{"meta":{"query_hash":"ceeb4c0fd53a","filters":{"topic":"Labor market dynamics and wage inequality"},"cohort_total":1631,"direct_labels_cover":1,"predictions_cover":1631,"exported":1631,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ceeb4c0fd53a","api":"https://metacan.xera.ac/api/v1/cohort?topic=Labor+market+dynamics+and+wage+inequality"},"results":[{"id":"W101762102","doi":"10.7202/028273ar","title":"Labor Mobility : An Investment in Human Capital Approach","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Economics; Labor mobility; Human capital; Capital (architecture); Labour economics; Physical capital; Subject (documents); Market economy; Geography; Political science","score_opus":0.03885422896452405,"score_gpt":0.24422263887197115,"score_spread":0.2053684099074471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101762102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542917,0.00035880457,0.00046707358,0.00070509047,0.00005829751,0.00024015011,0.00019404806,0.00003860463,0.043646235],"genre_scores_gemma":[0.9966014,0.000021506976,0.0014681662,0.0001816487,0.00010507423,0.00004367167,0.00013022123,0.000015872934,0.0014324272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986655,0.000045549354,0.0006350744,0.00038281662,0.000040877632,0.00023015472],"domain_scores_gemma":[0.99924386,0.000037870926,0.00016977932,0.00042786813,0.000027515911,0.00009312873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007901484,0.00013135465,0.00022959354,0.00020780605,0.00013809087,0.00005599455,0.00018226916,0.00023430171,0.00028805702],"category_scores_gemma":[0.00010092475,0.00015315242,0.000048895745,0.0004255197,0.00006542166,0.00036965765,0.000047053767,0.00034817116,0.00007582542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024926753,0.0004654021,0.19913982,0.0000014455401,0.000010973163,6.411858e-7,0.0007800549,0.0026720602,0.0000062561835,0.7962587,0.0000749595,0.0005871917],"study_design_scores_gemma":[0.0015012623,0.000106409956,0.55811435,0.000014876431,0.000009624481,0.0000023008208,0.0012073256,0.029276596,0.000055954413,0.35727417,0.051708188,0.0007289339],"about_ca_topic_score_codex":0.00062065595,"about_ca_topic_score_gemma":0.00022356749,"teacher_disagreement_score":0.43898454,"about_ca_system_score_codex":0.00025705123,"about_ca_system_score_gemma":0.00004155259,"threshold_uncertainty_score":0.62453747},"labels":[],"label_agreement":null},{"id":"W101897640","doi":"","title":"Intersectoral Factor Movements: Do Adjustment Costs Matter for Welfare?","year":2012,"lang":"en","type":"article","venue":"EcoMod2012","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Welfare; Productivity; Labour economics; Unemployment; De facto; Factor price; Computable general equilibrium; Total factor productivity; Microeconomics; Macroeconomics; Market economy","score_opus":0.028860701813126454,"score_gpt":0.2508405836404885,"score_spread":0.22197988182736206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101897640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620843,0.001516116,0.0067437747,0.0011753378,0.0042449003,0.0006483294,0.002089508,0.000051908137,0.021445852],"genre_scores_gemma":[0.9963065,0.000028186863,0.0007313421,0.0010279325,0.00044233474,0.00011714199,0.0000787772,0.00004378236,0.0012240483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985155,0.000018308137,0.00053905667,0.0003056857,0.00004055192,0.00058091147],"domain_scores_gemma":[0.9990939,0.000043796354,0.00025909973,0.0003959852,0.00003228758,0.00017493212],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047647068,0.00020504683,0.00034390457,0.00011793851,0.00009533749,0.0000697346,0.00022981151,0.00010170071,0.006275096],"category_scores_gemma":[0.0000366259,0.00021541954,0.00017247941,0.00008582924,0.00002410305,0.00046614447,0.000099124416,0.00010486951,0.0010916317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003371837,0.00030290603,0.6445128,0.00004651178,0.00010468508,2.7953746e-7,0.0003410657,0.0000016482857,0.000019284953,0.3495093,0.003194159,0.0019336645],"study_design_scores_gemma":[0.0009861474,0.000050953357,0.7528227,0.000011922993,0.0000072519183,9.827683e-7,0.00008385225,0.00022072581,0.00004041125,0.01488525,0.23042926,0.00046052755],"about_ca_topic_score_codex":0.00017470038,"about_ca_topic_score_gemma":0.000023111177,"teacher_disagreement_score":0.33462405,"about_ca_system_score_codex":0.00034259798,"about_ca_system_score_gemma":0.000005006037,"threshold_uncertainty_score":0.9996861},"labels":[],"label_agreement":null},{"id":"W110251237","doi":"","title":"Job Restructuring and Worker Displacement: Does Gender Matter?","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Displacement (psychology); Labour economics; Business; Displaced workers; Psychology; Economics; Psychoanalysis","score_opus":0.017997620969668726,"score_gpt":0.21628895971063208,"score_spread":0.19829133874096336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W110251237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9402146,0.00026322456,0.0065114573,0.0007475267,0.00026247866,0.00008911079,0.000048046153,0.000026675283,0.0518369],"genre_scores_gemma":[0.9965789,0.00010618115,0.0016322008,0.0005827113,0.00005626521,0.000006908249,0.000004716914,0.000016334243,0.0010158116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909097,0.0000061241553,0.00033683566,0.00031930656,0.000024776962,0.00022198123],"domain_scores_gemma":[0.9995644,0.000016329865,0.00009480009,0.00024289385,0.0000099078425,0.00007167263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027456056,0.00011671161,0.00018694381,0.00007517163,0.00008354748,0.00011073083,0.00009848485,0.00005816861,0.000886196],"category_scores_gemma":[0.000016098784,0.00009566415,0.000040089235,0.00008517844,0.000037302067,0.00016405224,0.000086267304,0.00008449188,0.0001440125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006327259,0.000010188108,0.503272,0.000013149568,0.000018151255,0.0000022853433,0.00012736667,0.000040481344,0.0000059397994,0.49633047,0.000019182798,0.00015443376],"study_design_scores_gemma":[0.000364299,0.000003997947,0.52066785,0.0000051454435,0.0000019405657,0.0000020606649,0.00003425044,0.00007848149,0.000016061509,0.4774568,0.0012284279,0.00014067045],"about_ca_topic_score_codex":0.0003019508,"about_ca_topic_score_gemma":0.00006963968,"teacher_disagreement_score":0.05636429,"about_ca_system_score_codex":0.000059780188,"about_ca_system_score_gemma":0.000005753366,"threshold_uncertainty_score":0.97032243},"labels":[],"label_agreement":null},{"id":"W1122368074","doi":"10.1016/j.jeca.2011.02.004","title":"Regional Long-term and Short-term Unemployment and Education in Transition: The Case of Poland","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Term (time); Demographic economics; Human capital; Economics; Labour economics; Economic growth","score_opus":0.042316850139771316,"score_gpt":0.25890161900358655,"score_spread":0.21658476886381522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1122368074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334794,0.004522448,0.00017769454,0.00077123474,0.0001843344,0.00010662756,0.000038976243,0.0000012916836,0.0008494648],"genre_scores_gemma":[0.99731755,0.0023901,0.000068628375,0.00010037051,0.00007494786,0.0000015455578,0.0000014650932,0.0000077663735,0.000037633497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990356,0.000048199247,0.00069742784,0.000098753524,0.000016597309,0.000103433216],"domain_scores_gemma":[0.9991481,0.00016612545,0.00045277178,0.00015845631,0.000029813387,0.000044772096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015483585,0.00009308992,0.0002787892,0.00018792103,0.00006770901,0.000029934774,0.00013444648,0.00004323371,0.00003915942],"category_scores_gemma":[0.000024440524,0.00006525829,0.000050843144,0.00007598578,0.00018114047,0.00021230166,0.000031422962,0.0001290083,0.0000010451137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026753513,0.00013848711,0.822927,0.000051871408,0.00013432956,0.000027804805,0.0047115483,0.000014528706,0.00000727182,0.16214526,0.00007146268,0.009502869],"study_design_scores_gemma":[0.0006926275,0.00020629416,0.9136659,0.000053737276,0.000043740307,0.0014328829,0.0011597517,0.00017728886,0.00006140601,0.08222555,0.00011670292,0.00016415078],"about_ca_topic_score_codex":0.00048924336,"about_ca_topic_score_gemma":0.0005378948,"teacher_disagreement_score":0.09073883,"about_ca_system_score_codex":0.000059545917,"about_ca_system_score_gemma":0.00006313439,"threshold_uncertainty_score":0.26611558},"labels":[],"label_agreement":null},{"id":"W116737175","doi":"","title":"IZA Summer School 2009 - PRELIMINARY DRAFT Sources of Wage Growth and Returns to Tenure in Italy","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seniority; Endogeneity; Wage; Economics; Wage growth; Labour economics; Demographic economics; Econometrics; Social security; Political science","score_opus":0.015499211439058228,"score_gpt":0.22309081981400666,"score_spread":0.20759160837494844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W116737175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975281,0.0011036019,0.00022231789,0.0026359563,0.0000634544,0.0002137498,0.00016727851,0.000020011397,0.020292614],"genre_scores_gemma":[0.996601,0.00018598251,0.001044621,0.0011620212,0.000039200204,0.000005313748,0.000011740281,0.00001235438,0.0009377582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986007,0.000022019225,0.00067462627,0.00038438567,0.00003616406,0.0002820983],"domain_scores_gemma":[0.9992827,0.0000742404,0.00017938405,0.00028452137,0.000030815972,0.00014834639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067857205,0.00015231747,0.00042859634,0.0002818379,0.000033828514,0.000039233648,0.00015619362,0.000116144874,0.00013831745],"category_scores_gemma":[0.0003950916,0.00015193534,0.0000640676,0.0003674958,0.000031838998,0.00021181772,0.00006386097,0.00014727429,0.00003432281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000978168,0.00018444008,0.7508301,0.00004075424,0.000018829704,0.000013960379,0.000486897,0.000026906402,0.00006858642,0.24705575,0.00058702566,0.0005889119],"study_design_scores_gemma":[0.00048364457,0.0003077374,0.9114979,0.0000342145,0.0000042529264,0.0000031526417,0.000116355484,0.000680479,0.00010022546,0.08556505,0.00092595187,0.00028105875],"about_ca_topic_score_codex":0.0006741511,"about_ca_topic_score_gemma":0.00013743925,"teacher_disagreement_score":0.1614907,"about_ca_system_score_codex":0.000031494612,"about_ca_system_score_gemma":0.000013623467,"threshold_uncertainty_score":0.6195743},"labels":[],"label_agreement":null},{"id":"W118444912","doi":"10.7202/028724ar","title":"Job Search and Frictional Unemployment : Some Empirical Evidence","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brandon University; Trusted Positioning (Canada)","funders":"","keywords":"Unemployment; Order (exchange); Empirical evidence; Empirical research; Economics; Labour economics; Econometrics; Macroeconomics; Mathematics; Statistics; Finance","score_opus":0.12846121862573692,"score_gpt":0.30021593285107495,"score_spread":0.17175471422533803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118444912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96884155,0.003300538,0.0019485556,0.020301761,0.00012614079,0.00013930463,0.00009613836,0.00003950707,0.0052065006],"genre_scores_gemma":[0.9939454,0.00073936157,0.0010323887,0.0002755728,0.00024164616,0.000013334577,0.000010392957,0.00001192562,0.0037299485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896383,0.000030680996,0.00043733593,0.00030358057,0.000063492545,0.0002010754],"domain_scores_gemma":[0.9993395,0.00023450251,0.000078337966,0.00021131852,0.000037921356,0.00009837787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006460852,0.00010446106,0.0001668056,0.00015780068,0.00022158604,0.00007364607,0.00010996736,0.00017590112,0.00051025965],"category_scores_gemma":[0.00023349695,0.000114797585,0.000046610236,0.00027777182,0.00005610856,0.00039834852,0.00008064237,0.0003167803,0.00028368642],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005763333,0.000048929505,0.44681108,0.0000014166633,0.000024806457,9.42833e-7,0.00022190927,0.0011325391,0.0000026552514,0.5477147,0.0015054287,0.0025298467],"study_design_scores_gemma":[0.00077172107,0.00009823572,0.5878216,0.000065661145,0.000018339728,0.000012503321,0.00018995767,0.05776089,0.000036352954,0.09681522,0.2558217,0.0005878143],"about_ca_topic_score_codex":0.00011738974,"about_ca_topic_score_gemma":0.000016088097,"teacher_disagreement_score":0.45089945,"about_ca_system_score_codex":0.00015258734,"about_ca_system_score_gemma":0.000057386813,"threshold_uncertainty_score":0.55869853},"labels":[],"label_agreement":null},{"id":"W118750406","doi":"","title":"Human Capital Externalities and Vertical Labor Mobility in South Africa","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Economics; Externality; Labour economics; Wage; Productivity; Race (biology); Capital (architecture); Demographic economics; Geography; Economic growth; Sociology","score_opus":0.022804884894171876,"score_gpt":0.22231101030791833,"score_spread":0.19950612541374646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118750406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590681,0.00047917946,0.000035252047,0.00016438983,0.00004264032,0.00009154626,0.00013079506,0.000025679803,0.039962392],"genre_scores_gemma":[0.9961623,0.00003156222,0.00009033621,0.00014251063,0.000031854233,0.000012063926,0.000003940534,0.000010194091,0.0035152393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99890065,0.000021494321,0.00046149731,0.0003341037,0.000028571945,0.00025370368],"domain_scores_gemma":[0.9996108,0.000030900625,0.000031680644,0.00023641747,0.000011887053,0.00007833968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052609807,0.00011102721,0.00026336705,0.000069379494,0.000052901527,0.00007522226,0.00010880281,0.00007363751,0.0030290475],"category_scores_gemma":[0.00003986031,0.00011463714,0.00004219962,0.00011834458,0.00008533652,0.00014195938,0.000037412334,0.000114750364,0.000095560026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013480288,0.00011784114,0.32608187,0.000016236852,0.0000086077,0.00000524245,0.0026932834,0.0000059948657,0.000005137423,0.6707764,0.000008550065,0.00026735678],"study_design_scores_gemma":[0.00046945282,0.00003854403,0.6432174,0.000005144254,0.0000015391536,7.175611e-7,0.00023827539,0.0006731531,0.0000056600948,0.3537565,0.0013973321,0.00019628422],"about_ca_topic_score_codex":0.0008254476,"about_ca_topic_score_gemma":0.00020279802,"teacher_disagreement_score":0.31713554,"about_ca_system_score_codex":0.00004773982,"about_ca_system_score_gemma":0.0000068121667,"threshold_uncertainty_score":0.9978823},"labels":[],"label_agreement":null},{"id":"W1191224152","doi":"10.3138/cpp.2015-012","title":"The Gender Wage Gap in the Canadian Provinces, 1997–2014","year":2015,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Wage; Gender gap; Demographic economics; Private sector; Gender pay gap; Economics; Labour economics; Geography; Economic growth","score_opus":0.07796410129175725,"score_gpt":0.2494829009540775,"score_spread":0.17151879966232025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1191224152","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09824395,0.002037174,0.000020238042,0.19584323,0.000803115,0.0006466707,0.0022061688,0.000027878177,0.7001716],"genre_scores_gemma":[0.9876387,0.00007006635,0.000017753415,0.010269827,0.000388047,0.000058943726,0.000071246795,0.0000250601,0.0014603374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99787223,0.000104477156,0.00046514862,0.00033289136,0.000079519596,0.0011457449],"domain_scores_gemma":[0.9976964,0.00008090017,0.00014530684,0.0007806423,0.00007436591,0.0012223903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035750102,0.00017421765,0.00021384323,0.00069606036,0.00053099095,0.0008067076,0.001081013,0.00015403195,0.00008067466],"category_scores_gemma":[0.0011951702,0.00013429008,0.00007021025,0.00086806406,0.00015114686,0.00024998139,0.000038891165,0.00032844263,0.00034933363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[9.567362e-7,0.0000066580824,0.03815009,0.0000026704051,0.000011754909,0.000016687167,0.0005074044,0.0000024198653,1.5954962e-8,0.9272448,0.032224867,0.0018316675],"study_design_scores_gemma":[0.00018717175,0.000009466668,0.04953745,0.0000012468519,9.969159e-7,0.000007038246,0.00015766465,0.00043664285,4.893685e-8,0.17227072,0.77721983,0.00017173712],"about_ca_topic_score_codex":0.99169666,"about_ca_topic_score_gemma":0.99936366,"teacher_disagreement_score":0.88939476,"about_ca_system_score_codex":0.0029909,"about_ca_system_score_gemma":0.008651733,"threshold_uncertainty_score":0.99696827},"labels":[],"label_agreement":null},{"id":"W119591481","doi":"10.7202/028550ar","title":"Employer Size and Success in Manpower Training Programs for the Disadvantaged : A Dual Labor Market Analysis","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Dual (grammatical number); Training (meteorology); On-the-job training; Job training; Labour economics; Job market; Private sector; Business; Economic growth; Economics; Vocational education; Engineering","score_opus":0.036495926596857554,"score_gpt":0.25945806684087375,"score_spread":0.2229621402440162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119591481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842827,0.0010475937,0.003030763,0.006799158,0.00008868696,0.00051780127,0.00039813598,0.000028544813,0.0038066495],"genre_scores_gemma":[0.99438477,0.00017188856,0.0010638705,0.00010595017,0.00008350449,0.00011268785,0.000035755125,0.000016698175,0.0040248856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881446,0.000033868153,0.00054670527,0.00031120452,0.0000386073,0.0002551757],"domain_scores_gemma":[0.9985476,0.00091674784,0.00019421148,0.0002566543,0.000033215325,0.000051541447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011368961,0.000131346,0.0002936813,0.00018806684,0.00020562655,0.00012266674,0.00012634786,0.00016329979,0.00025083133],"category_scores_gemma":[0.00050790585,0.00011469314,0.00010253162,0.00097431126,0.000076678276,0.00021551945,0.000043250828,0.00025021282,0.0000054653688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003472678,0.00010826043,0.9060926,0.0000030687693,0.00032856216,0.0000014263355,0.0018857728,0.0008693591,6.427606e-7,0.070815265,0.00040690738,0.01945342],"study_design_scores_gemma":[0.0011186074,0.000031676027,0.80912936,0.000014641556,0.0001336115,0.0000015427046,0.0015091063,0.04232767,0.000001308362,0.011195618,0.13420112,0.0003357448],"about_ca_topic_score_codex":0.00015941235,"about_ca_topic_score_gemma":0.0007160797,"teacher_disagreement_score":0.1337942,"about_ca_system_score_codex":0.000064591506,"about_ca_system_score_gemma":0.00003274199,"threshold_uncertainty_score":0.46770507},"labels":[],"label_agreement":null},{"id":"W130618664","doi":"10.7202/602323ar","title":"Persistance du chômage et insertion","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Philosophy; Humanities; Political science","score_opus":0.03217814690267189,"score_gpt":0.22610806012696422,"score_spread":0.19392991322429232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W130618664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84122676,0.0061542303,0.005592591,0.068498194,0.0025085744,0.0003899128,0.0009119361,0.00010024407,0.07461756],"genre_scores_gemma":[0.96056086,0.0064058807,0.0014782333,0.015414453,0.00061951095,0.000021226111,0.00011757376,0.000053304695,0.015328953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967452,0.00020470303,0.0013433228,0.0009352882,0.000037596903,0.00073386246],"domain_scores_gemma":[0.9978328,0.00024519916,0.00076246756,0.0008247075,0.000100021025,0.00023482062],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002279697,0.0004658206,0.00086018373,0.00021368288,0.00021135953,0.0003891028,0.000488203,0.0005092546,0.0013520612],"category_scores_gemma":[0.0004930148,0.000637607,0.0004046359,0.000323302,0.00015964896,0.0010838462,0.00006406962,0.0005324887,0.00065753167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000862774,0.00040155405,0.014395166,0.0000778266,0.0000823145,0.000023724879,0.0019055955,0.00014146605,0.00004549273,0.97144246,0.001109286,0.010288831],"study_design_scores_gemma":[0.0010017662,0.00025831233,0.12052409,0.00011601081,0.000023005347,0.000018542294,0.00016696655,0.0049971635,0.00008309758,0.4376236,0.43428227,0.0009051878],"about_ca_topic_score_codex":0.00092032837,"about_ca_topic_score_gemma":0.000369516,"teacher_disagreement_score":0.5338189,"about_ca_system_score_codex":0.0006545023,"about_ca_system_score_gemma":0.00008902463,"threshold_uncertainty_score":0.9996075},"labels":[],"label_agreement":null},{"id":"W132301934","doi":"10.1016/b978-0-08-097086-8.03001-4","title":"Academic Careers in Comparative Perspective","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perspective (graphical); Focus (optics); Sociology; Political science; Public relations; Engineering ethics; Engineering; Computer science; Artificial intelligence","score_opus":0.0767017535839636,"score_gpt":0.2886607242639648,"score_spread":0.2119589706800012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W132301934","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010114342,0.010919915,0.0000068650816,0.0001725015,0.00053549866,0.0005383051,0.0008285239,0.000038647948,0.9859483],"genre_scores_gemma":[0.096882194,0.00033110572,0.00008140144,0.00022706264,0.000245906,0.000037173515,0.00004941039,0.00007867934,0.90206707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976213,0.00002500095,0.0010394731,0.00081753364,0.00010668882,0.00039003478],"domain_scores_gemma":[0.99834883,0.00006473867,0.00068495364,0.00054976385,0.00017958588,0.00017212747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011019275,0.00046763758,0.0012499384,0.0004328846,0.00005073329,0.000043696265,0.00046065665,0.0006286749,0.00030393273],"category_scores_gemma":[0.00006717982,0.0005454844,0.00023268396,0.000040736413,0.00017507012,0.00008686431,0.00017337037,0.0012956412,0.0006015464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026186333,0.000008809993,0.0004277412,0.00002500272,0.00009769006,0.000022970205,0.0024131355,0.0000081717835,2.5415673e-7,0.9744748,0.00015318622,0.022342054],"study_design_scores_gemma":[0.00031181378,0.00002938339,0.00015703017,0.00007469372,0.0000093274375,0.0000018569593,0.00011260027,0.000056534736,3.020125e-7,0.52618086,0.47265866,0.00040696163],"about_ca_topic_score_codex":0.000044092125,"about_ca_topic_score_gemma":0.00028670012,"teacher_disagreement_score":0.47250548,"about_ca_system_score_codex":0.0012742218,"about_ca_system_score_gemma":0.00013813286,"threshold_uncertainty_score":0.99969965},"labels":[],"label_agreement":null},{"id":"W136108014","doi":"10.7202/028507ar","title":"Wage Inflation and the Distribution of Unemployement","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Wage; Economics; Phillips curve; Distribution (mathematics); Work (physics); Keynesian economics; Econometrics; Labour economics; Macroeconomics; Unemployment; Mathematics; Engineering","score_opus":0.02074541737672479,"score_gpt":0.2160608741121852,"score_spread":0.1953154567354604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W136108014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97705996,0.0008210743,0.00737645,0.005720288,0.00005811099,0.00017951723,0.00019511153,0.000013095021,0.00857639],"genre_scores_gemma":[0.9988969,0.00019676468,0.00014779773,0.000035768044,0.00004969136,0.000009545352,0.00006539772,0.0000046555415,0.0005935075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993234,0.000024404586,0.00042816292,0.00011467652,0.000028100114,0.00008122583],"domain_scores_gemma":[0.9994175,0.00013720291,0.00022915931,0.00016442213,0.000030749827,0.000020953696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006896882,0.00005885299,0.00013478161,0.000042440755,0.0001121184,0.000022119622,0.00006279964,0.00008788094,0.00008761826],"category_scores_gemma":[0.00021818714,0.00004941405,0.000036655245,0.00019149303,0.00010489284,0.00011680834,0.000033392582,0.000119217286,0.000022136825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010254459,0.000020207575,0.04391772,8.1354426e-7,0.000018759085,4.5235492e-8,0.0002057186,0.00083942764,0.0000011273031,0.95010614,0.0002143362,0.0046654665],"study_design_scores_gemma":[0.003799706,0.000047801088,0.36909539,0.000033820615,0.000041495263,0.0000023639202,0.00031540525,0.06502434,0.0001330496,0.2848034,0.27633837,0.0003648817],"about_ca_topic_score_codex":0.00012869222,"about_ca_topic_score_gemma":0.00001431905,"teacher_disagreement_score":0.66530275,"about_ca_system_score_codex":0.000046447338,"about_ca_system_score_gemma":0.000012528121,"threshold_uncertainty_score":0.20150465},"labels":[],"label_agreement":null},{"id":"W13956410","doi":"","title":"Sources of wage growth and returns to tenure in Italy","year":2009,"lang":"en","type":"article","venue":"La semana médica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seniority; Endogeneity; Wage; Economics; Wage growth; Labour economics; Social security; Econometrics; Demographic economics; Political science","score_opus":0.011829879706355656,"score_gpt":0.2141559844482872,"score_spread":0.20232610474193155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13956410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96770215,0.0010772785,0.00023135984,0.003152067,0.00007400693,0.00016403795,0.00012939189,0.000020395573,0.027449287],"genre_scores_gemma":[0.99816966,0.00029245962,0.0005532167,0.00060050434,0.000046898494,0.0000055595237,0.00000826419,0.000014679429,0.00030875974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99859667,0.00003869497,0.0006404709,0.0003919049,0.000049477923,0.000282756],"domain_scores_gemma":[0.99918234,0.0001204377,0.00023167758,0.0003158148,0.0000233149,0.00012641522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010012523,0.00015342102,0.00049055804,0.00028600343,0.000042254906,0.000040543448,0.00019434353,0.00012957459,0.00004560151],"category_scores_gemma":[0.00034327124,0.00015994628,0.00007656436,0.00039760326,0.000054713903,0.00012748125,0.00006586362,0.00016455425,0.000016021777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055813445,0.00021311271,0.23010173,0.00009263218,0.000038920323,0.00004267751,0.0017100236,0.000019277752,0.0001323054,0.76457673,0.00030190565,0.0027148707],"study_design_scores_gemma":[0.00069299253,0.00019172326,0.74092436,0.000070316186,0.000009135099,0.0000061536575,0.00014629103,0.00083149783,0.00009514595,0.25125998,0.005383172,0.00038923943],"about_ca_topic_score_codex":0.0005119763,"about_ca_topic_score_gemma":0.00020835073,"teacher_disagreement_score":0.51331675,"about_ca_system_score_codex":0.00003300024,"about_ca_system_score_gemma":0.000012463965,"threshold_uncertainty_score":0.652242},"labels":[],"label_agreement":null},{"id":"W144494153","doi":"10.7202/028271ar","title":"The Economic of Employee Benefits","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Section (typography); Business; Magnitude (astronomy); Labour economics; Economics; Advertising","score_opus":0.03156771892054946,"score_gpt":0.22659583893765353,"score_spread":0.19502812001710407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W144494153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94202745,0.0025548844,0.00035405322,0.0032097248,0.00023598014,0.0001200398,0.00027306407,0.00002238126,0.051202435],"genre_scores_gemma":[0.9962658,0.0005055395,0.00025526204,0.00003415589,0.0001248389,0.0000088273,0.000011011608,0.0000117633745,0.00278276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999065,0.000013978422,0.00058330566,0.00016133426,0.000022262384,0.00015412917],"domain_scores_gemma":[0.99910897,0.00022281356,0.00027660126,0.00033008965,0.000023979559,0.000037541256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410876,0.000080599646,0.0001573482,0.00007450924,0.00019919488,0.00003797682,0.00020256906,0.00012681982,0.0002740566],"category_scores_gemma":[0.00013707986,0.000073600866,0.00007397753,0.00013498338,0.00007062999,0.00013119192,0.000044279113,0.00016099517,0.00035623147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032956198,0.000011712842,0.09282219,3.732522e-7,0.000026987647,6.1390274e-8,0.00007314345,0.005073706,5.278203e-7,0.89100224,0.0010533542,0.009932394],"study_design_scores_gemma":[0.000589481,0.000042867425,0.12896253,0.000016252108,0.000012374025,0.000002194826,0.00014940958,0.012605075,0.00011501896,0.12774108,0.72942954,0.00033418424],"about_ca_topic_score_codex":0.00014956977,"about_ca_topic_score_gemma":0.000119085846,"teacher_disagreement_score":0.7632612,"about_ca_system_score_codex":0.0001295079,"about_ca_system_score_gemma":0.00005249069,"threshold_uncertainty_score":0.45787534},"labels":[],"label_agreement":null},{"id":"W1447462610","doi":"10.1111/caje.12202","title":"The effect of temporary help jobs on employment volatility","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Flexibility (engineering); Economics; Agency (philosophy); Labour economics; Econometrics","score_opus":0.07968419292162153,"score_gpt":0.18578370897484706,"score_spread":0.10609951605322553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1447462610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900244,0.0005753109,0.00008715099,0.0037794986,0.0018775406,0.00030522817,0.00095127115,0.0000049094438,0.002394726],"genre_scores_gemma":[0.9984309,0.0002273676,0.000037326332,0.00019507443,0.00032821842,0.00001540835,0.0000048600004,0.00004801428,0.0007128144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99698293,0.00011792135,0.0017921333,0.0004035058,0.0000032458001,0.00070026825],"domain_scores_gemma":[0.9955275,0.0008959488,0.0016575726,0.0007612234,0.0001162083,0.0010415373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035342085,0.00031186576,0.00092623034,0.00046256138,0.00022104471,0.000100083606,0.0008068722,0.00018515541,0.00022616242],"category_scores_gemma":[0.00087726617,0.00023848495,0.00040852596,0.00013175709,0.0002723009,0.00032905798,0.000032196822,0.00026562903,0.000036905283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021496702,0.00001024054,0.3402418,0.000027486272,0.00018415131,0.000027385453,0.00010983164,0.00010593464,0.000006842789,0.65302837,0.00035207495,0.0056909304],"study_design_scores_gemma":[0.0027826293,0.0028660411,0.055221383,0.0002536808,0.000031152482,0.00008597084,0.00007592378,0.0008204974,0.00060281286,0.8409415,0.09550357,0.000814876],"about_ca_topic_score_codex":0.06658348,"about_ca_topic_score_gemma":0.7392205,"teacher_disagreement_score":0.67263705,"about_ca_system_score_codex":0.0018093914,"about_ca_system_score_gemma":0.0005962615,"threshold_uncertainty_score":0.9725134},"labels":[],"label_agreement":null},{"id":"W1462336354","doi":"10.26686/lew.v0i0.1037","title":"Unemployment Dynamics in New Zealand","year":2000,"lang":"en","type":"article","venue":"Labour Employment and Work in New Zealand","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Seekers; Quarter (Canadian coin); Demographic economics; Labour economics; Job loss; Duration (music); Business cycle; Economics; Political science; Economic growth; Geography","score_opus":0.01537480320149419,"score_gpt":0.2244476082750829,"score_spread":0.2090728050735887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1462336354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98814225,0.0011114016,0.000024684312,0.0063965386,0.0002465088,0.00035305225,0.00009601818,0.000042686417,0.0035868585],"genre_scores_gemma":[0.80257994,0.0025209144,0.00039241667,0.00064326375,0.00019450784,0.000013662687,0.00007036809,0.00004987244,0.19353507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976275,0.00004247534,0.00094332406,0.0006528419,0.00008818248,0.0006457091],"domain_scores_gemma":[0.9990539,0.000081981365,0.00017443158,0.00039139332,0.000011039777,0.00028723743],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067409285,0.00032028422,0.0006201563,0.0002799531,0.00005612664,0.00016893708,0.00025101917,0.00019547383,0.0012148651],"category_scores_gemma":[0.000026055415,0.00034405786,0.000075593736,0.0007382965,0.000040391635,0.00019340967,0.00007417555,0.00031335247,0.000107095126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016848509,0.00012721369,0.9346523,0.000009568056,0.000023301729,0.000024379615,0.00062408217,0.00013416112,4.3710395e-7,0.05072814,0.0026089167,0.010898981],"study_design_scores_gemma":[0.003238117,0.00009485567,0.6487855,0.00009914434,0.000005477166,0.0000033255928,0.000022206572,0.0005587069,0.0000021676842,0.14623763,0.20044458,0.0005083351],"about_ca_topic_score_codex":0.01918237,"about_ca_topic_score_gemma":0.018116498,"teacher_disagreement_score":0.2858669,"about_ca_system_score_codex":0.00032494374,"about_ca_system_score_gemma":0.00007355538,"threshold_uncertainty_score":0.9999011},"labels":[],"label_agreement":null},{"id":"W146630627","doi":"","title":"A convergence analysis on the efficiency of public job placement services in Japan","year":2008,"lang":"en","type":"article","venue":"Japan labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Unemployment; Business; Convergence (economics); Quality (philosophy); Labour economics; Public policy; Seekers; Position (finance); Job placement; Economics; Economic growth; Political science; Finance; Vocational education","score_opus":0.04282277782730132,"score_gpt":0.25413887788768574,"score_spread":0.21131610006038443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W146630627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577273,0.035305604,0.000041673728,0.0028149462,0.000099603545,0.0004095938,0.00021320811,0.000012814988,0.0033752397],"genre_scores_gemma":[0.93174094,0.06583336,0.000034087734,0.0020788163,0.000015846768,0.000054472177,0.000018129469,0.000010627481,0.00021369712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980062,0.00012189358,0.0010820137,0.00039623273,0.000105318446,0.00028834157],"domain_scores_gemma":[0.9983525,0.00015529511,0.0005997334,0.000735267,0.000088275076,0.000068908754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025151724,0.00017314358,0.0008036815,0.000256464,0.00008340617,0.000021879481,0.0005299502,0.000052330175,0.001069123],"category_scores_gemma":[0.00024884113,0.00013269794,0.00023361079,0.0027475096,0.00007760804,0.00010757029,0.00007604361,0.00015141061,0.00011581405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055179257,0.00019453702,0.71135074,0.00084449863,0.00016430269,0.0000018388121,0.00034305916,0.00003000801,0.0000041084922,0.28664076,0.000080889455,0.0003397192],"study_design_scores_gemma":[0.00050509523,0.00014032533,0.9563364,0.0007869044,0.00011698657,0.000002259721,0.00015431514,0.00403097,0.00001570627,0.0029774474,0.03441726,0.0005163734],"about_ca_topic_score_codex":0.0004925718,"about_ca_topic_score_gemma":0.00035121632,"teacher_disagreement_score":0.2836633,"about_ca_system_score_codex":0.000077136356,"about_ca_system_score_gemma":0.000035133835,"threshold_uncertainty_score":0.999844},"labels":[],"label_agreement":null},{"id":"W1481790954","doi":"","title":"Rebound in Industrial Activity, Unemployment Rising Further. Business Cycle Report December 2009","year":2009,"lang":"en","type":"article","venue":"Austrian Economic Quarterly","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business cycle; Economics; Unemployment; Pace; Inflation (cosmology); Industrial production; Wage; Unemployment rate; Seasonal adjustment; Labour economics; Demographic economics; Macroeconomics; Geography","score_opus":0.03695408324863136,"score_gpt":0.25736592986337775,"score_spread":0.2204118466147464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481790954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97900325,0.000091419344,0.00035858373,0.003966481,0.0013802251,0.0004509715,0.00020558307,0.00006894463,0.014474514],"genre_scores_gemma":[0.9979097,0.00002728364,0.00012282465,0.00017439599,0.0005417333,0.000019399129,0.000050124447,0.000041377018,0.0011131384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966623,0.000072488314,0.0015724958,0.00094167923,0.0000582669,0.0006927246],"domain_scores_gemma":[0.99790746,0.00009132473,0.0009138437,0.0008718548,0.00003400393,0.00018150742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017730618,0.00037228694,0.0008424163,0.00039241137,0.00011204355,0.00033519758,0.00038426457,0.00035533606,0.00048242457],"category_scores_gemma":[0.00009054918,0.0004662449,0.00016848146,0.00038681846,0.000066282024,0.00074602495,0.00003324427,0.00040641378,0.00044007687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010271289,0.00201192,0.6056422,0.000049415925,0.00042434182,0.0010920072,0.0029182981,0.004209253,0.00016543039,0.15384899,0.0055190884,0.22309192],"study_design_scores_gemma":[0.008243562,0.0007478707,0.55597687,0.00010392452,0.000033331467,0.000148921,0.00030719896,0.0066874707,0.00004854616,0.39458138,0.031069765,0.0020511856],"about_ca_topic_score_codex":0.0034000664,"about_ca_topic_score_gemma":0.0014085291,"teacher_disagreement_score":0.24073239,"about_ca_system_score_codex":0.0008014909,"about_ca_system_score_gemma":0.0001531891,"threshold_uncertainty_score":0.9997789},"labels":[],"label_agreement":null},{"id":"W1481905408","doi":"","title":"Wage Structure and Public Sector Employment: Sweden versus the United States 1970-2002","year":2006,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Labour economics; Public sector; Census; Wage; Economics; Private sector; Tertiary sector of the economy; Welfare; Government (linguistics); Welfare state; Demographic economics; Population; Economic growth; Economy; Market economy; Political science","score_opus":0.02387746447138193,"score_gpt":0.21844510461194838,"score_spread":0.19456764014056646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481905408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97785556,0.0023831136,0.000117097545,0.0014731082,0.0018955666,0.00036978774,0.0022822735,0.000121459256,0.01350201],"genre_scores_gemma":[0.9966051,0.0002731703,0.0001713297,0.0005326667,0.00040640033,0.00002938897,0.00029871447,0.000060831946,0.0016224046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973996,0.0000957709,0.0009541738,0.00074614,0.000093475326,0.0007107937],"domain_scores_gemma":[0.99797183,0.00042120536,0.0005728901,0.00074542826,0.000089919035,0.00019874722],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007122682,0.00042195205,0.0005944272,0.00041266723,0.00045757554,0.00044073287,0.00048833614,0.00023903426,0.0031147744],"category_scores_gemma":[0.00017029373,0.00038280952,0.00016681738,0.0005313444,0.00043373814,0.00039716676,0.0001754683,0.00041857598,0.00019457532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043012868,0.00007446765,0.7810922,0.000021007743,0.00014579248,0.000010087452,0.00018426219,0.000056479053,0.000011619564,0.21422647,0.0039730635,0.00016153052],"study_design_scores_gemma":[0.0040184236,0.00019175412,0.5962604,0.000026465977,0.000054546435,0.000039797153,0.00035969482,0.004282764,0.000052051168,0.05644105,0.33687085,0.0014021749],"about_ca_topic_score_codex":0.0032380184,"about_ca_topic_score_gemma":0.0029401537,"teacher_disagreement_score":0.33289778,"about_ca_system_score_codex":0.00029825934,"about_ca_system_score_gemma":0.0000747482,"threshold_uncertainty_score":0.9998624},"labels":[],"label_agreement":null},{"id":"W1482362967","doi":"","title":"How Would One Extra Year of High School Affect Wages? Evidence from a Unique Policy Change","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Graduation (instrument); Earnings; Educational attainment; Demographic economics; Government (linguistics); Affect (linguistics); School education; Economics; Labour economics; Political science; Economic growth; Psychology; Accounting; Pedagogy; Engineering","score_opus":0.1060620850029912,"score_gpt":0.324662274954437,"score_spread":0.2186001899514458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482362967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718806,0.0024220198,0.00010906751,0.0060973694,0.00045707118,0.0016763208,0.002427474,0.000059169033,0.014870915],"genre_scores_gemma":[0.93172365,0.06325106,0.0023076003,0.00023237691,0.0008750504,0.00030016995,0.00016788028,0.000103642225,0.0010385383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951277,0.00038611927,0.0014453374,0.0017471011,0.00019142353,0.001102316],"domain_scores_gemma":[0.9951772,0.00079502555,0.0010734859,0.0023775243,0.00018049456,0.000396278],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0048578978,0.0005508434,0.0017094744,0.0014611651,0.00010887899,0.00043970544,0.0016163841,0.001478875,0.00026446165],"category_scores_gemma":[0.0036164662,0.0006967005,0.0004136255,0.0004970168,0.0003071827,0.00047572466,0.0013554796,0.0034506118,0.000034709574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010200838,0.0016864644,0.27546233,0.0019399781,0.0011044185,0.00013923112,0.0017984861,0.0015128627,0.00040779222,0.43471482,0.00011159393,0.28010193],"study_design_scores_gemma":[0.001411353,0.00036289028,0.4191939,0.0016938144,0.000020404148,0.0000022044703,0.00017858301,0.0035531134,0.00024586593,0.56697935,0.0049066087,0.0014519113],"about_ca_topic_score_codex":0.012002298,"about_ca_topic_score_gemma":0.0010756681,"teacher_disagreement_score":0.27865002,"about_ca_system_score_codex":0.002059679,"about_ca_system_score_gemma":0.0005798729,"threshold_uncertainty_score":0.99981743},"labels":[],"label_agreement":null},{"id":"W1484426219","doi":"","title":"Real Wage Chronology","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Wage growth; Economics; Efficiency wage; Chronology; Productivity; Real wages; Wage bargaining; Wage share; Labour economics; Geography; Macroeconomics","score_opus":0.04243932962306355,"score_gpt":0.3047281846214914,"score_spread":0.26228885499842786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484426219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57093835,0.00044234408,0.000017654129,0.0008717194,0.0008498457,0.0005909033,0.0005135189,0.00006838639,0.42570728],"genre_scores_gemma":[0.95040214,0.04375685,0.0012770789,0.00020092649,0.0005080367,0.0001714339,0.00024311172,0.00010903744,0.0033313902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945637,0.00024133724,0.0018216496,0.0018805003,0.00009472922,0.001398109],"domain_scores_gemma":[0.99657214,0.00035725298,0.00065766636,0.0020455136,0.00009674076,0.00027066018],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0052953656,0.0005096091,0.0013922702,0.0010799209,0.00017594719,0.000267552,0.0014031865,0.0011458654,0.0004567551],"category_scores_gemma":[0.0005794307,0.0006563009,0.00036493305,0.00024770963,0.00035167634,0.00015093866,0.0014107532,0.0027340397,0.0001571405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001913186,0.0006876304,0.058804102,0.00028523858,0.0002834795,0.00018073707,0.00056158094,0.005377539,0.000024711004,0.7333968,0.00016015898,0.20004669],"study_design_scores_gemma":[0.0013935654,0.00023910288,0.11690637,0.00015095895,0.000007648224,0.000010396913,0.0001366003,0.019777995,0.000015197338,0.7946281,0.06525854,0.0014755612],"about_ca_topic_score_codex":0.001169626,"about_ca_topic_score_gemma":0.00086652586,"teacher_disagreement_score":0.4223759,"about_ca_system_score_codex":0.002101332,"about_ca_system_score_gemma":0.00038253292,"threshold_uncertainty_score":0.99958885},"labels":[],"label_agreement":null},{"id":"W1484815152","doi":"10.1111/j.1467-8543.2011.00868.x","title":"The Gender Pay Gap for Private‐Sector Employees in Canada and Britain","year":2011,"lang":"en","type":"article","venue":"British Journal of Industrial Relations","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Gender pay gap; Private sector; Wage; Demographic economics; Labour economics; Gender gap; Business; Face (sociological concept); Economics; Accounting; Economic growth; Sociology","score_opus":0.09652950824077103,"score_gpt":0.22651584293480928,"score_spread":0.12998633469403825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484815152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512833,0.0011931164,0.00086427433,0.00036712113,0.00065121066,0.00018543677,0.00026526104,0.0000021883682,0.0013430394],"genre_scores_gemma":[0.99882936,0.00042639714,0.00038344934,0.000046152563,0.00015603745,0.000006583872,0.0000030929748,0.000011008353,0.00013788948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884474,0.00003865082,0.00078985863,0.00010579351,0.00004413437,0.0001768187],"domain_scores_gemma":[0.99902517,0.00029227632,0.0004531834,0.00008098181,0.000073562274,0.00007485102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012178521,0.00006372024,0.00020576677,0.000062876206,0.00015782977,0.000082310085,0.00014365751,0.000082122984,0.00007752369],"category_scores_gemma":[0.00095243345,0.00005959597,0.000057525966,0.000120447854,0.00003273382,0.00015889433,0.000022477314,0.0003222205,9.5247265e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059500057,0.000047774774,0.86567277,0.000003842657,0.00007929227,0.000034207427,0.00014998588,0.00003286665,6.437915e-7,0.12055925,0.0021407348,0.0112191215],"study_design_scores_gemma":[0.0019710513,0.00007828119,0.70038766,0.000058872654,0.000014328674,0.00009250422,0.00017191954,0.0002453896,0.0000031970526,0.27777624,0.01900987,0.00019070749],"about_ca_topic_score_codex":0.39300576,"about_ca_topic_score_gemma":0.6042625,"teacher_disagreement_score":0.21125671,"about_ca_system_score_codex":0.0002283658,"about_ca_system_score_gemma":0.00034896564,"threshold_uncertainty_score":0.61103624},"labels":[],"label_agreement":null},{"id":"W1484865216","doi":"","title":"The Payoff: Returns to University, College and Trades Education in Canada, 1980 to 2005","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Postsecondary education; Higher education; Demographic economics; Population; Stochastic game; College education; Economics; Political science; Business; Economic growth; Demography; Sociology","score_opus":0.019819175172040873,"score_gpt":0.2585090326535928,"score_spread":0.23868985748155194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484865216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644911,0.0001789056,0.0000023873129,0.0066275094,0.00090554176,0.0009485812,0.001711833,0.0000074637437,0.025126666],"genre_scores_gemma":[0.98728806,0.0052041076,0.00040623255,0.0003068311,0.00011496674,0.000055721965,0.000032159758,0.00003849168,0.0065534506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99738866,0.00011081374,0.0007372946,0.0009217214,0.000080942846,0.00076058804],"domain_scores_gemma":[0.9979575,0.0004622632,0.00020775423,0.0009249252,0.00006841098,0.00037910262],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029317797,0.0002476901,0.0005480955,0.0006205026,0.0002083758,0.00013867914,0.0008883852,0.0002974737,0.000038087885],"category_scores_gemma":[0.0005075595,0.0002797392,0.00006652963,0.00027394824,0.00010270894,0.000083003084,0.0009995449,0.0014620849,0.000008304357],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053714815,0.00034840047,0.40633455,0.00026363038,0.00015128408,0.000071334856,0.0018492916,0.0038231509,0.000021473808,0.45528576,0.0018944048,0.12941957],"study_design_scores_gemma":[0.0006137724,0.00006294115,0.5463823,0.0001517228,0.0000036224951,0.0000055951427,0.0038236033,0.00857404,0.000009574748,0.049970012,0.38946813,0.0009346973],"about_ca_topic_score_codex":0.44463846,"about_ca_topic_score_gemma":0.9795939,"teacher_disagreement_score":0.53495544,"about_ca_system_score_codex":0.0038951146,"about_ca_system_score_gemma":0.0036986656,"threshold_uncertainty_score":0.9999655},"labels":[],"label_agreement":null},{"id":"W1485248450","doi":"10.2139/ssrn.619161","title":"Redistribution and Occupational Choice in a Schumpeterian Growth Model","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Redistribution (election); Economics; Growth model; Keynesian economics; Political science; Politics; Law","score_opus":0.015475027095567438,"score_gpt":0.23062747409784923,"score_spread":0.21515244700228178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485248450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93133867,0.000977579,0.0654382,0.0011080214,0.00008865481,0.000067407476,0.0000790754,0.000010291731,0.0008921074],"genre_scores_gemma":[0.9982423,0.001180477,0.00028176265,0.00010049487,0.00009849114,0.0000046511755,0.000020659618,0.000010913866,0.0000602521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841094,0.000014686861,0.0004289101,0.00021652096,0.000042990403,0.000885961],"domain_scores_gemma":[0.9995912,0.000016711208,0.00019942738,0.00009367112,0.000039154504,0.000059856167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017012337,0.000104731786,0.00018345121,0.00015576092,0.000105284096,0.00007153118,0.00012349775,0.00007648006,0.000009016766],"category_scores_gemma":[0.00018188385,0.0001173803,0.00004875142,0.00017613797,0.000029927829,0.00030229922,0.00002809146,0.0006775752,0.000008766165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026784,0.00004307928,0.052570555,0.000004035551,0.000017038366,0.0000012163874,0.000035384623,0.00030654587,0.000017624821,0.9467523,0.0000015069909,0.00022390299],"study_design_scores_gemma":[0.0010480034,0.0000589779,0.052115973,0.000009115068,0.0000022386569,0.00004210353,0.000026302914,0.004599388,0.000003926934,0.9418957,0.00006350267,0.0001347416],"about_ca_topic_score_codex":0.0004833222,"about_ca_topic_score_gemma":0.0015087723,"teacher_disagreement_score":0.066903636,"about_ca_system_score_codex":0.0012143679,"about_ca_system_score_gemma":0.0004985743,"threshold_uncertainty_score":0.478663},"labels":[],"label_agreement":null},{"id":"W1485250958","doi":"10.2139/ssrn.2534416","title":"Turbulence and the Employment Experience of Older Workers","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Turbulence; Labour economics; Demographic economics; Economics; Geography; Meteorology","score_opus":0.008682266000201085,"score_gpt":0.21301037431213005,"score_spread":0.20432810831192896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485250958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970244,0.0041782134,0.021960743,0.0011943037,0.00017854889,0.00009110596,0.0000037551386,0.0000061504297,0.002143187],"genre_scores_gemma":[0.9958599,0.0032665997,0.00007255637,0.00014259301,0.00006599474,0.00000607194,4.2837024e-7,0.000009354788,0.0005764695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985828,0.00004296856,0.00043578827,0.00016884242,0.00004971212,0.00071989093],"domain_scores_gemma":[0.99930227,0.00008293262,0.00034257554,0.00020040253,0.000029398047,0.000042426873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036212152,0.0000930956,0.00024395956,0.000052470874,0.000117822536,0.000046049085,0.0002493906,0.00003927892,0.000029082514],"category_scores_gemma":[0.00012616385,0.00006814692,0.00007764211,0.00011544098,0.00016027347,0.00010535336,0.00004696737,0.00048353063,0.000005421001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003752573,0.00001721499,0.060552135,0.0000033471097,0.000037767026,1.2757657e-7,0.00059996644,0.000016003822,0.0000017880726,0.93562067,0.000005207769,0.0031082612],"study_design_scores_gemma":[0.0011735942,0.000069613045,0.020221068,0.00001412235,0.0000059262948,0.000026287807,0.00064717914,0.0015743047,0.000007526767,0.9747954,0.0013441716,0.00012079672],"about_ca_topic_score_codex":0.00030084245,"about_ca_topic_score_gemma":0.00011284929,"teacher_disagreement_score":0.040331066,"about_ca_system_score_codex":0.00012592398,"about_ca_system_score_gemma":0.00007809651,"threshold_uncertainty_score":0.27789506},"labels":[],"label_agreement":null},{"id":"W1485610541","doi":"10.3386/w13306","title":"Wage and Productivity Premiums in Sub-Saharan Africa","year":2007,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Illinois at Urbana-Champaign; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; Institut für Arbeitsmarkt- und Berufsforschung; Université Catholique de Louvain; National Science Foundation","keywords":"Productivity; Wage; Economics; Labour economics; Agricultural economics; Economic growth","score_opus":0.2753279685710813,"score_gpt":0.42957875539248086,"score_spread":0.15425078682139953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485610541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7599559,0.006488436,0.000057222995,0.0011634073,0.0004731274,0.0009683136,0.000928126,0.000016514396,0.22994898],"genre_scores_gemma":[0.99606556,0.002350038,0.00030664424,0.000014158917,0.000283851,0.00009030658,0.00016664434,0.000034154364,0.0006886594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99683666,0.0001316823,0.0012382291,0.0010618708,0.00020331223,0.0005282708],"domain_scores_gemma":[0.9979243,0.00065333873,0.0004892005,0.0005274931,0.00028942016,0.00011618994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014857623,0.0002391628,0.00073748745,0.0014436048,0.000075032985,0.00011523274,0.0005347996,0.00045891578,0.00013091044],"category_scores_gemma":[0.0011779814,0.000296364,0.00012547476,0.0002806408,0.00029482815,0.00020494554,0.00077833637,0.0012253987,0.00007529565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011487814,0.00023439644,0.030030098,0.00027594785,0.00008614877,0.0000049676078,0.0002015377,0.0007074482,0.000060761562,0.96573246,0.0012770304,0.0012743457],"study_design_scores_gemma":[0.00043855375,0.000035145666,0.04501262,0.00006052683,0.0000017992711,0.0000014236189,0.000008766985,0.0037854335,0.00009680094,0.9463241,0.0039588907,0.00027590935],"about_ca_topic_score_codex":0.001932574,"about_ca_topic_score_gemma":0.00061471754,"teacher_disagreement_score":0.23610967,"about_ca_system_score_codex":0.0010856008,"about_ca_system_score_gemma":0.00033417085,"threshold_uncertainty_score":0.99994886},"labels":[],"label_agreement":null},{"id":"W1486767028","doi":"10.56105/cjsae.v25i2.1715","title":"Lifelong Learning in Paid and Unpaid Work: Survey and Case Study Findings by D.W. Livingstone (Ed.).","year":2013,"lang":"en","type":"article","venue":"Canadian Journal for the Study of Adult Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Lifelong learning; Work (physics); Unpaid work; Sociology; Media studies; Gerontology; Medicine; Pedagogy; Engineering; Mechanical engineering","score_opus":0.020537160049880012,"score_gpt":0.24953542731632036,"score_spread":0.22899826726644035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486767028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970034,0.0010153725,0.00002970144,0.0006750194,0.00039767183,0.00080809393,0.000032374493,0.0000023381313,0.00003604185],"genre_scores_gemma":[0.999272,0.00010239616,0.000023844996,0.00006991513,0.00004700307,0.000050920647,0.000004744974,0.000015201601,0.00041395944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989645,0.00010020402,0.0004826742,0.00020056497,0.000029254154,0.000222785],"domain_scores_gemma":[0.9989403,0.00029788679,0.00026287418,0.0001291008,0.00016232126,0.00020752853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002037671,0.00010814838,0.00023147665,0.00022774191,0.00045817014,0.00021311584,0.000119077056,0.0000397689,0.000035225043],"category_scores_gemma":[0.000865424,0.000100225065,0.00002249951,0.00022883067,0.00004195414,0.0001972102,0.0000168506,0.00023106123,0.000001604813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070520487,0.00017183358,0.9821441,0.000008773247,0.00004093834,0.000004125334,0.011576229,0.000013937995,3.0857504e-7,0.00016556606,0.0007413024,0.005125794],"study_design_scores_gemma":[0.0006108123,0.00028961315,0.9600606,0.000019423323,0.000009771778,0.00004488204,0.037428007,0.00029794266,1.8350573e-7,0.000834343,0.00027306195,0.00013137638],"about_ca_topic_score_codex":0.31425703,"about_ca_topic_score_gemma":0.22321048,"teacher_disagreement_score":0.09104655,"about_ca_system_score_codex":0.00010310558,"about_ca_system_score_gemma":0.00014031664,"threshold_uncertainty_score":0.7909639},"labels":[],"label_agreement":null},{"id":"W1486823964","doi":"","title":"Commentary on \"the cyclicality of hires, separations, and job-to-job transitions\"","year":2005,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Job creation; Economics; Labour economics; Job loss; Unemployment; Macroeconomics","score_opus":0.03162634433477618,"score_gpt":0.2513636752280717,"score_spread":0.2197373308932955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486823964","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36717764,0.066304654,0.00010205733,0.54916644,0.00017358425,0.0013512078,0.0050352276,0.000016305361,0.010672864],"genre_scores_gemma":[0.74940765,0.019976968,0.00037500166,0.22979343,0.00009733853,0.00008206137,0.00011648185,0.000016188473,0.00013490413],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987522,0.000072766656,0.0006331488,0.00027114403,0.000040733194,0.00023003427],"domain_scores_gemma":[0.9990594,0.0000740032,0.00012471009,0.0004266186,0.000020575375,0.0002947033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086965365,0.0001371905,0.00038268833,0.0000918944,0.00013934633,0.000026094936,0.0001927623,0.000038693608,0.0011052885],"category_scores_gemma":[0.000044557204,0.00012741819,0.00009156761,0.00022354962,0.00006400064,0.00009492728,0.000017782422,0.00012416334,0.00011524594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016657465,0.0001273991,0.067343585,0.00077827595,0.0001855834,0.000007929216,0.00033559132,0.000030586223,0.0000049298715,0.3103544,0.5895347,0.031280354],"study_design_scores_gemma":[0.00016274258,0.000045941335,0.022496916,0.00037258668,0.000023973611,0.0000024167343,0.0000241831,0.0001420406,0.0000035072312,0.0054473924,0.9710723,0.00020599537],"about_ca_topic_score_codex":0.055635065,"about_ca_topic_score_gemma":0.12881649,"teacher_disagreement_score":0.38222998,"about_ca_system_score_codex":0.000258365,"about_ca_system_score_gemma":0.00004163024,"threshold_uncertainty_score":0.99980783},"labels":[],"label_agreement":null},{"id":"W1487122249","doi":"","title":"Which Firms Have High Job Vacancy Rates in Canada","year":2001,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Workforce; Business; Competition (biology); Job creation; Labour economics; Economics; Economic growth","score_opus":0.08397440386206971,"score_gpt":0.3306347445542681,"score_spread":0.2466603406921984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487122249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415941,0.0063063456,0.000016717922,0.018770602,0.00027441906,0.00027303703,0.00014055782,0.000018870609,0.032605305],"genre_scores_gemma":[0.982307,0.013044366,0.000040624218,0.00042922623,0.00015414781,0.000080096586,0.000012765766,0.00002665879,0.0039050998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969348,0.00013995588,0.0008752331,0.00069067185,0.000268316,0.0010910755],"domain_scores_gemma":[0.9980738,0.0007012957,0.000094441886,0.00051430945,0.00041444937,0.0002016852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021616963,0.0002453128,0.0008022746,0.00022211936,0.00033358208,0.00012103032,0.00042571287,0.00009509197,0.00082880526],"category_scores_gemma":[0.0023432232,0.00023007805,0.00007494654,0.001419671,0.0002482423,0.0004315114,0.00035015316,0.0006026081,0.00008721335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008813011,0.000052621057,0.7345398,0.00006108404,0.00017931496,0.00006900227,0.0001913969,0.000041385334,0.0000028352074,0.26196015,0.0021405288,0.0006737279],"study_design_scores_gemma":[0.0005195057,0.00008927768,0.7454496,0.000040097442,0.000004338715,0.0000032659102,0.0010147835,0.0005693876,0.000007249825,0.20325498,0.04870864,0.00033885668],"about_ca_topic_score_codex":0.80712324,"about_ca_topic_score_gemma":0.98726076,"teacher_disagreement_score":0.18013753,"about_ca_system_score_codex":0.0009980836,"about_ca_system_score_gemma":0.00033449297,"threshold_uncertainty_score":0.93823105},"labels":[],"label_agreement":null},{"id":"W1487512673","doi":"10.2139/ssrn.2161230","title":"Wage Growth and Job Mobility in the Early Career: Testing a Statistical Discrimination Model of the Gender Wage Gap","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; HEC Montréal","funders":"","keywords":"Wage growth; Wage; Labour economics; Economics; Statistical discrimination; Demographic economics","score_opus":0.05737603597954662,"score_gpt":0.24341371611200663,"score_spread":0.18603768013246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487512673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97358894,0.0014526502,0.022431156,0.0002935956,0.00006886089,0.0001439366,0.00008588691,0.0000037078844,0.0019312862],"genre_scores_gemma":[0.9991976,0.00031047477,0.0003129441,0.00007094647,0.000059316724,0.000006783144,0.0000019676702,0.000011686524,0.000028272792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981176,0.00014018972,0.0005344961,0.00016019458,0.000079028,0.0009684915],"domain_scores_gemma":[0.99915767,0.00026015646,0.0002900443,0.00020269646,0.000042474792,0.0000469667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063630287,0.00011090137,0.00021420256,0.00006448546,0.0001394769,0.000041795858,0.00026383688,0.000059842016,0.000004589887],"category_scores_gemma":[0.0007853122,0.00007470767,0.000060403163,0.0001909545,0.00007998278,0.00024972888,0.00006202825,0.0008885335,0.0000010937482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006469685,0.000054109325,0.37426737,0.000010396334,0.000012578483,1.2240807e-7,0.00073541974,0.000033098004,0.000013088817,0.62432986,8.430106e-7,0.00053664495],"study_design_scores_gemma":[0.0001737895,0.000027555567,0.43064907,0.0000042541155,0.000007962005,0.000011002151,0.00032322505,0.0076297075,0.0000019064674,0.5611036,0.0000017816668,0.00006616914],"about_ca_topic_score_codex":0.0006983539,"about_ca_topic_score_gemma":0.00035842604,"teacher_disagreement_score":0.0632263,"about_ca_system_score_codex":0.00026834037,"about_ca_system_score_gemma":0.0001516004,"threshold_uncertainty_score":0.38602853},"labels":[],"label_agreement":null},{"id":"W1488241941","doi":"","title":"Cohort Effects in Annual Earnings by Field of Study Among British Columbia University Graduates","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Graduation (instrument); Bachelor; Cohort; Demographic economics; Demography; Economics; Medicine; Geography; Accounting; Sociology; Engineering","score_opus":0.011572842815392694,"score_gpt":0.24492697225100798,"score_spread":0.2333541294356153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488241941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97469616,0.00018097769,0.000006508102,0.000045444725,0.00033425656,0.0015124645,0.0008815148,0.000018720497,0.022323936],"genre_scores_gemma":[0.9914315,0.0038098795,0.00008780899,0.000027695483,0.000027885506,0.000059864342,0.000077271405,0.000051597202,0.004426551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962197,0.00045868443,0.0011776875,0.0012987927,0.00011477504,0.00073039386],"domain_scores_gemma":[0.99741566,0.00081243535,0.0006202235,0.0008689081,0.000117500975,0.00016526866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004981846,0.00025946033,0.0012391552,0.00044512041,0.0001241229,0.00024891415,0.0008217035,0.00054118753,0.0001508045],"category_scores_gemma":[0.0012853191,0.0004986293,0.00019882745,0.00037691073,0.00025486416,0.00019145591,0.00087945303,0.0017758637,0.0000042060624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036857455,0.00065857655,0.99351174,0.00019878412,0.000137558,0.00009990046,0.00033414207,0.0003100391,0.0000010509804,0.0004413133,0.00023748474,0.004032586],"study_design_scores_gemma":[0.001316695,0.00025475395,0.98348314,0.00017007823,0.000008148601,0.0000015281528,0.0006724229,0.001079458,0.000002949741,0.010051928,0.0024338171,0.00052510656],"about_ca_topic_score_codex":0.107193604,"about_ca_topic_score_gemma":0.093641475,"teacher_disagreement_score":0.017897386,"about_ca_system_score_codex":0.0009088538,"about_ca_system_score_gemma":0.00016610295,"threshold_uncertainty_score":0.99974656},"labels":[],"label_agreement":null},{"id":"W1488953930","doi":"","title":"Union Wage Effect: New Evidence From Matched Employer-Employee Data","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Unobservable; Estimation; Labour economics; Economics; Control (management); Quarter (Canadian coin); Demographic economics; Panel data; Association (psychology); Econometrics; Psychology","score_opus":0.10436686987241638,"score_gpt":0.33603458044767887,"score_spread":0.23166771057526248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488953930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96131265,0.0030210249,0.00020878829,0.0009990429,0.0020567756,0.0014981078,0.0034973058,0.0001051187,0.027301181],"genre_scores_gemma":[0.95266044,0.037563436,0.0027603072,0.00021830917,0.0007271635,0.00017639942,0.0015842132,0.00026345855,0.0040462865],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99186563,0.00082897104,0.0022485836,0.0034029882,0.00021629356,0.0014375357],"domain_scores_gemma":[0.9898081,0.0022743773,0.0008699624,0.006423439,0.000100982004,0.0005231371],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012109378,0.0007740992,0.0019225895,0.0007730952,0.0002040378,0.0006874524,0.003962619,0.0011215106,0.0007599254],"category_scores_gemma":[0.0040778145,0.0009349339,0.00029707735,0.00040535364,0.00027383113,0.00062358845,0.0049950616,0.0030297441,0.0002526308],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040631715,0.000403097,0.86547714,0.0006381421,0.0007641275,0.000168783,0.00082871364,0.0030023612,0.00009160485,0.0150043825,0.0014403838,0.11177494],"study_design_scores_gemma":[0.0044709677,0.000528358,0.33979288,0.002327189,0.00008013414,0.000012350178,0.00020782652,0.023543753,0.00016639955,0.54535854,0.07882202,0.004689588],"about_ca_topic_score_codex":0.0096374145,"about_ca_topic_score_gemma":0.0022748117,"teacher_disagreement_score":0.53035414,"about_ca_system_score_codex":0.0016902062,"about_ca_system_score_gemma":0.00071192294,"threshold_uncertainty_score":0.99931014},"labels":[],"label_agreement":null},{"id":"W1489605998","doi":"","title":"Curva de Beveridge, Vacantes y Desempleo: Chile 1986-2002","year":2002,"lang":"es","type":"article","venue":"Economía chilena","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Beveridge curve; Quarter (Canadian coin); Index (typography); Volatility (finance); Context (archaeology); Capital (architecture); Econometrics; Labour economics; Demographic economics; Unemployment rate; Macroeconomics; Geography","score_opus":0.024855022303788915,"score_gpt":0.21570586326346414,"score_spread":0.19085084095967522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489605998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78503865,0.014280639,0.0004827506,0.002669798,0.0019106094,0.00051627087,0.004676179,0.00015745331,0.19026767],"genre_scores_gemma":[0.9741927,0.01214628,0.00058411073,0.0015655346,0.0013593121,0.000065428045,0.00010478696,0.00016560758,0.009816266],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995026,0.00011878744,0.0018441963,0.001420248,0.00009063553,0.0015001569],"domain_scores_gemma":[0.99665856,0.00029118115,0.0010431184,0.0013927364,0.00007528606,0.00053908624],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013596625,0.00076574314,0.0013452963,0.00047483435,0.00047211858,0.0006688556,0.0010347582,0.00050184823,0.021703405],"category_scores_gemma":[0.00035008037,0.0009731842,0.00059459324,0.0005342054,0.00022710407,0.00073947944,0.0003307781,0.0007479264,0.007196799],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003993425,0.0010097362,0.61259663,0.00036913448,0.00058721856,0.000054208824,0.0012747403,0.0002472421,0.000011479905,0.34913415,0.024910947,0.009764614],"study_design_scores_gemma":[0.0021201803,0.00027529075,0.4002622,0.00019245618,0.00007064125,0.000053732565,0.00008078335,0.04629039,0.00006907069,0.046459112,0.5018937,0.0022324459],"about_ca_topic_score_codex":0.00086053455,"about_ca_topic_score_gemma":0.000120032324,"teacher_disagreement_score":0.4769827,"about_ca_system_score_codex":0.0005481449,"about_ca_system_score_gemma":0.00006780757,"threshold_uncertainty_score":0.99927187},"labels":[],"label_agreement":null},{"id":"W1490453450","doi":"","title":"Has Higher Education Among Young Women Substantially Reduced the Gender Gap in Employment and Earnings","year":2007,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Gender gap; Educational attainment; Demographic economics; Position (finance); Labour economics; Economics; Economic growth","score_opus":0.1641082209667991,"score_gpt":0.3602477262101005,"score_spread":0.19613950524330137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490453450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97124004,0.003997914,0.000020328824,0.0063970233,0.00023185422,0.00029994582,0.000010339145,0.000018057404,0.017784517],"genre_scores_gemma":[0.9894565,0.0027251942,0.00003576689,0.00033673874,0.00015684743,0.00008841518,0.0000040532927,0.000020768819,0.0071757347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773663,0.00012468219,0.00064070034,0.0005056001,0.00020245314,0.0007899404],"domain_scores_gemma":[0.998723,0.00045561735,0.00010753633,0.00034194448,0.00019845823,0.00017344982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057406537,0.00017173044,0.0004075112,0.00022774344,0.0005190461,0.0002255132,0.0002390992,0.00009339531,0.00031733952],"category_scores_gemma":[0.0008504509,0.0001361389,0.000056209003,0.0007897011,0.00092452933,0.00036353618,0.00026193022,0.000457083,0.00002233218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001238792,0.000111452784,0.6187899,0.000058818117,0.00018062843,0.000009881919,0.0053346963,0.0000028675588,0.000038961367,0.37400144,0.0006061812,0.00074128463],"study_design_scores_gemma":[0.00024852928,0.00006730401,0.85810125,0.000015706022,0.0000037074342,0.0000013629485,0.0025014894,0.000017746954,0.0000066258735,0.10925744,0.029614337,0.00016448226],"about_ca_topic_score_codex":0.0013544823,"about_ca_topic_score_gemma":0.00239977,"teacher_disagreement_score":0.26474398,"about_ca_system_score_codex":0.0003893942,"about_ca_system_score_gemma":0.00007446191,"threshold_uncertainty_score":0.5551583},"labels":[],"label_agreement":null},{"id":"W1490655003","doi":"","title":"Quelles entreprises ont des taux de vacance eleves au Canada","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03229951867091548,"score_gpt":0.2770702105955937,"score_spread":0.24477069192467824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490655003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8333653,0.003135496,0.00008910477,0.0016406893,0.0017428441,0.0007850932,0.0015893743,0.000031080992,0.157621],"genre_scores_gemma":[0.8412775,0.13297875,0.0016858537,0.00027732394,0.0007376866,0.00027417226,0.0001411094,0.00015529589,0.022472335],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.991174,0.00058364525,0.0025739914,0.0023798319,0.00023055566,0.0030580158],"domain_scores_gemma":[0.99417025,0.0017021685,0.0010344393,0.002114856,0.00027458486,0.000703691],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0066778,0.000854408,0.0017686309,0.00065532944,0.0006642736,0.00042991134,0.001926348,0.00092920207,0.0011416741],"category_scores_gemma":[0.0025087004,0.0011786072,0.00043792772,0.0005051044,0.0010401194,0.0003035946,0.0015646426,0.0027233565,0.000040808733],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00016046612,0.00043651497,0.70874906,0.00054947194,0.0003491472,0.0002367549,0.001069028,0.02991976,0.000009564871,0.11714265,0.00014479962,0.14123282],"study_design_scores_gemma":[0.0012578779,0.00012372783,0.38671958,0.0007376957,0.000021804874,0.000040385,0.001858414,0.025029832,0.000051664385,0.14999208,0.43229076,0.0018761958],"about_ca_topic_score_codex":0.80770665,"about_ca_topic_score_gemma":0.94798565,"teacher_disagreement_score":0.43214595,"about_ca_system_score_codex":0.022512501,"about_ca_system_score_gemma":0.0077721975,"threshold_uncertainty_score":0.9997714},"labels":[],"label_agreement":null},{"id":"W1491391816","doi":"10.1111/coep.12071","title":"PRIVATIZATION IN CHINA: TECHNOLOGY AND GENDER IN THE MANUFACTURING SECTOR","year":2014,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Carleton University","funders":"","keywords":"Productivity; Wage; Production (economics); Labour economics; Panel data; China; Economics; Business; Demographic economics; Econometrics; Economic growth; Microeconomics","score_opus":0.03170612572112049,"score_gpt":0.23797517445519156,"score_spread":0.20626904873407106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491391816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94126785,0.00036505595,0.00042211774,0.003910711,0.00010524005,0.00022244663,0.0000436157,0.000022169012,0.0536408],"genre_scores_gemma":[0.9989113,0.000086192566,0.000056616052,0.00065337523,0.00013591266,0.00003108958,0.000013756704,0.000016980304,0.00009477423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99878913,0.00005053192,0.0005800918,0.00033902033,0.000012651305,0.00022858317],"domain_scores_gemma":[0.9993263,0.00006974052,0.00022327749,0.00034626955,0.0000029225878,0.00003149184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011278384,0.0001363666,0.00030884365,0.00078208133,0.000044581047,0.000061575636,0.00026694173,0.000118922755,0.00002780667],"category_scores_gemma":[0.00011996106,0.00013354098,0.000031638392,0.00020045045,0.000059959773,0.00023837108,0.000081793536,0.0001766392,0.00003095371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005607993,0.000017528218,0.2997874,0.000016705764,0.000005721497,0.0000013219203,0.00051319005,0.000048201087,0.0000026253877,0.6988446,0.00004197447,0.0007151019],"study_design_scores_gemma":[0.00054332736,0.000015549771,0.42795613,0.000005514983,4.0839126e-7,0.0000027765868,0.000029406689,0.0038967626,0.000015077978,0.55739784,0.009995535,0.00014166112],"about_ca_topic_score_codex":0.001482901,"about_ca_topic_score_gemma":0.00019420563,"teacher_disagreement_score":0.14144677,"about_ca_system_score_codex":0.00015847724,"about_ca_system_score_gemma":0.000041906856,"threshold_uncertainty_score":0.54456425},"labels":[],"label_agreement":null},{"id":"W1492349973","doi":"10.7202/601274ar","title":"Antécédents familiaux et revenu de travail des hommes