0.0004052169,0.0001190248,0.00005140398,0.0000499741,0.009241344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002943867,"about_ca_system_score_gemma":0.0001658523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006190372,"about_ca_topic_score_gemma":0.00006360729,"domain_scores_codex":[0.998341,0.0001750419,0.0007030655,0.0004510984,0.0001056187,0.0002242285],"domain_scores_gemma":[0.9969431,0.001455387,0.000484714,0.0008276923,0.0001163625,0.0001727144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004961536,0.0000103504,0.00006961637,0.00001605074,0.00001609975,6.400629e-8,0.00007089038,0.000002368584,0.00002305815,0.01836669,0.2175865,0.7637887],"study_design_scores_gemma":[0.0003389501,0.00007778431,0.0001753958,0.00006756762,0.00003298888,0.000004212955,0.00005562067,0.0001617104,0.00007393385,0.05256034,0.946321,0.0001305599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1146286,0.04786635,0.3549981,0.1928148,0.002839693,0.0130926,0.00022367,0.0005473993,0.2729888],"genre_scores_gemma":[0.8795254,0.01279513,0.01654891,0.03679306,0.002000717,0.0009133596,0.00002657411,0.00007923827,0.05131761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7648968,"threshold_uncertainty_score":0.9983665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035417355","doi":"10.1016/j.disc.2008.04.004","title":"The capture time of a graph","year":2008,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; McGill University","keywords":"Chordal graph; Mathematics; Combinatorics; Discrete mathematics; Time complexity; Bounded function; Indifference graph; Graph","retraction":null,"screen_n_in":null,"score":{"opus":0.06822045206016554,"gpt":0.3408326131160317,"spread":0.2726121610558662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042078,0.00007228831,0.0001615643,0.00004023037,0.0002708178,0.00003307654,0.0006803703,0.00003252951,0.0001689724],"category_scores_gemma":[0.0008416284,0.00003555274,0.0001128591,0.000410253,0.0003495295,0.0000523307,0.00006851123,0.00006668927,0.0006014759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002996802,"about_ca_system_score_gemma":0.00002007629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001413954,"about_ca_topic_score_gemma":0.000001334469,"domain_scores_codex":[0.9987606,0.00005635711,0.0004021052,0.0001204145,0.0005419019,0.0001185611],"domain_scores_gemma":[0.9974152,0.00148308,0.0002156018,0.0007212568,0.0001220516,0.00004284504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001361522,0.0001239167,0.0002467386,0.000011967,0.00003698608,0.000003662499,0.0169212,0.00007465277,0.003258332,0.9410167,0.03693707,0.001355184],"study_design_scores_gemma":[0.0000878479,0.00001540786,0.0003580611,0.000009460578,0.00001109964,0.00002840535,0.002466758,0.001644882,0.001619648,0.9834684,0.01020806,0.00008195505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7970381,0.0002586036,0.04074235,0.002132895,0.00008477464,0.0004463389,0.00005975807,0.00006826995,0.1591689],"genre_scores_gemma":[0.9792139,0.00001464883,0.002934833,0.00004692997,0.00001799791,0.00001447459,0.000001472658,0.000007707855,0.01774803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821758,"threshold_uncertainty_score":0.7730956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166717043","doi":"10.1016/j.geb.2007.02.002","title":"Iterated strict dominance in general games","year":2007,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Division of Mathematical Sciences; University of Hong Kong; National Science Council","keywords":"Iterated function; Risk dominance; Nash equilibrium; Mathematical economics; Spurious relationship; Best response; Class (philosophy); Epsilon-equilibrium; Mathematics; Dominance (genetics); Stochastic game; Correlated equilibrium; Set (abstract data type); Repeated game; Computer science; Equilibrium selection; Game