{"meta":{"query_hash":"ac95eb3fedd4","filters":{"venue":"Quantitative Economics"},"cohort_total":63,"direct_labels_cover":0,"predictions_cover":63,"exported":63,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ac95eb3fedd4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Quantitative+Economics"},"results":[{"id":"W1558719734","doi":"10.3982/qe24","title":"Partial identification of spread parameters","year":2010,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Northwestern University","keywords":"Missing data; Nonparametric statistics; Identification (biology); Cumulative distribution function; Mathematics; Statistics; Variance (accounting); Range (aeronautics); Entropy (arrow of time); Measure (data warehouse); Econometrics; Computer science; Data mining; Probability density function","score_opus":0.1393675237942017,"score_gpt":0.4014326211521277,"score_spread":0.262065097357926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558719734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8243175,0.0000031299526,0.17368005,0.000064378604,0.000401828,0.00010244635,0.000062108695,0.000014584118,0.0013539762],"genre_scores_gemma":[0.57953364,0.0000055355727,0.4203772,0.000013764058,0.00001483953,0.000008854139,0.0000023452192,0.0000083032755,0.000035510024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918973,0.000054185464,0.0004401591,0.00016186945,0.00003904801,0.000115033225],"domain_scores_gemma":[0.99757665,0.0017828249,0.00028176862,0.00023582953,0.00007693511,0.000046016885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053938216,0.00008162665,0.00020360593,0.000043282795,0.000030438398,0.000020991894,0.00012654261,0.00005476155,0.0001260644],"category_scores_gemma":[0.002873995,0.00007902021,0.000052031428,0.000045238736,0.00017274551,0.00007815993,0.000021346235,0.00012050643,0.00005229712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016204818,0.000044011733,0.00055604085,0.000018847835,0.000019379619,1.8034795e-7,0.00025396826,0.0000062773365,0.010889982,0.98377234,0.00009112925,0.0043316553],"study_design_scores_gemma":[0.00015794535,0.00008789295,0.0030232,0.0000065949594,0.000023612367,9.921002e-7,0.00017773235,0.011887033,0.067744024,0.9165115,0.00026021746,0.000119285905],"about_ca_topic_score_codex":0.00001796329,"about_ca_topic_score_gemma":0.000025650159,"teacher_disagreement_score":0.24669714,"about_ca_system_score_codex":0.000009304152,"about_ca_system_score_gemma":0.00002788703,"threshold_uncertainty_score":0.34406483},"labels":[],"label_agreement":null},{"id":"W1572831179","doi":"10.3982/qe353","title":"Altruistically motivated transfers under uncertainty","year":2014,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Consumption (sociology); Microeconomics; Incentive; Markov perfect equilibrium; Limit (mathematics); Nash equilibrium; Mathematics","score_opus":0.03971910181425162,"score_gpt":0.3009847565784082,"score_spread":0.26126565476415653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572831179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84670824,0.000018296661,0.07388479,0.0013476044,0.000702749,0.00019131669,0.000051493505,0.000092906805,0.07700258],"genre_scores_gemma":[0.9946739,0.00021508793,0.0033297744,0.0009710012,0.00012478746,0.0000077249915,0.000026551028,0.000022338636,0.00062880234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998635,0.00025932636,0.00027451894,0.00031725675,0.000097373304,0.00041654365],"domain_scores_gemma":[0.9988161,0.000614033,0.00007104451,0.00017457345,0.0001367071,0.00018758676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007348102,0.00015453513,0.0002428008,0.00007226219,0.00038963597,0.000090525384,0.000269443,0.00013467381,0.00013909143],"category_scores_gemma":[0.00035129787,0.0001657973,0.000091542446,0.00015602092,0.0004964937,0.00016091322,0.000015925867,0.00014632706,0.00017029648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017527087,0.000036694077,0.0041713123,0.0000049477158,0.000038835406,3.3796e-7,0.006918685,0.0075706113,0.00004158182,0.98046947,0.00016385426,0.0005661458],"study_design_scores_gemma":[0.0022520085,0.0007907162,0.10804497,0.000035787354,0.00011295305,0.000001141126,0.12041274,0.11895244,0.000040526837,0.5639086,0.0839273,0.0015208623],"about_ca_topic_score_codex":0.0010342266,"about_ca_topic_score_gemma":0.0039754333,"teacher_disagreement_score":0.41656092,"about_ca_system_score_codex":0.0001965112,"about_ca_system_score_gemma":0.00022966106,"threshold_uncertainty_score":0.6761018},"labels":[],"label_agreement":null},{"id":"W1594510601","doi":"10.3982/qe2","title":"Childhood determinants of risk aversion: The long shadow of compulsory education","year":2011,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Risk aversion (psychology); Economics; Volatility (finance); Graduation (instrument); Demographic economics; Panel Study of Income Dynamics; Panel data; Shadow (psychology); Actuarial science; Psychology; Econometrics; Financial economics; Expected utility hypothesis","score_opus":0.028374354617641217,"score_gpt":0.23966984984145334,"score_spread":0.21129549522381214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594510601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994712,0.00012060446,0.000046463294,0.0000132986,0.00032722772,0.0001749414,0.0000105334575,0.000010520951,0.0045844098],"genre_scores_gemma":[0.99832153,0.000066248576,0.0012706359,0.00013627432,0.000119945056,0.000004532245,0.000023085111,0.000015320393,0.00004240221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911,0.000023764153,0.0004664277,0.00019894664,0.000072004215,0.00012890133],"domain_scores_gemma":[0.9983703,0.00010287528,0.0010020928,0.0002774045,0.00023970321,0.00000765871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037193298,0.00013239798,0.000286129,0.00020977118,0.00012193053,0.000025080539,0.00028977415,0.000040851868,0.00032555466],"category_scores_gemma":[0.00017045923,0.00010992956,0.00014392304,0.00023084409,0.00014232108,0.0006162466,0.0001154476,0.000075515985,0.000138412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004470728,0.00018450075,0.96039706,0.000048565184,0.000020714147,3.0697805e-7,0.001172211,0.000029028983,0.000007777295,0.034352474,0.00021847512,0.0035241526],"study_design_scores_gemma":[0.00020011076,0.000023010694,0.9843502,0.000060885188,0.0001300008,2.9378936e-7,0.0012655483,0.0045233318,0.00029326702,0.008743165,0.00027727813,0.00013290637],"about_ca_topic_score_codex":0.0020696444,"about_ca_topic_score_gemma":0.0008958343,"teacher_disagreement_score":0.025609307,"about_ca_system_score_codex":0.000019680074,"about_ca_system_score_gemma":0.000051891227,"threshold_uncertainty_score":0.44827974},"labels":[],"label_agreement":null},{"id":"W2122794673","doi":"10.3982/qe442","title":"Political mergers as coalition formation: An analysis of the<i>Heisei</i>municipal amalgamations","year":2015,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Canadian Institute for Advanced Research; Yale University","keywords":"Incentive; Government (linguistics); Economics; Microeconomics; Consumption (sociology); Politics; Public economics; Local government; Public administration; Political science","score_opus":0.09734726272324165,"score_gpt":0.3699155939451613,"score_spread":0.2725683312219197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122794673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95108825,0.000018207407,0.004646862,0.001584078,0.00020567283,0.00014589506,0.00006780698,0.00001718069,0.04222607],"genre_scores_gemma":[0.9989803,0.000034651763,0.00037610394,0.00034757928,0.000030057052,0.0000068648187,0.000057388785,0.0000039985275,0.00016307361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990754,0.00020082817,0.00026995217,0.00010695214,0.00016430262,0.00018255918],"domain_scores_gemma":[0.9992939,0.00009125436,0.00019084245,0.000157762,0.00014512609,0.000121108955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045371676,0.00005976001,0.0001500184,0.00007167766,0.0001859474,0.00004324236,0.00016839012,0.000053019532,0.00006839593],"category_scores_gemma":[0.00029435568,0.000054463006,0.00009598779,0.00042947126,0.00023310243,0.00076291827,0.000020671223,0.00003884176,0.000025357083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000131473935,0.000038831888,0.006026526,0.0000014868782,0.000052856263,5.9828274e-8,0.0107230665,0.00624325,0.0000038366466,0.9767029,0.00015638316,0.000037629477],"study_design_scores_gemma":[0.0011733794,0.00039703408,0.062598124,0.000030985513,0.0011563374,4.987795e-7,0.3251135,0.38917518,0.0012050841,0.16209482,0.056468923,0.00058613444],"about_ca_topic_score_codex":0.0020746223,"about_ca_topic_score_gemma":0.0045397105,"teacher_disagreement_score":0.8146081,"about_ca_system_score_codex":0.00029107116,"about_ca_system_score_gemma":0.00017961013,"threshold_uncertainty_score":0.31362224},"labels":[],"label_agreement":null},{"id":"W2292891253","doi":"10.3982/qe1253","title":"Identification of counterfactuals in dynamic discrete choice models","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"European Research Council; Seventh Framework Programme; Agence Nationale de la Recherche","keywords":"Counterfactual conditional; Counterfactual thinking; Identification (biology); Discrete choice; Econometrics; Class (philosophy); Computer science; Mathematical economics; Mathematics; Mathematical optimization; Economics; Artificial intelligence; Psychology","score_opus":0.04085087666382824,"score_gpt":0.29204420084813854,"score_spread":0.2511933241843103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292891253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925938,0.00019873373,0.0028373399,0.00019145805,0.00024287017,0.00010939423,0.000017889983,0.000016577009,0.003791929],"genre_scores_gemma":[0.9993488,0.00008011878,0.00019577904,0.00011024031,0.000023453958,0.000009148234,0.000043734755,0.000016280263,0.00017242611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911326,0.000015390278,0.00044865927,0.00023597134,0.000048230173,0.00013851002],"domain_scores_gemma":[0.9992433,0.00015464652,0.00028127586,0.00019001332,0.00012507489,0.0000056762296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033580544,0.00010498421,0.00021321347,0.00017677495,0.00003990705,0.00011445508,0.00012541958,0.00003790518,0.000113828064],"category_scores_gemma":[0.00012152415,0.00012225866,0.000056729757,0.00020936345,0.000043292654,0.0012334395,0.000079009966,0.00007666374,0.000054426113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025768185,0.00048898667,0.3744076,0.00090188265,0.0002088369,0.000022250759,0.0020030108,0.028602567,0.044081002,0.51549196,0.0002911228,0.033243123],"study_design_scores_gemma":[0.0009462855,0.000009336627,0.24944663,0.00010860737,0.00009365685,0.0000014070343,0.002304149,0.7120486,0.0015874068,0.030801132,0.002180754,0.00047203747],"about_ca_topic_score_codex":0.00034051252,"about_ca_topic_score_gemma":0.0019820344,"teacher_disagreement_score":0.68344605,"about_ca_system_score_codex":0.000040050443,"about_ca_system_score_gemma":0.000031954947,"threshold_uncertainty_score":0.49855632},"labels":[],"label_agreement":null},{"id":"W2317002905","doi":"10.3982/qe170","title":"Partial identification of finite mixtures in econometric models","year":2014,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Toulouse School of Economics; Social Sciences and Humanities Research Council of Canada; University of Tokyo; National Science Foundation","keywords":"Observable; Mathematics; Component (thermodynamics); A priori and a posteriori; Identification (biology); Econometrics; Applied mathematics; Econometric model; Outcome (game theory); Statistics; Mathematical economics; Physics","score_opus":0.17108298594774463,"score_gpt":0.38360764185973156,"score_spread":0.21252465591198694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317002905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4322858,0.000023830095,0.5636435,0.000034660075,0.00010951492,0.00009800548,0.00004279352,0.000008054646,0.0037538193],"genre_scores_gemma":[0.83746904,0.000034159653,0.16238922,0.000024292385,0.000017896595,0.0000144778005,0.0000038608378,0.000010762408,0.000036284604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988578,0.00014290163,0.0006282481,0.00019901637,0.000035178615,0.00013688467],"domain_scores_gemma":[0.9954961,0.0039034903,0.00030788922,0.00020014337,0.00005462388,0.00003774732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009516175,0.00009477588,0.0003000082,0.00021716313,0.000020585652,0.000020685444,0.00013347878,0.000054480985,0.00007320429],"category_scores_gemma":[0.0033024703,0.00009618492,0.00004734764,0.00015273414,0.00008012308,0.00013608385,0.000025950438,0.00007808155,0.000025516001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017516653,0.000053732663,0.0004072381,0.000036046044,0.000011064303,9.38796e-8,0.00029409138,0.0031090563,0.00011108695,0.99165785,0.00003493256,0.0042672637],"study_design_scores_gemma":[0.00015422792,0.00005735874,0.0010501397,0.000008478618,0.0000061955357,1.1640744e-7,0.000052983025,0.36538327,0.0020734041,0.631096,0.00004511318,0.0000727149],"about_ca_topic_score_codex":0.000022430795,"about_ca_topic_score_gemma":0.000016214683,"teacher_disagreement_score":0.40518326,"about_ca_system_score_codex":0.000032280997,"about_ca_system_score_gemma":0.000022371241,"threshold_uncertainty_score":0.39536038},"labels":[],"label_agreement":null},{"id":"W2505351989","doi":"10.3982/qe478","title":"Unobserved heterogeneity in dynamic games: Cannibalization and preemptive entry of hamburger chains in Canada","year":2016,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cannibalization; Economics; Advertising; Microeconomics; Business; Industrial organization","score_opus":0.02641274288075683,"score_gpt":0.2373525609145468,"score_spread":0.21093981803378997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505351989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874175,0.0001293452,0.00016361104,0.00023431168,0.00013909879,0.00017141404,0.000023283428,0.0000057689726,0.00039143782],"genre_scores_gemma":[0.99963295,0.00013101613,0.000055589117,0.0001011784,0.00001026077,0.000011018484,0.000010322314,0.000011771863,0.00003585946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992436,0.00002174175,0.00031445333,0.00021227798,0.00003885407,0.00016907684],"domain_scores_gemma":[0.99950653,0.00014186572,0.00019374973,0.000103969316,0.00004430269,0.0000095785945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022732545,0.000113567454,0.00021901197,0.00018700594,0.000021105632,0.000021658196,0.0000778267,0.000030386675,0.000041644813],"category_scores_gemma":[0.00008439939,0.0001017081,0.000021666165,0.00014497714,0.000043522166,0.00047459884,0.000063645915,0.000044209224,0.0000022830448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005422395,0.000017889615,0.9912997,0.000045030785,0.00001068044,0.0000030407577,0.00010812111,0.00009686171,0.00032923414,0.0028448033,0.000019981291,0.0051704617],"study_design_scores_gemma":[0.0006315111,0.0000056680306,0.9873302,0.0001038237,0.000010478946,2.6752414e-7,0.0006029142,0.010413164,0.000115222414,0.00033468715,0.00029949076,0.00015254765],"about_ca_topic_score_codex":0.58691245,"about_ca_topic_score_gemma":0.98071545,"teacher_disagreement_score":0.393803,"about_ca_system_score_codex":0.00024221021,"about_ca_system_score_gemma":0.00014860231,"threshold_uncertainty_score":0.41583833},"labels":[],"label_agreement":null},{"id":"W2599208463","doi":"10.3982/qe321","title":"Dynamic skill accumulation, education policies, and the return to schooling","year":2017,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Graduation (instrument); Wage; Economics; Demographic economics; Labour economics; Instrumental variable; Econometrics; Mathematics","score_opus":0.05140553532377361,"score_gpt":0.3298576502926928,"score_spread":0.2784521149689192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599208463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716825,0.00070933707,0.003465368,0.009654754,0.0008079426,0.00038084478,0.00019236108,0.00001795058,0.013088972],"genre_scores_gemma":[0.99288106,0.00068510865,0.0042885654,0.0011747439,0.00007439563,0.000036629426,0.000020430685,0.000025782001,0.00081325654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987616,0.000033813205,0.00056156656,0.00039678923,0.00001764739,0.0002286128],"domain_scores_gemma":[0.9982235,0.00020410934,0.0006652557,0.000725893,0.00008058334,0.000100647696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013667331,0.00016074262,0.00036606216,0.0001348522,0.0006794143,0.0006510872,0.00043447097,0.0000737813,0.00003485491],"category_scores_gemma":[0.0012985553,0.00015188889,0.000078325145,0.00006062523,0.0002126184,0.0005301647,0.00017588589,0.00014252427,0.0001309778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005234186,0.000020185496,0.033362973,0.000008964886,0.000036248483,1.108914e-7,0.0010743755,0.00015331955,0.0000016769428,0.9640975,0.00006651089,0.0011258035],"study_design_scores_gemma":[0.0007184849,0.000028989056,0.22678046,0.00001648096,0.0000073696187,0.0000015467164,0.00041139685,0.03751544,0.0000030770627,0.72327036,0.010986704,0.00025971275],"about_ca_topic_score_codex":0.0019169996,"about_ca_topic_score_gemma":0.0008058514,"teacher_disagreement_score":0.24082714,"about_ca_system_score_codex":0.0001537392,"about_ca_system_score_gemma":0.00006585131,"threshold_uncertainty_score":0.62784487},"labels":[],"label_agreement":null},{"id":"W2772340637","doi":"10.3982/qe1851","title":"Permanent‐income