québécois","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04046043305072082,"score_gpt":0.2546674392476429,"score_spread":0.21420700619692207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492349973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9451666,0.021545423,0.0036352987,0.012545947,0.001327444,0.0004125997,0.0017863523,0.00009486267,0.013485457],"genre_scores_gemma":[0.9434942,0.018222196,0.0030469804,0.0117149055,0.00044293213,0.00002969495,0.00009258855,0.000079698046,0.0228768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958031,0.00036364,0.0015916845,0.0010003017,0.00004620736,0.0011950568],"domain_scores_gemma":[0.99740463,0.00037691058,0.0007736677,0.0009599381,0.00009580784,0.00038902968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00319613,0.00059577735,0.0011421199,0.0002678333,0.00023481096,0.0003789278,0.0007254776,0.00066555943,0.0006438065],"category_scores_gemma":[0.0006655949,0.0007945539,0.0004831858,0.00036438508,0.000296015,0.0008714983,0.0001145411,0.0006560962,0.00037709594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093922805,0.00071690744,0.07837956,0.00019229094,0.0001927378,0.00005205441,0.0072903293,0.00013204166,0.000057881964,0.8083107,0.0016357413,0.102945834],"study_design_scores_gemma":[0.001037428,0.00029551104,0.35482335,0.00020560446,0.000036329257,0.00003649739,0.0004976345,0.0014865241,0.00010152339,0.5217032,0.118833736,0.0009427088],"about_ca_topic_score_codex":0.032318406,"about_ca_topic_score_gemma":0.010114427,"teacher_disagreement_score":0.28660753,"about_ca_system_score_codex":0.0010792684,"about_ca_system_score_gemma":0.000308968,"threshold_uncertainty_score":0.99945056},"labels":[],"label_agreement":null},{"id":"W1493169350","doi":"","title":"Firms, Industries, and Unemployment Insurance: An Analysis using Employer-Employee Data from Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unemployment; Subsidy; Labour economics; Business; Social insurance; Economics; Market economy; Economic growth","score_opus":0.11919300376479146,"score_gpt":0.3171392277507227,"score_spread":0.1979462239859312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493169350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96703255,0.0014002473,0.000024004077,0.00024219962,0.0005471881,0.0005618382,0.02666396,0.00003245498,0.0034955533],"genre_scores_gemma":[0.98420376,0.011428422,0.00066172815,0.00014247051,0.00027672606,0.000054245727,0.0026669437,0.000106629326,0.00045909727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99381775,0.0002930759,0.0019040419,0.0026887634,0.00021574282,0.0010806026],"domain_scores_gemma":[0.9940997,0.00050724455,0.00074654864,0.0040494455,0.00012654903,0.0004705167],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031795476,0.0005861031,0.0016863118,0.00093203556,0.00027459863,0.0005455667,0.0020923133,0.0007446185,0.0004616266],"category_scores_gemma":[0.0006678665,0.00074482,0.00013248817,0.0006966551,0.00028165244,0.00040560408,0.0033550006,0.0020739704,0.000004466012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004051057,0.0001514684,0.975295,0.000066417466,0.00086523057,0.00005158397,0.00016182181,0.01315352,0.0000012490734,0.00092003815,0.00006339869,0.009229764],"study_design_scores_gemma":[0.0010570587,0.00006743002,0.6434881,0.00011841849,0.000096308024,0.0000028825425,0.0003723349,0.3116508,0.0000048641723,0.019921029,0.02161227,0.001608489],"about_ca_topic_score_codex":0.73048365,"about_ca_topic_score_gemma":0.7221278,"teacher_disagreement_score":0.3318069,"about_ca_system_score_codex":0.0025480846,"about_ca_system_score_gemma":0.0010155498,"threshold_uncertainty_score":0.9995003},"labels":[],"label_agreement":null},{"id":"W1493648748","doi":"10.7202/1026760ar","title":"The Relationship between the Internal Labour Market and Transitions from Temporary to Permanent Employment in Korea","year":2014,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Seniority; Dynamism; Labour economics; Business; Order (exchange); Outsourcing; Temporary work; Economics; Finance; Marketing; Political science","score_opus":0.041545940299948354,"score_gpt":0.24166860653328215,"score_spread":0.2001226662333338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493648748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960093,0.0003630207,0.0037766593,0.02600583,0.00012507958,0.00025987017,0.00051249965,0.000017786968,0.00884623],"genre_scores_gemma":[0.99727124,0.0000497,0.00014516863,0.00019765654,0.00012281342,0.000040160663,0.000049220533,0.000013658474,0.002110364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988358,0.00013076756,0.0005589141,0.00024605333,0.00005249972,0.00017594162],"domain_scores_gemma":[0.9977271,0.001701416,0.0001426868,0.00033499458,0.00002032169,0.00007346459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013048964,0.00011340301,0.00016497164,0.00011559815,0.0004282634,0.00013134425,0.00021126145,0.00013171513,0.000086050415],"category_scores_gemma":[0.00057783537,0.00008693809,0.000045393455,0.00033064568,0.000072502895,0.00011273309,0.00006402597,0.00040690173,0.00005040442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006070805,0.000013554521,0.7451982,4.9400774e-7,0.000015494106,3.3448669e-7,0.00039571527,0.00008203689,1.7957045e-7,0.25240076,0.00070734124,0.0011798049],"study_design_scores_gemma":[0.00020200577,0.000015173451,0.8058373,0.000019468718,0.000005412959,4.5830302e-7,0.00019214959,0.0008457482,7.2976036e-7,0.14455254,0.048229326,0.000099697805],"about_ca_topic_score_codex":0.0013053803,"about_ca_topic_score_gemma":0.0004174131,"teacher_disagreement_score":0.10784823,"about_ca_system_score_codex":0.000077612574,"about_ca_system_score_gemma":0.000023619597,"threshold_uncertainty_score":0.35452324},"labels":[],"label_agreement":null},{"id":"W1494583751","doi":"10.7202/800670ar","title":"Sélection des méthodes de cueillette de l’information dans la recherche d’emploi : une analyse empirique","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Newspaper; Business; Psychology; Marketing; Advertising","score_opus":0.216304683258658,"score_gpt":0.3370337029641244,"score_spread":0.12072901970546637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494583751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7916734,0.000060037102,0.17618465,0.0021144769,0.000059758746,0.00016636775,0.00009447559,0.00011652832,0.02953025],"genre_scores_gemma":[0.97220623,0.00043774972,0.023420885,0.0033330775,0.00010737015,0.000036902533,0.000058939106,0.00002315517,0.00037566965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978343,0.00049890444,0.0008482683,0.00032781114,0.000021823642,0.0004688622],"domain_scores_gemma":[0.99824196,0.00068353437,0.00042029694,0.00042132605,0.00006471128,0.00016814559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006034017,0.00024634937,0.0004229236,0.00025751666,0.00016749906,0.0002673011,0.00028629083,0.0004835968,0.000058416896],"category_scores_gemma":[0.0016264912,0.00028344186,0.00019036536,0.00045504863,0.00008679284,0.0009720533,0.00003529473,0.00047441316,0.000056660738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009434903,0.00015397138,0.072293356,0.00005328812,0.00010133763,0.000006962222,0.011418647,0.00096240256,0.00081193855,0.8986207,0.000258798,0.015224231],"study_design_scores_gemma":[0.00046218687,0.0000848364,0.13212429,0.000019962627,0.00001269975,0.00002611741,0.00044345064,0.009070675,0.0010405588,0.8443945,0.011922942,0.00039775623],"about_ca_topic_score_codex":0.0032783332,"about_ca_topic_score_gemma":0.00085506734,"teacher_disagreement_score":0.1805328,"about_ca_system_score_codex":0.0012734871,"about_ca_system_score_gemma":0.00014423094,"threshold_uncertainty_score":0.9999618},"labels":[],"label_agreement":null},{"id":"W1495500235","doi":"","title":"Formation of Heterogeneous Skills and Wage Growth","year":2009,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wage; Cognitive skill; Task (project management); Wage growth; Cognition; Labour economics; Dreyfus model of skill acquisition; Motor skill; Psychology; Economics; Developmental psychology; Management; Economic growth","score_opus":0.018336796865426545,"score_gpt":0.23154500600800476,"score_spread":0.2132082091425782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495500235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91835976,0.0060257534,0.043621037,0.00043215998,0.0035986118,0.00061941316,0.017528525,0.00009421607,0.0097205555],"genre_scores_gemma":[0.9907138,0.0016789279,0.004557418,0.00013338914,0.00041598396,0.000031371554,0.0023666336,0.000018423782,0.0000840592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752563,0.00004911305,0.0013695181,0.0006508891,0.00013284592,0.0002719745],"domain_scores_gemma":[0.99778,0.00011620157,0.0010339831,0.0007209986,0.0002197246,0.00012904899],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000880594,0.00032103554,0.00068857183,0.00022968762,0.0002142516,0.00013278508,0.00033421346,0.00027736518,0.000020630176],"category_scores_gemma":[0.00066658296,0.00036228166,0.00017043117,0.00015621344,0.00023170628,0.0005745106,0.00057192944,0.00037815145,0.000012873332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041781524,0.00027735942,0.011272676,0.0005976847,0.000096431235,0.00005652436,0.00015751924,0.0005290136,0.000058232883,0.98632073,0.00015940976,0.00043263618],"study_design_scores_gemma":[0.0016552802,0.00022510612,0.04812583,0.0013871301,0.00012215292,0.000341742,0.000026193482,0.0077484986,0.004584285,0.9045075,0.029199474,0.0020768177],"about_ca_topic_score_codex":0.00091515394,"about_ca_topic_score_gemma":0.0000529078,"teacher_disagreement_score":0.08181324,"about_ca_system_score_codex":0.0002563023,"about_ca_system_score_gemma":0.00013288598,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W1498736921","doi":"","title":"Business Employment Dynamics: Tabulations by Employer Size","year":2013,"lang":"en","type":"book","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business cycle; Economics; Microdata (statistics); Class (philosophy); Index (typography); Econometrics; Labour economics; Statistics; Mathematics; Computer science; Geography; Macroeconomics; Sociology; Census","score_opus":0.016561490993101224,"score_gpt":0.2066576519132513,"score_spread":0.19009616092015008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498736921","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018401275,0.0013535472,0.008769588,0.0018150663,0.001225643,0.0007845585,0.0058537675,0.00019682378,0.97816086],"genre_scores_gemma":[0.007126484,0.0006035181,0.00071841397,0.00086319563,0.0002700095,0.00011370727,0.0020158526,0.00017530397,0.9881135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969216,0.000019495206,0.0014539963,0.00096489425,0.00010403988,0.00053599686],"domain_scores_gemma":[0.9974609,0.00022959893,0.0008402291,0.0010410902,0.00023671551,0.00019149245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048199366,0.0005806111,0.0010612045,0.00021343191,0.00015695763,0.00030120008,0.0005660156,0.0006413768,0.010337341],"category_scores_gemma":[0.00018268974,0.0006375852,0.00026539536,0.00023862878,0.00010119866,0.00027907593,0.00022810373,0.0004214009,0.0032179442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003943241,0.000094076524,0.0024272935,0.00006617998,0.00015399828,0.0000027729914,0.000022151777,0.00001522504,4.5760083e-7,0.74835765,0.24835517,0.00050106307],"study_design_scores_gemma":[0.0003286434,0.00002189112,0.003849234,0.000037140573,0.000019935234,0.0000015682715,0.0000041912276,0.0018691102,2.7040068e-7,0.40925995,0.5837888,0.0008192551],"about_ca_topic_score_codex":0.0016145301,"about_ca_topic_score_gemma":0.0002858158,"teacher_disagreement_score":0.33909774,"about_ca_system_score_codex":0.001041627,"about_ca_system_score_gemma":0.00017831063,"threshold_uncertainty_score":0.99960756},"labels":[],"label_agreement":null},{"id":"W1498851623","doi":"10.2139/ssrn.435380","title":"The Labor Market Effects of Payroll Taxes in a Middle-Income Country: Evidence from Colombia","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Centre for International Governance Innovation","funders":"","keywords":"Payroll; Payroll tax; Earnings; Economics; Labour economics; Wage; Wage growth; Tax deferral; Social security; Production (economics); Labor demand; Tax reform; State income tax; Gross income; Public economics; Market economy; Macroeconomics","score_opus":0.009799769694022362,"score_gpt":0.2094470213070234,"score_spread":0.19964725161300104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498851623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567914,0.040225077,0.00059710775,0.00039769022,0.000541005,0.00022224677,0.00010759348,0.00000802069,0.0011098469],"genre_scores_gemma":[0.96439236,0.034325343,0.00008125346,0.00008214175,0.00006389954,0.00001605015,0.0000017549689,0.00002276419,0.0010144279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707955,0.00024349501,0.00086645916,0.00028966513,0.000101625075,0.0014192268],"domain_scores_gemma":[0.9976636,0.0011636305,0.0006773509,0.0003555442,0.00006938895,0.00007044068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00645926,0.00018282626,0.00045693092,0.00011826251,0.00016899237,0.00010809576,0.00046751986,0.000116924915,0.00006545616],"category_scores_gemma":[0.0020452926,0.00015335983,0.000118804,0.00047884756,0.000079971505,0.00023505032,0.000039825634,0.0010762733,0.000014220838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012387072,0.00007648772,0.30298674,0.0000329656,0.0001363619,0.000007297489,0.00012794128,0.0000103917555,0.000030296977,0.6959493,0.00003661559,0.0004817267],"study_design_scores_gemma":[0.0010724129,0.00019721276,0.11386973,0.00016462881,0.00001328209,0.000013860537,0.00016878147,0.00036842836,0.000047602713,0.8808833,0.0029860374,0.00021474551],"about_ca_topic_score_codex":0.0016258962,"about_ca_topic_score_gemma":0.00839782,"teacher_disagreement_score":0.189117,"about_ca_system_score_codex":0.0008162183,"about_ca_system_score_gemma":0.0006168668,"threshold_uncertainty_score":0.6253832},"labels":[],"label_agreement":null},{"id":"W1499467057","doi":"10.3386/w7658","title":"Dropout and Enrollment Trends in the Post-War Period: What Went Wrong in the 1970s?","year":2000,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Period (music); Dropout (neural networks); History; Economic history; Demography; Demographic economics; Political science; Economics; Sociology; Computer science; Art","score_opus":0.23895191775881242,"score_gpt":0.44856667553853924,"score_spread":0.20961475777972682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499467057","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3829788,0.014242119,8.6035413e-7,0.014093113,0.0005670677,0.000925758,0.00076928997,0.00000633263,0.58641666],"genre_scores_gemma":[0.97485304,0.02222737,0.000017685472,0.00019961476,0.0003283729,0.00018232153,0.00054470316,0.000029373363,0.001617495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99635714,0.00035180405,0.0014935686,0.00073073956,0.00055098574,0.00051576574],"domain_scores_gemma":[0.9977583,0.00089758943,0.00046358467,0.000589898,0.00023430915,0.000056310706],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0205318,0.0002677945,0.0006948512,0.0015893354,0.00014586166,0.00038266854,0.0009904299,0.00033875962,0.0010438272],"category_scores_gemma":[0.00042125618,0.00020982343,0.00019952831,0.00047076057,0.00026338204,0.00038372524,0.00015229225,0.0010796235,0.00006184178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016580978,0.0005423075,0.055115633,0.00019138001,0.00017649098,0.000043619904,0.0043858616,0.00035949517,0.0000011217509,0.9130807,0.004169956,0.021767605],"study_design_scores_gemma":[0.001556392,0.00028021052,0.16036883,0.00019926298,0.000010628058,0.00005179494,0.00310533,0.0029010733,0.0000010965897,0.7102403,0.12064796,0.0006371165],"about_ca_topic_score_codex":0.008198324,"about_ca_topic_score_gemma":0.0033430252,"teacher_disagreement_score":0.59187424,"about_ca_system_score_codex":0.0014504717,"about_ca_system_score_gemma":0.000605402,"threshold_uncertainty_score":0.99986935},"labels":[],"label_agreement":null},{"id":"W1499579542","doi":"","title":"Les effets de cohorte sur les gains annuels selon le domaine d'etudes des diplomes universitaires de la Colombie-Britannique","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.0317590978291521,"score_gpt":0.29258640090329224,"score_spread":0.26082730307414015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499579542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9158205,0.0038846245,0.00034346234,0.0012324308,0.00032875888,0.0009830998,0.0012465314,0.000072791896,0.07608781],"genre_scores_gemma":[0.9120926,0.07662441,0.0035429788,0.00009618441,0.00014950206,0.00017088675,0.00013472051,0.00018654931,0.0070021246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991871,0.002158124,0.0017237068,0.0018594273,0.00016826495,0.0022195051],"domain_scores_gemma":[0.9935452,0.0033963458,0.0008039415,0.0013511517,0.00035076312,0.00055264385],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.012871284,0.00082391704,0.0017074404,0.00096998335,0.0011101813,0.00064639765,0.0014714749,0.0016666391,0.00022676273],"category_scores_gemma":[0.002621759,0.0011575867,0.0005836957,0.00049188454,0.0023357698,0.00046252302,0.0011344252,0.0027291737,0.000015157183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023491353,0.0009812474,0.6544787,0.0007709958,0.00051346974,0.0002873165,0.0010529357,0.009049039,0.00014911861,0.2815361,0.00007322097,0.050872926],"study_design_scores_gemma":[0.0026852959,0.00028215477,0.6802587,0.0006540156,0.00004274697,0.000068276684,0.0016379437,0.009586203,0.00018974238,0.25186512,0.05109689,0.0016329312],"about_ca_topic_score_codex":0.010540589,"about_ca_topic_score_gemma":0.006607234,"teacher_disagreement_score":0.07273979,"about_ca_system_score_codex":0.0063906787,"about_ca_system_score_gemma":0.0013461397,"threshold_uncertainty_score":0.9996294},"labels":[],"label_agreement":null},{"id":"W1499768260","doi":"","title":"Job Creation and Destruction in Northern Ireland: 1973-1993","year":2004,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Job creation; Northern ireland; Turnover; Labour economics; Job loss; Business; Economics; Management; Economic growth; Unemployment; Sociology","score_opus":0.013508355313317564,"score_gpt":0.21786673692831493,"score_spread":0.20435838161499736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499768260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99129707,0.0005688621,0.002057789,0.002066292,0.00052262645,0.00019715299,0.000052856896,0.00008696239,0.0031504002],"genre_scores_gemma":[0.9955898,0.00040234457,0.0038132453,0.000042146647,0.000039879444,0.000024112402,0.000023170998,0.000015327765,0.000049951534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865884,0.000005945205,0.00067392696,0.00039107198,0.00004254869,0.00022768388],"domain_scores_gemma":[0.99918246,0.000011646023,0.00034281076,0.00036814032,0.000053783162,0.000041153555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004374249,0.00015511682,0.00036864585,0.00078060507,0.00007543458,0.000028173377,0.00022653965,0.00031603046,0.000013997515],"category_scores_gemma":[0.00027789894,0.00017693733,0.00005226197,0.0007470892,0.00027327248,0.0004222886,0.000081112266,0.00023927691,0.00002423315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015322415,0.00005783166,0.38493782,0.00002546682,0.00001768245,0.00000765415,0.000052480304,0.00042055125,0.00009377399,0.6112321,0.0000039369293,0.003135355],"study_design_scores_gemma":[0.0019466524,0.00011142168,0.15910001,0.00007479649,0.000008771013,0.000022997898,0.000065634464,0.0005132965,0.00039973078,0.8311106,0.0063245962,0.0003215165],"about_ca_topic_score_codex":0.0016702383,"about_ca_topic_score_gemma":0.0058100605,"teacher_disagreement_score":0.22583781,"about_ca_system_score_codex":0.00016727042,"about_ca_system_score_gemma":0.00004405792,"threshold_uncertainty_score":0.7215295},"labels":[],"label_agreement":null},{"id":"W1500120704","doi":"10.1017/cbo9780511492549.012","title":"Intergenerational Influences on the Receipt of Unemployment Insurance in Canada and Sweden","year":2000,"lang":"en","type":"article","venue":"Cambridge University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Statistics Canada","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Receipt; Unemployment; Demographic economics; Parental leave; Spurious relationship; Longitudinal data; Demography; Economics; Sociology; Work (physics); Economic growth","score_opus":0.021933554998859392,"score_gpt":0.18640726521320977,"score_spread":0.16447371021435037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500120704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8995938,0.000051747622,0.0000074703235,0.00013573687,0.00005371746,0.00008238529,0.00032909887,0.0000029934506,0.09974306],"genre_scores_gemma":[0.9896133,0.000112765105,0.000012420228,0.00015617092,0.000008986752,8.9794503e-7,0.000003509803,0.0000032753587,0.010088685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994809,0.000031730386,0.00018953321,0.00016223495,0.000035293422,0.000100325386],"domain_scores_gemma":[0.9996492,0.00006482604,0.00008817828,0.00014971811,0.000017829076,0.000030196206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017477608,0.000067746776,0.00013834826,0.000038198807,0.000048193728,0.000012120899,0.00015927947,0.000024228386,0.000014511191],"category_scores_gemma":[0.000015518908,0.000065684486,0.000020282567,0.000031376465,0.000050265993,0.000046206296,0.000035228808,0.000078646226,8.6071805e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058125548,0.000014537646,0.15778245,0.0000108554195,0.000020287034,0.000007217694,0.00006904409,0.00029380142,0.000009713793,0.8404644,0.00045863178,0.0008109158],"study_design_scores_gemma":[0.00081702793,0.000054378022,0.88689345,0.00005534453,0.0000045943157,0.0000014337842,0.00011272937,0.003649879,0.00038027982,0.0004027838,0.10732109,0.00030701648],"about_ca_topic_score_codex":0.6154875,"about_ca_topic_score_gemma":0.12027084,"teacher_disagreement_score":0.84006166,"about_ca_system_score_codex":0.00015089338,"about_ca_system_score_gemma":0.00006610028,"threshold_uncertainty_score":0.89578193},"labels":[],"label_agreement":null},{"id":"W1501463996","doi":"10.3917/ecop.175.0147","title":"La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ?","year":2007,"lang":"fr","type":"article","venue":"Économie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.015351468962331308,"score_gpt":0.261160789643952,"score_spread":0.2458093206816207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501463996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86281407,0.002500261,0.10235209,0.006727776,0.0022170926,0.00061811856,0.00015536394,0.000085821484,0.02252942],"genre_scores_gemma":[0.98084825,0.0037726713,0.005560754,0.00039597417,0.00050352444,0.000026710062,0.00016445665,0.00007173039,0.008655897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99646306,0.0007325862,0.0013834137,0.00067746564,0.000084568186,0.00065888045],"domain_scores_gemma":[0.9958278,0.0023883397,0.0009005273,0.00059732655,0.0000783763,0.00020761468],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011548775,0.00035469394,0.0005640293,0.00031238064,0.00036972706,0.0003018912,0.0003277909,0.0008483102,0.00054398616],"category_scores_gemma":[0.0010473459,0.00044267214,0.00024197031,0.00028854638,0.00012859113,0.0013142378,0.00026911576,0.00068348093,0.00031058118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004751172,0.0015681634,0.08140652,0.0006391556,0.00012815381,0.00004746108,0.011929984,0.0019213487,0.0005651501,0.78357077,0.00543698,0.11231122],"study_design_scores_gemma":[0.005063263,0.00024484206,0.22927608,0.0008771874,0.000070704664,0.000039719875,0.0027369778,0.114663675,0.0016397315,0.23670657,0.40726474,0.0014165043],"about_ca_topic_score_codex":0.0013638546,"about_ca_topic_score_gemma":0.00023346866,"teacher_disagreement_score":0.54686415,"about_ca_system_score_codex":0.0012063005,"about_ca_system_score_gemma":0.00023060603,"threshold_uncertainty_score":0.99980253},"labels":[],"label_agreement":null},{"id":"W1502210375","doi":"10.3386/w18387","title":"Duration Dependence and Labor Market Conditions: Theory and Evidence from a Field Experiment","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"Booth School of Business, University of Chicago; Connaught Fund; University of Chicago","keywords":"Duration (music); Unemployment; Spell; Economics; Depreciation (economics); Callback; Labour economics; Human capital; Ranking (information retrieval); Econometrics; Macroeconomics; Capital formation","score_opus":0.21916323751487596,"score_gpt":0.44762249438848545,"score_spread":0.2284592568736095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502210375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93924934,0.02655474,0.00034293256,0.0024347678,0.00053010666,0.0007504588,0.0016978636,0.00001733206,0.028422475],"genre_scores_gemma":[0.9934513,0.004678059,0.00070011185,0.000096914395,0.00026110274,0.00017654983,0.0001396065,0.000019061681,0.00047732316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774075,0.0002781997,0.0008654327,0.0006765108,0.00016067896,0.00027840768],"domain_scores_gemma":[0.994934,0.0038187243,0.0004898198,0.00037784784,0.0002541656,0.0001254118],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008024089,0.00019020928,0.0004468636,0.0003655899,0.00013109618,0.00017553213,0.00032811612,0.0003313962,0.0017876251],"category_scores_gemma":[0.002497232,0.00022155618,0.00006916318,0.00007583978,0.00021294855,0.00039916902,0.00064327294,0.00054109434,0.00003775234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001425521,0.000049904615,0.041068505,0.000116799965,0.00010713475,8.6036056e-7,0.00038208716,0.000021456786,0.000093729235,0.9571916,0.00059633085,0.00022906791],"study_design_scores_gemma":[0.00024319944,0.000034941007,0.052362666,0.00015932467,0.0000061843502,0.0000014819178,0.00008720166,0.0026056822,0.000234141,0.9439073,0.00015159069,0.00020625872],"about_ca_topic_score_codex":0.0024416146,"about_ca_topic_score_gemma":0.00012785466,"teacher_disagreement_score":0.054201946,"about_ca_system_score_codex":0.00036349698,"about_ca_system_score_gemma":0.00020439619,"threshold_uncertainty_score":0.9991249},"labels":[],"label_agreement":null},{"id":"W1502447985","doi":"","title":"The Effects of Wealth, and Unemployment Benefits on Search Behavior and Labor Market Transitions","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Economics; Margin (machine learning); Search theory; Reservation wage; Affect (linguistics); Labour economics; Discouraged worker; Reservation; Demographic economics; Econometrics; Microeconomics; Macroeconomics; Unemployment rate; Psychology","score_opus":0.025230015019374857,"score_gpt":0.2869566627305631,"score_spread":0.26172664771118825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502447985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98326,0.0025202492,0.0000025062886,0.0013732557,0.00037933185,0.0014645198,0.0011889786,0.00001495209,0.009796207],"genre_scores_gemma":[0.9192737,0.079546854,0.00010537394,0.000070233335,0.00006275803,0.00037050797,0.000030900526,0.000054186243,0.00048553754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970194,0.0002058583,0.0010101177,0.00095354934,0.000116683615,0.0006943553],"domain_scores_gemma":[0.9972046,0.0012949096,0.0002880255,0.0009027915,0.00009120266,0.00021847288],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035224615,0.000314375,0.0007205472,0.00045237262,0.00032901485,0.00019322961,0.0004427349,0.00038354014,0.000030554125],"category_scores_gemma":[0.0004086156,0.00031233663,0.00012689945,0.00016522253,0.0004990346,0.00006891349,0.00054860616,0.0012801975,0.0000025007375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048667134,0.0010545435,0.14515062,0.002610318,0.00034705448,0.000054213502,0.0016374395,0.0033372345,0.000020148942,0.6483585,0.000019261935,0.19692397],"study_design_scores_gemma":[0.0032209302,0.00087711104,0.84353703,0.0010755388,0.00003291634,0.000010742796,0.00042527867,0.0060186055,0.000102636004,0.14044186,0.0032129986,0.001044367],"about_ca_topic_score_codex":0.0004949509,"about_ca_topic_score_gemma":0.00065740687,"teacher_disagreement_score":0.6983864,"about_ca_system_score_codex":0.0006022773,"about_ca_system_score_gemma":0.00021240771,"threshold_uncertainty_score":0.9999329},"labels":[],"label_agreement":null},{"id":"W1502643846","doi":"","title":"Do Earnings Subsidies Affect Job Choice? The Impact of SSP Subsidies on Wage Growth","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Wage; Earnings; Labour economics; Wage growth; Reservation wage; Affect (linguistics); Economics","score_opus":0.0406146636184395,"score_gpt":0.3148900232762445,"score_spread":0.274275359657805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502643846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88168836,0.0011313013,0.000005793161,0.00045766984,0.00042104762,0.00088455353,0.0011426278,0.00003912553,0.11422955],"genre_scores_gemma":[0.9868728,0.010584179,0.00009428128,0.00003850142,0.00034686676,0.00020215257,0.0001207848,0.0001274609,0.001612957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944935,0.0005107113,0.0019650979,0.0015351633,0.000171641,0.0013238837],"domain_scores_gemma":[0.9936085,0.0026808647,0.0013118485,0.002003595,0.00020910989,0.00018613454],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0087571,0.000687963,0.0017617708,0.0010747829,0.00030315772,0.0003044256,0.0016413975,0.00068250316,0.00018931866],"category_scores_gemma":[0.003198623,0.0005980097,0.0009895142,0.0004079617,0.0007115895,0.00017534777,0.0012900233,0.0027138446,0.000041575095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018426636,0.00030517954,0.93246835,0.00030541842,0.00045291104,0.000018704224,0.0006459474,0.010433224,0.00001052719,0.04916437,0.00019189499,0.005819177],"study_design_scores_gemma":[0.00076470035,0.00029996588,0.8959007,0.00023930825,0.000010823581,0.0000034037434,0.00013459755,0.003963316,0.000029317738,0.09662373,0.0012720136,0.00075811427],"about_ca_topic_score_codex":0.008678233,"about_ca_topic_score_gemma":0.0013443155,"teacher_disagreement_score":0.1126166,"about_ca_system_score_codex":0.0016393623,"about_ca_system_score_gemma":0.00030682734,"threshold_uncertainty_score":0.99964714},"labels":[],"label_agreement":null},{"id":"W1503347400","doi":"10.1177/001979391006300201","title":"The Long-Term Effects of Unemployment Insurance: Evidence from New Brunswick and Maine, 1940–1991","year":2010,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Generosity; Unemployment; Demographic economics; Distribution (mathematics); Economics; Demography; Labour economics; Political science; Economic growth; Sociology","score_opus":0.037810687021110276,"score_gpt":0.26397614674624836,"score_spread":0.22616545972513807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503347400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8137372,0.18150619,0.000041680676,0.003313437,0.0005790643,0.0005348032,0.000104424405,0.00001126474,0.00017189741],"genre_scores_gemma":[0.8495489,0.14879754,0.00012918685,0.00018210069,0.00024137925,0.000018444945,0.000022227197,0.0000137206325,0.0010465205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871564,0.00006253034,0.0007224658,0.00028357064,0.00005562768,0.00016013932],"domain_scores_gemma":[0.998176,0.000855152,0.0004362305,0.00036921678,0.000049098227,0.00011432038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008229754,0.00014475887,0.0004317333,0.000041624156,0.00017360238,0.00007146312,0.00016648327,0.00015089336,0.00013778244],"category_scores_gemma":[0.0015051102,0.00011090102,0.000066296336,0.00032594564,0.00011819945,0.00017999079,0.00007376045,0.00037870495,0.00002256821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015790965,0.00003241235,0.8491126,0.0002223465,0.000059169135,0.0000020122657,0.00005860557,8.551683e-7,0.0000128751735,0.11701884,0.00047600752,0.032988496],"study_design_scores_gemma":[0.0008516612,0.000066763685,0.9363641,0.0019197877,0.000059588325,0.000002455069,0.0000018153962,0.00004501685,0.000012719838,0.022785986,0.037674222,0.00021587836],"about_ca_topic_score_codex":0.0029399847,"about_ca_topic_score_gemma":0.0009296252,"teacher_disagreement_score":0.09423286,"about_ca_system_score_codex":0.000018060804,"about_ca_system_score_gemma":0.000094103794,"threshold_uncertainty_score":0.45224124},"labels":[],"label_agreement":null},{"id":"W1503836096","doi":"","title":"Unemployment Insurance Eligibility, Moral Hazard and Equilibrium Unemployment","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Generosity; Economics; Moral hazard; Matching (statistics); Productivity; Parameterized complexity; Business cycle; Hazard; Labour economics; Value (mathematics); Microeconomics; Macroeconomics; Computer science; Incentive","score_opus":0.05684025361636844,"score_gpt":0.3216922629972515,"score_spread":0.26485200938088305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503836096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203214,0.001998121,0.00001096299,0.0013344304,0.00077046,0.0011034504,0.0010248235,0.00009099165,0.07334538],"genre_scores_gemma":[0.97408956,0.023374602,0.0007468622,0.0002551304,0.00022946055,0.00021374508,0.0001245058,0.00010582266,0.0008603156],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99430954,0.00021143736,0.0020089615,0.0019900226,0.00017047317,0.0013095463],"domain_scores_gemma":[0.9968579,0.0002857767,0.00049319246,0.0018633347,0.000109919354,0.00038988274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048936997,0.00063969154,0.0014659027,0.00073251175,0.00013743264,0.00047670823,0.0010061389,0.0006980657,0.00007708671],"category_scores_gemma":[0.00032087098,0.00079496554,0.00028726665,0.00025930506,0.00043892505,0.00021706634,0.0017479043,0.0018818419,0.000028141454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001977084,0.0006982141,0.7550526,0.00071941974,0.00026846927,0.00007314555,0.00040561607,0.013738667,0.00002213106,0.1415221,0.0001267045,0.08717518],"study_design_scores_gemma":[0.0013151637,0.00022963337,0.20198078,0.00023049334,0.000007175927,0.000007781789,0.000058414265,0.02947146,0.000039102502,0.75412506,0.011224337,0.0013105744],"about_ca_topic_score_codex":0.00031879847,"about_ca_topic_score_gemma":0.0003856979,"teacher_disagreement_score":0.612603,"about_ca_system_score_codex":0.0016433982,"about_ca_system_score_gemma":0.00024633794,"threshold_uncertainty_score":0.99945015},"labels":[],"label_agreement":null},{"id":"W1503862937","doi":"10.2139/ssrn.920642","title":"Does the Quality of Training Programs Matter? Evidence from Bidding Processes Data","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bidding; Quality (philosophy); Training (meteorology); Business; Computer science; Marketing; Geography; Physics","score_opus":0.08334429793984235,"score_gpt":0.29061500862330913,"score_spread":0.20727071068346678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503862937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726958,0.0077338615,0.016317986,0.0019977393,0.00026285992,0.00015358561,0.0002255583,0.000017869648,0.0005946977],"genre_scores_gemma":[0.9963918,0.0024866571,0.00033216775,0.000054612534,0.00035372356,0.000006287225,0.000046135097,0.000020169475,0.00030848966],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973406,0.00008694228,0.0010178363,0.00037776702,0.00010667451,0.0010701559],"domain_scores_gemma":[0.9979417,0.0003214789,0.0009950749,0.00062038744,0.00008704168,0.000034344193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007078436,0.00015009647,0.00037579605,0.00006685876,0.00018851506,0.00017513103,0.001092195,0.00006494277,0.000072282375],"category_scores_gemma":[0.00048633027,0.00009237494,0.000084835876,0.00031529946,0.00008759652,0.0005626054,0.0001430352,0.0007502867,0.00001618367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005485211,0.00012351752,0.63295877,0.00007152071,0.00018097211,0.0000010990553,0.00060005154,0.00003903742,0.000066750865,0.35196728,0.000027423215,0.013908763],"study_design_scores_gemma":[0.0002555444,0.00004283053,0.05365414,0.000087314766,0.000014806139,0.000008244099,0.0010979963,0.0004588317,0.000012737008,0.9433294,0.00084044586,0.00019772806],"about_ca_topic_score_codex":0.005588511,"about_ca_topic_score_gemma":0.008863997,"teacher_disagreement_score":0.5913621,"about_ca_system_score_codex":0.00022779962,"about_ca_system_score_gemma":0.0005366128,"threshold_uncertainty_score":0.8448194},"labels":[],"label_agreement":null},{"id":"W1505358606","doi":"10.32920/ryerson.14637153.v1","title":"The Decision of Work and Study and Employment Outcomes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Affect (linguistics); Work (physics); Psychology; Engineering","score_opus":0.0374191181814866,"score_gpt":0.26891845786335733,"score_spread":0.23149933968187072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505358606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927825,0.003382567,0.0010614631,0.0006465515,0.0004846568,0.00037428318,0.000057102923,0.000009540759,0.0012013625],"genre_scores_gemma":[0.99695265,0.0016512822,0.0007345785,0.000058849342,0.000013398829,0.000024464067,0.000004998518,0.000013568673,0.00054617965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985613,0.000033647393,0.00075650704,0.0004609311,0.000049876468,0.00013773529],"domain_scores_gemma":[0.99853754,0.00041090263,0.00035138777,0.00060397893,0.000046504058,0.000049699294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014405621,0.00016910525,0.0005720042,0.00006431895,0.000090151865,0.00023857254,0.00019166297,0.00010718861,0.000041355794],"category_scores_gemma":[0.00023060216,0.00012259428,0.00008029397,0.000088314555,0.000055955923,0.000035116725,0.0011571718,0.00019841142,0.0000011279684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014449106,0.00011714612,0.94331443,0.000020191717,0.00013887073,0.0000020725395,0.00039945717,0.000008541059,5.5287202e-8,0.04694506,0.000021402782,0.009018345],"study_design_scores_gemma":[0.0003023729,0.00003364017,0.88547254,0.000020631758,0.000011194265,2.0756706e-7,0.00027408986,0.0001605529,6.272837e-7,0.112921305,0.00064773613,0.00015510863],"about_ca_topic_score_codex":0.00060841005,"about_ca_topic_score_gemma":0.00057433173,"teacher_disagreement_score":0.06597624,"about_ca_system_score_codex":0.00002906406,"about_ca_system_score_gemma":0.000015609754,"threshold_uncertainty_score":0.499925},"labels":[],"label_agreement":null},{"id":"W1506657519","doi":"10.7202/1026027ar","title":"Dynamics of Skill Transfer Procedures in the Electrical Industry: a comparative study in France and Japan1","year":2014,"lang":"en","type":"article","venue":"Management international","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dominance (genetics); Disconnection; Context (archaeology); Transfer (computing); Labour economics; Knowledge transfer; Dynamics (music); Process (computing); Work (physics); Business; Industrial organization; Operations management; Economics; Management; Computer science; Engineering; Psychology; Mechanical engineering; Political science; Geography","score_opus":0.019920204525883174,"score_gpt":0.2581432280629149,"score_spread":0.23822302353703173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506657519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97793394,0.000029806666,0.0013251129,0.0009071633,0.00006761506,0.00033736264,0.0000338955,0.0000036860922,0.019361386],"genre_scores_gemma":[0.9994545,0.000026138941,0.00007173746,0.00019095567,0.000015933596,0.000049685492,0.000010096235,0.0000042337165,0.00017670309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991901,0.00003550183,0.000387886,0.0002099082,0.00006913866,0.00010745224],"domain_scores_gemma":[0.9997234,0.00006531013,0.000068714835,0.00011422165,0.00001650263,0.000011880744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082521903,0.000079329184,0.00018554888,0.000216093,0.000016005974,0.0000346257,0.0002613302,0.000043596912,0.00002602153],"category_scores_gemma":[0.000035924295,0.00007136245,0.000021722728,0.00024896974,0.000027538848,0.000075838405,0.000040996947,0.00017975175,0.00000257206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010499309,0.0002936631,0.5395336,0.000009716569,0.000024062196,0.0000014139902,0.0009427986,0.00011421463,9.155628e-8,0.45873004,0.000009735458,0.00033018336],"study_design_scores_gemma":[0.0008407828,0.00006161189,0.9105219,0.000012333199,0.0000025535198,3.7589368e-7,0.0008102118,0.044442568,4.1184276e-7,0.042891227,0.00033387518,0.00008213968],"about_ca_topic_score_codex":0.00021779882,"about_ca_topic_score_gemma":0.0008882694,"teacher_disagreement_score":0.4158388,"about_ca_system_score_codex":0.000052744643,"about_ca_system_score_gemma":0.0000032382109,"threshold_uncertainty_score":0.2910076},"labels":[],"label_agreement":null},{"id":"W1507082673","doi":"10.1017/cbo9780511520853.003","title":"Some contributions of sociology to the understanding of career","year":2000,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prosperity; Sociology; Human capital theory; Perspective (graphical); Sociological theory; Positive economics; Context (archaeology); Social reproduction; Action (physics); Economic sociology; Human capital; Social capital; Neoclassical economics; Epistemology; Social science; Economics; Economic growth","score_opus":0.05252209189058908,"score_gpt":0.20920665238100747,"score_spread":0.1566845604904184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507082673","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021879699,0.0006118143,0.0022924494,0.00018014746,0.00026247557,0.0003561271,0.01143919,0.000017514903,0.9826523],"genre_scores_gemma":[0.40937832,0.00040548862,0.000024264878,0.000119365985,0.00010488735,8.272652e-7,0.00007620381,0.000026643831,0.589864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895376,0.000026081489,0.00043759844,0.00031988893,0.000051925235,0.0002107324],"domain_scores_gemma":[0.99868846,0.00012777575,0.0005038209,0.0005067055,0.000096284115,0.00007698215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003516994,0.00019140443,0.0006208021,0.00019174335,0.00012360189,0.000010193116,0.00046644264,0.00030129933,0.000020988815],"category_scores_gemma":[0.00002724182,0.00020657692,0.00026320663,0.000013352091,0.00035147349,0.000044867997,0.00019384989,0.0002651112,0.000010083182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005251661,0.0000084652975,0.000028083721,0.000035854526,0.00019327183,0.000007048576,0.00014052086,0.000022888093,0.00000458771,0.99753904,0.001932403,0.00003534317],"study_design_scores_gemma":[0.00071554724,0.00010305589,0.00018857486,0.000091700786,0.00011898275,0.0000019997403,0.00011199878,0.00012302997,0.00004981796,0.07214283,0.925892,0.00046044466],"about_ca_topic_score_codex":0.0004575911,"about_ca_topic_score_gemma":0.000008436417,"teacher_disagreement_score":0.9253962,"about_ca_system_score_codex":0.00035589997,"about_ca_system_score_gemma":0.00005823809,"threshold_uncertainty_score":0.84239626},"labels":[],"label_agreement":null},{"id":"W1507999071","doi":"10.31235/osf.io/jtnea","title":"Unemployment benefits and formality in the Brazilian labor market","year":2018,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Formality; Unemployment; Labour economics; Economics; Political science; Economic growth","score_opus":0.02580044263387679,"score_gpt":0.2361896814489773,"score_spread":0.21038923881510052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507999071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8905675,0.00038665702,0.00010027838,0.0033584537,0.00014435647,0.00016689264,0.00017108818,0.000015296937,0.10508947],"genre_scores_gemma":[0.99617404,0.00022802889,0.0002509286,0.0025094121,0.00007846456,0.000015440339,0.0000052071027,0.000008312707,0.0007301743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990164,0.000033039374,0.00040511056,0.00026746478,0.000034378743,0.00024362314],"domain_scores_gemma":[0.99941856,0.00007660807,0.00009907086,0.00033410895,0.00002736294,0.000044304295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019314063,0.000104323575,0.00018478831,0.000071133705,0.00009011357,0.00009247183,0.000210079,0.000058957467,0.00069198105],"category_scores_gemma":[0.0000818345,0.000081194965,0.00003247154,0.0002500881,0.000081044964,0.00015927265,0.000076064374,0.000087992645,0.000051597126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012885882,0.00004040485,0.39521846,0.000007162581,0.0000060699704,8.0224277e-7,0.00025587593,4.778486e-7,3.6979102e-7,0.60175484,0.0004912203,0.002211405],"study_design_scores_gemma":[0.00040183598,0.00006709865,0.8417222,0.000006492367,0.0000016094199,0.0000020795262,0.00010316352,0.0020312006,0.00000771123,0.11488237,0.04061168,0.00016258027],"about_ca_topic_score_codex":0.0008015307,"about_ca_topic_score_gemma":0.001864289,"teacher_disagreement_score":0.4868725,"about_ca_system_score_codex":0.000032819193,"about_ca_system_score_gemma":0.000007712383,"threshold_uncertainty_score":0.7576707},"labels":[],"label_agreement":null},{"id":"W1508035582","doi":"","title":"Wrong Origin or Wrong Neighborhood: Explaining Lower Labor Market Performance of French Individuals of African Origin","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Quarter (Canadian coin); Residence; Economics; Nested logit; Cluster (spacecraft); Quality (philosophy); Order (exchange); Logit; Labour economics; Econometrics; Rest (music); Panel data; Demographic economics; Geography","score_opus":0.046412818949533884,"score_gpt":0.2994987316300443,"score_spread":0.25308591268051045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508035582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85829437,0.0005049147,0.000019040875,0.00018758605,0.00069830933,0.0008188243,0.0018992686,0.0000313431,0.13754633],"genre_scores_gemma":[0.9794989,0.015321106,0.0020041375,0.000060553582,0.00022950787,0.00012195142,0.00011906869,0.000108680775,0.0025361017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99335235,0.00030664526,0.0031715452,0.0015748221,0.00027250417,0.0013221301],"domain_scores_gemma":[0.9944906,0.0009947824,0.0019645176,0.0019855613,0.0002764876,0.00028803363],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008439352,0.00065794424,0.002174237,0.0015460727,0.00013703194,0.00016413075,0.0017596089,0.00080978835,0.0012278236],"category_scores_gemma":[0.0011499651,0.00072338426,0.00037577437,0.0007610259,0.0004424138,0.0003534847,0.0011650581,0.0019930888,0.000014801045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006995102,0.0009743029,0.8638537,0.0015093518,0.00053723285,0.000046103793,0.0014172244,0.0056144916,0.00001847137,0.051798232,0.00015739929,0.07337397],"study_design_scores_gemma":[0.005338111,0.0020623407,0.7312582,0.0025431323,0.000068157875,0.000017366754,0.0013079462,0.10629912,0.00021413814,0.087744795,0.05923129,0.003915371],"about_ca_topic_score_codex":0.0006660247,"about_ca_topic_score_gemma":0.00032333398,"teacher_disagreement_score":0.13501023,"about_ca_system_score_codex":0.0011080295,"about_ca_system_score_gemma":0.00088766904,"threshold_uncertainty_score":0.99968517},"labels":[],"label_agreement":null},{"id":"W1508423531","doi":"","title":"Learning and earning in Africa : where are the returns to education high?","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Tanzania; Wage; Informal sector; Economics; Labour economics; Productivity; Selection (genetic algorithm); Demographic economics; Business; Economic growth; Finance","score_opus":0.02850785564672572,"score_gpt":0.2881078697480998,"score_spread":0.2596000141013741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508423531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92967945,0.00078814384,0.000005040799,0.0030960646,0.0007173641,0.00073375896,0.00009451281,0.00002284862,0.064862795],"genre_scores_gemma":[0.98486453,0.010650601,0.00048691995,0.00009169045,0.00024541694,0.0003012937,0.00003226894,0.00006721679,0.0032600388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967784,0.00025646354,0.0009861719,0.0011383188,0.000082077146,0.00075854594],"domain_scores_gemma":[0.9977866,0.0005631428,0.0005107893,0.0008523383,0.00009515534,0.00019197301],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005804697,0.0003034179,0.0006834803,0.0007776398,0.00022692654,0.00041426628,0.00068554014,0.00056584604,0.000099018565],"category_scores_gemma":[0.0016832141,0.0003192928,0.000100632,0.00030919065,0.00015785938,0.00011703406,0.0012711849,0.0041527813,0.000024355935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012297009,0.0003101089,0.7735253,0.0004419894,0.00008470764,0.000015150494,0.0055804327,0.007931741,0.000033114167,0.085365735,0.000098528806,0.12649024],"study_design_scores_gemma":[0.0009083124,0.00016824779,0.41845343,0.00076937495,0.000007909339,0.0000082288825,0.007841611,0.018981509,0.000007608528,0.23893829,0.3124199,0.0014955992],"about_ca_topic_score_codex":0.0012776856,"about_ca_topic_score_gemma":0.0066846646,"teacher_disagreement_score":0.35507187,"about_ca_system_score_codex":0.0007168693,"about_ca_system_score_gemma":0.00029928057,"threshold_uncertainty_score":0.9999259},"labels":[],"label_agreement":null},{"id":"W1508647825","doi":"","title":"Labour Market Matters - January 2013","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Marketing; Business; The Internet; Goods and services; Apartment; Matching (statistics); Economics; Political science; Economy; Law","score_opus":0.031082569398084854,"score_gpt":0.2765020361076018,"score_spread":0.24541946670951698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508647825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63916147,0.00093433354,0.000023306471,0.005762521,0.0019490648,0.0014836051,0.001912608,0.00008888611,0.34868422],"genre_scores_gemma":[0.90305316,0.043473292,0.0020081531,0.0020818673,0.0007359165,0.0010316272,0.0003417721,0.0002910536,0.046983175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939477,0.00029837879,0.0020554247,0.001979051,0.00014999384,0.001569494],"domain_scores_gemma":[0.99579006,0.00055581407,0.0007971564,0.0023005418,0.00015406881,0.00040232594],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0056398264,0.0006458144,0.0014355206,0.0011967588,0.00020076206,0.00062854437,0.0017046491,0.00096733397,0.0037750867],"category_scores_gemma":[0.0004635953,0.00080335786,0.00042252112,0.00028724497,0.00036292282,0.0003314758,0.0022824062,0.002779699,0.00064200023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004305336,0.0016475196,0.24988966,0.0027130314,0.0014426984,0.00027322397,0.0013791145,0.009226289,0.000022609316,0.6049629,0.035969134,0.092043325],"study_design_scores_gemma":[0.0011450971,0.000085862914,0.09243302,0.00023857459,0.000007788385,0.000009440624,0.0002481629,0.027161451,0.0000055524097,0.50186604,0.37509924,0.0016997498],"about_ca_topic_score_codex":0.003678509,"about_ca_topic_score_gemma":0.0005118324,"teacher_disagreement_score":0.3391301,"about_ca_system_score_codex":0.0014959619,"about_ca_system_score_gemma":0.0002577096,"threshold_uncertainty_score":0.99952096},"labels":[],"label_agreement":null},{"id":"W1509614267","doi":"","title":"Education, Demographics and the Irish Economic Miracle","year":2005,"lang":"en","type":"article","venue":"Quarterly Bulletin Articles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irish; Unemployment; Economics; Miracle; Educational attainment; Demographics; Quarter (Canadian coin); Demographic economics; Demographic change; Population; Unemployment rate; Labour economics; Labour supply; Population growth; Geography; Demography; Economic growth; Political science","score_opus":0.010127960634543525,"score_gpt":0.21125589440097822,"score_spread":0.2011279337664347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509614267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463146,0.0019632964,0.0003267157,0.041502263,0.00020912327,0.000182104,0.00003447694,0.000039636518,0.009427825],"genre_scores_gemma":[0.9959027,0.00017240226,0.001058793,0.0019511279,0.00021856393,0.000038965227,0.0000038276357,0.00001674421,0.0006368572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988846,0.000049743452,0.00051661226,0.00029319606,0.000026760048,0.00022909902],"domain_scores_gemma":[0.99920815,0.00014820974,0.00019311979,0.00034358155,0.000024281546,0.00008266904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010444716,0.00012168895,0.00022515643,0.0000740882,0.0001750432,0.000189202,0.0001844119,0.00005465684,0.00066502515],"category_scores_gemma":[0.00004552294,0.00010651725,0.0000835061,0.00008089806,0.00021643253,0.00010438779,0.000023175555,0.000108594555,0.0008849231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004939538,0.0001264748,0.048898965,0.000010920305,0.00003605057,3.7410615e-7,0.0012943931,0.000012055219,0.000003873491,0.90151,0.009689697,0.03836779],"study_design_scores_gemma":[0.002050221,0.00008557138,0.074234776,0.000012197666,0.00001639132,0.000012040778,0.00084013684,0.0060650175,0.000011168575,0.3515921,0.564667,0.00041342023],"about_ca_topic_score_codex":0.00043360906,"about_ca_topic_score_gemma":0.00014833287,"teacher_disagreement_score":0.55497724,"about_ca_system_score_codex":0.000039599203,"about_ca_system_score_gemma":0.000019759667,"threshold_uncertainty_score":0.999893},"labels":[],"label_agreement":null},{"id":"W1509690187","doi":"","title":"Public Policy, Technological Change, and the Evolution of Educational Attainment","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Educational attainment; Asset (computer security); Economics; Technological change; Technical change; Demographic change; General equilibrium theory; Labour economics; Demographic economics; Microeconomics; Macroeconomics; Economic growth; Productivity; Population; Sociology","score_opus":0.07129156044654221,"score_gpt":0.30811730791653186,"score_spread":0.23682574746998963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509690187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783692,0.001566159,0.000025914434,0.03303155,0.00043640114,0.0012611587,0.0005403195,0.000018106704,0.0847512],"genre_scores_gemma":[0.98853344,0.009686639,0.00030308426,0.000091377384,0.00029338952,0.00055470306,0.00004539639,0.000028178772,0.00046381148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99741405,0.00017153888,0.000999434,0.000775169,0.000090822934,0.0005489943],"domain_scores_gemma":[0.997382,0.0008056717,0.00056226423,0.0010272377,0.00010907625,0.00011374727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064423466,0.00023089463,0.00067244016,0.0008659011,0.0001534006,0.00013930922,0.00080866006,0.0006493064,0.00012863304],"category_scores_gemma":[0.002781547,0.0002092306,0.00016039872,0.00027255923,0.0015002261,0.00010537178,0.0015563751,0.0017104541,0.000007439283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003991862,0.00013805386,0.06501311,0.00007497865,0.000046569246,4.7667044e-7,0.000105653045,0.000029590985,0.000002882329,0.91411555,0.0000032321861,0.020429976],"study_design_scores_gemma":[0.0007409794,0.000027977654,0.09167065,0.000035794503,0.0000026390123,0.0000035722849,0.00013641646,0.006700956,0.0000023920227,0.8938733,0.0065549226,0.00025040994],"about_ca_topic_score_codex":0.002015163,"about_ca_topic_score_gemma":0.00076985965,"teacher_disagreement_score":0.11016423,"about_ca_system_score_codex":0.001324121,"about_ca_system_score_gemma":0.00047975077,"threshold_uncertainty_score":0.8532176},"labels":[],"label_agreement":null},{"id":"W1510225845","doi":"10.1111/j.1540-5982.2009.01540.x","title":"Post‐secondary education in Canada: can ability bias explain the earnings gap between college and university graduates?","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Earnings; Selection bias; Higher education; Demographic economics; Selection (genetic algorithm); Gender gap; Positive selection; Set (abstract data type); Control (management); Economics; Psychology; Mathematics education; Accounting; Economic growth; Management; Statistics; Mathematics; Biology","score_opus":0.08345100578420156,"score_gpt":0.17446254402291303,"score_spread":0.09101153823871147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510225845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98008645,0.00041266522,0.000009247603,0.014719554,0.00059244403,0.0002684321,0.002518679,0.0000028449801,0.0013896996],"genre_scores_gemma":[0.9979728,0.00015167189,0.000093111965,0.0012468483,0.00018443985,0.0000017909617,0.000035486326,0.000021490827,0.00029237967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99777275,0.00010863971,0.0010816389,0.0004126831,0.0000030680342,0.0006212438],"domain_scores_gemma":[0.997201,0.00023368564,0.0009558431,0.0003887604,0.00014374178,0.0010769622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017209322,0.0002558279,0.00072095194,0.000590492,0.00022954878,0.000087367785,0.00055933156,0.00013751756,0.000105243715],"category_scores_gemma":[0.00039771266,0.0003025071,0.00012420806,0.00022568266,0.00012641387,0.00037917471,0.000023576125,0.00056742784,0.0000027812675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00003293317,0.000012315068,0.41497007,0.000022888808,0.000051986408,0.000060958366,0.00078871346,0.0002247046,0.000001186765,0.5788682,0.00020439703,0.004761617],"study_design_scores_gemma":[0.0006467789,0.00015640985,0.6359347,0.000044107015,0.000015859332,0.00008115638,0.0020213048,0.0003831684,0.0000042761803,0.34223345,0.018051568,0.00042721667],"about_ca_topic_score_codex":0.98909587,"about_ca_topic_score_gemma":0.9998784,"teacher_disagreement_score":0.23663479,"about_ca_system_score_codex":0.0065435297,"about_ca_system_score_gemma":0.0141396485,"threshold_uncertainty_score":0.9999427},"labels":[],"label_agreement":null},{"id":"W1510602673","doi":"","title":"The Importance of Functional Literacy: Reading and Math Skills and Labour Market Outcomes of High School Drop-outs","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Numeracy; Human capital; Curriculum; Literacy; Labour economics; Drop out; Reading (process); Economics; Adult literacy; Demographic economics; Economic growth; Political science","score_opus":0.015405147740546243,"score_gpt":0.26958958505116215,"score_spread":0.2541844373106159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510602673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98164713,0.00093628105,0.000020646205,0.00048019932,0.00034663593,0.00044597895,0.0013593286,0.000010723277,0.014753052],"genre_scores_gemma":[0.9812544,0.012251541,0.00066366297,0.000057093872,0.00008464645,0.00006702778,0.000055818506,0.000047013487,0.0055187847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967295,0.00012989184,0.0016658214,0.0008439009,0.000112552836,0.0005183333],"domain_scores_gemma":[0.9965052,0.0012369772,0.0010293045,0.0009291748,0.00016338973,0.0001359814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047468473,0.00030427307,0.0010118645,0.00041520406,0.00015718793,0.00020756168,0.00042241297,0.0003355272,0.000100513935],"category_scores_gemma":[0.0011316336,0.00028637893,0.00014826053,0.00014964913,0.0004356578,0.0001679643,0.00093409966,0.0008796033,0.000002038664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061870895,0.000108007145,0.8483981,0.00025709253,0.0001377356,0.0000045417287,0.00007071248,0.00018472101,0.0000037026466,0.14299197,0.000035755307,0.0077457777],"study_design_scores_gemma":[0.00048535428,0.00003143735,0.81933445,0.000090072215,0.000004917728,0.0000028164893,0.000036979087,0.0041183387,0.000003783186,0.1734671,0.0021822,0.00024257472],"about_ca_topic_score_codex":0.00079658505,"about_ca_topic_score_gemma":0.00040370852,"teacher_disagreement_score":0.030475127,"about_ca_system_score_codex":0.00033820028,"about_ca_system_score_gemma":0.00016679137,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W1510734891","doi":"","title":"The Importance of Signalling in Job Placement and Promotion","year":2006,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Signalling; Promotion (chess); Sample (material); Entry Level; Set (abstract data type); Business; Labour economics; Demographic economics; Marketing; Computer science; Economics; Medical education; Microeconomics; Political science; Medicine; Law","score_opus":0.09334551509112589,"score_gpt":0.33871166252912505,"score_spread":0.24536614743799917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510734891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750343,0.01202542,0.00005634521,0.0048966357,0.00004457369,0.00023174059,0.000021773962,0.000007053629,0.0076821796],"genre_scores_gemma":[0.9930788,0.005691697,0.00005824188,0.000028195367,0.000050913302,0.000041283078,0.000002388208,0.000008064609,0.0010403815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984907,0.0000761119,0.0006352294,0.00028924548,0.00012924317,0.00037947303],"domain_scores_gemma":[0.9990271,0.0004993313,0.00009811229,0.00019274338,0.0001474188,0.000035329624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035660712,0.00009660165,0.00032163697,0.00009013302,0.0002563775,0.000065983484,0.00013827182,0.000044115935,0.000030374851],"category_scores_gemma":[0.00069953635,0.00007327165,0.000044293472,0.00042738562,0.00051288353,0.00018264842,0.00016404002,0.00019949923,0.0000049714345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047830763,0.000050107083,0.3579607,0.00006412632,0.000051634437,0.0000032332327,0.0001322679,0.00003061518,0.000033258428,0.6412476,0.0001224949,0.00025615926],"study_design_scores_gemma":[0.0003765014,0.00016675958,0.41107002,0.000037614696,0.0000034520092,7.653819e-7,0.0005791526,0.0009331282,0.00003866219,0.5808613,0.0057920814,0.0001406126],"about_ca_topic_score_codex":0.00028716857,"about_ca_topic_score_gemma":0.0038585619,"teacher_disagreement_score":0.060386337,"about_ca_system_score_codex":0.00008576022,"about_ca_system_score_gemma":0.000015259051,"threshold_uncertainty_score":0.2987931},"labels":[],"label_agreement":null},{"id":"W1511901292","doi":"10.17848/9781429454919.ch7","title":"The Structure of and Incentives from Workers' Compensation Pricing","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Women's College Research Institute; Institut für Arbeitsmarkt- und Berufsforschung; Australian Government; W.E. Upjohn Institute for Employment Research","keywords":"Incentive; Compensation (psychology); Business; Workers' compensation; Microeconomics; Economics; Psychology; Social psychology","score_opus":0.01707924057846345,"score_gpt":0.2062730199408547,"score_spread":0.18919377936239126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511901292","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14531386,0.008653788,0.001522584,0.00065511157,0.0005077508,0.0004058276,0.002003024,0.000028569919,0.8409095],"genre_scores_gemma":[0.9257162,0.0016786434,0.0006520454,0.00007365996,0.00014282056,4.3813242e-7,0.00007634922,0.000024086035,0.07163571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990102,0.0000065959293,0.0005615558,0.00027702173,0.00003616578,0.00010844296],"domain_scores_gemma":[0.99884856,0.00019015378,0.00061274413,0.0002807963,0.000037939648,0.000029809404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020708349,0.00016223271,0.00036846576,0.00006164684,0.00008890713,0.00006307149,0.00014570336,0.00018309611,0.0004914989],"category_scores_gemma":[0.00002911841,0.00013122536,0.000067953944,0.000020372905,0.00009910554,0.00006805958,0.000087297856,0.00018381476,0.000009498735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012001169,0.0000030271467,0.007867406,0.000010489197,0.000084183404,2.5216573e-7,0.00009468285,0.00000655703,0.000004494509,0.98571885,0.000043943648,0.0061541223],"study_design_scores_gemma":[0.00021117413,0.000012859275,0.02195487,0.000050665967,0.0000131125025,2.7509333e-7,0.000030354406,0.0010443499,0.000008221052,0.90486526,0.07157597,0.0002329002],"about_ca_topic_score_codex":0.00033824806,"about_ca_topic_score_gemma":0.0004948441,"teacher_disagreement_score":0.78040236,"about_ca_system_score_codex":0.000051504976,"about_ca_system_score_gemma":0.000012039339,"threshold_uncertainty_score":0.53815687},"labels":[],"label_agreement":null},{"id":"W1513964818","doi":"","title":"Native Students and the Gains from Exporting Higher Education: Evidence from Australia","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Instrumental variable; Higher education; Subsidy; Profit (economics); Investment (military); Economics; Foreign direct investment; Empirical evidence; Demographic economics; Business; Political science; Economic growth; Econometrics; Microeconomics; Macroeconomics","score_opus":0.16777222774155187,"score_gpt":0.39598136444504933,"score_spread":0.22820913670349746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513964818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744025,0.0040829633,0.00000727511,0.0013205867,0.0019682944,0.00086595427,0.00078995404,0.00002021849,0.016542247],"genre_scores_gemma":[0.9805917,0.012766069,0.00043646255,0.0002178736,0.0009367539,0.00038360764,0.00014812581,0.000056262223,0.004463146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99596363,0.0003873825,0.0014983321,0.0012712552,0.00016659731,0.0007128147],"domain_scores_gemma":[0.9953862,0.0019376508,0.0009734845,0.0013539551,0.000114608294,0.00023410782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005743237,0.0003888119,0.0009533833,0.0002735489,0.00022106177,0.00056425296,0.0013093665,0.00046824873,0.0008803261],"category_scores_gemma":[0.0010503088,0.00037490256,0.00019646435,0.00014912103,0.0005070519,0.0003205643,0.0020401143,0.001762667,0.000049611197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021540861,0.00029206736,0.9085139,0.000080503676,0.00038373226,0.000006355911,0.0027542913,0.00018485473,0.000004288065,0.07442784,0.000058247926,0.013078494],"study_design_scores_gemma":[0.00090943655,0.000015536232,0.69455796,0.00035830538,0.000017862407,5.3823226e-7,0.0004705693,0.0009119175,0.0000057383672,0.29482666,0.0073792445,0.0005462187],"about_ca_topic_score_codex":0.010828111,"about_ca_topic_score_gemma":0.00074372394,"teacher_disagreement_score":0.2203988,"about_ca_system_score_codex":0.0009748359,"about_ca_system_score_gemma":0.00022900471,"threshold_uncertainty_score":0.9998703},"labels":[],"label_agreement":null},{"id":"W1515712611","doi":"10.2139/ssrn.2872300","title":"Measuring Heterogeneity in Job Finding Rates Among the Nonemployed Using Labor Force Status Histories","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Demographic economics; Economics","score_opus":0.03331414087102536,"score_gpt":0.24076483023733267,"score_spread":0.2074506893663073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515712611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847957,0.0027610324,0.0112539325,0.0002322984,0.0004311101,0.00011794479,0.000015563814,0.000025453906,0.00036695224],"genre_scores_gemma":[0.9984211,0.00092673535,0.00012398665,0.000078636585,0.00019528212,0.000005786019,0.0000022092083,0.000047229754,0.00019908033],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968563,0.00013355765,0.00070852874,0.00029852748,0.0000848449,0.0019182764],"domain_scores_gemma":[0.9989539,0.00012595198,0.00049451215,0.00028100394,0.00006218189,0.00008249042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058689862,0.00019513546,0.0003730944,0.00019828936,0.00032637955,0.00017219436,0.00034505827,0.0000932435,0.000010880005],"category_scores_gemma":[0.0004298551,0.00017357223,0.00013045894,0.00034029354,0.000070525486,0.00035200163,0.00006783037,0.001199874,0.000004948503],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020301293,0.00001806312,0.7185235,0.000006872514,0.00005166177,0.0000010053359,0.00022515915,0.00060347584,0.00006259629,0.28010887,0.0000013200727,0.00037715066],"study_design_scores_gemma":[0.0011263577,0.0001132002,0.3498279,0.000034322158,0.000016844668,0.000029314644,0.00038308906,0.0152985575,0.00009180674,0.63104045,0.0015517359,0.00048643223],"about_ca_topic_score_codex":0.0018957513,"about_ca_topic_score_gemma":0.0131573295,"teacher_disagreement_score":0.36869565,"about_ca_system_score_codex":0.002150348,"about_ca_system_score_gemma":0.00030765455,"threshold_uncertainty_score":0.73420984},"labels":[],"label_agreement":null},{"id":"W1515975132","doi":"10.59962/9780774852111-010","title":"Cohort, Year, and Age Effects in Canadian Wage Data","year":2007,"lang":"en","type":"article","venue":"University of British Columbia Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Health Canada; McMaster University; Queen's University; University of Toronto; York University","keywords":"Cohort; Wage; Real wages; Cohort effect; Demography; Economics; Demographic economics; Hourly wage; Medicine; Labour economics","score_opus":0.017204080360392594,"score_gpt":0.1836635568299037,"score_spread":0.16645947646951112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515975132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86344576,0.00021403862,0.00015959733,0.000006581401,0.00008701345,0.00021486291,0.0014310732,0.000011053668,0.13443002],"genre_scores_gemma":[0.99171084,0.0000973831,0.00045096013,0.00003550406,0.000011203901,1.5629006e-7,0.000048639216,0.000008506602,0.007636833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991511,0.000017974597,0.00019002914,0.00033304916,0.00003099983,0.00027685033],"domain_scores_gemma":[0.99930817,0.00005602103,0.00009974713,0.000354276,0.00001911532,0.00016265493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009071559,0.000048877468,0.00024957064,0.00007310669,0.000066084474,0.00008183365,0.00033566085,0.000095667565,0.000037881488],"category_scores_gemma":[0.000054456887,0.00012753619,0.000023893304,0.00003554711,0.000108079104,0.00011126514,0.00020146271,0.00011099845,0.0000020327625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013069811,0.000038300674,0.9650136,0.00009089242,0.000051457293,0.0011260675,0.0002345556,0.0000010687189,0.000002742474,0.020495027,0.0018335705,0.011099595],"study_design_scores_gemma":[0.0006922861,0.000016606225,0.94570583,0.000044552955,0.0000072721323,0.000004815082,0.000039645027,0.00032625734,4.254701e-7,0.0040955013,0.048901454,0.00016534301],"about_ca_topic_score_codex":0.9901041,"about_ca_topic_score_gemma":0.9964074,"teacher_disagreement_score":0.12826505,"about_ca_system_score_codex":0.00008950978,"about_ca_system_score_gemma":0.000033189055,"threshold_uncertainty_score":0.52007747},"labels":[],"label_agreement":null},{"id":"W1516744473","doi":"10.1002/jae.2275","title":"UNEMPLOYMENT, HUMAN CAPITAL DEPRECIATION, AND UNEMPLOYMENT INSURANCE POLICY","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Depreciation (economics); Unemployment; Economics; Human capital; German; Productivity; Labour economics; Estimation; Capital (architecture); Macroeconomics; Capital formation; Financial capital","score_opus":0.03365339131628391,"score_gpt":0.24897623067502878,"score_spread":0.21532283935874486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516744473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97886133,0.0022223527,0.00083533896,0.00029170114,0.0004864067,0.0001531316,0.00013733657,0.000013673849,0.016998703],"genre_scores_gemma":[0.9971246,0.0008487269,0.000794713,0.00033449673,0.00072779186,0.000007798049,0.000008337799,0.000034247078,0.00011924673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997785,0.000014246107,0.0014270822,0.00023962672,0.00008404683,0.0004500354],"domain_scores_gemma":[0.9976591,0.0001211751,0.0015657203,0.0002639346,0.00008105821,0.00030900555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020884417,0.00021200573,0.0006152241,0.00134699,0.00014630992,0.00012387706,0.00026984903,0.00012876041,0.000111082736],"category_scores_gemma":[0.00019773911,0.00022974306,0.00013507571,0.0009832184,0.000064978936,0.0005199849,0.000100731384,0.0002600262,0.000048434893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014981059,0.00016073654,0.47572768,0.000020043892,0.000079815385,7.6665316e-7,0.0003791542,0.00006643338,0.00001575978,0.521881,0.00007612423,0.0015775104],"study_design_scores_gemma":[0.0015666167,0.00013937731,0.69587743,0.000010202641,0.000017561002,0.000020467403,0.00014423131,0.00006211369,0.00009941096,0.27966455,0.021937827,0.0004602271],"about_ca_topic_score_codex":0.00006471951,"about_ca_topic_score_gemma":0.0000066900707,"teacher_disagreement_score":0.24221644,"about_ca_system_score_codex":0.00041043104,"about_ca_system_score_gemma":0.00003878005,"threshold_uncertainty_score":0.93686503},"labels":[],"label_agreement":null},{"id":"W1517682031","doi":"","title":"Job seeking channels and the duration of unemployment in Colombia","year":2010,"lang":"en","type":"article","venue":"Perfil de Coyuntura Económica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Unemployment; Nonparametric statistics; Quarter (Canadian coin); Economics; Labour economics; Weibull distribution; Demographic economics; Econometrics; Parametric statistics; Channel (broadcasting); Statistics; Computer science; Economic growth; Mathematics; Geography","score_opus":0.013342425545690314,"score_gpt":0.21538429356048458,"score_spread":0.20204186801479426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517682031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925592,0.00035044778,0.00015243997,0.0022859464,0.0004292162,0.00023438504,0.00006924233,0.000011821134,0.0039072847],"genre_scores_gemma":[0.99902195,0.00021380605,0.00017040997,0.00027774228,0.00006899482,0.000034735724,0.000007704165,0.000013392405,0.00019126957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988403,0.000038999984,0.00061886886,0.00025116734,0.000031090996,0.00021960646],"domain_scores_gemma":[0.9991603,0.00019339395,0.00029681274,0.00026609,0.000036804133,0.000046587174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017929294,0.00011321401,0.00033684776,0.000102391954,0.00007048033,0.00007750683,0.0001801872,0.00010620325,0.00018026018],"category_scores_gemma":[0.00030612407,0.00009986765,0.00005795424,0.00015943227,0.00015212789,0.000118654425,0.00006842559,0.00025784355,0.000011301246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011133061,0.00006238689,0.37735248,0.000050959137,0.000034489658,0.0000024040946,0.0019204183,0.00006777576,0.0013724868,0.6179392,0.00014254487,0.0009435763],"study_design_scores_gemma":[0.005144596,0.000094809126,0.5209175,0.000043378623,0.000017695917,0.000021796239,0.00026271192,0.16589211,0.0005489589,0.2926895,0.013771271,0.00059566577],"about_ca_topic_score_codex":0.001038463,"about_ca_topic_score_gemma":0.00074566336,"teacher_disagreement_score":0.32524964,"about_ca_system_score_codex":0.000046564463,"about_ca_system_score_gemma":0.000022713046,"threshold_uncertainty_score":0.40724847},"labels":[],"label_agreement":null},{"id":"W1519189024","doi":"10.1111/caje.12009","title":"On the role of job assignment in a comparison of education systems","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Matching (statistics); Equity (law); Productivity; Labour economics; Economics; Function (biology); Argument (complex analysis); Job creation; Economic growth; Political