theory; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.06196810361513819,"gpt":0.3641725447113662,"spread":0.302204441096228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001704473,0.0001050179,0.000208172,0.0001711947,0.00006446635,0.0001387169,0.0002530317,0.00006368183,0.0005280256],"category_scores_gemma":[0.00004951938,0.00008827922,0.00004709739,0.0001648429,0.00009313449,0.0001991987,0.00005950567,0.00009059228,0.0002941856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003869289,"about_ca_system_score_gemma":0.00002268986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009640385,"about_ca_topic_score_gemma":0.0002682405,"domain_scores_codex":[0.9987734,0.00004003663,0.0004981199,0.0003690019,0.00007669471,0.000242727],"domain_scores_gemma":[0.9991935,0.0002684193,0.0001209077,0.0003061792,0.00002110866,0.00008981977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009014158,0.0001286856,0.4010433,0.000001605888,0.000004322605,0.00002076136,0.0007642342,0.0001253178,0.003113421,0.01650586,0.001812695,0.5763897],"study_design_scores_gemma":[0.0004400969,0.00002565631,0.9684088,0.000004535778,0.000007798556,0.0000183738,0.0004276679,0.0003507286,0.001553215,0.003971171,0.02463388,0.0001580312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997133,0.0001583148,0.0002393361,0.0001523763,0.000151596,0.0001636148,0.00002424497,0.00001599991,0.001961498],"genre_scores_gemma":[0.9952636,0.00003761744,0.0004464372,0.00009971525,0.00007046555,0.00003323889,0.000003462183,0.000006654945,0.004038833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5762316,"threshold_uncertainty_score":0.5781509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028717431","doi":"10.1007/s10726-005-9003-9","title":"Integrating Uncertain Preferences into Status Quo Analysis with Applications to an Environmental Conflict","year":2005,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University; Wilfrid Laurier University; University of Waterloo; University of Windsor","funders":"","keywords":"Status quo; Preference; Decision maker; Status quo bias; Flexibility (engineering); Conflict analysis; Computer science; Conflict resolution; Uncertainty analysis; Management science; Graph; Operations research; Environmental economics; Microeconomics; Economics; Mathematics; Sociology; Theoretical computer science; Simulation; Social science; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.05597788604685049,"gpt":0.3686982426353608,"spread":0.3127203565885103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155952,0.0001792259,0.0002677417,0.0005136938,0.0004495002,0.0003692201,0.0003968136,0.00007251188,0.0005120593],"category_scores_gemma":[0.0001890094,0.0001226062,0.00006534446,0.001516434,0.0001000289,0.0006208295,0.00008758027,0.0001169458,0.000263012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006979358,"about_ca_system_score_gemma":0.00002280241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009117802,"about_ca_topic_score_gemma":0.002001957,"domain_scores_codex":[0.9975042,0.0001709885,0.0005756593,0.0007081627,0.0008129495,0.0002280824],"domain_scores_gemma":[0.9978378,0.000882201,0.0002277202,0.0006366128,0.00008469498,0.0003309758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001126478,0.0001961833,0.02026781,8.464958e-7,0.00004243826,2.558616e-7,0.00396221,0.003059617,0.002656272,0.01395417,0.0001505815,0.955597],"study_design_scores_gemma":[0.001558808,0.001142044,0.5471317,0.00003028197,0.0004267345,0.00001236816,0.02293466,0.06475242,0.001460018,0.0935958,0.2659199,0.001035257],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5870598,0.00005947802,0.4118467,0.0002704847,0.00001158724,0.0003161455,0.00002300543,0.00003282071,0.0003799792],"genre_scores_gemma":[0.9518546,0.00003703906,0.04717816,0.0004269677,0.00006823456,0.0001603107,0.00009508093,0.000009140151,0.0001705106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9545617,"threshold_uncertainty_score":0.560669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1549469597","doi":"10.5555/1036843.1036848","title":"Computing Nash equilibria of action-graph games","year":2004,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Stochastic game; Nash equilibrium; Computer science; Exponential function; Mathematics; Graph; Bottleneck; Mathematical optimization; Mathematical economics; Discrete mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.235146508396361,"gpt":0.2842161282027014,"spread":0.04906961980634042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785165,0.00009059032,0.0001684826,0.0002120285,0.000146582,0.00003326606,0.0006484108,0.00005319452,0.0001967799],"category_scores_gemma":[0.0001734855,0.00008601043,0.0001337543,0.001442632,0.0002236435,0.0002806613,0.0001357371,0.00009414402,0.0003140889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002981151,"about_ca_system_score_gemma":0.00005552118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003095848,"about_ca_topic_score_gemma":0.00002428003,"domain_scores_codex":[0.9990181,0.00008254885,0.0002225261,0.0003796763,0.0001334588,0.0001637305],"domain_scores_gemma":[0.9985955,0.0004268247,0.0002059332,0.0005219242,0.0001611489,0.00008861612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004599757,0.000127866,0.01025189,0.000004584587,0.0000264036,0.00001265741,0.0003545406,0.1196381,0.007383497,0.8597071,0.0001960502,0.002251326],"study_design_scores_gemma":[0.0007434604,0.00005797502,0.01615021,0.00002041684,0.00002859414,0.0000058064,0.002173149,0.00602333,0.006155518,0.9663554,0.002094744,0.0001914084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942592,0.00001092537,0.09939304,0.00008673134,0.0000852049,0.00007453714,0.000005341837,0.00004807011,0.006036962],"genre_scores_gemma":[0.998341,0.000007951468,0.0002966443,0.00004238566,0.00002780368,9.200226e-8,0.000001208081,0.000005092342,0.001277832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136148,"threshold_uncertainty_score":0.4037082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074089254","doi":"10.1023/b:jota.0000026133.56615.cf","title":"Zero-Sum Stochastic Games with Partial Information","year":2004,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Zero-sum game; Zero (linguistics); Theory of computation; Example of a game without a value; Mathematical economics; Space (punctuation); State (computer science); State space; Complete information; Mathematical optimization; Game theory; Repeated game; Combinatorial game theory; Computer science; Statistics; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.02090452493649449,"gpt":0.3071967091041004,"spread":0.2862921841676059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002146099,0.0001141983,0.0001973675,0.0002583968,0.0003019989,0.0002292927,0.0003356407,0.00005507907,0.0001315417],"category_scores_gemma":[0.0004389373,0.0000771636,0.00005873074,0.0006626112,0.0002149913,0.001164941,0.00003268041,0.0001485983,0.00005460676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002467709,"about_ca_system_score_gemma":0.0001179531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.431846e-7,"about_ca_topic_score_gemma":3.235272e-7,"domain_scores_codex":[0.9984233,0.0001272952,0.0007196511,0.0001351388,0.000469367,0.0001251874],"domain_scores_gemma":[0.9975559,0.0005935343,0.0007828707,0.000291368,0.000632886,0.0001434036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009589277,0.00004893554,0.00001868324,0.000001693871,0.00001205532,2.094424e-7,0.0003185719,0.5744827,0.00003026644,0.4185434,0.00004885148,0.006398791],"study_design_scores_gemma":[0.001627395,0.0002389275,0.0003039943,0.00004767213,0.0001028529,0.0002645916,0.002274515,0.003342116,0.0006510087,0.9746274,0.01628046,0.0002390831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01032741,0.00006609105,0.9872659,0.0009206442,0.00003414897,0.0002702309,0.0000110015,0.00001973624,0.001084874],"genre_scores_gemma":[0.9782108,0.00002888643,0.02114062,0.0002974242,0.0001048433,0.00006016708,0.000008495413,0.000008011343,0.0001407289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9678834,"threshold_uncertainty_score":0.3146641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312465470","doi":"10.3982/ecta15847","title":"Learning From Reviews: The Selection Effect and the Speed of Learning","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Army Research Office","keywords":"Product (mathematics); Quality (philosophy); Computer