inequality","year":2022,"lang":"en","type":"preprint","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Permanent income hypothesis; Human capital; Market liquidity; Inequality; Consumption (sociology); Income shares; Economic inequality; Distribution (mathematics); Econometrics; Discounting; Income distribution; Labour economics; Wealth elasticity of demand; Income inequality metrics; Autonomous consumption; National wealth; Monetary economics; Macroeconomics; Finance; Debt","score_opus":0.053875228732078895,"score_gpt":0.29285361307048946,"score_spread":0.23897838433841057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772340637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781393,0.000264651,0.000064372914,0.00035544168,0.0021730333,0.00051893905,0.00016308326,0.00016889644,0.018152287],"genre_scores_gemma":[0.99093086,0.000162959,0.0016727431,0.0019643882,0.0013365198,0.00016062328,0.002437092,0.00012511763,0.0012096859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727505,0.00006343409,0.0009895891,0.0009963043,0.00024032965,0.0004352664],"domain_scores_gemma":[0.9973789,0.00014186796,0.0013227406,0.0008814615,0.00025243728,0.000022578908],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001076378,0.0005338875,0.00087316317,0.0006748917,0.0003960349,0.0005560953,0.00088872545,0.00018465806,0.005224799],"category_scores_gemma":[0.0002745208,0.0006189362,0.00050892355,0.00034122312,0.00011544491,0.0008907354,0.0029422962,0.000743999,0.0015190741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009969041,0.00014078611,0.5530424,0.0005611694,0.000108378845,0.000017107543,0.0002825567,0.006046303,0.00000893665,0.43649492,0.003007371,0.0001903819],"study_design_scores_gemma":[0.0010061756,0.000055736615,0.45725098,0.00018438317,0.0006539914,0.0000010815234,0.0010963413,0.07540321,0.000012953617,0.1634899,0.29830506,0.002540188],"about_ca_topic_score_codex":0.0020754924,"about_ca_topic_score_gemma":0.0006142276,"teacher_disagreement_score":0.29529768,"about_ca_system_score_codex":0.00035768095,"about_ca_system_score_gemma":0.00011189493,"threshold_uncertainty_score":0.9996262},"labels":[],"label_agreement":null},{"id":"W2794800071","doi":"10.3982/qe91","title":"Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation","year":2012,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; National Science Foundation","keywords":"Nonparametric statistics; Economics; Estimation; Gasoline; Econometrics; Market demand schedule; On demand; Demand curve; Microeconomics; Commerce; Chemistry","score_opus":0.03862097718535717,"score_gpt":0.27085994627843046,"score_spread":0.2322389690930733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794800071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910959,0.00091512816,0.0050140237,0.00016041455,0.00018634278,0.00013755217,0.000032036885,0.000020889145,0.002437685],"genre_scores_gemma":[0.99457926,0.0014618832,0.0036675187,0.0000708288,0.000058311456,0.000029301485,0.000023032091,0.00002363105,0.000086250126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990098,0.00011202832,0.00041865918,0.00018111484,0.000050587467,0.0002278299],"domain_scores_gemma":[0.99856806,0.00080841425,0.00030703662,0.00021042174,0.000025333962,0.00008072188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000509691,0.00015010042,0.00022888102,0.00021091843,0.000180362,0.00002543377,0.00011094389,0.00006543365,0.000057521447],"category_scores_gemma":[0.000119387165,0.00013391786,0.000060549984,0.00012679806,0.00017534537,0.00042138665,0.000022105021,0.000086956585,0.00004072178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010124154,0.00006835834,0.02246372,0.00003021911,0.00013759945,2.5075033e-7,0.0019732926,0.43388608,0.0003922926,0.5399014,0.000025923542,0.0010196678],"study_design_scores_gemma":[0.0009891307,0.00016333272,0.8607072,0.000032747128,0.00017660474,0.000012015593,0.001511913,0.11435029,0.008035802,0.007088119,0.0065205065,0.00041234467],"about_ca_topic_score_codex":0.0004665091,"about_ca_topic_score_gemma":0.0003631782,"teacher_disagreement_score":0.8382435,"about_ca_system_score_codex":0.00009068711,"about_ca_system_score_gemma":0.00003576867,"threshold_uncertainty_score":0.54610115},"labels":[],"label_agreement":null},{"id":"W2884093706","doi":"10.3982/qe950","title":"Measuring quality for use in incentive schemes: The case of “shrinkage” estimators","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Incentive; Quality (philosophy); Estimator; Raw data; Econometrics; Measure (data warehouse); Transformation (genetics); Computer science; Data quality; Statistics; Economics; Environmental economics; Actuarial science; Operations management; Mathematics; Data mining; Microeconomics","score_opus":0.18278748571399953,"score_gpt":0.39561064827400877,"score_spread":0.21282316256000924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884093706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734235,0.000063368505,0.00023531532,0.00016872719,0.00024975545,0.00042866124,0.000036442554,0.000009288192,0.0014661213],"genre_scores_gemma":[0.9965153,0.00007267411,0.0031423573,0.00007027024,0.000039759278,0.000023005097,0.0000024631104,0.000007571865,0.00012662655],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9991508,0.00014512005,0.00028962124,0.00017337424,0.000044882163,0.0001961657],"domain_scores_gemma":[0.9980316,0.0014574867,0.00020612858,0.00016642503,0.00010222916,0.000036086196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015602343,0.00007734767,0.00018800734,0.000058402566,0.00015933422,0.00005260344,0.00017550778,0.000052802177,0.000036486104],"category_scores_gemma":[0.0006264728,0.00006719063,0.00006703874,0.0001283575,0.00017388679,0.00066524243,0.000028802555,0.00010257901,0.000037800248],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011738951,0.00004678183,0.54546165,0.000056908277,0.000042033284,0.0000028273128,0.022158539,0.00076317595,0.000042686974,0.43009236,0.00007303799,0.0011426251],"study_design_scores_gemma":[0.006525569,0.00065760396,0.40423343,0.00044855013,0.00009024152,0.000010741375,0.42583835,0.051767882,0.0058108848,0.039732497,0.06305215,0.0018321066],"about_ca_topic_score_codex":0.005517607,"about_ca_topic_score_gemma":0.033794533,"teacher_disagreement_score":0.4036798,"about_ca_system_score_codex":0.000111711735,"about_ca_system_score_gemma":0.00014961619,"threshold_uncertainty_score":0.9838362},"labels":[],"label_agreement":null},{"id":"W2912569281","doi":"10.3982/qe1760","title":"Consumption peer effects and utility needs in India","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Consumption (sociology); Microdata (statistics); Rupee; Economics; Welfare; Public economics; Peer group; Affect (linguistics); Externality; Social Welfare; Survey data collection; Public good; Business; Microeconomics; Psychology; Environmental health; Monetary economics; Social psychology; Medicine","score_opus":0.024849857556202882,"score_gpt":0.24785364470215573,"score_spread":0.22300378714595284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912569281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644774,0.00013011711,0.000016379334,0.00012929685,0.00027196374,0.00023503389,0.000009763565,0.000026552103,0.0027331521],"genre_scores_gemma":[0.9986295,0.000019286554,0.00020252315,0.00074671133,0.000066303364,0.000037851638,0.00009337832,0.000014884154,0.0001895585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916947,0.00003506768,0.00026972377,0.00024880643,0.000096079326,0.00018084714],"domain_scores_gemma":[0.99946284,0.00013793657,0.00019620488,0.00013416026,0.000060094608,0.000008789414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007237487,0.0001297098,0.00023221936,0.0005160435,0.00020710434,0.0001107405,0.000113765476,0.0000290095,0.00050548045],"category_scores_gemma":[0.00017126345,0.00015271628,0.000051649517,0.0003526868,0.00006278872,0.0007065168,0.00023696822,0.0001481972,0.00014094544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005445845,0.00004392616,0.8705536,0.00006702698,0.0000074590653,0.0000036192794,0.00028187007,0.0000693578,0.000023259203,0.12795214,0.00054971303,0.00039356048],"study_design_scores_gemma":[0.0005397549,0.00002151852,0.9540873,0.0000092905975,0.000030754698,4.492585e-7,0.0004520981,0.022198172,0.000010027886,0.0059577166,0.016505258,0.00018763187],"about_ca_topic_score_codex":0.00031466855,"about_ca_topic_score_gemma":0.00016432759,"teacher_disagreement_score":0.12199442,"about_ca_system_score_codex":0.00007777342,"about_ca_system_score_gemma":0.000015465084,"threshold_uncertainty_score":0.6227589},"labels":[],"label_agreement":null},{"id":"W2943608204","doi":"10.3982/qe1060","title":"Jump factor models in large cross‐sections","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Jump; Estimator; Econometrics; Factor analysis; Mathematics; Heteroscedasticity; Statistics; Null hypothesis; Economics; Physics","score_opus":0.06776226396943172,"score_gpt":0.2727294538677635,"score_spread":0.20496718989833176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943608204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8291551,0.0005061458,0.0008983388,0.00012199469,0.0008022857,0.00025589424,0.0004908118,0.00002731308,0.16774213],"genre_scores_gemma":[0.99602276,0.0004346424,0.00088509475,0.00027022918,0.000039273906,0.00002968825,0.00002555769,0.000030400728,0.002262355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847203,0.000014480593,0.00064440916,0.00047345093,0.000014283455,0.00038133533],"domain_scores_gemma":[0.99928737,0.00008258146,0.00027269867,0.0002770712,0.000024990117,0.00005529299],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031651044,0.00018308834,0.0004280944,0.00029958927,0.000081935905,0.00013952471,0.00019602629,0.00011687321,0.0010166705],"category_scores_gemma":[0.000047665293,0.0002265747,0.00012399296,0.00016507748,0.0000613739,0.0011279372,0.000054352215,0.00017543526,0.0024914085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000221706,0.00007228182,0.1253752,0.000014679547,0.00001871119,5.7264265e-7,0.00048233653,0.0041270144,0.0000034733346,0.86977017,0.000090655405,0.00002275774],"study_design_scores_gemma":[0.0012209887,0.00019433894,0.4013531,0.000016297476,0.0000015343761,8.538668e-7,0.00040278188,0.06564244,0.000043774442,0.50983864,0.020801388,0.00048386856],"about_ca_topic_score_codex":0.0002997119,"about_ca_topic_score_gemma":0.00033702597,"teacher_disagreement_score":0.3599315,"about_ca_system_score_codex":0.00018292734,"about_ca_system_score_gemma":0.00004148997,"threshold_uncertainty_score":0.9998965},"labels":[],"label_agreement":null},{"id":"W2943637525","doi":"10.3982/qe954","title":"Uncertainty about future income: Initial beliefs and resolution during college","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Spencer Foundation; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Earnings; Variety (cybernetics); Economics; Econometrics; Survey data collection; Demographic economics; Psychology; Actuarial science; Accounting; Statistics; Mathematics","score_opus":0.01077401130276457,"score_gpt":0.23425782579231513,"score_spread":0.22348381448955057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943637525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99417514,0.00020418153,0.000008213933,0.000259942,0.00062644883,0.0002924694,0.00003467684,0.000051941966,0.0043469924],"genre_scores_gemma":[0.9973691,0.00010206196,0.0005093503,0.00042877535,0.001034643,0.000010684163,0.00009349996,0.000029207786,0.0004226425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988428,0.000017633152,0.0003796758,0.00040044467,0.00009021555,0.0002692426],"domain_scores_gemma":[0.99923444,0.000058655976,0.00031928546,0.00021822577,0.00015296764,0.000016453141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029730157,0.000208886,0.00032823303,0.00030620067,0.00025529866,0.00016939885,0.00014975895,0.00009283493,0.0002806678],"category_scores_gemma":[0.00006655855,0.00021868692,0.00008919657,0.00029291626,0.00007468419,0.0013375076,0.0001799951,0.0001379564,0.000646336],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028140933,0.000043137752,0.48195302,0.00022499757,0.00004088009,0.000006799362,0.000266581,0.001277194,0.00019446661,0.51495236,0.0005792362,0.0001799177],"study_design_scores_gemma":[0.0017252179,0.00005126793,0.90318125,0.00012195735,0.00008045599,0.0000019771035,0.0012021527,0.04466083,0.00004984013,0.0065026474,0.04181046,0.0006119351],"about_ca_topic_score_codex":0.00031910022,"about_ca_topic_score_gemma":0.0006849135,"teacher_disagreement_score":0.50844973,"about_ca_system_score_codex":0.00009906844,"about_ca_system_score_gemma":0.00002756787,"threshold_uncertainty_score":0.8917794},"labels":[],"label_agreement":null},{"id":"W2964059285","doi":"10.3982/qe863","title":"HIP, RIP, and the robustness of empirical earnings processes","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Econometrics; Heteroscedasticity; Economics; Covariance; Robustness (evolution); Statistics; Mathematics; Accounting","score_opus":0.04114451376892757,"score_gpt":0.2725908572981561,"score_spread":0.2314463435292285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964059285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865842,0.0009178886,0.0019677277,0.0011367226,0.00031390676,0.00029196622,0.00014243569,0.000013693425,0.008631472],"genre_scores_gemma":[0.997167,0.0007146643,0.0013498313,0.00018051473,0.000031687072,0.000015746193,0.00001017685,0.00002161292,0.0005087915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987175,0.00004767662,0.0006538835,0.00036466017,0.00001994355,0.00019635283],"domain_scores_gemma":[0.9982351,0.0007312714,0.0006177104,0.00028342544,0.00008683278,0.00004566418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013126796,0.0001495723,0.0005711008,0.00009594589,0.000066269815,0.00006368521,0.00023382681,0.00008069632,0.00016929307],"category_scores_gemma":[0.00051188766,0.0001269196,0.000084723964,0.0001779725,0.00029382162,0.00024880207,0.00009765012,0.00014940518,0.00008341728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013805556,0.000034027842,0.15092286,0.00011489139,0.00006873341,1.7455247e-7,0.0010874429,0.001218144,0.0000012922841,0.8462834,0.000029624232,0.000101371894],"study_design_scores_gemma":[0.006994722,0.00041878127,0.1366964,0.00007340142,0.00003778316,0.000008079948,0.0026649088,0.15190613,0.00007635038,0.67496705,0.025144042,0.0010123532],"about_ca_topic_score_codex":0.00010260493,"about_ca_topic_score_gemma":0.000037803682,"teacher_disagreement_score":0.17131633,"about_ca_system_score_codex":0.000038777143,"about_ca_system_score_gemma":0.00004719035,"threshold_uncertainty_score":0.5175631},"labels":[],"label_agreement":null},{"id":"W2979153413","doi":"10.3982/qe1735","title":"Imposing equilibrium restrictions in the estimation of dynamic discrete games","year":2021,"lang":"en","type":"preprint","venue":"Quantitative Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; McGill University; Rice University; Ohio State University","keywords":"Estimator; Computation; Jacobian matrix and determinant; Convergence (economics); Mathematical optimization; Mathematics; Selection (genetic algorithm); Applied mathematics; Algorithm; Computer science; Statistics; Economics","score_opus":0.1219102559219155,"score_gpt":0.42645773280542904,"score_spread":0.3045474768835135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979153413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545066,0.0002581605,0.040148348,0.001741234,0.0002946806,0.00036924906,0.00016517972,0.00001265439,0.002503918],"genre_scores_gemma":[0.98663443,0.00010271887,0.012908954,0.000051729905,0.000016227646,0.00007295096,0.00009100579,0.0000126092045,0.00010936621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750054,0.0005586277,0.0010329583,0.00054796564,0.00019479572,0.0001651189],"domain_scores_gemma":[0.99432987,0.0036433914,0.00082875957,0.0010083353,0.00015710294,0.00003256968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026157792,0.00017781202,0.00042638092,0.00031991504,0.000086762215,0.000370449,0.0009880791,0.00013152158,0.000048714395],"category_scores_gemma":[0.0015314508,0.00013866814,0.00020236932,0.0004757617,0.00025850808,0.0003041608,0.00038569252,0.0004056733,0.000043039698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004737047,0.00015303453,0.0010225158,0.00003832954,0.00006521167,0.000002523181,0.013225349,0.542837,0.0005763535,0.43107718,0.00019428131,0.010760795],"study_design_scores_gemma":[0.00013434283,0.000041897973,0.021752538,0.000077458884,0.000031323576,0.0000040601244,0.015233816,0.4178458,0.00020959876,0.5443153,0.0001589317,0.00019498494],"about_ca_topic_score_codex":0.00009381819,"about_ca_topic_score_gemma":0.000345646,"teacher_disagreement_score":0.12499125,"about_ca_system_score_codex":0.00008822049,"about_ca_system_score_gemma":0.00023021662,"threshold_uncertainty_score":0.56547225},"labels":[],"label_agreement":null},{"id":"W3003263608","doi":"10.3982/qe834","title":"Worker overconfidence: Field evidence and implications for employee turnover and firm profits","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Georgia Institute of Technology; Alfred P. Sloan Foundation; University of