science","score_opus":0.09068868896150448,"score_gpt":0.19231425851699552,"score_spread":0.10162556955549104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519189024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954767,0.0011409645,0.000041089916,0.0009099433,0.0010099034,0.00037951663,0.00021968402,0.0000011558733,0.006750086],"genre_scores_gemma":[0.9994349,0.000058115802,0.00005751735,0.00014214471,0.000107702086,0.00003273177,0.0000056361487,0.000024680645,0.000136576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974982,0.00006333668,0.0018330689,0.00022382407,0.0000026462412,0.0003789373],"domain_scores_gemma":[0.9969071,0.00025002172,0.0018051213,0.00041776482,0.00015699776,0.0004629513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012612183,0.00017778313,0.0008093201,0.00070546474,0.000051265873,0.00007285976,0.00052855856,0.00013708051,0.00030971935],"category_scores_gemma":[0.00029481875,0.00018415143,0.000164103,0.00015681132,0.00010426715,0.00023419065,0.000015517908,0.00027222754,0.000019461106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012567021,0.00003986335,0.13723059,0.0000291022,0.000057269022,9.93718e-7,0.00074103806,0.005538482,0.00000902633,0.8552873,0.00012818207,0.0009255679],"study_design_scores_gemma":[0.0003834196,0.00029519768,0.02418187,0.00017753318,0.0000103282255,0.000014042342,0.0024009254,0.013815755,0.00008423757,0.9544148,0.0039449004,0.00027697888],"about_ca_topic_score_codex":0.3934613,"about_ca_topic_score_gemma":0.71023685,"teacher_disagreement_score":0.31677556,"about_ca_system_score_codex":0.001413673,"about_ca_system_score_gemma":0.0009648098,"threshold_uncertainty_score":0.7509478},"labels":[],"label_agreement":null},{"id":"W1520382703","doi":"10.2139/ssrn.2393110","title":"Are Bankers Worth Their Pay? Evidence from a Talent Measure","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Measure (data warehouse); Business; Actuarial science; Economics; Computer science; Data mining","score_opus":0.02428351845640288,"score_gpt":0.21353543042101172,"score_spread":0.18925191196460883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520382703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94342923,0.008988813,0.042781327,0.0025081607,0.0006501046,0.00012403724,0.000093145936,0.000039302337,0.0013858755],"genre_scores_gemma":[0.9915103,0.0069029154,0.000101399855,0.0003637237,0.00050237996,0.0000072539183,0.0000062870386,0.000034790795,0.0005709556],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99706405,0.00010873173,0.0006886113,0.00043125494,0.00009979747,0.0016075579],"domain_scores_gemma":[0.99825776,0.00016072084,0.0009245198,0.0004351788,0.00008324501,0.00013858012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048666373,0.00021557747,0.0004577398,0.00011873692,0.00022460133,0.00021488975,0.0005152027,0.00012287936,0.00018845883],"category_scores_gemma":[0.0006607977,0.00019006793,0.00024216207,0.00023898641,0.000045729743,0.0003333116,0.00006281524,0.0015689331,0.000115341594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072632334,0.00009886383,0.6818009,0.0000115313715,0.0003450149,0.000004686933,0.00024261644,0.00007873061,0.000022179129,0.2953531,0.00016413223,0.021805612],"study_design_scores_gemma":[0.00052349846,0.00010769596,0.10281999,0.000085737454,0.000013968292,0.000023347255,0.00028617313,0.0014435865,0.0000058337505,0.8843034,0.010037424,0.00034934544],"about_ca_topic_score_codex":0.0012244952,"about_ca_topic_score_gemma":0.008540312,"teacher_disagreement_score":0.5889503,"about_ca_system_score_codex":0.0008170349,"about_ca_system_score_gemma":0.00027566645,"threshold_uncertainty_score":0.77507454},"labels":[],"label_agreement":null},{"id":"W1521173244","doi":"10.1111/j.1540-5982.2008.00501.x","title":"The wage gap between Francophones and Anglophones: a Canadian perspective, 1970–2000","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fell; French; Wage; Welfare; Demographic economics; Economics; Labour economics; Falling (accident); Perspective (graphical); Political science; Geography; Psychology; Market economy; Art","score_opus":0.11315139870043449,"score_gpt":0.18472639361160378,"score_spread":0.0715749949111693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521173244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98135483,0.0038312462,0.00003708886,0.005763662,0.0020319554,0.0002720784,0.0016384535,0.000007475169,0.0050632246],"genre_scores_gemma":[0.9957985,0.0016372569,0.00018497554,0.00064605527,0.0008332286,0.000013911359,0.000015440934,0.00007310489,0.0007975041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99673456,0.000077415025,0.0014412833,0.0005473121,0.000003456446,0.0011959994],"domain_scores_gemma":[0.9950129,0.00034984428,0.00092598534,0.0005921509,0.00024596872,0.0028731604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017932842,0.0003885892,0.0009564661,0.000933499,0.0011819602,0.00026484547,0.0007869218,0.0002843449,0.0002599889],"category_scores_gemma":[0.0005853932,0.0004245767,0.00028359384,0.00031250925,0.0005022088,0.0004988243,0.000032061806,0.0006613868,0.00007490509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031742886,0.000007856783,0.17447476,0.000014800501,0.0002676515,0.0002846985,0.005072226,0.00020779106,9.260022e-7,0.81819177,0.0006794815,0.00076628465],"study_design_scores_gemma":[0.0010644804,0.00024616733,0.08374409,0.000048466194,0.000027087151,0.00070806727,0.0018555188,0.0005295427,0.000007731763,0.80248874,0.108399354,0.00088073476],"about_ca_topic_score_codex":0.9333199,"about_ca_topic_score_gemma":0.9980987,"teacher_disagreement_score":0.107719876,"about_ca_system_score_codex":0.0041207587,"about_ca_system_score_gemma":0.003828981,"threshold_uncertainty_score":0.9998206},"labels":[],"label_agreement":null},{"id":"W1522486528","doi":"","title":"Unemployment, status in employment and wages in Morocco","year":2006,"lang":"en","type":"article","venue":"Applied econometrics and international development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microdata (statistics); Unemployment; Economics; Labour economics; Discouraged worker; Work (physics); Demographic economics; Unemployment rate; Economic growth; Population; Census","score_opus":0.028322398164436564,"score_gpt":0.22387960509352495,"score_spread":0.19555720692908837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522486528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583061,0.00094117806,0.00032399595,0.00034671897,0.00019293389,0.00019970349,0.000067410874,0.000012357884,0.039609633],"genre_scores_gemma":[0.99639064,0.0009897522,0.001557328,0.0001943875,0.000030108497,0.00007741226,0.00008183531,0.000016121641,0.00066240807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982808,0.00000552424,0.0008626397,0.0004873005,0.00004862537,0.00031506],"domain_scores_gemma":[0.99954057,0.0000665347,0.00019708555,0.00010996586,0.000016648575,0.00006917284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839231,0.00016857899,0.0003018572,0.0011223098,0.00004086599,0.00012551995,0.00013118667,0.00007210802,0.00012061612],"category_scores_gemma":[0.000030880805,0.00020039605,0.00001996653,0.00043128434,0.000033577,0.00014536543,0.00015979806,0.00011210784,0.000024340707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094768175,0.00009873313,0.63868916,0.000008617735,0.00001487126,0.0000022139961,0.0001072702,0.000082050516,0.000002971975,0.35453662,0.000023772502,0.006424268],"study_design_scores_gemma":[0.0009527585,0.0000103103675,0.8705613,0.000007911059,7.057829e-7,8.887026e-7,0.000044993954,0.00088495907,0.000019151988,0.090752214,0.036515646,0.0002491611],"about_ca_topic_score_codex":0.00087223016,"about_ca_topic_score_gemma":0.0006333415,"teacher_disagreement_score":0.2637844,"about_ca_system_score_codex":0.00038979008,"about_ca_system_score_gemma":0.000023735252,"threshold_uncertainty_score":0.81719136},"labels":[],"label_agreement":null},{"id":"W1522619813","doi":"10.13060/00380288.2010.46.1.02","title":"Alternative Models of Entrance Exams and Access to Tertiary Education: A Simulation Study","year":2010,"lang":"en","type":"article","venue":"Czech Sociological Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aptitude; Context (archaeology); Czech; Socioeconomic status; Quarter (Canadian coin); Odds; Higher education; Mathematics education; Margin (machine learning); Psychology; Field (mathematics); Demography; Mathematics; Economics; Statistics; Sociology; Computer science; Developmental psychology; Geography; Population; Economic growth","score_opus":0.10598451331790655,"score_gpt":0.366812176532928,"score_spread":0.2608276632150215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522619813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755979,0.013971473,0.0066637425,0.00079547655,0.00023180313,0.00095519674,0.000048356513,0.0000140702905,0.0017219797],"genre_scores_gemma":[0.98964596,0.008126804,0.0003199209,0.0017076773,0.000063724605,0.00009629938,0.0000066026364,0.0000061910596,0.000026820562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988964,0.00005949113,0.0005491544,0.00033329468,0.000035761364,0.00012589183],"domain_scores_gemma":[0.99914676,0.00018385911,0.00026249967,0.00025622308,0.00006997458,0.000080677586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101378,0.00010896173,0.00044318274,0.000034233562,0.000043866454,0.000028629825,0.00026126762,0.00007146939,0.00015631336],"category_scores_gemma":[0.00059341395,0.00009132899,0.000063558975,0.00013835967,0.000055110966,0.00018865406,0.00011381824,0.00017304561,0.000011386693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019503039,0.0012940594,0.3444616,0.0010188064,0.000082739774,0.000002129004,0.0009955156,0.0007225521,0.00003707914,0.567862,0.000106093714,0.08339796],"study_design_scores_gemma":[0.00028608897,0.00013939467,0.3352298,0.000263751,0.000020909443,7.784566e-7,0.00003397527,0.009323828,0.000005752358,0.6503865,0.004002862,0.00030634867],"about_ca_topic_score_codex":0.0000645208,"about_ca_topic_score_gemma":0.000005980073,"teacher_disagreement_score":0.08309162,"about_ca_system_score_codex":0.000021827924,"about_ca_system_score_gemma":0.000019371339,"threshold_uncertainty_score":0.3724288},"labels":[],"label_agreement":null},{"id":"W152286995","doi":"10.1016/s0147-9121(00)19008-9","title":"Job mobility in 1990s Britain: Does gender matter?","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Layoff; Demographic economics; Quarter (Canadian coin); Promotion (chess); Labour economics; Occupational mobility; Psychology; Neglect; Social psychology; Economics; Political science; Unemployment; Geography; Economic growth","score_opus":0.08872477119396807,"score_gpt":0.3050343173973548,"score_spread":0.21630954620338674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152286995","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40220413,0.0020829926,0.000011802527,0.0018497253,0.00068604486,0.0011236762,0.0039426875,0.000033505214,0.58806545],"genre_scores_gemma":[0.9452361,0.009706825,0.0003147968,0.00049378787,0.00042373597,0.00015607059,0.00019824148,0.00024840675,0.04322207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944169,0.000095616575,0.0022884544,0.0017651658,0.00012716475,0.0013067032],"domain_scores_gemma":[0.99704677,0.00041846753,0.00050823425,0.0015931454,0.00014843253,0.000284975],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0070153363,0.00058266777,0.0014742897,0.0017024807,0.00011602819,0.00031036526,0.0010937781,0.0009746166,0.0036787766],"category_scores_gemma":[0.00016762217,0.00066915486,0.00027872465,0.00027749198,0.00042841458,0.00039598285,0.0005845777,0.002178553,0.0017558256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058104193,0.00013156941,0.13641821,0.0003009898,0.0000554913,0.00006183087,0.00015162109,0.00029377601,3.5673753e-7,0.8620218,0.00007826074,0.00042799546],"study_design_scores_gemma":[0.0008993785,0.00003066827,0.06755038,0.0001360531,0.000002509243,0.0000025456186,0.000034617817,0.00029347927,0.0000016424925,0.8861697,0.044175915,0.0007031156],"about_ca_topic_score_codex":0.0044919546,"about_ca_topic_score_gemma":0.006578331,"teacher_disagreement_score":0.5448434,"about_ca_system_score_codex":0.004026921,"about_ca_system_score_gemma":0.00048530434,"threshold_uncertainty_score":0.99979645},"labels":[],"label_agreement":null},{"id":"W1523427921","doi":"10.2139/ssrn.1778886","title":"Occupational Tasks and Changes in the Wage Structure","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Current Population Survey; Wage; Technological change; Economics; Polarization (electrochemistry); Labour economics; Distribution (mathematics); Population; Demographic economics; Sociology; Demography; Mathematics; Macroeconomics","score_opus":0.02419364016522318,"score_gpt":0.22264379573664156,"score_spread":0.19845015557141837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523427921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334776,0.0023142225,0.000714487,0.0007291006,0.00012459309,0.000074899974,0.000060757968,0.00000462675,0.002629563],"genre_scores_gemma":[0.9973477,0.0020007242,0.0000778343,0.00032637673,0.00011170413,0.0000029651399,0.0000057244974,0.000008526745,0.00011843316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987938,0.000038270045,0.0002487731,0.00015271337,0.00003832652,0.0007281126],"domain_scores_gemma":[0.9996266,0.000029560519,0.00017148396,0.0001279308,0.000017120867,0.000027329803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020213013,0.00009126968,0.00014341004,0.00011062654,0.00009966358,0.00004760353,0.00021543194,0.000061499835,0.00012914135],"category_scores_gemma":[0.00005284105,0.00007067635,0.000032730546,0.00013675338,0.000032750446,0.00011093546,0.000023829141,0.0007899559,0.0000059960166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019656725,0.000020319249,0.12643358,0.00000201586,0.000021542177,0.000002245194,0.00062844565,7.3572085e-7,0.0000040877494,0.87077874,0.000007940794,0.0020806796],"study_design_scores_gemma":[0.00025436282,0.00006592736,0.21168621,0.0000023971888,0.000002506044,0.00006825432,0.000357398,0.000067497625,0.0000024153348,0.78659,0.0008149264,0.000088106506],"about_ca_topic_score_codex":0.00032010803,"about_ca_topic_score_gemma":0.0059862174,"teacher_disagreement_score":0.08525262,"about_ca_system_score_codex":0.00015537994,"about_ca_system_score_gemma":0.00012012237,"threshold_uncertainty_score":0.34320092},"labels":[],"label_agreement":null},{"id":"W1524125320","doi":"","title":"Returns to Apprenticeship: Analysis based on the 2006 Census","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Census; Graduation (instrument); Wage; Quantile; American Community Survey; Certification; Demographic economics; Economics; Labour economics; Educational attainment; Econometrics; Geography; Engineering; Economic growth; Demography; Population; Sociology","score_opus":0.06016216165716647,"score_gpt":0.3043291575136816,"score_spread":0.24416699585651513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524125320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64656895,0.00040444065,0.00018755796,0.005188602,0.0014156884,0.0017875414,0.0047875848,0.00006745816,0.33959216],"genre_scores_gemma":[0.9947006,0.0009322099,0.00045212885,0.00075426715,0.00033663062,0.0003824949,0.00036169574,0.00008538834,0.001994586],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995189,0.00038507435,0.0014513058,0.0014908232,0.00018423963,0.0012995462],"domain_scores_gemma":[0.9946666,0.0013251272,0.000612527,0.002884803,0.00012471084,0.0003862561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009450948,0.00048340202,0.0011670402,0.0016610619,0.00024262136,0.0004409223,0.0016455532,0.0005766221,0.00090412854],"category_scores_gemma":[0.0014461932,0.0004638432,0.0006457834,0.0010353578,0.00019147621,0.00008885006,0.001121499,0.0021667907,0.00015084373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005722428,0.0016484932,0.37354302,0.0004632213,0.0024133145,0.000040995525,0.0015508691,0.22443122,0.000006350254,0.3674068,0.0008325817,0.027090898],"study_design_scores_gemma":[0.0015356566,0.00023072926,0.23619069,0.0002959186,0.00022867581,0.0000014703181,0.0008425154,0.442297,0.00003212138,0.1344365,0.1806195,0.0032892053],"about_ca_topic_score_codex":0.0005334732,"about_ca_topic_score_gemma":0.0011596045,"teacher_disagreement_score":0.34813166,"about_ca_system_score_codex":0.0012706481,"about_ca_system_score_gemma":0.0001520862,"threshold_uncertainty_score":0.9997813},"labels":[],"label_agreement":null},{"id":"W1525475127","doi":"10.2139/ssrn.1965151","title":"Education, Job Search and Re-Employment Outcomes Among the Unemployed","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Labour economics; Unemployment; Demographic economics; Psychology; Business; Political science; Economics; Economic growth","score_opus":0.028705092642490417,"score_gpt":0.24675914292895393,"score_spread":0.21805405028646352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525475127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859276,0.0025026333,0.0015061254,0.0016510496,0.0003306495,0.00015168451,0.00000998128,0.000015699832,0.007904595],"genre_scores_gemma":[0.99199003,0.0034209958,0.00008410345,0.0003017569,0.000102355945,0.000011824232,0.000001946344,0.000022949438,0.004064055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980703,0.000060079226,0.0004899136,0.0002357195,0.00006291141,0.0010811059],"domain_scores_gemma":[0.9993143,0.000044941557,0.0001929569,0.0002913993,0.00006613238,0.00009029082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035217907,0.00013962372,0.00023446778,0.00011900092,0.0002905164,0.00010140715,0.00033109076,0.00006308403,0.00012746407],"category_scores_gemma":[0.00008929249,0.00010568471,0.00009870594,0.0001623743,0.00009231441,0.00019393585,0.000069538655,0.00090442144,0.000031530166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069021125,0.000040305993,0.48397666,0.0000018027832,0.00006986774,3.1079006e-7,0.0003551722,8.9063155e-7,3.489983e-7,0.51405454,0.000025434225,0.0014677594],"study_design_scores_gemma":[0.00019521204,0.00006121073,0.44431084,0.000003709283,0.0000068370346,0.000014156645,0.00067817495,0.000044182885,0.0000017447293,0.55382234,0.00075292535,0.00010865059],"about_ca_topic_score_codex":0.003100169,"about_ca_topic_score_gemma":0.0032972444,"teacher_disagreement_score":0.039767824,"about_ca_system_score_codex":0.0003904057,"about_ca_system_score_gemma":0.0004869823,"threshold_uncertainty_score":0.46865487},"labels":[],"label_agreement":null},{"id":"W1525938504","doi":"10.2139/ssrn.252024","title":"Occupational Gender Composition and Wages in Sweden","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Composition (language); Labour economics; Demographic economics; Economics; Art","score_opus":0.021518107634868302,"score_gpt":0.24590284007809537,"score_spread":0.22438473244322707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525938504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885734,0.0028438256,0.001436847,0.00044998823,0.00006322774,0.00005651771,0.000025083185,0.000008106767,0.006543008],"genre_scores_gemma":[0.99319446,0.0058991825,0.00009387324,0.00014462735,0.00009441289,0.000002793532,0.000012170023,0.00000990786,0.0005485523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866456,0.000028133865,0.0003656659,0.00017534458,0.000037028825,0.0007292407],"domain_scores_gemma":[0.999727,0.00002455405,0.00010758194,0.00008273662,0.00001554486,0.000042549265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014674065,0.000087332795,0.00016511924,0.00012205672,0.0000937592,0.0000645148,0.000095707124,0.00005801418,0.00035604284],"category_scores_gemma":[0.0000130587105,0.00009444231,0.000043042928,0.00011828669,0.00002296943,0.00020152288,0.000011756985,0.0005625373,0.000048492497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004761579,0.00005208751,0.15460274,0.0000035745345,0.00003247577,0.0000024466653,0.00009506826,0.00007782571,0.000009398291,0.83765185,0.000010229148,0.007414665],"study_design_scores_gemma":[0.00052149536,0.00003494116,0.22970217,0.0000040489113,0.000002228442,0.000069768656,0.00004846603,0.00086538144,0.0000013247283,0.76772934,0.00090097083,0.000119878525],"about_ca_topic_score_codex":0.00016249895,"about_ca_topic_score_gemma":0.0002811935,"teacher_disagreement_score":0.07509943,"about_ca_system_score_codex":0.000379484,"about_ca_system_score_gemma":0.00013436585,"threshold_uncertainty_score":0.38984194},"labels":[],"label_agreement":null},{"id":"W1526152052","doi":"10.3386/w7697","title":"The Changing Structure of Wages in the US and Germany: What Explains the Differences?","year":2000,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Econometrics; Demographic economics","score_opus":0.21404621469235421,"score_gpt":0.4231832223072001,"score_spread":0.2091370076148459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526152052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8820862,0.017377315,0.0000017548008,0.003901066,0.0005876333,0.00078259816,0.00090172177,0.000004085503,0.094357625],"genre_scores_gemma":[0.9504637,0.04791785,0.000006679255,0.0000495462,0.00030938038,0.000043439843,0.00008241885,0.000019650566,0.0011073179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974799,0.00022897625,0.0010673627,0.00041972182,0.00039152338,0.0004125229],"domain_scores_gemma":[0.9961131,0.0023957356,0.0006656923,0.0005182779,0.00027208638,0.00003510561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010344065,0.00019286093,0.00052403833,0.0005445595,0.0003246988,0.00033233842,0.0010115572,0.00025009605,0.00020673774],"category_scores_gemma":[0.0006392616,0.000115871226,0.0001329831,0.00031536337,0.00047327194,0.00022700152,0.00019174302,0.0007970818,0.0000074752434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042050662,0.0000403027,0.014088284,0.00012835898,0.00013726132,0.0000022063682,0.0012509058,0.00010091922,0.000003225426,0.97752583,0.000987685,0.005692945],"study_design_scores_gemma":[0.00027201316,0.00004459006,0.070534594,0.0001166348,0.000005926674,0.000011462881,0.0007292338,0.0014726426,0.0000064801484,0.9011472,0.025466764,0.00019244697],"about_ca_topic_score_codex":0.0016034076,"about_ca_topic_score_gemma":0.0011897213,"teacher_disagreement_score":0.093250304,"about_ca_system_score_codex":0.0003716007,"about_ca_system_score_gemma":0.0004002726,"threshold_uncertainty_score":0.47250915},"labels":[],"label_agreement":null},{"id":"W1526336789","doi":"","title":"The State of Knowledge on the Role and Impact of Labour Market Information: A Survey of the Canadian Evidence","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Business; Labour economics; Economics; Computer science","score_opus":0.04268218154407657,"score_gpt":0.3022190006762529,"score_spread":0.25953681913217636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526336789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96090746,0.0006054066,5.399702e-7,0.00039542592,0.0002473693,0.0006429796,0.003441066,0.0000020974549,0.033757642],"genre_scores_gemma":[0.9911802,0.008202538,0.000012623169,0.00002253514,0.000018802933,0.00004249067,0.000011063022,0.000017428765,0.000492342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744153,0.0004671479,0.0012410886,0.0003105472,0.00009581862,0.00044386165],"domain_scores_gemma":[0.99401224,0.003028431,0.0010099375,0.0014303272,0.00039878514,0.000120257355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015199134,0.0002014606,0.00055018836,0.0003232766,0.00022426291,0.00014671746,0.0012738041,0.00024190036,0.0000811939],"category_scores_gemma":[0.0053355866,0.00013009673,0.00018764008,0.00030193542,0.000661487,0.0001370474,0.00076864456,0.0013156746,0.0000024662968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029075737,0.00008278443,0.87532437,0.0003200603,0.0002722213,4.793358e-7,0.0015534338,0.0020685843,0.000005768235,0.056321934,0.000053892378,0.063705735],"study_design_scores_gemma":[0.00015027268,0.000059727707,0.94263035,0.00013898115,0.0000018911974,5.7785496e-7,0.000065880864,0.012523155,0.00001981296,0.041223846,0.00304225,0.00014326199],"about_ca_topic_score_codex":0.24084103,"about_ca_topic_score_gemma":0.5188479,"teacher_disagreement_score":0.27800688,"about_ca_system_score_codex":0.00057432754,"about_ca_system_score_gemma":0.0015579757,"threshold_uncertainty_score":0.7642143},"labels":[],"label_agreement":null},{"id":"W1527502822","doi":"","title":"The Adult Recession: Age-Adjusted Unemployment at Post-War Highs","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Recession; Demographics; Quarter (Canadian coin); Discouraged worker; Unemployment rate; Great recession; Current Population Survey; Labour economics; Demographic economics; Great Depression; Depression (economics); Population; Keynesian economics; Demography; Macroeconomics; Geography","score_opus":0.03821227333570598,"score_gpt":0.2924210669884043,"score_spread":0.25420879365269833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527502822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8924179,0.00094924134,0.0000039295956,0.005364295,0.0033195182,0.0012343877,0.0010228372,0.00007997827,0.09560791],"genre_scores_gemma":[0.93553096,0.050886244,0.00046384806,0.00050396356,0.0006054821,0.00059020973,0.00042995386,0.00018822163,0.010801141],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99388415,0.000320234,0.0021956393,0.001884091,0.0002112002,0.0015046856],"domain_scores_gemma":[0.9941584,0.0011534662,0.001001351,0.0029487,0.0003486157,0.000389509],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006358293,0.0005960897,0.001150174,0.00055899855,0.00079460995,0.00045566531,0.0021220113,0.0012136404,0.00038544877],"category_scores_gemma":[0.0019585188,0.00057637243,0.00044919093,0.00028991696,0.0006275652,0.00014772578,0.0035432426,0.0039616884,0.00018229682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001624189,0.0013831579,0.13872774,0.0010334791,0.0011164472,0.0004409442,0.0029717337,0.0044705025,0.00023862072,0.47218707,0.0011048836,0.37470123],"study_design_scores_gemma":[0.0031513267,0.00036757707,0.0770406,0.0004888122,0.000026863843,0.000025947975,0.0010012672,0.026848046,0.00014887066,0.32212126,0.5657475,0.0030319463],"about_ca_topic_score_codex":0.0012635842,"about_ca_topic_score_gemma":0.008648003,"teacher_disagreement_score":0.5646426,"about_ca_system_score_codex":0.002210171,"about_ca_system_score_gemma":0.00034523325,"threshold_uncertainty_score":0.9996688},"labels":[],"label_agreement":null},{"id":"W1528306727","doi":"10.22004/ag.econ.273686","title":"Wages And Seniority When Coworkers Matter: Estimating A Joint Production Economy Using Norwegian Administrative Data","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Seniority; Norwegian; Economics; Bargaining power; Production (economics); Labour economics; Workforce; Joint (building); Power (physics); Econometrics; Microeconomics; Engineering; Economic growth","score_opus":0.1130060957506117,"score_gpt":0.274840746105698,"score_spread":0.16183465035508626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528306727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829499,0.000102353115,0.007352819,0.003825136,0.00013393478,0.0002931054,0.00043551612,0.000018048851,0.004889159],"genre_scores_gemma":[0.9752414,0.00006898818,0.023899375,0.00008389201,0.00007313493,2.0521011e-7,0.00007492065,0.000010512093,0.0005475324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984825,0.00008784945,0.0003546106,0.00069739233,0.000060194663,0.00031741723],"domain_scores_gemma":[0.99867207,0.000054380136,0.00037273916,0.0006684986,0.00008916922,0.00014315857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015613427,0.00017272591,0.00045116214,0.00022113523,0.00029477457,0.000082141385,0.00039770504,0.00010243116,0.0004236767],"category_scores_gemma":[0.00009202042,0.00023687353,0.00006515585,0.00018875077,0.00021421033,0.0011014999,0.00026240383,0.00022671068,0.0000484129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054113736,0.0013606399,0.7429025,0.0013569917,0.0010489543,0.0003557999,0.032357372,0.0010374709,0.001190977,0.12133472,0.007577628,0.088935815],"study_design_scores_gemma":[0.0019493072,0.000406823,0.7723404,0.0001960613,0.00008452181,0.00006856656,0.006995009,0.16112322,0.000095307296,0.04888698,0.006654461,0.0011993612],"about_ca_topic_score_codex":0.0014699221,"about_ca_topic_score_gemma":0.000314935,"teacher_disagreement_score":0.16008574,"about_ca_system_score_codex":0.00011573266,"about_ca_system_score_gemma":0.00006192847,"threshold_uncertainty_score":0.9659422},"labels":[],"label_agreement":null},{"id":"W1530023817","doi":"","title":"The Differing Nature of Black-White Wage Inequality Across Employment Sectors","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wage; Wage inequality; Labour economics; Inequality; Incentive; Economics; Microeconomics","score_opus":0.0344404123392637,"score_gpt":0.3161973134366403,"score_spread":0.2817569010973766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530023817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97206265,0.00080297486,0.00003647238,0.00073279615,0.001202513,0.0009213337,0.0017287534,0.000038842016,0.022473648],"genre_scores_gemma":[0.9869367,0.011180967,0.00012902971,0.000082788865,0.00023225225,0.00015102758,0.00010080742,0.00010772746,0.0010786954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943606,0.00026358047,0.002353233,0.0014501568,0.00020004329,0.001372372],"domain_scores_gemma":[0.9954134,0.0007462865,0.0011218598,0.002329596,0.00016598805,0.00022285774],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008655039,0.0005377391,0.001300051,0.0003493195,0.00035752932,0.00037868985,0.0017277708,0.0011068104,0.00007183636],"category_scores_gemma":[0.0011263104,0.00051810255,0.0004964847,0.00031293227,0.0007536552,0.00013536273,0.0025618847,0.0038363007,0.0000144433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046006116,0.0008783113,0.6437578,0.0012973741,0.0008497131,0.000059926562,0.0052370257,0.044161316,0.000042490046,0.2724362,0.000025560665,0.030794188],"study_design_scores_gemma":[0.0022736765,0.00020723026,0.576354,0.0005801591,0.000012738735,0.0000044550893,0.0014502504,0.011666461,0.000158922,0.3872091,0.0182688,0.0018141906],"about_ca_topic_score_codex":0.00083784445,"about_ca_topic_score_gemma":0.001951635,"teacher_disagreement_score":0.11477291,"about_ca_system_score_codex":0.0021624013,"about_ca_system_score_gemma":0.00032075983,"threshold_uncertainty_score":0.9997271},"labels":[],"label_agreement":null},{"id":"W1530804213","doi":"10.1111/j.1468-2354.2008.00524.x","title":"OCCUPATIONAL SPECIFICITY OF HUMAN CAPITAL*","year":2009,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":673,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Human capital; Wage; Labour economics; Economics; Capital (architecture); Occupational licensing; Microeconomics; Economic growth; Geography","score_opus":0.045555475558362944,"score_gpt":0.2982353040106103,"score_spread":0.2526798284522474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530804213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72226894,0.016904822,0.00070219196,0.0047930647,0.0011879478,0.00037109884,0.0011150843,0.000034938555,0.2526219],"genre_scores_gemma":[0.989082,0.008605202,0.00025435127,0.0011315154,0.00017396077,0.000007435986,0.00012928,0.000008072911,0.0006082062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984653,0.000014017605,0.0010730842,0.0002874211,0.000039086648,0.00012109493],"domain_scores_gemma":[0.99895334,0.00003194341,0.00063601375,0.0002794933,0.000052256277,0.000046942958],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007201333,0.00011784108,0.0004325109,0.000102926446,0.00003145143,0.000027704784,0.0003897431,0.00004322466,0.0038198042],"category_scores_gemma":[0.000075596996,0.00013437377,0.00019730676,0.000050967643,0.00003377595,0.00020177195,0.000033808778,0.00007901681,0.00045163266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005062656,0.00005941546,0.014130911,0.000056536774,0.000035942277,9.0163707e-7,0.000014208195,0.0000141189175,0.000012840309,0.9828998,0.0009867736,0.0017834958],"study_design_scores_gemma":[0.00043240644,0.000072891744,0.19870968,0.00032566013,0.000009202655,0.0000066845305,0.0000046162727,0.00042229248,0.000038679067,0.69895405,0.10068607,0.0003377409],"about_ca_topic_score_codex":0.000132899,"about_ca_topic_score_gemma":0.000015927179,"teacher_disagreement_score":0.28394574,"about_ca_system_score_codex":0.00018758744,"about_ca_system_score_gemma":0.000026533851,"threshold_uncertainty_score":0.9970908},"labels":[],"label_agreement":null},{"id":"W1531003023","doi":"","title":"Les bons emplois disparaissent-ils au Canada?","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04285098941267475,"score_gpt":0.2989593274839259,"score_spread":0.25610833807125116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531003023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71833277,0.0015968175,0.000026795436,0.0048328275,0.0026460951,0.0009374619,0.0033362233,0.00003314991,0.26825786],"genre_scores_gemma":[0.92943144,0.033250973,0.00077596423,0.0003198738,0.0014158181,0.0003079449,0.00038941074,0.00021126581,0.03389729],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98988307,0.00048142282,0.00323575,0.0026965775,0.00028258853,0.0034206007],"domain_scores_gemma":[0.99358934,0.0015493087,0.0011588929,0.002620565,0.00022596611,0.00085590925],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006889917,0.0009766683,0.0021105937,0.0008757038,0.0006829883,0.00045448574,0.0021033685,0.0012437507,0.0015328148],"category_scores_gemma":[0.0018210915,0.0013518292,0.0005772096,0.00048495937,0.00075947924,0.00029980624,0.0019505974,0.003702876,0.000099663375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013798241,0.0006268249,0.47666365,0.00044099992,0.00045922454,0.00014182339,0.00078556046,0.01835213,0.0000053406657,0.29221755,0.0003468133,0.2098221],"study_design_scores_gemma":[0.0009421328,0.00007891238,0.30774707,0.00033143014,0.000016455044,0.000015520473,0.0005651024,0.016407676,0.0000105474655,0.012195892,0.6602091,0.0014801855],"about_ca_topic_score_codex":0.8140777,"about_ca_topic_score_gemma":0.96754396,"teacher_disagreement_score":0.6598623,"about_ca_system_score_codex":0.018585997,"about_ca_system_score_gemma":0.0046242783,"threshold_uncertainty_score":0.99937993},"labels":[],"label_agreement":null},{"id":"W1531363332","doi":"10.1111/j.1540-5982.2012.01732.x","title":"Does the sophistication of use of unemployment insurance evolve with experience?","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of New Brunswick; University of Ottawa","funders":"","keywords":"Sophistication; Unemployment; Economics; Value (mathematics); Process (computing); Microeconomics; Actuarial science; Computer science; Macroeconomics; Sociology; Machine learning","score_opus":0.14614196653755587,"score_gpt":0.1926828396585653,"score_spread":0.046540873121009435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531363332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591696,0.00041518774,0.00028358938,0.0009157081,0.0010313402,0.00021506994,0.00087192585,0.0000020048615,0.00034821816],"genre_scores_gemma":[0.99854624,0.00017588731,0.00069869467,0.00018131813,0.00021908156,0.0000143090565,0.0000082383185,0.000031322397,0.00012488678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99788415,0.0000391404,0.0013571591,0.00021416474,0.000003119692,0.0005022805],"domain_scores_gemma":[0.99651647,0.00020753856,0.0018771763,0.00053184637,0.00021136568,0.00065562804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010067745,0.00019898576,0.000662223,0.00036495744,0.00009375502,0.00005312896,0.00046985399,0.00010692494,0.00013856713],"category_scores_gemma":[0.00030098684,0.00015043587,0.00016347815,0.00016797772,0.00032339344,0.0006712985,0.000019351042,0.00019334708,0.0000039010806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040330073,0.000019675213,0.44364846,0.000026420315,0.0000861617,0.0000026449825,0.0017220753,0.0009423138,0.0000042253946,0.55322343,0.000019656156,0.00026462067],"study_design_scores_gemma":[0.0015905085,0.0006809249,0.5061389,0.00026223823,0.00007847909,0.00015456435,0.00161703,0.0029107714,0.0005504347,0.44360372,0.041349024,0.0010633856],"about_ca_topic_score_codex":0.10412049,"about_ca_topic_score_gemma":0.6423214,"teacher_disagreement_score":0.5382009,"about_ca_system_score_codex":0.00075558654,"about_ca_system_score_gemma":0.00046905747,"threshold_uncertainty_score":0.9018453},"labels":[],"label_agreement":null},{"id":"W1532010858","doi":"","title":"Participation in adult schooling and its earning impact in Canada","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Certificate; Wage; Human capital; Demographic economics; Investment (military); Labour economics; Economics; Business; Political science; Finance; Economic growth","score_opus":0.032642274228736494,"score_gpt":0.306304416107394,"score_spread":0.2736621418786575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532010858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98153925,0.0006565878,0.0000030228423,0.00021126594,0.00023335179,0.0004976828,0.0003058729,0.000008583131,0.016544376],"genre_scores_gemma":[0.9937586,0.005588053,0.00008924392,0.000047332836,0.00008005301,0.00014113374,0.00009288213,0.000048620645,0.00015408211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99632394,0.00018339459,0.0014817566,0.0009869684,0.00008603806,0.00093792786],"domain_scores_gemma":[0.9984515,0.00037877343,0.00042330558,0.00050443003,0.00007435527,0.0001676788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031833302,0.0003002272,0.0008198684,0.00090352504,0.00006846005,0.0001688375,0.0003640698,0.00032785654,0.00005358752],"category_scores_gemma":[0.0012538388,0.0003846111,0.000083538165,0.0002966937,0.00004557609,0.00018588532,0.0005283379,0.001839576,0.000004419831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045517325,0.00006378703,0.8964795,0.00013104237,0.000021169397,0.000039587183,0.00015030193,0.087130144,0.0000022871227,0.004932749,0.000004603878,0.010999352],"study_design_scores_gemma":[0.0006328024,0.000019364817,0.75124294,0.0001691491,0.0000011229323,8.616243e-7,0.000090523165,0.23450029,0.000003280277,0.012672872,0.00028774384,0.00037904747],"about_ca_topic_score_codex":0.82115805,"about_ca_topic_score_gemma":0.93658537,"teacher_disagreement_score":0.14737014,"about_ca_system_score_codex":0.005677154,"about_ca_system_score_gemma":0.0011806183,"threshold_uncertainty_score":0.9998606},"labels":[],"label_agreement":null},{"id":"W1533463130","doi":"","title":"An Analysis of Unemployment Incidence and Duration: Some New Evidence from Canada","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Duration (music); Incidence (geometry); Economics; Demographic economics; Demography; Labour economics; Macroeconomics; Mathematics; Sociology","score_opus":0.04575261195344077,"score_gpt":0.30584759790707916,"score_spread":0.2600949859536384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533463130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939244,0.0019128548,0.000054254528,0.0010078483,0.00025451425,0.00038126254,0.0010089248,0.000012723506,0.0014432522],"genre_scores_gemma":[0.9774148,0.020852577,0.000945152,0.00016739152,0.00015241437,0.000030103107,0.0002014929,0.000027921658,0.000208139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960698,0.00018377288,0.0017230016,0.0013353667,0.00016291054,0.0005251858],"domain_scores_gemma":[0.99653095,0.00066460954,0.0008364031,0.0015299184,0.000112753594,0.0003253688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002980984,0.00031758306,0.001263132,0.0008089641,0.000093824885,0.00020576271,0.00088119396,0.00033331764,0.00015859512],"category_scores_gemma":[0.0007499189,0.00039725416,0.00015633136,0.00042713343,0.00014194372,0.00035304655,0.00055104104,0.0008053548,0.0000013825932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013045382,0.00016429336,0.8727825,0.00010882263,0.00087369396,0.000036149195,0.00064498873,0.056632876,0.000038271017,0.033971313,0.000028157565,0.03458847],"study_design_scores_gemma":[0.00033096148,0.00009938363,0.75213826,0.000194027,0.00006775495,5.8089483e-7,0.0001463219,0.12428348,0.0000384129,0.1214282,0.0006643815,0.00060827023],"about_ca_topic_score_codex":0.67997116,"about_ca_topic_score_gemma":0.69632936,"teacher_disagreement_score":0.12064428,"about_ca_system_score_codex":0.0016312686,"about_ca_system_score_gemma":0.0013358187,"threshold_uncertainty_score":0.99984795},"labels":[],"label_agreement":null},{"id":"W1533964549","doi":"","title":"The Causal Effects of Education on Adaptability","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Endogeneity; Unemployment; Instrumental variable; Census; Demographic economics; Labour economics; Economics; Survey data collection; Economic growth; Econometrics; Sociology; Demography","score_opus":0.02933247120997016,"score_gpt":0.3026917762354411,"score_spread":0.2733593050254709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533964549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8600786,0.0010192792,0.000012548076,0.00075922994,0.0016002016,0.0010672412,0.0001595615,0.000019337964,0.135284],"genre_scores_gemma":[0.9856309,0.012505742,0.00018550867,0.00008984487,0.0002081072,0.00020823516,0.000043658656,0.000041293537,0.0010866595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99663156,0.0003072801,0.0013392079,0.0009745235,0.00010849592,0.000638945],"domain_scores_gemma":[0.9956161,0.0016342072,0.00066852325,0.0018082337,0.00013450699,0.00013843212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055786697,0.00030379536,0.00076074,0.0004015397,0.00018875625,0.00015578515,0.0009466025,0.0004461551,0.000026811802],"category_scores_gemma":[0.0022639898,0.00029745328,0.0002594236,0.00018825599,0.0003049045,0.000072197494,0.0005111177,0.0015196344,0.0000161302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020774036,0.0009750058,0.024708813,0.0005493122,0.000118932345,0.0000050304184,0.00026509637,0.0017209729,0.000009989841,0.59264183,0.000064164764,0.3787331],"study_design_scores_gemma":[0.0005369787,0.0002752725,0.18412782,0.0002750423,0.000005766061,0.0000010708086,0.00012248784,0.004573645,0.000078353376,0.7864142,0.023063341,0.000526037],"about_ca_topic_score_codex":0.00047219192,"about_ca_topic_score_gemma":0.00039258745,"teacher_disagreement_score":0.37820706,"about_ca_system_score_codex":0.0012262656,"about_ca_system_score_gemma":0.0005872271,"threshold_uncertainty_score":0.9999478},"labels":[],"label_agreement":null},{"id":"W1535073365","doi":"10.3386/w12494","title":"Exploring Gender Differences in Employment and Wage Trends Among Less-Skilled Workers","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Sage Foundation; Russell Sage Foundation; U.S. Department of Health and Human Services","keywords":"Wage; Labour economics; Demographic economics; Wage growth; Economics; Business","score_opus":0.6203481510296851,"score_gpt":0.45024613581746287,"score_spread":0.17010201521222224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535073365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5994727,0.0018407407,0.0000073294295,0.00018253886,0.00047633194,0.0002445135,0.0004556166,0.000011234806,0.39730898],"genre_scores_gemma":[0.9840762,0.0050797793,0.000074102485,0.0000059133868,0.00035418643,0.00021875383,0.00037436074,0.00005171104,0.009764999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962573,0.0001129625,0.0016949077,0.0009320482,0.00043229567,0.00057047536],"domain_scores_gemma":[0.9978692,0.0006219142,0.00069696456,0.00036825755,0.00032469636,0.000118954296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007861147,0.00031474754,0.001069723,0.0024056318,0.00011168066,0.0001514367,0.00044850956,0.00035797362,0.00031383897],"category_scores_gemma":[0.0004043146,0.0003539568,0.00019301262,0.00041485272,0.00029098897,0.00036656155,0.00026815236,0.00077535794,0.00002125996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030115612,0.0001153012,0.7130683,0.00011341826,0.00014833098,0.000007276338,0.00011794024,0.00015367715,5.769626e-7,0.2821325,0.0014334201,0.0026791173],"study_design_scores_gemma":[0.00060556835,0.000039571278,0.7420388,0.00010021473,0.0000047927956,0.0000018585743,0.00009394731,0.00087721733,0.00000213037,0.2531366,0.0027299707,0.00036935147],"about_ca_topic_score_codex":0.026534421,"about_ca_topic_score_gemma":0.0040462036,"teacher_disagreement_score":0.38754398,"about_ca_system_score_codex":0.0020012993,"about_ca_system_score_gemma":0.0004927813,"threshold_uncertainty_score":0.9998912},"labels":[],"label_agreement":null},{"id":"W1535095305","doi":"","title":"L'incidence des caracteristiques d'une universite sur les resultats professionnels apres le diplome : temoignages de trois cohortes canadiennes recemment diplomees","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.042830879438778134,"score_gpt":0.2933025499752907,"score_spread":0.2504716705365126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535095305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651516,0.0029456627,0.00013040032,0.0022434464,0.0009267994,0.0014159597,0.0023317076,0.00008754874,0.024766883],"genre_scores_gemma":[0.9087214,0.07697862,0.00212082,0.00010317146,0.00034979463,0.00020558512,0.00028650422,0.0001695797,0.011064521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99108654,0.0009346746,0.0026176753,0.0024126875,0.00024858027,0.0026998338],"domain_scores_gemma":[0.99291563,0.0025961788,0.0014071983,0.0017120828,0.0006332623,0.0007356714],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010495553,0.00094362494,0.0019221655,0.0015098337,0.0011160116,0.0005320101,0.0018896828,0.0012405694,0.0001863977],"category_scores_gemma":[0.003050356,0.0011958049,0.00044589557,0.00084331894,0.0017115929,0.0008051739,0.0019035635,0.0026029455,0.000015921161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005827685,0.00085358013,0.7931607,0.0013265618,0.00061399094,0.00046323574,0.007706729,0.0028335878,0.0004015043,0.07235908,0.00008707425,0.11961119],"study_design_scores_gemma":[0.0016497957,0.00034388155,0.84424204,0.0024260953,0.000045412675,0.000030005338,0.009957722,0.015062184,0.0002924577,0.09579477,0.028010074,0.0021455428],"about_ca_topic_score_codex":0.14335652,"about_ca_topic_score_gemma":0.20285444,"teacher_disagreement_score":0.11746565,"about_ca_system_score_codex":0.006651859,"about_ca_system_score_gemma":0.0012259244,"threshold_uncertainty_score":0.9996981},"labels":[],"label_agreement":null},{"id":"W1535864015","doi":"","title":"Les heures de travail au Canada et aux Etats Unis","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.046907683664832354,"score_gpt":0.30551695581871596,"score_spread":0.25860927215388363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535864015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6459462,0.0014939009,0.000036358095,0.00263694,0.001787584,0.0006265416,0.0018699407,0.000020414318,0.3455821],"genre_scores_gemma":[0.91616076,0.045631964,0.00093435595,0.0008298113,0.0003484021,0.00020428459,0.00018908188,0.00019233678,0.035508983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914581,0.0012078251,0.0024332157,0.002134074,0.00022640091,0.0025403507],"domain_scores_gemma":[0.994652,0.0016413913,0.0008842989,0.0019539206,0.00023296883,0.00063545635],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011095417,0.00082258956,0.0017085923,0.0006487656,0.0005951048,0.00043520934,0.0016043924,0.0011421574,0.0015325161],"category_scores_gemma":[0.002329555,0.0011419732,0.00043510666,0.00042155437,0.00075728877,0.00022035073,0.0009541685,0.003720605,0.000038483155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00013531306,0.0004832749,0.3090008,0.00063867617,0.00047086168,0.00021291095,0.0012720502,0.025838653,0.000008280998,0.5357637,0.0005300975,0.12564544],"study_design_scores_gemma":[0.0012088332,0.000121863995,0.41013947,0.00031020635,0.000018005208,0.000029008193,0.0009252991,0.0128101185,0.00001666786,0.032503057,0.5403582,0.0015592934],"about_ca_topic_score_codex":0.7899492,"about_ca_topic_score_gemma":0.94420063,"teacher_disagreement_score":0.53982806,"about_ca_system_score_codex":0.013023788,"about_ca_system_score_gemma":0.009282587,"threshold_uncertainty_score":0.99938023},"labels":[],"label_agreement":null},{"id":"W1536431930","doi":"","title":"Returns to Apprenticeship in Canada","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Apprenticeship; Work (physics); Labour economics; Census; Demographic economics; Economics; Business; Finance; Engineering; Geography; Demography; Sociology; Population","score_opus":0.03979451160275217,"score_gpt":0.28180345928464123,"score_spread":0.24200894768188908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536431930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86787444,0.00016483593,0.0000050977264,0.001080601,0.0016385808,0.00083096995,0.00088766805,0.000016176158,0.12750164],"genre_scores_gemma":[0.99500316,0.0019859578,0.0005535788,0.0003181157,0.00022551263,0.00028495706,0.000119587414,0.0000873809,0.0014217476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99510896,0.000148757,0.0017230413,0.0016005657,0.0001363405,0.001282332],"domain_scores_gemma":[0.99681425,0.000471946,0.00044128564,0.0017790055,0.00008615502,0.00040738648],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00472155,0.00041604514,0.0011057181,0.0010020721,0.000088052104,0.00024501144,0.0015213372,0.00060762983,0.00043311642],"category_scores_gemma":[0.0012942227,0.00054724683,0.0001593173,0.0003849552,0.00010034386,0.00011383801,0.001645404,0.0037161838,0.000039683586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023406134,0.0004197918,0.80619025,0.0006723224,0.00016360433,0.00023322576,0.0014594854,0.01889958,0.000022745473,0.11619083,0.00026480877,0.055249304],"study_design_scores_gemma":[0.0020720668,0.00011371524,0.42494154,0.0004967358,0.000008008187,0.000008657351,0.0014056672,0.06100781,0.000040894694,0.3445297,0.1621986,0.0031766202],"about_ca_topic_score_codex":0.6723263,"about_ca_topic_score_gemma":0.98458964,"teacher_disagreement_score":0.38124868,"about_ca_system_score_codex":0.0045804973,"about_ca_system_score_gemma":0.0020116563,"threshold_uncertainty_score":0.9996979},"labels":[],"label_agreement":null},{"id":"W1536491098","doi":"10.1787/5k9csvkkr3xn-en","title":"Short-Term Gain or Pain? A DSGE Model-Based Analysis of the Short-Term Effects of Structural Reforms in Labour and Product Markets","year":2012,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Dynamic stochastic general equilibrium; Unemployment; Product market; Deflation; Product (mathematics); Monetary policy; General equilibrium theory; Short run; Monetary economics; Macroeconomics; Labour economics; Market economy","score_opus":0.020279276547783658,"score_gpt":0.23923636051661507,"score_spread":0.2189570839688314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536491098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98654336,0.002751043,0.00006796094,0.000087128996,0.0012167288,0.0011648583,0.0015758667,0.000012677627,0.0065803705],"genre_scores_gemma":[0.99464655,0.0019598885,0.0002459159,0.00016028523,0.0001185416,0.00013731676,0.0005684017,0.00009382701,0.0020692796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959227,0.00018390932,0.0019828274,0.0010725972,0.000090270994,0.00074770226],"domain_scores_gemma":[0.99683,0.00039170272,0.0012972987,0.001288837,0.000031693453,0.00016049661],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002255494,0.000686942,0.002122023,0.0007529569,0.00012386165,0.00010508321,0.00070552283,0.00042125027,0.00029156634],"category_scores_gemma":[0.00008858746,0.0005640531,0.0006149972,0.000511382,0.00020418112,0.00013639197,0.0002862361,0.0004519626,0.000009489869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045113097,0.00025557703,0.9496728,0.0015496234,0.0029358063,0.000006061072,0.00037930632,0.026507828,0.000045527424,0.008241327,0.00008634766,0.009868657],"study_design_scores_gemma":[0.0015680279,0.00012949533,0.8795219,0.0005373735,0.00092843245,0.0000027833753,0.00003394635,0.10933068,0.00026216893,0.0014871215,0.0042871647,0.0019108976],"about_ca_topic_score_codex":0.00009620571,"about_ca_topic_score_gemma":0.0010648607,"teacher_disagreement_score":0.082822844,"about_ca_system_score_codex":0.0006976802,"about_ca_system_score_gemma":0.00012911692,"threshold_uncertainty_score":0.9996811},"labels":[],"label_agreement":null},{"id":"W1536632010","doi":"10.7202/600930ar","title":"Revenus et niveaux de bilinguisme écrit et oral : les hommes québécois en 1971","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Earnings; Structural equation modeling; Sample (material); Psychology; Sociology; Humanities; Mathematics; Art; Economics; Statistics; Physics; Accounting","score_opus":0.050757309470134925,"score_gpt":0.27483069154607237,"score_spread":0.22407338207593744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536632010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624437,0.0006606896,0.0021050128,0.01377174,0.00025711852,0.00027375206,0.000517758,0.00012991138,0.019840293],"genre_scores_gemma":[0.9848177,0.0010050817,0.0029151207,0.009591966,0.0001914753,0.000024992147,0.00007245229,0.00004603565,0.0013351955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766755,0.00022407893,0.0009017417,0.00064690696,0.000027679984,0.00053204765],"domain_scores_gemma":[0.99830896,0.00040923292,0.0003979002,0.000642865,0.000056621615,0.00018442911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028023792,0.00033385208,0.00069395074,0.00021576279,0.00011055381,0.0001870175,0.0004672474,0.0002739937,0.00020836359],"category_scores_gemma":[0.0009655868,0.00037792113,0.00025347288,0.00018621497,0.000055597455,0.00040327033,0.00009311653,0.00044377765,0.000110168476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045192803,0.00016232164,0.016032344,0.0000266915,0.00005413015,0.000018412109,0.0033321548,0.000079033816,0.000047118738,0.9687026,0.0002690375,0.01123096],"study_design_scores_gemma":[0.0008078594,0.00018705023,0.12512453,0.00003547691,0.000013101623,0.000016471367,0.00033262043,0.00098578,0.00012327517,0.6682051,0.20342804,0.00074069377],"about_ca_topic_score_codex":0.01933887,"about_ca_topic_score_gemma":0.004807812,"teacher_disagreement_score":0.3004975,"about_ca_system_score_codex":0.00032753104,"about_ca_system_score_gemma":0.00018377508,"threshold_uncertainty_score":0.99986726},"labels":[],"label_agreement":null},{"id":"W1536793382","doi":"10.3929/ethz-a-007568961","title":"A real time evaluation of employment forecasts in Switzerland","year":2012,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Nowcasting; Econometrics; Economics; Series (stratigraphy); Consensus forecast; Actuarial science; Finance; Geography; Meteorology","score_opus":0.036714863229714186,"score_gpt":0.25960411749078055,"score_spread":0.22288925426106637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536793382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303053,0.0008973706,0.000056422243,0.00009171436,0.00089643913,0.0004361353,0.000274488,0.000027720476,0.06701442],"genre_scores_gemma":[0.9986327,0.00010257819,0.00038895875,0.000046288496,0.00016945481,0.000066804474,0.0000412724,0.0000310337,0.00052088534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976678,0.000114114504,0.0011830033,0.0003979224,0.00012720974,0.0005099329],"domain_scores_gemma":[0.9984588,0.0001439292,0.00065233215,0.0004855753,0.000098805125,0.00016054467],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0051041422,0.00022925588,0.0006319975,0.00038774314,0.00005700496,0.000028710245,0.00021515328,0.00017492937,0.0024216275],"category_scores_gemma":[0.00026030105,0.00026519914,0.00016107816,0.00026778004,0.00010875273,0.00043155966,0.000074985066,0.00016150982,0.0004518965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025438214,0.00023684182,0.95308375,0.000020596452,0.000052117208,9.882785e-7,0.00044627537,0.000033020402,0.000054023232,0.044678792,0.0002323989,0.0011357251],"study_design_scores_gemma":[0.0017297204,0.000070962335,0.9718431,0.00003823913,0.000027305854,0.000009038617,0.000046798203,0.0065509947,0.00009667202,0.017275568,0.0018920691,0.00041951405],"about_ca_topic_score_codex":0.0007064409,"about_ca_topic_score_gemma":0.00027866557,"teacher_disagreement_score":0.068327434,"about_ca_system_score_codex":0.0005813079,"about_ca_system_score_gemma":0.00012286518,"threshold_uncertainty_score":0.99998003},"labels":[],"label_agreement":null},{"id":"W1537571225","doi":"10.22004/ag.econ.274618","title":"How Targeted is Targeted Tax Relief? Evidence from the Unemployment Insurance Youth Hires Program","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Subsidy; Unemployment; Earnings; Youth unemployment; Economics; Demographic economics; Labour economics; Displaced workers; Displacement (psychology); Economic growth; Finance; Psychology","score_opus":0.06091672299873959,"score_gpt":0.24222313845914661,"score_spread":0.18130641546040702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537571225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96926814,0.004180136,0.002077652,0.011574241,0.00063333876,0.0012507292,0.010372348,0.00008841867,0.0005550032],"genre_scores_gemma":[0.9874499,0.006127844,0.0027610068,0.00025215518,0.00017233942,0.000009479339,0.00051417865,0.00005278409,0.0026603325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964924,0.00033621993,0.00066405727,0.0014528697,0.00033013654,0.0007243563],"domain_scores_gemma":[0.99570227,0.00053484674,0.0012256216,0.0019081509,0.00037734496,0.00025176335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021213153,0.00052571535,0.0011958025,0.0002772036,0.00040457127,0.00031038915,0.0022749717,0.00055683404,0.0006714873],"category_scores_gemma":[0.00041317783,0.00057200587,0.0005524037,0.0004912544,0.0005404078,0.0004951009,0.0016708281,0.0011443199,0.00016127239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000881347,0.0013492805,0.8759575,0.0013861395,0.0024906346,0.00015873514,0.039023284,0.0010438113,0.00020911408,0.01595873,0.02279304,0.038748402],"study_design_scores_gemma":[0.0026222575,0.0006344143,0.86702055,0.0011888819,0.00019263744,0.0000020329448,0.0051184706,0.02835623,0.00026786773,0.023386575,0.068809584,0.0024004916],"about_ca_topic_score_codex":0.033364605,"about_ca_topic_score_gemma":0.0025089427,"teacher_disagreement_score":0.046016544,"about_ca_system_score_codex":0.000294031,"about_ca_system_score_gemma":0.00017647786,"threshold_uncertainty_score":0.9996731},"labels":[],"label_agreement":null},{"id":"W1538628086","doi":"","title":"The value of nursing education in Canada: the choice of diploma or baccalaureate degree","year":2008,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Baccalaureate Degree; Human capital; Human capital theory; Value (mathematics); Nursing; Nurse education; Medicine; Demographic economics; Medical education; Psychology; Actuarial science; Economics; Higher education; Accounting; Economic growth","score_opus":0.04637382525444269,"score_gpt":0.24568239755681265,"score_spread":0.19930857230236995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538628086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97686064,0.0008497171,0.000045658995,0.004171052,0.0005026111,0.0002040961,0.00010524303,0.000003348927,0.017257646],"genre_scores_gemma":[0.9973508,0.0012691147,0.00018868998,0.00021556435,0.00007028606,0.000015631951,0.000006383162,0.00001820115,0.0008653236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998563,0.000044964305,0.00091085595,0.00022799875,0.000026012682,0.00022716938],"domain_scores_gemma":[0.99832785,0.0005058091,0.0006184737,0.00046603082,0.000039919607,0.000041939722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007247331,0.00012244648,0.00033993364,0.00006105188,0.00012884938,0.000016504817,0.00041719238,0.000052477488,0.00013248615],"category_scores_gemma":[0.0002648133,0.000091962385,0.000070887494,0.00012806639,0.00014190152,0.00003899364,0.000045785255,0.00014016856,0.00001319186],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012060055,0.00023879616,0.3770607,0.000030415458,0.00006392914,0.0000016943984,0.0004900442,0.0011975337,0.000003051715,0.6020058,0.002912017,0.015875453],"study_design_scores_gemma":[0.0005318162,0.000036870766,0.89233965,0.00005072053,0.0000068061086,0.000009060961,0.0003630245,0.0031781995,0.000070830625,0.033696465,0.069478415,0.00023812888],"about_ca_topic_score_codex":0.50800896,"about_ca_topic_score_gemma":0.40857893,"teacher_disagreement_score":0.5683093,"about_ca_system_score_codex":0.00054480747,"about_ca_system_score_gemma":0.0009573617,"threshold_uncertainty_score":0.60221297},"labels":[],"label_agreement":null},{"id":"W1539886245","doi":"","title":"Youth Labour Market Integration In Spain: The Connection Between Search Time, Job Duration And Skill-Mismatch","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Quarter (Canadian coin); Sample (material); Work (physics); Period (music); Demographic economics; Labour economics; Economics; Psychology; Geography; Engineering","score_opus":0.03529775566088162,"score_gpt":0.2790409557496707,"score_spread":0.24374320008878908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539886245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958726,0.00022813976,0.00012869785,0.0018567919,0.0003215456,0.001204466,0.000876033,0.000032927503,0.03662541],"genre_scores_gemma":[0.99034894,0.006752442,0.00019599803,0.00008749799,0.00028805985,0.0001395735,0.00031077434,0.00007051373,0.0018061991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99558103,0.00051655143,0.0017440977,0.0012353689,0.0001431802,0.0007797631],"domain_scores_gemma":[0.9974972,0.0007424515,0.00050453196,0.00096736604,0.00013629417,0.00015218131],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012085326,0.00039314578,0.0008550554,0.000904409,0.00024216139,0.0005195473,0.0006228375,0.0006869943,0.00019182511],"category_scores_gemma":[0.0011409336,0.0004008277,0.00014876178,0.00040981034,0.00028142802,0.00026665846,0.0007609791,0.0022662918,0.000029068753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041794844,0.00040313657,0.7002402,0.0007108911,0.00029706865,0.00003571729,0.0095836595,0.01152209,0.000030240055,0.16549465,0.00003007728,0.11123432],"study_design_scores_gemma":[0.0018681028,0.00015087337,0.69959635,0.00048226796,0.000012519482,0.0000060802445,0.0026916822,0.05373842,0.0000380198,0.23921862,0.0011622544,0.0010348245],"about_ca_topic_score_codex":0.0030398779,"about_ca_topic_score_gemma":0.0018256856,"teacher_disagreement_score":0.110199496,"about_ca_system_score_codex":0.0018764638,"about_ca_system_score_gemma":0.00029157463,"threshold_uncertainty_score":0.9998444},"labels":[],"label_agreement":null},{"id":"W1540130390","doi":"10.1515/9781553393290-013","title":"The Effectiveness of Training for Displaced Workers with Long Prior Job Tenure","year":2013,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Displaced workers; Training (meteorology); Restructuring; Wage; Labour economics; Economics; Population; Demographic economics; Finance; Geography","score_opus":0.01974349057201046,"score_gpt":0.1981058572817152,"score_spread":0.17836236670970473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540130390","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019016847,0.000017813232,0.0023169492,0.000069505266,0.00028476704,0.0018842539,0.0025343117,0.00006156967,0.9909291],"genre_scores_gemma":[0.16013001,0.00010671956,0.00039707695,0.000023728247,0.000059038608,0.000022263404,0.00006772759,0.00012119969,0.8390722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828106,0.00007356181,0.0004730986,0.0006558585,0.000099569435,0.00041685786],"domain_scores_gemma":[0.99720335,0.0009297444,0.00085286994,0.0006848286,0.00020407517,0.0001251445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009834087,0.00043267457,0.0008778555,0.0001685075,0.00049070426,0.00006682291,0.00050725613,0.00039747645,0.000016813985],"category_scores_gemma":[0.000060647257,0.00038403217,0.000332163,0.00002558495,0.00028395184,0.00013091897,0.00019676508,0.00039093458,0.0000045277934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009924837,0.000012305905,0.00040833128,0.0003602949,0.0005527165,0.000017497048,0.0000717796,0.000043597942,9.07595e-7,0.99648356,0.00007392168,0.0009826066],"study_design_scores_gemma":[0.003476694,0.0003444908,0.004818436,0.000946625,0.00027275388,0.0000029170706,0.00010482016,0.00022961646,0.00004154336,0.0429573,0.9455596,0.0012451774],"about_ca_topic_score_codex":0.00078919035,"about_ca_topic_score_gemma":0.0000064980018,"teacher_disagreement_score":0.95352626,"about_ca_system_score_codex":0.00026933555,"about_ca_system_score_gemma":0.000051303683,"threshold_uncertainty_score":0.9998612},"labels":[],"label_agreement":null},{"id":"W1541103566","doi":"","title":"Wage Progression of Less Skilled Workers in Canada: Evidence from the SLID (1993-1998)","year":2002,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Human capital; Labour economics; Wage; Wage growth; Economics; Work (physics); Order (exchange); Economic growth","score_opus":0.18379035903800486,"score_gpt":0.34778980265191195,"score_spread":0.1639994436139071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541103566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95401436,0.03098352,0.000011826411,0.012057287,0.00017053117,0.00033470662,0.00012348001,0.000009479213,0.0022947977],"genre_scores_gemma":[0.98461103,0.014399455,0.000062833715,0.00018303076,0.00008363242,0.000065232685,0.0000042921733,0.000016479435,0.0005740262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973788,0.00024356454,0.00086515787,0.0005261941,0.00033536163,0.0006509117],"domain_scores_gemma":[0.99648887,0.002486931,0.00016347905,0.00058528734,0.00016745891,0.00010800292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002408052,0.00018927827,0.0006934836,0.0000968889,0.00027799825,0.0000651901,0.0005732305,0.000074986376,0.00024789447],"category_scores_gemma":[0.003272557,0.00013560319,0.00010206529,0.0010160086,0.0005661586,0.00034788466,0.00042184486,0.00050278404,0.000033757948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011874623,0.00009441811,0.9690732,0.00007054287,0.00024307641,0.000033733715,0.0013199894,0.000029412598,0.000012885754,0.020885635,0.0028939173,0.005224493],"study_design_scores_gemma":[0.00056358596,0.00012881891,0.95514625,0.0004981097,0.0000118294665,7.916505e-7,0.0049531288,0.0022031832,0.000027987293,0.025709284,0.010433589,0.00032341047],"about_ca_topic_score_codex":0.6143888,"about_ca_topic_score_gemma":0.8493571,"teacher_disagreement_score":0.23496835,"about_ca_system_score_codex":0.00049755326,"about_ca_system_score_gemma":0.00012864082,"threshold_uncertainty_score":0.55297375},"labels":[],"label_agreement":null},{"id":"W1542075583","doi":"","title":"Labour Outcomes of Graduates and Dropouts of High School and Post-secondary Education: Evidence for Canadian 24- to 26-year-olds in 2005","year":2010,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canada Millennium Scholarship Foundation","keywords":"Ceteris paribus; Demographic economics; Higher education; Political science; Psychology; Demography; Medical education; Gerontology; Economics; Sociology; Medicine; Economic growth","score_opus":0.0213612860836757,"score_gpt":0.245395347757741,"score_spread":0.2240340616740653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542075583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816561,0.0041204602,0.000047318623,0.002083049,0.00062522304,0.0007648456,0.010211126,0.000009572023,0.00048235751],"genre_scores_gemma":[0.9910177,0.0048636077,0.0017901745,0.000087940796,0.000044799966,0.0000045846054,0.00028443412,0.000021098384,0.0018856572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979296,0.00005032503,0.00079040864,0.00086218707,0.00008846286,0.0002790372],"domain_scores_gemma":[0.9971437,0.0002601105,0.0009479114,0.0010455458,0.00023761355,0.0003651447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007059233,0.0002758223,0.00094533345,0.00048416285,0.00014713878,0.0000679485,0.00061423075,0.00029305962,0.000055437788],"category_scores_gemma":[0.00044015996,0.00033419748,0.000072124785,0.000102960636,0.00023817227,0.000460151,0.0008650409,0.00030414402,0.0000010673122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002738183,0.00019131506,0.9694358,0.0011414803,0.00039554635,0.000023146702,0.00024780884,0.000013170004,0.00007493682,0.022578143,0.0022905946,0.0033342273],"study_design_scores_gemma":[0.0011834569,0.00010653161,0.9765428,0.0003485813,0.00011691696,0.0000075411467,0.00032865358,0.00013107997,0.000029576295,0.009889012,0.010890808,0.00042509582],"about_ca_topic_score_codex":0.6615321,"about_ca_topic_score_gemma":0.5278676,"teacher_disagreement_score":0.13366447,"about_ca_system_score_codex":0.0002205661,"about_ca_system_score_gemma":0.000646577,"threshold_uncertainty_score":0.999911},"labels":[],"label_agreement":null},{"id":"W1542222813","doi":"","title":"Passage des etudes au travail chez les diplomes des universites canadiennes: duree de recherche d'un premier emploi, 1982-1990","year":2000,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.13670143345640404,"score_gpt":0.3409175397916994,"score_spread":0.20421610633529538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542222813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9088449,0.021379719,0.0044809743,0.0007694333,0.0002987845,0.0005392794,0.0005634244,0.00029105652,0.06283244],"genre_scores_gemma":[0.69106734,0.1477302,0.03674911,0.0003623083,0.00034213453,0.0000932048,0.0001287337,0.00020473688,0.12332226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9894064,0.00521428,0.0015604811,0.0014850181,0.00023064119,0.0021031802],"domain_scores_gemma":[0.9951767,0.002052472,0.000697045,0.000908385,0.00038348263,0.00078194594],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.018038552,0.0010044917,0.0013052347,0.00064635696,0.0011378633,0.0007773938,0.0010339209,0.0023850766,0.007385698],"category_scores_gemma":[0.0026636743,0.0012198616,0.00077231077,0.0021453728,0.0013487175,0.0016248549,0.00018518114,0.0023547001,0.00010995379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022848757,0.000831341,0.52037245,0.00069205853,0.0018363184,0.00007540078,0.020011378,0.000550231,0.00013527219,0.011398142,0.00033110735,0.44353783],"study_design_scores_gemma":[0.0020481597,0.0006475605,0.43834397,0.0014303006,0.0008276582,0.00014065752,0.0057855905,0.006540417,0.001978212,0.41422778,0.12518677,0.0028429313],"about_ca_topic_score_codex":0.258394,"about_ca_topic_score_gemma":0.23334067,"teacher_disagreement_score":0.4406949,"about_ca_system_score_codex":0.025300136,"about_ca_system_score_gemma":0.0006640603,"threshold_uncertainty_score":0.9999469},"labels":[],"label_agreement":null},{"id":"W1542471527","doi":"","title":"L'evolution de l'ecart des gains entre les sexes chez les diplomes des universites canadiennes","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.03679538675668818,"score_gpt":0.26674707590841595,"score_spread":0.22995168915172778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542471527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9346162,0.004565008,0.0002245383,0.00062240876,0.00055611646,0.0006894453,0.0017160954,0.000063232525,0.056946956],"genre_scores_gemma":[0.92239374,0.06376687,0.0020501604,0.000036148904,0.00033724518,0.00008779012,0.00020744385,0.00013273951,0.010987886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99362886,0.00051106233,0.0015523647,0.0018114058,0.00014122928,0.0023550764],"domain_scores_gemma":[0.9964312,0.0008862543,0.00069018855,0.0011578341,0.00025618525,0.000578347],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0046296767,0.0007676781,0.0013739108,0.00128833,0.0011786133,0.00041887435,0.0013215635,0.0011547565,0.00068623654],"category_scores_gemma":[0.0011313254,0.0010518421,0.000546433,0.0005611596,0.0027654963,0.0004981911,0.0011751117,0.0019778803,0.00003453616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009378729,0.00033004812,0.6608431,0.00065459555,0.0002856695,0.00008239736,0.0036345306,0.039465193,0.000031707055,0.23296273,0.000009822069,0.06160646],"study_design_scores_gemma":[0.0014704942,0.00021990902,0.59435385,0.0010547637,0.00004303249,0.00003429677,0.008147887,0.017927812,0.00006760308,0.34852597,0.026513416,0.0016409586],"about_ca_topic_score_codex":0.0739186,"about_ca_topic_score_gemma":0.2220344,"teacher_disagreement_score":0.1481158,"about_ca_system_score_codex":0.018126251,"about_ca_system_score_gemma":0.0013544186,"threshold_uncertainty_score":0.9999484},"labels":[],"label_agreement":null},{"id":"W1542596017","doi":"","title":"Provincial Returns to Education for 21 to 35 year-olds: Results from the 1991-2006 Canadian Analytic Censuses Files","year":2011,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canada Millennium Scholarship Foundation","keywords":"Earnings; Bachelor; Higher education; Demographic economics; Wage; Economics; Demography; Labour economics; Political science; Economic growth; Sociology; Finance","score_opus":0.02576393410873985,"score_gpt":0.2249299822819734,"score_spread":0.19916604817323355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542596017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68364406,0.0015367953,0.00027610039,0.0047279373,0.0028752654,0.0029565901,0.2788267,0.000058799127,0.025097761],"genre_scores_gemma":[0.98185015,0.0008337209,0.0017139156,0.00036413196,0.00047860795,0.000011934411,0.009708213,0.00003752422,0.005001834],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972925,0.000074761905,0.0007883267,0.0013340953,0.00011298753,0.00039731574],"domain_scores_gemma":[0.9961041,0.0002610715,0.0009057493,0.0020825926,0.00020336374,0.0004431129],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006579513,0.00034248398,0.00068451336,0.00028035766,0.00044241958,0.0001757222,0.0014044907,0.00029236692,0.00003933944],"category_scores_gemma":[0.00051097723,0.00036522918,0.00014364875,0.00016194666,0.00012035054,0.00025580928,0.0011122074,0.00025720056,0.000014307308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002321437,0.0006794093,0.07796009,0.00042272292,0.0019102058,0.000103545215,0.003277825,0.00019688292,0.000026267038,0.043268584,0.86116064,0.008672373],"study_design_scores_gemma":[0.0016476905,0.00017467134,0.14248875,0.00045941837,0.00043363066,0.000005078007,0.001000407,0.0004133896,0.000016065267,0.021726204,0.83051354,0.0011211843],"about_ca_topic_score_codex":0.8722567,"about_ca_topic_score_gemma":0.7945513,"teacher_disagreement_score":0.2982061,"about_ca_system_score_codex":0.00069107715,"about_ca_system_score_gemma":0.0005228158,"threshold_uncertainty_score":0.99987996},"labels":[],"label_agreement":null},{"id":"W1544862424","doi":"","title":"El desajuste educativo en el mercado de trabajo de EE.UU, Canadá, Hong Kong, Alemania, Reino Unido, Holanda, Portugal y España","year":2003,"lang":"es","type":"article","venue":"Anales de economía aplicada 2003, 2003, ISBN 84-607-7655-7","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; European