{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":81,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":81,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"41beb13ec7a0","filters":{"venue":"Econometrica"}},"results":[{"id":"W2104972618","doi":"10.1111/j.1468-0262.2004.00481.x","title":"Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities","year":2003,"lang":"en","type":"article","venue":"Econometrica","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":2280,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Deworming; Externality; Quarter (Canadian coin); Population; Environmental health; Absenteeism; Medicine; Treatment and control groups; Helminthiasis; Randomized experiment; Economics; Psychology; Geography; Immunology; Helminths; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.05910216946591262,"gpt":0.3571260535026201,"spread":0.2980238840367075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958405,0.00004347139,0.00008168769,0.0002098855,0.000184006,0.00005356644,0.00008831431,0.00001643811,0.00007202047],"category_scores_gemma":[0.000159257,0.00003196837,0.00001889559,0.0004485668,0.00004603522,0.0001512327,0.000002226961,0.00002757783,0.000003583674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267011,"about_ca_system_score_gemma":0.0005658983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030425,"about_ca_topic_score_gemma":0.002698404,"domain_scores_codex":[0.9994415,0.0001374168,0.0001318913,0.00009569962,0.00006467563,0.0001287891],"domain_scores_gemma":[0.9995751,0.0001690359,0.0000887628,0.0001030698,0.00001352652,0.00005046514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004970845,0.0007669587,0.4441621,0.00003553608,0.00001695055,1.326667e-7,0.265334,0.000006574574,6.62262e-7,0.1893686,0.003845503,0.09645801],"study_design_scores_gemma":[0.0001600562,0.0001369026,0.7734632,0.00004461349,0.000003218652,8.654315e-7,0.05442726,0.000001183289,0.00002089265,0.00935445,0.1623154,0.00007190154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022508,0.009577615,0.000005727911,0.006586613,0.0003292009,0.0002616599,0.000005414868,0.000006097646,0.08097691],"genre_scores_gemma":[0.9931235,0.005580676,0.0000394339,0.0003123143,0.00005770635,0.00001214824,0.000001626105,0.000002061262,0.0008705669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3293012,"threshold_uncertainty_score":0.9962862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112231177","doi":"10.3982/ecta6822","title":"Unconditional Quantile Regressions","year":2009,"lang":"en","type":"article","venue":"Econometrica","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2210,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"","keywords":"Quantile; Quantile regression; Econometrics; Mathematics; Statistics; Quantile function; Marginal distribution; Variable (mathematics); Distribution (mathematics); Random variable; Cumulative distribution function; Probability density function","retraction":null,"screen_n_in":null,"score":{"opus":0.1428703376059224,"gpt":0.4080761164386754,"spread":0.265205778832753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001804678,0.00007176313,0.0001540421,0.0002001702,0.00007001129,0.00002402758,0.0001102988,0.00003884712,0.004183981],"category_scores_gemma":[0.002969464,0.00005956179,0.00004689702,0.0004213153,0.00002542067,0.00004920065,0.00001472217,0.00008657511,0.0002354751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002494991,"about_ca_system_score_gemma":0.00002295456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001451111,"about_ca_topic_score_gemma":2.440883e-7,"domain_scores_codex":[0.9993902,0.00002821204,0.0002002705,0.0001477283,0.00008215683,0.000151446],"domain_scores_gemma":[0.9984295,0.001197838,0.00007053703,0.0001749276,0.00003286162,0.00009438729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002461005,0.00008013327,0.0002808186,0.00000297632,0.000005012905,0.000002638398,0.00001349776,3.879737e-7,0.00001446711,0.9249405,0.04209378,0.03256331],"study_design_scores_gemma":[0.0001307085,0.00009658892,0.02753612,0.00001076368,0.000006587791,0.000003759181,0.00001255158,0.0002579195,0.0001169537,0.9593335,0.01239603,0.00009855185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07273204,0.0002254123,0.3175828,0.00485998,0.0005974214,0.0003189245,0.0003574454,0.0002921982,0.6030338],"genre_scores_gemma":[0.6230438,0.000008466427,0.3753825,0.0003366809,0.00009195863,0.000006126276,0.000009908124,0.000005866329,0.001114645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6019192,"threshold_uncertainty_score":0.9967263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122592429","doi":"10.1111/j.1468-0262.2005.00640.x","title":"A Smooth Model of Decision Making under Ambiguity","year":2005,"lang":"en","type":"article","venue":"Econometrica","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1948,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"Economic and Social Research Council; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Ambiguity; Decision-making models; Mathematical economics; Economics; Computer science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.2157617532183749,"gpt":0.4175990168238284,"spread":0.2018372636054535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002464858,0.0001902164,0.0005574108,0.001900192,0.0001281387,0.0002561207,0.001210498,0.0001376759,0.001749072],"category_scores_gemma":[0.002392796,0.0001568279,0.0002968397,0.001916389,0.0001007893,0.0006242725,0.0003454053,0.0001658793,0.001383664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193024,"about_ca_system_score_gemma":0.0001074568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009953101,"about_ca_topic_score_gemma":0.00003778742,"domain_scores_codex":[0.9969206,0.00004726298,0.00138487,0.0006819527,0.0006335315,0.0003318167],"domain_scores_gemma":[0.9958407,0.002116198,0.0006118845,0.001062367,0.0002209352,0.0001479027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003210831,0.0001271848,0.001999957,6.70284e-7,0.000005053938,9.524633e-7,0.0000832454,0.06680766,0.00002309653,0.0009573338,0.003574162,0.9263886],"study_design_scores_gemma":[0.0008145441,0.0001399082,0.02136115,0.0000415409,0.0000264976,0.0000105507,0.0003194791,0.3892919,0.0002514888,0.5520987,0.03510284,0.0005414756],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090992,0.0001631873,0.07026913,0.0003411191,0.0002935534,0.0001071181,0.00004476356,0.00003715301,0.01964478],"genre_scores_gemma":[0.9612458,0.00002024483,0.03771996,0.0003707266,0.00008394434,0.000004746364,0.000001039764,0.00001884907,0.0005346522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9258471,"threshold_uncertainty_score":0.9993939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098231884","doi":"10.1111/j.1468-0262.2004.00552.x","title":"Polarization: Concepts, Measurement, Estimation","year":2004,"lang":"en","type":"article","venue":"Econometrica","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":617,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Estimator; Polarization (electrochemistry); Axiom; Mathematics; Statistical inference; Inference; Statistical physics; Econometrics; Applied mathematics; Mathematical economics; Statistics; Computer science; Physics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.07638763933002761,"gpt":0.3305092577590955,"spread":0.2541216184290679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923994,0.0000639857,0.0001090696,0.0001964797,0.0004043926,0.00008897014,0.0001591838,0.00006534212,0.0007348615],"category_scores_gemma":[0.001123053,0.00006817376,0.0000472911,0.0009172239,0.0000965924,0.0004109769,0.0000162328,0.00006049792,0.0003913935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621316,"about_ca_system_score_gemma":0.0002361744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678738,"about_ca_topic_score_gemma":0.0002187268,"domain_scores_codex":[0.9990811,0.00006971719,0.0002032524,0.0001537769,0.0002871836,0.0002049757],"domain_scores_gemma":[0.9995052,0.00004248773,0.00009932683,0.0001285477,0.0001282141,0.00009620292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001152326,0.000282339,0.02917612,0.00002335104,0.00005053264,0.000001886754,0.01084165,0.0006882524,0.00005746767,0.9176511,0.00490253,0.03631323],"study_design_scores_gemma":[0.001926321,0.0001744903,0.1201389,0.00003181896,0.00003504742,9.934901e-7,0.002678878,0.0002731458,0.0007158912,0.06983528,0.8034906,0.000698684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04738087,0.0008164119,0.06078161,0.01091898,0.001891006,0.0005585368,0.00002414663,0.0003123333,0.8773161],"genre_scores_gemma":[0.99755,0.00003014167,0.001040254,0.0004543909,0.0003237624,0.000006470198,0.000007676251,0.000005524758,0.0005818365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501691,"threshold_uncertainty_score":0.8046219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214806580","doi":"10.3982/ecta5997","title":"An Empirical Model of Growth Through Product Innovation","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":354,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Samfund og Erhverv, Det Frie Forskningsråd; National Science Foundation","keywords":"Economics; Productivity; Aggregate (composite); Growth model; Structural estimation; Growth theory; Econometrics; Panel data; Microeconomics; Resource (disambiguation); Product innovation; Product (mathematics); Creative destruction; Industrial organization; Macroeconomics; Mathematics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1482846756506713,"gpt":0.2848216258298651,"spread":0.1365369501791938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235031,0.0001568471,0.000436448,0.001561804,0.0001117333,0.00002168457,0.0002973762,0.00009232544,0.0003978852],"category_scores_gemma":[0.0004067923,0.0001861883,0.00007467395,0.004648569,0.0001143819,0.0008009817,0.00003831907,0.0001496791,0.0003084752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008589966,"about_ca_system_score_gemma":0.0000546962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004265253,"about_ca_topic_score_gemma":7.816186e-7,"domain_scores_codex":[0.9980953,0.00001040511,0.001099594,0.0004959116,0.00005007709,0.0002487209],"domain_scores_gemma":[0.9987006,0.00003334605,0.0005626893,0.0004640897,0.0001924204,0.00004687218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000162465,0.0003787997,0.2874334,0.00002663493,0.00003410666,0.000001025399,0.0007310802,0.0004088392,0.00009766961,0.7042412,0.006312522,0.0003185606],"study_design_scores_gemma":[0.002227431,0.0005916289,0.4289731,0.00001067066,0.000009472532,0.00002532693,0.00007871483,0.07177371,0.006526965,0.4611735,0.02731236,0.001297133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638158,0.0003106288,0.0319777,0.001284687,0.0002418108,0.000223854,0.0001440875,0.00008182463,0.1019196],"genre_scores_gemma":[0.9877998,0.00009420944,0.009992036,0.0008705617,0.0001099743,0.00001975206,0.00006336017,0.00002740141,0.001022939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430677,"threshold_uncertainty_score":0.7592539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1514149482","doi":"10.3982/ecta13569","title":"The Dynamics of Inequality","year":2016,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":331,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Inequality; Economics; Econometrics; Mathematical economics; Mathematics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.03138064330231934,"gpt":0.2102425697544379,"spread":0.1788619264521186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042585,0.0001137488,0.0003514412,0.0002457403,0.000114075,0.00003438388,0.0004315817,0.00006660214,0.0006405788],"category_scores_gemma":[0.0004389452,0.00007759839,0.0001545237,0.0003205616,0.0001733815,0.0001971564,0.00009994387,0.00005513662,0.0005989038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860858,"about_ca_system_score_gemma":0.00001664612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007836871,"about_ca_topic_score_gemma":0.00003661277,"domain_scores_codex":[0.9985455,0.00001329019,0.0008477177,0.0002911355,0.00001617134,0.0002862216],"domain_scores_gemma":[0.9982348,0.0005339477,0.0005433728,0.0005863525,0.00002712853,0.00007441013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000107479,0.00002166631,0.03038677,0.000004456877,0.00003749178,1.420017e-7,0.00003158144,0.000003971912,0.000002035451,0.9545036,0.0006065186,0.01439103],"study_design_scores_gemma":[0.0007457402,0.0001021577,0.0252717,0.000008539839,0.000004026677,0.000001884139,0.0000849057,0.0009956376,0.0001357338,0.7818741,0.1904721,0.0003035415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5791327,0.006047476,0.06495958,0.01397565,0.002095087,0.0004405696,0.001528428,0.00009366243,0.3317268],"genre_scores_gemma":[0.992837,0.0005829207,0.0002077045,0.00006154471,0.00007099099,0.00001604789,0.000003297088,0.00001749617,0.00620304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137042,"threshold_uncertainty_score":0.7697896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123551008","doi":"10.3982/ecta9299","title":"Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model","year":2012,"lang":"en","type":"article","venue":"Econometrica","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":305,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Danmarks