Minnesota; Ewing Marion Kauffman Foundation; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Overconfidence effect; Productivity; Welfare; Turnover; Labour economics; Economics; Sample (material); Demographic economics; Business; Microeconomics; Psychology; Social psychology; Management","score_opus":0.09284076177030567,"score_gpt":0.29346530134758064,"score_spread":0.20062453957727497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003263608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803953,0.00056070177,0.0011357634,0.01643545,0.00009919123,0.0003375676,0.00002346391,0.000040980933,0.0009715757],"genre_scores_gemma":[0.99238193,0.00021608338,0.000832224,0.0061491393,0.00028660786,0.000049139504,0.000009783845,0.000016899734,0.000058167923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993257,0.0000019326023,0.00021333134,0.0002767303,0.000013625561,0.00016867594],"domain_scores_gemma":[0.9994638,0.00025930567,0.00011951148,0.00009175158,0.000041051295,0.00002455778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010535924,0.00012320289,0.00018499754,0.00004705196,0.00012525423,0.00019678584,0.00010297274,0.00004821783,0.00003825714],"category_scores_gemma":[0.00015214008,0.00012766947,0.00003972163,0.000056278415,0.000071447976,0.0012767373,0.000053082418,0.00006057294,0.00003728568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010000205,0.000008930986,0.630861,0.00015199586,0.000041925778,1.8617614e-7,0.0005543356,0.000039893253,0.00014334511,0.3604934,0.005509014,0.0020960234],"study_design_scores_gemma":[0.00057002186,0.0000754261,0.92065954,0.00007271043,0.00007085621,0.0000010390756,0.0006470003,0.0040737703,0.00006583581,0.027531156,0.04584945,0.000383174],"about_ca_topic_score_codex":0.00017116404,"about_ca_topic_score_gemma":0.00030092426,"teacher_disagreement_score":0.33296221,"about_ca_system_score_codex":0.000010273581,"about_ca_system_score_gemma":0.000018032655,"threshold_uncertainty_score":0.520621},"labels":[],"label_agreement":null},{"id":"W3016747549","doi":"10.3982/qe1618","title":"Social distancing and supply disruptions in a pandemic","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social distance; Pandemic; Distancing; Quarter (Canadian coin); Economics; Core (optical fiber); Coronavirus disease 2019 (COVID-19); Business; Demographic economics; Labour economics; Public economics; Computer science; Medicine; Geography","score_opus":0.34199172749247214,"score_gpt":0.46044648531364324,"score_spread":0.1184547578211711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016747549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957809,0.00017800817,0.001088937,0.0020308723,0.00005497802,0.00018502436,0.00009545719,0.00003818212,0.00054767606],"genre_scores_gemma":[0.9961941,0.00010733561,0.0031299498,0.00031940444,0.000023813562,0.00011951793,0.0000068608188,0.000012243763,0.0000867643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990095,0.00018134271,0.00032308712,0.00024675834,0.000035570654,0.00020376501],"domain_scores_gemma":[0.99685246,0.0029025376,0.00013035015,0.000075960415,0.000010971266,0.000027747155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079663907,0.000105041276,0.00031648902,0.00006096799,0.0003650159,0.000013812247,0.00009251443,0.000027163831,0.000085026666],"category_scores_gemma":[0.0010269312,0.000106381594,0.00005419004,0.000094329094,0.000115984556,0.00006934288,0.0002525527,0.00021004565,0.0000054226703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037992224,0.000056334815,0.17878541,0.0000252454,0.000027569555,0.0000026330317,0.004794526,0.00014243412,0.000019015382,0.8149312,0.0007619595,0.0004156656],"study_design_scores_gemma":[0.00051506655,0.00011235462,0.14544882,0.0000059295944,0.00001622583,0.0000027506421,0.008016012,0.0033293185,0.0000014217452,0.835332,0.0070021497,0.00021797836],"about_ca_topic_score_codex":0.000098274555,"about_ca_topic_score_gemma":0.001142146,"teacher_disagreement_score":0.03333661,"about_ca_system_score_codex":0.0003703915,"about_ca_system_score_gemma":0.000027415257,"threshold_uncertainty_score":0.43381155},"labels":[],"label_agreement":null},{"id":"W3022586065","doi":"10.3982/qe1023","title":"Inference in nonparametric/semiparametric moment equality models with shape restrictions","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inference; Moment (physics); Mathematics; Monte Carlo method; Nonparametric statistics; Regular polygon; Applied mathematics; Mathematical optimization; Econometrics; Computer science; Statistics; Geometry; Artificial intelligence","score_opus":0.30908569567086625,"score_gpt":0.288425140463524,"score_spread":0.020660555207342224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022586065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91357756,0.0005236778,0.07025737,0.0011238831,0.00011187752,0.00042379517,0.00019064164,0.000039657225,0.013751526],"genre_scores_gemma":[0.9862306,0.0008341516,0.011984793,0.0006704689,0.00003381915,0.00008239481,0.0000444324,0.000035101526,0.00008424718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784374,0.00003880426,0.00097165816,0.00074931723,0.000034073742,0.00036240031],"domain_scores_gemma":[0.9986412,0.00035041,0.0005248166,0.00028415074,0.000017794073,0.00018164564],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051321316,0.0002521103,0.000576689,0.00045621654,0.00008925539,0.00008896938,0.00027276998,0.00011524991,0.00039452864],"category_scores_gemma":[0.00020064421,0.00030258094,0.00009265833,0.0007801425,0.00011497108,0.0008857823,0.000088665656,0.00026564504,0.0011684636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053600805,0.00012265072,0.2292074,0.000015839927,0.000048857473,0.0000012967123,0.0009694851,0.18090016,0.0000030140877,0.58813316,0.000057985497,0.00048653927],"study_design_scores_gemma":[0.0014857246,0.00057533185,0.16642132,0.000013587777,0.000010955375,0.0000010103654,0.0008032054,0.7780544,0.000038290706,0.050224252,0.00176843,0.0006034932],"about_ca_topic_score_codex":0.0004187333,"about_ca_topic_score_gemma":0.0000894723,"teacher_disagreement_score":0.59715426,"about_ca_system_score_codex":0.00052703434,"about_ca_system_score_gemma":0.00004552976,"threshold_uncertainty_score":0.9999426},"labels":[],"label_agreement":null},{"id":"W3042525782","doi":"10.3982/qe923","title":"Estimating local interactions among many agents who observe their neighbors","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stochastic game; Network formation; Computer science; Best response; Set (abstract data type); Complete information; Inference; Fraction (chemistry); Simple (philosophy); Mathematical economics; Game theory; Process (computing); Artificial intelligence; Mathematics","score_opus":0.26629974362384917,"score_gpt":0.40475384490161137,"score_spread":0.1384541012777622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042525782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72620183,0.000011819802,0.26530144,0.0020672707,0.00022473485,0.00015081312,0.000073749805,0.000041884876,0.0059264293],"genre_scores_gemma":[0.98853123,0.0000042484476,0.009937726,0.0009467902,0.00009487259,0.000027882146,0.000011699777,0.000017757902,0.0004277689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983964,0.00016220803,0.00062861666,0.0004965413,0.00011068255,0.00020558246],"domain_scores_gemma":[0.99711293,0.0018288622,0.00038416835,0.0003558459,0.00012663078,0.00019156851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006832402,0.00016351198,0.000302538,0.000082168095,0.00026055123,0.00025218382,0.00065869745,0.000043360105,0.00082562445],"category_scores_gemma":[0.0010626303,0.0001400634,0.0001484397,0.00033881838,0.00027631427,0.0007206463,0.00016208594,0.00020793782,0.0019585078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007751481,0.00009139819,0.0145895835,0.000008395648,0.000107011525,0.000003562693,0.014430457,0.14225052,0.0001611627,0.79291904,0.008191892,0.02716948],"study_design_scores_gemma":[0.00017057407,0.000066864064,0.018105168,0.000011932159,0.000009605865,0.0000013917703,0.010187909,0.87091583,0.00040406734,0.09021666,0.009727279,0.00018271182],"about_ca_topic_score_codex":0.000020198764,"about_ca_topic_score_gemma":0.00006084591,"teacher_disagreement_score":0.7286653,"about_ca_system_score_codex":0.000050643233,"about_ca_system_score_gemma":0.00004222149,"threshold_uncertainty_score":0.9988186},"labels":[],"label_agreement":null},{"id":"W3111594854","doi":"10.3982/qe944","title":"Specification and estimation of network formation and network interaction models with the exponential probability distribution","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of North Carolina at Chapel Hill; National Institute of Child Health and Human Development; Social Sciences and Humanities Research Council of Canada; Gillings School of Public Health","keywords":"Friendship; Computer science; Interaction network; Exponential random graph models; Interaction model; Network formation; Econometrics; Theoretical computer science; Mathematics; Psychology; Social psychology","score_opus":0.17961362273666767,"score_gpt":0.34191561339381416,"score_spread":0.16230199065714648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111594854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5232535,0.000025311736,0.47458348,0.0017015688,0.000020322506,0.0002193959,0.000018238617,0.000007244695,0.00017092173],"genre_scores_gemma":[0.9905378,0.000029105759,0.00924596,0.00005007484,0.000053105057,0.000025432815,0.000050157607,0.000003859371,0.000004497755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905294,0.00015904671,0.0003873622,0.00022498771,0.00008894543,0.00008668699],"domain_scores_gemma":[0.9984722,0.00077100645,0.0004363273,0.00015987424,0.00011878546,0.000041794214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011092396,0.000076836855,0.00014722993,0.000013974719,0.00018669879,0.00010666048,0.00010969865,0.000029283914,0.000010677075],"category_scores_gemma":[0.00016555518,0.0000526695,0.000021800643,0.0002011665,0.00018462523,0.0008758507,0.000041182553,0.00007259918,0.000008873271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018843451,0.000009906292,0.00025104685,0.0000054959646,0.000007940816,1.2052315e-8,0.0016647999,0.44818905,0.00003095778,0.54105014,0.0003530907,0.008249135],"study_design_scores_gemma":[0.00012415575,0.000091529866,0.004919375,0.0000062127733,0.000012159766,0.0000011717332,0.0013220034,0.6851678,0.00012006497,0.30769312,0.0004901724,0.00005224509],"about_ca_topic_score_codex":0.0000033335282,"about_ca_topic_score_gemma":0.000029151932,"teacher_disagreement_score":0.4672843,"about_ca_system_score_codex":0.000021601558,"about_ca_system_score_gemma":0.000014980519,"threshold_uncertainty_score":0.21477999},"labels":[],"label_agreement":null},{"id":"W3122218979","doi":"10.3982/qe1367","title":"Testing identifying assumptions in fuzzy regression discontinuity designs","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Economic and Social Research Council; Ministry of Science and Technology, Taiwan; Waseda University; Academia Sinica","keywords":"Covariate; Econometrics; Regression discontinuity design; Mathematics; Statistics","score_opus":0.13451118058168646,"score_gpt":0.3035845987069067,"score_spread":0.16907341812522023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122218979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978725,0.00017512232,0.0000098179635,0.00037272193,0.00016575876,0.00017135548,0.00004539691,0.00003438339,0.0011529769],"genre_scores_gemma":[0.9982518,0.00003844958,0.00123607,0.000050948503,0.000047752223,0.00004360795,0.00003758446,8.578947e-7,0.00029294932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989826,0.00015502628,0.00024770363,0.0002990123,0.00007577651,0.00023987931],"domain_scores_gemma":[0.99923384,0.0004923955,0.0001568569,0.00003858903,0.00002622315,0.000052096053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035183475,0.00011275479,0.00015660461,0.000019660714,0.00060863537,0.000059965012,0.00025196865,0.000029669716,0.00017179483],"category_scores_gemma":[0.00011447989,0.000044418965,0.000060478953,0.00034116837,0.00005135706,0.00025564208,0.00019387566,0.00020674267,0.00003259168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007552742,0.00029603014,0.6424225,0.0000097619395,0.000017661072,0.000022458102,0.0018245368,0.006196721,0.25732607,0.02002522,0.0006517222,0.07113181],"study_design_scores_gemma":[0.0001015003,0.00017654359,0.9849722,0.00001885722,0.000004189372,0.000007426017,0.007619209,0.000985778,0.00049279205,0.0043370384,0.0010816297,0.00020283443],"about_ca_topic_score_codex":0.00036942682,"about_ca_topic_score_gemma":0.0015490272,"teacher_disagreement_score":0.34254974,"about_ca_system_score_codex":0.00011590119,"about_ca_system_score_gemma":0.000010568862,"threshold_uncertainty_score":0.46811926},"labels":[],"label_agreement":null},{"id":"W3124117302","doi":"10.3982/qe856","title":"Eliciting risk preferences using choice lists","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Lottery; Pairwise comparison; Incentive; Payment; Actuarial science; Econometrics; Computer science; Economics; Microeconomics; Psychology; Artificial intelligence; Finance","score_opus":0.2975611152905501,"score_gpt":0.45625722434889754,"score_spread":0.1586961090583474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124117302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880307,0.00008985504,0.0011499459,0.00006141393,0.0014738758,0.00022876084,0.00011071448,0.000045339573,0.008809403],"genre_scores_gemma":[0.98512757,0.000048632788,0.014303191,0.00013592235,0.00010661931,0.000003967248,0.0000053033054,0.000028231365,0.00024059202],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971639,0.00022817901,0.0010926959,0.00088465604,0.00025285504,0.00037773207],"domain_scores_gemma":[0.99316674,0.004607278,0.001077836,0.00074220967,0.0002668892,0.00013902392],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002496117,0.00025518343,0.00058010337,0.00035571912,0.00023798752,0.0007060811,0.00095105736,0.00013119832,0.00096660183],"category_scores_gemma":[0.0027355647,0.00021984566,0.00021687086,0.00032526575,0.00012424852,0.0010438542,0.0002331838,0.0002715957,0.0046397736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006808194,0.00008333279,0.36386588,0.0000045886977,0.000046292633,0.0000021504402,0.0010805828,0.024564484,0.00032375267,0.006903269,0.00043049845,0.6026271],"study_design_scores_gemma":[0.00084092544,0.00035368747,0.039635662,0.00006706639,0.000046491674,0.0000110187275,0.0053103757,0.22812983,0.0003873293,0.70409966,0.020255543,0.00086240715],"about_ca_topic_score_codex":0.00045540254,"about_ca_topic_score_gemma":0.00041426552,"teacher_disagreement_score":0.69719636,"about_ca_system_score_codex":0.00014928075,"about_ca_system_score_gemma":0.00014164258,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W3124894030","doi":"10.3982/qe994","title":"A persistence‐based Wold‐type decomposition for stationary time series","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Series (stratigraphy); Scaling; Persistence (discontinuity); Decomposition; Uncorrelated; Representation (politics); Mathematics; Time series; Variance decomposition of forecast errors; Operator (biology); Variance (accounting); Econometrics; Type (biology); Applied mathematics; Stationary process; Statistical physics; Computer science; Statistics; Economics; Physics; Engineering; Ecology; Biology; Accounting","score_opus":0.11252140004871211,"score_gpt":0.2727579902159227,"score_spread":0.16023659016721056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124894030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7591323,0.0035901656,0.17242946,0.027326677,0.0010443408,0.0020422528,0.0056466754,0.00031241134,0.0284757],"genre_scores_gemma":[0.9187846,0.000094742776,0.07633447,0.0018688898,0.0002473275,0.000095628784,0.00077089755,0.000079174075,0.0017242453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987014,0.000016537098,0.000599609,0.00044832917,0.000016788252,0.0002173321],"domain_scores_gemma":[0.9990869,0.0001405515,0.00039619146,0.00016930654,0.00009727536,0.00010976801],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002012938,0.00016968716,0.0004864599,0.00012462425,0.00018244571,0.000104725215,0.00016813625,0.000059139085,0.0011235808],"category_scores_gemma":[0.00010790746,0.00021671888,0.0002327423,0.0002083608,0.000066255656,0.00042266157,0.000028536677,0.00005947057,0.0012056893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006220783,0.00008730414,0.003573618,0.00013378904,0.0004248398,0.0000019853367,0.0017734596,0.012875529,0.00024797718,0.9744343,0.0055592833,0.00026579143],"study_design_scores_gemma":[0.0012905309,0.0015292777,0.0027332667,0.000018343826,0.000047394566,0.0000024128299,0.0014323742,0.7200436,0.00020611439,0.035459526,0.23649195,0.0007451958],"about_ca_topic_score_codex":0.00004156708,"about_ca_topic_score_gemma":0.000021736261,"teacher_disagreement_score":0.9389748,"about_ca_system_score_codex":0.000098132674,"about_ca_system_score_gemma":0.000044108485,"threshold_uncertainty_score":0.99978954},"labels":[],"label_agreement":null},{"id":"W3154912239","doi":"10.3982/qe1570","title":"Recalcitrant betas: Intraday variation in the cross‐sectional dispersion of systematic risk","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Dorrance Family Foundation; National