union; Geography; Economics; Art","score_opus":0.013344087512444447,"score_gpt":0.24813024593820512,"score_spread":0.23478615842576067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544862424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92111015,0.015233196,0.0042592306,0.002388804,0.0020757609,0.0015519983,0.004017219,0.00018648492,0.049177144],"genre_scores_gemma":[0.9518725,0.018784609,0.00528466,0.0039263493,0.001311784,0.0002803389,0.00044181224,0.0004726337,0.017625313],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880587,0.0009147134,0.0037184728,0.002965041,0.000323945,0.0040191216],"domain_scores_gemma":[0.99147755,0.0005437226,0.0023825997,0.0028139567,0.0007107204,0.0020714751],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006163366,0.001877316,0.0028583647,0.0011906105,0.0009812113,0.0010227516,0.002114611,0.0016388687,0.0029224406],"category_scores_gemma":[0.002345163,0.0024226506,0.00083248405,0.0026275085,0.0005554219,0.0011777914,0.00030980448,0.0021616302,0.00069756125],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013526226,0.0008615617,0.64077944,0.0004546053,0.0011282446,0.00031064695,0.0011595238,0.00079992105,0.00006561394,0.32869577,0.023389898,0.0022195233],"study_design_scores_gemma":[0.0033946126,0.00050459895,0.4657073,0.00037882986,0.000572058,0.0004937231,0.0014022021,0.012178135,0.00043734116,0.02717108,0.48312148,0.0046386276],"about_ca_topic_score_codex":0.032366946,"about_ca_topic_score_gemma":0.015682308,"teacher_disagreement_score":0.45973158,"about_ca_system_score_codex":0.0045311823,"about_ca_system_score_gemma":0.0046089785,"threshold_uncertainty_score":0.9996572},"labels":[],"label_agreement":null},{"id":"W1545723881","doi":"10.1177/001979390806200104","title":"The Effect of Labor Market Institutions on Salaried and Self-Employed Less-Educated Men in the 1980S","year":2008,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Salary; Labour economics; Wage; Economics; Wage growth; Wage share; Technological change; Efficiency wage; Labor demand; Value (mathematics); Demographic economics; Market economy","score_opus":0.05808755929140597,"score_gpt":0.27009501505958206,"score_spread":0.2120074557681761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545723881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312496,0.042305153,0.000003689135,0.010261684,0.00019931787,0.0011295434,0.00039606364,0.00001916977,0.014435747],"genre_scores_gemma":[0.9357582,0.063209414,0.00001737865,0.0002835348,0.00006360921,0.000099764584,0.000026378679,0.0000095302275,0.00053222483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985459,0.0003233135,0.0006814417,0.0002268677,0.0000593692,0.00016310794],"domain_scores_gemma":[0.99840105,0.00090663077,0.0002891711,0.00031698955,0.000039984992,0.00004618344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024075373,0.00014513724,0.00042134544,0.000083229745,0.0003752687,0.00004039464,0.00017193561,0.00012684477,0.000061021226],"category_scores_gemma":[0.001198074,0.00008946169,0.00005882504,0.0008055502,0.00015324436,0.00010505651,0.000036946003,0.00034763973,0.00001098966],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009256714,0.00017684764,0.40249422,0.00021523153,0.000121393285,0.0000064277106,0.00037402633,0.0000127384865,6.9021206e-7,0.58261436,0.008250726,0.0056407605],"study_design_scores_gemma":[0.002325177,0.0003165025,0.46315882,0.00065359735,0.00009130128,0.000016728658,0.000045902914,0.00027923207,0.0000029790797,0.005847715,0.52695495,0.00030708467],"about_ca_topic_score_codex":0.00041635233,"about_ca_topic_score_gemma":0.00006817672,"teacher_disagreement_score":0.57676667,"about_ca_system_score_codex":0.000041716445,"about_ca_system_score_gemma":0.000069221314,"threshold_uncertainty_score":0.3648142},"labels":[],"label_agreement":null},{"id":"W1546200662","doi":"","title":"The Shadow Labor Supply and Its Implications for the Unemployment Rate","year":2013,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Shadow (psychology); Recession; Quarter (Canadian coin); Labour economics; Unemployment rate; Work (physics); Discouraged worker; Demographic economics; Government (linguistics); Economic shortage; Economic growth; Geography; Keynesian economics; Psychology","score_opus":0.0625071621130385,"score_gpt":0.27298768912884064,"score_spread":0.21048052701580214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546200662","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16048586,0.67598414,0.0029140087,0.13836142,0.0014515037,0.009568985,0.0016348887,0.000061412,0.0095377825],"genre_scores_gemma":[0.77421,0.21456541,0.00041514207,0.0022220714,0.00020859402,0.0034793497,0.000029728131,0.000037003505,0.004832713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998147,0.000052579286,0.0010320172,0.00040657967,0.000015328194,0.00034650316],"domain_scores_gemma":[0.9973301,0.0012478069,0.00058223645,0.00066308945,0.00007679105,0.00009994332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032773898,0.00018160565,0.00045263834,0.0001504111,0.0005016968,0.00038360135,0.00049017754,0.00005527228,0.0003131134],"category_scores_gemma":[0.0012200059,0.00011212208,0.00017217004,0.00079116126,0.00005271369,0.00023822731,0.000103180726,0.00011126709,0.0005642836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026072764,0.000027696275,0.04725704,0.000047732545,0.00005494834,2.8304406e-8,0.0000391405,0.0000058462115,0.0000020041687,0.8923657,0.008054914,0.05214234],"study_design_scores_gemma":[0.00017757058,0.000024029416,0.22057031,0.0000051920947,0.000008836164,6.792709e-7,0.000009503173,0.0016568098,0.0000011821323,0.12764324,0.64976335,0.00013931486],"about_ca_topic_score_codex":0.00012793772,"about_ca_topic_score_gemma":0.000040878076,"teacher_disagreement_score":0.76472247,"about_ca_system_score_codex":0.0000777398,"about_ca_system_score_gemma":0.000015484899,"threshold_uncertainty_score":0.72529125},"labels":[],"label_agreement":null},{"id":"W1547340579","doi":"","title":"Le niveau de richesse des familles d'immigrants au Canada","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Geography; Political science; Art","score_opus":0.028083412553169873,"score_gpt":0.2612627281799551,"score_spread":0.23317931562678523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547340579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73934066,0.0016755546,0.000055241635,0.001238714,0.0015057761,0.00062021025,0.0014306311,0.000018859771,0.25411433],"genre_scores_gemma":[0.93001556,0.049599852,0.0015001058,0.0003545936,0.0003190243,0.00020749266,0.00014656557,0.00017211377,0.017684696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919785,0.0007155159,0.002250145,0.002059153,0.00018989613,0.0028067622],"domain_scores_gemma":[0.99523133,0.0012008955,0.00084644393,0.0018385799,0.00024254184,0.00064020144],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0073423013,0.0007707362,0.0017215423,0.0006675356,0.0007589014,0.0003242042,0.0015959837,0.0009956346,0.00023863548],"category_scores_gemma":[0.0020300578,0.0011153677,0.00042077567,0.00053326535,0.000995126,0.00027049566,0.0010144647,0.0025681767,0.00003284984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00011931266,0.0005634737,0.5540093,0.0006784184,0.00041580244,0.00019831012,0.0009951753,0.011480319,0.000015460364,0.38117316,0.00019236119,0.05015892],"study_design_scores_gemma":[0.0019527732,0.00012094953,0.54329133,0.0005396583,0.000020495112,0.000035692392,0.0027163422,0.013649461,0.000045602326,0.14384133,0.29164648,0.0021398647],"about_ca_topic_score_codex":0.8594174,"about_ca_topic_score_gemma":0.9451432,"teacher_disagreement_score":0.29145414,"about_ca_system_score_codex":0.012534513,"about_ca_system_score_gemma":0.010402364,"threshold_uncertainty_score":0.9997329},"labels":[],"label_agreement":null},{"id":"W1549870337","doi":"10.3968/5181","title":"Reform and Challenges in China’s Labor Market","year":2014,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Secondary labor market; Split labor market theory; Control (management); Labour economics; Economics; The labor problem; Service (business); Labor relations; Factor market; Market economy; Business; Economy; Political science","score_opus":0.08300529602430973,"score_gpt":0.3028876488253256,"score_spread":0.21988235280101587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549870337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473898,0.016084353,0.0000045588804,0.0034912392,0.00028953646,0.00005703935,0.000013686064,0.0000046828513,0.03266512],"genre_scores_gemma":[0.97110635,0.028436221,0.0002861807,0.00008783058,0.000018367486,0.000008962626,2.0125749e-7,0.000003034489,0.00005287725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99897146,0.000035417757,0.0003769064,0.00034186916,0.000028382354,0.0002459879],"domain_scores_gemma":[0.99947816,0.00012480651,0.00016314119,0.00017757967,0.000033339125,0.000022981192],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0051552565,0.000077333374,0.0003792718,0.00019196013,0.00007512915,0.0000026383198,0.00022853132,0.00006090076,0.000009258669],"category_scores_gemma":[0.00092438626,0.00007223564,0.000017611215,0.00022695416,0.009356932,0.00012242736,0.00021127744,0.00011082674,0.0000018624679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007773351,0.000026821706,0.16980188,0.00006676272,0.000007046164,7.994162e-7,0.017473672,0.0000026203597,0.0000048403344,0.81125516,0.0000065336435,0.0013460901],"study_design_scores_gemma":[0.00020967127,0.000046404944,0.63577867,0.000015380145,4.2401072e-7,5.0611715e-7,0.0082028285,0.00040295368,0.0000020858124,0.354811,0.00045551217,0.00007454118],"about_ca_topic_score_codex":0.00019320598,"about_ca_topic_score_gemma":0.00028925444,"teacher_disagreement_score":0.4659768,"about_ca_system_score_codex":0.00014339278,"about_ca_system_score_gemma":0.000013943021,"threshold_uncertainty_score":0.993339},"labels":[],"label_agreement":null},{"id":"W1550113574","doi":"","title":"Analysis of China’s Employment in Cities and Towns","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Unemployment; Economics; Tertiary sector of the economy; Service (business); Labour economics; Unemployment rate; Labor relations; Labor demand; Supply and demand; State (computer science); Rural area; Business; Economic growth; Economy; Political science; Macroeconomics","score_opus":0.016925869895113313,"score_gpt":0.2257354280198625,"score_spread":0.20880955812474916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550113574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8892723,0.00004346931,0.00010196615,0.00039778717,0.00006499283,0.00003372708,0.00012953811,0.0000023022528,0.10995396],"genre_scores_gemma":[0.99963236,0.000012570424,0.00003216377,0.00018095372,0.000015930666,0.0000022162967,0.0000026000139,0.0000022751803,0.00011894968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99932146,0.000010270974,0.0002157918,0.00019584225,0.000035106314,0.00022150915],"domain_scores_gemma":[0.9996609,0.000015508534,0.00008445377,0.00009895644,0.000019243644,0.0001209421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012130565,0.000046628928,0.00021936005,0.0005679233,0.000112318,0.00004447145,0.00016447621,0.00003108977,0.00006696153],"category_scores_gemma":[0.00012872358,0.000054843564,0.000036363777,0.0013025412,0.00025850683,0.000097864955,0.000024881954,0.000040470797,0.0000015546195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.246553e-7,0.0000025246272,0.48521167,0.0000014897481,0.0000070818733,2.1292338e-7,0.0006067038,0.0000035463108,0.0000023088771,0.5131741,0.0000031877498,0.0009868393],"study_design_scores_gemma":[0.000059077312,0.0000076141196,0.97565997,0.0000013760646,0.000005652484,3.6835022e-8,0.00012696967,0.0024040649,0.0000017558939,0.019307211,0.0023493501,0.00007693391],"about_ca_topic_score_codex":0.13211069,"about_ca_topic_score_gemma":0.16378011,"teacher_disagreement_score":0.4938669,"about_ca_system_score_codex":0.00020260435,"about_ca_system_score_gemma":0.000066903616,"threshold_uncertainty_score":0.8736687},"labels":[],"label_agreement":null},{"id":"W1550288074","doi":"","title":"Pourquoi la plupart des etudiants universitaires sont-ils des femmes? Analyse fondee sur le rendement scolaire, les methodes de travail et l'influence des parents","year":2007,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.18793293170929112,"score_gpt":0.38617122569643203,"score_spread":0.1982382939871409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550288074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91644573,0.023852292,0.046038393,0.0003912064,0.00019182939,0.00041778255,0.00021904072,0.00018206412,0.012261664],"genre_scores_gemma":[0.8605748,0.05990645,0.07311488,0.00023453505,0.00008193173,0.000039255418,0.000043675187,0.00010632201,0.0058981543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913009,0.003399925,0.001615598,0.0012369859,0.00026818126,0.002178426],"domain_scores_gemma":[0.9947854,0.0022187142,0.0010016934,0.0006661816,0.0005838749,0.00074410246],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.031204803,0.00079278427,0.0011445018,0.0008144092,0.0009463813,0.00080121827,0.00075233384,0.001083478,0.00030751835],"category_scores_gemma":[0.004261538,0.0009803019,0.0006478907,0.0019151571,0.001242857,0.0023354597,0.00028063648,0.0011928871,0.000024211391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002612695,0.0011444552,0.8115292,0.0005694381,0.0017728623,0.000094820345,0.0056992755,0.0014381262,0.0003716673,0.026893524,0.00015709497,0.15006824],"study_design_scores_gemma":[0.0015132034,0.00027912835,0.8039687,0.001001119,0.0004390477,0.000051139366,0.0071393154,0.0029512476,0.0022535375,0.17369626,0.0054968647,0.0012104284],"about_ca_topic_score_codex":0.08398886,"about_ca_topic_score_gemma":0.11503702,"teacher_disagreement_score":0.1488578,"about_ca_system_score_codex":0.009698254,"about_ca_system_score_gemma":0.0009102168,"threshold_uncertainty_score":0.9992647},"labels":[],"label_agreement":null},{"id":"W1554343200","doi":"10.2139/ssrn.2114904","title":"The Timing of Earnings Sampling Over the Life-Cycle and IV Identification of the Return to Schooling","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Earnings; Identification (biology); Econometrics; Population; Sampling (signal processing); Sample (material); Statistics; Mathematics; Computer science; Economics; Demography; Finance","score_opus":0.017912436194635412,"score_gpt":0.24334353220394064,"score_spread":0.22543109600930522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554343200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98620796,0.0060464772,0.005904879,0.001256542,0.00026678792,0.00010281573,0.000007896133,0.0000028684606,0.00020378517],"genre_scores_gemma":[0.9977035,0.0018648797,0.000035499746,0.00007570082,0.00015080161,0.0000025402908,3.6284453e-7,0.00001155379,0.00015518296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99854875,0.000056784364,0.00057465065,0.00010261886,0.00006697737,0.0006502328],"domain_scores_gemma":[0.9987682,0.00016442378,0.0007202316,0.00024695374,0.000052728385,0.000047472902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072340816,0.0000743027,0.00014792585,0.000046993722,0.00038576062,0.000071719005,0.00031229973,0.000040428313,0.000008895718],"category_scores_gemma":[0.0008176858,0.000044500197,0.00008450274,0.00019836261,0.00005175897,0.0001598834,0.0000827329,0.0006489087,0.0000026931807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030196748,0.000024488301,0.26864737,0.000011395251,0.00012813363,1.8096447e-8,0.0011536434,0.00025478937,0.0005403693,0.7250026,0.000013804691,0.0041932096],"study_design_scores_gemma":[0.00026228811,0.000036180267,0.56262153,0.000027581878,0.000026342746,0.000014175599,0.0011324752,0.003956867,0.00009493177,0.4292752,0.0024177316,0.00013465797],"about_ca_topic_score_codex":0.00015114597,"about_ca_topic_score_gemma":0.00009403556,"teacher_disagreement_score":0.29572734,"about_ca_system_score_codex":0.00013548926,"about_ca_system_score_gemma":0.00011626857,"threshold_uncertainty_score":0.2966998},"labels":[],"label_agreement":null},{"id":"W1555420864","doi":"10.3386/w8413","title":"Labour Market Reforms and Changes in Wage Inequality in the United Kingdom and the United States","year":2001,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kingdom; Labour economics; Inequality; Economics; Wage; Wage inequality; Demographic economics","score_opus":0.30185199566170723,"score_gpt":0.44138573352500515,"score_spread":0.13953373786329792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555420864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8586734,0.0011683619,0.0000036631732,0.008293428,0.00017115258,0.00093200064,0.0013214999,0.000007681091,0.1294288],"genre_scores_gemma":[0.97036314,0.02613417,0.00002093056,0.00029424837,0.00018883053,0.00014587565,0.0010464436,0.000032936623,0.0017734445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996493,0.0006513891,0.0013655854,0.00062421156,0.00036895284,0.00049687177],"domain_scores_gemma":[0.9955385,0.0027502414,0.0006854586,0.00048327984,0.00047734473,0.00006522548],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.042334888,0.00026432434,0.0008159301,0.0022854083,0.00014333577,0.00020310828,0.0006413356,0.0003673418,0.00022919255],"category_scores_gemma":[0.002909392,0.00018643404,0.00007518466,0.0011550899,0.0005836275,0.00014262371,0.0003182158,0.0011409261,0.000006185828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022850493,0.0000777059,0.074910425,0.00020273057,0.000075893666,0.000008975741,0.00050278375,0.000117060605,2.2702899e-7,0.9226478,0.0009834765,0.00024444045],"study_design_scores_gemma":[0.0018424016,0.00005186769,0.109860405,0.00009601561,0.000004337984,0.00001381499,0.0003552898,0.008382223,5.4783516e-7,0.81098706,0.068149775,0.00025626205],"about_ca_topic_score_codex":0.13017435,"about_ca_topic_score_gemma":0.020511916,"teacher_disagreement_score":0.12765536,"about_ca_system_score_codex":0.00095637277,"about_ca_system_score_gemma":0.00032012805,"threshold_uncertainty_score":0.9973612},"labels":[],"label_agreement":null},{"id":"W1555818698","doi":"","title":"The Macroeconomic Dynamics of Labor and Capital Market Imperfections","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Bankruptcy; Capital (architecture); Payment; Capital market imperfections; Labour economics; Matching (statistics); Production (economics); Monetary economics; Business cycle; Capital market; Macroeconomics; Finance","score_opus":0.018973964085029837,"score_gpt":0.28164835627897583,"score_spread":0.262674392193946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555818698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88043654,0.0016643034,0.000024277493,0.001118665,0.0010326223,0.0007476135,0.002219124,0.00002570027,0.112731166],"genre_scores_gemma":[0.9504513,0.04545938,0.00030758942,0.00007047279,0.00017366325,0.00013044266,0.00008875468,0.0000914162,0.0032269666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956829,0.00016998369,0.0019021636,0.001150233,0.00008605074,0.0010086703],"domain_scores_gemma":[0.9959581,0.0014102882,0.00082915573,0.0014362193,0.0001475444,0.00021869723],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008121293,0.0004141276,0.0009815057,0.00075468747,0.0003573349,0.0002996255,0.00093364465,0.00062609656,0.00015972219],"category_scores_gemma":[0.000783991,0.0004376047,0.00027090326,0.00023647702,0.0008666318,0.00013803263,0.0014854663,0.001820953,0.000011500656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028364628,0.0002737479,0.21981695,0.0004345254,0.0004410286,0.000020678843,0.00058299775,0.00096492266,0.0000066125704,0.68871975,0.0000781286,0.088377014],"study_design_scores_gemma":[0.0014387328,0.0001944659,0.2172027,0.00016399799,0.000018439378,0.000023361106,0.0015167537,0.08341541,0.000018675955,0.6675353,0.02720838,0.0012637803],"about_ca_topic_score_codex":0.0011251033,"about_ca_topic_score_gemma":0.00633272,"teacher_disagreement_score":0.1095042,"about_ca_system_score_codex":0.001449556,"about_ca_system_score_gemma":0.00027871528,"threshold_uncertainty_score":0.9998076},"labels":[],"label_agreement":null},{"id":"W1555869551","doi":"","title":"Uso repetido do seguro-desemprego no Brasil-1986-1998: teorias e evidências","year":2002,"lang":"pt","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Unemployment; Theme (computing); Welfare economics; Economics; Macroeconomics; Computer science","score_opus":0.03923366695991245,"score_gpt":0.2348613971534018,"score_spread":0.19562773019348934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555869551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5448639,0.008853738,0.0014738148,0.0034182398,0.0076580606,0.0010384972,0.0017809185,0.00030638743,0.43060645],"genre_scores_gemma":[0.8494077,0.0037119852,0.00062981714,0.0020614353,0.0011034614,0.000042926287,0.00005522555,0.00016126683,0.14282621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99329376,0.00019210328,0.002637791,0.0020540575,0.00026302345,0.0015592392],"domain_scores_gemma":[0.99505687,0.0004991792,0.0011898617,0.0024110165,0.00023633063,0.00060675864],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002624142,0.0009179499,0.0016046725,0.0005500611,0.00044792396,0.0008172558,0.0011806795,0.0008043748,0.022733562],"category_scores_gemma":[0.0011538962,0.0010491806,0.0007833288,0.0011760067,0.00021190371,0.00081387087,0.000513011,0.00089169363,0.020969471],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012338201,0.0017600085,0.32590595,0.0006370278,0.0007702342,0.00014690953,0.0016355808,0.00010780304,0.00006299607,0.6060655,0.056220382,0.0065641976],"study_design_scores_gemma":[0.004579259,0.0008966046,0.06091386,0.00037167576,0.0001639285,0.00003469088,0.00043259255,0.10377374,0.000071058814,0.06063582,0.7634089,0.00471789],"about_ca_topic_score_codex":0.0005878698,"about_ca_topic_score_gemma":0.00020625742,"teacher_disagreement_score":0.7071885,"about_ca_system_score_codex":0.0005333842,"about_ca_system_score_gemma":0.000060558275,"threshold_uncertainty_score":0.9991959},"labels":[],"label_agreement":null},{"id":"W1555901323","doi":"","title":"The Effect of Implicit Contracts on the Wages: Evidence from J apanese Labor Mar ket","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Implicit contract theory; Economics; Labor mobility; Spot market; Secondary labor market; Labour economics; Microeconomics; Labor relations","score_opus":0.0408311446792151,"score_gpt":0.29905519877463715,"score_spread":0.25822405409542204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555901323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96453756,0.0021296097,0.0000032795958,0.0026219757,0.00077396387,0.0015242242,0.0015965963,0.000025165851,0.026787635],"genre_scores_gemma":[0.91738456,0.080876835,0.00003962628,0.00016281666,0.00026419602,0.0004048441,0.000050401915,0.000080456135,0.0007362504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948289,0.0008499059,0.0017733442,0.0013336934,0.00020704283,0.0010071264],"domain_scores_gemma":[0.97969615,0.016055124,0.0010584695,0.002875087,0.00013878872,0.00017635383],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010503817,0.0005236541,0.00132264,0.00030863236,0.00042430175,0.0003040231,0.002279311,0.00058190105,0.00012591417],"category_scores_gemma":[0.0073905704,0.00037671876,0.00044037797,0.00026922455,0.00068575446,0.00013845062,0.001230017,0.0024553235,0.00006223719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051301094,0.000730281,0.65540045,0.0010376461,0.0023253004,0.0002432709,0.0033585103,0.016094469,0.00032608243,0.1239747,0.0011660988,0.19021307],"study_design_scores_gemma":[0.004696009,0.0021035688,0.58327335,0.002917828,0.00006972517,0.000018357689,0.00077663595,0.057130184,0.0015122506,0.2513207,0.092775,0.003406375],"about_ca_topic_score_codex":0.0027628234,"about_ca_topic_score_gemma":0.0006636136,"teacher_disagreement_score":0.1868067,"about_ca_system_score_codex":0.0008625209,"about_ca_system_score_gemma":0.00025848014,"threshold_uncertainty_score":0.99986845},"labels":[],"label_agreement":null},{"id":"W1555924088","doi":"10.34989/sdp-2009-2","title":"Labour Shares and the Role of Capital and Labour Market Imperfections","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Labour economics; Economics; Capital (architecture); Capital market; Phenomenon; Empirical evidence; Geography","score_opus":0.008948320523724618,"score_gpt":0.20389343564227014,"score_spread":0.1949451151185455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555924088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363165,0.036890287,0.00005770787,0.00051793474,0.0015288889,0.00051516073,0.005268024,0.000047732716,0.018857747],"genre_scores_gemma":[0.99116325,0.006192482,0.0003796698,0.00020417798,0.0002458343,0.000112152346,0.00006646533,0.000058022546,0.0015779661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969557,0.00018689771,0.0012936251,0.001041063,0.00007931697,0.000443409],"domain_scores_gemma":[0.99706674,0.00054570835,0.0010715646,0.000959324,0.00016520498,0.00019145999],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019780847,0.00049320783,0.0013839548,0.00030266048,0.00027352056,0.00038029987,0.00043035095,0.0004839159,0.0025139153],"category_scores_gemma":[0.00058586895,0.00048295702,0.00034687587,0.00019159753,0.0008032518,0.00023723283,0.001023766,0.000846463,0.000019232262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004376104,0.000067471294,0.65048915,0.00020879052,0.00032721512,0.0000058559017,0.0007339246,0.000008142271,0.000008602156,0.34767443,0.00011026181,0.00032237486],"study_design_scores_gemma":[0.0019798817,0.00005016278,0.7764529,0.00015783183,0.000082785955,0.00007945155,0.0012471856,0.001964866,0.000033277996,0.20636809,0.010662061,0.0009214929],"about_ca_topic_score_codex":0.003598121,"about_ca_topic_score_gemma":0.001252948,"teacher_disagreement_score":0.14130636,"about_ca_system_score_codex":0.00015251891,"about_ca_system_score_gemma":0.00021838422,"threshold_uncertainty_score":0.99976224},"labels":[],"label_agreement":null},{"id":"W1556717025","doi":"10.7202/029089ar","title":"Toward a More Competent Labour Force: A Training Levy Scheme for Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University; Université Laval","funders":"","keywords":"Scheme (mathematics); Training (meteorology); Productivity; Commission; Work (physics); Economics; Labour economics; Computer science; Economic growth; Engineering; Finance; Mathematics; Geography; Mechanical engineering","score_opus":0.06584500759039057,"score_gpt":0.2422292291263515,"score_spread":0.17638422153596095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556717025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95335454,0.0008754962,0.012451115,0.01912341,0.00033410956,0.0004474508,0.0018688448,0.00005220791,0.0114928195],"genre_scores_gemma":[0.9868147,0.000032714353,0.005208145,0.00051673147,0.00022384606,0.000054666994,0.00010227835,0.00002332435,0.007023622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987843,0.000010109009,0.000563555,0.00028527898,0.000051043124,0.00030568114],"domain_scores_gemma":[0.9992099,0.00015426522,0.00023482394,0.0002359269,0.00006665033,0.00009844801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038849085,0.00014046716,0.0002702252,0.000098806704,0.00021226534,0.00005316133,0.00017239666,0.00016861997,0.0002675248],"category_scores_gemma":[0.0003061474,0.00016353482,0.00008505767,0.00026589903,0.000031895983,0.00014401492,0.00003513249,0.00024034183,0.00001946225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000096888025,0.000038643404,0.02305268,0.0000060658294,0.00006898279,0.0000016403235,0.00085246284,0.001616056,0.0000038842563,0.96687794,0.0032795842,0.0041923784],"study_design_scores_gemma":[0.0011661617,0.000031975906,0.014094894,0.000027133658,0.000011803391,0.0000047142094,0.0014575527,0.046179824,0.000022170985,0.035627596,0.90091616,0.00046004125],"about_ca_topic_score_codex":0.028774885,"about_ca_topic_score_gemma":0.0339375,"teacher_disagreement_score":0.93125033,"about_ca_system_score_codex":0.00032269798,"about_ca_system_score_gemma":0.00034634676,"threshold_uncertainty_score":0.9836906},"labels":[],"label_agreement":null},{"id":"W1557008368","doi":"","title":"Comparable Worth Comes to the Private Sector: The Case of Ontario","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Private sector; Wage; Public sector; Labour economics; Employment protection legislation; Economics; Equity (law); Demographic economics; Business; Economic growth; Political science; Economy; Law","score_opus":0.05379514186261174,"score_gpt":0.2914943301606025,"score_spread":0.23769918829799075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557008368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.887265,0.00032882247,0.000011201033,0.0013390408,0.0005226081,0.0011567393,0.00070552557,0.000016382846,0.10865464],"genre_scores_gemma":[0.9916143,0.0023470921,0.00025879213,0.00031701327,0.0001480011,0.00022468594,0.000048231585,0.000059863185,0.0049820133],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962702,0.00023901499,0.0015496626,0.0010023622,0.00009037587,0.00084842124],"domain_scores_gemma":[0.99611574,0.0006857657,0.00054012163,0.0024002502,0.00008149953,0.00017660098],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005643114,0.00037164683,0.0010141846,0.00042086883,0.00032090276,0.00028044745,0.0016407598,0.00031441438,0.0008131246],"category_scores_gemma":[0.00019887922,0.0002987637,0.0003112473,0.00031282034,0.0003236775,0.00008577502,0.001340798,0.0020559444,0.0000591547],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007089397,0.0009453311,0.41924974,0.0005283452,0.001194968,0.00056751823,0.014207,0.18016347,0.0000032459639,0.30879286,0.00065941986,0.07297915],"study_design_scores_gemma":[0.0013012113,0.00021654555,0.11531427,0.0002603912,0.000027520604,0.00012385828,0.00069921423,0.024211252,0.000017248996,0.19626492,0.6601475,0.0014160951],"about_ca_topic_score_codex":0.056052785,"about_ca_topic_score_gemma":0.23501162,"teacher_disagreement_score":0.659488,"about_ca_system_score_codex":0.001842691,"about_ca_system_score_gemma":0.00058648986,"threshold_uncertainty_score":0.9999465},"labels":[],"label_agreement":null},{"id":"W1557295375","doi":"10.34989/swp-2001-7","title":"Downward Nominal-Wage Rigidity: Micro Evidence from Tobit Models","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Wage; Tobit model; Stylized fact; Econometrics; Percentage point; Notional amount; Inflation (cosmology); Unemployment; Labour economics; Macroeconomics","score_opus":0.0986919327276045,"score_gpt":0.3135038288028346,"score_spread":0.2148118960752301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557295375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88608885,0.0030242153,0.00033783697,0.00087342283,0.001410085,0.0011242176,0.003095132,0.000086406835,0.10395986],"genre_scores_gemma":[0.9329173,0.058775477,0.002887187,0.0002533037,0.0007290313,0.0003562161,0.00035152247,0.00017731873,0.0035526666],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99242294,0.00032556485,0.0025151058,0.0028896646,0.00020062858,0.001646088],"domain_scores_gemma":[0.9940923,0.001130313,0.0010203221,0.003103261,0.00019862124,0.0004552253],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006406846,0.00079374627,0.0019025167,0.0010543534,0.00026857236,0.0007326693,0.0023018748,0.001203131,0.000871339],"category_scores_gemma":[0.0011016299,0.0010097442,0.00060678483,0.00037540728,0.00042076115,0.0006152613,0.002835115,0.0032331182,0.00023718155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002007285,0.0029246958,0.38872644,0.0016241239,0.0018944427,0.0012915494,0.005661173,0.14898378,0.00049547065,0.15609325,0.0012134282,0.28908437],"study_design_scores_gemma":[0.0014222754,0.00013896359,0.025201805,0.0009803525,0.000027826749,0.00001136343,0.00028808523,0.115809485,0.000079682795,0.810972,0.0426853,0.0023829043],"about_ca_topic_score_codex":0.009438292,"about_ca_topic_score_gemma":0.0023284662,"teacher_disagreement_score":0.6548787,"about_ca_system_score_codex":0.002784294,"about_ca_system_score_gemma":0.00052098976,"threshold_uncertainty_score":0.9992353},"labels":[],"label_agreement":null},{"id":"W1558603777","doi":"10.2139/ssrn.1424388","title":"Measuring Unemployment Insurance Generosity","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generosity; Unemployment; Labour economics; Business; Actuarial science; Economics; Demographic economics; Political science; Economic growth; Law","score_opus":0.02751621509015786,"score_gpt":0.21588890374537698,"score_spread":0.1883726886552191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558603777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717719,0.0058484757,0.015124872,0.0015256769,0.00032326393,0.00008405135,0.000022871312,0.00003541585,0.005263482],"genre_scores_gemma":[0.9937419,0.004699705,0.00015012913,0.00037263602,0.00024120859,0.00000197553,0.0000029038306,0.000015243452,0.0007742912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974392,0.000031142998,0.0005615856,0.00027715086,0.00007416951,0.0016167188],"domain_scores_gemma":[0.99926496,0.00001435261,0.00032930681,0.00024759918,0.00004883629,0.000094964824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002937972,0.00015706236,0.0002943585,0.00011775423,0.0002179781,0.00009927543,0.0003221452,0.00007436304,0.00003185231],"category_scores_gemma":[0.00007167213,0.00016700168,0.00014975961,0.00020572565,0.000019477335,0.00022528283,0.000024050256,0.0009937454,0.00007319439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021500478,0.000085053354,0.08165378,0.0000021653684,0.000050954637,0.0000026441976,0.00004508006,0.000107526146,0.00005650039,0.9098016,0.000013660348,0.008159547],"study_design_scores_gemma":[0.00050463015,0.00014896048,0.082059205,0.000007635028,0.0000033931572,0.000049642887,0.000029220391,0.00025630358,0.00003368595,0.91479397,0.001889222,0.00022415856],"about_ca_topic_score_codex":0.00009240122,"about_ca_topic_score_gemma":0.00016318918,"teacher_disagreement_score":0.021970017,"about_ca_system_score_codex":0.001003783,"about_ca_system_score_gemma":0.00021571526,"threshold_uncertainty_score":0.6810131},"labels":[],"label_agreement":null},{"id":"W1558666550","doi":"10.17848/9780880992275","title":"Working Time in Comparative Perspective - Volume I: Patterns, Trends, and teh policy Implications of Earnings Inequality and Unemployment","year":2001,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Inequality; Distribution (mathematics); Perspective (graphical); Economics; Working time; Demographic economics; Labour economics; Economic growth; Finance; Mathematics; Engineering","score_opus":0.05805176366114873,"score_gpt":0.3029379708280671,"score_spread":0.2448862071669184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558666550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652356,0.00082521257,0.0012493286,0.004530899,0.00006769977,0.00031937673,0.0012181755,0.00003056778,0.026523171],"genre_scores_gemma":[0.9964295,0.00095945934,0.00039775652,0.00011498128,0.00006808166,0.000051911877,0.00013138916,0.000022282755,0.0018246601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977235,0.00008663663,0.0010270067,0.00082027545,0.000047422443,0.0002951665],"domain_scores_gemma":[0.9983927,0.00011165989,0.0008333817,0.00047385145,0.00008467847,0.00010370918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000899354,0.00030507255,0.0009912369,0.00070045306,0.00006280168,0.000098610275,0.00021667547,0.00023480659,0.00023481673],"category_scores_gemma":[0.00009475454,0.00034597583,0.000095573814,0.00043637893,0.00012508752,0.00008632815,0.00062445324,0.00045166345,0.000007339221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015983442,0.000112187365,0.7969706,0.00004137508,0.0000724864,8.194748e-7,0.0020770247,0.00007850932,0.0000024513918,0.19958909,0.000037049962,0.001002392],"study_design_scores_gemma":[0.00040090265,0.00003714575,0.8551769,0.00007153268,0.000008961177,0.0000015267016,0.00029581436,0.0036548157,0.0000018620194,0.13930883,0.0007040875,0.000337587],"about_ca_topic_score_codex":0.02050236,"about_ca_topic_score_gemma":0.0013719528,"teacher_disagreement_score":0.06028026,"about_ca_system_score_codex":0.00038604566,"about_ca_system_score_gemma":0.00005281345,"threshold_uncertainty_score":0.9998992},"labels":[],"label_agreement":null},{"id":"W1560629508","doi":"","title":"Les rendements privés de la formation selon l'âge des travailleurs au Québec et comparaison avec l'Ontario","year":2008,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Productivity; Political science; Economics; Philosophy; Economic growth","score_opus":0.033823758498498724,"score_gpt":0.2462306758268734,"score_spread":0.2124069173283747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560629508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95564187,0.0036783216,0.0035636027,0.00065484963,0.00067683886,0.00062660885,0.0034620762,0.000054162112,0.0316417],"genre_scores_gemma":[0.95652145,0.023213945,0.0023365808,0.00005641004,0.00009470785,0.0000038565017,0.0019060548,0.000045384455,0.015821617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957903,0.00054268655,0.0013661282,0.0014014323,0.00024036443,0.0006591096],"domain_scores_gemma":[0.9950545,0.0004142648,0.0023156505,0.0016930568,0.00017939835,0.00034316716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015758015,0.00064668414,0.0012913678,0.00029175018,0.001267856,0.00020233385,0.0013209439,0.00064568984,0.000147006],"category_scores_gemma":[0.00013760896,0.000863958,0.0002667383,0.00015702625,0.0010893416,0.0014108298,0.0016132708,0.00080743566,0.000014643029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000637706,0.0011153157,0.9393255,0.0009144886,0.0015650064,0.00064724433,0.012116055,0.000783794,0.000047583482,0.021791564,0.0072972514,0.013758475],"study_design_scores_gemma":[0.0023488458,0.00015155456,0.64937484,0.00045387464,0.00035245204,0.00020316089,0.0007135901,0.003106769,0.000023454564,0.0017459071,0.3406766,0.0008489496],"about_ca_topic_score_codex":0.936821,"about_ca_topic_score_gemma":0.9158429,"teacher_disagreement_score":0.33337936,"about_ca_system_score_codex":0.0056552663,"about_ca_system_score_gemma":0.0010222084,"threshold_uncertainty_score":0.9993811},"labels":[],"label_agreement":null},{"id":"W1560719288","doi":"","title":"Endogenous, State-Dependent Matching with Implications for the Cyclical Behavior of Unemployment","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Unemployment; Matching (statistics); Economics; Volatility (finance); Function (biology); Econometrics; Parametric statistics; Macroeconomics; Mathematics","score_opus":0.08046199722432296,"score_gpt":0.3165771925579205,"score_spread":0.23611519533359754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560719288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793015,0.00048627646,0.0007913105,0.0010669648,0.00029558496,0.0029217384,0.0041380846,0.000030336822,0.010968217],"genre_scores_gemma":[0.9784297,0.017515745,0.0010998159,0.00005883221,0.0000943852,0.0020940523,0.00012770637,0.00009574986,0.0004840246],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966239,0.00008796519,0.001436234,0.0010014522,0.00009956393,0.00075088616],"domain_scores_gemma":[0.996383,0.0010122021,0.00071869255,0.0015820077,0.00016043973,0.00014366888],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027188163,0.0003290598,0.00083120243,0.00036257834,0.00029003795,0.00012241608,0.0010721853,0.00027521004,0.000029053077],"category_scores_gemma":[0.00018426932,0.0002966794,0.00026622237,0.00014935703,0.00034710232,0.00007621092,0.0007526613,0.0010453049,0.000004427042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007403637,0.002481826,0.53016406,0.0007406252,0.0011364893,0.00003921559,0.0027531656,0.090138465,0.0002128091,0.25186878,0.000037060396,0.11968711],"study_design_scores_gemma":[0.0056706076,0.0009603365,0.43177432,0.0003740562,0.00011572409,0.00012123732,0.0010422344,0.015600728,0.0003848128,0.5137203,0.02727001,0.0029656275],"about_ca_topic_score_codex":0.0011379173,"about_ca_topic_score_gemma":0.0008868707,"teacher_disagreement_score":0.26185152,"about_ca_system_score_codex":0.0008726926,"about_ca_system_score_gemma":0.00034121683,"threshold_uncertainty_score":0.99994856},"labels":[],"label_agreement":null},{"id":"W1561281273","doi":"10.7202/028452ar","title":"Labour Earnings Identity","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; GDP deflator; Economics; Consistency (knowledge bases); Identity (music); Index (typography); Wage; Productivity; Labour economics; Price index; Econometrics; Mathematics; Macroeconomics; Accounting; Computer science","score_opus":0.028066038144471086,"score_gpt":0.23677530514733638,"score_spread":0.2087092670028653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561281273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9130046,0.0005653166,0.0078031877,0.0036311238,0.00019235426,0.000098042234,0.00014395457,0.00007051226,0.07449092],"genre_scores_gemma":[0.9792991,0.00010299908,0.0011155739,0.00019629698,0.00019933989,0.00000821225,0.000022353797,0.000014779034,0.019041335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999058,0.000018121344,0.00045200583,0.00023819997,0.000040877236,0.000192787],"domain_scores_gemma":[0.9993507,0.00006333342,0.00021900285,0.00026069063,0.000039712693,0.000066548375],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005982429,0.00009737184,0.0001694717,0.00014541046,0.00018947336,0.00008780597,0.00017593724,0.00018633023,0.0021913205],"category_scores_gemma":[0.000336791,0.00011673181,0.0000686349,0.00042873897,0.000038502887,0.00056020456,0.000056517936,0.0003114874,0.0019029464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015254979,0.000035808494,0.19614047,6.3994605e-7,0.000018114773,6.5952605e-7,0.0001278722,0.00042198377,0.0000017676905,0.8009643,0.0007093041,0.0015775484],"study_design_scores_gemma":[0.00033651807,0.000013183536,0.17631048,0.0000074392824,0.0000050907256,0.000002146356,0.00008192688,0.002572668,0.000013699833,0.1134854,0.7069332,0.00023823247],"about_ca_topic_score_codex":0.00023926276,"about_ca_topic_score_gemma":0.00006302968,"teacher_disagreement_score":0.7062239,"about_ca_system_score_codex":0.00010361762,"about_ca_system_score_gemma":0.00002692135,"threshold_uncertainty_score":0.9988742},"labels":[],"label_agreement":null},{"id":"W1562421475","doi":"10.2139/ssrn.221895","title":"Involuntary Unemployment and Intrafirm Bargaining with Replacement Workers","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Insider; Bargaining power; Unemployment; Labour economics; Economics; Power (physics); Business; Microeconomics; Macroeconomics; Law; Political science","score_opus":0.009918675156816145,"score_gpt":0.20158625906600747,"score_spread":0.1916675839091913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562421475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98458683,0.0038252026,0.0018993489,0.0011856145,0.000074665186,0.00011608852,0.0000119164015,0.000022350638,0.00827797],"genre_scores_gemma":[0.9879276,0.008859668,0.0002760762,0.00039101957,0.00011456686,0.000007042525,0.000008461728,0.00002678351,0.0023887763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978323,0.000031852705,0.00047040294,0.0003106063,0.00006269588,0.0012921622],"domain_scores_gemma":[0.99944854,0.00002711577,0.00019697013,0.00019749474,0.000020649928,0.00010923814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024399946,0.00016386333,0.00026438732,0.00009766775,0.0001930822,0.000101581645,0.0001537626,0.000057461417,0.00036423092],"category_scores_gemma":[0.00001536034,0.00015174029,0.000050461265,0.00016893778,0.00004985285,0.000186716,0.00002462704,0.00084007083,0.000031170443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003774135,0.00008859125,0.32669854,0.000007470287,0.00035941682,0.000009391445,0.00038702978,0.00030843852,0.0000011839614,0.64699197,0.000070209746,0.024700368],"study_design_scores_gemma":[0.0021217144,0.00097101124,0.01523525,0.000045440083,0.00002444162,0.00026480004,0.0011104898,0.0018613961,0.0000027388235,0.9603354,0.01753379,0.0004935643],"about_ca_topic_score_codex":0.00050395314,"about_ca_topic_score_gemma":0.00073626696,"teacher_disagreement_score":0.3133434,"about_ca_system_score_codex":0.0007147842,"about_ca_system_score_gemma":0.00021798225,"threshold_uncertainty_score":0.61877894},"labels":[],"label_agreement":null},{"id":"W1563888830","doi":"","title":"Stable Wage Distribution in Japan, 1982-2002: A Counter Example for SBTC?","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Economics; Technological change; Wage; Labour economics; Balance (ability); Population; Demographic economics; Macroeconomics; Sociology; Mathematics","score_opus":0.06001905535953998,"score_gpt":0.2943595341910062,"score_spread":0.2343404788314662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563888830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94152766,0.0006161462,0.00032591473,0.00041987383,0.0009396045,0.0019956324,0.011060967,0.000045922294,0.04306828],"genre_scores_gemma":[0.97413534,0.018632883,0.0004670202,0.00012685717,0.00029327732,0.0009990069,0.0019384039,0.000120415425,0.0032867754],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946459,0.00014952883,0.0019379948,0.0017203857,0.00011663444,0.0014295386],"domain_scores_gemma":[0.99698365,0.00072720257,0.00046167767,0.0014534335,0.0001608782,0.00021316508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056110434,0.0004853703,0.0012908722,0.0007131095,0.0002051434,0.0002697879,0.0009318093,0.00078771147,0.00021254539],"category_scores_gemma":[0.0009643317,0.00062565395,0.0003445311,0.00031435626,0.0002608636,0.00024636657,0.0008922512,0.0016439651,0.000045068038],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017881417,0.0033144322,0.46419677,0.0024734586,0.0007413951,0.0001753052,0.0037038915,0.06233066,0.000053569976,0.39171603,0.002561951,0.066944405],"study_design_scores_gemma":[0.0046759406,0.00029287813,0.0986762,0.00041488255,0.0000112587795,0.0000134874535,0.00048246913,0.19701421,0.000036531786,0.16387045,0.53215235,0.0023593218],"about_ca_topic_score_codex":0.0057671764,"about_ca_topic_score_gemma":0.003901504,"teacher_disagreement_score":0.5295904,"about_ca_system_score_codex":0.0032613503,"about_ca_system_score_gemma":0.00043343485,"threshold_uncertainty_score":0.9996195},"labels":[],"label_agreement":null},{"id":"W1563909755","doi":"","title":"Are Good Jobs Disappearing in Canada","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Government of Canada","funders":"","keywords":"Political science; Economic history; Public administration; Economics","score_opus":0.011281672824926217,"score_gpt":0.19543782047502922,"score_spread":0.18415614765010302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563909755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879317,0.0034945623,0.0009256477,0.002344242,0.00022922421,0.00005711158,0.000031730808,0.000006613623,0.004979146],"genre_scores_gemma":[0.9970776,0.0015348498,0.00004276053,0.0003138855,0.0002210242,0.0000028222448,0.000002296433,0.000019333109,0.000785463],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752784,0.000023009468,0.0005688299,0.00021814356,0.00005648212,0.0016057187],"domain_scores_gemma":[0.9992732,0.000026286221,0.00042695864,0.0001742503,0.000019864954,0.000079431724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016907932,0.0001250503,0.0002780582,0.00011235817,0.00008917332,0.000054425866,0.00026876637,0.000046765832,0.00007969173],"category_scores_gemma":[0.000090233305,0.0001380779,0.000066934306,0.0002003048,0.000010840882,0.00020019386,0.000038923274,0.0011832871,0.000035047316],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064792393,0.000022134232,0.58215797,0.0000025715774,0.0000253872,0.0000051514153,0.000020622467,0.00026876506,7.448243e-7,0.41448683,0.000016357717,0.0029869748],"study_design_scores_gemma":[0.00081193715,0.000026843116,0.41145483,0.000018880863,0.0000033775798,0.00006421569,0.00079222163,0.0025541692,0.0000031755615,0.57308525,0.010852562,0.00033252267],"about_ca_topic_score_codex":0.54920846,"about_ca_topic_score_gemma":0.99021316,"teacher_disagreement_score":0.44100466,"about_ca_system_score_codex":0.00567094,"about_ca_system_score_gemma":0.0013926616,"threshold_uncertainty_score":0.9981461},"labels":[],"label_agreement":null},{"id":"W1564050399","doi":"10.1111/caje.12374","title":"Student loans and the allocation of graduate jobs","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tournament; Economics; Quality (philosophy); Labour economics; Loan; Market liquidity; Matching (statistics); Student loan; Productivity; Higher education; nobody; Wage; Business; Demographic economics; Finance; Economic growth","score_opus":0.11155573495969136,"score_gpt":0.19063026376293674,"score_spread":0.07907452880324538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564050399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903582,0.0007303,0.00008223889,0.0033329532,0.001281788,0.00032245903,0.00025998408,0.000002215954,0.0036298854],"genre_scores_gemma":[0.9983299,0.00046622887,0.00013105814,0.00044861712,0.00016090999,0.0000072445405,0.0000074869736,0.00003053926,0.00041804332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978894,0.00005405455,0.0013525729,0.00028930607,0.0000023120926,0.00041232505],"domain_scores_gemma":[0.99728787,0.0002026448,0.0013491511,0.00044767692,0.00015475016,0.00055791385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388995,0.00019643064,0.00081525516,0.00042469264,0.00008657238,0.000111131005,0.00052189943,0.00011585435,0.00018757879],"category_scores_gemma":[0.00019438042,0.00019691035,0.00021234209,0.00011991248,0.00023982087,0.00030819053,0.000031321426,0.00027892162,0.000024590934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052805877,0.000008416194,0.09476131,0.00003302323,0.00014172764,0.000005768614,0.0012786975,0.00095544796,0.0000019439492,0.90234226,0.000036783404,0.00038179397],"study_design_scores_gemma":[0.0026569972,0.00023287444,0.07649125,0.000062656996,0.000034636196,0.000098268625,0.00072510896,0.0042787776,0.000020005331,0.90778005,0.0072262012,0.00039315585],"about_ca_topic_score_codex":0.12746999,"about_ca_topic_score_gemma":0.7464699,"teacher_disagreement_score":0.61899996,"about_ca_system_score_codex":0.0006352586,"about_ca_system_score_gemma":0.00046179848,"threshold_uncertainty_score":0.87834024},"labels":[],"label_agreement":null},{"id":"W1565932115","doi":"10.2139/ssrn.965863","title":"Uninsurable Individual Risk and the Cyclical Behavior of Unemployment and Vacancies","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Unemployment; Economics; Labour economics; Macroeconomics","score_opus":0.012650145237070995,"score_gpt":0.22415959047249553,"score_spread":0.21150944523542453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565932115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871108,0.008793721,0.0027128782,0.00041893564,0.00009420922,0.00012098075,0.00005715148,0.000005554696,0.0006857815],"genre_scores_gemma":[0.9864457,0.013161082,0.0000803854,0.00005362586,0.000059973783,0.0000034761035,0.0000018513458,0.000011134451,0.00018275694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983472,0.00004686488,0.0005419259,0.00016299717,0.000063529376,0.00083743467],"domain_scores_gemma":[0.9991832,0.00016674446,0.00041797053,0.00013495299,0.000032231394,0.000064913125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008913247,0.00010551473,0.00028214164,0.0000973818,0.00018477824,0.000056302433,0.00015920296,0.00006681408,0.00001299131],"category_scores_gemma":[0.00014031424,0.000080006,0.000065477514,0.00013373373,0.00019371178,0.00009540898,0.00006596722,0.0008225634,0.0000014381238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058398324,0.000033214557,0.33667624,0.0000026623231,0.00006784507,7.863198e-7,0.00015377143,0.0000019509025,0.0000027672804,0.6568213,0.0000026067328,0.0061784866],"study_design_scores_gemma":[0.0016843603,0.00013708291,0.28175604,0.0000047100193,0.000040649094,0.00007407039,0.00047812765,0.00008849868,0.000012890981,0.71454406,0.0010588493,0.0001206688],"about_ca_topic_score_codex":0.0006539273,"about_ca_topic_score_gemma":0.0008776443,"teacher_disagreement_score":0.057722762,"about_ca_system_score_codex":0.00014116723,"about_ca_system_score_gemma":0.000104131206,"threshold_uncertainty_score":0.35736746},"labels":[],"label_agreement":null},{"id":"W1566175038","doi":"10.1111/caje.12421","title":"Occupational mobility and the returns to training","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"Economic and Social Research Council","keywords":"Human capital; Government (linguistics); Training (meteorology); Labour economics; Economics; Capital (architecture); Selection (genetic algorithm); Demographic economics; Business; Psychology; Economic growth; Geography","score_opus":0.19646497933219895,"score_gpt":0.1977185383843804,"score_spread":0.001253559052181441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566175038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694626,0.00035984826,0.00028713292,0.026297415,0.0006536397,0.0002817112,0.0007184409,0.000004663631,0.0019345918],"genre_scores_gemma":[0.9924066,0.00006655714,0.00058735674,0.0062666223,0.00054866355,0.000012983483,0.000008492112,0.000030367031,0.00007236959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978579,0.00005334059,0.0011980548,0.00038771174,0.0000017781706,0.0005012082],"domain_scores_gemma":[0.9968245,0.00023395538,0.0006792117,0.00029144052,0.000110591915,0.0018602719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020100228,0.00021072873,0.0007499834,0.0002598822,0.00018282906,0.00019701003,0.00051491807,0.000118577074,0.00022429315],"category_scores_gemma":[0.001217054,0.00021817142,0.00020186153,0.00017274435,0.00021842802,0.0002957133,0.00003650825,0.00034165484,0.000025674359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016601407,0.0000037813772,0.017564328,0.000017449363,0.00008454951,0.000017504039,0.0055878484,0.0013510776,7.394968e-7,0.97439104,0.00021602295,0.0005996392],"study_design_scores_gemma":[0.0018904834,0.00024228879,0.017610464,0.000028521421,0.000021452985,0.00011019668,0.0010424112,0.008992846,0.0000043631403,0.9304151,0.0391579,0.00048400083],"about_ca_topic_score_codex":0.05853609,"about_ca_topic_score_gemma":0.781323,"teacher_disagreement_score":0.7227869,"about_ca_system_score_codex":0.00060648995,"about_ca_system_score_gemma":0.0008393418,"threshold_uncertainty_score":0.9477332},"labels":[],"label_agreement":null},{"id":"W1566336294","doi":"10.1111/j.1540-5982.2009.01534.x","title":"Directed search, unemployment and public policy","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Unemployment; Economics; Limit (mathematics); Search theory; Bargaining problem; Mathematical economics; Simple (philosophy); Microeconomics; Econometrics; Mathematical optimization; Mathematics; Statistics; Macroeconomics","score_opus":0.12303750148984882,"score_gpt":0.20144208778708694,"score_spread":0.07840458629723812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566336294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97828794,0.0009906878,0.00008890598,0.014902955,0.00061041163,0.00018970256,0.0004735919,0.0000138026635,0.004442031],"genre_scores_gemma":[0.99620265,0.000569652,0.00047800722,0.0017166169,0.0005785031,0.0000040402842,0.00001740769,0.000039746137,0.00039337392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972351,0.000048200483,0.0012985532,0.00044139082,0.0000020675325,0.0009746567],"domain_scores_gemma":[0.99624693,0.000085239044,0.00070994673,0.00043358648,0.00016177069,0.0023625486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013207193,0.00029092628,0.00080664974,0.0014396573,0.00020346302,0.00033360044,0.0005237629,0.00019833805,0.00021492587],"category_scores_gemma":[0.0004753087,0.00037399796,0.0002000687,0.0002960788,0.00015923199,0.0005667122,0.000025288608,0.00037186075,0.000023561965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019395386,0.000018887831,0.036817018,0.000012659517,0.00008402204,0.000055697234,0.00039496593,0.0002334596,0.000002504096,0.9576626,0.00012327971,0.0045755557],"study_design_scores_gemma":[0.0008417887,0.00038286913,0.024463298,0.000033806704,0.000010283712,0.00022937296,0.0001316051,0.0028588457,0.0000108006925,0.940115,0.030402536,0.00051984814],"about_ca_topic_score_codex":0.18583128,"about_ca_topic_score_gemma":0.8055027,"teacher_disagreement_score":0.61967146,"about_ca_system_score_codex":0.0021460643,"about_ca_system_score_gemma":0.001520604,"threshold_uncertainty_score":0.9998712},"labels":[],"label_agreement":null},{"id":"W1568166982","doi":"10.2139/ssrn.2534976","title":"Employment Adjustment and Part-Time Jobs: The US and the UK in the Great Recession","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Great recession; Economics; Recession; Labour economics; Part-time employment; Stock (firearms); Margin (machine learning); Working time; Dynamics (music); Work (physics); Keynesian economics; Sociology","score_opus":0.010186184954692088,"score_gpt":0.21048627423604904,"score_spread":0.20030008928135695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568166982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716163,0.013654303,0.0004701478,0.011777479,0.00017730864,0.00023977699,0.00000873989,0.000004888968,0.0020510422],"genre_scores_gemma":[0.9789102,0.019404111,0.000008582365,0.0009361264,0.00019897135,0.000017661232,0.0000018965574,0.000010338758,0.0005120945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983029,0.0002528006,0.00042342933,0.00019766153,0.000068572794,0.00075468665],"domain_scores_gemma":[0.9991791,0.0002496,0.00026091578,0.00025953524,0.000016311851,0.000034493172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009247954,0.00012848453,0.0002328759,0.00004824714,0.00031083944,0.00015450649,0.000293135,0.00005087966,0.000039334598],"category_scores_gemma":[0.000120509394,0.000061331964,0.000060671748,0.00012338282,0.00011460489,0.000081752376,0.00006558259,0.0008091025,0.000010824958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008887013,0.000027650072,0.036879107,0.0000030669946,0.00005193727,6.849727e-7,0.00047831502,0.000016276139,0.0000010356971,0.9488215,0.00008798807,0.013543604],"study_design_scores_gemma":[0.0015333258,0.00018195107,0.06579927,0.000015742196,0.000016255106,0.00009658351,0.0002783907,0.0022109435,6.2731834e-7,0.9139342,0.01580412,0.00012863899],"about_ca_topic_score_codex":0.00039321784,"about_ca_topic_score_gemma":0.0011770698,"teacher_disagreement_score":0.034887314,"about_ca_system_score_codex":0.00018866,"about_ca_system_score_gemma":0.00006179196,"threshold_uncertainty_score":0.3515193},"labels":[],"label_agreement":null},{"id":"W1568960526","doi":"","title":"Arbeitsplatzdynamik und befristete Verträge: Empirische Evidenz aus dem IAB-Betriebspanel für Baden-Württemberg (Job dynamics and fixed-term contracts: empirical evidence from the IAB establishment panel for Baden-Württemberg)","year":2005,"lang":"de","type":"article","venue":"Mitteilungen aus der Arbeitsmarkt- und Berufsforschung","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Churning; Term (time); Labour economics; Quarter (Canadian coin); Business; Order (exchange); Economics; Finance","score_opus":0.07041563990837728,"score_gpt":0.32247460922783777,"score_spread":0.2520589693194605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568960526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6633768,0.285179,0.010786421,0.020572301,0.0054009645,0.004632123,0.008460276,0.00028361945,0.0013084962],"genre_scores_gemma":[0.9466055,0.028385287,0.005994287,0.00622196,0.00439266,0.00074137864,0.0017788116,0.0006810658,0.0051990496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9830698,0.0009934125,0.006039969,0.004791953,0.0011304917,0.003974398],"domain_scores_gemma":[0.97957283,0.010835504,0.0033277716,0.0038012832,0.0007824253,0.0016801695],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0066548493,0.00292077,0.0039027757,0.00076716713,0.0021328842,0.0035698027,0.0033334105,0.0022761154,0.0005912842],"category_scores_gemma":[0.0038459639,0.0028395578,0.0015810047,0.0019199223,0.0010730391,0.0032550038,0.0017555248,0.00302576,0.0006341593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029673078,0.0021331431,0.877461,0.0019179602,0.019384261,0.0003710709,0.006177589,0.0011916109,0.00019539788,0.010867977,0.03436788,0.042964756],"study_design_scores_gemma":[0.01043729,0.0010991977,0.36535507,0.0029117777,0.009412376,0.00008971529,0.00065785623,0.23419599,0.00023012112,0.009460711,0.35928473,0.0068651317],"about_ca_topic_score_codex":0.0028344458,"about_ca_topic_score_gemma":0.01106864,"teacher_disagreement_score":0.51210594,"about_ca_system_score_codex":0.00283841,"about_ca_system_score_gemma":0.0008310836,"threshold_uncertainty_score":0.9992743},"labels":[],"label_agreement":null},{"id":"W1569092468","doi":"10.7202/800660ar","title":"L’offre de travail dans le modèle CANDIDE : un commentaire","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Supply and demand; Labour supply; Macro; Supply side; Welfare economics; Labour economics; Microeconomics; Computer science","score_opus":0.030763604143752715,"score_gpt":0.21155522742629826,"score_spread":0.18079162328254555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569092468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488938,0.00030078038,0.010352097,0.0054323226,0.00016217123,0.00022788254,0.00038140494,0.0001015154,0.034148037],"genre_scores_gemma":[0.9910579,0.00015311844,0.0011692385,0.005840515,0.0001356759,0.000027181191,0.000065091575,0.00003412856,0.001517206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980999,0.00007547454,0.00076873426,0.0005081495,0.00002040918,0.0005273346],"domain_scores_gemma":[0.99876434,0.00009270682,0.00031369124,0.00059012766,0.000024004437,0.00021512776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010640991,0.00026452437,0.00052265875,0.00011351498,0.00021144735,0.00013582547,0.00043174977,0.00020099753,0.00026781176],"category_scores_gemma":[0.000092683906,0.00031467545,0.00018759884,0.00015416251,0.000069598515,0.00029970423,0.00005365272,0.00024742287,0.00009337114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000322497,0.00021646604,0.030697681,0.000013766836,0.000055199198,0.000011466671,0.0013013391,0.00011162105,0.00017943345,0.9606757,0.00041206734,0.0062929895],"study_design_scores_gemma":[0.0012902145,0.00013147181,0.17856891,0.000015589378,0.0000095869045,0.00001542571,0.00035997553,0.004391939,0.0011516446,0.7872074,0.026210915,0.0006468878],"about_ca_topic_score_codex":0.005672856,"about_ca_topic_score_gemma":0.0007629607,"teacher_disagreement_score":0.17346828,"about_ca_system_score_codex":0.0003966396,"about_ca_system_score_gemma":0.00008375892,"threshold_uncertainty_score":0.99993056},"labels":[],"label_agreement":null},{"id":"W1569142569","doi":"","title":"Accounting for the Changing Life-Cycle Profile of Earnings","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Inequality; Productivity; Wage; Labour economics; Demographic economics; Business cycle; Macroeconomics; Accounting","score_opus":0.03790490901573183,"score_gpt":0.2950502166767836,"score_spread":0.25714530766105176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569142569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426286,0.0011530131,0.00029393117,0.0013836207,0.0008442691,0.0018576066,0.0010320371,0.000037243895,0.050769646],"genre_scores_gemma":[0.99014443,0.0051590116,0.0012865654,0.00013193072,0.0006164592,0.0005781671,0.00007514493,0.000093848146,0.0019144291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964785,0.000076773045,0.0014428778,0.0009345668,0.000092644565,0.00097466575],"domain_scores_gemma":[0.9963091,0.0013007612,0.001002979,0.0011160099,0.00015708226,0.000114092465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008569747,0.0003030912,0.0008647116,0.0007322298,0.00027861862,0.00019569635,0.0011111496,0.00042494538,0.00023019117],"category_scores_gemma":[0.0022211855,0.0003116623,0.00035742333,0.0002691782,0.00022683459,0.00014669105,0.0012628159,0.0012770506,0.000015222286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050412136,0.0007217403,0.18213598,0.0025669655,0.0011000199,0.000007691998,0.0066797202,0.10742855,0.000041740936,0.27182302,0.00014983247,0.4268406],"study_design_scores_gemma":[0.0019905788,0.0001417902,0.06062853,0.00043806946,0.000026713233,0.0000028542684,0.0020349007,0.73998934,0.00006839582,0.10046007,0.09279802,0.0014207733],"about_ca_topic_score_codex":0.00028325318,"about_ca_topic_score_gemma":0.00014647724,"teacher_disagreement_score":0.6325608,"about_ca_system_score_codex":0.00052592304,"about_ca_system_score_gemma":0.00026901017,"threshold_uncertainty_score":0.99993354},"labels":[],"label_agreement":null},{"id":"W1569857971","doi":"10.1111/j.1540-5982.2010.01585.x","title":"Training and worker effort: a signalling perspective","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Signalling; Training (meteorology); Incentive; Investment (military); Perspective (graphical); Business; Labour economics; Skills management; Industrial organization; Microeconomics; Economics; Marketing; Computer science","score_opus":0.11402329593574972,"score_gpt":0.19482647896020514,"score_spread":0.08080318302445541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569857971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873011,0.0006053438,0.00021276173,0.0018609236,0.0019436643,0.0001655221,0.00029675875,0.0000069123444,0.007607022],"genre_scores_gemma":[0.9969694,0.00011566669,0.0013765108,0.00048554176,0.0007069078,0.000007910709,0.000006074292,0.00005841916,0.00027358258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976334,0.000018536719,0.0011459461,0.00046133046,0.0000015605788,0.00073921104],"domain_scores_gemma":[0.99683297,0.0001364515,0.00092308753,0.00032624532,0.0001758822,0.0016053735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017545145,0.00028191635,0.0008104948,0.0007535614,0.0002139382,0.00026353655,0.00044002073,0.00025611647,0.00045194218],"category_scores_gemma":[0.0004565679,0.00036478162,0.00022391678,0.00014434374,0.00021789,0.0005019512,0.000024956915,0.00075438427,0.000019209081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019826912,0.000007850961,0.023953352,0.000009390069,0.00012175891,0.000065811066,0.0027756547,0.0002992647,0.000012101618,0.97091454,0.000022715683,0.001797708],"study_design_scores_gemma":[0.00061694323,0.00014301608,0.005556311,0.000037443762,0.000018360048,0.00034348937,0.0011261414,0.0028712216,0.000012461529,0.968257,0.020526512,0.00049112],"about_ca_topic_score_codex":0.10441693,"about_ca_topic_score_gemma":0.93313974,"teacher_disagreement_score":0.82872283,"about_ca_system_score_codex":0.0008514258,"about_ca_system_score_gemma":0.0008913188,"threshold_uncertainty_score":0.99988043},"labels":[],"label_agreement":null},{"id":"W1570016422","doi":"","title":"Demande de competences au Canada: le role de l'impartition a l'etranger et de la technologie de l'information et des communications","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03438306381310321,"score_gpt":0.31138456896339484,"score_spread":0.27700150515029165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570016422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.864894,0.000975762,0.0018266013,0.008194638,0.00012711967,0.0005329324,0.0009142339,0.000051157687,0.122483574],"genre_scores_gemma":[0.9287854,0.054154284,0.015405482,0.0006456495,0.000083160885,0.00036758257,0.00021906025,0.00004355073,0.0002958596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9956227,0.0010462594,0.001285488,0.0005382906,0.00010280657,0.0014044485],"domain_scores_gemma":[0.9959145,0.0017568183,0.0005864347,0.0013208262,0.00014412135,0.00027728768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013776835,0.00034575706,0.0006524845,0.00052304857,0.00059524697,0.000518844,0.0015300934,0.00081542257,0.00006722049],"category_scores_gemma":[0.0022490292,0.00047746906,0.00018609014,0.00029251672,0.0011352571,0.00059788337,0.0009058011,0.0022545848,0.000010900634],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000053399406,0.0002952799,0.39843276,0.00019694518,0.00013104112,0.000009166531,0.0029543648,0.07768686,0.000029889688,0.46903533,0.000036041543,0.05113891],"study_design_scores_gemma":[0.0007394098,0.00006148229,0.46279463,0.00027893845,0.0000137891475,0.00003892923,0.0027794167,0.22293411,0.00006642545,0.2047828,0.104879305,0.00063076435],"about_ca_topic_score_codex":0.49284196,"about_ca_topic_score_gemma":0.8334087,"teacher_disagreement_score":0.34056672,"about_ca_system_score_codex":0.013589335,"about_ca_system_score_gemma":0.011002629,"threshold_uncertainty_score":0.9997677},"labels":[],"label_agreement":null},{"id":"W1570031435","doi":"10.1108/s0147-9121(2013)0000038004","title":"Tenure, Wage Profiles and Monitoring","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wage; Economics; Labour economics; Wage growth; Demographic economics","score_opus":0.04316223322052202,"score_gpt":0.22350503285203904,"score_spread":0.18034279963151703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570031435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423629,0.0007535728,0.0005632402,0.00020637238,0.00021495331,0.00007040718,0.000039903414,0.000041409166,0.055747263],"genre_scores_gemma":[0.99401915,0.0006350778,0.0016153263,0.00006142778,0.00010047778,0.000008116912,0.0000028408224,0.000010930647,0.0035466524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935466,0.0000052748496,0.00024931107,0.00021811122,0.000017882907,0.000154739],"domain_scores_gemma":[0.9996663,0.000025913618,0.00007356348,0.00016396471,0.000015098984,0.000055181106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000230558,0.000078887955,0.00016903946,0.000059448375,0.000102972204,0.000026171241,0.00005794849,0.000048595044,0.00011046912],"category_scores_gemma":[0.000052731666,0.00007870109,0.000030923653,0.00009253283,0.000041319658,0.00012715222,0.00004491726,0.00006939615,0.00006976097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029630419,0.000020567792,0.6804577,0.000007728047,0.000010362431,0.000010192224,0.00011199345,0.0000011343435,0.000019638226,0.31881556,0.00009272096,0.0004494245],"study_design_scores_gemma":[0.00036393813,0.000030002699,0.91183835,0.0000068963013,0.0000016348106,0.00001953636,0.0000449974,0.00071985455,0.00026551503,0.07458875,0.011846652,0.00027384533],"about_ca_topic_score_codex":0.0002213217,"about_ca_topic_score_gemma":0.0000026757248,"teacher_disagreement_score":0.24422681,"about_ca_system_score_codex":0.000019358558,"about_ca_system_score_gemma":0.000005202312,"threshold_uncertainty_score":0.3209337},"labels":[],"label_agreement":null},{"id":"W1571174018","doi":"10.1016/j.worlddev.2015.05.007","title":"Quality of Higher Education and the Labor Market in Developing Countries: Evidence from an Education Reform in Senegal","year":2015,"lang":"en","type":"article","venue":"World Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Developing country; Government (linguistics); Quality (philosophy); Labour economics; Economics; Difference in differences; Scale (ratio); Exploit; Higher education; Demographic economics; Service (business); Business; Economic growth","score_opus":0.055726683470320844,"score_gpt":0.3094040158973353,"score_spread":0.25367733242701446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571174018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98222226,0.0028097886,0.00007094411,0.005441042,0.0005847623,0.00025120497,0.00002294169,0.000007624906,0.008589457],"genre_scores_gemma":[0.9903139,0.00034689327,0.0057655806,0.0012646649,0.000046746234,0.00008046961,0.000026606602,0.000009476231,0.0021456785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983797,0.00011549978,0.0009583051,0.00030718974,0.000081761485,0.0001575074],"domain_scores_gemma":[0.9990183,0.00017090594,0.00037239943,0.00026812535,0.00011050632,0.000059770446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037259303,0.00011869379,0.00033333089,0.00023075308,0.000035607412,0.00005569372,0.00018619499,0.000050392886,0.0000750214],"category_scores_gemma":[0.0001917014,0.000104118284,0.000015929807,0.0004747898,0.000058366284,0.00033898366,0.000077666344,0.00009866192,0.0000072830976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013710733,0.00008967133,0.653782,0.000035712324,0.000007738745,1.5009897e-7,0.0028327652,0.0000029649866,5.3145135e-7,0.34085202,0.00010626806,0.002153029],"study_design_scores_gemma":[0.0005539844,0.0000039051824,0.8922859,0.00013129957,9.307437e-7,1.3844928e-7,0.00033065103,0.00007907224,0.000010442431,0.06729028,0.039157927,0.00015549257],"about_ca_topic_score_codex":0.011859075,"about_ca_topic_score_gemma":0.015434144,"teacher_disagreement_score":0.27356175,"about_ca_system_score_codex":0.0010351336,"about_ca_system_score_gemma":0.00096308277,"threshold_uncertainty_score":0.99472106},"labels":[],"label_agreement":null},{"id":"W1571274114","doi":"","title":"Une analyse des déterminants de l'incidence et de l'intensité de la formation des travailleurs québécois selon l'âge et comparaison avec l'Ontario","year":2008,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Psychology; Philosophy","score_opus":0.02505774333512902,"score_gpt":0.2579101473743606,"score_spread":0.23285240403923155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571274114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753533,0.0032227335,0.010256226,0.0005692229,0.0003136429,0.0004696851,0.0024188606,0.00005254255,0.00734381],"genre_scores_gemma":[0.93378395,0.053707022,0.006633034,0.0001703747,0.00006236985,0.0000037134657,0.0008956354,0.00004423203,0.004699672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955892,0.00079988857,0.0012652724,0.0013161624,0.00021129135,0.0008181647],"domain_scores_gemma":[0.99504936,0.00058382394,0.0020471802,0.0015761202,0.00029426833,0.00044923343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025067355,0.00065885,0.0013916492,0.00034917754,0.0009273248,0.0002749149,0.0012856744,0.0006255052,0.000056116514],"category_scores_gemma":[0.0002998717,0.0008674872,0.00031029864,0.00028330853,0.0013791749,0.0017541919,0.0012419884,0.0008634143,0.0000095847345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007321554,0.00067141576,0.95471805,0.0007705136,0.0010687304,0.0022645148,0.019255482,0.0019665228,0.00017821764,0.0065681883,0.0039795474,0.007826639],"study_design_scores_gemma":[0.0018739788,0.00017090996,0.92096436,0.0007951166,0.0005244856,0.0010451811,0.0017614998,0.014585799,0.00009010883,0.006813449,0.050437175,0.00093795377],"about_ca_topic_score_codex":0.8671642,"about_ca_topic_score_gemma":0.8517551,"teacher_disagreement_score":0.05048429,"about_ca_system_score_codex":0.004288876,"about_ca_system_score_gemma":0.0010652236,"threshold_uncertainty_score":0.9995335},"labels":[],"label_agreement":null},{"id":"W1574101002","doi":"10.34989/swp-2009-4","title":"What Accounts for the U.S.