science; Selection (genetic algorithm); Learning effect; Rating system; Dynamics (music); Machine learning; Artificial intelligence; Econometrics; Statistics; Psychology; Economics; Mathematics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.06848698722976547,"gpt":0.3349427169976347,"spread":0.2664557297678692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008904551,0.0000584343,0.0002299001,0.0002006441,0.000752085,0.00007906947,0.0004108858,0.00001230166,0.001815584],"category_scores_gemma":[0.005619603,0.00002928725,0.00008896973,0.002115227,0.000124109,0.00006348472,0.0001922967,0.0003245792,0.0001210542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001748706,"about_ca_system_score_gemma":0.000008848659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003728894,"about_ca_topic_score_gemma":0.000001393466,"domain_scores_codex":[0.9974271,0.00173891,0.0003379495,0.0002073802,0.0002026136,0.00008603782],"domain_scores_gemma":[0.9896344,0.009740794,0.0003591762,0.0002186689,0.00002475055,0.00002221259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002747183,0.00005911213,0.1379685,0.000006885437,0.00008368331,3.328603e-7,0.005369685,0.02399677,0.0006633401,0.02067586,0.004740286,0.8061609],"study_design_scores_gemma":[0.001027834,0.0003735897,0.04683525,0.000004905835,0.0000564318,0.000007947167,0.004789616,0.01845483,0.0003347161,0.03304209,0.8949282,0.0001446129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855779,0.002454371,0.0005566436,0.001225416,0.00007799288,0.0003643729,0.000002643767,0.00001659877,0.00972401],"genre_scores_gemma":[0.9972124,0.0001167726,0.00002830581,0.00006678273,0.00004106409,0.00004834248,0.000001798261,0.000003928554,0.002480602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901879,"threshold_uncertainty_score":0.9990969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966154982","doi":"10.1111/j.1540-5982.2006.00378.x","title":"Formation of buyer‐seller trade networks in a quality‐differentiated product market","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Business; Product (mathematics); Set (abstract data type); Microeconomics; Association (psychology); Commerce; Product differentiation; Industrial organization; Complementary good; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.2221696235685593,"gpt":0.2523543694598248,"spread":0.03018474589126555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003202268,0.0001966722,0.0006606511,0.001067572,0.0001077371,0.0001287187,0.0008226719,0.0001291074,0.0005176189],"category_scores_gemma":[0.0004912199,0.0002027266,0.0002142922,0.0004616517,0.0001617294,0.0005896086,0.00001597097,0.0002926737,0.000009465034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000682186,"about_ca_system_score_gemma":0.000809533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06732734,"about_ca_topic_score_gemma":0.9715648,"domain_scores_codex":[0.9967287,0.0002808405,0.002152243,0.0003115949,0.000008870839,0.000517723],"domain_scores_gemma":[0.996717,0.0005294819,0.001414484,0.0005179836,0.0001939599,0.0006271233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002785703,0.0001003301,0.03768331,0.00004290623,0.00007286555,0.00004520364,0.00172604,0.1338556,0.0003116266,0.7952521,0.01354105,0.0170904],"study_design_scores_gemma":[0.001294392,0.0001566303,0.08895785,0.000104715,0.00003303149,0.0002547692,0.001195932,0.0192099,0.0008839805,0.8692987,0.01810224,0.0005078399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994013,0.0001697903,0.0007452258,0.002139065,0.0004253702,0.0002601074,0.0001197076,0.000003202306,0.002124548],"genre_scores_gemma":[0.9987709,0.00002315403,0.0001817595,0.0001363895,0.0002700227,0.00001118388,0.00001688148,0.00001929898,0.0005704135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042374,"threshold_uncertainty_score":0.9388834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145075030","doi":"10.1109/gamenets.2009.5137398","title":"Nash equilibrium design and optimization","year":2009,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Nash equilibrium; Mathematical