Science Foundation","keywords":"Dispersion (optics); Econometrics; Economics; Panel data; Distribution (mathematics); Earnings; Systematic risk; Limit (mathematics); Mathematics; Physics; Finance","score_opus":0.061864547685878304,"score_gpt":0.26474337069081566,"score_spread":0.20287882300493737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154912239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98521185,0.001898547,0.0019455802,0.00018982647,0.00052273617,0.0002899219,0.00027785313,0.000007059102,0.009656605],"genre_scores_gemma":[0.9969287,0.001271174,0.0014906152,0.00011264999,0.00004065703,0.000033806464,0.000027892795,0.000011473795,0.00008305312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99840486,0.00011948219,0.000980997,0.00030359882,0.000029007071,0.00016206648],"domain_scores_gemma":[0.99858606,0.00041704104,0.00066557736,0.00025933268,0.000050795727,0.000021208529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014697708,0.00012365475,0.00041955235,0.0001280497,0.00010149403,0.00011346946,0.0001883643,0.0000818072,0.00012417648],"category_scores_gemma":[0.00053181144,0.00011272493,0.00013887354,0.00020144288,0.00009694907,0.00035704704,0.000023202121,0.00014718935,0.00007356773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022621154,0.00009347159,0.09213874,0.00050420203,0.000044968307,0.0000014704341,0.0014078601,0.00070567953,0.000020410203,0.90502167,0.000028606524,0.000010302215],"study_design_scores_gemma":[0.0004379477,0.000105620624,0.8071799,0.00014251891,0.000010801789,0.000003600155,0.0007629082,0.006881841,0.000074313604,0.1839583,0.00027464627,0.00016754391],"about_ca_topic_score_codex":0.00025117706,"about_ca_topic_score_gemma":0.00015668858,"teacher_disagreement_score":0.7210634,"about_ca_system_score_codex":0.000100546284,"about_ca_system_score_gemma":0.00004950288,"threshold_uncertainty_score":0.4596789},"labels":[],"label_agreement":null},{"id":"W3156187973","doi":"10.3982/qe1053","title":"From dual to unified employment protection: Transition and steady state","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Employment protection legislation; Dual (grammatical number); Economics; Epitome; Welfare; Wage; Human capital; Matching (statistics); Labour economics; Macroeconomics; Unemployment; Market economy; Computer science","score_opus":0.05836353940781236,"score_gpt":0.2590721607130114,"score_spread":0.20070862130519906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156187973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9615866,0.0002929269,0.030077146,0.0029607622,0.00045802022,0.00027435258,0.001964138,0.000030479445,0.0023555907],"genre_scores_gemma":[0.9927903,0.00026682526,0.0054512327,0.0006747012,0.00008720875,0.00004528482,0.00011861788,0.000030093197,0.00053576427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985603,0.000050606148,0.00057602325,0.0005730255,0.000019836718,0.00022020143],"domain_scores_gemma":[0.9992624,0.00008788773,0.00019478831,0.00026052463,0.000068761794,0.0001256531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044592124,0.00016629664,0.00038145809,0.000103696264,0.000104087565,0.00015716799,0.00007004877,0.000068051384,0.00020302727],"category_scores_gemma":[0.000078774385,0.00021553849,0.000065867396,0.0001511659,0.00004127858,0.000253172,0.00005617535,0.00012359147,0.00018322715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001374177,0.00012980036,0.0017137686,0.000023120772,0.00018712014,0.00001783148,0.006120453,0.0012691711,0.00020102042,0.98801214,0.000060479295,0.0021276546],"study_design_scores_gemma":[0.0014217861,0.000334483,0.027524803,0.000030393108,0.00001583591,0.0000061315086,0.002342076,0.011935474,0.0006876663,0.9311126,0.023840176,0.00074858824],"about_ca_topic_score_codex":0.00095850765,"about_ca_topic_score_gemma":0.00067710323,"teacher_disagreement_score":0.056899574,"about_ca_system_score_codex":0.00014769722,"about_ca_system_score_gemma":0.000039428724,"threshold_uncertainty_score":0.8789404},"labels":[],"label_agreement":null},{"id":"W3161618299","doi":"10.3982/qe1960","title":"Discordant relaxations of misspecified models","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Econometrics; Computer science; Mathematics","score_opus":0.35079981714834135,"score_gpt":0.44430711863382794,"score_spread":0.09350730148548658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161618299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6715849,0.0003334645,0.25883645,0.0016464648,0.0003366816,0.00016836938,0.00019442852,0.000045722623,0.06685351],"genre_scores_gemma":[0.9880796,0.00006179833,0.009024381,0.000033778877,0.000025715935,0.000017303044,0.0000066439707,0.000010288665,0.002740469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887055,0.000076341494,0.00053151586,0.0003125022,0.00010478893,0.00010427634],"domain_scores_gemma":[0.9972631,0.0020611433,0.00014488939,0.00038190148,0.000099294535,0.000049695635],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010796469,0.00008109469,0.00018548625,0.00018713772,0.000072843526,0.00012745499,0.0003630946,0.000023290868,0.0003555554],"category_scores_gemma":[0.00031250346,0.00006459998,0.000113836155,0.0003529533,0.00017535475,0.00045689323,0.00004962336,0.000081059625,0.0009653944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011566885,0.000020902115,0.000017612416,0.0000027229646,0.000017166827,5.578504e-7,0.0010910272,0.0071827173,0.00040642207,0.98703855,0.0011200476,0.0030906755],"study_design_scores_gemma":[0.00004651918,0.00002924139,0.0002713962,0.000009229409,0.0000075574126,0.00000193498,0.0019519363,0.108764656,0.0008891869,0.8746206,0.013334889,0.00007285301],"about_ca_topic_score_codex":0.0000075705657,"about_ca_topic_score_gemma":0.000025847463,"teacher_disagreement_score":0.31649473,"about_ca_system_score_codex":0.00002416429,"about_ca_system_score_gemma":0.000064421634,"threshold_uncertainty_score":0.9998125},"labels":[],"label_agreement":null},{"id":"W3170334471","doi":"10.3982/qe1846","title":"Four decades of Canadian earnings inequality and dynamics across workers and firms","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Bank of Canada; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Earnings; Inequality; Labour economics; Earnings growth; Economics; Distribution (mathematics); Volatility (finance); Demographic economics; Business cycle; Business; Accounting; Financial economics; Macroeconomics","score_opus":0.1149140714250848,"score_gpt":0.40739770475886966,"score_spread":0.29248363333378485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170334471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99371314,0.00021184054,0.000026675218,0.0030865544,0.0002101371,0.00025729902,0.00048720135,0.000013304561,0.0019938604],"genre_scores_gemma":[0.997925,0.00033845546,0.0006356588,0.00031771045,0.000017589633,0.00005381499,0.000028835912,0.000015874739,0.00066709315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891514,0.00020908327,0.00032523245,0.0001999043,0.00003852797,0.000312088],"domain_scores_gemma":[0.9989494,0.00057501125,0.00022648113,0.00009533545,0.000048577233,0.00010519919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079353683,0.00010343902,0.0002544835,0.00014219731,0.0012827695,0.0000075646353,0.00007701848,0.000048921647,0.00007098829],"category_scores_gemma":[0.00013861821,0.00010941328,0.000023444753,0.00013814837,0.00016104436,0.000090878544,0.00023377324,0.0002983617,0.00000440882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003925176,0.000005892453,0.9501366,0.00004974346,0.000054270873,9.3456896e-7,0.021482768,0.000044924458,0.0000012318258,0.026878038,0.0006097187,0.00069660984],"study_design_scores_gemma":[0.00051396905,0.00015833907,0.8674679,0.000023445173,0.000012830847,7.384654e-7,0.10390099,0.0013938985,9.4053195e-7,0.0021186923,0.024250913,0.00015738611],"about_ca_topic_score_codex":0.102276355,"about_ca_topic_score_gemma":0.3487006,"teacher_disagreement_score":0.24642426,"about_ca_system_score_codex":0.0002103334,"about_ca_system_score_gemma":0.0001404251,"threshold_uncertainty_score":0.9866156},"labels":[],"label_agreement":null},{"id":"W3181873679","doi":"10.3982/qe2052","title":"Dynamic ordered panel logit models","year":2025,"lang":"en","type":"preprint","venue":"Quantitative Economics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"European Research Council; Economic and Social Research Council; Princeton University","keywords":"Panel data; Estimator; Autoregressive model; Monte Carlo method; Moment (physics); Econometrics; Logit; Logistic regression; Fixed effects model; Ordered logit; Mathematics; Generalized method of moments; Statistics; Physics","score_opus":0.17438420690019554,"score_gpt":0.29187408776346124,"score_spread":0.1174898808632657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181873679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22036219,0.016734045,0.45484143,0.0038287821,0.0067659887,0.001821165,0.06114348,0.00041319244,0.23408972],"genre_scores_gemma":[0.90806925,0.017287925,0.049407586,0.001530409,0.00018702267,0.00034530225,0.007116245,0.00015674357,0.015899485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646926,0.000046504723,0.0015084646,0.0014513026,0.000029733237,0.00049473933],"domain_scores_gemma":[0.99712294,0.00023514054,0.0011994011,0.0012155371,0.000098744546,0.00012823763],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056651916,0.00057282473,0.001569219,0.00076962105,0.00015596213,0.00028154204,0.0010562429,0.00055541354,0.00067152857],"category_scores_gemma":[0.0001671943,0.00073620956,0.000581675,0.00024868554,0.00015018537,0.00036711837,0.0009105946,0.00068446004,0.0013880269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051487033,0.00011818777,0.0015722933,0.00019813163,0.0009835857,0.000004345613,0.0006817773,0.13582633,8.995964e-7,0.85824025,0.001356077,0.0009666229],"study_design_scores_gemma":[0.00027057418,0.000035421595,0.00061732036,0.000044305554,0.000053789645,5.7820023e-7,0.00014570604,0.49634117,0.0000036196827,0.49443266,0.0074804923,0.00057434535],"about_ca_topic_score_codex":0.0028652945,"about_ca_topic_score_gemma":0.001241782,"teacher_disagreement_score":0.68770707,"about_ca_system_score_codex":0.00039544975,"about_ca_system_score_gemma":0.00017412328,"threshold_uncertainty_score":0.9995089},"labels":[],"label_agreement":null},{"id":"W3182099590","doi":"10.3982/qe1389","title":"Bandits in the lab","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of New South Wales","keywords":"Action (physics); Public good; Microeconomics; Welfare; Free riding; State (computer science); Economics; Computer science; Mathematical economics; Physics; Algorithm; Market economy","score_opus":0.09790510138708997,"score_gpt":0.3895431244983478,"score_spread":0.29163802311125786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182099590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8528655,0.00051027536,0.000006081352,0.003566905,0.00029054913,0.0001044056,0.000012009348,0.000010512481,0.14263374],"genre_scores_gemma":[0.99690247,0.0007386886,0.000913845,0.00070685515,0.000058780915,0.000026679118,0.000006254065,0.0000067805368,0.0006396544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9992555,0.0001803069,0.00016502436,0.00017216768,0.00003647225,0.00019057097],"domain_scores_gemma":[0.9994878,0.00028340743,0.00005406252,0.00011655918,0.000031768464,0.00002639963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050524896,0.00006717439,0.00012735352,0.000029105935,0.0002543914,0.000088399924,0.00018135217,0.00003610868,0.00015107857],"category_scores_gemma":[0.00011355095,0.00006311338,0.00004547663,0.00010877766,0.00021724927,0.00020473285,0.000044676934,0.000084312596,0.0002040889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000510512,0.000059454887,0.018711098,0.0000011450599,0.000009581574,0.00000904776,0.04979663,0.000022397866,0.000058901405,0.9301667,0.00080819207,0.00035173024],"study_design_scores_gemma":[0.0009235122,0.000117799915,0.04531628,0.000020799926,0.00001918818,0.0000037480056,0.64270896,0.00014040023,0.0022024028,0.060190793,0.24780363,0.0005525094],"about_ca_topic_score_codex":0.0008882495,"about_ca_topic_score_gemma":0.02371159,"teacher_disagreement_score":0.8699759,"about_ca_system_score_codex":0.00017207372,"about_ca_system_score_gemma":0.0001290107,"threshold_uncertainty_score":0.99410313},"labels":[],"label_agreement":null},{"id":"W3188482570","doi":"10.3982/qe1947","title":"Estimating large‐dimensional connectedness tables: The great moderation through the lens of sectoral spillovers","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Social connectedness; Econometrics; Estimator; Moderation; Variance decomposition of forecast errors; Spillover effect; Covariance; Great Moderation; Autoregressive model; Economics; Variance (accounting); Computer science; Statistics; Mathematics; Microeconomics; Psychology","score_opus":0.07067997431367311,"score_gpt":0.2619854188434335,"score_spread":0.1913054445297604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188482570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781586,0.0003379239,0.0110286735,0.0017900373,0.001105755,0.0003659627,0.0007848736,0.00005572636,0.00637244],"genre_scores_gemma":[0.99284655,0.00018170978,0.005430129,0.0006078325,0.00013247176,0.000058952533,0.00016635304,0.00006214142,0.00051383453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980371,0.000060864917,0.000903874,0.0005316231,0.000037035665,0.00042949952],"domain_scores_gemma":[0.99792904,0.00061917317,0.0008493223,0.00053452386,0.000029657294,0.0000382719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993926,0.0002518511,0.00049583596,0.00012411547,0.00039543211,0.00008846991,0.00039804363,0.00010571111,0.00038274913],"category_scores_gemma":[0.00024512247,0.0002162423,0.00017749981,0.00024590408,0.00029048842,0.0006781078,0.00016397801,0.0001970899,0.00073682464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018648252,0.000028966428,0.004852465,0.000015063953,0.00012449003,5.916097e-7,0.0016758579,0.23032513,0.00002879595,0.7617766,0.0011174496,0.000035913894],"study_design_scores_gemma":[0.0009135259,0.00011381532,0.012261577,0.000021304524,0.000020587277,0.0000033430774,0.0015260673,0.7991204,0.0002524955,0.17312297,0.01223773,0.00040612696],"about_ca_topic_score_codex":0.00042257927,"about_ca_topic_score_gemma":0.0002821727,"teacher_disagreement_score":0.5886536,"about_ca_system_score_codex":0.00021065307,"about_ca_system_score_gemma":0.00004122669,"threshold_uncertainty_score":0.9470636},"labels":[],"label_agreement":null},{"id":"W3210889755","doi":"10.3982/qe1434","title":"Blurred boundaries: A flexible approach for segmentation applied to the car market","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Market segmentation; Substitution (logic); Subsidy; Segmentation; Product (mathematics); Nested logit; Industrial organization; Business; Microeconomics; Economics; Econometrics; Computer science; Artificial intelligence; Mathematics; Geometry; Market economy","score_opus":0.048423285069360764,"score_gpt":0.27503165908300936,"score_spread":0.22660837401364858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210889755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54412127,0.00032841132,0.23940441,0.003983098,0.002024735,0.0029612975,0.00014437106,0.00022934939,0.20680307],"genre_scores_gemma":[0.92613125,0.000031917123,0.06034506,0.006927364,0.0009354042,0.00097439694,0.00067371107,0.00010926773,0.0038716185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908966,0.000013804095,0.00025824798,0.00034155665,0.000057554687,0.00023919687],"domain_scores_gemma":[0.9992974,0.00017007848,0.0001392832,0.00023423866,0.0001449453,0.000014066139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051869574,0.00015563519,0.00020352362,0.00010217158,0.00049236853,0.00094668806,0.00017782152,0.000038714017,0.00022423596],"category_scores_gemma":[0.00011440673,0.00014259909,0.00008801151,0.0002607318,0.000062062085,0.0003843774,0.00012000024,0.00007481796,0.00008365484],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014295082,0.00034503086,0.013959993,0.00072303106,0.00047178695,0.0000038292233,0.004390647,0.004019852,0.0031534228,0.76920336,0.11793849,0.08436107],"study_design_scores_gemma":[0.0014490497,0.000024221554,0.008756881,0.000018869212,0.0002569249,0.0000021741052,0.014967034,0.036012057,0.00092190795,0.005204172,0.931754,0.0006327313],"about_ca_topic_score_codex":0.00009100315,"about_ca_topic_score_gemma":0.0002258527,"teacher_disagreement_score":0.8138155,"about_ca_system_score_codex":0.000049672763,"about_ca_system_score_gemma":0.00008781997,"threshold_uncertainty_score":0.9128935},"labels":[],"label_agreement":null},{"id":"W3214053959","doi":"10.3982/qe1854","title":"Earnings dynamics of immigrants and natives in Sweden 1985–2016","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Institutet för arbetsmarknads- och utbildningspolitisk politisk utvärdering","keywords":"Earnings; Economics; Earnings growth; Recession; Immigration; Inequality; Volatility (finance); Labour economics; Demographic economics; Redistribution (election); Macroeconomics; Financial economics; Political