-Canada Education-Premium Difference?","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Wage; Economics; Human capital; Higher education; Demographic economics; Labour economics; Political science; Economic growth","score_opus":0.02304993805691881,"score_gpt":0.2371940651164478,"score_spread":0.214144127059529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574101002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9045122,0.02848054,0.0014521084,0.004011869,0.047675412,0.001410244,0.0033260407,0.00006320121,0.00906837],"genre_scores_gemma":[0.98105335,0.0046287277,0.0006098911,0.002942237,0.0014291062,0.0009335055,0.000601985,0.00011227255,0.007688899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99584067,0.00007526884,0.0016803349,0.001514166,0.00014549495,0.0007440771],"domain_scores_gemma":[0.994769,0.0009975253,0.0014937159,0.002107225,0.0003746795,0.00025790613],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013236295,0.0007014509,0.0013019702,0.00020628271,0.00046265178,0.0014063035,0.0014887457,0.00056761695,0.0018263008],"category_scores_gemma":[0.00069633155,0.00070670247,0.0005863813,0.00021147718,0.0002306207,0.00045229867,0.0007496697,0.0009750665,0.00006011267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032756703,0.00030250743,0.87128043,0.00048753922,0.0007334445,0.000007143902,0.00050746574,0.00012753559,0.0000037715633,0.104847044,0.01767316,0.0039972016],"study_design_scores_gemma":[0.0014418329,0.0000542787,0.58346844,0.000780782,0.00018890575,0.00003924328,0.0029797303,0.005768753,0.000042147563,0.14433412,0.25757784,0.0033239676],"about_ca_topic_score_codex":0.08661031,"about_ca_topic_score_gemma":0.2311664,"teacher_disagreement_score":0.28781202,"about_ca_system_score_codex":0.0014591329,"about_ca_system_score_gemma":0.005134058,"threshold_uncertainty_score":0.99963033},"labels":[],"label_agreement":null},{"id":"W1575113804","doi":"10.1111/j.1467-9515.2011.00826.x","title":"Incomes after Job‐loss in the United States: From Programme Rules to Panel Data","year":2011,"lang":"en","type":"article","venue":"Social Policy and Administration","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Generosity; Panel Study of Income Dynamics; Unemployment; Incentive; Poverty; Welfare state; Economics; Welfare; Labour economics; Panel data; Compensation (psychology); Demographic economics; Comparative research; Job loss; Economic growth; Political science; Psychology; Sociology","score_opus":0.14136642091177773,"score_gpt":0.3110934118180181,"score_spread":0.16972699090624035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575113804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042237,0.000041432093,0.000289723,0.0049192435,0.000048941278,0.00017866075,0.0025038011,0.000012696694,0.0015831308],"genre_scores_gemma":[0.9968165,0.00005962342,0.00022762828,0.0017697087,0.00029860827,0.00003139884,0.0007531528,0.000008018216,0.000035355108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991526,0.000048946353,0.0003233237,0.00024826196,0.000033442513,0.0001934376],"domain_scores_gemma":[0.9995413,0.000047148733,0.00010508258,0.00024179762,0.000015417216,0.00004926148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006022998,0.00009432244,0.00015036309,0.0001049904,0.00009618108,0.0001078759,0.0002470258,0.00007535088,0.000023307162],"category_scores_gemma":[0.00014788972,0.00008473116,0.00002244276,0.00026905554,0.000061618885,0.00017291018,0.00007622223,0.00009236858,0.000017438912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015576319,0.00020497653,0.18440282,0.000022920238,0.00003288366,0.00001500205,0.020227382,4.2854757e-7,0.0000011028561,0.78843665,0.000091547845,0.0064084847],"study_design_scores_gemma":[0.00019749894,0.000051191197,0.6582172,0.000004195885,0.0000035954172,4.6844016e-7,0.00065486855,0.00030822007,0.0000010905623,0.32993668,0.010498919,0.00012605265],"about_ca_topic_score_codex":0.024380177,"about_ca_topic_score_gemma":0.005320739,"teacher_disagreement_score":0.47381437,"about_ca_system_score_codex":0.000028239167,"about_ca_system_score_gemma":0.000040871004,"threshold_uncertainty_score":0.9821166},"labels":[],"label_agreement":null},{"id":"W1575499479","doi":"","title":"Labor Market Cycles and Unemployment Insurance Eligibility","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generosity; Entitlement (fair division); Unemployment; Economics; Labour economics; Moral hazard; Ricardian equivalence; Baseline (sea); Productivity; Microeconomics; Incentive; Debt; Political science; Macroeconomics","score_opus":0.03367246452501678,"score_gpt":0.31093557004358147,"score_spread":0.2772631055185647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575499479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9100811,0.00096225966,0.000005607886,0.0010502886,0.00090092636,0.0008451564,0.0023696378,0.000051371502,0.08373367],"genre_scores_gemma":[0.97085077,0.02577718,0.00084921374,0.00019026607,0.00023134585,0.00026157126,0.00007523565,0.00009396125,0.0016704483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99500144,0.00022083773,0.0016599203,0.001962648,0.00012227075,0.0010328995],"domain_scores_gemma":[0.9963703,0.00063726876,0.0005940955,0.001937898,0.00013494043,0.00032545885],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007107143,0.00050806353,0.0012126903,0.00061637117,0.00020365631,0.00039049867,0.00093876524,0.00092037226,0.00033522033],"category_scores_gemma":[0.0012354099,0.0006153549,0.0002157254,0.00021828045,0.00055506243,0.00017789322,0.0018285991,0.0029435812,0.000022803586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001628127,0.0003642595,0.88001865,0.00047312377,0.0001331365,0.000026636262,0.00029517993,0.00036121678,0.000018050607,0.06581845,0.000056469642,0.052272025],"study_design_scores_gemma":[0.00084239204,0.00005992323,0.6192289,0.000120893856,0.0000039803244,0.000004726896,0.000080154736,0.009901566,0.000020631416,0.3351151,0.03375329,0.00086845364],"about_ca_topic_score_codex":0.0008462381,"about_ca_topic_score_gemma":0.0015606914,"teacher_disagreement_score":0.26929665,"about_ca_system_score_codex":0.00072111277,"about_ca_system_score_gemma":0.00024768538,"threshold_uncertainty_score":0.9996298},"labels":[],"label_agreement":null},{"id":"W1576036792","doi":"","title":"Preparing America's Workforce: Are We Looking in the Rear-View Mirror?","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Sight; Inequality; Labour economics; Politics; Economics; Phenomenon; Political science; Political economy; Economic growth; History; Law","score_opus":0.05749885698437197,"score_gpt":0.31657643813807185,"score_spread":0.2590775811536999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576036792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65524954,0.0036652721,0.000041274146,0.0022762616,0.0007156521,0.0015489898,0.00041295207,0.00005971311,0.33603033],"genre_scores_gemma":[0.95570767,0.040617943,0.0007165113,0.00029123106,0.00022691955,0.00050413026,0.00012575879,0.000117912634,0.001691909],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942657,0.00043780042,0.002075654,0.0017038677,0.00017621188,0.00134077],"domain_scores_gemma":[0.995738,0.00082862255,0.0010496082,0.0021761828,0.00007266679,0.00013486164],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007193198,0.00053374725,0.001338057,0.00089536165,0.0002222973,0.00056113105,0.0018801851,0.0006325194,0.00007935157],"category_scores_gemma":[0.00060381147,0.00055694557,0.0003770077,0.00059848506,0.00032656928,0.00019047735,0.0013884769,0.0030333297,0.000040644245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001696368,0.00082872476,0.6329934,0.001120159,0.00019118882,0.00019862298,0.002279964,0.022226116,0.0000028962465,0.06809088,0.00032311483,0.2715753],"study_design_scores_gemma":[0.0014620932,0.000099699726,0.22215687,0.0017213025,0.000014883381,0.000016722277,0.0014714979,0.047599062,0.0000036165382,0.30072853,0.42268622,0.0020395103],"about_ca_topic_score_codex":0.0033407984,"about_ca_topic_score_gemma":0.004672831,"teacher_disagreement_score":0.4223631,"about_ca_system_score_codex":0.0016102984,"about_ca_system_score_gemma":0.0001997426,"threshold_uncertainty_score":0.9996882},"labels":[],"label_agreement":null},{"id":"W1576243653","doi":"","title":"The impact of internet use on individual earnings in Latin America","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"The Internet; Earnings; Latin Americans; Matching (statistics); Business; Internet access; Demographic economics; Panel data; Developing country; Work (physics); Economics; Economic growth; Political science; Finance; Engineering; Computer science; Econometrics","score_opus":0.03049344530987629,"score_gpt":0.2549714337770933,"score_spread":0.224477988467217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576243653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982026,0.0004579526,0.00009948809,0.00020102494,0.0022488916,0.00056904496,0.0029002237,0.00005084958,0.011446532],"genre_scores_gemma":[0.9973501,0.00037058498,0.0003964136,0.00012240403,0.00019162857,0.00008087083,0.00016075974,0.00007948889,0.0012477473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959499,0.00016454772,0.0020334579,0.0010497774,0.00011947723,0.0006828434],"domain_scores_gemma":[0.9946211,0.0011315197,0.0025329825,0.0014209127,0.00009944019,0.00019406999],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021618453,0.00062310265,0.0013977537,0.0006583427,0.00011950056,0.0003691561,0.0012249114,0.00073976564,0.0010429876],"category_scores_gemma":[0.0014542155,0.0005631964,0.0007230342,0.00029516724,0.0006056552,0.0002167855,0.00081316463,0.002599525,0.00024224524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008600696,0.00020220796,0.9717337,0.000038705002,0.00028639653,0.000009592027,0.00075153593,0.00041401657,0.000004577175,0.024619775,0.0011436578,0.0007098299],"study_design_scores_gemma":[0.0006947056,0.00018740377,0.9743566,0.00013088476,0.000014030935,0.0000043952377,0.000045399363,0.0037618119,0.000010317385,0.013801945,0.0063024634,0.0006900528],"about_ca_topic_score_codex":0.009455853,"about_ca_topic_score_gemma":0.0013015139,"teacher_disagreement_score":0.015324109,"about_ca_system_score_codex":0.0005387409,"about_ca_system_score_gemma":0.00034726277,"threshold_uncertainty_score":0.9998702},"labels":[],"label_agreement":null},{"id":"W1577470842","doi":"10.1177/001979390806200106","title":"Should Workers Care about Firm Size?","year":2008,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Sorting; Estimation; Wage; Instrumental variable; Differential (mechanical device); Economics; Econometrics; Panel data; Labour economics; Demographic economics","score_opus":0.0950009641331698,"score_gpt":0.2721877952798917,"score_spread":0.17718683114672187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577470842","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38215697,0.544639,0.00006900777,0.008494609,0.000948281,0.0010431849,0.0010965503,0.00009799565,0.06145438],"genre_scores_gemma":[0.901326,0.089463696,0.00028959708,0.0013287535,0.0003190033,0.000064047075,0.00008100345,0.000028056753,0.0070998217],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985959,0.000047278154,0.00074607984,0.00033988123,0.00005370868,0.00021713396],"domain_scores_gemma":[0.9990401,0.00016531015,0.00028610005,0.00031353015,0.00007617945,0.00011875976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004657014,0.0001672713,0.0005007733,0.00006367441,0.00027238703,0.000034878733,0.00013806208,0.00020837603,0.0017022445],"category_scores_gemma":[0.00081210874,0.00016299162,0.00012157929,0.0005802034,0.00008242999,0.00017329474,0.000049322654,0.0003511512,0.00024149995],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015880163,0.00005487718,0.79635453,0.00028208643,0.000081383325,0.000016294447,0.0003228689,0.000017342512,2.7885497e-7,0.17526734,0.015693411,0.011893723],"study_design_scores_gemma":[0.0006946906,0.000033404736,0.087337814,0.0005965934,0.000032181266,0.000010149091,0.000034870933,0.000030296567,3.6116103e-7,0.004822082,0.9060977,0.0003098202],"about_ca_topic_score_codex":0.0002911869,"about_ca_topic_score_gemma":0.00002453691,"teacher_disagreement_score":0.89040434,"about_ca_system_score_codex":0.00007377316,"about_ca_system_score_gemma":0.000068435824,"threshold_uncertainty_score":0.99921036},"labels":[],"label_agreement":null},{"id":"W1580579676","doi":"10.1057/9780230118355_9","title":"Gender Equality in U.S. Labor Markets in the “Great Recession” of 2007–10","year":2011,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Unemployment; Quarter (Canadian coin); Unemployment rate; Great recession; Demographic economics; Economics; Job loss; Percentage point; Demography; Labour economics; Keynesian economics; Sociology; History; Economic growth; Finance","score_opus":0.05156975688578878,"score_gpt":0.2469521598887732,"score_spread":0.19538240300298443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580579676","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017501626,0.0025857424,0.00003312904,0.00005349712,0.00040232632,0.00063937076,0.0017578381,0.00002122821,0.97700524],"genre_scores_gemma":[0.9712155,0.00084110856,0.00011078343,0.00048295042,0.00012818298,0.000045762667,0.000115808296,0.0000905645,0.026969343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99630135,0.00015150063,0.0019679386,0.0008675158,0.00016677505,0.0005449392],"domain_scores_gemma":[0.9970316,0.00026440632,0.0011687404,0.0013303863,0.00010270619,0.00010211432],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0035532329,0.0005672553,0.0012653401,0.0005649335,0.000057373967,0.00004658503,0.00088836433,0.0006553225,0.0040613916],"category_scores_gemma":[0.00014779063,0.00049535866,0.00031354206,0.00008670483,0.0001998785,0.000008031759,0.00022603528,0.00068514637,0.00014504408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014370654,0.000011366446,0.035169378,0.00020236472,0.00007054463,0.000047138168,0.00075348763,7.9355056e-7,0.0000015572621,0.9606727,0.00008786076,0.0028391173],"study_design_scores_gemma":[0.0006303775,0.000040534323,0.0900954,0.0001259531,0.000015075239,0.000004262648,0.000019070314,0.000039878356,0.0000050657354,0.8800904,0.02837682,0.00055717374],"about_ca_topic_score_codex":0.001299679,"about_ca_topic_score_gemma":0.0010069364,"teacher_disagreement_score":0.9537139,"about_ca_system_score_codex":0.00016972188,"about_ca_system_score_gemma":0.000080124744,"threshold_uncertainty_score":0.9997498},"labels":[],"label_agreement":null},{"id":"W1580637295","doi":"10.2307/3552503","title":"What Is Happening in the Youth Labour Market in Canada?","year":2000,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Happening; Business; Labour economics; Political science; Economics; History; Art history","score_opus":0.023319212154852564,"score_gpt":0.20847285344535024,"score_spread":0.1851536412904977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580637295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8399408,0.00063621707,0.0000011216111,0.052460667,0.00019069895,0.00016106013,0.0013345837,0.0000054488573,0.105269395],"genre_scores_gemma":[0.9702123,0.0004970329,0.000008423193,0.025927402,0.00011673371,0.000016912903,0.00003167957,0.000018558403,0.003170968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99819946,0.00006484047,0.00050787395,0.00033150834,0.00005673775,0.00083956105],"domain_scores_gemma":[0.9990367,0.00005111003,0.000089089874,0.00047334918,0.00001784362,0.00033189915],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012163919,0.00015269093,0.00026760795,0.0006044542,0.00009880788,0.0004229314,0.00059935224,0.00008479688,0.0041511394],"category_scores_gemma":[0.00015495373,0.00015824576,0.000044723714,0.0012561347,0.00003097726,0.00051790813,0.00001930929,0.00026046703,0.000062751475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005403992,0.00001981877,0.4060122,0.000013776799,0.000015093292,0.00006800009,0.0029861387,0.00001382602,3.3438532e-8,0.5578929,0.005014415,0.027958369],"study_design_scores_gemma":[0.00040433626,0.0000062489844,0.5476147,0.000018702154,8.6632014e-7,0.000004897479,0.0012542924,0.0012763118,1.4023242e-7,0.04465666,0.40445423,0.00030862488],"about_ca_topic_score_codex":0.9996204,"about_ca_topic_score_gemma":0.9997928,"teacher_disagreement_score":0.5132363,"about_ca_system_score_codex":0.0022545662,"about_ca_system_score_gemma":0.0044477307,"threshold_uncertainty_score":0.9967592},"labels":[],"label_agreement":null},{"id":"W1580841871","doi":"","title":"Which Workers Gain from Computer Use","year":2012,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Wage; Labour economics; Control (management); Selection (genetic algorithm); Computer users; Economics; Business; Demographic economics; Computer science; Management; Economic growth; Computer security; Artificial intelligence","score_opus":0.049972317420517276,"score_gpt":0.2735265247382219,"score_spread":0.22355420731770465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580841871","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046525013,0.0008284692,0.00008937897,0.0003342404,0.0019968797,0.00087839755,0.0030553362,0.00007737657,0.9462149],"genre_scores_gemma":[0.23014109,0.015109163,0.0035245807,0.000618351,0.0036366435,0.00020851991,0.002295213,0.0005634276,0.74390304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948007,0.00018977626,0.0018004401,0.0015839271,0.00014827556,0.001476879],"domain_scores_gemma":[0.9953228,0.0015239042,0.00072171574,0.0018428441,0.00014986015,0.00043887357],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039788764,0.00061891944,0.0014595151,0.0009056578,0.00018966166,0.00046928905,0.0010780666,0.0011329558,0.0012231934],"category_scores_gemma":[0.0004644593,0.0007759861,0.0003513853,0.000258979,0.00027314716,0.00049723696,0.00072291645,0.0021810879,0.0005599557],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039497283,0.0008067761,0.38054538,0.00032881106,0.0013566248,0.000105795574,0.0010221434,0.0023138442,0.000002919526,0.46304992,0.010224982,0.13984784],"study_design_scores_gemma":[0.0010929765,0.000087483684,0.034145016,0.00025990437,0.000014009154,0.0000037700336,0.000045353674,0.008658316,0.0000011219959,0.13720576,0.81703043,0.0014558318],"about_ca_topic_score_codex":0.0008868278,"about_ca_topic_score_gemma":0.0018352923,"teacher_disagreement_score":0.8068055,"about_ca_system_score_codex":0.0025985562,"about_ca_system_score_gemma":0.00045716972,"threshold_uncertainty_score":0.9996898},"labels":[],"label_agreement":null},{"id":"W1581253759","doi":"10.15353/rea.v2i1.1490","title":"Labour Market Dynamics in Greek Regions: a Bayesian Markov Chain Approach Using Proportions Data","year":2010,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Markov chain Monte Carlo; Bayesian probability; Economics; Markov chain; Econometrics; Convergence (economics); Distribution (mathematics); Statistics; Mathematics; Macroeconomics","score_opus":0.042465451707805524,"score_gpt":0.28340482064256567,"score_spread":0.24093936893476015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581253759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31106633,0.091015935,0.28682327,0.007448972,0.0016960861,0.0054630027,0.09239139,0.00020368848,0.20389132],"genre_scores_gemma":[0.9138512,0.046646178,0.033309296,0.00050975365,0.00014565361,0.000079946185,0.00400617,0.00007059564,0.0013812152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99657553,0.000112674286,0.0020414165,0.0008765257,0.000047747435,0.00034612004],"domain_scores_gemma":[0.9960656,0.000108167056,0.0014863344,0.0021724934,0.000050290633,0.00011709301],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0054554436,0.00025420467,0.0014943073,0.00071485527,0.00007209681,0.0000508737,0.00096892,0.00014684889,0.0038936962],"category_scores_gemma":[0.0005725818,0.00028257785,0.00041840112,0.0012600481,0.00011224005,0.00037689132,0.00028952787,0.00032792246,0.000021334701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015396314,0.00035400776,0.33226827,0.0031429613,0.0015107393,0.000013373521,0.000032356034,0.00030865415,9.662596e-7,0.65813833,0.00091614097,0.003298808],"study_design_scores_gemma":[0.00021441172,0.000007810222,0.009204309,0.0002577277,0.00032711713,0.000011387908,0.00004743364,0.9645607,7.1131794e-8,0.01766478,0.007305354,0.00039893397],"about_ca_topic_score_codex":0.0031394637,"about_ca_topic_score_gemma":0.007340475,"teacher_disagreement_score":0.964252,"about_ca_system_score_codex":0.00033702937,"about_ca_system_score_gemma":0.00011991989,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W1581530201","doi":"","title":"Experience Rating: Insurance Versus Efficiency","year":2005,"lang":"en","type":"preprint","venue":"Summit (Simon Fraser University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unemployment; Severance; Layoff; Payment; Labour economics; Economics; Productivity; Business; Finance; Economic growth","score_opus":0.03148576072283169,"score_gpt":0.2286783236105438,"score_spread":0.19719256288771211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581530201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9205813,0.00078676874,0.0034133908,0.00028146143,0.0022562714,0.00032169244,0.0009842366,0.00014925755,0.07122563],"genre_scores_gemma":[0.9950219,0.0006980939,0.00052141177,0.0001096293,0.0002324304,0.0000042348724,0.00010134647,0.000041396866,0.0032696056],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974422,0.00006175582,0.000642678,0.0011939098,0.00011496592,0.0005445258],"domain_scores_gemma":[0.99775875,0.00012409607,0.0007132539,0.0010895585,0.00011150637,0.00020284651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042969896,0.00044225607,0.00069948274,0.00052223995,0.00024985726,0.00015455316,0.0012962149,0.00047629751,0.00045427046],"category_scores_gemma":[0.00015734202,0.00060174585,0.00032045122,0.0007089552,0.00018197516,0.0003379557,0.0009017815,0.00078409916,0.00024241961],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025321715,0.00026567277,0.8716686,0.000105109,0.00011789753,0.0001099609,0.00020416582,0.0029775049,7.0021804e-7,0.12213722,0.000880192,0.0012797762],"study_design_scores_gemma":[0.0074610487,0.00028364913,0.036555357,0.00027814074,0.00007772896,1.617146e-8,0.008355684,0.027108109,0.00017283547,0.026505718,0.8889011,0.004300608],"about_ca_topic_score_codex":0.0007422176,"about_ca_topic_score_gemma":0.0070056603,"teacher_disagreement_score":0.88802093,"about_ca_system_score_codex":0.00054190116,"about_ca_system_score_gemma":0.00010874454,"threshold_uncertainty_score":0.9996434},"labels":[],"label_agreement":null},{"id":"W1582995336","doi":"","title":"Explaining Gender Wage Differentials: Findings from a Random Effects Model","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Collar; Labour economics; Demographic economics; Blue collar; Quarter (Canadian coin); Economics; Geography","score_opus":0.06048150542061268,"score_gpt":0.2962322564547713,"score_spread":0.23575075103415863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582995336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9136766,0.00097027613,0.0011841169,0.000115092145,0.0012637397,0.0011421826,0.0012773289,0.000063544605,0.08030708],"genre_scores_gemma":[0.985602,0.009596713,0.0019230312,0.00021012289,0.00021145048,0.00051437196,0.00034352078,0.00017976944,0.001419003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937903,0.00041427728,0.0019657908,0.0022294826,0.00016840089,0.0014317],"domain_scores_gemma":[0.99560434,0.0014935739,0.0006216438,0.0018410154,0.00008857326,0.00035085852],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005227502,0.0007099174,0.0019315523,0.0009224997,0.00027400546,0.000539363,0.0012097647,0.0010535055,0.00034467666],"category_scores_gemma":[0.0016163291,0.00086564873,0.0005573001,0.00021321521,0.00022998569,0.00022276939,0.0014215272,0.0026266482,0.00006678241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020540953,0.0026543883,0.28127876,0.0027101543,0.0035578806,0.00045146985,0.010880117,0.118059926,0.0005130619,0.5179629,0.00046768898,0.05940957],"study_design_scores_gemma":[0.005171559,0.000060038285,0.018911874,0.00032004615,0.000027911305,0.0000024984656,0.00021266549,0.33029568,0.000091364695,0.6410623,0.0021209742,0.001723094],"about_ca_topic_score_codex":0.00041694834,"about_ca_topic_score_gemma":0.00017170719,"teacher_disagreement_score":0.2623669,"about_ca_system_score_codex":0.0014052658,"about_ca_system_score_gemma":0.00027787292,"threshold_uncertainty_score":0.9996743},"labels":[],"label_agreement":null},{"id":"W1583486431","doi":"","title":"Employee Training in Canada","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Receipt; Training (meteorology); Demographic economics; Payroll; Merge (version control); Literacy; Political science; Psychology; Business; Economics; Geography; Accounting; Pedagogy; Computer science","score_opus":0.05739179871756978,"score_gpt":0.2864929327839606,"score_spread":0.22910113406639082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583486431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8028591,0.00042251922,0.000004966638,0.00058524346,0.0007227467,0.000515793,0.000519644,0.000019139954,0.19435081],"genre_scores_gemma":[0.9916531,0.006439289,0.00035310868,0.00029340823,0.00019008252,0.00012937705,0.00010268306,0.00007625001,0.00076274044],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99503636,0.00018467536,0.0018696781,0.0014430835,0.00012326309,0.001342913],"domain_scores_gemma":[0.9975329,0.00042649943,0.00045801955,0.0012688303,0.0000601167,0.0002536515],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0046838997,0.0004263018,0.0012852317,0.00089291594,0.00009355468,0.00018352705,0.0011153514,0.00046542747,0.00019639227],"category_scores_gemma":[0.0007194953,0.0005738752,0.00018290147,0.0003179086,0.00010729235,0.00012613977,0.0007158169,0.0025385022,0.00001423767],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103317776,0.00012953307,0.6504994,0.00024774583,0.00011715392,0.0003110734,0.0012736224,0.025040466,0.0000024688902,0.09016013,0.00007421959,0.23204087],"study_design_scores_gemma":[0.001275954,0.000070290516,0.40603027,0.0003168073,0.0000032682049,0.00000685139,0.0010242831,0.019425806,0.0000059392814,0.5474966,0.022873875,0.0014700168],"about_ca_topic_score_codex":0.63281727,"about_ca_topic_score_gemma":0.9371683,"teacher_disagreement_score":0.4573365,"about_ca_system_score_codex":0.006907023,"about_ca_system_score_gemma":0.0035874075,"threshold_uncertainty_score":0.99976265},"labels":[],"label_agreement":null},{"id":"W1588358065","doi":"10.20381/ruor-25574","title":"Estimating the Benefit of High School for College-Bound Students","year":2010,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics education; Human capital; Instrumental variable; Estimator; Value (mathematics); Control (management); Order (exchange); Selection (genetic algorithm); Econometrics; Mathematics; Economics; Statistics; Computer science; Economic growth; Management","score_opus":0.06488855207787005,"score_gpt":0.3110686919535813,"score_spread":0.24618013987571125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588358065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98036927,0.000078741425,0.0045103063,0.0015087139,0.0005588673,0.0010772774,0.004887341,0.00001458118,0.0069949115],"genre_scores_gemma":[0.9843886,0.000086492626,0.010688519,0.000014133779,0.000110597175,0.0000062233407,0.00008771208,0.000025583235,0.004592152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812865,0.000076337514,0.0004954217,0.00057606376,0.0003006684,0.0004228305],"domain_scores_gemma":[0.99688786,0.00056167896,0.00075211294,0.0010174195,0.00064184977,0.00013909256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056475257,0.00017607253,0.00066724303,0.00047468362,0.000466822,0.0000885982,0.0022630885,0.0003783103,0.0003939295],"category_scores_gemma":[0.00088085275,0.000198858,0.0002713027,0.00036823913,0.00044240817,0.00013279011,0.001846519,0.0011507611,0.000025963247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002883827,0.00023622731,0.122049734,0.0006108324,0.00028753196,0.000006121957,0.00030947223,0.00080291764,0.000020791733,0.87409365,0.0009584938,0.0005954068],"study_design_scores_gemma":[0.001363809,0.00015798876,0.24752904,0.00013076143,0.000028917064,7.3364515e-7,0.0004584456,0.025467362,0.000023403874,0.71458167,0.009917122,0.00034076255],"about_ca_topic_score_codex":0.0035644593,"about_ca_topic_score_gemma":0.002137363,"teacher_disagreement_score":0.15951198,"about_ca_system_score_codex":0.00021128659,"about_ca_system_score_gemma":0.00018683552,"threshold_uncertainty_score":0.8109194},"labels":[],"label_agreement":null},{"id":"W1589812079","doi":"","title":"Sectoral Shift, Job Mobility and Wage Inequality","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Productivity; Wage; Economics; Labour economics; Tertiary sector of the economy; General equilibrium theory; Inequality; Economic sector; Wage inequality; Economy; Macroeconomics","score_opus":0.06977071615233305,"score_gpt":0.30440747179147054,"score_spread":0.2346367556391375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589812079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88286173,0.0006733357,0.000023794699,0.00025578978,0.00074432004,0.0008586117,0.0012178753,0.000060539987,0.113304],"genre_scores_gemma":[0.991666,0.00633469,0.00042515137,0.00012703145,0.00023831044,0.0002397192,0.000108724824,0.00010141812,0.0007589159],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941221,0.0003933403,0.0020071524,0.0021637483,0.0001149678,0.0011986984],"domain_scores_gemma":[0.99618065,0.00050153263,0.00065984076,0.0021655564,0.000099619254,0.00039281297],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009824519,0.00057632604,0.0014978428,0.00070031156,0.00020474846,0.0003304233,0.0010531091,0.00094535266,0.00048797007],"category_scores_gemma":[0.0010013946,0.0007017282,0.0003133472,0.00022966103,0.0005793421,0.00024962876,0.0025350014,0.002620574,0.000041487834],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022097093,0.00056169566,0.7022449,0.00070352876,0.0002250141,0.000046314988,0.0014414393,0.000298023,0.000005910554,0.27120537,0.000019018014,0.023027869],"study_design_scores_gemma":[0.0006848805,0.00008701225,0.46668023,0.00008273665,0.0000057738503,0.0000028125937,0.00009949135,0.0032765677,0.000008172462,0.52412426,0.0041146274,0.0008334227],"about_ca_topic_score_codex":0.0041945707,"about_ca_topic_score_gemma":0.0026692813,"teacher_disagreement_score":0.2529189,"about_ca_system_score_codex":0.0011152547,"about_ca_system_score_gemma":0.00026155854,"threshold_uncertainty_score":0.9996804},"labels":[],"label_agreement":null},{"id":"W1592410172","doi":"10.1108/ijm-03-2013-0047","title":"Occupational segregation and the gender earnings gap in China: devils in the details","year":2015,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Occupational segregation; Earnings; Wage; China; Distribution (mathematics); Demographic economics; Census; Occupational prestige; Economics; Psychology; Labour economics; Demography; Geography; Socioeconomic status; Sociology; Population","score_opus":0.052050904458168956,"score_gpt":0.28023331479307234,"score_spread":0.22818241033490338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592410172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843685,0.00057562883,0.0014869653,0.00609961,0.0005444026,0.00008558525,0.0000141959035,0.000001601986,0.0068235174],"genre_scores_gemma":[0.99877137,0.00011622216,0.0002163153,0.00069360813,0.00011876357,0.000003953616,0.000004167992,0.000005242772,0.000070340015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891514,0.000098604476,0.0006272569,0.00010044464,0.00016311795,0.00009545798],"domain_scores_gemma":[0.99906623,0.0001790975,0.00049165275,0.00008585611,0.00014797066,0.000029169069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045065708,0.00007241585,0.00016960823,0.00020886956,0.000020915015,0.000114746384,0.0003571452,0.00004154609,0.000058980557],"category_scores_gemma":[0.00069380266,0.000046301513,0.000059609225,0.0001238879,0.00006136902,0.0002978158,0.000045269317,0.0002400118,0.000010003384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026775603,0.000061617284,0.5369776,0.000002301719,0.00004051466,0.000025316138,0.0028870925,0.00044407367,8.4718073e-7,0.45853132,0.0002360395,0.00052557123],"study_design_scores_gemma":[0.0019344979,0.00001676866,0.7051787,0.000012301268,0.0000023354648,0.00004893792,0.0002063076,0.0020415534,8.150683e-7,0.28659332,0.0039058696,0.000058611007],"about_ca_topic_score_codex":0.00019454485,"about_ca_topic_score_gemma":0.00009995321,"teacher_disagreement_score":0.17193799,"about_ca_system_score_codex":0.0001057037,"about_ca_system_score_gemma":0.000045161836,"threshold_uncertainty_score":0.18881209},"labels":[],"label_agreement":null},{"id":"W1592474395","doi":"","title":"Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inflow; Recession; Outflow; Business cycle; Impulse response; Unemployment; Shock (circulatory); Economics; Impulse (physics); Econometrics; Vector autoregression; Great recession; Variation (astronomy); Demographic economics; Keynesian economics; Macroeconomics; Mechanics; Geography; Physics; Mathematics; Meteorology","score_opus":0.03719497266946643,"score_gpt":0.2587035115877731,"score_spread":0.22150853891830669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592474395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827714,0.00086884666,0.000018624874,0.0014134446,0.0003425162,0.0006514246,0.0009679263,0.000005269069,0.01296058],"genre_scores_gemma":[0.9890365,0.009951853,0.00022950234,0.00016894528,0.00010094339,0.00010109588,0.00007935236,0.000032897144,0.00029889855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970321,0.00038376634,0.0011830204,0.00079845235,0.00011949499,0.00048313927],"domain_scores_gemma":[0.99576735,0.0021945203,0.0005549649,0.0013398317,0.00007522047,0.000068089226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064995955,0.0002553358,0.0006446558,0.00019219158,0.00010483919,0.00013902334,0.0012472799,0.0003235348,0.00013688207],"category_scores_gemma":[0.0013237407,0.00021449073,0.00009694406,0.00018430024,0.00022752078,0.00012990313,0.00080182415,0.0013267465,0.0000047703397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032678052,0.00029711786,0.8658126,0.00024204167,0.00035270664,0.000044908153,0.006463583,0.014542927,0.000009984053,0.08360528,0.0001289631,0.028173119],"study_design_scores_gemma":[0.00036103593,0.000034110417,0.67084926,0.00031336173,0.000009247315,0.0000017156098,0.0003836666,0.20628928,0.0000011286652,0.12005947,0.0012994,0.00039832847],"about_ca_topic_score_codex":0.6751514,"about_ca_topic_score_gemma":0.8372232,"teacher_disagreement_score":0.19496332,"about_ca_system_score_codex":0.0011452981,"about_ca_system_score_gemma":0.00058968976,"threshold_uncertainty_score":0.8746678},"labels":[],"label_agreement":null},{"id":"W1592552734","doi":"","title":"The Measurement of Persistence and Hysteresis in Aggregate Unemployment","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Persistence (discontinuity); Unemployment; Economics; Measure (data warehouse); Hysteresis; Aggregate (composite); Econometrics; SPARK (programming language); Computer science; Macroeconomics; Engineering; Physics","score_opus":0.05626221106716367,"score_gpt":0.21660356043135034,"score_spread":0.16034134936418667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592552734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544362,0.0024395492,0.00020354397,0.0004904601,0.00009976039,0.00012376012,0.000011891895,0.0000045657825,0.042190272],"genre_scores_gemma":[0.9988699,0.0005660785,0.00018144795,0.00005429036,0.0000026883054,0.000007661285,2.1482012e-7,0.000004702176,0.0003130139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992411,0.000024178913,0.00038792202,0.00016525593,0.00004113054,0.00014039836],"domain_scores_gemma":[0.9995531,0.0000471139,0.00014109198,0.00019869488,0.000031556283,0.000028483144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018033433,0.000064393185,0.00015913966,0.0000443649,0.000046206376,0.000027174117,0.00008691008,0.000025004012,0.00003245342],"category_scores_gemma":[0.00016072998,0.00005020707,0.000035112727,0.000117396216,0.000045594552,0.00004258263,0.00002247106,0.00004130035,0.000004838891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009068949,0.000035218443,0.14343558,0.000018176639,0.000017961931,6.2588055e-7,0.00013295746,0.000010911465,0.000018519448,0.8554822,0.000013625277,0.0008251452],"study_design_scores_gemma":[0.0020891877,0.0001830324,0.29829806,0.0001026923,0.00001174127,0.0000030332708,0.0011692244,0.004778943,0.0013334547,0.63721865,0.054178957,0.000633003],"about_ca_topic_score_codex":0.00023553788,"about_ca_topic_score_gemma":0.0005066143,"teacher_disagreement_score":0.21826355,"about_ca_system_score_codex":0.00006130383,"about_ca_system_score_gemma":0.00001096184,"threshold_uncertainty_score":0.20473848},"labels":[],"label_agreement":null},{"id":"W1592850801","doi":"","title":"Evolution de la stabilite d'emploi au Canada : tendances et comparaisons avec les resultats americains","year":2002,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03982674994383119,"score_gpt":0.3038178505648749,"score_spread":0.26399110062104375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592850801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84207565,0.0015531459,0.0001667688,0.0031822547,0.0011456468,0.0007895867,0.00474054,0.00004078999,0.14630562],"genre_scores_gemma":[0.9570256,0.032949388,0.00176268,0.00020448952,0.00038586938,0.00025261825,0.00020517541,0.00013581006,0.007078369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991069,0.0018447378,0.0024781302,0.0021354924,0.00025303158,0.0022196048],"domain_scores_gemma":[0.9919123,0.004406098,0.0011535311,0.0017521014,0.00023985823,0.00053608906],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010717473,0.0007526343,0.0017036208,0.0007051554,0.00057729636,0.00041912004,0.0014452084,0.00088141696,0.00044531142],"category_scores_gemma":[0.0035135332,0.0010130251,0.0003969506,0.00059937156,0.0015579556,0.00029268433,0.0010824582,0.0036320554,0.000023741886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016788625,0.00067827787,0.6397668,0.0005344564,0.00027539665,0.0001014978,0.0026394217,0.067912325,0.000008971304,0.23897448,0.0002205192,0.048719946],"study_design_scores_gemma":[0.0008903675,0.000104519946,0.57789254,0.00032993223,0.000011191841,0.000017119863,0.0008731494,0.09103594,0.0000039110814,0.025923153,0.30190197,0.001016209],"about_ca_topic_score_codex":0.7361286,"about_ca_topic_score_gemma":0.8574018,"teacher_disagreement_score":0.30168143,"about_ca_system_score_codex":0.017233338,"about_ca_system_score_gemma":0.004200468,"threshold_uncertainty_score":0.999232},"labels":[],"label_agreement":null},{"id":"W1596034079","doi":"10.1111/j.1467-9396.2007.00674.x","title":"Trade, Wage Gaps, and Specific Human Capital Accumulation*","year":2007,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Welfare; Wage; Free trade; Profitability index; Negotiation; Human capital; Labour economics; Liberalization; Outcome (game theory); International economics; Market economy; Microeconomics","score_opus":0.04455317059773524,"score_gpt":0.29135688684753763,"score_spread":0.2468037162498024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596034079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89468074,0.067285985,0.00080081925,0.0012155065,0.00059830106,0.0002228904,0.00041608483,0.000015021912,0.034764662],"genre_scores_gemma":[0.84066486,0.15752111,0.000836085,0.0005635499,0.00015120897,0.000003324498,0.000109135945,0.000015520105,0.00013522412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846226,0.000008448989,0.0010801974,0.00027655583,0.000028536952,0.00014400897],"domain_scores_gemma":[0.99902177,0.000074981624,0.0005816609,0.00022065498,0.000037188136,0.00006374504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415844,0.00012359573,0.00038756122,0.0001356062,0.00004013837,0.00003588909,0.00022949297,0.00005792917,0.00053444615],"category_scores_gemma":[0.00007408505,0.00014415727,0.00012675431,0.000065578664,0.000054963366,0.00022212543,0.00006202306,0.000091930684,0.000033206295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005054177,0.00004033485,0.020438258,0.0002721132,0.000045069548,0.0000012117307,0.000044487548,0.0000057281295,0.000012335064,0.97611296,0.00010331438,0.0029191235],"study_design_scores_gemma":[0.0008959235,0.000057822355,0.35067868,0.00086680194,0.000013257744,0.000019083187,0.0000470813,0.00060102815,0.00007259018,0.2664815,0.3797005,0.0005657288],"about_ca_topic_score_codex":0.000048809772,"about_ca_topic_score_gemma":0.000023331055,"teacher_disagreement_score":0.7096315,"about_ca_system_score_codex":0.00012275815,"about_ca_system_score_gemma":0.000009575808,"threshold_uncertainty_score":0.5878563},"labels":[],"label_agreement":null},{"id":"W1596207177","doi":"","title":"Shocks, Stocks and Socks","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Durable good; Clothing; Welfare; Transfer payment; Labour economics; Demographic economics; Survey of Income and Program Participation; Sample (material); Permanent income hypothesis; Market liquidity; Monetary economics; Microeconomics; Economic growth","score_opus":0.0433704931276278,"score_gpt":0.2945817010955117,"score_spread":0.2512112079678839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596207177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7106728,0.0015361967,0.000037834983,0.0005351154,0.000835384,0.0007514283,0.00066327373,0.00003932613,0.28492865],"genre_scores_gemma":[0.9708851,0.022147508,0.0007160364,0.0002469791,0.00019677183,0.00022628134,0.00009562932,0.0001153177,0.005370382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546456,0.00019920849,0.0014555798,0.0016981333,0.00009752981,0.001084992],"domain_scores_gemma":[0.99727833,0.0003952383,0.0004962947,0.00143205,0.00009008493,0.00030802639],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050758803,0.0004749627,0.0011557562,0.0007592703,0.00021222468,0.00037672784,0.0007407231,0.000847779,0.0003474468],"category_scores_gemma":[0.00075180805,0.0006039416,0.00023188147,0.00019387316,0.00035430933,0.00014743887,0.0013213439,0.0023187294,0.000036398967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015928349,0.000619761,0.39637455,0.00078968046,0.00045781952,0.000099819445,0.0010406919,0.0026809776,0.000012861638,0.5040242,0.00025510212,0.093485236],"study_design_scores_gemma":[0.0016043247,0.0001424168,0.0606954,0.00019408976,0.000010612659,0.000017187145,0.0003461007,0.014241655,0.000011012059,0.8147431,0.106268674,0.0017254152],"about_ca_topic_score_codex":0.00040623514,"about_ca_topic_score_gemma":0.0003689493,"teacher_disagreement_score":0.33567914,"about_ca_system_score_codex":0.0010266663,"about_ca_system_score_gemma":0.00025837636,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W159719718","doi":"10.7202/028398ar","title":"Some Evidence of the Impact on Non-Wage Labour Cost on Overtime Work and Employment","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overtime; Labour economics; Wage; Work (physics); Economics; Hourly wage; Function (biology); Engineering","score_opus":0.042119329184297165,"score_gpt":0.2671086966299364,"score_spread":0.22498936744563924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159719718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917708,0.0007971093,0.00005697373,0.0043758038,0.00011067668,0.0002686353,0.00019111179,0.000010477279,0.0024183965],"genre_scores_gemma":[0.9969679,0.0002677203,0.000040951734,0.00021132235,0.00010175027,0.000011655604,0.0000034166665,0.000012793767,0.0023824845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991069,0.000029714985,0.00041668612,0.00022439793,0.000056657307,0.00016568492],"domain_scores_gemma":[0.9989385,0.000313407,0.00026999795,0.00039805347,0.00002439077,0.00005567258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045998563,0.00012837318,0.00020781806,0.00010306172,0.00013573698,0.000040678366,0.00016190561,0.0001498174,0.00017723227],"category_scores_gemma":[0.00027751198,0.00009786306,0.00008639513,0.00035593822,0.000058925212,0.0001705214,0.000059284775,0.00029607615,0.00007559257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007977546,0.00022840206,0.51002616,0.000003029393,0.00007569612,7.333331e-7,0.00031083883,0.015102358,0.000009195169,0.465062,0.00187835,0.0072234664],"study_design_scores_gemma":[0.00044065653,0.00012937792,0.9735255,0.00019706978,0.00000836101,5.3549786e-7,0.00002404784,0.002271935,0.0001650205,0.013188023,0.009836062,0.00021341414],"about_ca_topic_score_codex":0.00015886153,"about_ca_topic_score_gemma":0.000007753086,"teacher_disagreement_score":0.46349934,"about_ca_system_score_codex":0.00016288254,"about_ca_system_score_gemma":0.000039457595,"threshold_uncertainty_score":0.399074},"labels":[],"label_agreement":null},{"id":"W1597524582","doi":"10.7202/800755ar","title":"Champ de spécialisation et revenu","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Interpretation (philosophy); Earnings; Variance (accounting); Variable (mathematics); Field (mathematics); Association (psychology); Work (physics); Function (biology); Variables; Psychology; Demographic economics; Economics; Accounting; Statistics; Mathematics; Computer science; Engineering","score_opus":0.05325563877437201,"score_gpt":0.2573191341793479,"score_spread":0.20406349540497587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597524582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9171195,0.00016657048,0.00937452,0.008599347,0.00027625627,0.00020259125,0.00018951883,0.00009127975,0.06398041],"genre_scores_gemma":[0.9871783,0.00019335895,0.0014231186,0.009943557,0.00024592548,0.000016222111,0.000052186937,0.000020097395,0.00092717813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998612,0.00007411484,0.00060414436,0.00037230444,0.000016703827,0.0003207593],"domain_scores_gemma":[0.9990516,0.000097206306,0.0003129774,0.00039986096,0.000026511669,0.0001118485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020723795,0.0001669528,0.00035224267,0.00011987405,0.000070100024,0.00012771999,0.00024610877,0.00016288894,0.00027776274],"category_scores_gemma":[0.00032200792,0.00020112563,0.00012639555,0.00013017522,0.000025661522,0.00030985134,0.000030862655,0.00017850366,0.00018399156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017965998,0.00006497019,0.006686006,0.000008081805,0.000015142311,0.0000027907463,0.0008207867,0.000037907044,0.00006826221,0.98978496,0.00026161506,0.0022315274],"study_design_scores_gemma":[0.00033323246,0.000056494064,0.05602636,0.000009941628,0.0000018919302,0.0000040902532,0.000027091672,0.00080776284,0.00011887186,0.8837364,0.058612708,0.00026519442],"about_ca_topic_score_codex":0.0005377061,"about_ca_topic_score_gemma":0.00008372935,"teacher_disagreement_score":0.106048584,"about_ca_system_score_codex":0.00022657617,"about_ca_system_score_gemma":0.000059249578,"threshold_uncertainty_score":0.82016647},"labels":[],"label_agreement":null},{"id":"W1598155803","doi":"10.1111/j.1468-0351.2007.00317.x","title":"Male–female wage discrimination in Chinese industry <i>Investigation using firm‐level data</i><sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Wage; Productivity; Converse; Labour economics; Economics; Notice; Private sector; Gender discrimination; Efficiency wage; China; Demographic economics","score_opus":0.07802460573076245,"score_gpt":0.269770502951017,"score_spread":0.19174589722025456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598155803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97847927,0.00013011335,0.017069232,0.0003736252,0.00020331897,0.00024949617,0.00171426,0.000015819445,0.0017648746],"genre_scores_gemma":[0.9948621,0.00009230536,0.0037261387,0.00019354948,0.00013825246,0.000004178148,0.0009022708,0.000031270676,0.000049972],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978699,0.000030207337,0.0012239342,0.0005353855,0.000038269452,0.00030227104],"domain_scores_gemma":[0.9987171,0.00008909032,0.0004881947,0.000575525,0.00004025812,0.000089778245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025007906,0.00020385963,0.000433919,0.000398038,0.00006912093,0.000050628216,0.00032717953,0.00033126306,0.00011848698],"category_scores_gemma":[0.00009019787,0.00025982177,0.00008403085,0.00029111753,0.00008169313,0.0011456865,0.000059520047,0.00031342145,0.000015933878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002516262,0.00051713805,0.7331665,0.0003555204,0.00011344774,0.000018916384,0.006117251,0.08906581,0.00044512676,0.16613278,0.000036081277,0.003779822],"study_design_scores_gemma":[0.0018140827,0.000058567195,0.4081009,0.00009392036,0.000022519422,0.00001766863,0.0006707009,0.4942952,0.00027132558,0.09379926,0.00021165893,0.0006441705],"about_ca_topic_score_codex":0.00121654,"about_ca_topic_score_gemma":0.00061206985,"teacher_disagreement_score":0.4052294,"about_ca_system_score_codex":0.00023942169,"about_ca_system_score_gemma":0.000042709093,"threshold_uncertainty_score":0.9999854},"labels":[],"label_agreement":null},{"id":"W1599393475","doi":"","title":"Rebound in Industrial Activity, Unemployment Rising Further","year":2009,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Economics; Pace; Inflation (cosmology); Wage; Industrial production; Unemployment rate; Labour economics; Demographic economics; Agricultural economics; Geography; Macroeconomics","score_opus":0.04108947692320616,"score_gpt":0.24574948060755522,"score_spread":0.20466000368434906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599393475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9304112,0.00067817996,0.00020578584,0.002217087,0.0009621081,0.00043312818,0.00006551874,0.000091546106,0.06493542],"genre_scores_gemma":[0.99777985,0.0000610656,0.00031124573,0.0004029215,0.00027298124,0.000023740575,0.000026717977,0.0000439166,0.0010775826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682724,0.00006292653,0.0014039413,0.0009181061,0.00015777117,0.0006300256],"domain_scores_gemma":[0.9978772,0.00007003559,0.0009808562,0.00085555954,0.00005095746,0.00016541066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002077619,0.0003475015,0.0007608132,0.000339131,0.00011148166,0.00019914369,0.00023991504,0.00030872886,0.00023427949],"category_scores_gemma":[0.00029161578,0.00039805123,0.00019944402,0.000720822,0.000060232713,0.00045114718,0.00009825556,0.00048549887,0.00004700498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029287417,0.0014629633,0.88062745,0.00002757702,0.00016300465,0.0020608504,0.0011035438,0.0026229415,0.00026525528,0.06591568,0.0014302621,0.044027604],"study_design_scores_gemma":[0.0018591771,0.0003068376,0.5428228,0.000086381515,0.00002556811,0.000059292423,0.00008643249,0.0064087366,0.00012378837,0.35346183,0.09331453,0.00144463],"about_ca_topic_score_codex":0.0023507583,"about_ca_topic_score_gemma":0.00032964148,"teacher_disagreement_score":0.33780468,"about_ca_system_score_codex":0.00045408675,"about_ca_system_score_gemma":0.00007477519,"threshold_uncertainty_score":0.9998471},"labels":[],"label_agreement":null},{"id":"W1599658449","doi":"","title":"Producing Superstars for the Economic Mundial: The Mexican Predicament with Quality of Education","year":2009,"lang":"en","type":"book-chapter","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lagging; Human capital; Quality (philosophy); Quarter (Canadian coin); Benchmark (surveying); Political science; Development economics; Demographic economics; Geography; Economic growth; Economics; Mathematics; Statistics; Cartography; Physics","score_opus":0.07502169171642237,"score_gpt":0.3547148340594035,"score_spread":0.27969314234298115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599658449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93240225,0.0018648586,0.000046300596,0.017093098,0.00053093245,0.0021054428,0.0039418256,0.000011739483,0.04200355],"genre_scores_gemma":[0.98738545,0.007848451,0.00096457085,0.00058298383,0.00057603494,0.000048008213,0.00004098946,0.000052263596,0.0025012693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9928536,0.00008853591,0.002837652,0.0016795062,0.000279977,0.0022607534],"domain_scores_gemma":[0.9921051,0.0021716768,0.001310395,0.0015510103,0.00076846464,0.0020933398],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.018280141,0.0005460179,0.0015884745,0.0009316493,0.00077300344,0.0005392675,0.00210495,0.00032036952,0.00017161111],"category_scores_gemma":[0.0026972077,0.00040490864,0.00033140424,0.0003069801,0.0112231895,0.00078533246,0.00073383696,0.0009450985,0.000012444153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018065471,0.0001271574,0.003447153,0.00012914806,0.00007724995,2.087718e-7,0.00006555216,0.00013626694,0.000020288575,0.99374104,0.000045174234,0.002030134],"study_design_scores_gemma":[0.0011180622,0.0010864639,0.03719158,0.00021184202,0.00006685673,0.000012474944,0.00058329024,0.008026419,0.00020441684,0.9341263,0.01665637,0.00071589253],"about_ca_topic_score_codex":0.010486047,"about_ca_topic_score_gemma":0.001541731,"teacher_disagreement_score":0.05961468,"about_ca_system_score_codex":0.0019092987,"about_ca_system_score_gemma":0.007150576,"threshold_uncertainty_score":0.99984026},"labels":[],"label_agreement":null},{"id":"W1600784981","doi":"","title":"Progression de la remuneration des travailleurs peu qualifies au Canada d'apres l'EDTR (1993 a 1998)","year":2002,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remuneration; Political science; Humanities; Philosophy; Law","score_opus":0.039267276172905125,"score_gpt":0.3018161402327433,"score_spread":0.2625488640598381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600784981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87236303,0.0030416315,0.00006331336,0.0011207961,0.0014634446,0.0009486575,0.0011875432,0.000040666528,0.1197709],"genre_scores_gemma":[0.92485785,0.057708427,0.0022249576,0.00013882213,0.00065904664,0.00037536822,0.00024187495,0.00016211576,0.013631553],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99172693,0.0015073606,0.0024515768,0.0019264116,0.00028829905,0.0020994456],"domain_scores_gemma":[0.99451417,0.0022020603,0.0010234716,0.0015968815,0.00016267189,0.0005007515],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010508921,0.00076948863,0.0014526743,0.0007152513,0.0008012347,0.0006707725,0.0012881514,0.0012006256,0.00039190668],"category_scores_gemma":[0.0024601563,0.000979642,0.00037271573,0.0004293936,0.001345317,0.00037253823,0.0009181118,0.0027815115,0.00003151344],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031797474,0.0009888638,0.4914517,0.0015510459,0.00045629864,0.00025051035,0.0056254,0.02926726,0.0000716663,0.14730735,0.000481451,0.32223046],"study_design_scores_gemma":[0.0023611474,0.0003497679,0.28296465,0.0015380958,0.000036227015,0.00007246475,0.0026132653,0.19278106,0.00012208804,0.07845422,0.43601593,0.0026910547],"about_ca_topic_score_codex":0.4356887,"about_ca_topic_score_gemma":0.694781,"teacher_disagreement_score":0.4355345,"about_ca_system_score_codex":0.01068028,"about_ca_system_score_gemma":0.002692895,"threshold_uncertainty_score":0.9995191},"labels":[],"label_agreement":null},{"id":"W1600889788","doi":"","title":"Unemployment and interactions between trade and labour market institutions","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Relevance (law); Affect (linguistics); Labour economics; Empirical evidence; General equilibrium theory; Unemployment rate; International economics; Macroeconomics","score_opus":0.075821587105616,"score_gpt":0.3234273607810412,"score_spread":0.2476057736754252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600889788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8948402,0.00061918277,0.00002720977,0.002047114,0.000430451,0.000605899,0.0019726476,0.000035917936,0.09942141],"genre_scores_gemma":[0.9437175,0.053383306,0.00053891796,0.0001101412,0.000215177,0.00015068178,0.000099864665,0.000051183426,0.0017332566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688184,0.0001439484,0.0011263154,0.0011376854,0.00006977825,0.0006404132],"domain_scores_gemma":[0.99806315,0.00050209195,0.00034357046,0.00077179825,0.00003768777,0.00028168876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020147988,0.00034503572,0.0008593592,0.00075165473,0.00031681513,0.00024578316,0.0003867158,0.000383564,0.00011282895],"category_scores_gemma":[0.0004096558,0.00043282105,0.00012611748,0.0001757029,0.0004888175,0.00020184513,0.0010840124,0.0016496821,0.0000071586865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008693213,0.00036963282,0.6860423,0.0005508286,0.0003804094,0.00006186661,0.0010884088,0.0009196145,0.0000049011032,0.23500384,0.00020648337,0.075284794],"study_design_scores_gemma":[0.0011533697,0.000089424764,0.61865395,0.0002024625,0.0000138000305,0.000030630596,0.00024043105,0.0066429432,0.000004639255,0.12835823,0.24362834,0.0009817877],"about_ca_topic_score_codex":0.00058872113,"about_ca_topic_score_gemma":0.00052093045,"teacher_disagreement_score":0.24342185,"about_ca_system_score_codex":0.000751778,"about_ca_system_score_gemma":0.00022276315,"threshold_uncertainty_score":0.99981236},"labels":[],"label_agreement":null},{"id":"W1601580889","doi":"","title":"International Unemployment Rates: How Comparable Are They?","year":2000,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; International comparisons; Economics; Unemployment rate; Demographic economics; Structural unemployment; Labour economics; Economic growth","score_opus":0.037190958323011544,"score_gpt":0.26107123942003896,"score_spread":0.2238802810970274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601580889","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25429127,0.3670627,0.00009934708,0.07286417,0.0014781634,0.0014718123,0.004245449,0.00021322299,0.29827386],"genre_scores_gemma":[0.717307,0.25711215,0.0005270412,0.008356433,0.00023575943,0.00016425562,0.00021663912,0.000055738798,0.01602502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998597,0.000045193872,0.0005982631,0.00041409145,0.00007250939,0.00027293395],"domain_scores_gemma":[0.99896944,0.000036516,0.0003332032,0.0004965037,0.00007101765,0.00009330472],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007833443,0.00019815327,0.0006150216,0.000053902782,0.00007689133,0.0001267419,0.0004276278,0.00005530415,0.005162644],"category_scores_gemma":[0.00009137934,0.00019088465,0.00015837832,0.0002305085,0.000026706144,0.00022029036,0.000043734595,0.00014097468,0.0008128024],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008530088,0.0010645321,0.2536006,0.0028361822,0.0006111572,0.000089567344,0.00031516713,0.0006218235,0.000004752249,0.62116826,0.059967574,0.05963506],"study_design_scores_gemma":[0.00030882467,0.000018312681,0.014650255,0.0005527645,0.000011064999,0.0000010143303,0.0000070553847,0.0011561172,0.0000022339793,0.011869453,0.9711618,0.00026114978],"about_ca_topic_score_codex":0.00020235176,"about_ca_topic_score_gemma":0.00007554881,"teacher_disagreement_score":0.9111942,"about_ca_system_score_codex":0.00011294631,"about_ca_system_score_gemma":0.00001262189,"threshold_uncertainty_score":0.9999652},"labels":[],"label_agreement":null},{"id":"W1601747597","doi":"","title":"Explaining the Increase in On-the-job Search","year":2005,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Current Population Survey; Demographic economics; Panel Study of Income Dynamics; Economics; Wage; National Longitudinal Surveys; Population; Survey data collection; Labour economics; Longitudinal data; Wage dispersion; Term (time); Panel data; Econometrics; Demography; Efficiency wage; Statistics; Mathematics","score_opus":0.15663943380531914,"score_gpt":0.3622316611220591,"score_spread":0.20559222731673998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601747597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8407726,0.003823596,0.00001572892,0.093002155,0.00007841503,0.00035687315,0.00004724393,0.000022518829,0.061880816],"genre_scores_gemma":[0.9908666,0.0036806941,0.000036311558,0.0017711903,0.00028169446,0.00012494162,0.000002546098,0.000021430753,0.0032145928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973198,0.00037149037,0.0006439057,0.00051106844,0.00028592627,0.000867788],"domain_scores_gemma":[0.9960726,0.0029023485,0.00005649076,0.0006694336,0.00018208235,0.000117063704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056175,0.0001890401,0.00045099584,0.0001998063,0.0007727393,0.00019974957,0.00062946166,0.00007744562,0.00055090507],"category_scores_gemma":[0.0039725355,0.00011823041,0.00012116657,0.0010872104,0.0009077306,0.00033079204,0.0004907569,0.00091661786,0.00051401334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011572785,0.000086208136,0.030112417,0.000022731683,0.00013709502,0.000013988396,0.0014800745,0.000072911214,0.000004335135,0.9634463,0.0024936749,0.0020144873],"study_design_scores_gemma":[0.0011729059,0.0004138518,0.26010805,0.00012863998,0.000010367263,0.000006621312,0.008246792,0.0049465834,0.000048138278,0.3711472,0.353087,0.000683866],"about_ca_topic_score_codex":0.0007232787,"about_ca_topic_score_gemma":0.002649041,"teacher_disagreement_score":0.59229916,"about_ca_system_score_codex":0.00024438085,"about_ca_system_score_gemma":0.000042695956,"threshold_uncertainty_score":0.6606773},"labels":[],"label_agreement":null},{"id":"W1602109170","doi":"","title":"Comment expliquer l'augmentation de la recherche d'emploi en cours d'emploi","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.1498847197625833,"score_gpt":0.3881896790746965,"score_spread":0.23830495931211318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602109170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84308845,0.001447648,0.00061396364,0.020479348,0.001307459,0.0016509085,0.0011570494,0.000083011095,0.1301722],"genre_scores_gemma":[0.77745503,0.17352411,0.028257834,0.002308285,0.0011542236,0.0010961195,0.0005404886,0.00036910246,0.0152948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98824996,0.0046573007,0.0027175476,0.002137607,0.00022670561,0.0020108928],"domain_scores_gemma":[0.98755985,0.008847283,0.0010211683,0.0018794781,0.00019018786,0.0005020045],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0397731,0.0008109879,0.0015418197,0.0009731626,0.0003217543,0.00065894297,0.0016320274,0.0026422301,0.0009560271],"category_scores_gemma":[0.0035598893,0.0011371784,0.0005471747,0.0004316899,0.0007216561,0.00041327736,0.0014851849,0.0061093946,0.00014672904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004547302,0.0019944026,0.25103548,0.00056486536,0.00069605006,0.00009352121,0.0056967554,0.022836963,0.00007995112,0.40687367,0.00058310654,0.3090905],"study_design_scores_gemma":[0.003234988,0.00029698559,0.12780683,0.00063929515,0.00004116825,0.000031129195,0.0027355,0.04781214,0.00016971039,0.27166706,0.54342574,0.0021394494],"about_ca_topic_score_codex":0.0015819289,"about_ca_topic_score_gemma":0.0010410919,"teacher_disagreement_score":0.5428426,"about_ca_system_score_codex":0.01571575,"about_ca_system_score_gemma":0.0011063417,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W1607635129","doi":"","title":"Relative Wage Patterns Among the Highly Educated in a Knowledge-based Economy","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Wage; Economics; Labour economics; Work (physics); Knowledge economy; Field (mathematics); Economy; Engineering","score_opus":0.035828834132970326,"score_gpt":0.2929708586884691,"score_spread":0.2571420245554988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607635129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8322082,0.00053481915,0.00007238155,0.0013118937,0.00082457357,0.0014735395,0.00059618143,0.000043664888,0.16293472],"genre_scores_gemma":[0.99413604,0.0022475396,0.000119936056,0.00016301552,0.00023985414,0.0008073724,0.00023859534,0.00013649961,0.0019111809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940107,0.00045659646,0.0022077279,0.0018915202,0.00008226523,0.0013511756],"domain_scores_gemma":[0.99555975,0.0011381705,0.00087034586,0.0020421979,0.00013523383,0.00025429743],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0065858513,0.000639794,0.0013245117,0.0014308566,0.0002303615,0.00044335533,0.0016942708,0.00088060414,0.00024115374],"category_scores_gemma":[0.0007421256,0.0006674148,0.00043378677,0.0005053754,0.0005524675,0.00031166943,0.0012266531,0.0037808109,0.00009469003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014315765,0.0010846383,0.69083256,0.00047522993,0.00026363585,0.000076480246,0.0022944664,0.03654437,0.0000013498538,0.2585021,0.000019011686,0.009763007],"study_design_scores_gemma":[0.0031152484,0.00014194315,0.51767373,0.00086123083,0.000013834078,0.0000030119859,0.0006778527,0.06296205,0.00002595241,0.3997614,0.012996183,0.0017675476],"about_ca_topic_score_codex":0.003695406,"about_ca_topic_score_gemma":0.007438573,"teacher_disagreement_score":0.17315884,"about_ca_system_score_codex":0.0046610236,"about_ca_system_score_gemma":0.0012147541,"threshold_uncertainty_score":0.9995777},"labels":[],"label_agreement":null},{"id":"W1628718677","doi":"10.3386/w15790","title":"How Much Is Employment Increased by Cutting Labor Costs? Estimating the Elasticity of Job Creation","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Labour economics; Job creation; Elasticity (physics); Economics; Business","score_opus":0.1856599595787936,"score_gpt":0.43622682919170414,"score_spread":0.2505668696129105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1628718677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6144391,0.002115974,0.00065296504,0.0074485196,0.0016865842,0.0016879649,0.013025943,0.00003331381,0.35890967],"genre_scores_gemma":[0.99177706,0.0005895656,0.0011130252,0.00006377062,0.0006943634,0.00012341465,0.00084826094,0.000066408655,0.0047241123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99614805,0.00017182562,0.0017378498,0.00075906655,0.00069373293,0.0004894647],"domain_scores_gemma":[0.9928111,0.0021685346,0.002076469,0.0006431317,0.0021779346,0.00012285722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013881013,0.00030831055,0.0009388498,0.0006354372,0.00027533082,0.0002490268,0.00086860376,0.0005651593,0.00052846404],"category_scores_gemma":[0.0074683586,0.00029580784,0.00026811328,0.0003463067,0.00039452894,0.00026279915,0.00028909088,0.0012198128,0.000035921217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079357975,0.0002709498,0.078742355,0.0005095301,0.0005845863,0.0000015248587,0.00020349922,0.00012859037,0.00031427378,0.88177025,0.035006944,0.002388142],"study_design_scores_gemma":[0.0013096719,0.00021448439,0.022203008,0.00032329824,0.00004721682,0.000010268564,0.0001653832,0.04055575,0.0010853511,0.88803047,0.04523115,0.0008239696],"about_ca_topic_score_codex":0.016580913,"about_ca_topic_score_gemma":0.00044438613,"teacher_disagreement_score":0.377338,"about_ca_system_score_codex":0.0019004572,"about_ca_system_score_gemma":0.001373065,"threshold_uncertainty_score":0.9999494},"labels":[],"label_agreement":null},{"id":"W1633981439","doi":"10.3386/w20068","title":"Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Econometrics; Economics; Dynamics (music); Accounting; Psychology","score_opus":0.3955056312905322,"score_gpt":0.4306451251219762,"score_spread":0.035139493831444046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1633981439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90045416,0.0037393654,0.0040812897,0.0013868,0.00092965446,0.0009072458,0.0007226536,0.000023032586,0.087755784],"genre_scores_gemma":[0.9978362,0.00097047485,0.00031314464,0.000010047297,0.00029028702,0.000027157663,0.00014594731,0.00004127584,0.00036548093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99714154,0.00015934548,0.001309055,0.00062833895,0.0003670287,0.00039468636],"domain_scores_gemma":[0.9967915,0.0014115396,0.00096708396,0.00032478635,0.00042380716,0.000081274426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017991299,0.00022934724,0.00078361586,0.00085897953,0.0003285106,0.00015202793,0.00038018523,0.0002906005,0.00005665537],"category_scores_gemma":[0.0011493308,0.00022959794,0.00015535255,0.0001863969,0.000498288,0.00018675544,0.0003156998,0.0006728713,0.0000032023213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003204038,0.000037781872,0.07194502,0.0015223654,0.0002704327,0.0000011791689,0.0013632828,0.0012866663,0.000023470307,0.9226227,0.00012110818,0.0007739836],"study_design_scores_gemma":[0.0004311362,0.000058672667,0.015473182,0.00032992524,0.000019682831,0.000011716771,0.00079467247,0.1555706,0.000007983616,0.8267541,0.00025481323,0.00029350142],"about_ca_topic_score_codex":0.0017200304,"about_ca_topic_score_gemma":0.00072724913,"teacher_disagreement_score":0.15428393,"about_ca_system_score_codex":0.001669541,"about_ca_system_score_gemma":0.00034630595,"threshold_uncertainty_score":0.9362732},"labels":[],"label_agreement":null},{"id":"W1651552042","doi":"10.2139/ssrn.251529","title":"Gender Wage Differentials in a Competitive Labor Market: The Household Interaction Effect","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Labour economics; Economics; Wage","score_opus":0.014584867547954074,"score_gpt":0.22327007168937393,"score_spread":0.20868520414141986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651552042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97590667,0.001989528,0.00042572853,0.00066505844,0.00031378798,0.00020240144,0.000070460366,0.000018713865,0.02040763],"genre_scores_gemma":[0.99110734,0.006307879,0.000007710396,0.00023977712,0.00019866224,0.000015826576,0.000006389505,0.00002964844,0.0020867405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975756,0.00022298009,0.0005986283,0.000276758,0.00006528878,0.0012607684],"domain_scores_gemma":[0.9992408,0.00018477952,0.00026244242,0.00024080262,0.000020038231,0.00005111544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040224944,0.00018787237,0.00035689064,0.00015090348,0.00016217625,0.00014213228,0.00030814353,0.00008833899,0.0012720438],"category_scores_gemma":[0.00007918682,0.00014698916,0.00016164419,0.00026455824,0.000039850434,0.00022920284,0.000028836825,0.0015265313,0.000084693806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032990516,0.00016381574,0.11177765,0.000012397341,0.00023485182,0.000010239118,0.00034396406,0.0001008747,0.000019574956,0.87347585,0.00006636359,0.013464501],"study_design_scores_gemma":[0.0020174542,0.00027880093,0.3065649,0.00003472048,0.000022849426,0.00012699008,0.00042381225,0.0014947454,0.000016525108,0.677193,0.011406295,0.00041990442],"about_ca_topic_score_codex":0.00030496987,"about_ca_topic_score_gemma":0.0011535609,"teacher_disagreement_score":0.19628286,"about_ca_system_score_codex":0.0007976718,"about_ca_system_score_gemma":0.00012823389,"threshold_uncertainty_score":0.99964094},"labels":[],"label_agreement":null},{"id":"W1681941149","doi":"","title":"Behind the North-South divide: A decomposition analysis","year":2011,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Quarter (Canadian coin); Differential (mechanical device); Panel survey; Wage inequality; Labour economics; Demographic economics; Human capital; Inequality; Geography; Economic growth","score_opus":0.03503252542660802,"score_gpt":0.19926400173443937,"score_spread":0.16423147630783136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1681941149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434575,0.0002831245,0.007662652,0.00039379904,0.00009465266,0.00024274466,0.0018110081,0.00004426346,0.046010297],"genre_scores_gemma":[0.99525106,0.00033098029,0.0026928543,0.0001289666,0.000031114792,0.0000010822544,0.00019136848,0.000022155447,0.0013503935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817765,0.00017933705,0.0005028283,0.0005911641,0.00014132475,0.00040767933],"domain_scores_gemma":[0.9979253,0.00018144597,0.0006018072,0.0010077056,0.000107014355,0.00017676782],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081497256,0.00025897782,0.00060834014,0.00045074482,0.00053881214,0.000031633048,0.0011787516,0.000106599706,0.0011365557],"category_scores_gemma":[0.00009124965,0.00027611325,0.0006501227,0.0006241245,0.0004921749,0.00024089882,0.0005232466,0.00039434657,0.000073764386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004923049,0.00055641105,0.82620937,0.00006602849,0.0025419078,0.0000857461,0.07936939,0.00014030229,0.0000264966,0.08810258,0.00026512326,0.0021443234],"study_design_scores_gemma":[0.00082318333,0.00014428514,0.9511277,0.000023173196,0.00038043474,0.0000052210603,0.0032311613,0.0110514425,0.000005692063,0.024552908,0.008174049,0.00048075122],"about_ca_topic_score_codex":0.008677774,"about_ca_topic_score_gemma":0.011961385,"teacher_disagreement_score":0.12491831,"about_ca_system_score_codex":0.00011946971,"about_ca_system_score_gemma":0.00005037352,"threshold_uncertainty_score":0.9999691},"labels":[],"label_agreement":null},{"id":"W1686228416","doi":"10.7202/601398ar","title":"La demande d’éducation des jeunes québécois","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Psychology; Sociology; Art","score_opus":0.04528878390756081,"score_gpt":0.2529917271230798,"score_spread":0.20770294321551902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1686228416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9293694,0.014810004,0.0036369988,0.012401847,0.0018094509,0.00033085578,0.0005419584,0.0000907002,0.03700877],"genre_scores_gemma":[0.9726964,0.0077355253,0.0019747321,0.0030384785,0.000593128,0.000031852924,0.00009663062,0.00005507826,0.013778173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967999,0.00027355785,0.0013384946,0.00082133175,0.00003140151,0.0007352996],"domain_scores_gemma":[0.99766487,0.0005176635,0.00069352787,0.00076939457,0.00010307039,0.0002514934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023661924,0.00045283578,0.00082205544,0.0002522668,0.00022957048,0.0003714315,0.0004632667,0.00064351683,0.00090857403],"category_scores_gemma":[0.0006689582,0.0005932731,0.00034055553,0.00032882602,0.0002948407,0.00083976716,0.00007293081,0.00046445412,0.00045585036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037580485,0.00043479347,0.029696608,0.00013709614,0.00010201599,0.000009662861,0.0051763495,0.000091758586,0.000013810092,0.86595166,0.0006018053,0.09774686],"study_design_scores_gemma":[0.0005152914,0.00013579434,0.11417015,0.000109579014,0.00002592278,0.000025934754,0.0005514122,0.0013490487,0.000066940986,0.6056949,0.27673382,0.0006212081],"about_ca_topic_score_codex":0.013506554,"about_ca_topic_score_gemma":0.0061289035,"teacher_disagreement_score":0.27613202,"about_ca_system_score_codex":0.0009296166,"about_ca_system_score_gemma":0.00021448458,"threshold_uncertainty_score":0.99965185},"labels":[],"label_agreement":null},{"id":"W1692716886","doi":"10.1002/9781118785317.weom050159","title":"Changing Labor Markets Including Job Mobility","year":2015,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Labor mobility; Job