Grundforskningsfond; National Research Foundation","keywords":"Autoregressive model; Econometrics; Inference; Cointegration; Economics; Vector autoregression; STAR model; Maximum likelihood; Mathematics; Statistics; Computer science; Time series; Autoregressive integrated moving average; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0630206735509234,"gpt":0.2772347384131379,"spread":0.2142140648622146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006380823,0.0002257866,0.000503108,0.0007037628,0.000194996,0.00008006987,0.0002536235,0.0001803102,0.0003781418],"category_scores_gemma":[0.001349989,0.0002590363,0.0002245493,0.0005316226,0.00004150915,0.0007488611,0.00005337876,0.0002131932,0.000684135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592025,"about_ca_system_score_gemma":0.0000869307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009767954,"about_ca_topic_score_gemma":0.00001181238,"domain_scores_codex":[0.9981346,0.000008418404,0.0007310523,0.0004379602,0.00003926968,0.0006487171],"domain_scores_gemma":[0.9985985,0.0003002961,0.0004366417,0.0003272745,0.0001073434,0.0002299591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001358186,0.0008054869,0.2119904,0.00008389242,0.0001827367,6.363744e-7,0.001898901,0.003901049,0.00004187242,0.7636979,0.007250788,0.01001053],"study_design_scores_gemma":[0.001018602,0.0001461324,0.05883645,0.00002051534,0.00001792704,0.000001998573,0.00007000499,0.7762836,0.0001154187,0.09962042,0.06315023,0.0007187462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.275519,0.00669649,0.6872894,0.000699403,0.00149109,0.0007919912,0.001345537,0.0001870097,0.02598003],"genre_scores_gemma":[0.9847321,0.0001246975,0.0135131,0.0002373567,0.0003342869,0.0001571802,0.00006630646,0.00003844019,0.0007965157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7723825,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3199115473","doi":"10.3982/ecta14603","title":"What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":278,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Kurtosis; Earnings; Skewness; Economics; Econometrics; Percentile; Nonparametric statistics; Panel data; Distribution (mathematics); Statistics; Mathematics; Accounting","retraction":null,"screen_n_in":null,"score":{"opus":0.04133422580063242,"gpt":0.2437742070355905,"spread":0.2024399812349581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008259916,0.0002408459,0.0007802725,0.0007572457,0.0001324068,0.0002680458,0.0008656983,0.0001660244,0.002086151],"category_scores_gemma":[0.0005438471,0.0003072805,0.0002097872,0.001017981,0.000116251,0.001012453,0.0004880083,0.0002708268,0.001039202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246531,"about_ca_system_score_gemma":0.00007090999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198655,"about_ca_topic_score_gemma":0.00003489542,"domain_scores_codex":[0.9973863,0.00002734052,0.001093694,0.001000786,0.00003888132,0.0004529966],"domain_scores_gemma":[0.9969034,0.0003263183,0.0007143487,0.001811782,0.00005176726,0.0001923864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000758712,0.000537453,0.1737565,0.0001080143,0.0005254122,0.00002136994,0.0007038998,0.001983454,0.000005423809,0.7725135,0.01878362,0.03098545],"study_design_scores_gemma":[0.003183664,0.0004509203,0.1345,0.0004058552,0.00006944908,0.00003154585,0.004206127,0.01786563,0.0002429879,0.1176222,0.7193407,0.002080837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051641,0.02788821,0.002254236,0.004255294,0.004184254,0.0003904762,0.003153056,0.00009377017,0.1526166],"genre_scores_gemma":[0.9835353,0.006211102,0.001302079,0.0003854912,0.0001991359,0.00001529048,0.0004050594,0.0000580657,0.007888502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7005571,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125702173","doi":"10.3982/ecta16598","title":"Misallocation, Selection, and Productivity: A Quantitative Analysis With Panel Data From China","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":268,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; York University","funders":"University of British Columbia; Hong Kong University of Science and Technology; Banca d'Italia; Ohio State University; Canada Research Chairs; Duke University; European Environment Agency; Cornell University; National Bureau of Economic Research; McMaster University; Social Sciences and Humanities Research Council of Canada; National University of Singapore; Bank of Canada; Einaudi Institute for Economics and Finance; McGill University; Universitat de Barcelona; International Myeloma Foundation","keywords":"Productivity; Agriculture; Panel data; Economics; China; Selection (genetic algorithm); Capital (architecture); Agricultural productivity; Agricultural economics; Natural resource economics; Labour economics; Economic growth; Econometrics; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.05136371950104268,"gpt":0.2306271864871826,"spread":0.1792634669861399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001671469,0.00006691843,0.0001419775,0.00006953209,0.0004432683,0.00005187171,0.0001957576,0.00001446496,0.0009725055],"category_scores_gemma":[0.00001921875,0.00001373964,0.00002118391,0.002360997,0.00002720008,0.0001734633,0.0001315292,0.00007256668,0.000004881747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000198809,"about_ca_system_score_gemma":0.000008218824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544509,"about_ca_topic_score_gemma":0.002725322,"domain_scores_codex":[0.999299,0.00003677736,0.00009857844,0.0003747006,0.00008881287,0.0001021404],"domain_scores_gemma":[0.999703,0.00007333775,0.00007763037,0.00008073602,0.00002035058,0.00004496846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001632309,0.0006437161,0.8719195,0.000005962934,0.001701344,0.000004635109,0.0009710789,0.000687376,0.001059748,0.0005409081,0.002232401,0.1200701],"study_design_scores_gemma":[0.00007592531,0.0002352086,0.8970906,4.409261e-7,0.00008514091,0.000002908968,0.0002593523,0.00227955,0.00001892545,0.000297327,0.09954938,0.0001052839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961621,0.0001871707,0.00003630671,0.002892788,0.00003430785,0.00009838312,0.0003248796,0.0000247207,0.0002393545],"genre_scores_gemma":[0.9978725,0.00004408259,0.0002068837,0.000027244,0.00007514169,0.00001233355,0.0007265424,5.291369e-7,0.001034722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199648,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101177046","doi":"10.3982/ecta11237","title":"How Is Power Shared in Africa?","year":2015,"lang":"en","type":"article","venue":"Econometrica","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":245,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"","keywords":"Power (physics); Environmental science; Economics; Physics; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.1060627794832337,"gpt":0.3058824683980937,"spread":0.19981968891486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092374,0.00005590741,0.0001187504,0.000201874,0.00004705969,0.0001389778,0.0002283515,0.00006135047,0.0006151633],"category_scores_gemma":[0.001468981,0.00005692697,0.0000372322,0.001018058,0.00008120359,0.0003207595,0.00003546951,0.00007507117,0.0003656464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083544,"about_ca_system_score_gemma":0.0001255517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009053964,"about_ca_topic_score_gemma":0.0002139098,"domain_scores_codex":[0.9991866,0.00003337065,0.0000968231,0.0001515899,0.0001603713,0.0003712308],"domain_scores_gemma":[0.9994297,0.0001058224,0.00004093785,0.0001201885,0.00003922187,0.0002641497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002084475,0.0001905282,0.07643281,0.000005260553,0.00002081556,0.00002336295,0.07025461,7.802345e-7,0.000003345775,0.5876555,0.2586977,0.006694477],"study_design_scores_gemma":[0.0001806752,0.00002061437,0.01840698,0.000001916815,9.4927e-7,7.596251e-8,0.001337937,0.000006826063,0.0000079749,0.00484567,0.9751042,0.00008615564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03302455,0.0007640853,0.00001611617,0.02018302,0.0002237087,0.00008734118,0.00002534672,0.00003211487,0.9456437],"genre_scores_gemma":[0.9580266,0.00001854248,0.00008058579,0.0005706172,0.00009502168,0.000007008597,5.70021e-7,0.000004444636,0.04119665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.925002,"threshold_uncertainty_score":0.6735607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890993177","doi":"10.3982/ecta8963","title":"The Economics of Labor Coercion","year":2011,"lang":"en","type":"article","venue":"Econometrica","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":245,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Public Safety Research and Treatment; Canadian Institute for Advanced Research","funders":"","keywords":"Coercion (linguistics); Economics; Scarcity; General equilibrium theory; Complementarity (molecular biology); Labour economics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.07639056871354977,"gpt":0.2633670120338441,"spread":0.1869764433202943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000492016,0.0000605617,0.0001369978,0.0001088038,0.0005129623,0.00002909505,0.0002366607,0.00004031341,0.0003988285],"category_scores_gemma":[0.0002116573,0.00004690573,0.00005352909,0.0003347144,0.0002381756,0.0001306772,0.00004692934,0.00004054878,0.0001352474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085984,"about_ca_system_score_gemma":0.00008325555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137164,"about_ca_topic_score_gemma":0.001262205,"domain_scores_codex":[0.9993935,0.00002720006,0.0002300122,0.0001234482,0.00003477419,0.0001910754],"domain_scores_gemma":[0.9994345,0.0001910889,0.0001441194,0.0001219082,0.00005285527,0.00005556477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002731118,0.0001051558,0.2372086,0.000007021085,0.0001606641,4.976695e-7,0.03929693,0.000001256821,7.279719e-7,0.6566511,0.01999196,0.04654885],"study_design_scores_gemma":[0.0001125012,0.00002526758,0.1194432,0.000001615584,0.000005750988,1.002369e-7,0.009476066,0.000001792419,0.00006330416,0.006732319,0.8640423,0.00009581182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1660642,0.001233821,0.00001047601,0.001067907,0.0005057217,0.000149418,0.00001065216,0.00002698917,0.8309308],"genre_scores_gemma":[0.9888275,0.005831716,0.0003477282,0.0001271183,0.0001051556,0.00001528784,0.000001142931,0.000004762177,0.004739556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8440503,"threshold_uncertainty_score":0.4366892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123166147","doi":"10.1111/j.1468-0262.2004.00549.x","title":"Large Robust Games","year":2004,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":200,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Variety (cybernetics); Mathematical economics; Economics; Complete information; Differential game; Differential (mechanical device); Computer science; Microeconomics; Mathematics; Mathematical optimization; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1242339825993704,"gpt":0.3608852538945073,"spread":0.2366512712951369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009989395,0.00006077952,0.0001240083,0.0005883574,0.0001830924,0.0001226484,0.0004305581,0.00003546518,0.00529394],"category_scores_gemma":[0.001152397,0.00004870479,0.00008010435,0.002432716,0.00004701358,0.0002473343,0.00006490294,0.00006773773,0.01108713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004016406,"about_ca_system_score_gemma":0.0000300636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002466508,"about_ca_topic_score_gemma":0.000003144444,"domain_scores_codex":[0.9990314,0.00002513185,0.0003023523,0.0002887559,0.0001909245,0.0001614987],"domain_scores_gemma":[0.9989111,0.0003729762,0.0001207214,0.0004387448,0.00006073554,0.00009565282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000617975,0.0002208914,0.003138341,7.568204e-7,0.00001317773,0.00000170903,0.0004009997,0.005213865,0.00002469025,0.9501931,0.01506684,0.02571942],"study_design_scores_gemma":[0.0002897599,0.00002036117,0.01017993,8.821816e-7,0.000002463534,0.000005004275,0.0006395238,0.00007074689,0.0005156261,0.3301381,0.658039,0.00009864035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2809943,0.0003165555,0.4129753,0.009468327,0.0005888203,0.0002464649,0.00007369075,0.0001757359,0.2951608],"genre_scores_gemma":[0.9912848,0.000009907923,0.001613163,0.0003946997,0.0001010689,0.00001690152,0.000002233194,0.000004856061,0.006572323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7102906,"threshold_uncertainty_score":0.9956154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099454371","doi":"10.1111/j.1468-0262.2005.00618.x","title":"Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments","year":2005,"lang":"en","type":"article","venue":"Econometrica","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Projection (relational algebra); Mathematics; Confidence interval; Confidence region; Inference; Bounded function; Applied mathematics; Confidence distribution; Ellipsoid; Set (abstract data type); Least-squares function approximation; Algorithm; Computer