science","score_opus":0.06727446400029054,"score_gpt":0.3945719998952393,"score_spread":0.32729753589494875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214053959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99012965,0.00036518584,0.00003204497,0.002047874,0.00025317943,0.00033473628,0.00016672825,0.000015646832,0.006654952],"genre_scores_gemma":[0.99678564,0.00050153624,0.00029203878,0.00016690411,0.000016428046,0.00010597498,0.000028367713,0.000017990316,0.002085098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987816,0.0003026289,0.0004268291,0.00020606809,0.000051600768,0.0002312716],"domain_scores_gemma":[0.9987296,0.000794509,0.00030808183,0.00009259877,0.000045217683,0.000030034444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615794,0.000108373104,0.00031063287,0.00017165167,0.00046168105,0.00000277986,0.000109290486,0.00003648822,0.00019461107],"category_scores_gemma":[0.00012808181,0.00011021528,0.000034954544,0.000110241715,0.00011903203,0.00011280661,0.00029162224,0.00031845304,0.000016858918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012082692,0.000046516627,0.8112169,0.00006532253,0.000059746766,0.0000012789477,0.031195916,0.000082996856,0.000027005966,0.15590516,0.0006457952,0.0006325638],"study_design_scores_gemma":[0.0016735669,0.00045267594,0.83510035,0.00008737279,0.000016152739,5.432362e-7,0.13506657,0.0030799895,0.000011634818,0.01556261,0.008678911,0.00026961675],"about_ca_topic_score_codex":0.0013112493,"about_ca_topic_score_gemma":0.0038219895,"teacher_disagreement_score":0.14034255,"about_ca_system_score_codex":0.00019044802,"about_ca_system_score_gemma":0.000086283035,"threshold_uncertainty_score":0.4494449},"labels":[],"label_agreement":null},{"id":"W4206318484","doi":"10.3982/qe51bm","title":"Backmatter of Quantitative Economics Vol. 5 Iss. 1","year":2014,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Paris; Peking University; University of Tokyo; Tel Aviv University; Toulouse School of Economics; Monash University; University College London; University of Oxford; Harvard University; Northwestern University; Singapore Management University; York University; University of Pennsylvania; Princeton University; Massachusetts Institute of Technology; Indian Statistical Institute; Yale University","keywords":"Citation; Computer science; Library science; Information retrieval; Operations research; Mathematics","score_opus":0.05388438893829683,"score_gpt":0.3217706349820629,"score_spread":0.26788624604376604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206318484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8648015,0.00009370188,0.0019415818,0.0037513906,0.0014552359,0.00029136884,0.00006795054,0.00006355801,0.12753367],"genre_scores_gemma":[0.940525,0.0010098706,0.05032625,0.0012359628,0.0003424678,0.00005039036,0.000064315434,0.00008323053,0.00636253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997715,0.00031787087,0.00081171736,0.00054488017,0.000094042356,0.00051649776],"domain_scores_gemma":[0.9971788,0.001362546,0.00067976565,0.00031528552,0.00026305678,0.00020053431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016366831,0.00028136186,0.0006351879,0.00022835974,0.0003579415,0.00009959834,0.00057923916,0.00018904624,0.00079449103],"category_scores_gemma":[0.0005103193,0.00032831356,0.000230733,0.00014794682,0.0010900194,0.0007311185,0.00009758276,0.00017460146,0.0009859735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055793374,0.000066774184,0.008495664,0.000016269087,0.00017447378,3.3317482e-7,0.013038907,0.0005301323,0.0000236287,0.9683277,0.0063599837,0.002910343],"study_design_scores_gemma":[0.0015395102,0.0003840654,0.021116352,0.000060655177,0.000062605366,0.0000012896858,0.027909612,0.0076068784,0.00041321927,0.12386013,0.8158263,0.001219401],"about_ca_topic_score_codex":0.0007545305,"about_ca_topic_score_gemma":0.0017858994,"teacher_disagreement_score":0.8444676,"about_ca_system_score_codex":0.0004486063,"about_ca_system_score_gemma":0.00039722063,"threshold_uncertainty_score":0.9999169},"labels":[],"label_agreement":null},{"id":"W4212816820","doi":"10.3982/qe43bm","title":"Backmatter of Quantitative Economics Vol. 4 Iss. 3","year":2013,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Université de Paris; Peking University; University of Tokyo; Toulouse School of Economics; Monash University; University College London; University of Oxford; Harvard University; Northwestern University; Singapore Management University; York University; University of Pennsylvania; Princeton University; Indian Statistical Institute; Yale University","keywords":"Citation; Library science; Computer science; Information retrieval; Operations research; Mathematics","score_opus":0.056726632414269264,"score_gpt":0.3164671626769441,"score_spread":0.2597405302626748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212816820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90679896,0.00013926049,0.00039420856,0.0049238238,0.0011378351,0.0004975748,0.00006297687,0.000056618657,0.08598874],"genre_scores_gemma":[0.92880774,0.001669156,0.055782165,0.0013592623,0.00027284818,0.00016250773,0.00007063027,0.00009487472,0.011780846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776083,0.00020948244,0.0008526285,0.00052746735,0.000092290225,0.0005572714],"domain_scores_gemma":[0.997482,0.0009648758,0.00065417326,0.00029679082,0.00037891985,0.00022324134],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00082547404,0.00028923538,0.0006014095,0.00023295966,0.00033673833,0.00015248392,0.0005823384,0.00019273568,0.0032052698],"category_scores_gemma":[0.00028353662,0.0003293638,0.00022818772,0.00015877254,0.0011157668,0.0013127995,0.000106070926,0.00017957824,0.0032479947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004067451,0.00011332663,0.0151404645,0.000022071696,0.00032442287,7.191965e-7,0.02266283,0.0003845764,0.00006392922,0.9318744,0.02576677,0.003605837],"study_design_scores_gemma":[0.0024182627,0.0005304717,0.08289812,0.00010248913,0.000092259055,0.0000026341538,0.11589898,0.0074132103,0.0007636301,0.23349099,0.5540769,0.002312039],"about_ca_topic_score_codex":0.0027332797,"about_ca_topic_score_gemma":0.0014463908,"teacher_disagreement_score":0.6983834,"about_ca_system_score_codex":0.0005298908,"about_ca_system_score_gemma":0.0004940816,"threshold_uncertainty_score":0.99991584},"labels":[],"label_agreement":null},{"id":"W4233806041","doi":"10.3982/qe42fm","title":"Frontmatter of Quantitative Economics Vol. 4 Iss. 2","year":2013,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; University of California, Los Angeles; University of Bristol; Universitat Pompeu Fabra; University of Toronto; University College London; London School of Economics and Political Science; Institució Catalana de Recerca i Estudis Avançats; University of Wisconsin-Madison; University of Miami; York University; University of Pennsylvania; Massachusetts Institute of Technology; University of Southern California; Universiteit van Tilburg; Yale University","keywords":"Citation; Library science; Computer science; Information retrieval","score_opus":0.0516304876472408,"score_gpt":0.31083395586606133,"score_spread":0.2592034682188205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233806041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85311127,0.00015938352,0.0005263012,0.0043441914,0.0011594112,0.00048176126,0.00006485954,0.00005596553,0.14009684],"genre_scores_gemma":[0.88739604,0.0008614585,0.069895275,0.0014451348,0.00031946943,0.00020050605,0.00008443249,0.00010480888,0.039692897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779004,0.00020620995,0.0008407921,0.0005231907,0.000091416965,0.0005483357],"domain_scores_gemma":[0.99761355,0.0008672755,0.0006586583,0.0002929962,0.00034990194,0.00021760489],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00078275474,0.00028663987,0.0006125476,0.00022691149,0.0003379883,0.00014621773,0.000576541,0.00019289136,0.006527992],"category_scores_gemma":[0.00027786827,0.00032579963,0.00022595566,0.00013295957,0.001053429,0.0013001367,0.000101935475,0.0001776588,0.005741078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005052071,0.00013108258,0.017840654,0.000022186052,0.0003965841,8.3859743e-7,0.028339544,0.00043194645,0.000058463094,0.8575212,0.09090066,0.0043063518],"study_design_scores_gemma":[0.0020804105,0.00045090035,0.07072667,0.00007824629,0.000081535574,0.0000018485763,0.10095635,0.006733412,0.0005080344,0.1671203,0.6493687,0.0018935994],"about_ca_topic_score_codex":0.0036969674,"about_ca_topic_score_gemma":0.0019144118,"teacher_disagreement_score":0.6904009,"about_ca_system_score_codex":0.0005639851,"about_ca_system_score_gemma":0.0004778931,"threshold_uncertainty_score":0.9999194},"labels":[],"label_agreement":null},{"id":"W4236335537","doi":"10.3982/qe42bm","title":"Backmatter of Quantitative Economics Vol. 4 Iss. 2","year":2013,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Université de Paris; Peking University; University of Tokyo; Toulouse School of Economics; Monash University; University College London; University of Oxford; Harvard University; Northwestern University; Singapore Management University; York University; University of Pennsylvania; Princeton University; Indian Statistical Institute; Yale University","keywords":"Citation; Computer science; Library science; Information retrieval; Operations research; Mathematics","score_opus":0.06499807560760125,"score_gpt":0.24702435281033275,"score_spread":0.1820262772027315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236335537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625959,0.0009954716,0.0070875008,0.001106153,0.0009004511,0.00046148122,0.0016510682,0.000040545165,0.02516144],"genre_scores_gemma":[0.9590999,0.0015504872,0.035597414,0.0010469939,0.00015755552,0.000109095985,0.00036699913,0.000100001336,0.0019715584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971891,0.00004179287,0.0015483451,0.00074076885,0.000024145596,0.00045583583],"domain_scores_gemma":[0.9974373,0.0003598378,0.0011837382,0.0006504294,0.00020519661,0.00016352681],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005008341,0.0003525963,0.0010962057,0.00048462252,0.00011408573,0.00014158733,0.0005447382,0.00016637272,0.0063960757],"category_scores_gemma":[0.00028376904,0.00041252427,0.00036589833,0.0002558336,0.00028707026,0.0011594197,0.00013710509,0.00019142873,0.01132716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005288978,0.00017390837,0.041904796,0.000060692044,0.00064869114,9.273376e-7,0.0013643011,0.0016956977,0.0001069033,0.9446199,0.008593704,0.00077760516],"study_design_scores_gemma":[0.002776623,0.0012116468,0.110408515,0.00007213834,0.0001366149,0.00000716098,0.0049735066,0.20139362,0.0018346428,0.5603971,0.114108935,0.0026795228],"about_ca_topic_score_codex":0.0032081127,"about_ca_topic_score_gemma":0.0003566203,"teacher_disagreement_score":0.3842228,"about_ca_system_score_codex":0.00013332172,"about_ca_system_score_gemma":0.00004398518,"threshold_uncertainty_score":0.9998327},"labels":[],"label_agreement":null},{"id":"W4241176019","doi":"10.3982/qe112fm","title":"Frontmatter of Quantitative Economics Vol. 11 Iss. 2","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; University of California, Los Angeles; University of California, Irvine; University of California, Santa Barbara; Universitetet i Oslo; University of Oxford; University of Toronto; University College London; University of Rochester; Emory University; London School of Economics and Political Science; Georgetown University; Johns Hopkins University; Yale University; Rice University; University of Pennsylvania; Princeton University; City University of New York; University of Central Florida","keywords":"Citation; Computer science; Library science; Information retrieval; Operations research; Mathematics","score_opus":0.09625764662224198,"score_gpt":0.2568979563162056,"score_spread":0.16064030969396362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241176019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9420338,0.001410948,0.023504658,0.0043358644,0.00085466437,0.00038850264,0.004828962,0.00006394266,0.022578632],"genre_scores_gemma":[0.96065736,0.00069816865,0.033157006,0.0032573424,0.00028098817,0.000038166498,0.0004854904,0.00011027687,0.0013152114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971875,0.000043321095,0.0015073105,0.00083777076,0.000025744484,0.00039836086],"domain_scores_gemma":[0.99771166,0.00027804865,0.0011914823,0.00046656124,0.0001251136,0.00022713882],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042137806,0.00035415942,0.0012299106,0.00027788433,0.000104993676,0.00009078938,0.0005773293,0.00015426813,0.004575213],"category_scores_gemma":[0.000448789,0.0004327098,0.0003996374,0.00027353945,0.00023836376,0.0007226236,0.0001538137,0.00019195685,0.006492749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019846215,0.00013810692,0.06700676,0.00009836345,0.0007001568,0.0000033271547,0.0039988663,0.004422461,0.00009267122,0.90210295,0.02093137,0.00030651758],"study_design_scores_gemma":[0.0036951238,0.0017532231,0.028259752,0.000055086748,0.00021454293,0.0000041249227,0.0062224697,0.36815488,0.002449339,0.10212004,0.48436913,0.0027022858],"about_ca_topic_score_codex":0.0011250626,"about_ca_topic_score_gemma":0.00048821757,"teacher_disagreement_score":0.7999829,"about_ca_system_score_codex":0.000103325954,"about_ca_system_score_gemma":0.00005351852,"threshold_uncertainty_score":0.9998125},"labels":[],"label_agreement":null},{"id":"W4243537860","doi":"10.3982/qe1491","title":"Saddle cycles: Solving rational expectations models featuring limit cycles (or chaos) using perturbation methods","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Limit cycle; Perturbation (astronomy); Saddle; Nonlinear system; Business cycle; Limit (mathematics); Applied mathematics; Convergence (economics); Computer science; Statistical physics; Mathematics; Control theory (sociology); Mathematical optimization; Economics; Physics; Mathematical analysis; Keynesian economics; Macroeconomics","score_opus":0.33767277620808267,"score_gpt":0.35906501595855933,"score_spread":0.02139223975047666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243537860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7522153,0.002798695,0.23384304,0.00074190466,0.0007681744,0.0002442337,0.0004330001,0.00006540866,0.008890235],"genre_scores_gemma":[0.69476765,0.00064364914,0.301959,0.00041813622,0.0002910853,0.000036005054,0.00017994121,0.00007234687,0.0016321738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975626,0.00009654133,0.001060723,0.00075210916,0.000026209402,0.00050181313],"domain_scores_gemma":[0.99811256,0.00061756547,0.0006366661,0.00041057722,0.000065089065,0.00015752019],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006279268,0.00031941268,0.00066601066,0.0003514449,0.00044814483,0.0003000612,0.00022628396,0.00017048436,0.00076936523],"category_scores_gemma":[0.00048759335,0.00039644015,0.00023321566,0.00021692362,0.000097475546,0.0017914197,0.00009804319,0.00022752366,0.00032402982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006701425,0.00011147285,0.0017854215,0.00004027232,0.00025973623,0.000005437205,0.0072740936,0.42968482,0.00023057667,0.5596163,0.0002187014,0.0007061216],"study_design_scores_gemma":[0.00054683123,0.000050705334,0.0017208449,0.00002670949,0.000020354071,0.000026779717,0.0033940703,0.8613706,0.001043911,0.13038881,0.00090370333,0.00050666777],"about_ca_topic_score_codex":0.00017861741,"about_ca_topic_score_gemma":0.00014708911,"teacher_disagreement_score":0.4316858,"about_ca_system_score_codex":0.00044131023,"about_ca_system_score_gemma":0.00014736458,"threshold_uncertainty_score":0.9998487},"labels":[],"label_agreement":null},{"id":"W4250241339","doi":"10.3982/qe1215","title":"Bullying among adolescents: The role of skills","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Grand Challenges Canada","keywords":"Unobservable; Psychology; Developmental psychology; Test (biology); Cognitive skill; Cognition; Educational attainment; Mental health; Human factors and ergonomics; Suicide prevention; Injury prevention; Poison control; Occupational safety and health; Clinical psychology; Medicine; Psychiatry; Environmental health","score_opus":0.017386544317334066,"score_gpt":0.28818798864630224,"score_spread":0.2708014443289682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250241339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98177177,0.0011970944,0.0011530026,0.00011254549,0.00069654436,0.0001283282,0.000028438411,0.000021832006,0.014890439],"genre_scores_gemma":[0.99771,0.00022218938,0.00091521716,0.00019090243,0.000069326205,0.0000125011,0.000021830665,0.000022416565,0.00083564135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990971,0.00014684942,0.0002994956,0.00024171545,0.00004041917,0.00017438355],"domain_scores_gemma":[0.9991018,0.00016615975,0.00028058817,0.00029717895,0.00011534683,0.000038931594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018973844,0.000108503154,0.00018316458,0.000044803954,0.00012920832,0.00002694312,0.0001609483,0.00007659269,0.0008490253],"category_scores_gemma":[0.00008363287,0.00009015879,0.00008314856,0.00011051848,0.00013335254,0.00010385942,0.00005138808,0.00012499183,0.00014771071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000666703,0.00042636017,0.71414953,0.000028536255,0.00020161319,0.000007667859,0.01555608,0.0009566127,0.00095755677,0.26010776,0.0013491791,0.006192428],"study_design_scores_gemma":[0.00246482,0.00022901226,0.83343387,0.00071998173,0.00014139245,0.000028685517,0.07140551,0.007228382,0.016181208,0.02362863,0.04372842,0.0008100843],"about_ca_topic_score_codex":0.00007654812,"about_ca_topic_score_gemma":0.00009046457,"teacher_disagreement_score":0.23647912,"about_ca_system_score_codex":0.00002465322,"about_ca_system_score_gemma":0.00004419589,"threshold_uncertainty_score":0.9296232},"labels":[],"label_agreement":null},{"id":"W4252202848","doi":"10.3982/qe666","title":"Identification