creation; Economics; Business; Geography","score_opus":0.02146275815940464,"score_gpt":0.23836425047295864,"score_spread":0.216901492313554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1692716886","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018063214,0.0054014414,0.0005018999,0.0001001084,0.0015946353,0.0007406198,0.0016913833,0.00014040299,0.98802316],"genre_scores_gemma":[0.009883609,0.018919209,0.002630671,0.0002120448,0.00059033296,0.0001366958,0.00023819089,0.00048675883,0.9669025],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753964,0.000051854888,0.00095722,0.0007694461,0.0001582673,0.00052354665],"domain_scores_gemma":[0.9978112,0.000038879774,0.00096037035,0.000997988,0.000051541367,0.0001399934],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021886239,0.00040758593,0.00090702425,0.0009075937,0.000050265244,0.000035822282,0.00059752475,0.00026558543,0.002718402],"category_scores_gemma":[0.00011695554,0.00047015486,0.00015949183,0.0006257249,0.00007384442,0.000087192566,0.0006758232,0.00020926747,0.0002856736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049614355,0.0003957911,0.015914766,0.0023545863,0.00077013357,0.000055687487,0.0004999018,0.000014316074,1.8089145e-7,0.22122686,0.747482,0.011236173],"study_design_scores_gemma":[0.00048904034,0.000023333987,0.003538746,0.00029648346,0.000037818914,4.1207232e-7,0.000094262934,0.000112139736,2.5640304e-7,0.023640579,0.97126275,0.0005041783],"about_ca_topic_score_codex":0.00031427332,"about_ca_topic_score_gemma":0.0001064327,"teacher_disagreement_score":0.22378075,"about_ca_system_score_codex":0.00020348714,"about_ca_system_score_gemma":0.000027098313,"threshold_uncertainty_score":0.999775},"labels":[],"label_agreement":null},{"id":"W1701799080","doi":"10.3406/ecop.2006.7568","title":"La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ? L'exemple canadien","year":2006,"lang":"en","type":"article","venue":"Économie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Wage; Probit; Welfare economics; Probit model; Economics; Sociology; Humanities; Political science; Labour economics; Econometrics; Art","score_opus":0.010808907381106575,"score_gpt":0.2286022271157023,"score_spread":0.21779331973459573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1701799080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569094,0.00018567992,0.012532506,0.0016066115,0.00031966675,0.00036191975,0.00012220597,0.000080429214,0.02788156],"genre_scores_gemma":[0.995811,0.00016859012,0.0017159162,0.00014157635,0.0001834017,0.000046302328,0.00019881652,0.000037440852,0.0016969987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981791,0.00029484415,0.0007136691,0.00042289586,0.000046172532,0.0003433397],"domain_scores_gemma":[0.9984314,0.00061761274,0.0004289481,0.00038603827,0.00003758616,0.000098413206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002742764,0.00019835608,0.0003312909,0.00018048537,0.0002591894,0.00016934234,0.00021282771,0.000281375,0.00019414582],"category_scores_gemma":[0.00030587628,0.00022163916,0.00011263051,0.00015380715,0.000042320986,0.00064611516,0.00012098481,0.00025707934,0.00009985959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012235422,0.0005142623,0.14890859,0.00014017159,0.00003838143,0.000015612823,0.0030248247,0.0028625124,0.0005469577,0.83166903,0.006828834,0.0053284476],"study_design_scores_gemma":[0.0031053128,0.000104015715,0.2970588,0.00013834985,0.00002117015,0.000016196027,0.0006489855,0.0815436,0.0008746653,0.47830808,0.13731888,0.00086194056],"about_ca_topic_score_codex":0.019043235,"about_ca_topic_score_gemma":0.0020544562,"teacher_disagreement_score":0.35336098,"about_ca_system_score_codex":0.0006933225,"about_ca_system_score_gemma":0.00014893003,"threshold_uncertainty_score":0.98748904},"labels":[],"label_agreement":null},{"id":"W1710068425","doi":"10.3386/w20307","title":"The Micro and Macro of Disappearing Routine Jobs: A Flows Approach","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Macro; Micro level; Computer science; Economics; Econometrics; Microeconomics","score_opus":0.28061966609175604,"score_gpt":0.4378974307257962,"score_spread":0.15727776463404014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1710068425","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117732376,0.007883212,0.00020856287,0.0008937983,0.0007751744,0.0008639716,0.0013744156,0.000014389743,0.8702541],"genre_scores_gemma":[0.9887334,0.0052246666,0.0005217533,0.000011898763,0.00051194365,0.00006557684,0.00025025962,0.0000521436,0.0046283198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996661,0.00013224498,0.0016976203,0.00067898,0.0003709378,0.00045918126],"domain_scores_gemma":[0.99616945,0.0012583408,0.0010786578,0.0005840822,0.00080992206,0.00009953026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018751873,0.00023934181,0.0008964201,0.0005200789,0.00022590213,0.0001387474,0.00072332786,0.0003579618,0.00008132834],"category_scores_gemma":[0.002160526,0.00021867313,0.00022921496,0.00020206916,0.0004321421,0.0001060458,0.00043236997,0.00069170946,0.000030064197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051146806,0.000076163284,0.022029214,0.00043798742,0.00026633323,4.5847364e-7,0.00007323407,0.0001351545,0.000015585887,0.9731744,0.0026457072,0.0010946124],"study_design_scores_gemma":[0.0006913973,0.00008724523,0.015388904,0.00009901228,0.000011719769,0.000013475602,0.00005643845,0.012294593,0.000025156975,0.91253763,0.0584146,0.00037982943],"about_ca_topic_score_codex":0.004248704,"about_ca_topic_score_gemma":0.00031497082,"teacher_disagreement_score":0.87100106,"about_ca_system_score_codex":0.00074820884,"about_ca_system_score_gemma":0.0006493065,"threshold_uncertainty_score":0.8917231},"labels":[],"label_agreement":null},{"id":"W1715130605","doi":"","title":"Regional differences in women's part time employment: an analysis of supply and demand","year":2007,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour supply; Quarter (Canadian coin); Distribution (mathematics); Eu countries; Order (exchange); Demographic economics; Supply and demand; Demand side; Population; Economics; Labour economics; Geography; European union; Demography; Sociology; International trade","score_opus":0.03401846972507752,"score_gpt":0.28100864666209685,"score_spread":0.24699017693701933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1715130605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99119455,0.00015804137,0.000010782082,0.00012798914,0.00004176416,0.00016550206,0.00015081087,0.000007350176,0.008143216],"genre_scores_gemma":[0.99612796,0.0030678308,0.000127024,0.00007944546,0.00003303598,0.000025658668,0.00003383346,0.000016763457,0.0004884688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976138,0.000092105794,0.0009911621,0.0005968425,0.00007362211,0.00063249684],"domain_scores_gemma":[0.9986138,0.00048385566,0.0002368355,0.00043917252,0.00003946635,0.00018690628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00601498,0.00015200635,0.0007048264,0.0013367678,0.000064465916,0.000060514307,0.00028765836,0.00014404196,0.0002828359],"category_scores_gemma":[0.0001911429,0.00017304078,0.00008287732,0.0006414135,0.00023935658,0.00020783007,0.00011748138,0.00026361283,0.0000040528516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014891812,0.00023182972,0.95629513,0.000017045037,0.0001649634,0.0000092496475,0.000773748,0.00019524148,0.000019667817,0.028219495,0.0000016805285,0.013923007],"study_design_scores_gemma":[0.0005853682,0.00013475206,0.96606904,0.000017604298,0.000006676687,8.858808e-7,0.00048727528,0.012958227,0.000007337789,0.017278172,0.0022263208,0.00022831353],"about_ca_topic_score_codex":0.00036643865,"about_ca_topic_score_gemma":0.0015901123,"teacher_disagreement_score":0.013694693,"about_ca_system_score_codex":0.000397475,"about_ca_system_score_gemma":0.00004308335,"threshold_uncertainty_score":0.70563984},"labels":[],"label_agreement":null},{"id":"W1740161556","doi":"","title":"Surqualification et sous-qualification des travailleurs sur le marché du travail : le cas du Québec et de l'Ontario en 1991 et 1996","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reel; Humanities; Political science; Remuneration; Sociology; Business; Philosophy; Law","score_opus":0.0437310880546684,"score_gpt":0.2855423824659191,"score_spread":0.2418112944112507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1740161556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208088,0.0015477038,0.0007907442,0.015502115,0.00073989003,0.0013829995,0.0011441481,0.00006649858,0.058017094],"genre_scores_gemma":[0.8924073,0.084414445,0.0023861376,0.00079480396,0.00017626026,0.0005142736,0.0011509572,0.00024108884,0.017914725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887677,0.0036580602,0.0030985672,0.0024691694,0.00025089612,0.0017556441],"domain_scores_gemma":[0.9927782,0.0028971697,0.00137406,0.0020845141,0.00036654997,0.0004995184],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03183661,0.00087855983,0.0016260702,0.00093286304,0.0005774408,0.00076085754,0.0014885869,0.0011934858,0.00033586955],"category_scores_gemma":[0.0033845603,0.001138928,0.00060852256,0.00044917714,0.0009942655,0.00073313416,0.00063317554,0.0032082924,0.00010915261],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00028718507,0.0016947212,0.5893993,0.00047436362,0.0003663945,0.000039624472,0.017967915,0.018970415,0.000064574,0.33772433,0.000345541,0.032665636],"study_design_scores_gemma":[0.0017225887,0.00014241536,0.7207127,0.00017856351,0.000018739534,0.000044064083,0.0016322851,0.010798246,0.000025321207,0.024531212,0.23899223,0.0012016235],"about_ca_topic_score_codex":0.7840473,"about_ca_topic_score_gemma":0.903618,"teacher_disagreement_score":0.3131931,"about_ca_system_score_codex":0.011176195,"about_ca_system_score_gemma":0.009074289,"threshold_uncertainty_score":0.99910605},"labels":[],"label_agreement":null},{"id":"W1758214730","doi":"10.3233/jem-150409","title":"Human capital, education, achievement and learning","year":2015,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Human capital; Psychology; Economics; Economic growth","score_opus":0.0804694751794681,"score_gpt":0.26834064777971356,"score_spread":0.18787117260024544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1758214730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99136674,0.0020846892,0.00014658886,0.0016238648,0.00047725363,0.00006567033,0.000005958223,0.0000036463905,0.004225573],"genre_scores_gemma":[0.99899775,0.000104075705,0.00015402924,0.0001760805,0.00035053774,0.0000024058672,0.0000011639158,0.000009446481,0.00020453362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902964,0.000042989985,0.00062413677,0.00012957263,0.000052493386,0.000121151],"domain_scores_gemma":[0.99908036,0.000008987185,0.00062259525,0.000052691466,0.000119092736,0.0001162866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031565074,0.000091108195,0.0003035289,0.00009454987,0.0001682066,0.00009167589,0.00007567238,0.000051524356,0.00002334426],"category_scores_gemma":[0.000069230155,0.00009768735,0.000055812845,0.000020275615,0.00004427607,0.00017373376,0.000033840064,0.00016806537,0.0000068266972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027081951,0.00017683087,0.17077398,0.000035877212,0.00017274056,0.0000013790603,0.005071496,0.000033763816,0.0000350761,0.8190439,0.001020868,0.0036070065],"study_design_scores_gemma":[0.0029392992,0.0006619645,0.22494388,0.000045456512,0.000052444153,0.00002151627,0.008062877,0.00013769146,0.000013286234,0.6632513,0.09930814,0.0005621704],"about_ca_topic_score_codex":0.00017787631,"about_ca_topic_score_gemma":0.00004697047,"teacher_disagreement_score":0.15579262,"about_ca_system_score_codex":0.00036975395,"about_ca_system_score_gemma":0.00012396244,"threshold_uncertainty_score":0.39835745},"labels":[],"label_agreement":null},{"id":"W178232396","doi":"10.2139/ssrn.766445","title":"Downsizing, Firm Performance, and Income Distribution: Evaluating the Labor Restructuring Program in Chinese Firms","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Restructuring; Labour economics; Business; Distribution (mathematics); Income distribution; Economics; Finance; Inequality","score_opus":0.012033565420416208,"score_gpt":0.26433410832420007,"score_spread":0.25230054290378384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W178232396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930446,0.004285309,0.00017835661,0.0015521509,0.00014375745,0.00020481668,0.000030068426,0.000021776208,0.0005391729],"genre_scores_gemma":[0.9948521,0.0042915065,0.00018628572,0.00006957252,0.00032620836,0.000020057363,0.000011590047,0.000016080938,0.00022656114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780977,0.00004851985,0.00062267564,0.0002487375,0.00007741345,0.0011928872],"domain_scores_gemma":[0.9993013,0.00006033088,0.00032726314,0.00021228848,0.000042207535,0.000056577326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042964313,0.00016223935,0.00025239287,0.000089766894,0.00031872868,0.0001587414,0.0002572892,0.0000743937,0.00002758512],"category_scores_gemma":[0.0002139871,0.00012190811,0.000061661915,0.0003756135,0.000055639204,0.00034512472,0.00007945428,0.0013043684,0.000009861436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004615743,0.000046418547,0.739459,0.000015090104,0.00003926667,0.0000010795427,0.00019779456,0.00041751345,0.000002841105,0.18787803,0.0000031546542,0.071893685],"study_design_scores_gemma":[0.0008350398,0.00026032326,0.68677604,0.000022721224,0.0000044975263,0.00008835709,0.00008364051,0.028170655,0.0000010740076,0.28140464,0.0021517249,0.00020131303],"about_ca_topic_score_codex":0.00011841028,"about_ca_topic_score_gemma":0.00093316997,"teacher_disagreement_score":0.09352661,"about_ca_system_score_codex":0.00072262937,"about_ca_system_score_gemma":0.00020177563,"threshold_uncertainty_score":0.5666904},"labels":[],"label_agreement":null},{"id":"W1796977185","doi":"10.7202/029235ar","title":"Alienation Among Professional Engineers: A Canadian-American Comparison","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Northwestern University","keywords":"Alienation; Incentive; Proposition; Relation (database); Control (management); Social psychology; Psychology; Sociology; Political science; Management; Economics; Law; Microeconomics; Epistemology; Philosophy; Computer science","score_opus":0.02357878674027992,"score_gpt":0.23956892474608657,"score_spread":0.21599013800580666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1796977185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9455401,0.00032699737,0.0029062568,0.005693904,0.00031195884,0.00020432213,0.0002834306,0.000053716827,0.044679318],"genre_scores_gemma":[0.9944399,0.000017681064,0.0009164631,0.00014577403,0.00012887668,0.000020735184,0.00009797272,0.000015716418,0.0042168736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989589,0.00002150273,0.000493331,0.00023100781,0.00004664299,0.00024862963],"domain_scores_gemma":[0.99927735,0.00008056915,0.0002465014,0.00020652029,0.000033714696,0.00015534788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020838,0.00011111187,0.0002043591,0.00031665468,0.00019980108,0.0000517483,0.00013545039,0.00015664632,0.00051428756],"category_scores_gemma":[0.00020353135,0.00012874787,0.00005267943,0.0005202036,0.00007126889,0.00024124415,0.000020123945,0.0003200885,0.00029005416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021416174,0.000067597924,0.6532147,7.0708535e-7,0.00003262192,8.426338e-7,0.00065501756,0.0039034968,8.875441e-7,0.33015496,0.0035883014,0.008378731],"study_design_scores_gemma":[0.00040452965,0.000035952442,0.5133746,0.000021492875,0.0000094785355,0.0000012357568,0.0007102857,0.105289176,0.000015798363,0.007901545,0.37181777,0.0004181312],"about_ca_topic_score_codex":0.02098515,"about_ca_topic_score_gemma":0.02110738,"teacher_disagreement_score":0.36822945,"about_ca_system_score_codex":0.00032839132,"about_ca_system_score_gemma":0.00011612443,"threshold_uncertainty_score":0.9967549},"labels":[],"label_agreement":null},{"id":"W1797408467","doi":"10.3968/j.css.1923669720090501.010","title":"The Study of Returns to Private Investment in Higher Education from the Point of Employment LES ETUDES SUR LES RENDEMENTS DE L'INVESTISSEMENT PRIVE DANS L'ENSEIGNEMENT SUPERIEUR DU POINT DE VUE DE L'EMPLOI","year":2009,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Investment (military); Economics; Labour economics; Art","score_opus":0.0321211715509859,"score_gpt":0.25415176838573367,"score_spread":0.22203059683474777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1797408467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97219795,0.0009609179,0.00005363756,0.023154272,0.00043620652,0.00088524254,0.0003010218,0.000004663576,0.002006072],"genre_scores_gemma":[0.9961839,0.00023827447,0.00041079446,0.0026962284,0.00011329322,0.00007768075,0.0000075219664,0.000013391287,0.00025893506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974551,0.0002492717,0.00086152216,0.00047151762,0.00021027244,0.000752298],"domain_scores_gemma":[0.9985388,0.00011583272,0.00041496582,0.00042687202,0.00014570155,0.00035780834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034333812,0.00020529829,0.0003277163,0.00015838265,0.0006712415,0.0001565268,0.00090516126,0.00009609876,0.000105422216],"category_scores_gemma":[0.00038211507,0.00019075928,0.00007541996,0.00075612095,0.00044733836,0.00015468926,0.00013327235,0.00018524753,0.0000015068046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015561944,0.0004995202,0.65170324,0.000010674139,0.00004378264,0.0000046046466,0.05490945,0.000071403905,0.00042634117,0.2887786,0.00042817186,0.003108654],"study_design_scores_gemma":[0.00030943812,0.00026946102,0.94018805,0.00007744678,0.000021960113,3.737375e-7,0.01865602,0.00012600143,0.0001366136,0.034431405,0.005584546,0.00019866502],"about_ca_topic_score_codex":0.39618033,"about_ca_topic_score_gemma":0.49167478,"teacher_disagreement_score":0.28848484,"about_ca_system_score_codex":0.00534528,"about_ca_system_score_gemma":0.0015216802,"threshold_uncertainty_score":0.99847305},"labels":[],"label_agreement":null},{"id":"W1806425294","doi":"10.1177/001979390906300107","title":"Faculty Salaries in Ontario: Compression, Inversion, and the Effects of Alternative Forms of Representation","year":2009,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Salary; Arbitration; Representation (politics); Demographic economics; Labour economics; Accounting; Economics; Political science; Law","score_opus":0.04751397522123427,"score_gpt":0.2718913007696074,"score_spread":0.2243773255483731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1806425294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97588164,0.019235589,0.000048975424,0.0024048232,0.00010061199,0.00064946385,0.00009014056,0.0000034881302,0.0015852579],"genre_scores_gemma":[0.9907062,0.008805498,0.000051967163,0.00016076857,0.000011083995,0.000010334307,0.00003647504,0.0000025057861,0.0002151847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908423,0.00006759062,0.000603896,0.00013945022,0.000037798683,0.00006700699],"domain_scores_gemma":[0.999091,0.00025744812,0.0004449221,0.00013159042,0.000051054274,0.000023969735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006020594,0.00007319845,0.00041226955,0.000062165615,0.00004680249,0.000011799339,0.000066937566,0.00006867945,0.00004400712],"category_scores_gemma":[0.0008279749,0.000050531355,0.000043421664,0.00026606434,0.000095084375,0.00015061854,0.000030077086,0.00016685849,0.0000010201326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000640352,0.000048847087,0.32853317,0.00015795148,0.000031866122,7.0532724e-7,0.00071482273,0.000013653771,0.0000030229223,0.6647596,0.00026011042,0.005412213],"study_design_scores_gemma":[0.0046913554,0.00011507611,0.64120275,0.0019454048,0.000053054664,0.0000012250007,0.00004925064,0.00048732015,0.00003759058,0.34037903,0.01087843,0.00015947242],"about_ca_topic_score_codex":0.009671795,"about_ca_topic_score_gemma":0.0014515743,"teacher_disagreement_score":0.32438055,"about_ca_system_score_codex":0.00002764276,"about_ca_system_score_gemma":0.000024391373,"threshold_uncertainty_score":0.9969229},"labels":[],"label_agreement":null},{"id":"W1809499551","doi":"10.7202/1121117ar","title":"Training in the Gendered Labour Market: New Realities, Requirements, and Rewards for Canadian Women","year":2006,"lang":"en","type":"article","venue":"Atlantis Critical Studies in Gender Culture & Social Justice","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Sociology; Servant; Humanities; Welfare economics; Political science; Economics; Philosophy; Engineering","score_opus":0.11170147739774251,"score_gpt":0.32994821313666556,"score_spread":0.21824673573892306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1809499551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5019389,0.03554269,0.0021136736,0.026470048,0.0046152053,0.0023950387,0.0041697696,0.00010650956,0.42264822],"genre_scores_gemma":[0.9938749,0.0009890803,0.000531242,0.0023709792,0.00087460043,0.000103545106,0.00003406709,0.00002077754,0.00120078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791414,0.000102063656,0.00063875894,0.0004508168,0.0000880416,0.00080616004],"domain_scores_gemma":[0.9992242,0.0003604622,0.00008858668,0.0001453063,0.00007681501,0.00010466913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018231347,0.00021345158,0.00049561803,0.00008844988,0.0004637719,0.00012285946,0.00022666188,0.00017508758,0.000040028932],"category_scores_gemma":[0.0011898085,0.00019233862,0.00006462313,0.00031697756,0.0001940331,0.00014370943,0.000060520462,0.0002464368,0.000002052279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024773813,0.0000322488,0.0057190247,0.0002897569,0.000054788157,0.000028945877,0.045156438,0.0000016150329,0.0000012626343,0.9378101,0.010407045,0.00047396446],"study_design_scores_gemma":[0.0009030786,0.00003827021,0.06023504,0.000026351823,0.000039972463,0.000006415322,0.07795776,0.00009322228,1.9475414e-7,0.6617059,0.19861633,0.0003774375],"about_ca_topic_score_codex":0.044303954,"about_ca_topic_score_gemma":0.08209519,"teacher_disagreement_score":0.4919361,"about_ca_system_score_codex":0.00050472736,"about_ca_system_score_gemma":0.0000993903,"threshold_uncertainty_score":0.9620601},"labels":[],"label_agreement":null},{"id":"W1810600875","doi":"","title":"Estimation of the Effects of Statistical Discrimination on the Gender Wage Gap","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Endogeneity; Wage; Statistical discrimination; Estimation; Instrumental variable; Panel data; Demographic economics; Economics; Gender gap; Hourly wage; Wage growth; Panel survey; Survey data collection; Labour economics; Psychology; Econometrics; Statistics","score_opus":0.0685003477230539,"score_gpt":0.32121692123038315,"score_spread":0.25271657350732923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1810600875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93902856,0.0001509716,0.00025660833,0.0004791467,0.00073156226,0.0010450629,0.0007812726,0.000007745463,0.057519063],"genre_scores_gemma":[0.99820316,0.0009879051,0.00024039256,0.000047539448,0.000049457474,0.000109754204,0.000059744474,0.000033634355,0.00026843103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759096,0.0003499892,0.0010301135,0.00053177896,0.0001500868,0.00034705907],"domain_scores_gemma":[0.99608314,0.0018527508,0.00070192415,0.0011774645,0.00011536899,0.00006934559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047437856,0.00020869923,0.00057322456,0.00025842612,0.00008221588,0.00005964016,0.0007575877,0.00027089193,0.00004786066],"category_scores_gemma":[0.0047736117,0.00015909926,0.00015928982,0.0001556714,0.0003671934,0.000061157894,0.0006968656,0.0009278877,0.00000647034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076029595,0.000275524,0.0077153123,0.0008145403,0.00010158016,0.0000025110012,0.00084261555,0.012726748,0.000015156619,0.947037,0.000071907285,0.0303211],"study_design_scores_gemma":[0.0005622532,0.00012037386,0.08935371,0.0002613971,0.000012634254,7.057774e-7,0.00017608392,0.12740485,0.00020541987,0.7812441,0.00037113458,0.00028731854],"about_ca_topic_score_codex":0.00021760474,"about_ca_topic_score_gemma":0.000076907876,"teacher_disagreement_score":0.16579287,"about_ca_system_score_codex":0.0006033491,"about_ca_system_score_gemma":0.00021277176,"threshold_uncertainty_score":0.648788},"labels":[],"label_agreement":null},{"id":"W1810998815","doi":"10.47678/cjhe.v31i2.183389","title":"Part-time and Limited-term Faculty in Alberta's Colleges","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Term (time); Higher education; Dual (grammatical number); Political science; Sociology; Economics; Demographic economics; Labour economics; Economic growth","score_opus":0.024633496203554386,"score_gpt":0.24311488919338792,"score_spread":0.21848139298983354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1810998815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98496157,0.0022854842,0.0000028053641,0.005027292,0.0008362772,0.000055878347,0.000057560585,0.0000012408143,0.0067719207],"genre_scores_gemma":[0.9850367,0.00011518406,0.00007406827,0.00045434694,0.00019595733,0.00000235576,0.000018707993,0.000009370674,0.014093363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992311,0.000017522456,0.00043695018,0.00011687252,0.00001949942,0.00017803999],"domain_scores_gemma":[0.9992681,0.000033982116,0.0002713404,0.000102596576,0.00006263072,0.00026135106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003076251,0.00007650046,0.00019924167,0.00032109357,0.00004894613,0.00007454738,0.00010340347,0.00006393811,0.0007105421],"category_scores_gemma":[0.000064460575,0.00008365683,0.000036786438,0.00022322884,0.000028932027,0.00019844048,0.000004552082,0.00010822565,0.000031583946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072677694,0.000042237098,0.95319366,0.0000066788757,0.000016970134,0.000012515685,0.00034604044,0.000010461238,0.0000023172395,0.040439446,0.00515677,0.0007656578],"study_design_scores_gemma":[0.0002090386,0.000024932993,0.6761681,0.000025479852,0.0000034843613,0.000023094224,0.000021657577,0.000027959586,0.0000010528507,0.01675471,0.30664098,0.00009949298],"about_ca_topic_score_codex":0.01776659,"about_ca_topic_score_gemma":0.030788494,"teacher_disagreement_score":0.30148423,"about_ca_system_score_codex":0.00020562494,"about_ca_system_score_gemma":0.00032763867,"threshold_uncertainty_score":0.9887742},"labels":[],"label_agreement":null},{"id":"W1818609625","doi":"10.3386/w21347","title":"Top Incomes in Canada: Evidence from the Census","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Census; Distribution (mathematics); Demographic economics; Geography; Economics; Business; Demography; Population; Sociology","score_opus":0.4950588887994822,"score_gpt":0.4710811725600869,"score_spread":0.023977716239395264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1818609625","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21519932,0.028065978,0.0000099493855,0.009702799,0.003548056,0.0011903257,0.013561446,0.000013535168,0.72870857],"genre_scores_gemma":[0.99318373,0.003952181,0.000054393706,0.00006559604,0.0006947947,0.00006554656,0.00046480802,0.00003506558,0.0014839116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961829,0.00019315259,0.0015857404,0.0007018496,0.0008663757,0.00046995317],"domain_scores_gemma":[0.9933132,0.0035265083,0.00075466384,0.0006566354,0.0016276292,0.00012136408],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.019614572,0.00022274665,0.00083097356,0.00042523473,0.00008134438,0.000076944925,0.0011819382,0.00027522576,0.0003917523],"category_scores_gemma":[0.01000108,0.00020851025,0.00012754502,0.0003414656,0.00015278459,0.0001770738,0.00038089638,0.0009836967,0.00008223956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00006769445,0.000049859325,0.41495293,0.00008878128,0.00018632885,0.000014925302,0.0001169867,0.00088504364,9.691043e-7,0.46184927,0.12068841,0.0010987904],"study_design_scores_gemma":[0.0003177707,0.000022262158,0.082936384,0.00015663369,0.0000036052554,0.0000022837519,0.000083361425,0.002754563,0.0000025721938,0.82151216,0.09192878,0.00027960935],"about_ca_topic_score_codex":0.99199885,"about_ca_topic_score_gemma":0.97175753,"teacher_disagreement_score":0.7779844,"about_ca_system_score_codex":0.01899007,"about_ca_system_score_gemma":0.023226822,"threshold_uncertainty_score":0.9983381},"labels":[],"label_agreement":null},{"id":"W1825707312","doi":"","title":"Youth Turnover in Brazil: Job and Worker Flows and an Evaluation of a Youth-Targeted Training Program","year":2014,"lang":"en","type":"preprint","venue":"El Servicio de Difusión de la Creación Intelectual (National University of La Plata)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Youth unemployment; Turnover; Unemployment; Labour economics; Training (meteorology); Turnover intention; Business; Positive Youth Development; Job training; Demographic economics; Psychology; Economics; Job satisfaction; Economic growth; Vocational education; Social psychology; Management","score_opus":0.03916946033246904,"score_gpt":0.27681131818656646,"score_spread":0.23764185785409742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1825707312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98891836,0.00027867802,0.0015131827,0.00006206514,0.00005830354,0.00039183203,0.0014407883,0.000030102305,0.007306681],"genre_scores_gemma":[0.99723303,0.0001530311,0.0017957613,0.000058789235,0.000048392492,0.0000033688011,0.0006702273,0.00002445748,0.000012917543],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804157,0.0003871819,0.0005182887,0.00055290386,0.0002263878,0.00027364347],"domain_scores_gemma":[0.9982796,0.00044383903,0.00055059086,0.00024066836,0.00036235322,0.00012294875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004771464,0.0002574645,0.0006179253,0.00047410416,0.00007000412,0.000073553565,0.00033469638,0.00052963407,0.000094346244],"category_scores_gemma":[0.000528536,0.00034203118,0.000100166864,0.00024123029,0.00018753538,0.00020977485,0.00024751908,0.0005797041,8.6054484e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001446314,0.0014582577,0.4948615,0.0008939078,0.0009968219,0.000023919498,0.23308246,0.026530538,0.00012404639,0.2166651,0.000033620796,0.023883503],"study_design_scores_gemma":[0.0022205235,0.00011920895,0.39460474,0.00026021083,0.00012738642,0.000008716859,0.0039853654,0.46996394,0.000010464231,0.1279519,0.00024141662,0.00050612015],"about_ca_topic_score_codex":0.00270964,"about_ca_topic_score_gemma":0.001999965,"teacher_disagreement_score":0.4434334,"about_ca_system_score_codex":0.00029537588,"about_ca_system_score_gemma":0.0002820862,"threshold_uncertainty_score":0.99990314},"labels":[],"label_agreement":null},{"id":"W1826042447","doi":"","title":"Glass Ceilings and Sticky Floors: A Representation Index","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Earnings; Quantile; Representation (politics); Index (typography); Population; Econometrics; Quantile regression; Statistics; Mathematics; Wage; Economics; Demography; Computer science; Labour economics; Political science; Finance; Sociology","score_opus":0.03631861731608026,"score_gpt":0.2981712142897478,"score_spread":0.26185259697366753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1826042447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89970124,0.0007382106,0.00012510947,0.0005859521,0.0006501784,0.00078226934,0.0006142665,0.000051783165,0.09675097],"genre_scores_gemma":[0.9883758,0.0073638456,0.0007846421,0.00009375379,0.00035094592,0.00020007367,0.0002343727,0.000094196,0.0025023657],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995505,0.00016910165,0.0016097904,0.0017066827,0.00012287393,0.00088656234],"domain_scores_gemma":[0.9972437,0.0005249717,0.00063556724,0.0012613982,0.00012400285,0.0002103719],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003416523,0.00042019732,0.0010191349,0.00094536,0.00017660687,0.00047298253,0.0006422265,0.00071725284,0.000090309775],"category_scores_gemma":[0.0009486475,0.0005418238,0.0002049542,0.00027159337,0.00034151648,0.00021755816,0.0013395437,0.0017360839,0.000022404105],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022395553,0.0004665671,0.7816185,0.0005910807,0.00025417225,0.000094061485,0.0008180354,0.012145359,0.0000148993995,0.105622366,0.00012950678,0.0980215],"study_design_scores_gemma":[0.0017454348,0.00009435932,0.29089403,0.00021716533,0.000011247473,0.00001089196,0.00032084895,0.16083364,0.000015906264,0.5255183,0.01905545,0.0012827007],"about_ca_topic_score_codex":0.0033684731,"about_ca_topic_score_gemma":0.0010674974,"teacher_disagreement_score":0.49072444,"about_ca_system_score_codex":0.0009389692,"about_ca_system_score_gemma":0.00019994902,"threshold_uncertainty_score":0.99970335},"labels":[],"label_agreement":null},{"id":"W1832979462","doi":"10.26686/lew.v0i0.1256","title":"The Use of New Technology and Rising Inequality in New Zealand: Evidence from Unit Record Data","year":2004,"lang":"en","type":"article","venue":"Labour Employment and Work in New Zealand","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Unit (ring theory); Quarter (Canadian coin); Distribution (mathematics); Demographic economics; Wage; Economics; Labour economics; Geography; Psychology","score_opus":0.10984075431451518,"score_gpt":0.28613469640903644,"score_spread":0.17629394209452126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1832979462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843076,0.004179721,0.00044135592,0.010451256,0.00018529427,0.0002516849,0.00015034262,0.000020888121,0.0000118912085],"genre_scores_gemma":[0.9778866,0.01170006,0.0046812426,0.00023657353,0.00014359722,0.0000037564043,0.00005057393,0.000029516528,0.0052680853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799526,0.000051214163,0.00091866305,0.00059446436,0.00006819986,0.00037218712],"domain_scores_gemma":[0.99819493,0.00042440862,0.00038498492,0.00082338287,0.000019132221,0.00015315649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009757878,0.00021226877,0.0005181668,0.00026303405,0.00007224995,0.00018732763,0.00044214414,0.00018479639,0.000026584727],"category_scores_gemma":[0.0004877826,0.00018777933,0.000026639716,0.0009142585,0.000083670006,0.00043065794,0.00041370385,0.00031241626,0.0000040700797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017466459,0.000036607544,0.96574354,0.000007663584,0.000026780861,0.0000065235085,0.00073623797,0.000044623204,0.000004300528,0.013316007,0.0006334025,0.01926967],"study_design_scores_gemma":[0.0016286236,0.00005749174,0.6633196,0.0002803772,0.000007440141,9.897515e-7,0.000030004616,0.000060766783,0.000007663863,0.26496536,0.069427796,0.00021392968],"about_ca_topic_score_codex":0.13112806,"about_ca_topic_score_gemma":0.050110906,"teacher_disagreement_score":0.30242395,"about_ca_system_score_codex":0.000067327885,"about_ca_system_score_gemma":0.00014405399,"threshold_uncertainty_score":0.9672221},"labels":[],"label_agreement":null},{"id":"W1841168204","doi":"10.1177/0019793914556245","title":"How the Perception of Control Influences Unemployed Job Search","year":2014,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seekers; Locus of control; Perception; Reservation; Psychology; Set (abstract data type); Job attitude; Control (management); Job analysis; Social psychology; Reservation wage; Job performance; Labour economics; Job satisfaction; Economics; Computer science; Management; Political science","score_opus":0.06292120419843172,"score_gpt":0.2628842021443303,"score_spread":0.19996299794589856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841168204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91066384,0.035838928,0.0012704361,0.04505326,0.00032786085,0.0009599814,0.00045677408,0.000026695085,0.0054022395],"genre_scores_gemma":[0.9899375,0.008411625,0.000050963135,0.00049395644,0.0001491656,0.000023375625,0.000011361566,0.0000072684,0.00091480336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989836,0.00015640013,0.0004985238,0.0001837275,0.00005250972,0.00012523102],"domain_scores_gemma":[0.99911785,0.00024215311,0.00026301979,0.00024361211,0.00008827499,0.000045072422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019032835,0.000093375864,0.00036601358,0.000054753724,0.00013122793,0.00006484356,0.00014088434,0.000102238446,0.00023785526],"category_scores_gemma":[0.00089753163,0.000066816116,0.000076233475,0.00037843836,0.00010604506,0.0001522499,0.000026013044,0.0002164082,0.00002903138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010774697,0.000023375753,0.325464,0.00014559997,0.000050116236,1.5828853e-7,0.00008115716,0.000028293549,0.0000075637604,0.65109926,0.0006743104,0.022415351],"study_design_scores_gemma":[0.001969401,0.0001728847,0.39387053,0.0008181456,0.00011311249,0.0000033847923,0.00009379801,0.0020401096,0.0000015205482,0.0558418,0.5446971,0.00037821723],"about_ca_topic_score_codex":0.00024994244,"about_ca_topic_score_gemma":0.000016879923,"teacher_disagreement_score":0.5952575,"about_ca_system_score_codex":0.000020235888,"about_ca_system_score_gemma":0.000023001308,"threshold_uncertainty_score":0.2724682},"labels":[],"label_agreement":null},{"id":"W1851071129","doi":"","title":"Real wage growth over the business cycle:contractual versus spot markets","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Wage growth; Business cycle; Wage; Economics; Labour economics; Commit; Efficiency wage; Odds; Spell; Recession; Logistic regression","score_opus":0.04392152898177302,"score_gpt":0.28416776590864523,"score_spread":0.24024623692687222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851071129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64762133,0.00029954425,0.000009299407,0.00046257718,0.0021335757,0.000764645,0.00079571415,0.00005037719,0.34786296],"genre_scores_gemma":[0.9646017,0.03200626,0.00028236437,0.00013865063,0.00066169666,0.00027026806,0.0001823333,0.00016094973,0.0016957528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9939464,0.00041829987,0.0020071547,0.0018872066,0.00016193421,0.0015790408],"domain_scores_gemma":[0.99411625,0.001995032,0.0009664916,0.0023672022,0.00024743198,0.00030757577],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009330654,0.0006674918,0.0013825953,0.0007286311,0.00034351286,0.0003647781,0.0021351208,0.0009403065,0.0008106791],"category_scores_gemma":[0.00265757,0.0006613212,0.00043997722,0.00042062192,0.0006197443,0.00029656693,0.0021618474,0.0028126633,0.00010599112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003318264,0.0011478058,0.11872103,0.0006278727,0.0011730382,0.00021583187,0.001764403,0.0015287799,0.000008238703,0.7886795,0.00038784597,0.08242739],"study_design_scores_gemma":[0.0029780113,0.000100325036,0.71078485,0.00016108713,0.000024657707,0.0000067710857,0.00019665649,0.009482983,0.0000074388126,0.2552378,0.019502891,0.0015165192],"about_ca_topic_score_codex":0.0045605446,"about_ca_topic_score_gemma":0.0013420497,"teacher_disagreement_score":0.59206384,"about_ca_system_score_codex":0.0014873012,"about_ca_system_score_gemma":0.00044734371,"threshold_uncertainty_score":0.9995838},"labels":[],"label_agreement":null},{"id":"W1853853489","doi":"10.2139/ssrn.526002","title":"On the Specification of Mincerian Wage Regressions with Heterogeneity, Non-Linearity, Non-Separability, and Heteroskedasticity","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Econometrics; Economics; Heteroscedasticity; Wage; Variance (accounting); Estimation; Regression; Shock (circulatory); National Longitudinal Surveys; Labour economics; Mathematics; Statistics","score_opus":0.019854433176630923,"score_gpt":0.2361009774712781,"score_spread":0.21624654429464718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1853853489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95443755,0.00025559234,0.042631548,0.0012786537,0.00011781457,0.00020466853,0.000046575868,0.000006889705,0.0010207129],"genre_scores_gemma":[0.9986378,0.0008448002,0.0002474933,0.00009760935,0.000084692634,0.0000055118835,0.000004710242,0.000019638586,0.000057728135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981493,0.000034321878,0.0005764621,0.0003056078,0.00009697168,0.00083737477],"domain_scores_gemma":[0.9988365,0.00011705022,0.0005131158,0.00037522326,0.00007445856,0.000083663435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031473127,0.00016994115,0.0003146845,0.00011453857,0.0002457421,0.00007501132,0.0002963544,0.00008805108,0.000017562857],"category_scores_gemma":[0.00012287598,0.00012079342,0.0000945154,0.00021670327,0.00016686977,0.00013068152,0.000071697825,0.00088833185,0.000009762825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016983502,0.0002491622,0.050159566,0.000014868934,0.00011042685,0.0000022462089,0.00016063672,0.00031444995,0.00017813183,0.9480101,0.0000035695987,0.0006269989],"study_design_scores_gemma":[0.001161711,0.0006465826,0.10986513,0.000057130743,0.000013754147,0.000059752176,0.00014477308,0.0005315247,0.00046118902,0.88676435,0.000070225935,0.00022388807],"about_ca_topic_score_codex":0.00032176013,"about_ca_topic_score_gemma":0.0018609354,"teacher_disagreement_score":0.061245773,"about_ca_system_score_codex":0.0004603955,"about_ca_system_score_gemma":0.00023743455,"threshold_uncertainty_score":0.49258125},"labels":[],"label_agreement":null},{"id":"W1867907437","doi":"10.3982/ecta7870","title":"Directed Search for Equilibrium Wage-Tenure Contracts","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Wage; Unemployment; Economics; Labour economics; Distribution (mathematics); Efficiency wage; Compensating differential; General equilibrium theory; Microeconomics; Wage share; Mathematics","score_opus":0.014354533607730792,"score_gpt":0.22977313903229993,"score_spread":0.21541860542456914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1867907437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95575726,0.006807213,0.02322377,0.0020332015,0.00057278294,0.0003484466,0.00022172663,0.000084580526,0.010951025],"genre_scores_gemma":[0.9928393,0.00070119905,0.00024916962,0.00011028642,0.00069772877,0.000013887595,0.000046190293,0.00004530895,0.0052969754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965539,0.000039205108,0.00068806147,0.00033207436,0.0000716187,0.0023151366],"domain_scores_gemma":[0.99910545,0.000119893906,0.00031949568,0.00023437383,0.00013387523,0.00008692978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036059986,0.00018344677,0.00038846748,0.00016956161,0.00018558068,0.00016418118,0.00026288457,0.00013627003,0.000061679755],"category_scores_gemma":[0.00012297319,0.0001907655,0.0002246277,0.00023027782,0.000040981806,0.00025576417,0.000035146408,0.000993043,0.00004809735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080434664,0.0001053212,0.01101479,0.000008575109,0.000096363096,0.0000039383463,0.000023018514,0.00009782658,0.00019366146,0.98664516,0.00021649137,0.0015144366],"study_design_scores_gemma":[0.0014584184,0.00017558617,0.011026122,0.0000079601305,0.000011937651,0.00006779284,0.000055127137,0.0033315893,0.000085400054,0.96886444,0.014611406,0.00030423043],"about_ca_topic_score_codex":0.0005345312,"about_ca_topic_score_gemma":0.0005458566,"teacher_disagreement_score":0.037082,"about_ca_system_score_codex":0.0007387798,"about_ca_system_score_gemma":0.0004243981,"threshold_uncertainty_score":0.7779191},"labels":[],"label_agreement":null},{"id":"W1872957668","doi":"10.1111/irel.12231","title":"Moving Up or Falling Behind? Gender, Promotions, and Wages in Canada","year":2019,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Overtime; Falling (accident); Wage growth; Demographic economics; Hourly wage; Wage; Labour economics; Economics; Low wage; Medicine; Environmental health","score_opus":0.05660336909131891,"score_gpt":0.22734320003903008,"score_spread":0.17073983094771117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1872957668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957297,0.0006375625,0.00029642644,0.0006319629,0.00043823902,0.00014515345,0.000049936116,0.0000021330131,0.0020689226],"genre_scores_gemma":[0.99846625,0.00050590123,0.00044367247,0.00010117024,0.00011385258,0.0000022436222,0.0000029035089,0.0000079339015,0.00035606092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882275,0.000027699352,0.0008000004,0.000162649,0.000028591,0.00015829234],"domain_scores_gemma":[0.999021,0.00022765863,0.00053115346,0.00009206983,0.00004173534,0.000086378146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011454566,0.00009652976,0.00033260143,0.0000764724,0.000098724195,0.00008199622,0.00008291902,0.00013616361,0.00018629085],"category_scores_gemma":[0.00015050235,0.000094719944,0.0000729555,0.00010409883,0.000024596096,0.00041257686,0.000036097157,0.00043416242,0.0000019539798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022641558,0.00002582349,0.95423216,0.000019146562,0.00010721503,0.00000445525,0.0012510647,0.00056900515,0.000001659971,0.041640952,0.00027010476,0.001855791],"study_design_scores_gemma":[0.014102718,0.00037472747,0.65663826,0.00035755738,0.00008700083,0.00014650362,0.013045039,0.05612757,0.0000142452345,0.19610085,0.061638348,0.0013671949],"about_ca_topic_score_codex":0.04057285,"about_ca_topic_score_gemma":0.028655844,"teacher_disagreement_score":0.2975939,"about_ca_system_score_codex":0.00033924927,"about_ca_system_score_gemma":0.00053525344,"threshold_uncertainty_score":0.9890686},"labels":[],"label_agreement":null},{"id":"W1879956231","doi":"10.1111/caje.12093","title":"The impact of product market competition on training provision: Evidence from Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Productivity; Training (meteorology); Human capital; Product (mathematics); Product market; Business; Market competition; Association (psychology); Industrial organization; Economics; Microeconomics; Economic growth; Psychology; Geography","score_opus":0.12438779792646158,"score_gpt":0.19853059019921693,"score_spread":0.07414279227275535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1879956231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909226,0.00057631807,0.00008932911,0.002720797,0.0015432667,0.00022873322,0.001056838,0.0000030293413,0.002859093],"genre_scores_gemma":[0.99857354,0.00021020346,0.00014509195,0.00024058233,0.0005771407,0.000008153528,0.000016077407,0.000040483752,0.00018873958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972673,0.00011380945,0.0015428973,0.0004213886,0.0000039276983,0.0006506691],"domain_scores_gemma":[0.99550205,0.00089256593,0.0017612244,0.00067699875,0.00020740242,0.0009597307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026684217,0.00028596632,0.0008638344,0.0003033489,0.00022498488,0.00016018322,0.0007979012,0.0001057281,0.00035566435],"category_scores_gemma":[0.0017230535,0.00027328468,0.0003062879,0.00014859755,0.00015408907,0.0003347165,0.000022274211,0.00038030816,0.000006387342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024149493,0.000019281777,0.079145744,0.0000346785,0.0003600244,0.000032022548,0.00095946086,0.010463388,0.000008757476,0.89930665,0.0017618885,0.0076666037],"study_design_scores_gemma":[0.0009672999,0.00093305024,0.13863635,0.00039634976,0.000028834585,0.0000742368,0.00034065044,0.019755501,0.000056053388,0.8183397,0.019670963,0.00080099504],"about_ca_topic_score_codex":0.97591305,"about_ca_topic_score_gemma":0.9989708,"teacher_disagreement_score":0.08096694,"about_ca_system_score_codex":0.003066097,"about_ca_system_score_gemma":0.0036435109,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W1887520173","doi":"10.1111/labr.12071","title":"Impact of the Minimum Wage on Youth Labor Markets","year":2015,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Minimum wage; Turnover; Wage; Labour economics; Economics; Panel data; Demographic economics; Hourly wage; Wage growth; Econometrics; Geography","score_opus":0.04089073912424087,"score_gpt":0.2501083000477056,"score_spread":0.20921756092346475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1887520173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97243005,0.00021213217,0.000024609037,0.00048966147,0.00054963183,0.00012959189,0.002508891,0.000017337363,0.023638083],"genre_scores_gemma":[0.9963824,0.000019803614,0.00005580814,0.00028418782,0.0000875408,0.000003816749,0.000010122751,0.000020849642,0.003135428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989877,0.000047953996,0.00041826974,0.00024073121,0.00006333037,0.00024203524],"domain_scores_gemma":[0.9988514,0.000049327715,0.0003213857,0.0005929477,0.00007985802,0.00010506006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000881375,0.0001383056,0.00029787127,0.000070829374,0.000041052226,0.000036542402,0.00035252207,0.00008642177,0.00018412925],"category_scores_gemma":[0.00041428691,0.000100997786,0.00018263863,0.00034779802,0.000044255376,0.0000800606,0.00008959966,0.00013870251,0.00009525022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012814699,0.0001987894,0.6392175,0.00001509648,0.00008908664,0.000002644938,0.0010313558,0.000083457366,0.000016201784,0.35806164,0.0008146094,0.0003414746],"study_design_scores_gemma":[0.0007890519,0.000118691845,0.9315747,0.000016064045,0.00000571192,6.8776484e-7,0.000098390825,0.00037233566,0.000033024626,0.06325301,0.00355266,0.0001857025],"about_ca_topic_score_codex":0.0007977883,"about_ca_topic_score_gemma":0.000033313325,"teacher_disagreement_score":0.29480863,"about_ca_system_score_codex":0.00011907389,"about_ca_system_score_gemma":0.000058749833,"threshold_uncertainty_score":0.411857},"labels":[],"label_agreement":null},{"id":"W1888806473","doi":"10.3968/j.sss.1923018420130402.1536","title":"Grey-Correlative-Degree Analysis of Influencing Factors of Women's Employment in China","year":2013,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Correlative; China; Investment (military); Human capital; Wage; Demographic economics; Socialization; Economics; Gray (unit); Labour economics; Economic growth; Political science; Sociology","score_opus":0.0647962966842749,"score_gpt":0.30669581791757317,"score_spread":0.24189952123329828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1888806473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998095,0.00066294055,0.000036104953,0.000068229354,0.00016943752,0.00011634188,0.000034657092,0.0000027480562,0.0008145657],"genre_scores_gemma":[0.9994877,0.00027863737,0.00017429354,0.000019310924,0.000002991522,0.00001622746,8.462985e-7,0.0000029592493,0.000017036273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983383,0.000041880583,0.00092353235,0.00030769507,0.000063295396,0.00032530414],"domain_scores_gemma":[0.99865675,0.00028197875,0.000675895,0.00022868278,0.00012601582,0.000030672167],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026899264,0.0001016899,0.0008945377,0.0008182259,0.000051988653,0.0000020787288,0.00034922065,0.00006488273,0.00005433893],"category_scores_gemma":[0.0011914576,0.00009339766,0.000086520755,0.0016693141,0.008586891,0.00020951142,0.00022172276,0.00012005935,0.0000013724979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032075745,0.000048868653,0.8792764,0.000020926198,0.00014246204,2.0640016e-7,0.083171725,0.0006272716,0.00008588587,0.036542952,7.6155146e-7,0.000079354424],"study_design_scores_gemma":[0.00015388118,0.00006590676,0.9129146,0.000013665865,0.00000755293,2.3190363e-8,0.025621062,0.0009255148,0.000030664833,0.06018723,0.0000018450814,0.00007805037],"about_ca_topic_score_codex":0.0020571698,"about_ca_topic_score_gemma":0.00015813923,"teacher_disagreement_score":0.05755067,"about_ca_system_score_codex":0.00039521186,"about_ca_system_score_gemma":0.000038899205,"threshold_uncertainty_score":0.9941112},"labels":[],"label_agreement":null},{"id":"W1893384989","doi":"10.1111/j.1540-5982.2009.01522.x","title":"Trade, technology, and unemployment: the role of endogenous skill formation","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Wage; Wage inequality; Labour economics; Globalization; Technological change; Shock (circulatory); Stock (firearms); Inequality; Efficiency wage; Macroeconomics; Market economy","score_opus":0.07023185872187891,"score_gpt":0.16911770318373687,"score_spread":0.09888584446185796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1893384989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98727894,0.0028931727,0.00006462643,0.0053731566,0.000310985,0.00020688651,0.00039361676,0.0000047625344,0.003473876],"genre_scores_gemma":[0.998706,0.0004608679,0.00020000219,0.00043594753,0.00012817011,0.0000046022087,0.0000076102024,0.000020038631,0.00003675997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805886,0.000023252385,0.0012245057,0.00022666236,0.0000016216884,0.0004650834],"domain_scores_gemma":[0.99785364,0.00006841527,0.0011567834,0.00035991706,0.00006660311,0.00049467135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009798314,0.00019278297,0.0005990802,0.0008865278,0.00015353809,0.00008064595,0.0004810056,0.00017680439,0.000050392635],"category_scores_gemma":[0.00015885949,0.00020322704,0.00014811878,0.00023414193,0.00017124375,0.00038541152,0.000015125658,0.00027344225,0.0000041630365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001538874,0.000012269354,0.011099258,0.000011352276,0.00005483039,0.000012313463,0.0009972001,0.00030260033,0.000026140464,0.98034066,0.000021353797,0.007106615],"study_design_scores_gemma":[0.0004343128,0.00029323524,0.0032585324,0.000030443925,0.000016505399,0.00034990598,0.00059532083,0.0018498995,0.00025961077,0.9725872,0.020091405,0.0002335745],"about_ca_topic_score_codex":0.018506799,"about_ca_topic_score_gemma":0.36784917,"teacher_disagreement_score":0.34934238,"about_ca_system_score_codex":0.000633414,"about_ca_system_score_gemma":0.00030167453,"threshold_uncertainty_score":0.98802906},"labels":[],"label_agreement":null},{"id":"W189565084","doi":"10.7202/028366ar","title":"Unemployement and Labour Force Participation : The Canadian Experience","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Unemployment; Regression analysis; Regression; Economics; Sensitivity (control systems); Series (stratigraphy); Section (typography); Econometrics; Demographic economics; Labour economics; Mathematics; Statistics; Engineering; Macroeconomics; Computer science; Geology","score_opus":0.04262158303879656,"score_gpt":0.2521429932651005,"score_spread":0.2095214102263039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189565084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692315,0.0005082421,0.0006666515,0.013288278,0.0000866936,0.0001523562,0.00008409584,0.00001581191,0.01596641],"genre_scores_gemma":[0.9955063,0.00007059421,0.00019092816,0.00038897,0.000072661154,0.000035479574,0.000010829936,0.000007359217,0.0037168807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993094,0.000016741658,0.00029532824,0.00016505265,0.00002968703,0.00018378178],"domain_scores_gemma":[0.9995166,0.00006148928,0.00010187509,0.00020084287,0.00002790995,0.000091276284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003722785,0.00007099284,0.000087702036,0.000077580815,0.00044534457,0.0000931549,0.00009673199,0.00009882238,0.00032976948],"category_scores_gemma":[0.00016160271,0.0000643352,0.000020503727,0.00022348025,0.00006148685,0.00015686793,0.00002488002,0.00014983903,0.000083152154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010123155,0.000011674535,0.17813344,3.9624868e-7,0.000009563502,2.8618194e-7,0.0012171116,0.00059581356,8.090305e-7,0.81594425,0.0002858432,0.003799787],"study_design_scores_gemma":[0.000261995,0.000017816023,0.37332326,0.0000071921195,0.000006112479,0.0000014228299,0.0004006849,0.012223052,0.000021069969,0.04817933,0.56534696,0.00021110331],"about_ca_topic_score_codex":0.025069356,"about_ca_topic_score_gemma":0.06745316,"teacher_disagreement_score":0.7677649,"about_ca_system_score_codex":0.00014719402,"about_ca_system_score_gemma":0.000054871354,"threshold_uncertainty_score":0.9814228},"labels":[],"label_agreement":null},{"id":"W189670994","doi":"","title":"Does adult training benefit Canadian workers","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Matching (statistics); Propensity score matching; Wage growth; Demographic economics; Economics; Psychology; Demography; Labour economics; Statistics; Mathematics; Sociology","score_opus":0.0419456755428233,"score_gpt":0.2738492581377604,"score_spread":0.2319035825949371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189670994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7380938,0.00018795516,0.000004975981,0.0024171872,0.0018614873,0.00087317365,0.0013780786,0.000046976067,0.25513637],"genre_scores_gemma":[0.9837952,0.0061653606,0.00079849875,0.0004750512,0.00044201926,0.0004469847,0.00023259522,0.00014565903,0.00749858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944501,0.0001079351,0.0016991709,0.0017695875,0.000114473485,0.0018587261],"domain_scores_gemma":[0.9963892,0.00037446225,0.00054441916,0.0017042761,0.00021199136,0.0007756132],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0035532394,0.0005480573,0.0012221276,0.001486036,0.00029125158,0.0006298437,0.0014259877,0.0013751993,0.0010656477],"category_scores_gemma":[0.0009237982,0.00054092705,0.0003535674,0.00029199568,0.000294521,0.00023963297,0.00081115734,0.0034269476,0.00018487131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006568464,0.0001759149,0.37610376,0.00038369093,0.00045122227,0.00009115416,0.002670531,0.00714101,0.0000024459093,0.42468512,0.00018648933,0.18804295],"study_design_scores_gemma":[0.0010627338,0.00007246141,0.091855526,0.00042925926,0.000009167441,0.0000046295168,0.0021000751,0.030333467,0.0000045348247,0.78727,0.084881246,0.0019768958],"about_ca_topic_score_codex":0.17744355,"about_ca_topic_score_gemma":0.2989086,"teacher_disagreement_score":0.36258486,"about_ca_system_score_codex":0.0029369262,"about_ca_system_score_gemma":0.0008698796,"threshold_uncertainty_score":0.9999212},"labels":[],"label_agreement":null},{"id":"W189738645","doi":"10.5860/choice.49-4560","title":"Women in management worldwide: progress and prospects","year":2012,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History; Political science; Business","score_opus":0.0456190456890011,"score_gpt":0.2878982595716951,"score_spread":0.24227921388269402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189738645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8491663,0.14242895,0.00004613382,0.0007814109,0.00029792404,0.00096844474,0.00009714467,0.000028976703,0.0061847116],"genre_scores_gemma":[0.94784456,0.04544095,0.0031941014,0.00043248618,0.0002505688,0.0002893594,0.000042816228,0.000030059038,0.0024751152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841875,0.00003302397,0.00069685484,0.00029904887,0.000029565801,0.000522748],"domain_scores_gemma":[0.9991982,0.00003145657,0.00026622144,0.00033293784,0.000010450953,0.00016070572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020921149,0.00015810854,0.000539446,0.00014509006,0.000033277833,0.000040443192,0.00015009072,0.000048190195,0.00012318323],"category_scores_gemma":[0.00014190646,0.00015061694,0.00004887953,0.00039307968,0.000037452784,0.00023829447,0.00011248313,0.00013394568,0.00009022978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049435957,0.00038993396,0.81297445,0.00084799016,0.000019413841,0.0000026219845,0.00023644805,3.0064612e-7,4.773712e-7,0.13544607,0.000071282484,0.050006032],"study_design_scores_gemma":[0.00035816152,0.0000136592025,0.49786964,0.0001313701,0.00000354889,0.0000010730218,0.000017429453,0.00009019035,2.9251444e-7,0.009161316,0.49216565,0.00018766074],"about_ca_topic_score_codex":0.000029529616,"about_ca_topic_score_gemma":0.00005055163,"teacher_disagreement_score":0.49209437,"about_ca_system_score_codex":0.00018027223,"about_ca_system_score_gemma":0.000004203333,"threshold_uncertainty_score":0.6141981},"labels":[],"label_agreement":null},{"id":"W1902797641","doi":"10.1111/j.1540-5982.2011.01647.x","title":"Multinationals, cross-border acquisitions and wage dispersion","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dispersion (optics); Business; Wage; Labour economics; Economics; Physics; Optics","score_opus":0.12221870683759523,"score_gpt":0.22678115021911688,"score_spread":0.10456244338152165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902797641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871599,0.00075041334,0.00022614349,0.0006959083,0.0011485573,0.00015297814,0.0009978362,0.0000061608894,0.008862093],"genre_scores_gemma":[0.9968807,0.00028286155,0.0011673211,0.0005449596,0.00024374801,0.000008334584,0.00002553645,0.000044119883,0.00080239144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787784,0.000026882019,0.0011439847,0.00039092943,0.0000016007497,0.0005587785],"domain_scores_gemma":[0.99735874,0.0000845776,0.00083289406,0.00033951396,0.00017972823,0.0012045422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010839528,0.00023870872,0.0005724512,0.000687136,0.00024505003,0.00016949621,0.00034049156,0.0001934655,0.0020924748],"category_scores_gemma":[0.00026158366,0.00030658577,0.00018965402,0.0001285132,0.00022137543,0.0006987889,0.00003320407,0.0002702164,0.000044397406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025864327,0.000019363219,0.09009605,0.000016528484,0.00008409357,0.0000449246,0.0012102188,0.000102986996,0.0000019931895,0.9074072,0.000049151797,0.00094161846],"study_design_scores_gemma":[0.0010547718,0.00021676341,0.10270767,0.000048750393,0.000020553505,0.0002745124,0.00026641064,0.0021729476,0.000029555229,0.8613617,0.031208538,0.00063787715],"about_ca_topic_score_codex":0.12281799,"about_ca_topic_score_gemma":0.76207817,"teacher_disagreement_score":0.6392602,"about_ca_system_score_codex":0.00082243595,"about_ca_system_score_gemma":0.000393163,"threshold_uncertainty_score":0.9999386},"labels":[],"label_agreement":null},{"id":"W1908431277","doi":"10.1111/j.1540-5982.2011.01651.x","title":"Equilibrium unemployment as a discipline device when finding employment is costly","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Wage; Welfare economics; Economics; Unemployment rate; Econometrics; Sociology; Labour economics; Macroeconomics","score_opus":0.2233282160118372,"score_gpt":0.2185089743289414,"score_spread":0.004819241682895797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1908431277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98182106,0.0006172368,0.00015657271,0.0031696977,0.0021637888,0.0003593873,0.0010668274,0.000012786699,0.010632642],"genre_scores_gemma":[0.9938722,0.000100439676,0.0011626387,0.0022786418,0.0004728382,0.000024308074,0.000027187423,0.00010757392,0.0019541632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958462,0.000050730137,0.0022191433,0.00069042144,0.0000042593324,0.0011892117],"domain_scores_gemma":[0.99498576,0.00010101067,0.0016996571,0.0007655193,0.00018999931,0.002258076],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018120238,0.0004688301,0.0011313081,0.0009860216,0.00018101183,0.0002321149,0.0010605642,0.00027397327,0.003205927],"category_scores_gemma":[0.0002380303,0.000594985,0.00044615564,0.00020139418,0.00017030077,0.00074600027,0.00008981122,0.00047144305,0.0002406576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009750703,0.00005105032,0.10210768,0.000043084423,0.0003550535,0.00018506657,0.0057630856,0.0001940208,0.0000042231723,0.88955843,0.00064963644,0.0009911259],"study_design_scores_gemma":[0.0011580681,0.0005561327,0.006590112,0.0001097977,0.000048140148,0.00028079638,0.00042762695,0.0012321628,0.00017113602,0.94461507,0.043919254,0.0008917234],"about_ca_topic_score_codex":0.25558448,"about_ca_topic_score_gemma":0.81882834,"teacher_disagreement_score":0.56324387,"about_ca_system_score_codex":0.0029108904,"about_ca_system_score_gemma":0.0012319467,"threshold_uncertainty_score":0.9996502},"labels":[],"label_agreement":null},{"id":"W1910360953","doi":"10.3386/w16138","title":"Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; European Commission; London School of Economics and Political Science","keywords":"Openness to experience; Quarter (Canadian coin); Information and Communications Technology; Polarization (electrochemistry); Labour economics; Economics; Demographic economics; Falling (accident); Business; Geography; Political science; Psychology","score_opus":0.23911225693572177,"score_gpt":0.4286961838524237,"score_spread":0.18958392691670192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910360953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95833147,0.0037728276,0.0003779119,0.0030217916,0.0018568621,0.00092260167,0.0065444764,0.00004046157,0.025131604],"genre_scores_gemma":[0.99402946,0.0017794512,0.001225181,0.000111070345,0.0007776752,0.00009655704,0.00064122846,0.0000601073,0.0012792392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99607146,0.00018752561,0.0015821203,0.001182062,0.00039962452,0.0005772372],"domain_scores_gemma":[0.995017,0.0022680222,0.00097225053,0.0009736632,0.00058892387,0.00018012476],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008647446,0.00033436622,0.0010236276,0.00084379665,0.00018710006,0.00050689594,0.0014484734,0.0009220238,0.003064502],"category_scores_gemma":[0.00254155,0.00041264997,0.00035359035,0.00017739894,0.00051702705,0.00040983543,0.0011359808,0.0019448894,0.00062701176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015397626,0.0001065084,0.056104787,0.00011455003,0.0003339724,0.0000053224467,0.00038073893,0.0003498005,0.00012746829,0.940055,0.0021600674,0.000107821004],"study_design_scores_gemma":[0.00062410923,0.000035396497,0.073019944,0.00013754699,0.000009130111,8.022153e-7,0.000012036162,0.007439832,0.000054374832,0.91070396,0.007575322,0.00038754643],"about_ca_topic_score_codex":0.020195652,"about_ca_topic_score_gemma":0.0013941595,"teacher_disagreement_score":0.035698026,"about_ca_system_score_codex":0.0010922756,"about_ca_system_score_gemma":0.001175792,"threshold_uncertainty_score":0.9998325},"labels":[],"label_agreement":null},{"id":"W1911397581","doi":"10.1111/j.1540-5982.2009.01546.x","title":"Do earnings subsidies affect job choice? The impact of SSP subsidies on job turnover and wage growth","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Wage growth; Wage; Earnings; Affect (linguistics); Economics; Duration (music); Earnings growth; Labour economics; Turnover; Psychology","score_opus":0.07666496458945973,"score_gpt":0.20468382441795474,"score_spread":0.128018859828495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911397581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99017406,0.0018306201,0.000016338048,0.0029183947,0.00058072095,0.0002649164,0.0006857658,0.0000061621604,0.003523024],"genre_scores_gemma":[0.99811876,0.00067063374,0.000065146945,0.00041427926,0.00041711133,0.000005527519,0.000008128817,0.000048665235,0.00025175867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970388,0.00009440187,0.001506743,0.0004885813,0.0000041122403,0.0008673819],"domain_scores_gemma":[0.99602234,0.00052579935,0.0016382078,0.0005596887,0.00018605818,0.0010678809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023575642,0.0004365512,0.0012545598,0.0008342362,0.00025569263,0.00021205116,0.0006963221,0.00023442958,0.0001903053],"category_scores_gemma":[0.0011994366,0.00040312627,0.0005453975,0.00022198148,0.00029156017,0.0005091158,0.000029246226,0.00060073973,0.000013439324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073839896,0.000015125364,0.42591515,0.00002340382,0.00023880364,0.00003255174,0.0011622639,0.00095201016,0.0000058118103,0.57070386,0.0002772103,0.0005999411],"study_design_scores_gemma":[0.000756074,0.0008565459,0.6283687,0.00008991545,0.000026557296,0.0001270394,0.00015136153,0.000508509,0.000019839397,0.36758396,0.001064258,0.00044723006],"about_ca_topic_score_codex":0.16441174,"about_ca_topic_score_gemma":0.6938725,"teacher_disagreement_score":0.5294608,"about_ca_system_score_codex":0.0014394016,"about_ca_system_score_gemma":0.0005997135,"threshold_uncertainty_score":0.99984205},"labels":[],"label_agreement":null},{"id":"W192939764","doi":"","title":"Top Incomes in France: booming inequalities?","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Income shares; Economics; Wage; Context (archaeology); Income distribution; Labour economics; Distribution (mathematics); Economic inequality; Gross income; Minimum wage; Income tax; Demographic economics; Inequality; State income tax; Geography; Market economy; Tax reform","score_opus":0.03332849005120203,"score_gpt":0.22929099333973127,"score_spread":0.19596250328852924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W192939764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9141113,0.00058300653,0.003314589,0.00043114086,0.0002862913,0.00009551207,0.00005208643,0.000041758885,0.08108429],"genre_scores_gemma":[0.9920621,0.00025836917,0.0007990619,0.00081172195,0.00007183128,0.000016044261,0.0000086954105,0.000015931593,0.005956238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986745,0.000019088797,0.00067103485,0.00030905896,0.00003525949,0.0002910599],"domain_scores_gemma":[0.9993936,0.0000807836,0.00014791332,0.00030159185,0.00001893844,0.000057175985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006749972,0.00012472666,0.0003675826,0.00021222013,0.000073892355,0.000023127284,0.0001865142,0.00008973556,0.0005289533],"category_scores_gemma":[0.0001441884,0.00013723489,0.00007339037,0.00032493714,0.00004763489,0.00022494052,0.0000677893,0.00014846397,0.00017636962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002531416,0.000033612803,0.6121651,0.000009997792,0.000005093429,0.000011926205,0.00034758734,0.000019206102,0.0000022537934,0.38715145,0.000056426557,0.00019485189],"study_design_scores_gemma":[0.0010695421,0.000034713135,0.7155109,0.0000140113225,8.7926173e-7,0.000008396769,0.00014260659,0.006718643,0.00002929957,0.23298633,0.04299747,0.00048717894],"about_ca_topic_score_codex":0.0024915333,"about_ca_topic_score_gemma":0.00013487367,"teacher_disagreement_score":0.15416512,"about_ca_system_score_codex":0.000075955504,"about_ca_system_score_gemma":0.000019636665,"threshold_uncertainty_score":0.57916677},"labels":[],"label_agreement":null},{"id":"W1933001269","doi":"10.1111/j.1540-5982.2010.01595.x","title":"Trade theorems with search unemployment","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Matching (statistics); Capital (architecture); General equilibrium theory; Production (economics); Mathematical economics; Econometrics; Microeconomics; Macroeconomics; Mathematics","score_opus":0.09801682307922599,"score_gpt":0.1860331027354852,"score_spread":0.08801627965625922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933001269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573774,0.00016239719,0.00019385535,0.004557538,0.001822454,0.00024051235,0.00060580263,0.00000847123,0.006671215],"genre_scores_gemma":[0.9972112,0.00007062715,0.0009639406,0.00065772457,0.0006154381,0.0000107106025,0.000017682361,0.000080312915,0.0003723336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973082,0.00003404402,0.001256574,0.00047278954,0.000002540856,0.0009258428],"domain_scores_gemma":[0.9964151,0.00012287937,0.0007969487,0.00063930417,0.0001048503,0.001920952],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019550256,0.000324248,0.000814646,0.0007735952,0.00019678925,0.0002508657,0.00080022344,0.00024287298,0.0008523401],"category_scores_gemma":[0.00014944984,0.000359656,0.00024054003,0.00020258733,0.0002906322,0.00045578068,0.000022511875,0.0008383466,0.000045598612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051012794,0.00002006697,0.05371695,0.000019015934,0.00013821198,0.000106471634,0.0007240597,0.0010543818,0.000011804853,0.9431746,0.00008827568,0.00089513353],"study_design_scores_gemma":[0.00145484,0.0005695186,0.012346361,0.00004859114,0.00002585963,0.0006516785,0.00032886307,0.0027980977,0.000114314804,0.9147268,0.066071734,0.00086334755],"about_ca_topic_score_codex":0.10397537,"about_ca_topic_score_gemma":0.9398982,"teacher_disagreement_score":0.83592284,"about_ca_system_score_codex":0.00093873026,"about_ca_system_score_gemma":0.0012602726,"threshold_uncertainty_score":0.99988556},"labels":[],"label_agreement":null},{"id":"W1933290324","doi":"","title":"Productivity Gains from Worker Mobility and Their Distribution between Workers and Firms","year":2012,"lang":"en","type":"article","venue":"RePub (Erasmus University Rotterdam)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Productivity; Rest (music); Labour economics; Externality; Distribution (mathematics); Danish; Business; Manufacturing sector; Economics; Demographic economics; Microeconomics; Economic growth","score_opus":0.025044928471284353,"score_gpt":0.20250556997299923,"score_spread":0.17746064150171487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933290324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903569,0.0005231712,0.0047745747,0.00084758503,0.0001986443,0.00027224465,0.0020065363,0.000055000426,0.0009653014],"genre_scores_gemma":[0.99890023,0.00013287854,0.00017079606,0.00003813448,0.00019112854,0.0000015299479,0.00018879019,0.000013204372,0.00036330207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986362,0.00008677559,0.00027228743,0.00057364284,0.000041839958,0.00038925247],"domain_scores_gemma":[0.9988914,0.00015683324,0.00021800636,0.00047895723,0.00003545401,0.00021935788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838843,0.0002109087,0.0004071865,0.000075799275,0.00026040213,0.00006954193,0.00014785255,0.00015743544,0.00006125214],"category_scores_gemma":[0.0001022267,0.000226587,0.00007948422,0.00025418765,0.00016263957,0.0006301097,0.00024598467,0.00023465794,0.000011945928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004381555,0.00009884902,0.9902689,0.000014826054,0.000096571464,0.0000016372692,0.00058680115,0.000002833276,0.000011425607,0.004980819,0.0001211413,0.0037723852],"study_design_scores_gemma":[0.0005469009,0.00002131873,0.9648658,0.000014812872,0.000018824581,0.0000013038836,0.00026496736,0.0002217738,0.000025515132,0.009007745,0.024717227,0.00029378993],"about_ca_topic_score_codex":0.0017787766,"about_ca_topic_score_gemma":0.00006416311,"teacher_disagreement_score":0.025403075,"about_ca_system_score_codex":0.00022673458,"about_ca_system_score_gemma":0.000014764135,"threshold_uncertainty_score":0.92399496},"labels":[],"label_agreement":null},{"id":"W1937511656","doi":"10.1111/j.1540-5982.2011.01674.x","title":"Lost in transition: the costs and consequences of sectoral labour adjustment","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Commodity; Productivity; Matching (statistics); Unemployment; Aggregate (composite); Labour economics; Macroeconomics; Market