science; Statistics; Mathematical analysis; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1084864840736044,"gpt":0.4065554161065221,"spread":0.2980689320329177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210644,0.0001959795,0.0003473345,0.0003780044,0.0000687861,0.0000369049,0.0001434326,0.00007309562,0.0002378113],"category_scores_gemma":[0.001076418,0.0001584215,0.00002914932,0.0006909452,0.0000825629,0.0003158767,0.00003342668,0.0002448154,0.00001782596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879079,"about_ca_system_score_gemma":0.0001236709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003723567,"about_ca_topic_score_gemma":0.00007266495,"domain_scores_codex":[0.9985786,0.00006844785,0.0004410096,0.0003741042,0.0001781327,0.0003597165],"domain_scores_gemma":[0.997878,0.001551835,0.0001265987,0.0002356184,0.0000626424,0.0001453721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002518694,0.000326561,0.006263321,0.0001105364,0.00004395144,0.00001022384,0.0002506742,0.0317984,0.000008799258,0.6406913,0.00009593683,0.3201484],"study_design_scores_gemma":[0.0009332208,0.0001989534,0.001373354,0.00002293295,0.00001138427,0.000002172962,0.0000295005,0.7186452,0.00005111118,0.2782987,0.0002151377,0.0002183242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06772635,0.00001414535,0.9275865,0.0001393273,0.00005833286,0.0003329817,0.0001147896,0.00005543618,0.003972145],"genre_scores_gemma":[0.4871665,0.000002505642,0.5125982,0.00004693629,0.00002953766,0.00002978197,0.000006994342,0.0000151016,0.0001045466],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6868468,"threshold_uncertainty_score":0.6460242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1964030389","doi":"10.1111/1468-0262.00245","title":"Common Agency and the Revelation Principle","year":2001,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Revelation; Agency (philosophy); Economics; Philosophy; Mathematical economics; Law and economics; Epistemology; Theology","retraction":null,"screen_n_in":null,"score":{"opus":0.1186256190117654,"gpt":0.3887996709237933,"spread":0.2701740519120279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001998137,0.00004358724,0.0001076758,0.0002333169,0.0002774966,0.0001052817,0.0002518095,0.00002358714,0.001411917],"category_scores_gemma":[0.00110346,0.0000258487,0.00003908746,0.001506196,0.0001292013,0.0001807232,0.00006358876,0.00005896982,0.0008792042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214248,"about_ca_system_score_gemma":0.000007577454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005732119,"about_ca_topic_score_gemma":0.000003098087,"domain_scores_codex":[0.9992189,0.000103644,0.0002899558,0.000178362,0.0001327097,0.00007636201],"domain_scores_gemma":[0.9979943,0.001429843,0.0001484693,0.0003464842,0.00003764416,0.00004326535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003442568,0.00003048485,0.03957687,4.696385e-7,0.000008321834,4.421842e-7,0.0004322188,0.00008820176,0.00000494331,0.6975648,0.003314465,0.2589443],"study_design_scores_gemma":[0.0002480952,0.000007516366,0.1522792,4.47962e-7,0.000003147815,0.000008575684,0.00008697785,0.001022977,0.00001117823,0.3690482,0.4772413,0.00004240693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650347,0.0004740156,0.02185818,0.009807079,0.0001635467,0.0002958404,0.000005953986,0.00003835421,0.2023223],"genre_scores_gemma":[0.9889565,0.00008107036,0.0001942627,0.0002344106,0.00005785404,0.00002129982,0.000001162829,0.000002494728,0.01045091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739268,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2995446122","doi":"10.3982/ecta16863","title":"State Capacity, Reciprocity, and the Social Contract","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":173,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Social contract; Reciprocity (cultural anthropology); State (computer science); Public good; Politics; Reciprocal; Materialism; Tax revenue; Government (linguistics); Civic culture; Political culture; Revenue; Compliance (psychology); Law and economics; Economics; Social security; Public economics; Political economy; Political science; Market economy; Microeconomics; Democracy; Sociology; Finance; Law; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.08023002067472605,"gpt":0.2893585084335227,"spread":0.2091284877587967,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006038604,0.00008841584,0.00024322,0.00005648422,0.00117045,0.0001742174,0.0001724331,0.00004217266,0.0002847394],"category_scores_gemma":[0.0006335589,0.00006578147,0.00006307289,0.0004702455,0.000558844,0.0001719071,0.00009303525,0.0001165205,0.0001075595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005527044,"about_ca_system_score_gemma":0.00005357228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006979952,"about_ca_topic_score_gemma":0.0005870541,"domain_scores_codex":[0.9991775,0.00008841576,0.0001955608,0.0002018233,0.0001001132,0.0002366213],"domain_scores_gemma":[0.9993499,0.000348062,0.0001072678,0.00004309054,0.00004120011,0.0001104828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716523,0.00006993458,0.1121884,0.00002969772,0.0004305745,0.000004100774,0.486697,0.000001944035,0.000002288719,0.2505306,0.09320053,0.05667323],"study_design_scores_gemma":[0.001296922,0.00002155565,0.08419772,0.000001667222,0.00001727829,3.381562e-7,0.009652973,0.00001672311,0.000007185206,0.009375256,0.8951973,0.0002150861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2871876,0.001255716,0.00007998697,0.1151092,0.0002888509,0.0005607125,0.00003458765,0.0001199173,0.5953634],"genre_scores_gemma":[0.9944153,0.0009381513,0.00008793315,0.003320629,0.0003893891,0.00002014487,0.000001269142,0.000004992655,0.0008221313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8019968,"threshold_uncertainty_score":0.900227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2974211056","doi":"10.3982/ecta16410","title":"Leave‐Out Estimation of Variance Components","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Homoscedasticity; Estimator; Heteroscedasticity; Mathematics; Asymptotic distribution; Econometrics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.06144066291976715,"gpt":0.234354030321351,"spread":0.1729133674015838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004216774,0.0001321412,0.0004844401,0.0002754686,0.00004654579,0.00004228044,0.0002956842,0.00007598458,0.0007442855],"category_scores_gemma":[0.0005504542,0.0001632063,0.0001208339,0.0007874913,0.00004443675,0.0002380638,0.00008216635,0.0001147478,0.0007088769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006334236,"about_ca_system_score_gemma":0.00001350138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007290176,"about_ca_topic_score_gemma":0.000001365433,"domain_scores_codex":[0.9985349,0.00001698112,0.0008240669,0.0003794332,0.00003619548,0.0002084916],"domain_scores_gemma":[0.9988898,0.0001090858,0.0005520884,0.000282078,0.00003120923,0.0001357605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005544664,0.000231164,0.0975761,0.0001693673,0.0001462905,0.000004407666,0.0008610534,0.002868933,0.00005309643,0.8902762,0.0008177496,0.006940186],"study_design_scores_gemma":[0.00242883,0.0003761832,0.2949737,0.00002792802,0.00002253819,0.000001997944,0.00005963118,0.4062884,0.0002935158,0.2090277,0.08543379,0.001065825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499791,0.001341996,0.1329769,0.004930061,0.0008023421,0.0003955928,0.001010677,0.000103275,0.10846],"genre_scores_gemma":[0.9958311,0.00008862089,0.003212318,0.0005321305,0.00007990042,0.000008199266,0.00004269251,0.000019207,0.0001858626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6812485,"threshold_uncertainty_score":0.9111415,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2912290321","doi":"10.3982/ecta17018","title":"Intergenerational Mobility in Africa","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; London Business School","keywords":"Geography; Destinations; Economic geography; Demographic economics; Literacy; Census; Educational attainment; Independence (probability theory); Internal migration; Development economics; Economic growth; Demography; Developing country; Sociology; Population; Economics; Tourism","retraction":null,"screen_n_in":null,"score":{"opus":0.1255204742207523,"gpt":0.3559676972537762,"spread":0.2304472230330239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005194289,0.00004764616,0.00009346592,0.0001637872,0.0002017987,0.00004639866,0.0000829104,0.00003318769,0.003739942],"category_scores_gemma":[0.001152682,0.00005207212,0.00004745334,0.0008510333,0.00006093006,0.0001400946,0.00003355064,0.00005732619,0.0001637012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216764,"about_ca_system_score_gemma":0.0003296159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003323513,"about_ca_topic_score_gemma":0.003402494,"domain_scores_codex":[0.9991996,0.0001122519,0.0002131102,0.0001764698,0.0001289616,0.0001696298],"domain_scores_gemma":[0.999444,0.0002241522,0.0000303117,0.00007536918,0.0001738588,0.00005231696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006653488,0.0006553828,0.06090197,0.000006534787,0.00003427298,0.000004601046,0.0124277,0.0002237315,0.00006214635,0.8693762,0.05419295,0.002107848],"study_design_scores_gemma":[0.0001189299,0.0000110156,0.09638166,0.00000415417,0.000002507245,5.562669e-7,0.004445909,0.0000904536,0.0002217493,0.0207483,0.8778257,0.0001490094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4423262,0.001471245,0.0002409755,0.03379931,0.001585275,0.0001111486,0.0000291257,0.00003204055,0.5204047],"genre_scores_gemma":[0.9848215,0.00009137925,0.0007145006,0.0003381419,0.000432395,0.00003668578,0.00002278919,0.000002507887,0.0135401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8486279,"threshold_uncertainty_score":0.9971707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101216171","doi":"10.3982/ecta5971","title":"Bootstrapping Realized Volatility","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":163,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Stochastic volatility; Volatility (finance); Bootstrapping (finance); Logarithm; Mathematics; Independent and identically distributed random variables; Applied mathematics; Asymptotic expansion; Leverage (statistics); Nonlinear system; Econometrics; Random variable; Statistics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.1139230895849249,"gpt":0.2229530161953859,"spread":0.109029926610461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005754068,0.0001976067,0.0005788408,0.0007637775,0.0003164369,0.00003904858,0.0002917693,0.0001412238,0.001172163],"category_scores_gemma":[0.0005239639,0.0002516568,0.0002302652,0.001076953,0.00009852658,0.0003924535,0.00007030679,0.0002211234,0.001218291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533809,"about_ca_system_score_gemma":0.00003828638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005307053,"about_ca_topic_score_gemma":0.00001040885,"domain_scores_codex":[0.9979274,0.00001444581,0.0009498794,0.0006187616,0.0000405422,0.0004490168],"domain_scores_gemma":[0.9988451,0.0001040393,0.0003211296,0.0005342076,0.00003779279,0.0001577333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005115717,0.0002490029,0.8871935,0.0000377362,0.00007647749,0.00001688163,0.0009604639,0.0002421672,0.00001092298,0.1034838,0.004476701,0.003201231],"study_design_scores_gemma":[0.001274351,0.000115543,0.5788528,0.00001124558,0.000006139975,0.00002089116,0.00003982206,0.08501323,0.00006089749,0.05810907,0.2757126,0.0007834047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250079,0.00363186,0.03222634,0.0003208959,0.0004886893,0.0002402614,0.0001231474,0.0001624386,0.1377984],"genre_scores_gemma":[0.996336,0.0005202172,0.001325705,0.00017743,0.0001643696,0.00002190473,0.00001817334,0.00002712427,0.001409083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3083406,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051815814","doi":"10.1111/1468-0262.00264","title":"Household Gasoline Demand in Canada","year":2001,"lang":"en","type":"article","venue":"Econometrica","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":147,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Gasoline; Economics; Agricultural economics; Natural resource economics; Engineering; Waste management","retraction":null,"screen_n_in":null,"score":{"opus":0.01607425612884171,"gpt":0.1921729963311529,"spread":0.1760987402023112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005509602,0.00009659818,0.0001527118,0.0003111794,0.0000309917,0.000009728403,0.0001066361,0.0000301545,0.0009583473],"category_scores_gemma":[0.00001674339,0.0001017816,0.00002915731,0.0005872084,0.00001679042,0.00007941575,0.000007551168,0.00006516615,0.0000363088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002685266,"about_ca_system_score_gemma":0.00008149393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9311125,"about_ca_topic_score_gemma":0.9778565,"domain_scores_codex":[0.9992456,0.00001260696,0.0002489846,0.0001681495,0.00007909889,0.0002455181],"domain_scores_gemma":[0.999623,0.0000516333,0.00005484844,0.0001749561,0.000003422561,0.00009212826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001372044,0.00008754369,0.7784287,0.000007622529,0.00003416282,0.00008407621,0.000100231,0.2046223,0.00002833178,0.009034758,0.001539338,0.006019224],"study_design_scores_gemma":[0.000368164,0.00001040753,0.7411056,0.000002302652,0.000004413041,0.000002743569,0.00004946691,0.0002219392,0.0001860563,0.0002198417,0.2577036,0.0001254771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273734,0.0003975944,0.00004558568,0.0002953895,0.0001094819,0.00003456547,0.00001578647,0.00002156403,0.07170663],"genre_scores_gemma":[0.9966108,0.0008142036,0.00006557083,0.0006512736,0.00006167856,0.00001214841,0.00002549109,0.000017213,0.001741587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561643,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184086592","doi":"10.3982/ecta17674","title":"TV