of games of incomplete information with multiple equilibria and unobserved heterogeneity","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Ciencia e Innovación; University of Pennsylvania","keywords":"Nonparametric statistics; Identification (biology); Stochastic game; Function (biology); Matching (statistics); Independence (probability theory); Complete information; Parameter identification problem; Mathematics; Econometrics; Computer science; Mathematical optimization; Mathematical economics; Applied mathematics; Statistics","score_opus":0.028949382341142027,"score_gpt":0.23973739342480757,"score_spread":0.21078801108366554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252202848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986284,0.000025278645,0.0005440997,0.000034727098,0.0000821,0.00021408046,0.000020198691,0.000011120744,0.00044004025],"genre_scores_gemma":[0.99952745,0.000009757731,0.00036340675,0.000031472555,0.000008953661,0.0000039652627,0.000041527495,0.000006575015,0.0000069059092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942875,0.000008431414,0.00034828967,0.000100112666,0.00004030815,0.00007413032],"domain_scores_gemma":[0.9991227,0.00009293817,0.00051828544,0.0001364522,0.00012469756,0.000004933387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587924,0.00007860961,0.0001792603,0.0001363082,0.000023718454,0.000057473502,0.00007823805,0.000023277848,0.00002887736],"category_scores_gemma":[0.000044386008,0.000075444645,0.000028487042,0.00009508961,0.000054267504,0.0012818445,0.00006346756,0.00003144032,0.000023924518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016268129,0.000014369226,0.97126925,0.00027754295,0.00003255081,4.2543498e-8,0.00015206364,0.00017652453,0.011320472,0.013437005,0.0000065670324,0.0031509388],"study_design_scores_gemma":[0.0007546919,0.000030882624,0.9277552,0.00003652721,0.000042347485,3.5331243e-7,0.0005608406,0.06677992,0.0028759954,0.00043664945,0.00059129955,0.0001353319],"about_ca_topic_score_codex":0.0003796208,"about_ca_topic_score_gemma":0.00029182728,"teacher_disagreement_score":0.06660339,"about_ca_system_score_codex":0.000007974969,"about_ca_system_score_gemma":0.000011292042,"threshold_uncertainty_score":0.30765432},"labels":[],"label_agreement":null},{"id":"W4253496674","doi":"10.3982/qe52bm","title":"Backmatter of Quantitative Economics Vol. 5 Iss. 2","year":2014,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Paris; Peking University; University of Tokyo; Tel Aviv University; Toulouse School of Economics; Monash University; University College London; University of Oxford; Harvard University; Northwestern University; Singapore Management University; York University; University of Pennsylvania; Massachusetts Institute of Technology; Indian Statistical Institute; Yale University","keywords":"Citation; Computer science; Library science; Information retrieval","score_opus":0.051928507409909244,"score_gpt":0.3210925211984123,"score_spread":0.2691640137885031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253496674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8626797,0.00009494568,0.0019023945,0.0037303742,0.0014613577,0.0002906151,0.000066528555,0.00006348096,0.12971056],"genre_scores_gemma":[0.9410017,0.0010414383,0.049733993,0.0012453136,0.00034961032,0.000049897222,0.000065044864,0.000083751154,0.0064292117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977153,0.0003177754,0.00081204507,0.0005445164,0.000094021576,0.000516329],"domain_scores_gemma":[0.99719626,0.001345335,0.0006806216,0.00031474646,0.00026253553,0.00020050965],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016286987,0.00028128183,0.00063532696,0.000228226,0.00035796495,0.00009979172,0.00057895086,0.00018904723,0.00078109314],"category_scores_gemma":[0.0005048071,0.00032821757,0.00023069307,0.00014784392,0.001090006,0.0007315664,0.000097570475,0.0001745655,0.0009765651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055314427,0.00006650572,0.008224995,0.000016339789,0.00017382453,3.4004898e-7,0.013000047,0.000530425,0.000022809902,0.9686956,0.0062420955,0.002971732],"study_design_scores_gemma":[0.001517877,0.00037642082,0.020396322,0.000058782334,0.00006115121,0.0000012663343,0.0271019,0.007409829,0.00040267938,0.12219936,0.8192817,0.0011927059],"about_ca_topic_score_codex":0.0007613253,"about_ca_topic_score_gemma":0.0017953371,"teacher_disagreement_score":0.8464962,"about_ca_system_score_codex":0.00044872123,"about_ca_system_score_gemma":0.00039563913,"threshold_uncertainty_score":0.999917},"labels":[],"label_agreement":null},{"id":"W4285118384","doi":"10.3982/qe132fm","title":"Frontmatter of Quantitative Economics Vol. 13 Iss. 2","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Rheinische Friedrich-Wilhelms-Universität Bonn; University of Oxford; University of Rochester; Northwestern University; York University; University of California, Irvine; Georgetown University; University of Central Florida; Princeton University; Johns Hopkins University; University of California, Santa Barbara; University of Wisconsin-Madison; London School of Economics and Political Science; University of Chicago; Euskal Herriko Unibertsitatea; California Institute of Technology; Washington University in St. Louis; Massachusetts Institute of Technology; University College London; Emory University; Yale University; Rice University; University of Pennsylvania","keywords":"Citation; Computer science; Library science; Information retrieval","score_opus":0.07086571720446065,"score_gpt":0.24514586782916198,"score_spread":0.1742801506247013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285118384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6127436,0.0020249311,0.00090991193,0.0006468,0.0070819263,0.0005134723,0.0069450433,0.00005861436,0.3690757],"genre_scores_gemma":[0.677869,0.00077752804,0.019615216,0.001747804,0.00021964335,0.00033638184,0.0002624256,0.00019271458,0.29897925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967984,0.000058458187,0.0015288958,0.0010177057,0.000036081514,0.0005604626],"domain_scores_gemma":[0.99745464,0.00028883253,0.0014146819,0.00061811507,0.000097170545,0.00012653795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013526278,0.00035976194,0.0011383168,0.0007388036,0.00047832445,0.00009292962,0.0007346441,0.000078527766,0.03875546],"category_scores_gemma":[0.00018953395,0.00048663974,0.00039555432,0.0002965691,0.0004389643,0.0006306796,0.0005766468,0.00028236952,0.01450646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013839995,0.000194821,0.0077332384,0.0000285639,0.00045060294,0.0000020148475,0.004007339,0.010651197,0.000011954682,0.7966447,0.18000938,0.00012780669],"study_design_scores_gemma":[0.0018724037,0.0006336744,0.0034239502,0.000010319255,0.000037448048,0.0000058329606,0.01900392,0.02847458,0.00012451402,0.06863845,0.87671125,0.0010636682],"about_ca_topic_score_codex":0.00041404492,"about_ca_topic_score_gemma":0.000082558894,"teacher_disagreement_score":0.72800624,"about_ca_system_score_codex":0.000484908,"about_ca_system_score_gemma":0.000080919235,"threshold_uncertainty_score":0.99975854},"labels":[],"label_agreement":null},{"id":"W4285286536","doi":"10.3982/qe1781","title":"Secret reserve prices by uninformed sellers","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Common value auction; Identification (biology); Microeconomics; Economics; English auction; Reverse auction; Vickrey auction; Reservation price; Economic surplus; Auction theory","score_opus":0.15374134464926204,"score_gpt":0.39656873619806926,"score_spread":0.24282739154880723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285286536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417144,0.00010596057,0.009415046,0.002934416,0.00038081058,0.00025443643,0.0005072697,0.000052745796,0.044634923],"genre_scores_gemma":[0.979977,0.000042014,0.0028470745,0.0008885073,0.000033892327,0.00014630462,0.00009442307,0.00001718653,0.015953606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860203,0.00017429741,0.00048003267,0.00035726256,0.00021184575,0.00017454712],"domain_scores_gemma":[0.9975564,0.0014779359,0.00039634778,0.00039822725,0.00008759533,0.000083523235],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022326775,0.000098131524,0.00017784181,0.00015360727,0.0007240706,0.00012579847,0.00076174707,0.000025780422,0.004301396],"category_scores_gemma":[0.00043594468,0.00009345772,0.00008465171,0.000487794,0.00015536942,0.0004432582,0.0002233445,0.00016878436,0.0008361121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072756906,0.00004829096,0.0008683816,9.574726e-7,0.000028477509,3.8347076e-7,0.0022496863,0.009123846,0.00011533213,0.87180346,0.11405827,0.0016301677],"study_design_scores_gemma":[0.00020881258,0.00011347652,0.00028758094,4.842102e-7,0.0000037847221,0.0000029039445,0.025787635,0.009115712,0.0003510354,0.21416306,0.7498207,0.0001447966],"about_ca_topic_score_codex":0.00002185385,"about_ca_topic_score_gemma":0.000024214267,"teacher_disagreement_score":0.6576404,"about_ca_system_score_codex":0.000099084806,"about_ca_system_score_gemma":0.00008898434,"threshold_uncertainty_score":0.9999418},"labels":[],"label_agreement":null},{"id":"W4312651175","doi":"10.3982/qe1849","title":"Earnings dynamics and its intergenerational transmission: Evidence from Norway","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Horizon 2020 Framework Programme; Norges Forskningsråd; European Commission","keywords":"Earnings; Economics; Demographic economics; Inequality; Distribution (mathematics); Downside risk; Income distribution; Labour economics; Economic inequality; Financial economics","score_opus":0.10502310294502429,"score_gpt":0.36071364013691853,"score_spread":0.2556905371918943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312651175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725325,0.0013099248,0.0018619457,0.02076398,0.0007792675,0.00011527788,0.00017730685,0.000015403995,0.0024443862],"genre_scores_gemma":[0.9884175,0.00064952666,0.0028196124,0.0005596586,0.0002686346,0.000071700575,0.00008840621,0.000008069858,0.007116907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990421,0.00023519297,0.00021992723,0.00023558512,0.00013123742,0.00013597985],"domain_scores_gemma":[0.999069,0.0006006712,0.0000964722,0.00004480201,0.00012179639,0.00006728479],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005168089,0.0000839325,0.00011843318,0.000049770697,0.001379765,0.00005663857,0.00014201383,0.000024046834,0.0027047922],"category_scores_gemma":[0.00021598452,0.00009428324,0.000044635908,0.00007814631,0.00009774002,0.000323094,0.00007125071,0.00012313711,0.000049618524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004380541,0.00003896258,0.0035891773,0.0000032350497,0.000050566927,4.588053e-7,0.03615748,0.0023346043,0.00016857889,0.9540465,0.003048742,0.00051787955],"study_design_scores_gemma":[0.0007230634,0.000639703,0.05175998,0.00008121773,0.00008444248,0.0000045168545,0.1586491,0.30167025,0.0007177502,0.08964805,0.39463964,0.0013822761],"about_ca_topic_score_codex":0.0008829617,"about_ca_topic_score_gemma":0.0023363363,"teacher_disagreement_score":0.8643985,"about_ca_system_score_codex":0.0002805309,"about_ca_system_score_gemma":0.00023441103,"threshold_uncertainty_score":0.9999203},"labels":[],"label_agreement":null},{"id":"W4317434492","doi":"10.3982/qe1797","title":"Borrowing into debt crises","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Western University","funders":"","keywords":"Volatility (finance); Debt; Monetary economics; Economics; Recession; Bond; Sovereign default; Government bond; Government debt; Shock (circulatory); Interest rate; Sovereign debt; Sovereignty; Macroeconomics; Econometrics; Finance","score_opus":0.07920104438239013,"score_gpt":0.2978302996053436,"score_spread":0.21862925522295346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317434492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93369025,0.0012519154,0.00065126905,0.0015874491,0.0010542438,0.00013412963,0.00022317936,0.00015432175,0.061253257],"genre_scores_gemma":[0.99451023,0.0012092821,0.0020559977,0.00076673937,0.00015271395,0.000029085328,0.000046667687,0.000042547086,0.0011867498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985768,0.000013689801,0.0005901886,0.00039795582,0.000016626473,0.00040474132],"domain_scores_gemma":[0.999239,0.00013096373,0.00023557384,0.00027113443,0.00003211605,0.00009117726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046374055,0.00018252741,0.00043045645,0.00032129217,0.00021479507,0.00011624766,0.00026364316,0.00009187206,0.00017202664],"category_scores_gemma":[0.00026572763,0.00022843655,0.0001694446,0.00039753134,0.000090356465,0.0003747914,0.00009781468,0.0001081406,0.010732792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009171863,0.00001593752,0.011956157,0.000014535414,0.000031005806,0.0000024025092,0.001722995,0.0003973782,0.000018380995,0.9732875,0.012153797,0.0003906874],"study_design_scores_gemma":[0.00031636804,0.000119673045,0.029332913,0.000012286016,0.0000054391826,0.0000013609845,0.0014717304,0.0033086147,0.0002278893,0.5259525,0.4387927,0.00045849665],"about_ca_topic_score_codex":0.0007363711,"about_ca_topic_score_gemma":0.0001560739,"teacher_disagreement_score":0.44733503,"about_ca_system_score_codex":0.00010746935,"about_ca_system_score_gemma":0.000025237245,"threshold_uncertainty_score":0.99003744},"labels":[],"label_agreement":null},{"id":"W4317436901","doi":"10.3982/qe141bm","title":"Backmatter of Quantitative Economics Vol. 14 Iss. 1","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Università Bocconi; Pontificia Universidad Católica de Chile; Curtin University of Technology; University College London; London School of Economics and Political Science; Harvard Kennedy School; University of Oxford; Northwestern University; Massachusetts Institute of Technology; University of New South Wales; York University; University of Pennsylvania; Rheinische Friedrich-Wilhelms-Universität Bonn; Cowles Foundation for Research in Economics; Princeton University; Université de Genève; Concordia University; Yale University","keywords":"Citation; Library science; Computer science; Operations research; Information retrieval; Engineering","score_opus":0.09214384175663781,"score_gpt":0.35147697351316737,"score_spread":0.25933313175652956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317436901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294959,0.000097311626,0.00021340304,0.005362599,0.0020223684,0.0003518452,0.00016990435,0.00015172147,0.062134985],"genre_scores_gemma":[0.9224729,0.005827331,0.030889943,0.001459864,0.00052892376,0.00016432107,0.0003224684,0.00019636827,0.038137868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997621,0.00022327223,0.0008337272,0.00058008754,0.00011220909,0.0006297169],"domain_scores_gemma":[0.99726415,0.0013491847,0.00058875285,0.00030015773,0.00030163716,0.00019613875],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015846473,0.00028534126,0.0006158758,0.00040182393,0.00041260812,0.000104486746,0.000595647,0.0002011108,0.00081899774],"category_scores_gemma":[0.00048940314,0.00033992552,0.000253985,0.00039667354,0.0010284807,0.0007718957,0.00014179893,0.00018534527,0.0033059192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081793005,0.000069341804,0.011790425,0.00002867982,0.0003438805,0.0000031760928,0.029695231,0.001364127,0.00003915963,0.91007507,0.04425682,0.0022523105],"study_design_scores_gemma":[0.001724763,0.00031479492,0.04069879,0.00008004578,0.00006950913,0.0000015039251,0.081636526,0.0073268814,0.000409286,0.113910906,0.7523377,0.0014892882],"about_ca_topic_score_codex":0.0006410441,"about_ca_topic_score_gemma":0.0016797424,"teacher_disagreement_score":0.79616416,"about_ca_system_score_codex":0.00050496677,"about_ca_system_score_gemma":0.0005828988,"threshold_uncertainty_score":0.9999053},"labels":[],"label_agreement":null},{"id":"W4320006265","doi":"10.3982/qe1861","title":"Random utility and limited consideration","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; California Institute of Technology","keywords":"Contrast (vision); Set (abstract data type); Choice set; Econometrics; Population; Preference; Mixed logit; Computer science; Revealed preference; Logit; Frame (networking); Mathematical economics; Logistic regression; Economics; Mathematics; Statistics; Artificial intelligence; Machine