economy","score_opus":0.12989798273179315,"score_gpt":0.18297919004450308,"score_spread":0.05308120731270993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1937511656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99268794,0.0014192037,0.000036723563,0.0015572582,0.0007697497,0.0001959542,0.0007638304,0.0000014917234,0.0025678235],"genre_scores_gemma":[0.99852633,0.00045903344,0.00022557004,0.00053825637,0.00013701111,0.000006213634,0.0000045902275,0.00002153437,0.00008147045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807274,0.000053163076,0.0011898945,0.0002561899,0.0000016548202,0.00042633794],"domain_scores_gemma":[0.9981782,0.00009416435,0.00081027223,0.00027329024,0.00009108085,0.000552984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013227282,0.00018635103,0.000618298,0.0004823299,0.00006639504,0.000045141544,0.00038535093,0.00013067633,0.00051274337],"category_scores_gemma":[0.00010659075,0.00019535159,0.00012792296,0.00014739939,0.00035080654,0.00030181772,0.000014108256,0.00025886172,0.0000073334586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047159578,0.000015006791,0.06699965,0.000031650547,0.00006959184,0.00004679778,0.0026169904,0.000154587,0.0000042361985,0.92951095,0.000019307412,0.0004840643],"study_design_scores_gemma":[0.0010437189,0.00034721542,0.098337255,0.00010152053,0.000018422435,0.00024047743,0.0011612675,0.0005592074,0.00009872387,0.89526,0.0024373797,0.00039485988],"about_ca_topic_score_codex":0.3686049,"about_ca_topic_score_gemma":0.9493818,"teacher_disagreement_score":0.58077693,"about_ca_system_score_codex":0.0008768129,"about_ca_system_score_gemma":0.00059105933,"threshold_uncertainty_score":0.79662067},"labels":[],"label_agreement":null},{"id":"W1942462748","doi":"10.1186/s40175-015-0034-6","title":"Under-provision of private training by MENA firms: what to Do about It?","year":2015,"lang":"en","type":"article","venue":"IZA Journal of Labor & Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Southern California; World Bank Group","keywords":"Business; Training (meteorology); Geography","score_opus":0.054473690403204704,"score_gpt":0.2659833935212063,"score_spread":0.2115097031180016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942462748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801169,0.0050168848,0.009535047,0.0031646474,0.0009997634,0.00015512154,0.00006717915,0.0000074477475,0.00093700405],"genre_scores_gemma":[0.9840126,0.0015072549,0.013040707,0.0011147897,0.00007747468,0.0000043995233,0.000008032097,0.000028304277,0.00020640777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997508,0.00003923039,0.0016709768,0.00025207765,0.00020560245,0.00032412045],"domain_scores_gemma":[0.9978792,0.00007551045,0.00113895,0.00023122104,0.00034768356,0.00032740374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030415757,0.0001946593,0.0006295213,0.0002727467,0.000058611044,0.00017982106,0.00042313704,0.00009510908,0.00009092779],"category_scores_gemma":[0.00030674392,0.00018389516,0.00008834239,0.0004065556,0.000030826992,0.00057221885,0.000113876566,0.00019248624,0.00003150488],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013485444,0.0017120958,0.12178695,0.00042809782,0.0018312688,0.00014936102,0.11622916,0.003786484,0.0018763174,0.39392325,0.018160213,0.33876824],"study_design_scores_gemma":[0.005142257,0.00087345747,0.06924687,0.001474143,0.000034629422,0.000042967695,0.008901204,0.0002955272,0.0034487213,0.12988938,0.7792797,0.0013711379],"about_ca_topic_score_codex":0.0000188869,"about_ca_topic_score_gemma":0.000011368911,"teacher_disagreement_score":0.7611195,"about_ca_system_score_codex":0.0003226878,"about_ca_system_score_gemma":0.00030112403,"threshold_uncertainty_score":0.7499027},"labels":[],"label_agreement":null},{"id":"W1947406401","doi":"10.1016/j.euroecorev.2013.10.002","title":"The contributions of search and human capital to earnings growth over the life cycle","year":2013,"lang":"en","type":"article","venue":"European Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Earnings; Earnings growth; Human capital; Monetary economics; Business cycle; Growth model; Macroeconomics; Finance; Market economy","score_opus":0.019108172240558146,"score_gpt":0.2483198141929296,"score_spread":0.22921164195237145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947406401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9479675,0.021536745,0.00006415808,0.0068971994,0.0001354997,0.0006785675,0.0001697318,0.000014381194,0.022536201],"genre_scores_gemma":[0.97933036,0.01848014,0.000018424313,0.001439328,0.00009010788,0.000024506307,0.000008161013,0.0000236133,0.0005853556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984737,0.00017705659,0.00080212374,0.0002760366,0.000024595545,0.0002464809],"domain_scores_gemma":[0.9988979,0.0001637945,0.00028215972,0.00047413248,0.000052580705,0.00012944988],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029963208,0.00012747735,0.00036661694,0.000036170128,0.0002774513,0.0001410792,0.0004209752,0.000018979603,0.00042300753],"category_scores_gemma":[0.0003824278,0.000088824745,0.00011383892,0.00008419442,0.00012928224,0.0001367996,0.0002316715,0.00015718544,0.0012884581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025764514,0.000023883322,0.019933952,0.00019876058,0.000095946256,7.246719e-7,0.00023937174,0.000019606932,0.00001228923,0.97122884,0.0057091727,0.0025348538],"study_design_scores_gemma":[0.0004219045,0.000089701054,0.7850057,0.00022564534,0.000023822597,0.000003852998,0.000046216912,0.00036445717,0.000006028125,0.020719359,0.19274278,0.00035056734],"about_ca_topic_score_codex":0.0009519766,"about_ca_topic_score_gemma":0.000026620868,"teacher_disagreement_score":0.9505095,"about_ca_system_score_codex":0.000050099865,"about_ca_system_score_gemma":0.000017327855,"threshold_uncertainty_score":0.9994891},"labels":[],"label_agreement":null},{"id":"W1949634154","doi":"10.7202/027614ar","title":"The Assessment of Long-Term Manpower Requirements","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Extrapolation; Demand forecasting; Operations research; Manpower planning; Operations management; Actuarial science; Computer science; Economics; Engineering; Statistics; Mathematics","score_opus":0.04641862313671984,"score_gpt":0.28851532115706113,"score_spread":0.24209669802034128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1949634154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88457775,0.0008869043,0.0071022706,0.004089045,0.00032399184,0.00023062133,0.00011703223,0.000022806404,0.10264956],"genre_scores_gemma":[0.99291086,0.00031905895,0.0005635588,0.000043821605,0.00007727043,0.000012419529,0.000021021622,0.00001072349,0.006041271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896413,0.000022860553,0.0006193592,0.00017259104,0.000054116757,0.00016696821],"domain_scores_gemma":[0.99906147,0.00013410141,0.0003500054,0.00036971434,0.00004641577,0.00003830471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074843096,0.00008640251,0.00015356805,0.0000758566,0.00021616882,0.000047751095,0.00020522917,0.000117730175,0.00042364132],"category_scores_gemma":[0.00010325583,0.00007543709,0.00006931374,0.00022496826,0.00007115421,0.00015331022,0.000059316742,0.00019657491,0.00007288099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017821262,0.00005879184,0.5105318,9.700015e-7,0.000041599535,4.3493117e-7,0.000041260006,0.00019190271,0.0000024974693,0.4820043,0.00046019882,0.0066644615],"study_design_scores_gemma":[0.00048153294,0.000033282504,0.88796586,0.000021188478,0.00001160952,0.0000012564029,0.000048765338,0.00417139,0.000035355402,0.019527402,0.0875052,0.00019717013],"about_ca_topic_score_codex":0.0000233809,"about_ca_topic_score_gemma":0.000028073013,"teacher_disagreement_score":0.4624769,"about_ca_system_score_codex":0.000115293005,"about_ca_system_score_gemma":0.000042848926,"threshold_uncertainty_score":0.46385753},"labels":[],"label_agreement":null},{"id":"W1952769179","doi":"","title":"The State of STEM Labour Markets in Canada - Literature Review","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; State (computer science); Political science; Business; Computer science","score_opus":0.026339808246912753,"score_gpt":0.26898444134060623,"score_spread":0.24264463309369347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952769179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83978873,0.12044893,0.0000012110547,0.0013056548,0.0012037187,0.0013286482,0.003013414,0.000009516585,0.03290016],"genre_scores_gemma":[0.5537153,0.44409147,0.000033619468,0.00015732771,0.000056256427,0.00013107095,0.00004994634,0.00004193532,0.0017230663],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9953545,0.0004251461,0.0021668181,0.0008337218,0.00014435407,0.0010754844],"domain_scores_gemma":[0.99618906,0.0009023906,0.0009394695,0.0016164264,0.00015774099,0.00019489336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009778007,0.00036544655,0.0012112262,0.00034180138,0.00009905547,0.00014205983,0.0012670474,0.00024384401,0.00007676256],"category_scores_gemma":[0.00050455396,0.00034978072,0.00019358935,0.00043462872,0.0001414641,0.0001371173,0.0010785725,0.0021324242,0.00000582119],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035192122,0.00034451272,0.35089764,0.014047047,0.00043074574,0.00016683101,0.0007993804,0.0021132652,0.0000024597823,0.08811354,0.00040200894,0.5423306],"study_design_scores_gemma":[0.0020419008,0.00006432906,0.4843651,0.012758471,0.000015482394,0.000017859144,0.00033541303,0.008003176,0.000018233763,0.16389966,0.32624632,0.0022340307],"about_ca_topic_score_codex":0.17981865,"about_ca_topic_score_gemma":0.61794156,"teacher_disagreement_score":0.54009664,"about_ca_system_score_codex":0.0029507864,"about_ca_system_score_gemma":0.0014597764,"threshold_uncertainty_score":0.9998954},"labels":[],"label_agreement":null},{"id":"W1955750586","doi":"","title":"Multiple Job Holding in Canada and Education: Evidence from the Canadian Labour Force Survey","year":2015,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Current Population Survey; Political science; Demographic economics; Economics; Sociology; Demography","score_opus":0.13473043797499337,"score_gpt":0.27639282727623854,"score_spread":0.14166238930124517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955750586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198174,0.00039752803,0.000028141845,0.0029710878,0.00011490173,0.00013761644,0.0006526872,0.0000020863026,0.0037141826],"genre_scores_gemma":[0.9980627,0.0001633428,0.0001681808,0.00006909515,0.000020155687,4.906026e-7,0.000019872787,0.0000051877914,0.001490986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990429,0.00018055867,0.00014394753,0.00023949727,0.000116231524,0.00027684198],"domain_scores_gemma":[0.99843603,0.0007162119,0.000078462625,0.00028900467,0.00023011303,0.00025016675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036882157,0.000058983514,0.00016258392,0.00017350423,0.00021656425,0.000049405513,0.00045806466,0.00004864244,0.00008396368],"category_scores_gemma":[0.0016799268,0.00006828164,0.000016395954,0.0005065684,0.00010205448,0.0002360443,0.00012848235,0.00023526138,0.000009612887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036599774,0.0000071049176,0.9712971,0.0000068435684,0.000007759631,0.0000065337053,0.00040625245,0.000020631123,0.0000012784681,0.02653303,0.0012679287,0.00044186617],"study_design_scores_gemma":[0.00020861409,0.000011048299,0.9797548,0.000021575423,6.3656233e-7,2.8724037e-7,0.0012452877,0.0016638566,0.0000011122825,0.008181836,0.008832576,0.000078372155],"about_ca_topic_score_codex":0.99986506,"about_ca_topic_score_gemma":0.9999875,"teacher_disagreement_score":0.018351194,"about_ca_system_score_codex":0.0011872402,"about_ca_system_score_gemma":0.0029232653,"threshold_uncertainty_score":0.5185747},"labels":[],"label_agreement":null},{"id":"W1956662453","doi":"10.3968/j.css.1923669720080403.012","title":"The Impact of Social Security in Labour Market: Evidence from France","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social security; Unemployment; Welfare economics; Political science; Economics; Economic growth; Market economy","score_opus":0.014273273222276773,"score_gpt":0.2553543425117117,"score_spread":0.2410810692894349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956662453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96048707,0.0001659119,0.00000839362,0.0009141364,0.00044677095,0.00010795708,0.0008267748,0.000005432276,0.037037577],"genre_scores_gemma":[0.99946463,0.00003135259,0.000023343646,0.00011609265,0.00017950316,0.000007002522,0.000001538238,0.0000072343773,0.00016927707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998642,0.000030682182,0.00037975717,0.0003334027,0.00008724423,0.00052687206],"domain_scores_gemma":[0.99909425,0.00014725073,0.00023684785,0.00023197576,0.00009932067,0.00019033099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022764155,0.00010471343,0.00023336135,0.00013426361,0.000607815,0.0001543065,0.0008464364,0.00011416585,0.000518767],"category_scores_gemma":[0.00088687596,0.000096858545,0.000105684485,0.0010649038,0.00075994624,0.0003313393,0.000057336627,0.0003233644,0.000021210411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074167206,0.00001254868,0.66669095,0.0000032038931,0.000006383185,0.0000026498988,0.0020226997,4.7364716e-7,0.00024518545,0.32954177,0.0002495737,0.001217136],"study_design_scores_gemma":[0.0000972813,0.0000075055636,0.8974948,0.0000042329402,6.1938533e-7,1.3792737e-7,0.00011259752,0.0005751927,0.0000094892775,0.09789735,0.0036739476,0.00012688154],"about_ca_topic_score_codex":0.30570686,"about_ca_topic_score_gemma":0.2027175,"teacher_disagreement_score":0.23164442,"about_ca_system_score_codex":0.00039470464,"about_ca_system_score_gemma":0.0005905674,"threshold_uncertainty_score":0.8118308},"labels":[],"label_agreement":null},{"id":"W1963494749","doi":"10.1111/j.1530-9134.2008.00187.x","title":"<scp>Covenants not to Compete, Labor Mobility, and Industry Dynamics</scp>","year":2008,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overtaking; Dominance (genetics); Covenant; Silicon valley; Industrial organization; Microeconomics; Affect (linguistics); Economics; Business; Labour economics; Engineering; Finance; Transport engineering; Sociology; Political science; Law","score_opus":0.03707655275559988,"score_gpt":0.24599778798270194,"score_spread":0.20892123522710207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963494749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971425,0.00023299076,0.00059710414,0.00072940893,0.0005874831,0.00027530265,0.00036998518,0.000013863403,0.02576886],"genre_scores_gemma":[0.9933611,0.0017899575,0.0013406342,0.0009402736,0.00016648584,0.00000658884,0.000009684875,0.00003875878,0.0023464789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974113,0.000034834633,0.001579422,0.0004604987,0.00005632136,0.00045759758],"domain_scores_gemma":[0.9978794,0.00014264119,0.0011158052,0.00043360877,0.000102539,0.00032600344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014666729,0.0002886134,0.00077612215,0.00050414057,0.0001548108,0.00017903301,0.00051487755,0.00022077687,0.00006841892],"category_scores_gemma":[0.00010781166,0.0003246739,0.00017516979,0.000260523,0.00009538774,0.0005181364,0.00025619805,0.0005086567,0.000058054913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037148493,0.00030614092,0.17248239,0.00009554166,0.00037195729,0.00012352497,0.00022270213,0.0046118144,0.000003562511,0.81945497,0.0010132339,0.001276995],"study_design_scores_gemma":[0.002157064,0.00046923535,0.75725514,0.00005666603,0.00004518118,0.00012661067,0.0008750584,0.007842237,0.00002211817,0.20957047,0.021200256,0.00037998],"about_ca_topic_score_codex":0.00009679096,"about_ca_topic_score_gemma":0.00008576212,"teacher_disagreement_score":0.6098845,"about_ca_system_score_codex":0.0003298116,"about_ca_system_score_gemma":0.000053177562,"threshold_uncertainty_score":0.99992055},"labels":[],"label_agreement":null},{"id":"W1966193889","doi":"10.2307/3552350","title":"Comparable Worth and Pay Equity: Recent Developments in the United States","year":2002,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pay Equity; Equity (law); Economics; Actuarial science; Public economics; Political science; Labour economics; Law","score_opus":0.09154377427730423,"score_gpt":0.2611234400328727,"score_spread":0.16957966575556846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966193889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7755146,0.00085648097,0.00003854722,0.08745691,0.00017589555,0.00028988984,0.0006877104,0.000022400227,0.13495755],"genre_scores_gemma":[0.9857162,0.0018654673,0.0000445668,0.011258526,0.000049713173,0.000018761764,0.00011621264,0.000012102367,0.0009184194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870867,0.00004301437,0.0003669585,0.00023884731,0.00003957736,0.0006029316],"domain_scores_gemma":[0.9992076,0.000050846138,0.00010049009,0.00027000232,0.0000345019,0.00033654767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009127326,0.00011965962,0.00019970359,0.00083502603,0.00016267388,0.00030044047,0.0003308561,0.000064484426,0.0003338157],"category_scores_gemma":[0.00026668608,0.00009999627,0.000019772153,0.0013894385,0.000060568243,0.00016040815,0.000056134926,0.0001717819,0.00007659365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.174802e-7,0.00003059375,0.17825003,0.000008822359,0.000017541815,0.000010149617,0.00079414126,0.000008200714,3.517632e-8,0.80377996,0.0044095903,0.012690016],"study_design_scores_gemma":[0.00024895425,0.000007702926,0.13913079,0.000004002683,7.000318e-7,0.0000034561206,0.00006871551,0.0027962013,8.411985e-8,0.050461896,0.80712247,0.00015504437],"about_ca_topic_score_codex":0.34492302,"about_ca_topic_score_gemma":0.31299034,"teacher_disagreement_score":0.80271286,"about_ca_system_score_codex":0.0005070649,"about_ca_system_score_gemma":0.00022717427,"threshold_uncertainty_score":0.6995458},"labels":[],"label_agreement":null},{"id":"W1966905321","doi":"10.1007/s00181-012-0608-y","title":"Generalized measures of wage differentials","year":2012,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for International Peace and Security","funders":"","keywords":"Economics; Wage; Wage dispersion; Disadvantage; Econometrics; Inequality; Distribution (mathematics); Wage inequality; Compensating differential; Dispersion (optics); Risk aversion (psychology); Labour economics; Efficiency wage; Expected utility hypothesis; Wage share; Mathematics; Financial economics","score_opus":0.11699227436937486,"score_gpt":0.28470677871848843,"score_spread":0.16771450434911356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966905321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98355156,0.0008496877,0.0022860547,0.0006328026,0.0008168385,0.00012960483,0.0003202457,0.00002947553,0.011383704],"genre_scores_gemma":[0.9973623,0.0002963569,0.001072759,0.0005405648,0.0002782737,0.000012771253,0.000028687247,0.000031355266,0.0003768958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821764,0.000042301173,0.0010032991,0.00028735853,0.000026245858,0.0004231745],"domain_scores_gemma":[0.99876857,0.00010013241,0.00046748217,0.00044497792,0.000029227429,0.00018963547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010898556,0.00018269247,0.0006573312,0.00012747826,0.0000544306,0.000036986505,0.00026338897,0.0001509023,0.000625063],"category_scores_gemma":[0.00017472696,0.00019585987,0.00023560323,0.00011506649,0.00007593897,0.0002470856,0.00010633869,0.00012116081,0.00019815007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022516164,0.00017570355,0.3361235,0.000014020455,0.000073769916,2.0947603e-7,0.00019158535,0.000038375692,0.000028332921,0.66229564,0.00031254452,0.0007238059],"study_design_scores_gemma":[0.0016880638,0.0000795507,0.38083035,0.000010706644,0.000029989642,0.000004286287,0.00003746182,0.0023662522,0.0009173452,0.39727646,0.21585618,0.0009033546],"about_ca_topic_score_codex":0.00015653814,"about_ca_topic_score_gemma":0.000018458957,"teacher_disagreement_score":0.26501918,"about_ca_system_score_codex":0.00010555897,"about_ca_system_score_gemma":0.000019013614,"threshold_uncertainty_score":0.79869336},"labels":[],"label_agreement":null},{"id":"W1969712326","doi":"10.7202/050225ar","title":"Secular Changes in Youth Labour Markets and Youth Unemployment in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Youth unemployment; Unemployment; Secular variation; Economics; Labour economics; Demographic economics; Sociology; Demography; Economic growth","score_opus":0.026885993110700963,"score_gpt":0.20156752746674872,"score_spread":0.17468153435604775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969712326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897738,0.0012627192,0.000025086334,0.003042705,0.00009080766,0.00016264713,0.0009291013,0.000008643062,0.0047044866],"genre_scores_gemma":[0.99859196,0.00042165178,0.00008970051,0.00018816658,0.00004232133,0.000008215058,0.00008346914,0.000013246361,0.00056126225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897903,0.000033694887,0.0004373784,0.00026775507,0.000043237495,0.00023890854],"domain_scores_gemma":[0.99954593,0.00005358675,0.00013393348,0.00018823314,0.000014734475,0.000063585634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005085147,0.0001195095,0.00022319253,0.00022032142,0.000051089104,0.000029873605,0.000094879324,0.00013006307,0.00014491419],"category_scores_gemma":[0.00010528978,0.00014107769,0.00001677217,0.0004153413,0.000019953612,0.00009600813,0.000050717354,0.00026865432,0.000007994497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009338906,0.00004828376,0.9205978,0.0000024207516,0.000015207951,0.0000052550095,0.002174984,0.0012994723,4.0142245e-7,0.07270801,0.000063195155,0.0030756374],"study_design_scores_gemma":[0.0017132717,0.000024261575,0.9468312,0.00008445776,0.000010209976,0.0000022055933,0.0065043233,0.010151039,0.000018549941,0.008740144,0.025312336,0.0006079905],"about_ca_topic_score_codex":0.6142937,"about_ca_topic_score_gemma":0.8502575,"teacher_disagreement_score":0.23596382,"about_ca_system_score_codex":0.00056359015,"about_ca_system_score_gemma":0.00014266472,"threshold_uncertainty_score":0.57529813},"labels":[],"label_agreement":null},{"id":"W1970667225","doi":"10.1111/j.1475-4932.2007.00391.x","title":"Does Unemployment Hysteresis Equal Employment Hysteresis?*","year":2007,"lang":"en","type":"article","venue":"Economic Record","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hysteresis; Unemployment; Economics; Unemployment rate; Labour economics; Unit (ring theory); Demographic economics; Macroeconomics; Psychology; Physics","score_opus":0.02910532375408083,"score_gpt":0.250501815630721,"score_spread":0.22139649187664015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970667225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473158,0.00021012433,0.0053324485,0.00093750696,0.0044618724,0.00041557144,0.00040796644,0.00012418916,0.04079449],"genre_scores_gemma":[0.98962116,0.00013599302,0.00113109,0.0005612349,0.00060833304,0.000036953945,0.000038682665,0.000074738105,0.0077918353],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.996384,0.00003911039,0.0018114144,0.00091815554,0.00005359875,0.0007937144],"domain_scores_gemma":[0.9978592,0.00021804965,0.0007480469,0.00088388886,0.000026077912,0.00026473805],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024671499,0.00037137492,0.00075868075,0.0003101935,0.00015681193,0.00019106107,0.0005280449,0.00018676536,0.0024905195],"category_scores_gemma":[0.00005895964,0.00032403457,0.00029915787,0.00012380842,0.000070906004,0.0003317837,0.00019429735,0.00020566296,0.0023439832],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018526858,0.0002365306,0.5787794,0.00006982416,0.00029212018,0.000029149305,0.0003604145,0.000051331608,0.00003919624,0.38942075,0.002085934,0.028450092],"study_design_scores_gemma":[0.0025514443,0.00034813554,0.15970828,0.00006761986,0.000031655116,0.000006783996,0.00031572464,0.001702944,0.0006293056,0.31663924,0.5160565,0.0019424199],"about_ca_topic_score_codex":0.0018479574,"about_ca_topic_score_gemma":0.0024694074,"teacher_disagreement_score":0.5139705,"about_ca_system_score_codex":0.00079813343,"about_ca_system_score_gemma":0.00003844631,"threshold_uncertainty_score":0.99992114},"labels":[],"label_agreement":null},{"id":"W1971121664","doi":"10.1057/palgrave.elmr.1410056","title":"Measuring low pay: the importance of timing","year":2007,"lang":"en","type":"article","venue":"Economic & Labour Market Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Wage; Demographic economics; Affect (linguistics); Labour economics; Econometrics; Survey data collection; Geography; Statistics; Mathematics; Psychology","score_opus":0.04056097078385116,"score_gpt":0.2520444719416714,"score_spread":0.21148350115782025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971121664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6714913,0.1579962,0.0015138994,0.006541954,0.0018562486,0.0014002562,0.00058571633,0.000090012,0.1585244],"genre_scores_gemma":[0.93273765,0.06038962,0.00053957704,0.002763759,0.00027415203,0.000031146246,0.000013501147,0.000056153724,0.003194427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970556,0.00006630951,0.001851041,0.0004986821,0.000052233518,0.0004761276],"domain_scores_gemma":[0.9973104,0.00031622374,0.0012768853,0.0009350814,0.000051325085,0.00011006162],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010476617,0.00025427347,0.0009028831,0.000095495096,0.00011447781,0.000049004822,0.00061565096,0.00008797012,0.0036000784],"category_scores_gemma":[0.00042643686,0.00017928185,0.0003089299,0.00022998312,0.000092966846,0.00022109886,0.00014629433,0.00025820857,0.00023176287],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050517596,0.00010414792,0.41040015,0.0037916324,0.0002547748,0.000015938645,0.00011470967,0.000014525583,0.000007880442,0.5375196,0.004493359,0.04323281],"study_design_scores_gemma":[0.00063052034,0.00003776104,0.28024918,0.0015064048,0.000045795197,0.000021476435,0.000037881477,0.0005868269,0.00006418189,0.07435207,0.6416517,0.00081621006],"about_ca_topic_score_codex":0.00019538609,"about_ca_topic_score_gemma":0.00023040934,"teacher_disagreement_score":0.63715833,"about_ca_system_score_codex":0.00023772384,"about_ca_system_score_gemma":0.00006021289,"threshold_uncertainty_score":0.99731076},"labels":[],"label_agreement":null},{"id":"W1971510606","doi":"10.1007/s001810000022","title":"Institutional specifics and unemployment insurance eligibility in Canada: How sensitive are employment duration effects?","year":2000,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Entitlement (fair division); Unemployment; Duration (music); Economics; Hazard; Jump; Demographic economics; Econometrics; Labour economics; Actuarial science; Macroeconomics; Microeconomics","score_opus":0.026477161357425866,"score_gpt":0.23452396270266967,"score_spread":0.2080468013452438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971510606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991047,0.0002862539,0.00017221548,0.004796356,0.0003224141,0.00032318276,0.0006045369,0.000017176832,0.002430818],"genre_scores_gemma":[0.9972349,0.00094271376,0.0002081078,0.0012804777,0.00008944587,0.000025568173,0.00004280623,0.000017547522,0.00015843907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819815,0.000050842085,0.00073054543,0.0006417113,0.00004323726,0.00033549982],"domain_scores_gemma":[0.99909824,0.00015735858,0.00025663464,0.00031018292,0.000027735716,0.00014984171],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052575103,0.00022610067,0.0005243589,0.00008182667,0.00010676146,0.00009550161,0.0001244563,0.000103631945,0.000102227714],"category_scores_gemma":[0.00010856033,0.00026602467,0.000062370746,0.00015841553,0.00008666895,0.00025764338,0.000051785133,0.00021616918,0.00003451596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006512894,0.00010667688,0.9573308,0.00003082899,0.00003090945,0.000024949823,0.000111190355,0.0019071051,0.0000010899204,0.036005195,0.00017876741,0.0042073503],"study_design_scores_gemma":[0.00074954506,0.000031598756,0.9492766,0.00001769326,0.0000024863098,0.0000056337562,0.000030466892,0.008786943,0.000034392382,0.024686892,0.016037049,0.0003406583],"about_ca_topic_score_codex":0.1284211,"about_ca_topic_score_gemma":0.50855666,"teacher_disagreement_score":0.38013557,"about_ca_system_score_codex":0.0019089829,"about_ca_system_score_gemma":0.0002539586,"threshold_uncertainty_score":0.9999792},"labels":[],"label_agreement":null},{"id":"W1972050323","doi":"10.1111/j.1121-7081.2004.00274.x","title":"Discriminatory Barriers and the Gender Wage Gap in France","year":2004,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Labour economics; Quarter (Canadian coin); Demographic economics; Educational attainment; Affect (linguistics); Survey data collection; Psychology; Geography","score_opus":0.01937354733864496,"score_gpt":0.2146684080448654,"score_spread":0.19529486070622043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972050323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838697,0.0025005613,0.0005216173,0.002068834,0.00023847364,0.00013351903,0.000109247005,0.000014404318,0.01054365],"genre_scores_gemma":[0.997476,0.00037728233,0.00014493371,0.0013779503,0.00004110737,0.000018871602,0.0000022388924,0.000013626566,0.00054799416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991631,0.000025281544,0.00031223983,0.00025278496,0.00002819447,0.00021841169],"domain_scores_gemma":[0.99951607,0.00004248197,0.000104240586,0.00025949796,0.000011729241,0.00006598691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009199099,0.000102200014,0.00023415204,0.000060850238,0.000081250095,0.000054891836,0.00016132457,0.00006309672,0.000113237365],"category_scores_gemma":[0.00015800276,0.00008395114,0.000046002653,0.000167014,0.00012872738,0.0001198093,0.000056601875,0.00016454671,0.000031202875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010535003,0.0000122174915,0.08746336,0.000016455935,0.00000910885,0.0000061425217,0.0010651966,0.00005452223,0.0000019840318,0.9112252,0.000006369508,0.00012892736],"study_design_scores_gemma":[0.0016264418,0.0000056433073,0.3198207,0.000006101497,0.0000015850454,0.0000012271206,0.00015472605,0.00017890325,0.0000046630907,0.673693,0.004383699,0.00012326808],"about_ca_topic_score_codex":0.0009812678,"about_ca_topic_score_gemma":0.0001325088,"teacher_disagreement_score":0.23753215,"about_ca_system_score_codex":0.000051453113,"about_ca_system_score_gemma":0.000018606232,"threshold_uncertainty_score":0.34234282},"labels":[],"label_agreement":null},{"id":"W1972929648","doi":"10.1007/s12122-013-9158-0","title":"Earnings Inequality Among Aboriginal Groups in Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earnings; Disadvantage; Distribution (mathematics); Workforce; Census; Demographic economics; Inequality; Population; Economics; Labour economics; Demography; Political science; Sociology; Economic growth; Accounting","score_opus":0.041855625478081436,"score_gpt":0.30667132110632267,"score_spread":0.26481569562824125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972929648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936637,0.0004033293,0.000061206556,0.0021632193,0.0003269499,0.00016204143,0.000057023346,0.000003086154,0.003159437],"genre_scores_gemma":[0.9988204,0.0003183295,0.00020151833,0.00012354537,0.00017299238,0.000010683309,0.0000022312847,0.000018351946,0.0003319324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973651,0.00022865803,0.0012859826,0.00022947125,0.00031628646,0.00057450996],"domain_scores_gemma":[0.99783707,0.00036417574,0.000588037,0.00028333845,0.0006792719,0.00024813606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006924263,0.000122006066,0.0004948508,0.00050150085,0.0000816623,0.00014235143,0.00054346333,0.00007775184,0.0010345363],"category_scores_gemma":[0.00092677044,0.00011674494,0.000074142095,0.0010314654,0.00008434298,0.0005604943,0.0000710909,0.0011397862,0.000059848273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026197868,0.00006334841,0.95274293,0.000030556643,0.000022365835,0.000076152246,0.00021885127,0.000045033237,0.000024436562,0.04536114,0.00095869997,0.00043025942],"study_design_scores_gemma":[0.0005242754,0.00007380632,0.9450293,0.000035416866,9.301852e-7,0.000005596511,0.00032520256,0.0007104961,0.000014886537,0.043236587,0.009908705,0.00013478036],"about_ca_topic_score_codex":0.90503395,"about_ca_topic_score_gemma":0.60015625,"teacher_disagreement_score":0.30487764,"about_ca_system_score_codex":0.0012063693,"about_ca_system_score_gemma":0.0010201526,"threshold_uncertainty_score":0.99987864},"labels":[],"label_agreement":null},{"id":"W197363390","doi":"10.7202/028686ar","title":"A Comparison of Wage Determination Methods in the Americas","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Econometrics; Labour economics","score_opus":0.09459075942823686,"score_gpt":0.37055688175774537,"score_spread":0.2759661223295085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W197363390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.895258,0.00075442257,0.06228586,0.0029972615,0.00008798425,0.00021405237,0.00005581242,0.000013972011,0.038332615],"genre_scores_gemma":[0.98241603,0.000029155453,0.017160006,0.00006336519,0.000036108882,0.000013417679,0.000012408672,0.000006170417,0.00026333242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989922,0.00009843053,0.0006270133,0.00013978548,0.000032387583,0.00011017183],"domain_scores_gemma":[0.9989906,0.00040445823,0.00032879657,0.00023737965,0.00002260014,0.000016175154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012848084,0.00006881369,0.00021101933,0.00016720175,0.000062075575,0.000021823702,0.0001709239,0.00011561741,0.00013954459],"category_scores_gemma":[0.0003777184,0.0000625089,0.000050812556,0.0005424281,0.000050005106,0.000120995646,0.000022910672,0.00023911842,0.00003108755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050740564,0.00024591762,0.3535069,0.000001913741,0.000013203158,5.097405e-7,0.0030286221,0.0016568911,0.000020222487,0.5205025,0.0002728246,0.12074545],"study_design_scores_gemma":[0.00089904555,0.00010905374,0.38981104,0.00003365496,0.000021711414,0.0000035422067,0.0024933557,0.25079954,0.00043879246,0.071859665,0.28308082,0.00044977592],"about_ca_topic_score_codex":0.00014440273,"about_ca_topic_score_gemma":0.00004035395,"teacher_disagreement_score":0.44864282,"about_ca_system_score_codex":0.000056337503,"about_ca_system_score_gemma":0.00001650703,"threshold_uncertainty_score":0.2549039},"labels":[],"label_agreement":null},{"id":"W1973840944","doi":"10.3138/cjwl.24.1.053","title":"Le degré de déqualification professionnelle et son effet sur les revenus d'emploi des femmes immigrantes membres d'une minorité visible du Québec","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Women and the Law/Revue Femmes et Droit","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Job market; Human capital; Position (finance); Order (exchange); Sociology; Demographic economics; Political science; Economic growth; Business; Economics; Demography; Population; Law; Work (physics)","score_opus":0.03446745633205539,"score_gpt":0.2280285204328412,"score_spread":0.1935610641007858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973840944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705487,0.0091984,0.00034749822,0.017085787,0.00026372343,0.00015657148,0.00012740456,0.000008291668,0.0022636359],"genre_scores_gemma":[0.9970612,0.0006504916,0.00019798544,0.00088189304,0.00020913173,0.000019706005,0.0000085797,0.000032182103,0.0009388423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983097,0.00022193251,0.00067432737,0.00017349645,0.000043674787,0.0005768877],"domain_scores_gemma":[0.99819356,0.00038855933,0.0005771946,0.00024748026,0.000107323,0.00048589575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004701535,0.00018022208,0.00052909186,0.00017846796,0.0003936077,0.00015867161,0.00032154765,0.00010774679,0.00006704685],"category_scores_gemma":[0.00052347675,0.00015683261,0.00014206879,0.00019998153,0.000269526,0.00044337066,0.00003258784,0.0002926411,0.0000090092035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008042464,0.00006713619,0.22808814,0.00011970903,0.00010368133,0.000010519686,0.018509222,0.000016257098,0.000022505788,0.7515415,0.00034234798,0.0010985757],"study_design_scores_gemma":[0.0032818872,0.00016655799,0.43028936,0.00029840303,0.00004448352,0.00022568123,0.0070898957,0.0003495887,0.00010140046,0.5212932,0.03626978,0.0005897377],"about_ca_topic_score_codex":0.38379818,"about_ca_topic_score_gemma":0.432154,"teacher_disagreement_score":0.23024824,"about_ca_system_score_codex":0.0003576185,"about_ca_system_score_gemma":0.0005257095,"threshold_uncertainty_score":0.63954484},"labels":[],"label_agreement":null},{"id":"W1974415705","doi":"10.1080/17487870.2010.523968","title":"Equality through exposure to imports? International trade and the racial wage gap","year":2010,"lang":"en","type":"article","venue":"Journal of Economic Policy Reform","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada); Wilfrid Laurier University","funders":"University of California, Davis","keywords":"Wage; Competition (biology); Disadvantaged; Economics; Low wage; Labour economics; Wage inequality; Product market; Product (mathematics); Demographic economics; Economic growth; Market economy","score_opus":0.030202759664931442,"score_gpt":0.29116753331355466,"score_spread":0.2609647736486232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974415705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89601606,0.00013490193,0.00019406015,0.038366858,0.0020949943,0.00014061473,0.0002583487,0.0000073583506,0.06278683],"genre_scores_gemma":[0.9948269,0.0002756113,0.0004615177,0.0021639215,0.0019992327,0.0000047170843,0.0000035438352,0.00001785029,0.00024666497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813545,0.000023912138,0.0013312715,0.00020399233,0.000047329995,0.0002580319],"domain_scores_gemma":[0.9983424,0.000083352694,0.0010970214,0.00030962352,0.000017289913,0.00015034154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028447672,0.00015798133,0.00051502365,0.00017919211,0.00010185868,0.00015832602,0.0004849793,0.00011680035,0.00017342217],"category_scores_gemma":[0.0002714255,0.000115376824,0.00023021693,0.000079698686,0.00013689292,0.00051901734,0.00012294769,0.00043234433,0.000022059761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018294655,0.000033052853,0.006841575,0.000005308808,0.00009955472,0.0000030322262,0.0013341764,0.000015713244,0.00002950289,0.9895403,0.00017244136,0.0017423945],"study_design_scores_gemma":[0.0036665504,0.00015110697,0.07771385,0.000012281586,0.000014995457,0.00016877074,0.00021861616,0.00047474395,0.000054079625,0.7336791,0.18349001,0.00035588763],"about_ca_topic_score_codex":0.0014469486,"about_ca_topic_score_gemma":0.0005620307,"teacher_disagreement_score":0.2558612,"about_ca_system_score_codex":0.00035532686,"about_ca_system_score_gemma":0.00010245011,"threshold_uncertainty_score":0.47049302},"labels":[],"label_agreement":null},{"id":"W1974515832","doi":"10.5539/ass.v4n11p169","title":"Demographic Factors Affecting Employment in Pattani and Songkla Provinces of Thailand","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logistic regression; Demography; Unemployment; Odds; Odds ratio; Statistics; Medicine; Geography; Mathematics; Economics; Economic growth; Sociology","score_opus":0.018233206566105116,"score_gpt":0.24716466803740572,"score_spread":0.2289314614713006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974515832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96666217,0.000110303765,0.00008070432,0.0002954229,0.00007655852,0.00011293983,0.000022582626,0.000009941891,0.03262937],"genre_scores_gemma":[0.99978656,0.000025407322,0.00010678103,0.00004094728,0.00002143161,0.0000011196836,8.4868464e-7,0.0000031751945,0.000013722478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910027,0.00001552567,0.00029196122,0.00028181865,0.00006540696,0.00024501293],"domain_scores_gemma":[0.999615,0.000027750946,0.00020168202,0.00008689395,0.000018407665,0.000050274622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011614498,0.000080252474,0.00021447841,0.00017070353,0.00015909203,0.000064891945,0.00018068092,0.000046314304,0.000007932551],"category_scores_gemma":[0.00010247946,0.00007955782,0.000037123602,0.00071135216,0.00021962373,0.00024261759,0.000037374473,0.00008078907,6.646463e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030329752,0.000042447944,0.8301134,0.0000066542475,0.000002203154,9.701811e-7,0.0023068672,1.9567331e-7,0.000088144116,0.14612441,0.0000015702153,0.021310069],"study_design_scores_gemma":[0.00012900884,0.000050667997,0.9438078,0.0000075214107,8.92244e-7,2.1612402e-7,0.00054637785,0.000038998096,0.000049865776,0.055218205,0.00005275093,0.00009773931],"about_ca_topic_score_codex":0.00041337337,"about_ca_topic_score_gemma":0.00024089987,"teacher_disagreement_score":0.11369432,"about_ca_system_score_codex":0.00005934368,"about_ca_system_score_gemma":0.000028450435,"threshold_uncertainty_score":0.3244274},"labels":[],"label_agreement":null},{"id":"W1975155767","doi":"10.1093/icc/dtr029","title":"Information technology and the changing workplace in Canada: firm-level evidence","year":2011,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada; University of Saskatchewan","keywords":"Productivity; Spillover effect; Information and Communications Technology; Information technology; The Internet; Business; Human capital; Competition (biology); Sample (material); Industrial organization; Marketing; Technological change; Labour economics; Momentum (technical analysis); Control (management); Economics; Microeconomics; Management; Market economy; Economic growth","score_opus":0.25980188800918425,"score_gpt":0.21735251744929998,"score_spread":0.042449370559884264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975155767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942559,0.0014477269,0.00010956447,0.0027396318,0.0003603248,0.00032455486,0.000110359615,0.000010188888,0.0006417517],"genre_scores_gemma":[0.99879265,0.00056547375,0.000027672062,0.00039746985,0.00007263861,0.00006355389,0.000005014969,0.000004561779,0.00007097888],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99925375,0.000023573833,0.00035631162,0.00012958125,0.00002848098,0.00020828657],"domain_scores_gemma":[0.99936384,0.000064108805,0.00037228002,0.0001360511,0.000023801367,0.000039939354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009097844,0.0000989057,0.00023350453,0.0002530913,0.00007637197,0.000036435285,0.000121575926,0.00011414584,0.000032713004],"category_scores_gemma":[0.00017543366,0.00008150636,0.000012738812,0.0006173751,0.000084693056,0.00038779704,0.00011169612,0.00019732467,0.0000047808035],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021063542,0.000008943654,0.5852794,0.000018010012,0.000014697802,0.0000072852345,0.0028825281,6.539042e-7,3.202354e-7,0.38414982,0.000062854255,0.027364861],"study_design_scores_gemma":[0.007864228,0.00015154917,0.4645523,0.00040018186,0.000022824199,0.000028033433,0.0065519884,0.0060716746,0.000036063102,0.5032123,0.010126252,0.0009826269],"about_ca_topic_score_codex":0.48090872,"about_ca_topic_score_gemma":0.23959935,"teacher_disagreement_score":0.24130936,"about_ca_system_score_codex":0.000103506565,"about_ca_system_score_gemma":0.00007524952,"threshold_uncertainty_score":0.77427596},"labels":[],"label_agreement":null},{"id":"W1977826399","doi":"10.1016/j.jce.2004.12.001","title":"Heterogeneous labor markets and generosity towards the unemployed: an international perspective","year":2005,"lang":"en","type":"article","venue":"Journal of Comparative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generosity; Perspective (graphical); Labour economics; Economics; Unemployment; Political science; Economic growth","score_opus":0.05574215830508753,"score_gpt":0.2874974460699655,"score_spread":0.231755287764878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977826399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98791957,0.0010746407,0.000663555,0.0037258514,0.00059966673,0.00009594829,0.00022951506,0.0000063267225,0.0056849187],"genre_scores_gemma":[0.99601656,0.0011546743,0.0014496611,0.00062360027,0.000609656,0.0000026411453,0.0000035853425,0.000013241803,0.00012634935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869996,0.00006565363,0.00079185265,0.0002334028,0.000037825936,0.00017127271],"domain_scores_gemma":[0.998453,0.0000838717,0.0008858655,0.0002275743,0.00022993378,0.00011975853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010977553,0.00016163001,0.000457651,0.00012863171,0.00011712355,0.00019498452,0.00043991092,0.00006316777,0.00015182275],"category_scores_gemma":[0.00005172672,0.00013771381,0.00012881865,0.00006756009,0.00011738005,0.00066925643,0.0000843234,0.00023654326,0.000016003178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003960838,0.0003353164,0.064697824,0.0000051163875,0.00059470144,0.000007251726,0.00495402,0.0064541693,0.000022860597,0.91971874,0.0002312379,0.0025826925],"study_design_scores_gemma":[0.0025287836,0.0004905874,0.5258401,0.000017452117,0.000042736003,0.00024223897,0.0017933773,0.053506773,0.00040339527,0.3068769,0.107541464,0.00071618805],"about_ca_topic_score_codex":0.00005762141,"about_ca_topic_score_gemma":0.00016058139,"teacher_disagreement_score":0.61284184,"about_ca_system_score_codex":0.00033831314,"about_ca_system_score_gemma":0.000055717697,"threshold_uncertainty_score":0.5615806},"labels":[],"label_agreement":null},{"id":"W1978009319","doi":"10.1111/j.1540-5982.2006.00384.x","title":"Work while in high school in Canada: its labour market and educational attainment effects","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Graduation (instrument); Educational attainment; Wage; Work (physics); Economics; Demographic economics; Labour economics; Working hours; Psychology; Economic growth; Engineering","score_opus":0.03714357044932803,"score_gpt":0.15822002897019347,"score_spread":0.12107645852086543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978009319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98974645,0.0016316031,0.000006561652,0.004049844,0.0012534361,0.00028805068,0.0005329183,0.0000016287048,0.002489528],"genre_scores_gemma":[0.9976467,0.00018419148,0.0001971888,0.0006371686,0.00035140157,0.000027982347,0.000020698091,0.000040685616,0.0008939864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972163,0.000063419975,0.0014841617,0.00044388545,0.0000032114253,0.0007890122],"domain_scores_gemma":[0.9976317,0.00027078128,0.0007399552,0.00028071314,0.00007331551,0.001003507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012304768,0.00027957614,0.0008066083,0.00089458964,0.0000760064,0.0001222497,0.00038149106,0.00015060103,0.0008461115],"category_scores_gemma":[0.00031612368,0.00038585032,0.00008254288,0.00029244518,0.00005321242,0.0003720742,0.000027540338,0.00041763915,0.0000113672195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024042005,0.000013350766,0.53168315,0.000042558226,0.000021678074,0.000087762644,0.000044199325,0.002006106,3.4359203e-7,0.46545586,0.00046506088,0.00015589317],"study_design_scores_gemma":[0.0008731972,0.00003936482,0.6666925,0.00009582784,0.0000039668244,0.0000361842,0.00005032101,0.0006070672,0.000003324377,0.32684192,0.004416392,0.00033993297],"about_ca_topic_score_codex":0.991494,"about_ca_topic_score_gemma":0.99991655,"teacher_disagreement_score":0.13861394,"about_ca_system_score_codex":0.010099791,"about_ca_system_score_gemma":0.0048836754,"threshold_uncertainty_score":0.99985933},"labels":[],"label_agreement":null},{"id":"W1978251357","doi":"10.2139/ssrn.1127950","title":"Glass Ceilings or Glass Doors? Wage Disparity within and between Firms","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Doors; Glass ceiling; Wage; Labour economics; Stained glass; Economics; Business; Demographic economics; Engineering; Computer science; Window (computing); Economic growth; Structural engineering","score_opus":0.023382682139777757,"score_gpt":0.22928351323426557,"score_spread":0.2059008310944878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978251357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98901397,0.0022298796,0.0060087848,0.0009689215,0.00031047684,0.00013017055,0.000095754476,0.000035116827,0.0012069069],"genre_scores_gemma":[0.98946834,0.007263846,0.00025202672,0.00014258237,0.000405152,0.0000046274395,0.000012923516,0.00003730973,0.0024132042],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968306,0.000053517582,0.0008774501,0.00043767074,0.00009446064,0.0017063373],"domain_scores_gemma":[0.9987742,0.00011964872,0.00057339435,0.00028456477,0.00005561737,0.00019259384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033833848,0.0002523812,0.000566235,0.00015884757,0.00046956458,0.00011747958,0.00034778935,0.0001748386,0.00006387353],"category_scores_gemma":[0.0002734447,0.00022302994,0.00014078672,0.00028618934,0.00012742878,0.00038604962,0.000097067736,0.0017096547,0.000043865497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008089111,0.00006551781,0.526989,0.000014064831,0.00018280254,0.000022406444,0.0003324478,0.000010450051,0.00000552651,0.4709361,0.000036116562,0.0013247202],"study_design_scores_gemma":[0.001623024,0.00037760945,0.1716131,0.000020860325,0.0000259618,0.00048557448,0.00023338736,0.0012240568,0.000016138716,0.81904536,0.0047618225,0.00057312666],"about_ca_topic_score_codex":0.00060133496,"about_ca_topic_score_gemma":0.0012719979,"teacher_disagreement_score":0.3553759,"about_ca_system_score_codex":0.0006313887,"about_ca_system_score_gemma":0.0004947283,"threshold_uncertainty_score":0.9094897},"labels":[],"label_agreement":null},{"id":"W1978346228","doi":"","title":"Labour Market Frictions, Job Insecurity and the Flexibility of the Employment Relationship","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Labour economics; Unemployment; Job insecurity; Flexibility (engineering); Negotiation; Economics; Wage bargaining; Wage; Job loss; Work (physics)","score_opus":0.03905122303273944,"score_gpt":0.2839822658595238,"score_spread":0.24493104282678435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978346228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9385677,0.00033764695,0.000013687387,0.0028249524,0.00019338862,0.0005029743,0.00018517362,0.000010488762,0.05736398],"genre_scores_gemma":[0.9961888,0.0022684939,0.00014037988,0.00013929645,0.00004127302,0.000065747314,0.0000027579824,0.000016925012,0.0011363128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99801904,0.00027215036,0.0008368982,0.00043990428,0.00007715937,0.00035485055],"domain_scores_gemma":[0.9979352,0.0007819263,0.00026793522,0.00087803294,0.00006416503,0.00007274469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068082456,0.00013364635,0.0003518837,0.00015601008,0.0003325776,0.00007503757,0.0004397778,0.0001294467,0.00008389729],"category_scores_gemma":[0.0017788564,0.00010266268,0.00013200166,0.00034336752,0.0006349969,0.00014206591,0.00031473633,0.00058716035,0.000004613289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071417264,0.00006875938,0.37822667,0.00002159633,0.00002226597,4.5097983e-7,0.00032938435,0.0003705,9.375199e-7,0.61988395,0.0000046663454,0.00099943],"study_design_scores_gemma":[0.0010402034,0.000018031644,0.5677712,0.000014444456,0.0000018239768,0.0000017356384,0.00013495279,0.0007114617,0.0000050899434,0.4268073,0.003405068,0.00008867874],"about_ca_topic_score_codex":0.001379512,"about_ca_topic_score_gemma":0.0016260479,"teacher_disagreement_score":0.19307663,"about_ca_system_score_codex":0.00047083874,"about_ca_system_score_gemma":0.00011696811,"threshold_uncertainty_score":0.41864625},"labels":[],"label_agreement":null},{"id":"W1978892319","doi":"10.1016/j.worlddev.2003.10.011","title":"Gender Segmentation at Work in China's Privatized Rural Industry: Some Evidence from Shandong and Jiangsu","year":2004,"lang":"en","type":"article","venue":"World Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Northern British Columbia; University of British Columbia","funders":"","keywords":"China; Argument (complex analysis); Wage; Work (physics); Labor market segmentation; Control (management); Labour economics; Production (economics); Demographic economics; Segmentation; Business; Economic growth; Economics; Political science; Management","score_opus":0.038316845933083016,"score_gpt":0.2403921262992126,"score_spread":0.2020752803661296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978892319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958609,0.0014381027,0.0005499929,0.0009792221,0.00024601124,0.00027004845,0.000023708451,0.000025646139,0.00060637115],"genre_scores_gemma":[0.9900713,0.00017240344,0.008382833,0.00034237633,0.000049189974,0.00005326195,0.000049820082,0.000017255581,0.0008615655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985867,0.000021425314,0.0006518621,0.0003843557,0.00007353859,0.0002820939],"domain_scores_gemma":[0.999404,0.000059761776,0.0002360725,0.00019539813,0.000013035527,0.00009171704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061746046,0.00017629362,0.00030784612,0.00022700515,0.00008937821,0.00009095455,0.00014615529,0.00010625361,0.0002088316],"category_scores_gemma":[0.000073349336,0.00019276165,0.000030008969,0.00043440654,0.000031236876,0.00032774083,0.00017795789,0.00022881002,0.00006590097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008698574,0.000053429292,0.9772395,0.000018075192,0.00003947992,0.000009615109,0.003283178,0.00016358818,0.000047749818,0.016605007,0.000050616778,0.002402786],"study_design_scores_gemma":[0.0012674314,0.000005661336,0.95417875,0.00012991662,0.0000023281134,5.3441784e-7,0.00004267014,0.000041924297,0.00016727381,0.04291225,0.00097453577,0.00027674533],"about_ca_topic_score_codex":0.00058592344,"about_ca_topic_score_gemma":0.0006966321,"teacher_disagreement_score":0.026307244,"about_ca_system_score_codex":0.0007596435,"about_ca_system_score_gemma":0.000057743444,"threshold_uncertainty_score":0.7860592},"labels":[],"label_agreement":null},{"id":"W1979085925","doi":"10.1016/j.rie.2010.10.001","title":"The influence of labour market institutions on job complexity","year":2010,"lang":"en","type":"article","venue":"Research in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec en Outaouais","funders":"","keywords":"Matching (statistics); Unemployment; Labour economics; Affect (linguistics); Wage; Economics; Microeconomics; Macroeconomics","score_opus":0.13611411570142493,"score_gpt":0.3498650337902879,"score_spread":0.21375091808886296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979085925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9300656,0.0000430204,0.000010154777,0.0020142861,0.00029506415,0.0002294936,0.0004705634,0.000008774958,0.06686308],"genre_scores_gemma":[0.9978868,0.001011481,0.0002115982,0.00009517444,0.00006709635,0.0000342771,0.000004229463,0.000013647027,0.00067574595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99833816,0.00008286632,0.00071658427,0.00033818532,0.000051752202,0.0004724712],"domain_scores_gemma":[0.99809086,0.000732721,0.00019530988,0.00076848606,0.00010958504,0.00010305412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006460781,0.00010881401,0.00027367426,0.00029299545,0.00028635966,0.00011681123,0.0007092098,0.000118463795,0.0001237772],"category_scores_gemma":[0.0010129384,0.0001036091,0.00006884413,0.0003768058,0.0007072242,0.00019441672,0.00019636215,0.0008335399,0.000109738285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040132854,0.00006905607,0.094184235,0.00001512678,0.000011047407,0.0000012478604,0.000036954432,0.0006142576,0.000015773132,0.90424067,0.000048799255,0.00072270737],"study_design_scores_gemma":[0.00023298508,0.000031176514,0.42222866,0.000007595845,2.3522314e-7,8.534666e-7,0.000021236498,0.0019351221,0.0000131565885,0.5093138,0.066123694,0.00009146266],"about_ca_topic_score_codex":0.0015254595,"about_ca_topic_score_gemma":0.0047676447,"teacher_disagreement_score":0.39492685,"about_ca_system_score_codex":0.00016617012,"about_ca_system_score_gemma":0.00015270147,"threshold_uncertainty_score":0.42250562},"labels":[],"label_agreement":null},{"id":"W1979148575","doi":"10.1080/02255189.2000.9669911","title":"Perceptions of Labour Market and Post-School Plans: Some Evidence from India","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Labour economics; Business; Geography; Demographic economics; Economics; Psychology","score_opus":0.03653353407144439,"score_gpt":0.22154651969104538,"score_spread":0.185012985619601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979148575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874227,0.00554318,0.000032830936,0.004741805,0.00056356745,0.00022465661,0.0009877636,0.000005609725,0.0004778528],"genre_scores_gemma":[0.98884183,0.0064627533,0.0029662466,0.0007913043,0.00017322905,0.000018946446,0.00001988933,0.000028873103,0.00069691107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724305,0.00005383001,0.0016045165,0.0004008517,0.00006437087,0.00063336827],"domain_scores_gemma":[0.997435,0.00017330868,0.00068766385,0.0002796315,0.0004014561,0.0010229904],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016311366,0.00030536135,0.000830596,0.0005357584,0.0003135001,0.00007337895,0.00046593498,0.00010583708,0.0033156301],"category_scores_gemma":[0.00065386086,0.00033260844,0.00010974077,0.0003095286,0.00014653402,0.00039596937,0.000056809055,0.0002574198,0.000028963646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081698214,0.0000680969,0.940543,0.00024696742,0.001353523,0.00025454775,0.021926813,0.000046134664,0.000034312638,0.025606725,0.0014517406,0.008386452],"study_design_scores_gemma":[0.0006370085,0.00013356733,0.9608056,0.0004689227,0.00003362808,0.00003443692,0.0025333615,0.000019940144,0.00001078746,0.007971194,0.026927082,0.00042445917],"about_ca_topic_score_codex":0.021822788,"about_ca_topic_score_gemma":0.2981405,"teacher_disagreement_score":0.27631772,"about_ca_system_score_codex":0.0016836127,"about_ca_system_score_gemma":0.0012177621,"threshold_uncertainty_score":0.9999126},"labels":[],"label_agreement":null},{"id":"W1980513654","doi":"10.1177/000312240707200506","title":"Corporate Demography and Income Inequality","year":2007,"lang":"en","type":"article","venue":"American Sociological Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversity (politics); Labour economics; Inequality; Wage; Economics; Proxy (statistics); Variance (accounting); Economic inequality; Demographic economics; Horizontal and vertical; Variation (astronomy); Wage dispersion; Census; Efficiency wage; Geography; Population; Sociology","score_opus":0.06676515257192964,"score_gpt":0.2960416840640138,"score_spread":0.22927653149208418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980513654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9116673,0.07308915,0.0056230696,0.0017569948,0.00009384294,0.0002868691,0.00010333291,0.00006856685,0.0073108934],"genre_scores_gemma":[0.9003839,0.091251925,0.0013246608,0.0069211256,0.000050113937,0.000012832689,0.000016760652,0.000010175595,0.000028512104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981929,0.00010547656,0.0008666343,0.00044005792,0.000041387462,0.00035356407],"domain_scores_gemma":[0.99819785,0.00034969722,0.0009298035,0.00030808957,0.000040786013,0.0001737863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045933286,0.00017591009,0.0008651724,0.0000565582,0.00008687614,0.00001984182,0.00019016096,0.000074987176,0.0001546606],"category_scores_gemma":[0.00074670376,0.00014757787,0.00017190095,0.0005323998,0.0006307974,0.00006659173,0.000107973334,0.00023880354,0.00007706631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072264565,0.00003593463,0.59218943,0.00017496405,0.000025611951,0.000006926263,0.000019392237,5.0262805e-8,0.0000019522354,0.38752854,0.0000698014,0.019940177],"study_design_scores_gemma":[0.00012737168,0.00012707248,0.7270657,0.000093371804,0.00001004537,0.0000033637805,0.000023748235,0.000011791033,4.1933967e-7,0.24707253,0.025183212,0.0002813926],"about_ca_topic_score_codex":0.00016224863,"about_ca_topic_score_gemma":0.000008336921,"teacher_disagreement_score":0.14045602,"about_ca_system_score_codex":0.00004378181,"about_ca_system_score_gemma":0.000008249167,"threshold_uncertainty_score":0.6018051},"labels":[],"label_agreement":null},{"id":"W1981622613","doi":"10.2139/ssrn.2048554","title":"Becker Meets Ricardo: Multisector Matching with Social and Cognitive Skills","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Matching (statistics); Cognition; Cognitive psychology; Psychology; Sociology; Cognitive science; Economics; Mathematics; Neuroscience","score_opus":0.012379436884479282,"score_gpt":0.2327832650453518,"score_spread":0.2204038281608725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981622613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820007,0.0044742515,0.010605081,0.0004663093,0.0001726973,0.000109651046,0.000064706284,0.000017159913,0.0020894217],"genre_scores_gemma":[0.9976623,0.0011077438,0.00018785444,0.00015673671,0.0004439073,0.0000063134157,0.0000063101634,0.00003318918,0.00039565781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977089,0.00004410297,0.0003480918,0.00020999066,0.00006222253,0.0016266959],"domain_scores_gemma":[0.9993658,0.00006855474,0.00032505233,0.000075603275,0.00004827222,0.00011671986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020291873,0.00016817605,0.0003166546,0.00010907111,0.00030013712,0.00009056893,0.00010780982,0.000086413565,0.000051124884],"category_scores_gemma":[0.000059027112,0.00015324437,0.00008101731,0.000134334,0.000057519246,0.0003815257,0.000040363222,0.00090192497,0.000028313556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005765274,0.00014170987,0.24521652,0.000008458289,0.0003343876,0.0000022399124,0.0013837087,0.000001219967,0.000009857794,0.7476919,0.000007123542,0.005145202],"study_design_scores_gemma":[0.0025121614,0.0002274289,0.389826,0.000030627198,0.00007194415,0.0002916595,0.0017931281,0.0000867765,0.000011203524,0.602637,0.0018757912,0.00063627725],"about_ca_topic_score_codex":0.00020606426,"about_ca_topic_score_gemma":0.000334739,"teacher_disagreement_score":0.14505494,"about_ca_system_score_codex":0.0003528447,"about_ca_system_score_gemma":0.0001273276,"threshold_uncertainty_score":0.6249124},"labels":[],"label_agreement":null},{"id":"W1982020224","doi":"10.1162/rest_a_00366","title":"Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years","year":2013,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":881,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Openness to experience; Information and Communications Technology; Quarter (Canadian coin); Polarization (electrochemistry); Economics; Labour economics; On demand; Demographic economics; Business; Political science; Commerce; Geography; Psychology","score_opus":0.02921249007319282,"score_gpt":0.24537930295134938,"score_spread":0.21616681287815656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982020224","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7492901,0.2205612,0.014348073,0.0032421767,0.00057379366,0.0011441015,0.009992954,0.000018179602,0.00082938647],"genre_scores_gemma":[0.39406312,0.5982197,0.005723611,0.0015353933,0.00007920132,0.000029981187,0.00008254913,0.000027599956,0.00023885646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983228,0.00006289956,0.0010257075,0.0003251744,0.000031944455,0.00023150635],"domain_scores_gemma":[0.99779266,0.0007394191,0.00079677295,0.0005048022,0.00007991089,0.00008643633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012210511,0.00018676139,0.0007629091,0.000045296252,0.00010256945,0.00015934078,0.00032948758,0.000068886286,0.00079497864],"category_scores_gemma":[0.00045101682,0.00016280205,0.000098271616,0.00007106592,0.00020192488,0.00023638514,0.00013831416,0.0001358478,0.00013217966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020765436,0.000045239543,0.017030517,0.0010979922,0.00023241228,0.0000015898922,0.000516345,0.000018602732,0.0000033752078,0.973206,0.0030044867,0.0048226723],"study_design_scores_gemma":[0.00067969406,0.00009114011,0.15412188,0.0015951556,0.000112174246,0.0000029000744,0.000047547033,0.016494405,0.0000045049755,0.7716429,0.054643057,0.0005646468],"about_ca_topic_score_codex":0.003563953,"about_ca_topic_score_gemma":0.00013092026,"teacher_disagreement_score":0.3776585,"about_ca_system_score_codex":0.000060729784,"about_ca_system_score_gemma":0.000052305517,"threshold_uncertainty_score":0.87044585},"labels":[],"label_agreement":null},{"id":"W1982689057","doi":"10.1353/cpp.2011.0018","title":"Ten Years After: Sex and Salaries at a Canadian University","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Salary; Wage; Gender pay gap; Demographic economics; Gender gap; Economics; Demography; Labour economics; Sociology","score_opus":0.02202253169569831,"score_gpt":0.17561008976985767,"score_spread":0.15358755807415936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982689057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83252573,0.00025732192,0.000008097033,0.005021536,0.00011398875,0.00010506766,0.0025363432,0.000021381291,0.1594105],"genre_scores_gemma":[0.99042434,0.00008608629,0.0000694188,0.001947816,0.00006832762,0.00000274137,0.000028061675,0.000018395805,0.0073548397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988559,0.00001964008,0.00017611183,0.00030007653,0.000019924733,0.00062834384],"domain_scores_gemma":[0.99816316,0.000011768895,0.00006657107,0.00031718996,0.00002699121,0.0014142994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002997369,0.00011840989,0.00019544433,0.0009603677,0.00019523021,0.00008872583,0.00023500896,0.00013546267,0.00094125496],"category_scores_gemma":[0.00012809015,0.00016299794,0.000045627374,0.0004135493,0.00013096894,0.00023529054,0.00006302068,0.000103763705,0.00015340201],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002560443,0.0000036685897,0.3966198,0.0000042282577,0.000022043367,0.00008603618,0.00057187537,2.8046621e-8,5.4551307e-8,0.6006656,0.00077985914,0.0012442041],"study_design_scores_gemma":[0.00012822238,0.000008546321,0.56541735,0.0000014884846,0.0000019163217,0.000007708552,0.00004436546,0.00003562994,1.7036562e-7,0.018661225,0.4155276,0.00016576155],"about_ca_topic_score_codex":0.986556,"about_ca_topic_score_gemma":0.99419165,"teacher_disagreement_score":0.5820044,"about_ca_system_score_codex":0.001460377,"about_ca_system_score_gemma":0.001557617,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W1986101821","doi":"10.1080/08865655.2007.9695677","title":"Labor market effects in the German‐Czech border region: An empirical study using the IAB employment sample (IABS)","year":2007,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; German; Czech; Economics; Sample (material); Convergence (economics); Labour economics; Demographic economics; Capital (architecture); Macroeconomics; Geography","score_opus":0.0648467194153052,"score_gpt":0.3654295014470515,"score_spread":0.30058278203174627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986101821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885935,0.0047959504,0.0025123064,0.0026024166,0.00063048315,0.00041368938,0.000021384843,0.0000076253464,0.0004226119],"genre_scores_gemma":[0.9973464,0.0006588228,0.00038354791,0.0011236423,0.00038369923,0.000009853831,0.0000011346616,0.000021688329,0.00007122484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997584,0.00027672545,0.0012662112,0.00026507673,0.00019631116,0.00041166504],"domain_scores_gemma":[0.9970891,0.0013598829,0.0008155623,0.00044468415,0.00022333954,0.000067440094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008184712,0.00023263226,0.00069400755,0.00024898074,0.00031904783,0.00011985565,0.0004969983,0.00007500182,0.000020537582],"category_scores_gemma":[0.000783811,0.00013772829,0.00015060398,0.00064903015,0.00009518285,0.00024185955,0.00011794847,0.00045111173,0.0000013103211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020091473,0.00075428974,0.97949106,0.000032812713,0.0003301557,0.000167597,0.014375617,0.00004800685,0.0000010208553,0.00258801,0.00078912737,0.0012214062],"study_design_scores_gemma":[0.0018466545,0.0008291439,0.93226784,0.000044646655,0.00006219697,0.00005675986,0.008387688,0.0005797852,0.0000014906909,0.042677972,0.012981081,0.00026476724],"about_ca_topic_score_codex":0.00025291246,"about_ca_topic_score_gemma":0.0008832314,"teacher_disagreement_score":0.047223225,"about_ca_system_score_codex":0.00017758292,"about_ca_system_score_gemma":0.00004130537,"threshold_uncertainty_score":0.56163967},"labels":[],"label_agreement":null},{"id":"W1987753003","doi":"10.7202/601468ar","title":"Chocs sectoriels et chômage","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.04093521551729479,"score_gpt":0.2483254593938828,"score_spread":0.20739024387658803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987753003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77687645,0.009938081,0.006969673,0.055566844,0.005897655,0.000663154,0.0022819801,0.00017117281,0.14163502],"genre_scores_gemma":[0.9290231,0.0045357323,0.0026070327,0.017681934,0.0010682254,0.000026039364,0.00014163884,0.00007852959,0.0448378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960094,0.00021714154,0.0016405187,0.0010947979,0.00004293174,0.0009952],"domain_scores_gemma":[0.9972253,0.00037425695,0.0008383679,0.0011328468,0.00009498751,0.00033426186],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025621527,0.00058677635,0.0011450357,0.0002466635,0.00016666797,0.0004952782,0.0006387804,0.0007078602,0.0028129146],"category_scores_gemma":[0.0005274472,0.0007886932,0.00046227753,0.00039855068,0.0001478195,0.0010197035,0.00012589738,0.0007681714,0.0009518723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050620914,0.0004016511,0.0064109163,0.00008276375,0.00011719481,0.00003183752,0.0013065502,0.00015709989,0.000030212352,0.97380483,0.001768499,0.015837833],"study_design_scores_gemma":[0.0008252942,0.00022829288,0.035980575,0.00007816939,0.000018167493,0.0000152322955,0.000052019026,0.0018536801,0.0000952178,0.47940886,0.48061478,0.0008297224],"about_ca_topic_score_codex":0.0014642531,"about_ca_topic_score_gemma":0.00032444944,"teacher_disagreement_score":0.49439597,"about_ca_system_score_codex":0.00058679294,"about_ca_system_score_gemma":0.00014907766,"threshold_uncertainty_score":0.999826},"labels":[],"label_agreement":null},{"id":"W1987880796","doi":"10.1007/s12122-004-1011-z","title":"Unions and wage inequality","year":2004,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":413,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collective bargaining; Economics; Earnings; Inequality; Labour economics; Wage; Work (physics); Wage inequality; Economic inequality; Efficiency wage; Union density","score_opus":0.11358747716297064,"score_gpt":0.35648581333374224,"score_spread":0.2428983361707716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987880796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98504686,0.0019063231,0.0006802175,0.006960755,0.00019112755,0.00008066321,0.00012916865,0.0000053342583,0.0049995747],"genre_scores_gemma":[0.9974363,0.0012000337,0.0008244131,0.00014965235,0.00016306007,0.0000017723336,0.000001564484,0.000013231932,0.0002099957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853384,0.00010315023,0.00073747133,0.00016884049,0.00014928631,0.00030740333],"domain_scores_gemma":[0.9986819,0.00018997879,0.0003013449,0.00024055377,0.00040021038,0.00018599014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007653537,0.0000816852,0.00032040535,0.00039470167,0.0001394861,0.000118293414,0.00027227047,0.000079111705,0.00010386862],"category_scores_gemma":[0.0011551062,0.00007543918,0.00007101958,0.0006002499,0.00013287326,0.00027241567,0.00008620451,0.00058803445,0.000031722495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044126744,0.00014887247,0.053312585,0.000028136068,0.00004062335,0.000057399186,0.00040109668,0.000030063775,0.00018579874,0.944979,0.00011028363,0.0006620053],"study_design_scores_gemma":[0.0013157389,0.00027468693,0.15811136,0.000045043074,0.0000030025194,0.000034288605,0.00021385998,0.000033307166,0.00014976355,0.81630087,0.023372475,0.00014560895],"about_ca_topic_score_codex":0.00035878358,"about_ca_topic_score_gemma":0.000054610093,"teacher_disagreement_score":0.12867816,"about_ca_system_score_codex":0.00016829473,"about_ca_system_score_gemma":0.00011196308,"threshold_uncertainty_score":0.30763203},"labels":[],"label_agreement":null},{"id":"W1988033520","doi":"10.1257/000282803322156990","title":"Wages and Employment in the United States and Germany:What Explains the Differences?","year":2003,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Wage inequality; Human capital; Wage; Labour economics; Capital (architecture); Physical capital; Inequality; Technological change; Demographic economics; Macroeconomics; Economic growth; Geography","score_opus":0.03267366206641765,"score_gpt":0.25961989386178486,"score_spread":0.22694623179536721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988033520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.915045,0.07660387,0.000031300664,0.0064955065,0.00008501967,0.000376854,0.000039512306,0.000007087467,0.0013158309],"genre_scores_gemma":[0.5433044,0.45176914,0.00002247523,0.0047930465,0.0000093746,0.00004849313,0.000007976889,0.0000076652705,0.00003741143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867344,0.00018570622,0.0005760671,0.0003202479,0.000019900792,0.00022466862],"domain_scores_gemma":[0.99883884,0.00033095755,0.0003855548,0.00038895305,0.0000069296457,0.000048762395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017126502,0.00016217689,0.00049795385,0.000070131544,0.000093445575,0.00018661891,0.00022238748,0.00001918045,0.000074272735],"category_scores_gemma":[0.00007540234,0.00010543692,0.000051220417,0.00018437263,0.00025326508,0.0001811163,0.000046102097,0.00012901978,0.000027145432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069244475,0.00007754466,0.29898852,0.00033495997,0.00009719706,0.000006403247,0.0022038238,0.000016117545,3.4053954e-7,0.6367658,0.0006687916,0.06083359],"study_design_scores_gemma":[0.00048181514,0.00013483546,0.39253768,0.00043142473,0.00003303059,0.000029194736,0.0027340169,0.0012825843,8.148359e-7,0.057707414,0.54403794,0.0005892481],"about_ca_topic_score_codex":0.0015079528,"about_ca_topic_score_gemma":0.0003419653,"teacher_disagreement_score":0.57905835,"about_ca_system_score_codex":0.000054385408,"about_ca_system_score_gemma":0.000011503352,"threshold_uncertainty_score":0.42995927},"labels":[],"label_agreement":null},{"id":"W1988241659","doi":"10.1080/13636820100200179","title":"Screening as a prerequisite for vocational training after job displacement","year":2001,"lang":"en","type":"article","venue":"Journal of Vocational Education and Training","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vocational education; Displacement (psychology); Human capital; Training (meteorology); Set (abstract data type); Job training; Psychology; Medical education; Applied psychology; Computer science; Pedagogy; Medicine; Geography; Economics; Economic