Advertising Effectiveness and Profitability: Generalizable Results From 288 Brands","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Advertising; Margin (machine learning); Schedule; Econometrics; Investment (military); Distribution (mathematics); Economics; Gross margin; Return on investment; Business; Mathematics; Computer science; Microeconomics; Production (economics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02118565695341809,"gpt":0.2322784884996071,"spread":0.211092831546189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005699577,0.0001599448,0.0002926041,0.0003720652,0.0001927352,0.000427,0.0001104055,0.00006571086,0.000622767],"category_scores_gemma":[0.0006643823,0.0001672633,0.00007148196,0.00123737,0.00003496631,0.0007986201,0.0002523889,0.0001099919,0.0000724732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744421,"about_ca_system_score_gemma":0.00002712709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632321,"about_ca_topic_score_gemma":0.00009077885,"domain_scores_codex":[0.9987712,0.00003643272,0.0003092041,0.0005281387,0.0001008187,0.0002542297],"domain_scores_gemma":[0.9989788,0.0004585033,0.0001175094,0.0003195075,0.0001022331,0.00002344655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001741403,0.0000987658,0.8175578,0.0001626559,0.00006259039,0.00003895663,0.00005258348,0.00002948299,0.000959198,0.0003685154,0.000725429,0.1797699],"study_design_scores_gemma":[0.001564359,0.000005603736,0.9446921,0.00005096773,0.00009288902,0.000002527684,0.00005652814,0.001147099,0.0006256109,0.001090255,0.05037405,0.0002979616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724708,0.001429014,0.000276328,0.0003456832,0.0004286265,0.0001666682,0.00002321473,0.0000856208,0.02477406],"genre_scores_gemma":[0.9986395,0.00004605688,0.0003290844,0.0002831445,0.0003270677,0.00001493318,0.00008910181,0.00002162883,0.0002495373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1794719,"threshold_uncertainty_score":0.6820799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317829884","doi":"10.3982/ecta19039","title":"Misallocation and Capital Market Integration: Evidence From India","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Los Angeles; Toulouse School of Economics; University of Toronto; Business School, Hebrew University of Jerusalem; Dartmouth College; Institut Européen d'Administration des Affaires; New York University; National Bureau of Economic Research; Canadian Institute for Advanced Research; Centre for Economic Policy Research; Columbia University; University of California, San Diego; International Growth Centre; Collaborative Research in Engineering, Science and Technology Centre; Stanford University; World Bank Group; National Science Foundation","keywords":"Solow residual; Economics; Monetary economics; Liberalization; Capital (architecture); Marginal revenue; Productivity; Revenue; International economics; Physical capital; Capital intensity; Total factor productivity; Labour economics; Macroeconomics; Growth accounting; Human capital; Market economy; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.08112928418556671,"gpt":0.2225516306331435,"spread":0.1414223464475768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004775052,0.0001606521,0.0003365883,0.0007798037,0.0001000562,0.0001917382,0.0002405597,0.0001181539,0.00148656],"category_scores_gemma":[0.000447439,0.0002019321,0.00007906755,0.001010427,0.00005450916,0.0006765127,0.00009148315,0.0001238644,0.006416211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310087,"about_ca_system_score_gemma":0.00001612267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004258228,"about_ca_topic_score_gemma":0.00003060458,"domain_scores_codex":[0.9985617,0.00001156949,0.000563644,0.00054735,0.00002325228,0.0002924333],"domain_scores_gemma":[0.9989906,0.0002960536,0.0002364597,0.0003217786,0.00001596391,0.0001391614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004331306,0.00008612624,0.8478671,0.00004039784,0.000194106,0.00001305045,0.002226338,0.00008149107,0.00002967155,0.07427393,0.05642366,0.01872087],"study_design_scores_gemma":[0.0003217372,0.00005859223,0.9231508,0.00002020612,0.000006308461,0.000002613049,0.0002877726,0.005237884,0.00004819671,0.0364105,0.03412628,0.0003290639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524947,0.00428195,0.0003727243,0.00173957,0.0007272175,0.0001926683,0.0003166011,0.0001334918,0.03974111],"genre_scores_gemma":[0.9945846,0.002747376,0.0006531139,0.0002411159,0.0001870213,0.0000326986,0.00007917829,0.00002132443,0.001453634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07528379,"threshold_uncertainty_score":0.9994262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125648671","doi":"10.3982/ecta9240","title":"Estimation of Jump Tails","year":2011,"lang":"en","type":"article","venue":"Econometrica","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":135,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Jump; Estimation; Econometrics; Economics; Statistics; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.05661908141956747,"gpt":0.215399756156899,"spread":0.1587806747373316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001850316,0.00008781637,0.0002764699,0.0005538629,0.00004901064,0.00001077252,0.0002218185,0.00006189745,0.0008010088],"category_scores_gemma":[0.0002123582,0.0001074132,0.00008100783,0.000968294,0.00005265267,0.0001686784,0.00003827993,0.00005680782,0.001182426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003516663,"about_ca_system_score_gemma":0.00001485831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770465,"about_ca_topic_score_gemma":0.00000192146,"domain_scores_codex":[0.9990185,0.00000106195,0.0005529886,0.0002470924,0.00001661382,0.0001636756],"domain_scores_gemma":[0.9992133,0.00003943054,0.000388726,0.0002737138,0.00002613966,0.00005863801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004554036,0.00009676209,0.003269371,0.00001592892,0.00001479433,1.971113e-7,0.0002325382,0.00001551941,0.000001733606,0.9845136,0.0001230706,0.01171192],"study_design_scores_gemma":[0.000309419,0.0001172254,0.09147307,0.00000640761,0.000007298238,0.000002165996,0.00003652623,0.004190505,0.0004352619,0.8957416,0.007437335,0.0002431293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02190546,0.001184651,0.7989275,0.00007641677,0.000177064,0.0001731714,0.000112202,0.00003820164,0.1774053],"genre_scores_gemma":[0.9839902,0.00003390034,0.0156475,0.00004906007,0.00003377593,0.00005075718,0.000008112401,0.00001252444,0.0001741784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9620847,"threshold_uncertainty_score":0.9995953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114861062","doi":"10.1111/j.1468-0262.2007.00735.x","title":"Dynamic Matching, Two-Sided Incomplete Information, and Participation Costs: Existence and Convergence to Perfect Competition","year":2007,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Matching (statistics); Convergence (economics); Competition (biology); Mathematical economics; Complete information; Economics; Mathematics; Mathematical optimization; Microeconomics; Econometrics; Statistics; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.04533138840328562,"gpt":0.3719348636986422,"spread":0.3266034752953566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224506,0.00009259492,0.0001562757,0.000746573,0.000300386,0.0001697518,0.0001818418,0.00003156652,0.0004388593],"category_scores_gemma":[0.001291502,0.00008520758,0.00002395547,0.00144607,0.0001052851,0.0008936676,0.00009476593,0.00007212607,0.0006443464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008029714,"about_ca_system_score_gemma":0.00001601287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000053771,"about_ca_topic_score_gemma":0.00008882178,"domain_scores_codex":[0.9987122,0.00005775271,0.0005821879,0.0002561958,0.0002200866,0.0001715271],"domain_scores_gemma":[0.9979361,0.001227019,0.0002381454,0.0002526895,0.0001544569,0.0001916408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001164587,0.00008692303,0.05876939,0.00001590027,0.00002424625,0.000001348614,0.004001668,0.0006249241,0.000645306,0.6344427,0.0007000905,0.3005711],"study_design_scores_gemma":[0.0006598117,0.0001723958,0.8056038,0.00002032889,0.00001414989,0.00002885305,0.00339138,0.009040687,0.00045376,0.1274376,0.05279975,0.0003774554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7982089,0.00004024261,0.1959255,0.0007152079,0.0001097814,0.0002212774,0.00002661248,0.00003219036,0.004720314],"genre_scores_gemma":[0.9959065,0.00002012505,0.003292349,0.0005617712,0.00001867381,0.00002623505,0.00001489061,0.000003595363,0.0001558389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7468344,"threshold_uncertainty_score":0.8281984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385364884","doi":"10.3982/ecta20355","title":"Ideology and Performance in Public Organizations","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Ideology; Procurement; Bureaucracy; Presidential system; Politics; Presidential election; Public administration; Civil service; Public service; Service (business); Political economy; Political science; Economics; Public relations; Law; Management; Economy","retraction":null,"screen_n_in":null,"score":{"opus":0.02993497358085778,"gpt":0.2199618528155032,"spread":0.1900268792346455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002320824,0.00006312788,0.00009274424,0.002389556,0.00008146367,0.0001627393,0.0001322788,0.0000339406,0.0004963653],"category_scores_gemma":[0.0004265342,0.00006466703,0.000009110713,0.006764617,0.00002463611,0.001081527,0.000164518,0.00005524006,0.001554498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001915284,"about_ca_system_score_gemma":0.00001798778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004598774,"about_ca_topic_score_gemma":0.00002884609,"domain_scores_codex":[0.9994466,0.000002399441,0.0001388454,0.0001404914,0.00004164388,0.0002300329],"domain_scores_gemma":[0.9997699,0.00003126844,0.0000540229,0.00009160895,0.00004282231,0.00001037271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.736303e-7,0.00001258267,0.9279293,0.0000225317,0.000004301699,8.42553e-7,0.00001724505,0.000003893661,0.000001945223,0.05791408,0.006670819,0.007421617],"study_design_scores_gemma":[0.0001859001,0.000003478915,0.6836859,0.000001546429,0.000001897901,3.684207e-7,0.0000175219,0.00271656,0.000001160529,0.001561325,0.3117499,0.00007446075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643007,0.00005751113,0.00001289329,0.009622504,0.0001851689,0.00008946626,9.922535e-7,0.0001569845,0.1255738],"genre_scores_gemma":[0.9975463,0.00006148457,0.00001359209,0.001190767,0.0002826944,0.00001394569,0.00003250474,0.00000974816,0.0008489352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3050791,"threshold_uncertainty_score":0.9992229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2925044727","doi":"10.3982/ecta15668","title":"The Interval Structure of Optimal Disclosure","year":2019,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Communication source; Interval (graph theory); Stochastic game; Quality (philosophy); Monopoly; Computer science; Type (biology); Simple (philosophy); Private information retrieval; Mathematical economics; Complete information; Mathematical optimization; Outcome (game theory); Mathematics; Microeconomics; Economics; Computer network; Computer security; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.03841543244631886,"gpt":0.3349075641351322,"spread":0.2964921316888134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005941733,0.00005255724,0.0001318003,0.0001982225,0.0001075717,0.00008341362,0.0006732513,0.00003162606,0.003720778],"category_scores_gemma":[0.0005950017,0.00002878475,0.00008972724,0.001217277,0.00009189541,0.0001380286,0.00009626707,0.00008109413,0.0009201028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001145585,"about_ca_system_score_gemma":0.00001731176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000147334,"about_ca_topic_score_gemma":0.000001673206,"domain_scores_codex":[0.9991181,0.00005158787,0.0003461849,0.0001904179,0.0001966453,0.00009710283],"domain_scores_gemma":[0.9978738,0.001259621,0.0002236779,0.0005288603,0.0000752277,0.0000388018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001020156,0.0001015648,0.09633562,0.000005794784,0.00009719544,3.184247e-7,0.001027653,0.003338597,0.001769044,0.639163,0.02887875,0.2291804],"study_design_scores_gemma":[0.0003015158,0.0001297957,0.103592,0.000002958121,0.00000818911,0.000006386785,0.002380931,0.001131589,0.004207875,0.1605001,0.7275736,0.0001651382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811585,0.0001232485,0.001719439,0.001173667,0.0003550417,0.0001220522,0.0000449132,0.00001026389,0.01529287],"genre_scores_gemma":[0.9926431,0.000004859935,0.0002343854,0.00003557464,0.00004659059,0.0000023114,0.00000129211,0.000003404604,0.007028448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6986948,"threshold_uncertainty_score":0.9998578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323337413","doi":"10.3982/ecta18627","title":"Optimal