learning","score_opus":0.2335246844077759,"score_gpt":0.26587837620149835,"score_spread":0.03235369179372244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320006265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98467356,0.00037057584,0.0020456861,0.0008686789,0.00029915787,0.00023229003,0.00014619595,0.00007262569,0.011291251],"genre_scores_gemma":[0.9963886,0.0011166917,0.0014317654,0.00026713955,0.00003436816,0.000030166157,0.000111448906,0.000020999601,0.00059879385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988557,0.000023798257,0.00051213644,0.00040034796,0.000010057896,0.00019797526],"domain_scores_gemma":[0.99928886,0.00022582583,0.00023334673,0.00017742463,0.000008473232,0.00006607108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007824294,0.00012993398,0.00031157013,0.00017391103,0.00014261347,0.0000738146,0.00006574779,0.00007600375,0.00041422545],"category_scores_gemma":[0.00015805116,0.00016893423,0.00006181184,0.00009369684,0.00012837755,0.00038237957,0.00005271378,0.000077455355,0.0032144454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004837294,0.000031772364,0.31085062,0.000016477632,0.00007707987,0.0000010968565,0.0009982088,0.00095569744,0.000029549341,0.6841563,0.0018083946,0.001026401],"study_design_scores_gemma":[0.0017893894,0.000090183494,0.6708102,0.000005553741,0.000007616716,0.0000028007082,0.0007133987,0.15153527,0.000106175445,0.16409874,0.010510269,0.00033036232],"about_ca_topic_score_codex":0.000056155455,"about_ca_topic_score_gemma":0.000037833037,"teacher_disagreement_score":0.52005756,"about_ca_system_score_codex":0.00007357687,"about_ca_system_score_gemma":0.000010034101,"threshold_uncertainty_score":0.9975617},"labels":[],"label_agreement":null},{"id":"W4376470774","doi":"10.3982/qe142bm","title":"Backmatter of Quantitative Economics Vol. 14 Iss. 2","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Università Bocconi; Pontificia Universidad Católica de Chile; Curtin University of Technology; University College London; London School of Economics and Political Science; Harvard Kennedy School; University of Oxford; Northwestern University; Massachusetts Institute of Technology; University of New South Wales; York University; University of Pennsylvania; Rheinische Friedrich-Wilhelms-Universität Bonn; Cowles Foundation for Research in Economics; Princeton University; Université de Genève; Concordia University; Yale University","keywords":"Citation; Library science; Computer science; Operations research; Information retrieval; Engineering","score_opus":0.08893615109831346,"score_gpt":0.35076889838644804,"score_spread":0.26183274728813455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376470774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92834413,0.000098672775,0.00020924445,0.005336455,0.0020323195,0.00035118798,0.00016647224,0.00015164654,0.0633099],"genre_scores_gemma":[0.9220198,0.0060263174,0.030602416,0.0014751006,0.00054148666,0.00016317969,0.00032705374,0.00019816,0.038646497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762136,0.00022320538,0.0008340639,0.0005797011,0.00011218439,0.0006295118],"domain_scores_gemma":[0.99728155,0.0013321657,0.00058949605,0.00029964632,0.00030104138,0.00019611548],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015769243,0.0002852602,0.0006160105,0.00040158888,0.00041263513,0.00010468941,0.0005953508,0.00020111183,0.00080520124],"category_scores_gemma":[0.00048412225,0.00033982625,0.0002539411,0.000396398,0.001028468,0.0007723681,0.0001417811,0.00018530713,0.0032744783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008087045,0.000068874964,0.011383964,0.000028725768,0.00034166782,0.0000032327134,0.029526027,0.0013611552,0.000037700935,0.9115426,0.043331604,0.0022935562],"study_design_scores_gemma":[0.0017016624,0.000308737,0.039340116,0.0000776274,0.0000679406,0.0000014776866,0.07933568,0.007141924,0.00039911753,0.11246778,0.75770026,0.0014576693],"about_ca_topic_score_codex":0.00064681156,"about_ca_topic_score_gemma":0.0016886108,"teacher_disagreement_score":0.7990748,"about_ca_system_score_codex":0.000505096,"about_ca_system_score_gemma":0.0005805809,"threshold_uncertainty_score":0.99990535},"labels":[],"label_agreement":null},{"id":"W4376470786","doi":"10.3982/qe1593","title":"Estimating demand for differentiated products with zeroes in market share data","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Estimator; Upper and lower bounds; Product (mathematics); Econometrics; Product differentiation; Monte Carlo method; Fraction (chemistry); Moment (physics); Mathematics; Economics; Mathematical optimization; Computer science; Mathematical economics; Statistics","score_opus":0.09921781162265657,"score_gpt":0.2996872272229282,"score_spread":0.2004694156002716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376470786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996307,0.000037614274,0.0008492886,0.0005070559,0.00031092175,0.0005528798,0.00010914835,0.00012420601,0.0012018858],"genre_scores_gemma":[0.9916967,0.0000124630415,0.0063384566,0.00011723268,0.00019696825,0.00007411979,0.0012230654,0.000052741816,0.00028826427],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988882,0.000012795603,0.0002769584,0.00048042287,0.000047803594,0.00029384962],"domain_scores_gemma":[0.9990773,0.00027302644,0.00018900153,0.00036304508,0.00008848394,0.000009120374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006692836,0.00017087252,0.00024607108,0.000301741,0.00013506315,0.0002691226,0.0003392435,0.00003444148,0.00010143604],"category_scores_gemma":[0.00041500476,0.00015775335,0.000022330396,0.00042956002,0.000039088525,0.0012090795,0.0002790456,0.000084999105,0.000065566914],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097361254,0.0001869894,0.9197751,0.0018923833,0.00021503426,0.000028256542,0.00059537636,0.00234117,0.00024407235,0.011736022,0.028185628,0.03382634],"study_design_scores_gemma":[0.0011109724,0.000020395164,0.37209833,0.00016739608,0.00008423596,8.451735e-7,0.0006011196,0.6185501,0.00001916651,0.0015997617,0.005375097,0.0003725725],"about_ca_topic_score_codex":0.00014577633,"about_ca_topic_score_gemma":0.0010171323,"teacher_disagreement_score":0.616209,"about_ca_system_score_codex":0.000019090205,"about_ca_system_score_gemma":0.00002973777,"threshold_uncertainty_score":0.6432995},"labels":[],"label_agreement":null},{"id":"W4382238952","doi":"10.3982/qe142fm","title":"Frontmatter of Quantitative Economics Vol. 14 Iss. 2","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; Rheinische Friedrich-Wilhelms-Universität Bonn; University of Oxford; York University; University College London; London School of Economics and Political Science; University of Rochester; Georgetown University; Johns Hopkins University; University of California, Irvine; University of California, Santa Barbara; University of Wisconsin-Madison; University of Chicago; Northwestern University; Euskal Herriko Unibertsitatea; California Institute of Technology; University of Pennsylvania; Core Research for Evolutional Science and Technology; Princeton University; Massachusetts Institute of Technology; Washington University in St. Louis; Yale University","keywords":"Citation; Library science; Computer science; Operations research; Information retrieval; Mathematics","score_opus":0.07818279205668138,"score_gpt":0.3410686140856567,"score_spread":0.2628858220289753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382238952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88728625,0.00011451737,0.0002926397,0.0048181843,0.002123555,0.00034811572,0.00017621147,0.00015301933,0.1046875],"genre_scores_gemma":[0.8318272,0.0030494218,0.03779552,0.0015274892,0.000615925,0.0001961828,0.0003735042,0.00021349998,0.12440122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99765205,0.00021958406,0.00082250364,0.00057513424,0.00011116512,0.0006195834],"domain_scores_gemma":[0.9974359,0.0012030753,0.00059299456,0.000295976,0.00028085138,0.0001912044],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015021649,0.0002827605,0.0006273517,0.00039126963,0.00041409448,0.000100387995,0.00058944046,0.00020127851,0.0016068234],"category_scores_gemma":[0.00047946876,0.0003361759,0.00025147948,0.00033203175,0.0009712737,0.0007652985,0.00013617144,0.00018332654,0.005803557],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009791376,0.00007686683,0.013363166,0.00002806135,0.0004026259,0.0000035862124,0.035611525,0.0014688747,0.000034441797,0.80792207,0.13837685,0.002614058],"study_design_scores_gemma":[0.0014381503,0.00025563946,0.03311436,0.00005839837,0.000058317477,0.0000010020931,0.067750804,0.0063805287,0.00026605147,0.07856645,0.81094265,0.0011676756],"about_ca_topic_score_codex":0.0008764814,"about_ca_topic_score_gemma":0.0022355285,"teacher_disagreement_score":0.7293556,"about_ca_system_score_codex":0.00053931074,"about_ca_system_score_gemma":0.0005640498,"threshold_uncertainty_score":0.99990904},"labels":[],"label_agreement":null},{"id":"W4382874219","doi":"10.3982/qe1626","title":"Bootstrap inference under cross‐sectional dependence","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University; Center for Interuniversity Research and Analysis on Organizations; Western University","funders":"Swenson College of Science and Engineering, University of Minnesota Duluth; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Chinese University of Hong Kong","keywords":"Inference; Econometrics; Studentized range; Statistics; Mathematics; Representation (politics); Kernel (algebra); Spatial analysis; Statistical inference; Regression; Computer science; Standard error; Artificial intelligence; Combinatorics","score_opus":0.3198245107243074,"score_gpt":0.3557129964063339,"score_spread":0.035888485682026516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382874219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745042,0.00021267767,0.0044532046,0.00046352844,0.0010338223,0.00016987017,0.00061489904,0.00015358822,0.018394222],"genre_scores_gemma":[0.9947084,0.00045150288,0.0008834567,0.0005369112,0.00016037504,0.00003123768,0.000098627796,0.000041598592,0.0030878831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977899,0.000020538098,0.0008909762,0.00068352255,0.000023278844,0.0005917847],"domain_scores_gemma":[0.9986517,0.0003508137,0.00041730865,0.00039367285,0.00001949035,0.00016703074],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00081455166,0.00025402132,0.00042839715,0.00043125133,0.000248334,0.00024057817,0.00038690516,0.00016711632,0.0016114064],"category_scores_gemma":[0.00020093945,0.0003316963,0.00019670984,0.00022461386,0.00019777502,0.0008886162,0.0000996302,0.0002363552,0.021942679],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027345028,0.000024260955,0.29126152,0.000011294011,0.00007144267,0.0000022510596,0.00024427482,0.08667906,0.0000109473485,0.6209269,0.0006796994,0.000060965227],"study_design_scores_gemma":[0.00047508653,0.00009348748,0.621664,0.0000048184797,0.0000025480515,0.000006532586,0.000121783385,0.10227519,0.000055061177,0.26804927,0.0068219258,0.0004303061],"about_ca_topic_score_codex":0.00042067422,"about_ca_topic_score_gemma":0.00009649759,"teacher_disagreement_score":0.35287768,"about_ca_system_score_codex":0.00019618878,"about_ca_system_score_gemma":0.000044651566,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W4384571183","doi":"10.3982/qe143bm","title":"Backmatter of Quantitative Economics Vol. 14 Iss. 3","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Università Bocconi; Pontificia Universidad Católica de Chile; Curtin University of Technology; University College London; London School of Economics and Political Science; Harvard Kennedy School; University of Oxford; Northwestern University; Massachusetts Institute of Technology; University of New South Wales; York University; University of Pennsylvania; Rheinische Friedrich-Wilhelms-Universität Bonn; Cowles Foundation for Research in Economics; Princeton University; Université de Genève; Concordia University; Yale University","keywords":"Economics","score_opus":0.10791462447492406,"score_gpt":0.2685390802994448,"score_spread":0.16062445582452073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384571183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75242436,0.00093570375,0.000703884,0.0009433794,0.008068843,0.0005308081,0.0041838214,0.0001671461,0.23204207],"genre_scores_gemma":[0.64895105,0.010304023,0.030037882,0.0018007061,0.0005508887,0.00025784873,0.0005587088,0.0004030549,0.30713585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966869,0.000031891388,0.0015540315,0.0010237235,0.000028943143,0.0006745245],"domain_scores_gemma":[0.9975038,0.00043794813,0.0011035531,0.00062835397,0.00017448468,0.00015185769],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013913893,0.00038632975,0.0011732103,0.00079607236,0.00021880884,0.0001260798,0.0005870882,0.00015993128,0.0045162733],"category_scores_gemma":[0.00047054194,0.00048459327,0.00039161934,0.00045714126,0.0005583651,0.00078477507,0.00030266077,0.00018535151,0.06140037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073408366,0.0000815631,0.0071852473,0.000058781865,0.0004387162,0.0000023852244,0.002926191,0.0030988595,0.000021243675,0.83895296,0.14698581,0.00017480114],"study_design_scores_gemma":[0.0027398607,0.0005312547,0.016253253,0.00006430805,0.000055170967,0.000004018192,0.014133527,0.05960867,0.00058849604,0.17333053,0.7308686,0.0018223062],"about_ca_topic_score_codex":0.00016637372,"about_ca_topic_score_gemma":0.000073998584,"teacher_disagreement_score":0.6656225,"about_ca_system_score_codex":0.00021221662,"about_ca_system_score_gemma":0.00006124569,"threshold_uncertainty_score":0.99976057},"labels":[],"label_agreement":null},{"id":"W4388542675","doi":"10.3982/qe1533","title":"Behavioral learning equilibria in New Keynesian models","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"China Scholarship Council; De Nederlandsche Bank; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Bank of Canada","keywords":"New Keynesian economics; Rational expectations; Benchmark (surveying); Econometrics; Inflation (cosmology); Phillips curve; Autocorrelation; Sample (material); Smoothing; Computer science; Monetary policy; Economics; Mathematics; Statistics; Keynesian economics","score_opus":0.30204938834055295,"score_gpt":0.31315628732769063,"score_spread":0.011106898987137681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388542675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786063,0.00033935782,0.001337013,0.0008004316,0.0004617329,0.00020849772,0.00009459435,0.00012712512,0.018024972],"genre_scores_gemma":[0.99142545,0.0004685004,0.001650745,0.00016322407,0.0001240849,0.00001494809,0.00009523251,0.00006322178,0.0059945835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977985,0.00002975134,0.0009009652,0.0005960608,0.000014775552,0.0006599735],"domain_scores_gemma":[0.9990262,0.00012571846,0.00034517722,0.00030644942,0.000004052906,0.00019241293],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007108537,0.0002523032,0.0006061425,0.00068841066,0.00009691097,0.00011624913,0.00030031655,0.00014828493,0.00042898903],"category_scores_gemma":[0.000069044734,0.00035055834,0.00016723653,0.00031813158,0.00006581432,0.00106061,0.000095114236,0.00028886233,0.006648486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007579157,0.000066313005,0.066690005,0.0000151626455,0.00004911421,0.000012778207,0.0047673285,0.27262506,0.000020726255,0.65141195,0.0029987325,0.0012670426],"study_design_scores_gemma":[0.0008873193,0.00016771817,0.011948458,0.000011330691,0.0000038312305,0.0000028885825,0.00060955324,0.7367293,0.000016814372,0.23573336,0.01342505,0.00046434958],"about_ca_topic_score_codex":0.0026922403,"about_ca_topic_score_gemma":0.00048565192,"teacher_disagreement_score":0.46410426,"about_ca_system_score_codex":0.00021318822,"about_ca_system_score_gemma":0.00005933599,"threshold_uncertainty_score":0.9998946},"labels":[],"label_agreement":null},{"id":"W4388542734","doi":"10.3982/qe1892","title":"Capital reallocation and the cyclicality of aggregate productivity","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Total factor productivity; Economics; Productivity; Business cycle; Capital (architecture); Aggregate (composite); Monetary economics; Labour economics; Creative destruction; Econometrics; Macroeconomics; Market economy","score_opus":0.0889866092454521,"score_gpt":0.25347564994822,"score_spread":0.16448904070276793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388542734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98647195,0.00055942853,0.00014775194,0.0031745126,0.00030096326,0.00028068753,0.00022179897,0.000036979785,0.008805937],"genre_scores_gemma":[0.9974915,0.0016002653,0.00043206266,0.00009106375,0.000047948324,0.000026665486,0.000026733016,0.000016166961,0.00026761537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873114,0.000034207453,0.0006186877,0.00038532252,0.000012666042,0.00021796173],"domain_scores_gemma":[0.9988655,0.0002457294,0.00048454257,0.00032686442,0.000026572861,0.000050832296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013695124,0.00013002518,0.00044850103,0.00012066436,0.000102089165,0.000046053912,0.0001837052,0.000065898486,0.000025715499],"category_scores_gemma":[0.00031242546,0.00012518052,0.00010379052,0.00018866437,0.00045650068,0.00029824767,0.00008358135,0.00010356174,0.0004207928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006914127,0.00002414999,0.014596001,0.000024567054,0.000069146816,2.5284905e-7,0.0012904844,0.00034228218,0.000009297211,0.98296756,0.00020276851,0.00040434045],"study_design_scores_gemma":[0.0015048003,0.00008650161,0.18475229,0.000009657079,0.000012494343,0.0000035348592,0.00092300266,0.018640447,0.00020031545,0.7851773,0.008410874,0.000278818],"about_ca_topic_score_codex":0.0004747777,"about_ca_topic_score_gemma":0.00012036063,"teacher_disagreement_score":0.19779031,"about_ca_system_score_codex":0.000052589337,"about_ca_system_score_gemma":0.000017352668,"threshold_uncertainty_score":0.5408581},"labels":[],"label_agreement":null},{"id":"W4388542735","doi":"10.3982/qe144bm","title":"Backmatter