optimization; Computer science; Epsilon-equilibrium; Best response; Maximization; Context (archaeology); Class (philosophy); Game theory; Mathematical economics; Correlated equilibrium; Equilibrium selection; Repeated game; Mathematics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1223732446420646,"gpt":0.3796588897837662,"spread":0.2572856451417015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009328113,0.00003947761,0.00005984186,0.00004938428,0.00005474437,0.000124313,0.0001664454,0.00002244469,0.0006730711],"category_scores_gemma":[0.0002533875,0.00002695981,0.0000136724,0.0002619418,0.00003200057,0.0001795005,0.00001898924,0.00002336193,0.0001754131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002537483,"about_ca_system_score_gemma":0.000008899881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.702034e-7,"about_ca_topic_score_gemma":9.386657e-8,"domain_scores_codex":[0.9993565,0.00006994119,0.0001454155,0.0001641868,0.0001903931,0.0000735783],"domain_scores_gemma":[0.9992884,0.0003607164,0.00003406846,0.0002084812,0.00005842404,0.000049867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004112381,0.00009340091,0.0001329344,4.777581e-7,0.000003562768,0.000001247146,0.0003884571,0.3840922,0.01190436,0.4135612,0.02515941,0.1646216],"study_design_scores_gemma":[0.0001833672,0.00008700476,0.001498504,0.000001710027,0.000004134329,0.000008341683,0.0001633474,0.3030511,0.005077871,0.6852581,0.004554102,0.0001123888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01744936,0.00001945197,0.9537318,0.00249051,0.00001671314,0.00009790124,3.785028e-7,0.00004347661,0.02615045],"genre_scores_gemma":[0.8812939,0.000002792139,0.1123337,0.0006303677,0.00001766192,0.000002556139,5.369932e-7,0.000001577733,0.005716897],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8638445,"threshold_uncertainty_score":0.7369657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062134357","doi":"10.1006/jeth.2000.2655","title":"Switching Costs in Frequently Repeated Games","year":2000,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Subgame perfect equilibrium; Stackelberg competition; Microeconomics; Incentive; Repeated game; Dominance (genetics); Economics; Dilemma; Stochastic game; Pareto principle; Strategic dominance; Coordination game; Game theory; Operations management; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04586147009671491,"gpt":0.3593450127705091,"spread":0.3134835426737941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007353105,0.00008570507,0.000280152,0.0002605996,0.00005553573,0.0001069706,0.0006652715,0.00004782169,0.007123544],"category_scores_gemma":[0.0004184615,0.0000642219,0.0001369429,0.000136184,0.00005661844,0.0004252202,0.00002216388,0.000227448,0.001078752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354339,"about_ca_system_score_gemma":0.00008613579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008465686,"about_ca_topic_score_gemma":0.00001919757,"domain_scores_codex":[0.9981498,0.0003638774,0.001023904,0.0001666797,0.0001458963,0.0001499172],"domain_scores_gemma":[0.9976783,0.001363296,0.0004835427,0.0003363035,0.00004593237,0.00009267036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004364267,0.000126343,0.007336956,0.000001329017,0.00004576342,0.00004302443,0.00167826,0.007632129,0.003157177,0.3011625,0.002369992,0.6760101],"study_design_scores_gemma":[0.0005414354,0.00004255854,0.009084532,0.00002947305,0.000007885666,0.0001365853,0.001001808,0.0002529938,0.000785416,0.9736757,0.01434185,0.00009976397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568499,0.0001817376,0.0003349075,0.0005229619,0.0001626146,0.00005407519,0.000003310694,0.000006706508,0.04188377],"genre_scores_gemma":[0.9965711,0.00004649879,0.0002083116,0.0002507076,0.000131853,0.000001478723,2.290611e-7,0.000007327533,0.002782477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6759104,"threshold_uncertainty_score":0.999699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032932628","doi":"10.1007/s001820300162","title":"On the geometry of Nash equilibria and correlated