Monetary Policy in Production Networks","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Upstream (networking); Monetary policy; Production (economics); Welfare; Index (typography); Downstream (manufacturing); Monetary economics; Microeconomics; Price index; Computer science; Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.02037348842057379,"gpt":0.2007985073939909,"spread":0.1804250189734171,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008798671,0.0001622518,0.0004281393,0.001870187,0.0002104218,0.00004854035,0.0003605628,0.00005548853,0.002251749],"category_scores_gemma":[0.0001183704,0.0002335554,0.0001258842,0.001602688,0.00004401557,0.0003102549,0.0002659232,0.0003261985,0.0002416006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652265,"about_ca_system_score_gemma":0.00003312793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007171809,"about_ca_topic_score_gemma":0.00001726204,"domain_scores_codex":[0.9981182,0.00002550885,0.0007488637,0.0006231213,0.00002224108,0.0004620767],"domain_scores_gemma":[0.9991046,0.00004960345,0.0003147797,0.0004328769,0.000006451306,0.00009175258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004243599,0.000177473,0.04314294,0.00000694819,0.00003952998,0.000005452454,0.000392358,0.631127,8.968482e-7,0.3192983,0.003050191,0.002716469],"study_design_scores_gemma":[0.002044888,0.0004653475,0.08624128,0.000005825955,0.000007966218,0.00005988797,0.0008326833,0.1346368,0.00001827211,0.09654932,0.677697,0.001440733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098135,0.006827191,0.00245638,0.004051367,0.002061593,0.0005096464,0.0001981379,0.00009446264,0.07398768],"genre_scores_gemma":[0.9944844,0.0003328083,0.000487065,0.0003656233,0.0004334165,0.0001569324,0.00004125083,0.00003561821,0.003662843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746468,"threshold_uncertainty_score":0.9986603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140031867","doi":"10.3982/ecta7168","title":"Characterization of Revenue Equivalence","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Equivalence (formal languages); Incentive compatibility; Revenue; Mathematical economics; Characterization (materials science); Payment; Compatibility (geochemistry); Mathematics; Economics; Incentive; Computer science; Microeconomics; Discrete mathematics; Finance; Engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.1992302834340899,"gpt":0.3636046827976365,"spread":0.1643743993635467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005406057,0.00003814535,0.0001176139,0.0004085677,0.0001019334,0.00001146263,0.0003016472,0.00002397423,0.001498716],"category_scores_gemma":[0.0008899315,0.00003330393,0.00004874454,0.001878977,0.00009264362,0.0002137098,0.00003692717,0.0000342169,0.0009368696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001051666,"about_ca_system_score_gemma":0.00002139153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001587064,"about_ca_topic_score_gemma":1.670041e-7,"domain_scores_codex":[0.9992073,0.00003987488,0.0003436279,0.0001696704,0.0001705547,0.00006901872],"domain_scores_gemma":[0.9989732,0.0003096591,0.0002609973,0.0003222033,0.0000929598,0.00004097322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008667073,0.0008080041,0.1943482,0.00001953646,0.00005983253,0.000008038388,0.003720471,0.000237587,0.1882096,0.2286699,0.02556879,0.3582634],"study_design_scores_gemma":[0.0002140202,0.00006787483,0.5769631,0.000004826765,0.000004812609,0.00002747722,0.00009900761,0.0002425197,0.03471933,0.04505417,0.3424296,0.0001731672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680444,0.00002350256,0.02249353,0.000388734,0.0001157276,0.00006812894,0.00006093525,0.00001194814,0.008793086],"genre_scores_gemma":[0.9916419,0.00004150396,0.0002618993,0.00005753657,0.00005218871,0.000008578311,0.000004166006,0.00000274944,0.007929524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3826149,"threshold_uncertainty_score":0.999841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2584021072","doi":"10.3982/ecta15020","title":"Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Excludability; Distribution (mathematics); Incentive; Productivity; Industrial organization; Endogenous growth theory; Economics; Frontier; Diffusion; Microeconomics; Business; Public good; Macroeconomics; Market economy; Mathematics; Human capital","retraction":null,"screen_n_in":null,"score":{"opus":0.03139789342856561,"gpt":0.1951637637830578,"spread":0.1637658703544922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009298597,0.0001024194,0.0004074497,0.0005248261,0.0001218861,0.00001340302,0.0001136045,0.0001063777,0.00004762977],"category_scores_gemma":[0.001116093,0.0001021566,0.00004158429,0.002111251,0.0002258542,0.0002716671,0.000268433,0.0001369574,0.00000183527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005289109,"about_ca_system_score_gemma":0.00004327295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406418,"about_ca_topic_score_gemma":0.000004151726,"domain_scores_codex":[0.9988046,0.00002984633,0.0005823451,0.0004233724,0.00001803375,0.0001417733],"domain_scores_gemma":[0.9988238,0.00009311981,0.0005374429,0.0004094722,0.0001114426,0.00002469966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000143649,0.00007971608,0.3313735,0.00007061168,0.00004419285,1.905295e-7,0.0001804806,0.0000144184,0.0002363942,0.6539634,0.00005737789,0.01396531],"study_design_scores_gemma":[0.0005750981,0.00005834539,0.1482095,0.00002174212,0.00001353827,0.00001527529,0.0001607656,0.001444043,0.01007757,0.832571,0.006633089,0.0002200953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839228,0.006269229,0.00408222,0.001553777,0.0002560411,0.0001554765,0.0002238078,0.0000104376,0.003526259],"genre_scores_gemma":[0.9987413,0.000303231,0.0004236989,0.00002143047,0.00003724494,0.000009544688,0.00001208933,0.000008249537,0.0004431984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831641,"threshold_uncertainty_score":0.4165823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386870759","doi":"10.3982/ecta18916","title":"Selection Into Credit Markets: Evidence From Agriculture in Mali","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Loan; Economics; Selection (genetic algorithm); Agriculture; Cash; Sample (material); Selection bias; Capital (architecture); Business; Finance; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03343575170923774,"gpt":0.2334728101760694,"spread":0.2000370584668317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007741768,0.0002104809,0.0004921525,0.001593829,0.0001682918,0.0000959677,0.0003862521,0.0002428547,0.001373969],"category_scores_gemma":[0.0006880879,0.000240799,0.0001362237,0.005141424,0.00003635064,0.0006688348,0.0002093224,0.0002736909,0.007122091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070906,"about_ca_system_score_gemma":0.00002654136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518622,"about_ca_topic_score_gemma":0.0003270868,"domain_scores_codex":[0.9979544,0.00002239606,0.0007909581,0.0007363871,0.0000458436,0.0004500705],"domain_scores_gemma":[0.9990325,0.0002141781,0.0003279794,0.000306476,0.00003122002,0.00008765102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007571535,0.0001496441,0.8759065,0.00005123452,0.00004030868,0.00003149559,0.001370116,0.0001655371,0.001010207,0.009911312,0.0994793,0.01180866],"study_design_scores_gemma":[0.0003756368,0.00006242933,0.777078,0.00006651392,0.000003253559,0.000001749493,0.00007220934,0.001281802,0.0004982619,0.02263658,0.1975283,0.0003953248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766359,0.007313563,0.0009205323,0.001785867,0.001184879,0.0003336851,0.0001485968,0.0001812059,0.01149581],"genre_scores_gemma":[0.9905615,0.004960683,0.000791859,0.0002150227,0.0004775086,0.00007742289,0.00008283991,0.00003002696,0.002803104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09882851,"threshold_uncertainty_score":0.9995389,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2605833293","doi":"10.3982/ecta15295","title":"Old, Frail, and Uninsured: Accounting for Features of the U.S. Long‐Term Care Insurance Market","year":2019,"lang":"en","type":"article","venue":"Econometrica","topic":"Global Health Care Issues","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fondation pour la Recherche sur la Biodiversite; University of Minnesota; McGill University; Utah State University; Notre Dame University-Louaize; Virginia Commonwealth University; University of Wisconsin-Madison; Purdue University","keywords":"Medicaid; Long-term care insurance; Business; Actuarial science; Demographic economics; Health care; Economics; Long-term care; Nursing; Medicine; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.02182425737390204,"gpt":0.3583720480695431,"spread":0.3365477906956411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004636904,0.0001425462,0.000360737,0.0002376814,0.0003319714,0.00001268936,0.0003149848,0.0001949806,0.0003614568],"category_scores_gemma":[0.0005829241,0.0001079123,0.00008036885,0.0006548287,0.0000527272,0.0001332688,0.0001920025,0.0003216635,0.00006648762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714316,"about_ca_system_score_gemma":0.0001548995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002355274,"about_ca_topic_score_gemma":0.0002049641,"domain_scores_codex":[0.9985487,0.0001305467,0.0004448702,0.0003004821,0.0001332353,0.0004421504],"domain_scores_gemma":[0.9977029,0.001090749,0.0004054724,0.0004651914,0.0002475276,0.00008815627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004520936,0.00001043582,0.9778042,0.001351026,0.00001493142,1.747438e-7,0.001284222,9.796748e-7,0.000005088094,0.0003227707,0.01472619,0.004434789],"study_design_scores_gemma":[0.0007150745,0.00006053656,0.9568179,0.0002319646,0.000009073535,6.765421e-7,0.001024622,0.000004018827,0.00002314694,0.00007134271,0.04093635,0.0001053053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575652,0.008231044,0.000003161737,0.0007287424,0.001506879,0.001697438,0.0003370215,0.00003454349,0.029896],"genre_scores_gemma":[0.9947898,0.0002035777,0.0002081786,0.0007846246,0.0001617795,0.00006987326,0.00001147678,0.00002472435,0.003745933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03722467,"threshold_uncertainty_score":0.4400535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1751122322","doi":"10.3982/ecta9126","title":"Dynamic Financial Constraints: Distinguishing Mechanism Design From Exogenously Incomplete Regimes","year":2014,"lang":"en","type":"article","venue":"Econometrica","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; John Templeton Foundation; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bill and Melinda Gates Foundation; National Science Foundation","keywords":"Consumption smoothing; Moral hazard; Econometrics; Economics; Leverage (statistics); Consumption (sociology); Computer science; Robustness (evolution); Dynamic stochastic general equilibrium; Asset (computer security); Counterfactual thinking; Finance; Microeconomics; Business cycle; Monetary policy; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.01884969792047625,"gpt":0.2039809265130624,"spread":0.1851312285925862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008896475,0.000335916,0.0005650342,0.001161729,0.0004488832,0.0005674112,0.0005788929,0.0001230736,0.001861699],"category_scores_gemma":[0.002976159,0.0003531745,0.0002089822,0.001685272,0.0001098901,0.0009140589,0.0002791671,0.0001932694,0.001410037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230459,"about_ca_system_score_gemma":0.00004267114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164084,"about_ca_topic_score_gemma":0.0001345355,"domain_scores_codex":[0.9978547,0.00004288356,0.0006380703,0.0006818167,0.0002693988,0.000513189],"domain_scores_gemma":[0.9982904,0.0003940801,0.0005901598,0.0005040085,0.000184631,0.00003668044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002691116,0.0007339088,0.2654252,0.0003400055,0.0002483646,0.0001476568,0.0006567471,0.0008504978,0.001796081,0.5729735,0.02128201,0.1352769],"study_design_scores_gemma":[0.002656883,0.0001273922,0.2983505,0.0002512077,0.0005880597,0.000004884394,0.0001682208,0.2216947,0.0001652877,0.2583371,0.2150678,0.002587897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836548,0.0003245072,0.1173704,0.0005650666,0.001859789,0.0008303075,0.00005871619,0.0006113633,0.04183186],"genre_scores_gemma":[0.9867317,0.000009389731,0.01010161,0.001550619,0.001094625,0.00002347931,0.0001730227,0.0000505618,0.0002650082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3146364,"threshold_uncertainty_score":0.999892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2772365661","doi":"10.3982/ecta15867","title":"Identification