of Quantitative Economics Vol. 14 Iss. 4","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Università Bocconi; Pontificia Universidad Católica de Chile; Curtin University of Technology; University College London; London School of Economics and Political Science; Harvard Kennedy School; University of Oxford; Northwestern University; Massachusetts Institute of Technology; University of New South Wales; York University; University of Pennsylvania; Rheinische Friedrich-Wilhelms-Universität Bonn; Cowles Foundation for Research in Economics; Princeton University; Université de Genève; Concordia University; Yale University","keywords":"Economics","score_opus":0.10872373260733936,"score_gpt":0.2689720194562846,"score_spread":0.1602482868489452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388542735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75243735,0.0009401313,0.0007086744,0.0009438204,0.00802821,0.00053216476,0.004161686,0.00016763706,0.2320803],"genre_scores_gemma":[0.657971,0.010268428,0.029959071,0.0017960024,0.00054470915,0.0002569733,0.00055702956,0.0004015856,0.29824516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668634,0.000031888125,0.0015544619,0.0010238023,0.00002894171,0.0006745835],"domain_scores_gemma":[0.99750525,0.00043860284,0.0011036969,0.00062861125,0.00017196217,0.00015186371],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001392256,0.00038635064,0.0011734253,0.0007963598,0.00021889342,0.00012613191,0.0005874235,0.00015994177,0.0044577033],"category_scores_gemma":[0.00046542616,0.00048466475,0.00039164288,0.00045709588,0.00055844296,0.00078486407,0.00030275038,0.00018534705,0.060483392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007349014,0.00008103198,0.007147955,0.000058020603,0.0004356947,0.000002375162,0.0029082678,0.003044154,0.000020845508,0.8411283,0.14492635,0.00017349006],"study_design_scores_gemma":[0.002778883,0.0005476256,0.016596729,0.0000655465,0.000056457233,0.000004120925,0.014412854,0.06080482,0.0005891398,0.1776611,0.72462845,0.0018542757],"about_ca_topic_score_codex":0.00016522533,"about_ca_topic_score_gemma":0.00007423429,"teacher_disagreement_score":0.6634672,"about_ca_system_score_codex":0.00021158214,"about_ca_system_score_gemma":0.000061067316,"threshold_uncertainty_score":0.9997605},"labels":[],"label_agreement":null},{"id":"W4391139230","doi":"10.3982/qe2269","title":"A robust permutation test for subvector inference in linear regressions","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Toulouse School of Economics","keywords":"Inference; Permutation (music); Test (biology); Resampling; Computer science; Mathematics; Statistics; Econometrics; Artificial intelligence; Geology","score_opus":0.29011770701136125,"score_gpt":0.45298147159203966,"score_spread":0.16286376458067842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391139230","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18537444,0.00012871278,0.8115156,0.00039441793,0.00049374043,0.00044092882,0.00042591974,0.000078354555,0.0011478349],"genre_scores_gemma":[0.28418276,0.000068751586,0.7151764,0.000041733372,0.00006240815,0.00012027604,0.000018598043,0.000030030393,0.00029902835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902487,0.000057601337,0.000380741,0.00029811,0.00003808499,0.00020058073],"domain_scores_gemma":[0.98065436,0.01900212,0.00007266594,0.0001357756,0.000079370526,0.000055685687],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00048684637,0.00013728833,0.0002484791,0.00013325368,0.000053955773,0.000071619055,0.000104135084,0.00007364712,0.00011215456],"category_scores_gemma":[0.01303191,0.00012259078,0.0000614696,0.00014435442,0.00007331392,0.0001498713,0.00002653165,0.00015448028,0.000057180594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018572324,0.000057022575,0.0007243454,0.00016026579,0.00001346921,0.0000034639363,0.00087195705,0.00024870585,0.00012590352,0.99338776,0.00035760863,0.0040309182],"study_design_scores_gemma":[0.00017972922,0.00018323936,0.0007964052,0.0001802206,0.000015113889,0.0000011812753,0.00029633133,0.43540758,0.00021257662,0.5619415,0.00063405297,0.0001520563],"about_ca_topic_score_codex":0.000011519663,"about_ca_topic_score_gemma":0.000098300145,"teacher_disagreement_score":0.43515888,"about_ca_system_score_codex":0.00009105146,"about_ca_system_score_gemma":0.00012955403,"threshold_uncertainty_score":0.99528176},"labels":[],"label_agreement":null},{"id":"W4400988959","doi":"10.3982/qe2242","title":"Specification testing for conditional moment restrictions under local identification failure","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Moment (physics); Estimator; Identification (biology); Mathematics; Applied mathematics; Degenerate energy levels; Conditional expectation; Representation (politics); Limit (mathematics); Jacobian matrix and determinant; Convergence (economics); Second moment of area; Econometrics; Statistics; Mathematical analysis; Physics","score_opus":0.27135120600136653,"score_gpt":0.42505323393019534,"score_spread":0.1537020279288288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400988959","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0191819,0.000045348545,0.9776689,0.0010665935,0.00030112543,0.00032893833,0.00041449594,0.0000859441,0.00090677856],"genre_scores_gemma":[0.36012876,0.000011472228,0.6390845,0.00003947968,0.00012210842,0.00016881869,0.00012392376,0.000024889712,0.00029605578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990477,0.000048610666,0.0004095766,0.00029460024,0.000055821467,0.00014372311],"domain_scores_gemma":[0.9953243,0.004213085,0.00011001359,0.00014093546,0.00016245048,0.0000492197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043288595,0.000108664775,0.00014121056,0.000103959916,0.00013794709,0.00013770616,0.00008086304,0.00005618901,0.00010036043],"category_scores_gemma":[0.00083734194,0.00011015432,0.00005627691,0.00014764366,0.000106616135,0.0001613728,0.000014391101,0.0001004771,0.00011159427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006960461,0.00003394178,0.000026430112,0.00006333742,0.000039081642,2.945363e-7,0.00011307294,0.00037961826,0.00053600484,0.9901153,0.004061274,0.0046247006],"study_design_scores_gemma":[0.000098337136,0.0000879245,0.0019446772,0.000027196676,0.000033889657,0.0000029443886,0.0006726065,0.12722477,0.00046087676,0.8650958,0.0042316723,0.000119283046],"about_ca_topic_score_codex":0.000005403287,"about_ca_topic_score_gemma":0.000016432734,"teacher_disagreement_score":0.34094685,"about_ca_system_score_codex":0.0001914761,"about_ca_system_score_gemma":0.00008780625,"threshold_uncertainty_score":0.44919628},"labels":[],"label_agreement":null},{"id":"W4400989030","doi":"10.3982/qe2330","title":"Changes in the span of systematic risk exposures","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Principal component analysis; Econometrics; Mathematics; Test statistic; Statistics; Statistic; Factor analysis; Null hypothesis; Null (SQL); Asset (computer security); Projection (relational algebra); Statistical hypothesis testing; Computer science; Algorithm; Data mining","score_opus":0.0765402005754232,"score_gpt":0.2615490754611305,"score_spread":0.18500887488570728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400989030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9484774,0.014052825,0.00040339283,0.00074701733,0.00067038037,0.0005314621,0.00029077707,0.000023413113,0.034803357],"genre_scores_gemma":[0.99633753,0.0028670826,0.00040429225,0.00011182828,0.00004411088,0.00007346777,0.0000059774493,0.00001568106,0.00014003702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988964,0.000058322265,0.00061287795,0.00024861045,0.000016615757,0.00016713231],"domain_scores_gemma":[0.9989953,0.0004413207,0.00029701676,0.00023822652,0.000011550165,0.00001655194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013030787,0.00012702844,0.00043672745,0.0002508486,0.000043944852,0.00011919628,0.00024641826,0.000053805692,0.00006405991],"category_scores_gemma":[0.00020524803,0.000102987695,0.00009458244,0.00018981707,0.000101039026,0.00021671488,0.000021892412,0.00012253519,0.00018186285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067864967,0.000025626561,0.008714885,0.0017504097,0.000042847125,0.000002012897,0.0028507423,0.00008854311,0.0000025009444,0.9862434,0.00022406619,0.000048177004],"study_design_scores_gemma":[0.00042670235,0.00073038647,0.11139354,0.0017669946,0.000042485797,0.000005630273,0.009105632,0.027871788,0.00012952392,0.8390245,0.008954634,0.0005481822],"about_ca_topic_score_codex":0.00031316187,"about_ca_topic_score_gemma":0.0007374722,"teacher_disagreement_score":0.1472189,"about_ca_system_score_codex":0.000047658606,"about_ca_system_score_gemma":0.0000212387,"threshold_uncertainty_score":0.41997164},"labels":[],"label_agreement":null},{"id":"W4404418914","doi":"10.3982/qe2077","title":"Deconvolution from two order statistics","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Deconvolution; Statistics; Order (exchange); Order statistic; Mathematics; Economics","score_opus":0.1580809999472442,"score_gpt":0.4502624829346805,"score_spread":0.2921814829874363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404418914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21034588,0.00036296633,0.7813644,0.00080691616,0.0009612387,0.00009922536,0.00096343475,0.00007139398,0.0050245663],"genre_scores_gemma":[0.8783617,0.0001315853,0.114799835,0.00032293424,0.0003147558,0.00002970212,0.00013386691,0.000027285763,0.005878346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99878097,0.00010224536,0.0004471282,0.00043326768,0.00010786516,0.0001285231],"domain_scores_gemma":[0.99632466,0.0030313914,0.0001107283,0.00030557357,0.0001606865,0.00006697421],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008301934,0.00010022623,0.00015624241,0.00014109205,0.00014908321,0.00035917514,0.0002729186,0.00003825964,0.00273276],"category_scores_gemma":[0.00067393,0.000088120396,0.00005512613,0.00033659177,0.00015269975,0.00043845136,0.000046193847,0.00010978253,0.011946309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010126996,0.000008921018,0.00022317914,8.0103314e-7,0.000025226078,9.3477803e-7,0.00044414966,0.0018197864,0.00006253724,0.9636353,0.0087677,0.02500131],"study_design_scores_gemma":[0.00007998834,0.00001863501,0.000679063,0.0000035343621,0.0000092809205,0.0000011862722,0.0008803804,0.108687006,0.00014698342,0.73243153,0.15696794,0.00009448232],"about_ca_topic_score_codex":0.00005159724,"about_ca_topic_score_gemma":0.00016553921,"teacher_disagreement_score":0.66801584,"about_ca_system_score_codex":0.00006254691,"about_ca_system_score_gemma":0.0001083651,"threshold_uncertainty_score":0.9981789},"labels":[],"label_agreement":null},{"id":"W4411219679","doi":"10.3982/qe2585","title":"Real‐time detection of local no‐arbitrage violations","year":2025,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Arbitrage; Business; Geology; Finance","score_opus":0.06787552623512536,"score_gpt":0.41020364257895414,"score_spread":0.34232811634382876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411219679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1610691,0.000036654787,0.8072368,0.000059103968,0.000463472,0.00010169189,0.000050074228,0.000026553138,0.03095655],"genre_scores_gemma":[0.96429425,0.00003578867,0.034509886,0.00002215947,0.000027259313,0.0000091362745,0.0000028440757,0.00000857142,0.0010900726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986062,0.000084134845,0.00067649264,0.00034490868,0.00013298582,0.00015527535],"domain_scores_gemma":[0.99540985,0.0035633873,0.00027159706,0.00027743145,0.0004275173,0.00005020726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068156514,0.000105728286,0.00028887656,0.0002487179,0.00012304205,0.00005006024,0.00028517068,0.000060308823,0.00009313031],"category_scores_gemma":[0.002788468,0.000100801335,0.000069858135,0.00041057105,0.00022976301,0.00038926816,0.00007076933,0.00013314863,0.00057606184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025197622,0.00010019056,0.0015238713,0.00002975521,0.000078546225,0.000001942546,0.00033490744,0.025065145,0.026886309,0.8464087,0.00040129203,0.09891734],"study_design_scores_gemma":[0.00042145915,0.00019864294,0.013449676,0.000036553403,0.000021804844,6.107323e-7,0.0012434283,0.30573943,0.027752127,0.64642256,0.004480239,0.00023342295],"about_ca_topic_score_codex":0.000041076215,"about_ca_topic_score_gemma":0.000042532974,"teacher_disagreement_score":0.8032252,"about_ca_system_score_codex":0.00011337574,"about_ca_system_score_gemma":0.00010210473,"threshold_uncertainty_score":0.7404302},"labels":[],"label_agreement":null},{"id":"W4412917038","doi":"10.3982/qe163bm","title":"Backmatter of Quantitative Economics Vol. 16 Iss. 3","year":2025,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Toulouse School of Economics; Harvard Kennedy School; Stockholms Universitet; Universität Mannheim; Institució Catalana de Recerca i Estudis Avançats; University of Bristol; Universitat Pompeu Fabra; National University of Singapore; University College London; London School of Economics and Political Science; Cowles Foundation for Research in Economics; Harvard University; Northwestern University; York University; University of Pennsylvania; University of Minnesota; Princeton University; University of New South Wales; Massachusetts Institute of Technology; Concordia University; Yale University","keywords":"Economics","score_opus":0.062323699461390165,"score_gpt":0.26352925425908086,"score_spread":0.2012055547976907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412917038","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34281784,0.0027796656,0.0049277553,0.0010610486,0.0072344635,0.0005330124,0.002340238,0.00006361772,0.63824236],"genre_scores_gemma":[0.6853281,0.0050965296,0.03265057,0.0029757307,0.00021117201,0.00015693124,0.00016953015,0.00015331634,0.27325812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680036,0.00003225614,0.001625604,0.000992244,0.000019528705,0.0005299879],"domain_scores_gemma":[0.9976581,0.00039902193,0.0010218705,0.0006483568,0.0001704951,0.00010216],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010006266,0.00038183152,0.0012245693,0.00071994256,0.00021040438,0.00013160735,0.0006043086,0.00016426986,0.004520885],"category_scores_gemma":[0.0003718623,0.0004774697,0.00038493442,0.00030571254,0.0006164181,0.00068758853,0.00028012422,0.0001903523,0.009721284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086276676,0.000111591384,0.007866642,0.00006178073,0.00051062816,5.169685e-7,0.00094314746,0.0007579106,0.00001039768,0.908589,0.0808245,0.00023759379],"study_design_scores_gemma":[0.002370216,0.00028415522,0.006788907,0.000091013615,0.00006620874,0.0000015135399,0.008719671,0.0130782705,0.0008017866,0.27103108,0.69564074,0.0011264508],"about_ca_topic_score_codex":0.00030913632,"about_ca_topic_score_gemma":0.00014710627,"teacher_disagreement_score":0.6375579,"about_ca_system_score_codex":0.00042860766,"about_ca_system_score_gemma":0.00010099969,"threshold_uncertainty_score":0.9997677},"labels":[],"label_agreement":null},{"id":"W4412917118","doi":"10.3982/qe2644","title":"Testing mean stationarity of intraday volatility curves","year":2025,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadiana.org; Kellogg's (Canada)","funders":"Shanghai University of Finance and Economics; China Scholarship Council; National Natural Science Foundation of China","keywords":"Volatility (finance); Econometrics; Economics","score_opus":0.09454507123396114,"score_gpt":0.2897055077010882,"score_spread":0.19516043646712708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412917118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91967475,0.003761796,0.053260013,0.00047260572,0.0003784697,0.00026428272,0.000447891,0.000034978064,0.021705216],"genre_scores_gemma":[0.97683775,0.00037841205,0.02232941,0.00022417636,0.000017964865,0.000012681881,0.000028036124,0.000012233361,0.00015935648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983061,0.000028098488,0.0010305514,0.00040591037,0.00001851189,0.00021081338],"domain_scores_gemma":[0.9985184,0.0005117357,0.0004850321,0.00030013124,0.0001450944,0.000039575745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010319982,0.00015056408,0.00052434776,0.00020815633,0.0001118095,0.00002455266,0.00021239623,0.00007925604,0.000068135065],"category_scores_gemma":[0.001335161,0.00019716301,0.00010679528,0.0003182465,0.00013584651,0.0003333448,0.00006385493,0.00015726849,0.000037328355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024399353,0.00007185016,0.20234698,0.00019458054,0.000044775028,1.4365376e-7,0.00044854195,0.00046388488,0.000017676302,0.7948199,0.00025039964,0.0013168439],"study_design_scores_gemma":[0.0003900732,0.00008771229,0.21842541,0.00015784353,0.000011870742,2.179517e-7,0.00022199353,0.263952,0.00021783177,0.51347756,0.0028062172,0.00025130293],"about_ca_topic_score_codex":0.0008437716,"about_ca_topic_score_gemma":0.00023329424,"teacher_disagreement_score":0.2813424,"about_ca_system_score_codex":0.000117543335,"about_ca_system_score_gemma":0.00010643743,"threshold_uncertainty_score":0.8040074},"labels":[],"label_agreement":null}]}