equilibria","year":2004,"lang":"en","type":"article","venue":"International Journal of Game Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Nash equilibrium; Polytope; Epsilon-equilibrium; Correlated equilibrium; Best response; Mathematical economics; Mathematics; Boundary (topology); Risk dominance; Combinatorics; Convex polytope; Symmetric equilibrium; Regular polygon; Convex geometry; Equilibrium selection; Game theory; Convex set; Geometry; Repeated game; Convex optimization; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.05398014815568975,"gpt":0.3669856524237441,"spread":0.3130055042680543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004947305,0.0001085376,0.0002285558,0.0003627335,0.0000438349,0.0001114838,0.0013981,0.00005076695,0.0007997314],"category_scores_gemma":[0.004013854,0.00006235294,0.0001600891,0.0003383467,0.0003892061,0.0002626487,0.0001670326,0.0002757858,0.0001187947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004146006,"about_ca_system_score_gemma":0.0000979998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002221749,"about_ca_topic_score_gemma":6.466078e-7,"domain_scores_codex":[0.9974373,0.0002846816,0.0008103591,0.0001531963,0.001194941,0.0001195406],"domain_scores_gemma":[0.9938427,0.004247334,0.0008334917,0.0002976544,0.000695977,0.00008287165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005732913,0.0001205145,0.0002105898,8.484487e-7,0.0001178345,0.0000138363,0.0006656679,0.0006983311,0.01800799,0.9690628,0.0004479473,0.01008036],"study_design_scores_gemma":[0.0006822122,0.0001574456,0.003155156,0.00007266195,0.0000171568,0.0001862087,0.0005037226,0.0001194458,0.004790117,0.9890901,0.001159775,0.00006597841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823228,0.0001764485,0.007346016,0.003658506,0.0005959016,0.00007320936,0.00001809356,0.00000745058,0.005801549],"genre_scores_gemma":[0.9984056,0.00002453871,0.0001541755,0.0006010265,0.0001406401,0.000001383752,7.577941e-7,0.000008866379,0.0006629655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02002733,"threshold_uncertainty_score":0.8756498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164714071","doi":"10.2139/ssrn.921639","title":"When Does Coordination Require Centralization","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.02111404736942371,"gpt":0.3168111920904463,"spread":0.2956971447210226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004446883,0.00009638522,0.0001227925,0.0001588638,0.0003807873,0.0002469623,0.0004900706,0.00005672284,0.0003514973],"category_scores_gemma":[0.0003125389,0.0000615731,0.00008923875,0.0004009266,0.00004775612,0.0006431879,0.00002622123,0.000478332,0.0002310529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205134,"about_ca_system_score_gemma":0.0004451607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000375504,"about_ca_topic_score_gemma":0.0005955205,"domain_scores_codex":[0.9974536,0.0001950222,0.000465662,0.0002207711,0.0006359154,0.001029049],"domain_scores_gemma":[0.9989706,0.0001763669,0.0002925467,0.0002446622,0.0002656346,0.00005013892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001166365,0.00003969307,0.002556499,3.750361e-7,0.000007554594,4.000828e-7,0.00006568438,0.0001643447,0.001212536,0.9732144,0.001837513,0.02088927],"study_design_scores_gemma":[0.0002257413,0.00003459826,0.001513086,0.000003094445,0.000008641453,0.00006431072,0.0008124177,0.0002676153,0.0004431648,0.9602773,0.03626507,0.00008492608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.485895,0.0005668905,0.4915195,0.01228278,0.0003614486,0.00020392,0.000007065693,0.00007434328,0.00908906],"genre_scores_gemma":[0.9685659,0.00008322049,0.0001453923,0.00006893246,0.0003597723,0.000004799861,0.000007262765,0.000009239946,0.03075544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4913741,"threshold_uncertainty_score":0.3848649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021508809","doi":"10.1016/j.dam.2009.06.032","title":"Multiple levels of preference in interactive strategic decisions","year":2009,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Mathematics; Graph; Stability (learning theory); Decision maker; Ranking (information retrieval); Mathematical economics; Mathematical optimization; Combinatorics; Computer science; Operations research; Artificial intelligence; Statistics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.2618965418645576,"gpt":0.4012302183666167,"spread":0.1393336765020591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106825,0.0001568166,0.0003882893,0.0002072277,0.00006025055,0.00006953086,0.0008103783,0.0000724019,0.0002234991],"category_scores_gemma":[0.000937101,0.0001134932,0.00007987242,0.0007540802,0.0001013576,0.0001359162,0.00008479369,0.0001757694,0.0002014637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001982765,"about_ca_system_score_gemma":0.00004399355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001901787,"about_ca_topic_score_gemma":0.00001710979,"domain_scores_codex":[0.9979479,0.0000399864,0.0008761114,0.0003332373,0.0005916561,0.000211087],"domain_scores_gemma":[0.9956968,0.002947498,0.0003743743,0.0007844261,0.0001181989,0.00007874268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004211981,0.0003371826,0.00004843378,0.000005439187,0.000007262096,0.000001114505,0.004126237,0.0004339976,0.0330073,0.9481722,0.00006824819,0.01375048],"study_design_scores_gemma":[0.0003992243,0.00003652319,0.003660553,0.00004500825,0.000007616598,0.00000187794,0.006526465,0.003571328,0.0100304,0.9755356,0.00005696789,0.0001284697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836365,0.00001118705,0.05984795,0.0001433959,0.00002381085,0.0004739028,0.00006833651,0.00003061134,0.1030358],"genre_scores_gemma":[0.9756754,0.000003439995,0.02402256,0.00004810036,0.00001072584,0.0000326922,0.000003783307,0.000007544666,0.0001957768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1393104,"threshold_uncertainty_score":0.4628116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2517446547","doi":"10.1016/j.ejor.2016.08.014","title":"A general hierarchical graph model for conflict resolution with application to greenhouse gas emission disputes between USA and China","year":2016,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for International Governance Innovation; Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Greenhouse gas; Hierarchical database model; Graph; China; Conflict resolution; Computer science; Operations research; Theoretical computer science; Mathematics; Political science; Data mining; Geology; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1861737286061006,"gpt":0.4356804138662638,"spread":0.2495066852601632,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01133466,0.0001124937,0.0001952257,0.0004433469,0.0005348713,0.0002392872,0.0006547286,0.00002751155,0.00003841617],"category_scores_gemma":[0.002389424,0.00005894401,0.00006429299,0.0004870944,0.000289859,0.0003761141,0.0001456931,0.0002445779,0.00006150805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004119524,"about_ca_system_score_gemma":0.0001832591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003199676,"about_ca_topic_score_gemma":0.000005956735,"domain_scores_codex":[0.9962491,0.0009225584,0.000635632,0.0003580314,0.001563211,0.0002715024],"domain_scores_gemma":[0.9960949,0.001675303,0.0001635944,0.0003180477,0.001328985,0.0004192011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004009911,0.0004305605,0.0155382,0.00001746289,0.0001101058,0.00002423625,0.003240265,0.0145523,0.2431709,0.193729,0.03263622,0.4925408],"study_design_scores_gemma":[0.007854626,0.006350817,0.4796755,0.0004327823,0.0000645118,0.0003181347,0.0002636883,0.1417696,0.01015368,0.2464497,0.1057578,0.000909083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4973122,0.00001619123,0.4929963,0.008973095,0.000008110485,0.0002611237,0.00003674229,0.000004167137,0.0003920697],"genre_scores_gemma":[0.9727772,0.00003102745,0.02388971,0.0000839769,0.0004129707,0.00002382797,0.000004340804,0.00001975607,0.002757159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916318,"threshold_uncertainty_score":0.4113851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}