With Additively Separable Heterogeneity","year":2019,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Unobservable; Nonparametric statistics; Identification (biology); Separable space; Econometrics; Discrete choice; Matching (statistics); Independence (probability theory); Class (philosophy); Economics; Welfare; Revealed preference; Mathematics; Computer science; Statistics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01780758444276049,"gpt":0.1970780300498406,"spread":0.1792704456070801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004563808,0.0001793681,0.0004452068,0.0005383918,0.00008722692,0.0001352003,0.0002965959,0.00008473384,0.00429628],"category_scores_gemma":[0.00003875822,0.0001992309,0.0001146067,0.0005105406,0.00004907865,0.0005657927,0.00005721196,0.00011422,0.0124017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701833,"about_ca_system_score_gemma":0.00002057931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006207492,"about_ca_topic_score_gemma":0.00001003977,"domain_scores_codex":[0.9983659,0.000009516125,0.0006019222,0.0006462136,0.0000229023,0.0003535077],"domain_scores_gemma":[0.9987444,0.0000770534,0.00046257,0.0005726792,0.00002965688,0.0001136087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006744689,0.0001503779,0.1734794,0.00004130906,0.0002112557,0.000002185667,0.0002035962,0.001216713,0.00004414396,0.8212151,0.002138546,0.001229862],"study_design_scores_gemma":[0.003586298,0.0006722411,0.2232279,0.00003267736,0.00002622339,0.00003257272,0.0002883407,0.00898515,0.002723549,0.1014092,0.6570494,0.001966508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374057,0.0008166701,0.003228066,0.0002046432,0.0004395976,0.0003423285,0.0003589083,0.00006791447,0.1571362],"genre_scores_gemma":[0.9900584,0.00009706153,0.000404285,0.000185641,0.00007749913,0.00004804632,0.00003878943,0.00003640191,0.009053855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.719806,"threshold_uncertainty_score":0.9966139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406965358","doi":"10.3982/ecta22764","title":"Tell Me Something I Don't Already Know: Learning in Low‐ and High‐Inflation Settings","year":2025,"lang":"en","type":"article","venue":"Econometrica","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Booth University College","funders":"Fama-Miller Center for Research in Finance, Booth School of Business, University of Chicago; Booth School of Business, University of Chicago; Banca d'Italia; Global Down Syndrome Foundation; National Science Foundation","keywords":"Inflation (cosmology); Economics; Keynesian economics; Psychology; Mathematics education; Theoretical physics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02263107969957643,"gpt":0.2201368093809029,"spread":0.1975057296813265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001353533,0.0002399035,0.0006425671,0.003107711,0.0001738176,0.0001903495,0.0002229848,0.0001996505,0.0007185675],"category_scores_gemma":[0.0006589846,0.0003124361,0.00009583829,0.001215041,0.00006052305,0.0006983767,0.0001288821,0.0004323698,0.0005846323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869833,"about_ca_system_score_gemma":0.00002345186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481061,"about_ca_topic_score_gemma":0.00003974577,"domain_scores_codex":[0.9977552,0.00003428191,0.001008521,0.0006578938,0.00002155403,0.0005226079],"domain_scores_gemma":[0.9987532,0.0004092683,0.0004128366,0.0002982675,0.000009248035,0.0001171226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004641148,0.0001389475,0.887848,0.0002343202,0.0001751678,0.000006131702,0.001201725,0.01611141,0.00001701236,0.07014558,0.002011927,0.02206339],"study_design_scores_gemma":[0.002246523,0.0001345145,0.6997796,0.0001359259,0.00001705056,0.000005701735,0.000277141,0.1062619,0.000144173,0.04014328,0.1499923,0.0008619246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338078,0.004288676,0.001124681,0.002456913,0.0004116604,0.0002763696,0.0000501147,0.00008044254,0.05750332],"genre_scores_gemma":[0.9923678,0.0008560288,0.0007113148,0.0007938679,0.0001064863,0.00002102551,0.00003167311,0.00002538624,0.00508642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1880684,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312465470","doi":"10.3982/ecta15847","title":"Learning From Reviews: The Selection Effect and the Speed of Learning","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Army Research Office","keywords":"Product (mathematics); Quality (philosophy); Computer science; Selection (genetic algorithm); Learning effect; Rating system; Dynamics (music); Machine learning; Artificial intelligence; Econometrics; Statistics; Psychology; Economics; Mathematics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.06848698722976547,"gpt":0.3349427169976347,"spread":0.2664557297678692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008904551,0.0000584343,0.0002299001,0.0002006441,0.000752085,0.00007906947,0.0004108858,0.00001230166,0.001815584],"category_scores_gemma":[0.005619603,0.00002928725,0.00008896973,0.002115227,0.000124109,0.00006348472,0.0001922967,0.0003245792,0.0001210542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001748706,"about_ca_system_score_gemma":0.000008848659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003728894,"about_ca_topic_score_gemma":0.000001393466,"domain_scores_codex":[0.9974271,0.00173891,0.0003379495,0.0002073802,0.0002026136,0.00008603782],"domain_scores_gemma":[0.9896344,0.009740794,0.0003591762,0.0002186689,0.00002475055,0.00002221259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002747183,0.00005911213,0.1379685,0.000006885437,0.00008368331,3.328603e-7,0.005369685,0.02399677,0.0006633401,0.02067586,0.004740286,0.8061609],"study_design_scores_gemma":[0.001027834,0.0003735897,0.04683525,0.000004905835,0.0000564318,0.000007947167,0.004789616,0.01845483,0.0003347161,0.03304209,0.8949282,0.0001446129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855779,0.002454371,0.0005566436,0.001225416,0.00007799288,0.0003643729,0.000002643767,0.00001659877,0.00972401],"genre_scores_gemma":[0.9972124,0.0001167726,0.00002830581,0.00006678273,0.00004106409,0.00004834248,0.000001798261,0.000003928554,0.002480602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901879,"threshold_uncertainty_score":0.9990969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096405306","doi":"10.3982/ecta10175","title":"Revealed Preference Tests of the Cournot Model","year":2013,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Western University","funders":"Economic and Social Research Council","keywords":"Cournot competition; Revealed preference; Preference; Nonparametric statistics; Economics; Consumption (sociology); Econometrics; Microeconomics; Mathematical economics","retraction":null,"screen_n_in":null,"score":{"opus":0.0629994419964004,"gpt":0.1978559060125131,"spread":0.1348564640161127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003673871,0.0001658646,0.0004790104,0.0003266411,0.00009617608,0.00006124881,0.0006812453,0.0001003141,0.001852801],"category_scores_gemma":[0.0002480304,0.0001487172,0.0001959221,0.0005088552,0.0001173201,0.0003697446,0.0001872315,0.0001542681,0.001069771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044317,"about_ca_system_score_gemma":0.0000371997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233671,"about_ca_topic_score_gemma":0.00001019963,"domain_scores_codex":[0.9983903,0.0000112642,0.0008578061,0.0003900685,0.0000250277,0.0003255089],"domain_scores_gemma":[0.9983265,0.0001175184,0.0006389882,0.0007656494,0.00004991386,0.0001014488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006513988,0.0001271052,0.06771328,0.00003836885,0.00007452267,1.812004e-7,0.0003369144,0.003983186,0.00004793182,0.9174043,0.008516489,0.001751204],"study_design_scores_gemma":[0.0008254359,0.00008025213,0.2016986,0.0000226225,0.00001047539,0.0000034636,0.00006683285,0.0593392,0.0002056459,0.7233703,0.01385632,0.0005208841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7877448,0.001176441,0.002304039,0.00127715,0.0004400615,0.0005345611,0.0002191693,0.00003529976,0.2062685],"genre_scores_gemma":[0.9905003,0.0001403897,0.001236833,0.0002886982,0.0000512932,0.0000673774,0.000003052066,0.00002505107,0.007686992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2027555,"threshold_uncertainty_score":0.999708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386870766","doi":"10.3982/ecta20769","title":"The Investment Effects of Market Integration: Evidence From Renewable Energy Expansion in Chile","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Electric Power System Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Bureau of Economic Research; University of British Columbia; Rice University; Research Institute of Economy, Trade and Industry; University of California Berkeley; Horizon 2020 Framework Programme; Massachusetts Institute of Technology; European Commission; London School of Economics and Political Science; European Research Council; National Science Foundation","keywords":"Renewable energy; Allocative efficiency; Market integration; Economics; Investment (military); Electricity market; Market power; Electricity; Natural resource economics; Industrial organization; Microeconomics; Monopoly","retraction":null,"screen_n_in":null,"score":{"opus":0.008476462423575783,"gpt":0.1907379813390204,"spread":0.1822615189154446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473996,0.00008486828,0.0001458698,0.0004957568,0.00003176628,0.00002601217,0.0001583841,0.00004708716,0.000036522],"category_scores_gemma":[0.0004057504,0.00007063613,0.00002913616,0.002377476,0.00001037125,0.0001525262,0.00002863404,0.00004863764,0.00001966416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516597,"about_ca_system_score_gemma":0.00001869913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006068578,"about_ca_topic_score_gemma":0.0002272097,"domain_scores_codex":[0.9992911,0.00005550528,0.0002743737,0.0001335482,0.00008836234,0.0001571441],"domain_scores_gemma":[0.9984855,0.001164858,0.00005340359,0.0002467853,0.00001606234,0.00003335587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004527545,0.0000765953,0.009960448,0.0002523481,0.0001767859,0.00001919214,0.00154764,0.6793198,0.006511252,0.000572195,0.236985,0.06453341],"study_design_scores_gemma":[0.0004376227,0.0001131061,0.04714017,0.0004162947,0.00001272195,8.626707e-7,0.00006630352,0.8850398,0.05773429,0.0009226259,0.007865091,0.0002511073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.629065,0.08823673,0.1456001,0.0008786593,0.007926882,0.002327076,0.00003976317,0.001867366,0.1240585],"genre_scores_gemma":[0.9961116,0.002734366,0.0002849566,0.00001721385,0.00003731628,0.00009283306,0.00001216613,0.00001633326,0.0006932258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3670466,"threshold_uncertainty_score":0.2880458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213258976","doi":"10.3982/ecta16756","title":"Unbundling Polarization","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"","keywords":"Polarization (electrochemistry); Legislature; Voting; Ideology; Status quo; Economics; Politics; Political science; Political economy; Counterfactual thinking; Public economics; Market economy; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.09852772653662795,"gpt":0.3376070245204815,"spread":0.2390792979838535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402871,0.00002839675,0.00006120039,0.00005435257,0.0001512732,0.00004992643,0.00006086092,0.00003347632,0.0006124923],"category_scores_gemma":[0.0006486647,0.00003006319,0.00002209735,0.000730811,0.0000250396,0.0001309289,0.0000073481,0.0000370756,0.0004503306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004545617,"about_ca_system_score_gemma":0.00003786971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465476,"about_ca_topic_score_gemma":0.0001086136,"domain_scores_codex":[0.9995314,0.00005065095,0.0001077285,0.00008577942,0.00007106859,0.0001533187],"domain_scores_gemma":[0.9996632,0.00007447321,0.00003195477,0.00003271804,0.00002499942,0.0001726473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005062635,0.00002880639,0.3128759,0.00001294839,0.0000134045,8.517892e-7,0.004450059,0.00004987748,0.0002009836,0.6705237,0.002735669,0.009102751],"study_design_scores_gemma":[0.0001981537,0.0001058268,0.05074689,0.000004541287,0.0000108859,7.872607e-8,0.0003690924,0.001307098,0.0001968272,0.004061396,0.9427862,0.0002129753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6519753,0.0002311427,0.006215424,0.05803832,0.0004172503,0.0003124257,0.000007429428,0.0002470478,0.2825557],"genre_scores_gemma":[0.9981815,0.000002187558,0.00008579143,0.0007805065,0.0004618747,0.000002919401,0.000002560601,0.000003371556,0.0004793244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9400505,"threshold_uncertainty_score":0.6706361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122514694","doi":"10.3982/ecta7501","title":"Decision Makers as Statisticians: Diversity, Ambiguity, and Learning","year":2009,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Frequentist inference; Ambiguity; Diversity (politics); Limit (mathematics); Independent and identically distributed random variables; Econometrics; Cognition; Cognitive psychology; Computer science; Psychology; Positive economics; Social psychology; Artificial intelligence; Economics; Mathematics; Bayesian inference; Bayesian probability; Sociology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.07594605334330334,"gpt":0.3736218174799993,"spread":0.297675764136696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001462713,0.00008106726,0.0001620979,0.0006698911,0.0007982576,0.000227329,0.0003618499,0.00004481908,0.001699441],"category_scores_gemma":[0.004113844,0.0000720581,0.00004640058,0.001520048,0.00007825669,0.0002817822,0.0002750594,0.0001489699,0.001739359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193682,"about_ca_system_score_gemma":0.00001418941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001846972,"about_ca_topic_score_gemma":0.00000338939,"domain_scores_codex":[0.9987705,0.00008834005,0.0002957629,0.0003679452,0.0003263107,0.0001511305],"domain_scores_gemma":[0.9974313,0.001948499,0.0001569299,0.000245554,0.00007811027,0.0001395536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002276857,0.00004390325,0.01267733,3.897919e-7,0.000006039295,0.000003192097,0.0003164526,0.0002188993,0.000008270597,0.05743799,0.007645449,0.9216193],"study_design_scores_gemma":[0.0002605449,0.0001557407,0.2245354,0.000002729402,0.000007792088,0.00001035195,0.0007928248,0.0004494654,0.00002477821,0.6549391,0.118688,0.000133286],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7639313,0.000256616,0.1237604,0.002896239,0.0002515925,0.0001979848,0.00002161505,0.00009777155,0.1085865],"genre_scores_gemma":[0.9921527,0.00005067952,0.0024529,0.0005461216,0.0000420198,0.000001843122,0.000002076117,0.000003097313,0.004748559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.921486,"threshold_uncertainty_score":0.9992132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3145584208","doi":"10.3982/ecta19274","title":"Factions in Nondemocracies: Theory and Evidence From the Chinese Communist Party","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Communism; Politics; China; Hierarchy; Political science; Political economy; Empirical evidence; Economic system; Economics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03430054724644545,"gpt":0.3267472235804433,"spread":0.2924466763339979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600925,0.00007613121,0.0001448259,0.00009815939,0.0006835142,0.0001365357,0.0003432266,0.00005145532,0.0003767555],"category_scores_gemma":[0.001558112,0.00005131819,0.00004919186,0.001046384,0.0003049447,0.000427231,0.0001183376,0.0001756661,0.0002435501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568433,"about_ca_system_score_gemma":0.00006845251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644654,"about_ca_topic_score_gemma":0.01442755,"domain_scores_codex":[0.9991931,0.0001735212,0.0001777485,0.0001723192,0.00007469503,0.000208646],"domain_scores_gemma":[0.9955686,0.004014033,0.00009746587,0.0002505002,0.00001022274,0.0000591387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001181811,0.00002158672,0.921916,0.000003566155,0.00001952147,0.000001673019,0.04480183,0.00002883767,0.000002894534,0.01471838,0.003666398,0.01480747],"study_design_scores_gemma":[0.0001031004,0.000007339814,0.9119073,0.00001446494,0.000002359124,1.377978e-7,0.007114932,0.0000806754,6.387324e-7,0.04492592,0.03576308,0.00008011778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977593,0.001607144,0.00001405486,0.008044422,0.000233504,0.000138666,0.00003569551,0.00004453985,0.01228898],"genre_scores_gemma":[0.9918736,0.00524157,0.00001900726,0.0002752581,0.0001270148,0.00002158474,0.000003303665,0.000005752303,0.002432876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0376869,"threshold_uncertainty_score":0.990103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3182182782","doi":"10.3982/ecta20497","title":"The U.S. Public Debt Valuation Puzzle","year":2024,"lang":"en","type":"article","venue":"Econometrica","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Valuation (finance); Debt; Economics; Business; Accounting; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.05227435163739001,"gpt":0.24179541652893,"spread":0.18952106489154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009364074,0.0001176036,0.0001889366,0.0007656505,0.000486052,0.0006975458,0.0002831814,0.00007974904,0.0005838539],"category_scores_gemma":[0.0006429451,0.0001063528,0.0001637246,0.001824338,0.00007478241,0.0004331826,0.00005583752,0.0001499203,0.00570785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924412,"about_ca_system_score_gemma":0.00004687412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394542,"about_ca_topic_score_gemma":0.00004809335,"domain_scores_codex":[0.9987125,0.00001084337,0.0005359544,0.0003736626,0.00004082099,0.0003261802],"domain_scores_gemma":[0.9990571,0.0003333716,0.0001176845,0.0003700436,0.00003075281,0.00009108231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001196307,0.00001717696,0.007912332,0.000004990362,0.00002734258,0.000001253418,0.00006180719,0.00001157272,5.327771e-7,0.9210904,0.01033282,0.06053862],"study_design_scores_gemma":[0.00007062166,0.00001952341,0.05479013,0.00000266212,0.000003107112,0.00000285798,0.00001618005,0.007797346,0.000003750203,0.1336021,0.8035694,0.0001223058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1032007,0.1526052,0.06780965,0.04804697,0.01351087,0.0009804844,0.0004625413,0.0007165892,0.612667],"genre_scores_gemma":[0.9918286,0.001551518,0.0002109436,0.0000314789,0.000500309,0.00007235009,0.00002753501,0.00002579042,0.005751543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8886279,"threshold_uncertainty_score":0.9950663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088527602","doi":"10.3982/ecta14234","title":"Paralyzed by Fear: Rigid and Discrete Pricing Under Demand Uncertainty","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Knightian uncertainty; Economics; Rigidity (electromagnetism); Econometrics; Microeconomics; Inflation (cosmology); Neutrality; Range (aeronautics); Profit (economics); Demand curve; Mathematical economics; Ambiguity; Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.05793504906453674,"gpt":0.2235726524475463,"spread":0.1656376033830096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003807205,0.0002789129,0.0007076901,0.0003614458,0.0001765793,0.0001913389,0.0002677573,0.0001291871,0.001534045],"category_scores_gemma":[0.0001868919,0.0003164892,0.0001426057,0.0005269737,0.00009726142,0.0004907009,0.0001140962,0.000219571,0.00133027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180064,"about_ca_system_score_gemma":0.00001151212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004910575,"about_ca_topic_score_gemma":0.000005896762,"domain_scores_codex":[0.9978882,0.00002154019,0.0007775953,0.0007374837,0.00002579633,0.0005493733],"domain_scores_gemma":[0.9987015,0.0001555827,0.000377813,0.0002992862,0.000005650478,0.0004601903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004788086,0.0003624093,0.5773274,0.000402157,0.001854756,0.00002437795,0.005910913,0.04392326,0.0001790065,0.1442015,0.2159668,0.009368605],"study_design_scores_gemma":[0.00527172,0.0007269767,0.1003309,0.00002270322,0.00006180276,0.00002498694,0.0004022165,0.2178748,0.0002205126,0.0384137,0.6342121,0.002437665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331221,0.009051086,0.007360484,0.0148147,0.0002540631,0.0004250857,0.0007217042,0.0001250241,0.03412578],"genre_scores_gemma":[0.9941033,0.0007025715,0.000404073,0.003749991,0.0001923018,0.00001501791,0.00005358415,0.00003812556,0.0007410097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4769965,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045016350","doi":"10.3982/ecta17105","title":"Statistical Inference in Games","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Statistical inference; Inference; Sampling distribution; Sample (material); Econometrics; Nash equilibrium; Matching (statistics); Fiducial inference; Computer science; Indirect Inference; Frequentist inference; Mathematical economics; Economics; Mathematics; Statistics; Artificial intelligence; Bayesian inference; Estimator","retraction":null,"screen_n_in":null,"score":{"opus":0.2635588611489281,"gpt":0.432110466382174,"spread":0.168551605233246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005759306,0.00005277999,0.0001560141,0.0003038923,0.00002853423,0.00009484982,0.0004467109,0.00002399712,0.00525801],"category_scores_gemma":[0.01134235,0.00004350095,0.00002494984,0.002397664,0.00006057231,0.0001288503,0.00008162711,0.00009248243,0.005745945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001256503,"about_ca_system_score_gemma":0.00002860406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004342926,"about_ca_topic_score_gemma":0.00000294062,"domain_scores_codex":[0.9990189,0.0000625459,0.0003408942,0.0002868492,0.0001636885,0.0001270973],"domain_scores_gemma":[0.9955977,0.003952721,0.0000649604,0.0002153139,0.00002937686,0.000139912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002315181,0.0001005597,0.1338632,0.000002744532,0.000005312455,0.000007768856,0.0009692266,0.0005564785,0.00007778613,0.6176538,0.009383752,0.2373563],"study_design_scores_gemma":[0.0003586496,0.0001032624,0.3868294,0.000002059661,0.000002868941,7.670025e-7,0.0005998611,0.007792118,0.0002628338,0.3218,0.2820338,0.0002144726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7009511,0.0001300358,0.1315865,0.0176168,0.0001079866,0.0002675276,0.0001220016,0.00007685921,0.1491412],"genre_scores_gemma":[0.9973223,0.000005643391,0.001587772,0.0007831128,0.00003167912,0.00001247258,0.000001925457,0.000002830847,0.0002522844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2963712,"threshold_uncertainty_score":0.9969856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392848329","doi":"10.3982/ecta21048","title":"Toward a General Theory of Peer Effects","year":2024,"lang":"en","type":"article","venue":"Econometrica","topic":"School Choice and Performance","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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; Gillings School of Public Health; Monash University","keywords":"Counterfactual thinking; Peer effects; Spillover effect; Action (physics); Conformist; Econometrics; Linear model; Norm (philosophy); Work (physics); Conformity; Psychology; Social psychology; Economics; Mathematical economics; Mathematics; Microeconomics; Political science; Statistics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04066470344427146,"gpt":0.3157728661296933,"spread":0.2751081626854218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008941076,0.00004628202,0.00009651338,0.000318777,0.00006548198,0.0000633917,0.0001543236,0.00004666789,0.001176007],"category_scores_gemma":[0.0004461539,0.00004124787,0.00006719105,0.001000905,0.00006772632,0.0002076301,0.00001941402,0.00007803715,0.0004460177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004586397,"about_ca_system_score_gemma":0.00009444117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529519,"about_ca_topic_score_gemma":0.00002030529,"domain_scores_codex":[0.9994199,0.00005997132,0.0001025088,0.0001191836,0.0001438713,0.0001545714],"domain_scores_gemma":[0.9993647,0.0004334892,0.00002137536,0.00008529843,0.00003300741,0.0000621086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002756272,0.00007755224,0.03415905,0.0003452015,0.0001651258,0.00002301733,0.0332895,0.00002352612,0.00009853011,0.4906598,0.1039506,0.3371806],"study_design_scores_gemma":[0.0001117261,0.00006324216,0.02857462,0.00002564156,0.00001825294,6.475383e-7,0.0004831023,0.0001090427,0.0005700584,0.01165191,0.9582598,0.0001319194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100004,0.005580543,0.0002272055,0.002323956,0.001444453,0.0001247047,0.000008530959,0.00009563605,0.3801946],"genre_scores_gemma":[0.9826609,0.0002318455,0.0001606366,0.0001286491,0.0007466672,0.000009046392,0.000001502167,0.000005581784,0.0160551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8543093,"threshold_uncertainty_score":0.999737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088173592","doi":"10.3982/ecta16475","title":"Optimal Monitoring Design","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Principal (computer security); Marginal cost; Wage; Constant (computer programming); Action (physics); Computer science; Principal–agent problem; Economics; Microeconomics; Econometrics; Labour economics; Computer security; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.4034542329082602,"gpt":0.4011313418998175,"spread":0.002322891008442685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006785353,0.00005513645,0.0001154816,0.0002213366,0.0001299298,0.0001338431,0.0004517782,0.00002598615,0.002170265],"category_scores_gemma":[0.001905239,0.00004679865,0.00005654984,0.002190829,0.00003208189,0.0002175332,0.00006328629,0.00006978014,0.006840173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473484,"about_ca_system_score_gemma":0.0000177629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.542406e-7,"about_ca_topic_score_gemma":6.328947e-9,"domain_scores_codex":[0.9991019,0.00005717746,0.0002734072,0.0002794616,0.0001778771,0.0001101672],"domain_scores_gemma":[0.9985291,0.0009403134,0.0001026047,0.0002209201,0.0000486211,0.0001584752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001387371,0.0002024024,0.03232463,0.000004517505,0.00008138584,0.00001047972,0.003405391,0.125422,0.001464208,0.0627462,0.1329897,0.6412104],"study_design_scores_gemma":[0.0004504636,0.000217756,0.01863203,0.000002078225,0.00001243202,0.00000629945,0.002162217,0.01705005,0.01741545,0.03431255,0.9093332,0.0004054336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06135066,0.0001658362,0.9091908,0.007268892,0.0002542483,0.0001503862,0.00000702485,0.0001063167,0.02150588],"genre_scores_gemma":[0.9824566,0.000006484494,0.01608437,0.0002033208,0.0002921718,0.00001576802,3.011147e-7,0.000004927478,0.0009360507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9211059,"threshold_uncertainty_score":0.9987419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1813435591","doi":"10.3982/ecta7163","title":"The Complexity of Forecast Testing","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Test (biology); Sequence (biology); Computer science; Forecast skill; Econometrics; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1934291853155568,"gpt":0.2551249838271196,"spread":0.06169579851156284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000466183,0.0001011681,0.0001965204,0.0002188135,0.0003425021,0.00007315876,0.001274018,0.00002785294,0.00001723956],"category_scores_gemma":[0.0007995824,0.00007663928,0.00008024331,0.002220595,0.0004490502,0.0002667001,0.0005546269,0.0001055165,0.00004763724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006437652,"about_ca_system_score_gemma":0.00007212738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005879976,"about_ca_topic_score_gemma":0.000006451976,"domain_scores_codex":[0.9988653,0.0000523384,0.0003500805,0.0003035802,0.0001535746,0.0002751059],"domain_scores_gemma":[0.9975683,0.001325571,0.0001787465,0.0007171613,0.0001316699,0.00007853071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006574757,0.0003716343,0.09012254,0.00002616711,0.00005575896,0.00002052067,0.0008333556,0.0008088116,0.00003184123,0.1415372,0.002188554,0.7639971],"study_design_scores_gemma":[0.000346838,0.0003019135,0.5407434,0.000005016132,0.000003205769,0.0001232849,0.00002674728,0.3814703,0.0003747698,0.06539642,0.01092136,0.0002867365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3157333,0.001182737,0.5870859,0.003302698,0.001456663,0.0006245548,0.00001204487,0.0004628048,0.09013934],"genre_scores_gemma":[0.8897582,0.00000923822,0.1100474,0.00004302668,0.00005955113,0.000006173885,4.046631e-7,0.000004451186,0.00007153353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7637103,"threshold_uncertainty_score":0.3125259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114534008","doi":"10.3982/ecta19304","title":"Invidious Comparisons: Ranking and Selection as Compound Decisions","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ranking (information retrieval); Selection (genetic algorithm); Construct (python library); Estimator; Bayes' theorem; Computer science; Curse of dimensionality; Nonparametric statistics; Machine learning; Operations research; Artificial intelligence; Mathematics; Bayesian probability; Econometrics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.276401290613409,"gpt":0.4560022056354244,"spread":0.1796009150220154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336242,0.00009890358,0.0002640664,0.0004771399,0.0001865158,0.00004881767,0.00007465878,0.00004918281,0.00008603225],"category_scores_gemma":[0.003853658,0.00009474721,0.00003578086,0.001096464,0.00004191131,0.00009094071,0.00007165926,0.000122923,0.0001267112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004206655,"about_ca_system_score_gemma":0.00001527381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004588,"about_ca_topic_score_gemma":0.000006342674,"domain_scores_codex":[0.9991305,0.00005632202,0.0002647314,0.0002386284,0.00009252426,0.0002172614],"domain_scores_gemma":[0.994482,0.005190996,0.00007850587,0.0001064759,0.00003377122,0.000108221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004835677,0.0001576076,0.002311224,0.00005889604,0.0001107819,0.00002598632,0.000501548,0.0003429563,0.0002378492,0.7435202,0.02956697,0.2231176],"study_design_scores_gemma":[0.0003914478,0.00008278315,0.002474621,0.00001910829,0.00002258722,0.00002003954,0.0001064879,0.02121795,0.00006249339,0.9552119,0.02022716,0.0001633696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074514,0.0001678455,0.8852903,0.0002140737,0.0001384315,0.0002006924,0.00001710307,0.000201487,0.006318714],"genre_scores_gemma":[0.5855287,0.0001732625,0.4135682,0.00008977936,0.00005082588,0.00002396818,0.000004207681,0.0000214955,0.0005396306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4780773,"threshold_uncertainty_score":0.4613467,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285218571","doi":"10.3982/ecta18137","title":"Randomize at Your Own Risk: On the Observability of Ambiguity Aversion","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Erasmus Research Institute of Management; Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Erasmus Universiteit Rotterdam","keywords":"Ambiguity; Ambiguity aversion; Observability; Incentive; Risk aversion (psychology); Econometrics; Isolation (microbiology); Incentive compatibility; Economics; Hedge; Expected utility hypothesis; Microeconomics; Mathematical economics; Computer science; Mathematics; Applied mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2863624354357056,"gpt":0.3775546163438651,"spread":0.09119218090815956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01055978,0.0001539613,0.0005510594,0.0006488581,0.0008025115,0.000109063,0.00157703,0.00005145587,0.01553341],"category_scores_gemma":[0.01093769,0.00009751254,0.0004626457,0.002012375,0.000134988,0.0001459693,0.001087607,0.0003255625,0.0008969408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141626,"about_ca_system_score_gemma":0.00006238488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330412,"about_ca_topic_score_gemma":0.00001489537,"domain_scores_codex":[0.9966232,0.0007081893,0.001013673,0.0006386381,0.0007710058,0.0002453321],"domain_scores_gemma":[0.9878162,0.009547563,0.0009563145,0.001456482,0.0001145619,0.0001089094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003104315,0.001005129,0.2653816,0.000002990689,0.00005753755,0.000008501111,0.0009784685,0.006364243,0.00008457027,0.0006158791,0.1030569,0.6193399],"study_design_scores_gemma":[0.007126041,0.001171995,0.3612758,0.000007658693,0.00008082436,0.00001146725,0.002971216,0.005107224,0.0009260309,0.1117112,0.508963,0.0006475326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986285,0.00007264275,0.00003413235,0.001043408,0.0009101427,0.0002951529,0.0002728149,0.00002152039,0.01106514],"genre_scores_gemma":[0.9972737,0.00002046322,0.0001020067,0.0002423568,0.00003572116,0.00002897024,0.000004177144,0.00001009437,0.002282444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6186923,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240091398","doi":"10.3982/ecta16467","title":"Present Bias","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Axiom; Discounting; Preference; Class (philosophy); Mathematical economics; Hyperbolic discounting; Revealed preference; Dynamic inconsistency; Econometrics; Economics; Time preference; Mathematics; Microeconomics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.4644787090694801,"gpt":0.4465102090638353,"spread":0.01796850000564482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001468801,0.0001145488,0.0003280129,0.000800806,0.000113142,0.0006604006,0.0006668413,0.00007210338,0.008445272],"category_scores_gemma":[0.005934073,0.0000937123,0.0002159899,0.002550645,0.00004554768,0.0003125408,0.0002994704,0.0001162666,0.009918513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007047127,"about_ca_system_score_gemma":0.0001188575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106273,"about_ca_topic_score_gemma":0.000009812772,"domain_scores_codex":[0.9978983,0.00009288372,0.0007241427,0.000622983,0.0004083291,0.0002534034],"domain_scores_gemma":[0.9962149,0.002170933,0.0002201773,0.000970159,0.0002382712,0.0001855803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004015259,0.0001006047,0.01692295,4.540226e-7,0.000007689634,0.00004298143,0.00004549097,0.0001454256,0.00001191995,0.0008386689,0.05562828,0.9262515],"study_design_scores_gemma":[0.0001859765,0.00003173315,0.02115716,0.000002746326,0.000005687837,0.00002520689,0.0002035661,0.0006178601,0.000491907,0.06255027,0.9145651,0.0001627617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644384,0.0005891381,0.0005872285,0.00211067,0.001208565,0.00005721321,0.00002664789,0.00004148295,0.1309407],"genre_scores_gemma":[0.9848081,0.00003715849,0.001835833,0.0003618085,0.0001880176,0.000005761498,0.000004440463,0.00001130381,0.01274751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9260888,"threshold_uncertainty_score":0.9924611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312806340","doi":"10.3982/ecta18773","title":"Achieving Scale Collectively","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Renting; Productivity; Industrial organization; Production (economics); Subsidy; Scale (ratio); Workaround; Business; Point (geometry); Economics; Microeconomics; Labour economics; Market economy; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.0148228754547148,"gpt":0.1893409637103265,"spread":0.1745180882556117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004135746,0.00007479847,0.0001186744,0.0009461053,0.0006123824,0.000140602,0.0001912831,0.00001402704,0.009895875],"category_scores_gemma":[0.00004230387,0.0000897495,0.00004405412,0.001619196,0.00001499076,0.0003549544,0.0002798855,0.0001101538,0.0009150048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459562,"about_ca_system_score_gemma":0.00003299843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110098,"about_ca_topic_score_gemma":0.000003057813,"domain_scores_codex":[0.9993474,0.000005151816,0.0002078756,0.0001881463,0.00008157734,0.000169852],"domain_scores_gemma":[0.9996909,0.00002568349,0.0001437191,0.00009823784,0.00003529146,0.000006098288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004828161,0.0003611816,0.4181774,0.00005093652,0.0001154645,0.000008431508,0.0006163394,0.0005822684,0.00005990861,0.1532561,0.3768618,0.04986195],"study_design_scores_gemma":[0.0002692055,0.000004502007,0.09880067,5.556274e-7,0.000003287903,8.275211e-7,0.0004897148,0.0003705712,0.000002817721,0.000650621,0.899269,0.0001382546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5171512,0.00002461979,0.00009678172,0.001929805,0.000729642,0.0001356914,0.000003081289,0.0000835912,0.4798455],"genre_scores_gemma":[0.9854552,0.000001144021,0.0002389288,0.006528459,0.0002875672,0.00007591375,0.00002010851,0.00001422448,0.007378512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5224072,"threshold_uncertainty_score":0.9998629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166318709","doi":"10.1111/1468-0262.00198","title":"On the Generic Finiteness of Equilibrium Outcome Distributions in Game Forms","year":2001,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Counterexample; Conjecture; Mathematics; Nash equilibrium; Outcome (game theory); Finite set; Set (abstract data type); Mathematical economics; Space (punctuation); Function (biology); Tuple; Combinatorics; Discrete mathematics; Computer science; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.07375553321408342,"gpt":0.2401727252157186,"spread":0.1664171920016352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000750365,0.0001841552,0.000559728,0.0007562767,0.00005519849,0.00005008788,0.0004859856,0.00009860626,0.001803761],"category_scores_gemma":[0.0004066035,0.0001627869,0.000206552,0.001217476,0.0001036171,0.0002330714,0.0001139954,0.0001740421,0.0006041908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998827,"about_ca_system_score_gemma":0.00001852485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001252025,"about_ca_topic_score_gemma":0.00001873215,"domain_scores_codex":[0.998033,0.00001503755,0.001113502,0.0003969024,0.00002416128,0.0004173364],"domain_scores_gemma":[0.9983787,0.0004356193,0.0004637093,0.0006223595,0.00001905613,0.0000805653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002149679,0.0001208208,0.0927406,0.00000835918,0.00002570962,0.000001975715,0.00008149783,0.001224915,0.000003148894,0.9050452,0.0002385592,0.0004877269],"study_design_scores_gemma":[0.001480219,0.0002682593,0.1564978,0.00001829651,0.000008995452,0.00000986852,0.0001781942,0.008258303,0.0001495054,0.7422157,0.09021784,0.0006970329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189616,0.0006884399,0.002768823,0.001532926,0.0003347976,0.0002434223,0.000424699,0.00002226125,0.07502297],"genre_scores_gemma":[0.9981159,0.0002065233,0.00006978911,0.000269214,0.00005489633,0.00005920363,0.00002840492,0.00002379001,0.001172267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1628295,"threshold_uncertainty_score":0.9991087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}