growth","score_opus":0.06051579197848268,"score_gpt":0.30729421063319695,"score_spread":0.24677841865471428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988241659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88571924,0.002172152,0.090221964,0.0065863244,0.0009533046,0.0002494994,0.00007913155,0.000010454848,0.014007905],"genre_scores_gemma":[0.9803646,0.00013307853,0.016685676,0.001059376,0.0006611116,0.00005185826,0.000037940154,0.000016904594,0.0009894434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99867755,0.000019955562,0.0008143635,0.00020193553,0.00009834748,0.0001878203],"domain_scores_gemma":[0.99866074,0.000187123,0.0006514123,0.0000999024,0.00025961033,0.00014119678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014111862,0.00012307054,0.0002679976,0.00026307907,0.00013948261,0.00011891089,0.000116682575,0.000059464666,0.0002656893],"category_scores_gemma":[0.0003962893,0.00013199144,0.000113628266,0.00016742748,0.00004072657,0.00041451203,0.000015507438,0.00013306772,0.000005952734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028272773,0.00030296438,0.05210972,0.000049211772,0.00017849018,0.000002057215,0.010414099,0.00009843653,0.000022689966,0.8058435,0.00024098154,0.13045518],"study_design_scores_gemma":[0.0015725896,0.00023794408,0.6190432,0.00016677147,0.00003722721,0.00023164641,0.0042224335,0.0020165292,0.000003093398,0.296752,0.0753613,0.0003552561],"about_ca_topic_score_codex":0.000019535455,"about_ca_topic_score_gemma":0.00000817945,"teacher_disagreement_score":0.56693345,"about_ca_system_score_codex":0.00007814013,"about_ca_system_score_gemma":0.00034875167,"threshold_uncertainty_score":0.5382455},"labels":[],"label_agreement":null},{"id":"W1988587864","doi":"10.1016/j.jce.2007.12.001","title":"Glass ceiling or sticky floor? Examining the gender earnings differential across the earnings distribution in urban China, 1987–2004","year":2007,"lang":"en","type":"article","venue":"Journal of Comparative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; Chinese Academy of Sciences","keywords":"Earnings; Economics; Differential (mechanical device); Wage; Quantile regression; Glass ceiling; Distribution (mathematics); Quantile; Labour economics; Econometrics; Demographic economics; Mathematics","score_opus":0.05675440235278266,"score_gpt":0.2888083417151446,"score_spread":0.2320539393623619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988587864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554666,0.0003278218,0.04183533,0.00031545575,0.0009857801,0.00018771554,0.00013157984,0.000008213643,0.0007414756],"genre_scores_gemma":[0.99876297,0.00013606258,0.00017321331,0.00010447853,0.0005524906,0.000003959206,0.000018409135,0.000022200851,0.0002262055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721384,0.00011793135,0.0017683043,0.00029876299,0.000072642404,0.0005284962],"domain_scores_gemma":[0.996826,0.00057100685,0.002089604,0.00029839447,0.000103184255,0.00011181795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005018469,0.00026474817,0.00074467814,0.00011491949,0.00036701228,0.00028355702,0.0006010082,0.00012661335,0.000114927636],"category_scores_gemma":[0.00029264466,0.0001796755,0.0002019195,0.00027661695,0.00019305236,0.0004148349,0.00013731177,0.0009296144,0.00002561734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012875202,0.0003361146,0.82001066,0.000037966383,0.00046288414,0.000038730297,0.03432263,0.02221397,0.000060375813,0.119437985,0.00025403066,0.0015371417],"study_design_scores_gemma":[0.0013715391,0.00016173003,0.9628094,0.000029247147,0.00001670903,0.000036841386,0.0026267308,0.016506424,0.000055565873,0.008498033,0.0075945775,0.00029320014],"about_ca_topic_score_codex":0.00011949493,"about_ca_topic_score_gemma":0.00027107314,"teacher_disagreement_score":0.14279875,"about_ca_system_score_codex":0.0004700124,"about_ca_system_score_gemma":0.00008331112,"threshold_uncertainty_score":0.7326954},"labels":[],"label_agreement":null},{"id":"W1990018997","doi":"10.7202/050261ar","title":"Screening and Human Capital Theory: An Empirical Test","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Human capital theory; Test (biology); Economics; Econometrics; Positive economics; Psychology; Economic growth; Geology","score_opus":0.04875601565655433,"score_gpt":0.27261184699693386,"score_spread":0.22385583134037954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990018997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759553,0.00036850717,0.005071353,0.0016695064,0.000039066457,0.00009430143,0.00016045566,0.000049589355,0.016591918],"genre_scores_gemma":[0.9954787,0.000021824018,0.0017603184,0.0001428517,0.00018111437,0.0000066156454,0.00005097113,0.000017095359,0.0023405224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990998,0.00002970059,0.00038279546,0.0002798646,0.000029725106,0.00017813678],"domain_scores_gemma":[0.99930143,0.00019525898,0.0001385314,0.00024306837,0.000021043865,0.000100642625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066609046,0.000110082095,0.00017104477,0.0001251785,0.0003037135,0.00009290855,0.000109214874,0.00019536939,0.0005194012],"category_scores_gemma":[0.00024987553,0.00012271914,0.00003824317,0.00017394136,0.00008222581,0.00032315357,0.000050109134,0.00028009206,0.00007516794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018008129,0.00006598757,0.40590677,4.1263576e-7,0.000012144395,7.5474196e-7,0.00038538492,0.000089025736,0.000002562008,0.58966905,0.00012574527,0.0037403759],"study_design_scores_gemma":[0.00091287744,0.00014414935,0.4917614,0.000017738157,0.000018678054,0.000009919112,0.0007343502,0.009060974,0.00001667263,0.39329287,0.10346435,0.0005660325],"about_ca_topic_score_codex":0.000092196075,"about_ca_topic_score_gemma":0.000041080817,"teacher_disagreement_score":0.19637616,"about_ca_system_score_codex":0.000042647174,"about_ca_system_score_gemma":0.000015339781,"threshold_uncertainty_score":0.5687079},"labels":[],"label_agreement":null},{"id":"W1991260282","doi":"10.1111/j.1468-232x.2009.00569.x","title":"Race and Gender Differences in the Earnings of Black Workers","year":2009,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Race (biology); Earnings; Black women; Intersection (aeronautics); Demographic economics; Sociology; Gender studies; Economics; Geography","score_opus":0.0705999581020771,"score_gpt":0.24900792956432785,"score_spread":0.17840797146225074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991260282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99177,0.00056134147,0.0006869668,0.0021826185,0.00006246596,0.00007658405,0.000010849955,0.0000011356336,0.0046480345],"genre_scores_gemma":[0.99896234,0.00045737665,0.0002703355,0.00013957355,0.00008642599,6.119996e-7,7.579429e-7,0.0000023845832,0.000080175356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909574,0.000043226617,0.00064224494,0.00009712186,0.000024230496,0.00009741196],"domain_scores_gemma":[0.9989535,0.00027509072,0.0006265601,0.00007457823,0.00003239532,0.00003784728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017531671,0.000070040405,0.00028589432,0.00006105046,0.00007104455,0.00005678476,0.00010038792,0.0001344931,0.00003470069],"category_scores_gemma":[0.00016457142,0.00005677281,0.0001025466,0.00014923156,0.000098160424,0.00023130864,0.000012640996,0.0003678556,6.9956957e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020972066,0.00005104842,0.85032713,0.00000425974,0.00006180705,9.291307e-7,0.006059061,0.00008543408,9.5031214e-7,0.14174984,0.00035152206,0.0012870283],"study_design_scores_gemma":[0.0013392796,0.00012742916,0.8072728,0.000025539595,0.000017522536,0.0000074175427,0.0024924849,0.0014404098,7.184335e-7,0.18366049,0.0035036663,0.00011226827],"about_ca_topic_score_codex":0.000023887013,"about_ca_topic_score_gemma":0.0000020798282,"teacher_disagreement_score":0.04305436,"about_ca_system_score_codex":0.000027877586,"about_ca_system_score_gemma":0.00003808264,"threshold_uncertainty_score":0.2315128},"labels":[],"label_agreement":null},{"id":"W1992809490","doi":"10.1016/j.techsoc.2004.01.002","title":"Technology and labor in the new US economy","year":2004,"lang":"en","type":"article","venue":"Technology in Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Quarter (Canadian coin); Wage; Incentive; Value (mathematics); Wage dispersion; Rest (music); Economics; Service (business); Tertiary sector of the economy; Business; Efficiency wage; Economy; Market economy","score_opus":0.011177600082853678,"score_gpt":0.21962822292845002,"score_spread":0.20845062284559635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992809490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347572,0.002369982,0.0002928496,0.05891578,0.00007031081,0.0002148047,0.000025416359,0.000092175665,0.0032615396],"genre_scores_gemma":[0.99541384,0.0006760996,0.0022348647,0.0014990853,0.00002399371,0.000045857156,0.0000031632471,0.000012911729,0.00009019168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987841,0.000008245231,0.00045580522,0.00039173538,0.000016588887,0.00034349284],"domain_scores_gemma":[0.99933195,0.000037470443,0.00014769021,0.0004459608,0.000013835862,0.000023063765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070266693,0.00014122724,0.00032763352,0.000363964,0.00006257568,0.000029146617,0.00044286085,0.00051443884,0.000026077498],"category_scores_gemma":[0.000095124626,0.00013597232,0.000057074743,0.001575558,0.00030065572,0.000103919956,0.0001377923,0.00054513506,0.000029449911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015213199,0.00003938748,0.31975347,0.0000061581795,0.000008989273,0.0000052664955,0.00031835615,0.00001205283,0.0000065691665,0.6791749,0.000066457425,0.0006068525],"study_design_scores_gemma":[0.00096515886,0.000035385114,0.043436512,0.000009171532,0.000001731888,0.000011197727,0.0006472839,0.000108603526,0.000030433175,0.93687916,0.017718853,0.00015652238],"about_ca_topic_score_codex":0.00036225244,"about_ca_topic_score_gemma":0.00030560966,"teacher_disagreement_score":0.27631694,"about_ca_system_score_codex":0.000167666,"about_ca_system_score_gemma":0.000046506608,"threshold_uncertainty_score":0.55447906},"labels":[],"label_agreement":null},{"id":"W1993782642","doi":"10.1111/j.0008-4085.2004.012_1.x","title":"A longitudinal analysis of earnings change in Canada","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; Queen's University","funders":"","keywords":"Earnings; Microdata (statistics); Economics; Demographic economics; Labour economics; Demography; Population; Census; Sociology; Accounting","score_opus":0.1321039988543873,"score_gpt":0.1888571686579138,"score_spread":0.05675316980352649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993782642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951982,0.0005157578,0.000080517835,0.0014951654,0.00082285935,0.00016600301,0.0010504998,0.0000018696717,0.00066912064],"genre_scores_gemma":[0.998956,0.00016234936,0.00022539303,0.00041046806,0.00014149549,0.000010980222,0.000026033664,0.000033432905,0.000033826953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969701,0.00002814742,0.0018733559,0.0004011116,0.0000025308912,0.00072474394],"domain_scores_gemma":[0.99670076,0.00009176909,0.0016187405,0.00042163752,0.00013988046,0.0010271897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011921873,0.000258539,0.0013704504,0.0021520257,0.00006450612,0.0000524446,0.00059065723,0.00013996719,0.0003923638],"category_scores_gemma":[0.00023993003,0.00034995383,0.00034493508,0.0008206393,0.00009079501,0.00041351857,0.000024307727,0.0003576145,0.0000052110377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018807292,0.000009763888,0.5516945,0.000017552953,0.00034893356,0.00011249785,0.00065121416,0.01602541,4.5744116e-7,0.4309157,0.0000050848234,0.00020004148],"study_design_scores_gemma":[0.0011417856,0.00015608627,0.7418311,0.0000720851,0.00011882575,0.000055041037,0.00027974928,0.0038621216,0.000011817052,0.24984959,0.0020706523,0.00055111694],"about_ca_topic_score_codex":0.9990386,"about_ca_topic_score_gemma":0.9999927,"teacher_disagreement_score":0.19013661,"about_ca_system_score_codex":0.0075945924,"about_ca_system_score_gemma":0.004380015,"threshold_uncertainty_score":0.9998953},"labels":[],"label_agreement":null},{"id":"W1994346625","doi":"10.2307/3552276","title":"Earnings Variability and Earnings Instability of Women and Men in Canada: How Do the 1990s Compare to the 1980s?","year":2003,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Demographic economics; Economics; Accounting","score_opus":0.014828640160601599,"score_gpt":0.19401779126503035,"score_spread":0.17918915110442876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994346625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95423454,0.00011164134,0.0000130726685,0.032804187,0.000057516016,0.00030041713,0.00049279956,0.0000039617817,0.011981838],"genre_scores_gemma":[0.99826896,0.00003458096,0.000022869106,0.0014498763,0.000028027167,0.00004205552,0.00000499632,0.000010619636,0.00013801118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832386,0.00019405034,0.0003937153,0.00036692512,0.000055841578,0.00066559605],"domain_scores_gemma":[0.99841607,0.00023848379,0.00018701244,0.0005120807,0.00005977696,0.00058659195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040051616,0.00014684106,0.00036424855,0.00022912397,0.00019717171,0.0001487168,0.00031226999,0.000053016094,0.000095017225],"category_scores_gemma":[0.0039719874,0.00011850174,0.000025264504,0.0007621778,0.00015096742,0.00013735198,0.00007598787,0.00024485638,0.0000014926759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001937341,0.0000053929316,0.69243,0.000014220405,0.000011382607,6.329744e-7,0.001315072,0.000006013056,2.2917024e-7,0.30518526,0.0002384408,0.0007914151],"study_design_scores_gemma":[0.00016454929,0.000010271347,0.7769916,0.000002680377,8.5324325e-7,0.0000018373122,0.00044724793,0.00018976047,3.2258234e-7,0.014377274,0.2076952,0.000118422315],"about_ca_topic_score_codex":0.9928946,"about_ca_topic_score_gemma":0.9927373,"teacher_disagreement_score":0.29080796,"about_ca_system_score_codex":0.0025007532,"about_ca_system_score_gemma":0.0031698016,"threshold_uncertainty_score":0.65393823},"labels":[],"label_agreement":null},{"id":"W1994415226","doi":"10.1111/j.1468-232x.2006.00423.x","title":"Output Pay and Ethnic Wage Differentials: Canadian Evidence","year":2006,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Earnings; Tying; Productivity; Wage; Economics; Labour economics; Ethnic group; Payment; Demographic economics; Political science; Accounting; Finance","score_opus":0.0912611749531249,"score_gpt":0.25261010673591167,"score_spread":0.16134893178278675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994415226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830203,0.0043487414,0.0017029456,0.00367822,0.00046884414,0.00014175555,0.00011585884,0.0000056578438,0.006517694],"genre_scores_gemma":[0.9974551,0.00086429407,0.00032685333,0.00015325629,0.0004392318,0.0000024446153,0.0000046278033,0.000009212751,0.000744982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870473,0.000039861232,0.00084320485,0.00017933302,0.000026271395,0.00020660329],"domain_scores_gemma":[0.998761,0.00028834015,0.00058409927,0.00011824609,0.0000687037,0.0001796405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015361437,0.00011751374,0.0003487452,0.00011908125,0.0002146309,0.00014945056,0.000106163076,0.00025330845,0.00014137178],"category_scores_gemma":[0.0002408591,0.00010746417,0.00016295305,0.00014189673,0.00009245004,0.00049601967,0.000029448945,0.00045972897,0.000006416989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024938643,0.000066996305,0.52010965,0.000016472848,0.00024178336,0.000009024106,0.0009872908,0.00017080612,0.0000050539916,0.4647508,0.005169654,0.008447549],"study_design_scores_gemma":[0.0028433036,0.0001834515,0.49633682,0.00016684755,0.00009371665,0.000048095957,0.0004872453,0.0039859056,0.0000070580863,0.37433362,0.12090863,0.0006052941],"about_ca_topic_score_codex":0.01092065,"about_ca_topic_score_gemma":0.0029236858,"teacher_disagreement_score":0.11573897,"about_ca_system_score_codex":0.0001727732,"about_ca_system_score_gemma":0.00017017542,"threshold_uncertainty_score":0.9956657},"labels":[],"label_agreement":null},{"id":"W1994832119","doi":"10.1007/bf02298490","title":"Projecting the U.S. gender wage gap 2000–40","year":2003,"lang":"en","type":"article","venue":"Atlantic Economic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Wage; Panel Study of Income Dynamics; Educational attainment; Census; Economics; Demographic economics; Gender pay gap; Public finance; Order (exchange); Distribution (mathematics); Labour economics; Population; Economic growth; Sociology; Demography; Macroeconomics","score_opus":0.05298375457638556,"score_gpt":0.2440608272139873,"score_spread":0.19107707263760176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994832119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8869218,0.0011076859,0.001959146,0.0007464276,0.00174141,0.00017392129,0.000027756158,0.000023454262,0.10729837],"genre_scores_gemma":[0.9970016,0.00049405365,0.00048213368,0.00051556487,0.00042405393,0.0000073238743,0.000004004879,0.00003558744,0.0010356846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799484,0.00009515783,0.0009936648,0.00034744732,0.00003705342,0.0005318487],"domain_scores_gemma":[0.99860424,0.0001536923,0.0006749438,0.00041121372,0.00002836921,0.00012754355],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035762272,0.00020653885,0.00039075894,0.00013092891,0.00044572324,0.0003741258,0.00039998675,0.00009925419,0.0017370547],"category_scores_gemma":[0.00022849721,0.00017122859,0.00022051527,0.000106229345,0.00006602405,0.0002882927,0.000048776077,0.00050736574,0.0007868758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000130455455,0.000040889285,0.28060588,0.000010676415,0.0001431657,0.000019800436,0.00059034233,0.00020925289,0.000004958164,0.71665657,0.0012988215,0.00040660537],"study_design_scores_gemma":[0.0017715525,0.00007610607,0.08459473,0.000028001661,0.000038751023,0.0011486455,0.0007428333,0.005958485,0.000027101745,0.7207595,0.18392085,0.0009334346],"about_ca_topic_score_codex":0.0002968115,"about_ca_topic_score_gemma":0.00006706976,"teacher_disagreement_score":0.19601117,"about_ca_system_score_codex":0.00035581368,"about_ca_system_score_gemma":0.0001625661,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W1995312300","doi":"10.7202/050391ar","title":"Workplace Relations, Skills-Training and Technological Change at Plant-Level","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Technological change; Industrial relations; Automation; Psychology; Knowledge management; Business; Engineering; Management; Computer science; Economics; Mechanical engineering; Geography; Artificial intelligence","score_opus":0.08133988488584956,"score_gpt":0.2402932933542407,"score_spread":0.15895340846839115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995312300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94799554,0.0032237258,0.0025999388,0.01275391,0.00015620385,0.0003391041,0.0009577287,0.00016167131,0.0318122],"genre_scores_gemma":[0.98628515,0.00048131973,0.0028536336,0.00017221205,0.00014463686,0.00003970914,0.00010742498,0.000017977321,0.009897919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988186,0.000024433153,0.0004961995,0.00035362178,0.000044420183,0.0002627612],"domain_scores_gemma":[0.9991558,0.0002451067,0.00023015433,0.00026426886,0.000021323962,0.00008332759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161726,0.00014919386,0.00024284435,0.00022270034,0.0003556787,0.000051498213,0.00012986774,0.0004593271,0.0005890629],"category_scores_gemma":[0.00041322142,0.00016250114,0.000048214493,0.00038657768,0.00012068503,0.00026024212,0.00012077534,0.00041574336,0.00034463135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006049915,0.00007779787,0.288845,0.0000014434098,0.000034964592,0.0000030539588,0.00077130325,0.00012940608,0.0000015023978,0.6841453,0.0014373821,0.024546832],"study_design_scores_gemma":[0.00087126845,0.0000402633,0.20200214,0.000058206228,0.00001841024,0.000031967662,0.0004673884,0.009243488,0.000014644034,0.05230593,0.7343318,0.00061449123],"about_ca_topic_score_codex":0.000037808022,"about_ca_topic_score_gemma":0.00006737535,"teacher_disagreement_score":0.7328944,"about_ca_system_score_codex":0.00018005584,"about_ca_system_score_gemma":0.000020225865,"threshold_uncertainty_score":0.6626604},"labels":[],"label_agreement":null},{"id":"W1995905266","doi":"10.1177/0170840611421250","title":"Cross-Level Dynamics between Changing Organizations and Career Patterns of Reduced-Load Professionals","year":2011,"lang":"en","type":"article","venue":"Organization Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Queen's University","funders":"","keywords":"Dynamics (music); Work (physics); Decoupling (probability); Context (archaeology); Career development; Business; Marketing; Public relations; Demographic economics; Economics; Psychology; Social psychology; Political science; Engineering","score_opus":0.09653645501707901,"score_gpt":0.2906101809055053,"score_spread":0.19407372588842625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995905266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820551,0.00050324074,0.014964416,0.00023535803,0.00026831555,0.00015245164,0.0010057575,0.000040330084,0.00077501696],"genre_scores_gemma":[0.99745065,0.00034875693,0.0006595849,0.00007039186,0.0000612285,0.0000054680586,0.00011047615,0.000037769518,0.0012556488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886787,0.000019615325,0.0005741095,0.00028692945,0.00006263814,0.00018883984],"domain_scores_gemma":[0.9983837,0.000059677855,0.00038885733,0.0002132217,0.0009098051,0.0000447115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048588926,0.00013937271,0.00037657304,0.00016605023,0.00022772707,0.000028317083,0.00012872888,0.000084894615,0.00022110519],"category_scores_gemma":[0.0009316477,0.00014487504,0.000021806833,0.00087427656,0.00007036924,0.00019792773,0.00023927237,0.00007021204,0.000016049267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013810478,0.000034669847,0.8914764,0.00006959101,0.000108118926,4.8209284e-7,0.0063730967,0.0000018850548,0.000010502877,0.101772144,0.000015101957,0.00013661213],"study_design_scores_gemma":[0.00028023653,0.000020475105,0.9857211,0.000043488137,0.000021255742,0.0000010527483,0.0018726512,0.000090399924,0.0006104978,0.011060096,0.000051541894,0.0002271756],"about_ca_topic_score_codex":0.00011301144,"about_ca_topic_score_gemma":0.000049763483,"teacher_disagreement_score":0.09424471,"about_ca_system_score_codex":0.00012305962,"about_ca_system_score_gemma":0.000035195735,"threshold_uncertainty_score":0.5907833},"labels":[],"label_agreement":null},{"id":"W1996927993","doi":"10.1162/jeea.2006.4.2-3.503","title":"Specialization and Human Capital in Search Equilibrium","year":2006,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Human capital; General equilibrium theory; Matching (statistics); Unemployment; Investment (military); Affect (linguistics); Microeconomics; Physical capital; Labour economics; Capital (architecture); Macroeconomics; Market economy","score_opus":0.014497443294251717,"score_gpt":0.21491033880189647,"score_spread":0.20041289550764477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996927993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619979,0.0001004039,0.00009084123,0.00070575293,0.0005119078,0.000057713376,0.000029634779,0.000003410472,0.036502384],"genre_scores_gemma":[0.99784166,0.000023176466,0.00003411636,0.000041587493,0.0006330051,1.9494776e-7,0.0000035375633,0.000015016329,0.0014077228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987787,0.00015696653,0.00078176317,0.00011146925,0.000035511614,0.00013559169],"domain_scores_gemma":[0.9987419,0.000044042477,0.0010551686,0.00010591955,0.00002978148,0.000023147055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003533982,0.000069205526,0.0002034726,0.00011962968,0.000053132804,0.00010143939,0.00017151955,0.00003724127,0.00004533354],"category_scores_gemma":[0.00008822247,0.00006622871,0.000080496946,0.00006776887,0.000017021526,0.0002580039,0.00006638861,0.00015119696,0.000029604804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044119147,0.000030626914,0.88552445,0.000004337525,0.000016028443,0.0000019651704,0.00015306937,0.0011004481,0.00007937564,0.112677455,0.00027837485,0.00012945238],"study_design_scores_gemma":[0.0005157441,0.000017362501,0.93981546,0.00000911766,0.0000035862913,0.0000028567285,0.00002341156,0.0004040322,0.00001680597,0.057587337,0.001524414,0.0000798689],"about_ca_topic_score_codex":0.00030245856,"about_ca_topic_score_gemma":0.00019832545,"teacher_disagreement_score":0.05509012,"about_ca_system_score_codex":0.0007288726,"about_ca_system_score_gemma":0.000016357977,"threshold_uncertainty_score":0.27007285},"labels":[],"label_agreement":null},{"id":"W1997407355","doi":"10.1108/01437721011057038","title":"Slicing and dicing the gender/racial earnings differentials","year":2010,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earnings; Human capital; Economics; Ranking (information retrieval); Demographic economics; Optimal distinctiveness theory; Race (biology); Labour economics; Accounting; Psychology; Sociology; Economic growth","score_opus":0.019198256071623107,"score_gpt":0.2489727768602644,"score_spread":0.2297745207886413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997407355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98630565,0.00015852024,0.003467403,0.0021630558,0.0029139752,0.00003348815,0.00001782354,0.0000042149272,0.004935879],"genre_scores_gemma":[0.9983583,0.00009789559,0.00024750383,0.00041178177,0.00067246275,7.0465836e-7,0.0000013760325,0.000009593618,0.00020036667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914086,0.000016864838,0.0005287772,0.000107511434,0.000099952296,0.00010606233],"domain_scores_gemma":[0.9989915,0.00011574588,0.0006005179,0.00009728241,0.00014755146,0.000047400372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011667646,0.00007755325,0.00017565253,0.00013060418,0.00006631871,0.00015587421,0.00033644453,0.000049481525,0.00042352948],"category_scores_gemma":[0.00036718466,0.000057679863,0.00008976346,0.000041404666,0.00005492245,0.0001889106,0.00008572367,0.00035578274,0.000012309984],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009418584,0.00009457895,0.42085212,0.00000853187,0.0003360599,0.00004461794,0.0026129184,0.000025943684,0.0020774822,0.56856424,0.00032095253,0.0049683554],"study_design_scores_gemma":[0.000954246,0.000050522038,0.7722385,0.000024704263,0.000016339978,0.0001456014,0.00013810639,0.0010244172,0.00012302461,0.16812691,0.056953046,0.00020457612],"about_ca_topic_score_codex":0.000057402103,"about_ca_topic_score_gemma":0.000027127562,"teacher_disagreement_score":0.40043733,"about_ca_system_score_codex":0.000023232937,"about_ca_system_score_gemma":0.000011825905,"threshold_uncertainty_score":0.46373507},"labels":[],"label_agreement":null},{"id":"W1997616723","doi":"10.2202/1935-1690.2117","title":"The Impact of Aggregate and Sectoral Fluctuations on Training Decisions","year":2010,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Acadia University; Toronto Metropolitan University","funders":"","keywords":"Economics; Productivity; Shock (circulatory); Position (finance); Training (meteorology); Aggregate (composite); Production (economics); Order (exchange); Reservation; Work (physics); Labour economics; Macroeconomics; Computer science; Finance","score_opus":0.037902580312501336,"score_gpt":0.27878058689918556,"score_spread":0.24087800658668423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997616723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618983,0.00034044834,0.00029698873,0.00095562555,0.0004991901,0.00007553307,0.00013536426,0.0000025861395,0.0015044375],"genre_scores_gemma":[0.9982259,0.0011948961,0.00029585566,0.000060303486,0.00014276596,8.754404e-7,0.0000010336222,0.000014049833,0.000064288855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886626,0.000033751847,0.00080855045,0.000089388006,0.000029026534,0.00017302664],"domain_scores_gemma":[0.9974207,0.0009932986,0.001119008,0.0003147164,0.00007305932,0.00007917678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029518404,0.000107810374,0.0003038224,0.00008280684,0.00019062487,0.0000800809,0.00038979357,0.00005622444,0.00006221543],"category_scores_gemma":[0.00059870316,0.00006495192,0.0001840313,0.00008240568,0.00016883903,0.00012660021,0.000050483366,0.00039020472,0.000008548974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069496484,0.00017866226,0.05187902,0.000008774277,0.0007174776,0.0000045305196,0.004444419,0.006516808,0.0012019203,0.88225985,0.0006915262,0.051402025],"study_design_scores_gemma":[0.001262307,0.00044163284,0.2839365,0.000028209459,0.000031223142,0.00013094179,0.0004033722,0.014876888,0.000105281775,0.6939138,0.0046139946,0.00025585637],"about_ca_topic_score_codex":0.00010783155,"about_ca_topic_score_gemma":0.0001525395,"teacher_disagreement_score":0.23205747,"about_ca_system_score_codex":0.000051184816,"about_ca_system_score_gemma":0.000077020515,"threshold_uncertainty_score":0.26486623},"labels":[],"label_agreement":null},{"id":"W1997853033","doi":"10.7202/011391ar","title":"Un modèle économétrique dynamique de l’abandon scolaire au Québec et en Ontario","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.026643611925490085,"score_gpt":0.22134061741847053,"score_spread":0.19469700549298044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997853033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88904613,0.0034636566,0.0142946355,0.053250466,0.00145442,0.00088240573,0.0010464375,0.00014296413,0.036418904],"genre_scores_gemma":[0.9414444,0.0016872684,0.007608018,0.007565997,0.0011140797,0.00021427954,0.00014373973,0.00018991757,0.04003232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.993751,0.000602792,0.0023695254,0.0015065969,0.000053336837,0.0017167678],"domain_scores_gemma":[0.99567336,0.0010395574,0.0011755434,0.0013578832,0.00011678013,0.00063688646],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0052695805,0.0009300385,0.0016082631,0.0004035108,0.00037257676,0.00047360515,0.0010095304,0.0013031599,0.0026201492],"category_scores_gemma":[0.0005833402,0.0012562982,0.00072462606,0.00030302134,0.00027806903,0.0014970235,0.0003987209,0.0015805627,0.0007700693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014911445,0.0006467782,0.16644193,0.00017374303,0.00041174967,0.000033279317,0.017033868,0.0040051173,0.000017689683,0.7927337,0.0002167528,0.01813626],"study_design_scores_gemma":[0.0028729567,0.0003087995,0.13521063,0.00027839845,0.00008477236,0.000105252766,0.00029294562,0.033928283,0.00034734333,0.121526815,0.7028522,0.0021916036],"about_ca_topic_score_codex":0.86041665,"about_ca_topic_score_gemma":0.9689449,"teacher_disagreement_score":0.70263547,"about_ca_system_score_codex":0.019435937,"about_ca_system_score_gemma":0.0055455924,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W1999554148","doi":"10.1080/00036840500244519","title":"Literacy and labour market outcomes: self-assessment versus test score measures","year":2005,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Queen's University","funders":"","keywords":"Test (biology); Econometrics; Literacy; Variable (mathematics); Measure (data warehouse); Outcome (game theory); Test score; Economics; Actuarial science; Latent variable; Psychology; Statistics; Mathematics; Standardized test; Computer science","score_opus":0.02031643555692674,"score_gpt":0.2419497626688056,"score_spread":0.22163332711187886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999554148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193709,0.00025810944,0.00035444918,0.0013841611,0.00041513977,0.0003176203,0.0004996953,0.000105300234,0.077294655],"genre_scores_gemma":[0.9887229,0.001144962,0.008260537,0.0009811327,0.00021822126,0.0000668713,0.000030052164,0.000055441706,0.0005198439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979329,0.000012269794,0.0008833961,0.00068562955,0.00003383843,0.0004519849],"domain_scores_gemma":[0.99842966,0.00035050738,0.0004194856,0.0005890721,0.000027633792,0.0001836175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010255872,0.0003225381,0.0006207396,0.00016204373,0.00016431237,0.000311558,0.000307246,0.00016221081,0.00038662957],"category_scores_gemma":[0.00005026101,0.00037277667,0.00010886214,0.00011777021,0.000051182804,0.0003562524,0.00016873573,0.00023461248,0.00019273644],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044041906,0.00016643477,0.25024045,0.000027262107,0.00012558558,8.176088e-7,0.00018782476,0.0000814675,0.00000222385,0.7415998,0.00013811425,0.00738601],"study_design_scores_gemma":[0.004009493,0.00008151425,0.6973397,0.000007852306,0.000027309361,0.000003408313,0.00006731014,0.006700066,0.0000122311185,0.13662018,0.15419608,0.00093482394],"about_ca_topic_score_codex":0.00007946898,"about_ca_topic_score_gemma":0.00011888553,"teacher_disagreement_score":0.6049796,"about_ca_system_score_codex":0.00043383555,"about_ca_system_score_gemma":0.00005314734,"threshold_uncertainty_score":0.99987245},"labels":[],"label_agreement":null},{"id":"W1999595184","doi":"","title":"La main-d'oeuvre Hautement Qualifiée : Guide des Données Disponibles sur la Rémunération au Canada","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Agricultural science; Geography; Biology","score_opus":0.03988760417438477,"score_gpt":0.28315167794693297,"score_spread":0.2432640737725482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999595184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6656868,0.0011833106,0.0000439267,0.0017888752,0.0010974788,0.00084502564,0.0029693895,0.000028965287,0.32635623],"genre_scores_gemma":[0.861927,0.09259969,0.0011501396,0.00022765652,0.0005277888,0.00038396084,0.000621276,0.00018808738,0.042374454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99063164,0.0015161858,0.0032918428,0.002176664,0.00030383328,0.0020798347],"domain_scores_gemma":[0.99299043,0.0033452963,0.0009818092,0.0019892638,0.00019395228,0.00049922324],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012640998,0.0008794994,0.0016703275,0.00076848344,0.00065066427,0.00077088235,0.0016017047,0.0011257391,0.0009675055],"category_scores_gemma":[0.0015944527,0.001156657,0.00044112199,0.0004689569,0.0010242444,0.00047152187,0.0010913988,0.0024148216,0.000040343824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00038874365,0.00093008333,0.23202659,0.0016487509,0.0006949731,0.0003635941,0.0026556102,0.0564756,0.000010511334,0.441586,0.00093394355,0.26228562],"study_design_scores_gemma":[0.0011781997,0.00008815546,0.14023678,0.00080558064,0.000018786179,0.00002584267,0.0008442774,0.02087914,0.000011678551,0.03675829,0.7978407,0.0013125596],"about_ca_topic_score_codex":0.7090389,"about_ca_topic_score_gemma":0.9254746,"teacher_disagreement_score":0.79690677,"about_ca_system_score_codex":0.013016615,"about_ca_system_score_gemma":0.00627188,"threshold_uncertainty_score":0.99994576},"labels":[],"label_agreement":null},{"id":"W2000079489","doi":"10.1080/0964529042000325180","title":"Youth unemployment and labour market transitions in Hungary","year":2005,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"European Commission","keywords":"Unemployment; Economics; Labour economics; Diversity (politics); Work (physics); School-to-work transition; Panel data; Position (finance); Longitudinal data; Youth unemployment; Duration (music); Demographic economics; Vocational education; Econometrics; Macroeconomics; Economic growth; Sociology","score_opus":0.02013833595539091,"score_gpt":0.2276392879809326,"score_spread":0.2075009520255417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000079489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659441,0.0005835517,0.00022278828,0.006689956,0.00040786923,0.00017080957,0.00038299806,0.000018678718,0.025579212],"genre_scores_gemma":[0.9945134,0.00062762847,0.001386614,0.001289911,0.00018827764,0.00003161582,0.000058767026,0.000019080398,0.0018846991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989265,0.00001837048,0.00054010365,0.00031679566,0.000009906945,0.00018829263],"domain_scores_gemma":[0.99948275,0.000023937913,0.00015875186,0.00023311634,0.000016562648,0.00008486769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053818704,0.000116469084,0.00021750072,0.00019827695,0.000058372858,0.00007194521,0.00010211466,0.00007303835,0.0004929776],"category_scores_gemma":[0.000028458382,0.00015767741,0.000041197687,0.000107220556,0.000030884577,0.0002900467,0.000022157119,0.00010762358,0.00006396562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012901951,0.0002928285,0.12531146,0.000017513672,0.00001620258,1.4497515e-7,0.002208496,0.00028379774,8.2132715e-7,0.8651952,0.00021160694,0.006449027],"study_design_scores_gemma":[0.0012187135,0.000042775184,0.5318352,0.000028465916,0.000010268181,0.0000057133725,0.0023436558,0.012199457,0.000009749419,0.3087908,0.14279754,0.00071766006],"about_ca_topic_score_codex":0.00021749991,"about_ca_topic_score_gemma":0.0004983886,"teacher_disagreement_score":0.5564044,"about_ca_system_score_codex":0.00022456415,"about_ca_system_score_gemma":0.00007821442,"threshold_uncertainty_score":0.6429898},"labels":[],"label_agreement":null},{"id":"W2000106195","doi":"10.3138/cpp.2013-071","title":"Firm-Sponsored Classroom Training: Is It Worth It for Older Workers?","year":2014,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"HEC Montréal; University of Toronto","keywords":"Productivity; Human capital; Training (meteorology); Incentive; Wage; Investment (military); Labour economics; Economics; Business; Wage growth; Demographic economics; Economic growth; Microeconomics; Political science","score_opus":0.06259746707036395,"score_gpt":0.26266038056360025,"score_spread":0.2000629134932363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000106195","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29192168,0.00034812742,0.0074540535,0.39377645,0.0012967236,0.0010297075,0.0061609386,0.000110312765,0.29790202],"genre_scores_gemma":[0.9532892,0.00002858075,0.00046715207,0.028637951,0.0006963517,0.00009581235,0.0001378144,0.000060388444,0.016586712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974351,0.000037741116,0.00067844044,0.0006076124,0.000051908697,0.001189177],"domain_scores_gemma":[0.99767846,0.00017699559,0.00027462377,0.00069888966,0.000095319774,0.0010756829],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014030772,0.00026099334,0.00049235683,0.00091611256,0.0002916681,0.0003603005,0.00056192826,0.00026303678,0.0012262972],"category_scores_gemma":[0.0015366541,0.00031849308,0.00022738424,0.000760199,0.00008882473,0.0002950345,0.000038100756,0.00020043382,0.00022972857],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007649532,0.000022316744,0.031300012,0.000024891851,0.0000713432,0.0000017453062,0.0010818698,0.000002812809,2.5738206e-7,0.8604396,0.09005712,0.016990364],"study_design_scores_gemma":[0.00065641635,0.00002839134,0.036600873,0.000011321544,0.000004563155,0.0000023834643,0.00016495126,0.0031441795,4.5711457e-7,0.076129824,0.8828717,0.00038497816],"about_ca_topic_score_codex":0.09295856,"about_ca_topic_score_gemma":0.17138769,"teacher_disagreement_score":0.79281455,"about_ca_system_score_codex":0.0006374825,"about_ca_system_score_gemma":0.0013288775,"threshold_uncertainty_score":0.9999267},"labels":[],"label_agreement":null},{"id":"W2002087861","doi":"10.1111/0008-4085.00051","title":"Coordination, matching, and wages","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"","keywords":"Wage; Welfare economics; Economics; Humanities; Unemployment; Microeconomics; Labour economics; Philosophy; Macroeconomics","score_opus":0.07100449068109158,"score_gpt":0.1791685429326949,"score_spread":0.10816405225160333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002087861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474625,0.014786797,0.000082412684,0.02397886,0.004440354,0.0002528656,0.0020535875,0.0000061779097,0.0069364244],"genre_scores_gemma":[0.9630533,0.006739237,0.0007900284,0.0012897248,0.0011257945,0.000007907503,0.00003093266,0.00009918113,0.026863927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959543,0.000099893696,0.002133074,0.00064103573,0.0000022149484,0.0011695089],"domain_scores_gemma":[0.99554247,0.00020879596,0.0013167062,0.0005389622,0.0002003255,0.0021927708],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022302698,0.00047292025,0.0012598457,0.0008722182,0.00033689424,0.00052086095,0.000653121,0.00048844743,0.0059116115],"category_scores_gemma":[0.00024029586,0.0007104206,0.00033960384,0.00022685555,0.00045227094,0.0010982222,0.000028155004,0.00067364913,0.00014224261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040362862,0.000027047336,0.028988607,0.00012083957,0.00027062895,0.00017923015,0.0017594326,0.002384182,5.498309e-7,0.9367184,0.00093344477,0.028577266],"study_design_scores_gemma":[0.0007985757,0.00024041867,0.006276643,0.00017262109,0.00004571649,0.000590922,0.00023345508,0.0027117352,0.0000028903885,0.69088453,0.2974235,0.0006189456],"about_ca_topic_score_codex":0.3802754,"about_ca_topic_score_gemma":0.9566568,"teacher_disagreement_score":0.5763814,"about_ca_system_score_codex":0.0023162921,"about_ca_system_score_gemma":0.001131889,"threshold_uncertainty_score":0.99953467},"labels":[],"label_agreement":null},{"id":"W2002645966","doi":"10.1177/0021909609350041","title":"Unemployment, Trade Liberalization and Adjustment in Post-Transition South Africa","year":2009,"lang":"en","type":"article","venue":"Journal of Asian and African Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Unemployment; Economics; Free trade; Liberalization; International economics; Trade barrier; Government (linguistics); Investment (military); Flexibility (engineering); Labour economics; Development economics; Market economy; Economic growth; Politics; Political science","score_opus":0.02834520925607938,"score_gpt":0.2411291383600273,"score_spread":0.21278392910394792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002645966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96170104,0.02163498,0.00040988182,0.012704956,0.00014891966,0.00011582472,0.00006217334,0.0000071079576,0.0032151109],"genre_scores_gemma":[0.99567837,0.0036266744,0.00029475032,0.00029313064,0.000063907064,9.460402e-7,0.0000011188919,0.00000491734,0.000036202142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99918604,0.00002318205,0.00049942976,0.00012386142,0.00003811991,0.00012938486],"domain_scores_gemma":[0.99951124,0.000020946314,0.00032806394,0.00005309466,0.000031248044,0.000055376444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039912123,0.00009589154,0.00034251544,0.00019508967,0.000043989756,0.000027787966,0.00004141797,0.000032087028,0.0000044396565],"category_scores_gemma":[0.00004661303,0.00008553682,0.00004416913,0.00015742338,0.000040671108,0.00015530857,0.000011235206,0.0000896844,4.135178e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007614693,0.0012600904,0.054517288,0.00026752686,0.0009848067,0.00016750106,0.3247405,0.00025258926,0.0002867827,0.52080834,0.0009843708,0.094968736],"study_design_scores_gemma":[0.0021703208,0.001170557,0.8225662,0.00012254159,0.000046227422,0.00002981289,0.01826096,0.00029686786,0.000011318333,0.15148838,0.003482789,0.00035404725],"about_ca_topic_score_codex":0.000004235324,"about_ca_topic_score_gemma":0.0000080918335,"teacher_disagreement_score":0.7680489,"about_ca_system_score_codex":0.000051599967,"about_ca_system_score_gemma":0.000008199787,"threshold_uncertainty_score":0.34880903},"labels":[],"label_agreement":null},{"id":"W2003299015","doi":"10.1080/00074918.2015.1016569","title":"Gender Discrimination in Earnings in Indonesia: A Fuller Picture","year":2015,"lang":"en","type":"article","venue":"Bulletin of Indonesian Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Distribution (mathematics); Gender gap; Work (physics); Economics; Quarter (Canadian coin); Demographic economics; Decomposition; Gender pay gap; Labour economics; Econometrics; Geography; Wage; Mathematics","score_opus":0.06145061085933398,"score_gpt":0.26569663460944043,"score_spread":0.20424602375010645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003299015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98095655,0.0024339883,0.00007228553,0.0023510337,0.00042879232,0.0002725513,0.000047783207,0.000016967393,0.013420031],"genre_scores_gemma":[0.9986278,0.00043478247,0.00033080406,0.00018592809,0.0000765205,0.00006508302,0.000010718935,0.00002801637,0.00024036958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787056,0.00006878695,0.0011898993,0.00048645528,0.000044414326,0.0003398808],"domain_scores_gemma":[0.998902,0.00013065258,0.0005568943,0.00029111502,0.00004850626,0.00007078506],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017365869,0.00023397316,0.00082945224,0.00049025705,0.000032135493,0.000024372495,0.00023947739,0.00014961652,0.000119416945],"category_scores_gemma":[0.0002976594,0.0002582123,0.0000940507,0.00016829268,0.00012244619,0.000084112304,0.00015643594,0.00021914688,0.00015882644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009020227,0.00012038362,0.9022471,0.000089274356,0.00007220326,0.0000144718715,0.005878301,0.00050150265,0.000001528897,0.08992935,0.0007737401,0.00028199347],"study_design_scores_gemma":[0.0030631055,0.000084620304,0.9419742,0.00006861562,0.0000075251637,0.0000055729397,0.006892085,0.00031549932,0.000014186314,0.038506817,0.00859761,0.0004701276],"about_ca_topic_score_codex":0.00081847684,"about_ca_topic_score_gemma":0.00046271924,"teacher_disagreement_score":0.051422533,"about_ca_system_score_codex":0.00046625527,"about_ca_system_score_gemma":0.00004823131,"threshold_uncertainty_score":0.999987},"labels":[],"label_agreement":null},{"id":"W2003531083","doi":"10.1108/01437720510609546","title":"Projections of the future path of the gender wage gap in Great Britain","year":2005,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Wage; Human capital; Economics; Educational attainment; Originality; Wage growth; Demographic economics; Labour economics; Convergence (economics); Distribution (mathematics); Value (mathematics); Order (exchange); Career path; Gender gap; Sociology; Economic growth; Management; Social science","score_opus":0.023099015665705245,"score_gpt":0.24606885716294896,"score_spread":0.22296984149724372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003531083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822516,0.0005354742,0.00025726538,0.0053774873,0.0017674542,0.00008502945,0.00011826931,0.0000013615663,0.009606045],"genre_scores_gemma":[0.99855,0.0001547229,0.00019837725,0.00024493525,0.00030836608,0.0000012105097,7.619837e-7,0.0000068767854,0.0005347577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893254,0.000038039863,0.00072922313,0.00008540353,0.00012965544,0.00008510932],"domain_scores_gemma":[0.9987665,0.000038737056,0.0008058798,0.00017224024,0.00019910432,0.000017586382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076843554,0.000067856214,0.00017806629,0.00013573571,0.000019975021,0.000018791832,0.00055092585,0.000052319097,0.0002563026],"category_scores_gemma":[0.00011152488,0.000044184562,0.00021345666,0.00015932528,0.000047543836,0.00014602882,0.00008892564,0.0002097661,0.0000030934193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007953102,0.0003509782,0.6471882,0.000014779138,0.00020086754,0.000006661289,0.0010614201,0.00087606366,0.00009602254,0.34693214,0.001166258,0.0020270783],"study_design_scores_gemma":[0.0009061415,0.000028418002,0.90374863,0.00006781263,0.000008693996,0.00003738834,0.00019586485,0.00078023353,0.00015282496,0.057276122,0.036694005,0.00010385973],"about_ca_topic_score_codex":0.000083772495,"about_ca_topic_score_gemma":0.00016679711,"teacher_disagreement_score":0.289656,"about_ca_system_score_codex":0.00012387744,"about_ca_system_score_gemma":0.000044408534,"threshold_uncertainty_score":0.28063336},"labels":[],"label_agreement":null},{"id":"W2003956237","doi":"10.1086/651167","title":"Ability Bias and the Rising Education Premium in the United States: A Cohort‐Based Analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Human Capital","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Earnings; Educational attainment; Demographic economics; Cohort; Economics; Demography; Cohort effect; Psychology; Medicine; Sociology; Economic growth; Internal medicine","score_opus":0.025005714564679142,"score_gpt":0.2634575661000517,"score_spread":0.23845185153537257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003956237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995472,0.0006158449,0.0003677825,0.002680724,0.000072814895,0.00013303015,0.000021203818,0.000002455565,0.0006341172],"genre_scores_gemma":[0.9989532,0.00009334834,0.0000643428,0.0007837034,0.000065180895,0.000001952031,0.000018839648,0.000003723404,0.000015702914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987541,0.00016483416,0.0007652435,0.00012654634,0.000070330985,0.00011895918],"domain_scores_gemma":[0.9986856,0.00023891211,0.0007116724,0.0002321627,0.00009632472,0.000035354777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004816913,0.00008718871,0.00033329029,0.00039499626,0.00010741574,0.00016676822,0.00021182335,0.000039443326,0.000035188576],"category_scores_gemma":[0.00024435236,0.00005487998,0.00016651134,0.00057862647,0.000086484026,0.00014073431,0.000010481194,0.00023892934,8.729058e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010883023,0.00043660527,0.8148875,0.00001483438,0.00021228641,0.000005421319,0.0058869934,0.0014744464,0.0000053383264,0.17649783,0.00010073397,0.00036915665],"study_design_scores_gemma":[0.0006821402,0.00007813684,0.78057134,0.000008841113,0.00007068737,0.0000034107343,0.00071715104,0.005764176,0.0000010848759,0.21184437,0.000183458,0.00007522172],"about_ca_topic_score_codex":0.00065296784,"about_ca_topic_score_gemma":0.00014608308,"teacher_disagreement_score":0.035346545,"about_ca_system_score_codex":0.000091665286,"about_ca_system_score_gemma":0.000036259196,"threshold_uncertainty_score":0.22379407},"labels":[],"label_agreement":null},{"id":"W2004240070","doi":"10.1080/09645290210127453","title":"Post-College Schooling, Overeducation, and Hourly Earnings in the United States","year":2003,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Human capital; Economics; Educational attainment; Wage; Labour economics; Bachelor; Underemployment; Census; Demographic economics; Unemployment; Population; Sociology; Economic growth; Political science","score_opus":0.013925831609173739,"score_gpt":0.22796923546845235,"score_spread":0.2140434038592786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004240070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859282,0.00046577764,0.0000727774,0.0039356216,0.0005658279,0.00022087265,0.00018713214,0.000011457993,0.008612365],"genre_scores_gemma":[0.99473244,0.00084626157,0.00045914715,0.002903931,0.000074398566,0.00004630289,0.00018395623,0.000018734085,0.00073479954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989031,0.00006416374,0.00051560637,0.00030125733,0.000015310414,0.00020059058],"domain_scores_gemma":[0.9991344,0.00012435406,0.00030469097,0.00030857918,0.00006330332,0.00006466024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001289905,0.00012709836,0.00018537753,0.00030183687,0.00012154035,0.00014399015,0.00017386541,0.00007129781,0.00015797526],"category_scores_gemma":[0.00043030488,0.00013315605,0.00003598791,0.00028764157,0.000044008983,0.00026241833,0.000014714094,0.00017187094,0.00006410154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004158859,0.000114736125,0.18483451,0.000008987629,0.000008988878,1.0963799e-7,0.0017947523,0.0001282937,4.88752e-7,0.81252486,0.00043265472,0.00014748385],"study_design_scores_gemma":[0.0003870764,0.000033805307,0.33114985,0.000009348399,0.000004332661,0.000010176185,0.005495518,0.0010697865,0.0000055218698,0.40630156,0.2552366,0.00029641902],"about_ca_topic_score_codex":0.0019478253,"about_ca_topic_score_gemma":0.00020043719,"teacher_disagreement_score":0.4062233,"about_ca_system_score_codex":0.00015143843,"about_ca_system_score_gemma":0.00018428563,"threshold_uncertainty_score":0.5429946},"labels":[],"label_agreement":null},{"id":"W2004656445","doi":"10.1111/0008-4085.00062","title":"The Beveridge curve and unemployment fluctuations in Canada","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Employment and Social Development Canada","funders":"","keywords":"Beveridge curve; Humanities; Unemployment rate; Unemployment; Economics; Keynesian economics; Political science; Art; Macroeconomics","score_opus":0.08214434446728719,"score_gpt":0.18133138680138122,"score_spread":0.09918704233409403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004656445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93481624,0.01639626,0.000047027985,0.038679585,0.006901258,0.00031120167,0.0014912791,0.000001672549,0.0013554811],"genre_scores_gemma":[0.9811991,0.013630827,0.00013163986,0.0011362883,0.000522069,0.00001641506,0.000019239244,0.0000618574,0.0032825689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958265,0.00011744695,0.002235999,0.0004960397,0.000002965545,0.001321095],"domain_scores_gemma":[0.9957387,0.00053386285,0.0013646187,0.00055074994,0.00017368456,0.0016383907],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022702916,0.00038997643,0.0009384357,0.0005467389,0.0004001525,0.00035177605,0.00071760884,0.00022472543,0.0003435913],"category_scores_gemma":[0.0005451369,0.00048831437,0.00018524742,0.00031981152,0.0003147141,0.00053618324,0.00005044457,0.0006788435,0.000013188031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00003281792,0.000011162634,0.2823215,0.000027429818,0.00013880708,0.00027644218,0.00046338674,0.004093474,1.3153043e-7,0.70463884,0.00066100556,0.007335018],"study_design_scores_gemma":[0.0009986426,0.00015312327,0.08778834,0.00014174331,0.000030723488,0.0004895418,0.0009731351,0.014923704,0.0000014542837,0.4847375,0.4090902,0.00067190884],"about_ca_topic_score_codex":0.9975417,"about_ca_topic_score_gemma":0.9999962,"teacher_disagreement_score":0.4084292,"about_ca_system_score_codex":0.0127186235,"about_ca_system_score_gemma":0.008955802,"threshold_uncertainty_score":0.9997569},"labels":[],"label_agreement":null},{"id":"W2005734333","doi":"10.1080/00036840500215428","title":"Sampling variability: some observations from a labour supply equation","year":2005,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Calgary","funders":"Dalhousie University; University of Calgary","keywords":"Econometrics; Sampling (signal processing); Statistics; Range (aeronautics); Economics; Sampling distribution; Labour supply; Sample (material); Elasticity (physics); Wage; Mathematics; Computer science; Labour economics","score_opus":0.058612795173875416,"score_gpt":0.22651391563993709,"score_spread":0.16790112046606168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005734333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612771,0.000119670854,0.026126603,0.0021490287,0.00038133375,0.0003055466,0.0016764473,0.00009404084,0.007870218],"genre_scores_gemma":[0.9694683,0.00025836524,0.026638845,0.0021297527,0.0006887384,0.00008534695,0.00044593832,0.000046581783,0.00023811425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788284,0.000015277876,0.0010329626,0.0006705865,0.00002513932,0.00037318698],"domain_scores_gemma":[0.9984355,0.00028892924,0.00045657344,0.0006717729,0.000029646995,0.000117579126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011417352,0.00022571192,0.00048353168,0.00011861397,0.00016671146,0.0001881695,0.00033663,0.0001881671,0.00063889095],"category_scores_gemma":[0.00011512206,0.00030315193,0.00011449729,0.00014507593,0.000043612497,0.00052729656,0.000111980655,0.00019931694,0.000781912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015102286,0.00008255179,0.033849247,0.000007399385,0.000053186526,8.307798e-8,0.00018476274,0.0050818403,0.000050464143,0.95784795,0.000028143928,0.002799275],"study_design_scores_gemma":[0.0005396101,0.000007512592,0.097844124,0.0000028755883,0.0000077632585,2.2127574e-7,0.000030286099,0.015872717,0.0000471355,0.84888965,0.03640605,0.00035205774],"about_ca_topic_score_codex":0.00058715476,"about_ca_topic_score_gemma":0.00017137516,"teacher_disagreement_score":0.1089583,"about_ca_system_score_codex":0.00039516206,"about_ca_system_score_gemma":0.00004556748,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W2005850704","doi":"10.1016/j.labeco.2012.02.001","title":"Labor force participation and pair-wise efficient contracts with search and bargaining","year":2012,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unobservable; Counterfactual thinking; Economics; Wage; Constant (computer programming); Labour economics; Efficiency wage; Welfare; Microeconomics; Econometrics; Computer science","score_opus":0.025454868022047637,"score_gpt":0.23334630590981012,"score_spread":0.2078914378877625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005850704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534416,0.0011860977,0.0008837335,0.0004955852,0.00013752084,0.00021036071,0.00023488271,0.000045181903,0.0014625036],"genre_scores_gemma":[0.9977648,0.0003444368,0.0009915427,0.0004933623,0.000116900614,0.000021680105,0.000014268815,0.000043088698,0.0002098943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987025,0.00002804175,0.00042894497,0.0003338911,0.000022127148,0.00048446198],"domain_scores_gemma":[0.9991658,0.00012817397,0.00018005117,0.00023830577,0.00003834301,0.0002493348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011908163,0.0001696926,0.00034327657,0.00009339094,0.00011603049,0.00014289208,0.000079339814,0.000094189,0.000036549452],"category_scores_gemma":[0.000085375505,0.00017642253,0.000025926729,0.00010029122,0.00008409951,0.0003236333,0.00007384543,0.00013893275,0.000019921721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030795072,0.000046218847,0.37489957,0.000017439042,0.000027127482,6.481979e-7,0.0005666124,0.0005587501,0.000005532813,0.6231449,0.0000010315692,0.00070131745],"study_design_scores_gemma":[0.0018386737,0.0001383779,0.9028575,0.000022281216,0.00001948877,0.000009348208,0.00030821984,0.02601957,0.000121994264,0.061592605,0.0064704767,0.00060150883],"about_ca_topic_score_codex":0.00020755274,"about_ca_topic_score_gemma":0.00007499296,"teacher_disagreement_score":0.56155235,"about_ca_system_score_codex":0.0000783004,"about_ca_system_score_gemma":0.00001988802,"threshold_uncertainty_score":0.71943015},"labels":[],"label_agreement":null},{"id":"W2007037316","doi":"10.2202/1935-1682.1675","title":"Human Capital and Welfare Dynamics in Canada","year":2007,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Earnings; Subsidy; Human capital; Economics; Labour economics; Work (physics); Welfare reform; Wage; Demographic economics; Economic growth; Finance; Market economy","score_opus":0.011562374272717864,"score_gpt":0.2382537969701746,"score_spread":0.22669142269745673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007037316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99101394,0.0004324968,0.00036050673,0.0028820105,0.000098543744,0.000044687145,0.00010418396,0.0000017927424,0.0050618076],"genre_scores_gemma":[0.99922675,0.00016272468,0.00003597757,0.00024852768,0.00015548663,3.710052e-7,0.00000567342,0.000012275131,0.0001522014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99817437,0.000034884626,0.0013053699,0.00014787707,0.00003711426,0.00030036023],"domain_scores_gemma":[0.9984374,0.00009187336,0.0010395263,0.00027502325,0.000030629813,0.00012554144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026764527,0.00013755514,0.0006133121,0.0007584377,0.000105409126,0.00004133022,0.00036023965,0.000050242175,0.0001499299],"category_scores_gemma":[0.000059087703,0.000121289406,0.00016641481,0.0004229017,0.000057711997,0.00014950798,0.00006527149,0.00023226837,0.000004283042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013523834,0.000013652248,0.49817663,0.0000035398562,0.00036662855,0.000008154427,0.0001940794,0.0016124842,7.960756e-7,0.4992998,0.000014183949,0.00029652807],"study_design_scores_gemma":[0.0004905963,0.000032633052,0.8941956,0.0000043269915,0.00012595138,0.000021381089,0.0018888765,0.008837821,0.000002074655,0.093631,0.00054437603,0.0002253468],"about_ca_topic_score_codex":0.9197563,"about_ca_topic_score_gemma":0.977698,"teacher_disagreement_score":0.4056688,"about_ca_system_score_codex":0.0028327676,"about_ca_system_score_gemma":0.0002453688,"threshold_uncertainty_score":0.7407589},"labels":[],"label_agreement":null},{"id":"W2007056553","doi":"10.3917/rel.763.0289","title":"Politique éducative et marché du travail en Afrique du Sud. Une analyse en EGC","year":2010,"lang":"fr","type":"article","venue":"Recherches économiques de Louvain","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.05048573004471774,"score_gpt":0.2933061530632057,"score_spread":0.24282042301848794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007056553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82477236,0.002742357,0.0076846834,0.10779976,0.0016476087,0.00065156014,0.001494303,0.00013540013,0.053071994],"genre_scores_gemma":[0.9337419,0.029171538,0.020199772,0.0029684894,0.0015942901,0.00016571365,0.00017557922,0.00019226011,0.011790433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99251187,0.002964005,0.0017819067,0.0013461409,0.000060701484,0.0013353729],"domain_scores_gemma":[0.9927927,0.0042289244,0.0009434224,0.0012287421,0.00022985414,0.0005763096],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.018488294,0.00079268694,0.001457354,0.0005109488,0.00017215942,0.0004802673,0.0010963066,0.0019537585,0.0015830171],"category_scores_gemma":[0.005075069,0.0010312748,0.0006511523,0.0006685769,0.0005325054,0.0006977211,0.00034357005,0.0029684135,0.00037626718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099655634,0.0005917214,0.20619117,0.00025658528,0.0004277366,0.00005111063,0.015706223,0.00008043334,0.00018060021,0.76285756,0.0017853501,0.011771829],"study_design_scores_gemma":[0.00097576296,0.00023143162,0.26176274,0.00014428992,0.00008243485,0.00007871871,0.0015785387,0.013341643,0.00048677466,0.5297322,0.19013676,0.0014486792],"about_ca_topic_score_codex":0.054883875,"about_ca_topic_score_gemma":0.033475418,"teacher_disagreement_score":0.23312536,"about_ca_system_score_codex":0.0034082432,"about_ca_system_score_gemma":0.0010816486,"threshold_uncertainty_score":0.9993419},"labels":[],"label_agreement":null},{"id":"W2008230484","doi":"10.1002/pam.1005","title":"Testing a Financial Incentive to Promote Re‐employment among Displaced Workers: The Canadian Earnings Supplement Project (ESP)","year":2001,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Receipt; Earnings; Incentive; Payment; Unemployment; Displaced workers; Business; Labour economics; Demographic economics; Economics; Finance; Accounting; Economic growth","score_opus":0.028347821415311104,"score_gpt":0.2709508249376516,"score_spread":0.2426030035223405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008230484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757568,0.0000985285,0.004659895,0.011349536,0.00011458688,0.00058077025,0.000075358796,0.000007140988,0.0073573696],"genre_scores_gemma":[0.99530125,0.0001634199,0.0023033647,0.00075635506,0.00019414547,0.00002557402,0.0000063764364,0.000012849073,0.0012366637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818283,0.00005708835,0.000902063,0.0002849774,0.00013888889,0.00043412833],"domain_scores_gemma":[0.99857575,0.000047321486,0.0007784962,0.00026282773,0.000113238515,0.00022234814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023685445,0.00018002807,0.00047225386,0.0013471764,0.00034384461,0.00027810736,0.0003024502,0.00004883556,0.000055379667],"category_scores_gemma":[0.0003206034,0.00014212899,0.00021081361,0.0022846167,0.000045440094,0.00016371584,0.0001519633,0.00018609774,0.000005061532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006831885,0.00010496225,0.955664,0.00003067468,0.001668112,0.00007337021,0.001978287,0.0010989447,0.0000015996307,0.030062305,0.0021825407,0.007066916],"study_design_scores_gemma":[0.000460538,0.00014460029,0.8680367,0.00005174589,0.00031473523,0.000002688279,0.00030189365,0.0019934883,0.0000012608849,0.0033330389,0.1251417,0.00021760067],"about_ca_topic_score_codex":0.22307053,"about_ca_topic_score_gemma":0.26907724,"teacher_disagreement_score":0.12295916,"about_ca_system_score_codex":0.000550975,"about_ca_system_score_gemma":0.00010082535,"threshold_uncertainty_score":0.7821031},"labels":[],"label_agreement":null},{"id":"W2010644273","doi":"10.5539/ass.v6n11p239","title":"The Determinants of Gender Wage Discrimination in Pakistan: Econometric Evidence from Punjab Province","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Functional illiteracy; Wage; Demographic economics; Productivity; Vocational education; Competence (human resources); Educational attainment; Descriptive statistics; Economics; Labour economics; Economic growth; Political science","score_opus":0.03851630098637463,"score_gpt":0.30100747150030904,"score_spread":0.2624911705139344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010644273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622486,0.00020395663,0.00019003579,0.000442733,0.00058517186,0.00019337777,0.00010704221,0.000009003615,0.036020033],"genre_scores_gemma":[0.99944556,0.00006964174,0.0002500417,0.000038377028,0.0000842416,0.000012970905,0.000001642151,0.000008013432,0.000089484995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984008,0.000027327978,0.000660576,0.00043919115,0.0001169454,0.00035513734],"domain_scores_gemma":[0.9988363,0.0002155952,0.00048031847,0.00033857033,0.00006506476,0.00006420173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030719654,0.00010831008,0.00024217354,0.00020454566,0.000368828,0.00019107036,0.0008297912,0.00008071834,0.000050919494],"category_scores_gemma":[0.0007832763,0.00009596473,0.00006407783,0.0011080874,0.0006367814,0.0007112914,0.00014852981,0.0002091721,0.000019613437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013431103,0.00006222549,0.45563608,0.000012931793,0.000003750421,0.000003171768,0.0021247624,4.0686763e-7,0.0003409702,0.42392462,0.000010275024,0.11786737],"study_design_scores_gemma":[0.000119200464,0.000013439461,0.9071301,0.000007632446,0.0000017159862,2.6832677e-7,0.00033746194,0.00078574277,0.00016163224,0.09089376,0.00041498904,0.00013405527],"about_ca_topic_score_codex":0.0011980134,"about_ca_topic_score_gemma":0.0037218367,"teacher_disagreement_score":0.451494,"about_ca_system_score_codex":0.00015496905,"about_ca_system_score_gemma":0.00014367503,"threshold_uncertainty_score":0.3913328},"labels":[],"label_agreement":null},{"id":"W2010801055","doi":"10.1111/j.1467-937x.2009.00535.x","title":"Occupational Mobility and Wage Inequality","year":2009,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":341,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage inequality; Inequality; Wage; Economics; Occupational licensing; Occupational mobility; Sociology; Labour economics; Mathematics","score_opus":0.07339349181079448,"score_gpt":0.3281321789624474,"score_spread":0.25473868715165293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010801055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5961455,0.39050555,0.000054798013,0.0053469287,0.00021156434,0.00037737007,0.00027872427,0.000015147678,0.0070643895],"genre_scores_gemma":[0.79829437,0.2001018,0.00011181803,0.0013485764,0.000052695563,0.000013872399,0.0000058381606,0.000004214806,0.000066838766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985846,0.000054151435,0.0009342139,0.0002650333,0.000021374646,0.00014061984],"domain_scores_gemma":[0.99874383,0.00024489136,0.0005210457,0.00041920037,0.00004129159,0.000029736884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030226763,0.00013120273,0.0007101796,0.00003250111,0.000086383894,0.000011794399,0.00018359344,0.000027937765,0.00010070499],"category_scores_gemma":[0.00045239562,0.00009921368,0.000120709075,0.00006856611,0.00014805769,0.00010187257,0.00008432875,0.0000752341,0.000037018828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014874136,0.000052690877,0.027259935,0.0011812291,0.00013684871,2.735122e-7,0.00018958199,0.0000044475937,0.0000010284185,0.9638244,0.00079862936,0.0065360623],"study_design_scores_gemma":[0.000331941,0.00008348425,0.39543742,0.0006588609,0.00003404774,0.0000027038097,0.000078589255,0.00021668829,0.0000070651895,0.5903294,0.012541558,0.00027824708],"about_ca_topic_score_codex":0.00006738705,"about_ca_topic_score_gemma":0.000014626182,"teacher_disagreement_score":0.373495,"about_ca_system_score_codex":0.00008110701,"about_ca_system_score_gemma":0.00001911935,"threshold_uncertainty_score":0.40458164},"labels":[],"label_agreement":null},{"id":"W2011294660","doi":"10.1080/13504850701720007","title":"On the persistence of the gender unemployment gap: evidence from eight OECD countries","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Unemployment; Demographic economics; Unit root; Economics; Null hypothesis; Geography; Econometrics; Economic growth","score_opus":0.07477991223419533,"score_gpt":0.20180701564051623,"score_spread":0.1270271034063209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011294660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98207605,0.0002574884,0.0005821226,0.009222686,0.00045505885,0.00033685364,0.00036088744,0.000014945714,0.0066939243],"genre_scores_gemma":[0.987957,0.0006469978,0.00018779065,0.010957077,0.000091815054,0.000046859324,0.000008350068,0.000027592312,0.000076489596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984062,0.00002889,0.000699109,0.0005014027,0.000058710277,0.00030568964],"domain_scores_gemma":[0.9977665,0.0006077052,0.00058215036,0.0009746567,0.000016488777,0.000052517993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063132384,0.00022344525,0.00038582284,0.000057311674,0.00029082084,0.000054083783,0.0008010092,0.00008148639,0.00042576098],"category_scores_gemma":[0.00004953786,0.00016989396,0.00019995743,0.00008707076,0.00036042882,0.00011439171,0.00015824552,0.00021518546,0.0002964483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066761764,0.000051487907,0.06974924,0.00001593715,0.00016402731,0.0000013521952,0.0013036929,0.0036358403,0.00019937214,0.9224439,0.0023145587,0.000053774434],"study_design_scores_gemma":[0.0022320934,0.00010277683,0.36095145,0.000110182176,0.000094882555,0.000011582122,0.00047861744,0.0057182745,0.00552029,0.5794304,0.04315998,0.002189506],"about_ca_topic_score_codex":0.00028622022,"about_ca_topic_score_gemma":0.000028298038,"teacher_disagreement_score":0.34301358,"about_ca_system_score_codex":0.00022392842,"about_ca_system_score_gemma":0.000036575257,"threshold_uncertainty_score":0.69280744},"labels":[],"label_agreement":null},{"id":"W2011988864","doi":"10.1108/cdi-12-2013-0161","title":"The gender gap in pre-career salary expectations: a test of five explanations","year":2014,"lang":"en","type":"article","venue":"Career Development International","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Wilfrid Laurier University; University of Guelph; Carleton University","funders":"","keywords":"Salary; Wage; Value (mathematics); Demographic economics; Psychology; Graduation (instrument); Test (biology); Work (physics); Economics; Labour economics; Social psychology; Statistics","score_opus":0.049810046725186324,"score_gpt":0.24421067315138748,"score_spread":0.19440062642620115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011988864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89386714,0.00094322494,0.015994648,0.0018592677,0.0016808258,0.00039565362,0.00042644143,0.000039237766,0.08479359],"genre_scores_gemma":[0.99621964,0.000049269667,0.0020404193,0.00014167019,0.000056551937,0.00010161362,0.00016078565,0.000011765674,0.0012183025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988167,0.000020480695,0.0006597395,0.00022993234,0.00011371965,0.00015940006],"domain_scores_gemma":[0.9989785,0.00037367045,0.00024581625,0.00019005836,0.00017696036,0.000035008117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824836,0.00010167635,0.00015302532,0.00019267126,0.000082947445,0.000059826234,0.00037920792,0.000052751304,0.00015214713],"category_scores_gemma":[0.00073457917,0.000096334166,0.000049657323,0.00016547742,0.000040044262,0.00013602336,0.000087918044,0.00009837933,0.000043080672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016560185,0.00011031147,0.47936237,0.000013608753,0.0000956586,0.0000013863463,0.004927198,0.00017016195,0.000010721338,0.51179296,0.00069013983,0.002808896],"study_design_scores_gemma":[0.0006440809,0.000016959662,0.86808246,0.000026097929,0.0000026820564,0.0000018316299,0.0005893011,0.010138907,0.00006550941,0.090401135,0.029785616,0.00024542326],"about_ca_topic_score_codex":0.00005015032,"about_ca_topic_score_gemma":0.00029521013,"teacher_disagreement_score":0.42139184,"about_ca_system_score_codex":0.00018233586,"about_ca_system_score_gemma":0.000056612247,"threshold_uncertainty_score":0.39283934},"labels":[],"label_agreement":null},{"id":"W2013872916","doi":"10.1111/j.0008-4085.2006.00336.x","title":"Viewpoint: Male‐female wage differentials: how can that be?","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Differential (mechanical device); Competition (biology); Economics; Labour economics; Demographic economics; Biology; Engineering","score_opus":0.13138556185237765,"score_gpt":0.1784176115435545,"score_spread":0.04703204969117686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013872916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97240835,0.0010920833,0.00021089023,0.014469261,0.0024460633,0.00029330337,0.0025485172,0.000011263027,0.006520278],"genre_scores_gemma":[0.9928948,0.00027402418,0.0003745993,0.0015308954,0.0010072895,0.000018506682,0.00009258667,0.00010503384,0.0037022084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99643517,0.00007414824,0.0015902955,0.0006625405,0.0000038458074,0.0012340276],"domain_scores_gemma":[0.995563,0.00014794177,0.0018289045,0.0007434639,0.00015848562,0.0015582453],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015469348,0.0004990609,0.0013597143,0.0010633118,0.00027538027,0.000500878,0.0009370401,0.00034155583,0.0012631867],"category_scores_gemma":[0.00022104468,0.0006330827,0.0005582658,0.00020523788,0.0002211283,0.00060769037,0.000046612255,0.00052909984,0.000039239236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023525296,0.00002647143,0.068131275,0.000047047444,0.00014259903,0.0001963872,0.0003336075,0.0005380504,0.0000053442413,0.9290558,0.00095503236,0.0005448254],"study_design_scores_gemma":[0.0013189057,0.00021354824,0.02300337,0.00008672514,0.00004829523,0.0004917504,0.00031919,0.0011642637,0.00012203264,0.8670413,0.10505949,0.001131159],"about_ca_topic_score_codex":0.29228434,"about_ca_topic_score_gemma":0.9745761,"teacher_disagreement_score":0.68229175,"about_ca_system_score_codex":0.0023897276,"about_ca_system_score_gemma":0.0008170248,"threshold_uncertainty_score":0.9996498},"labels":[],"label_agreement":null},{"id":"W2014197719","doi":"10.1111/j.1468-232x.2008.00536.x","title":"Canadian Evidence on the Hourly Paid–Salaried Breakdown: Are Canadian Salaried Workers Missing Too?","year":2008,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Demographic economics; Labour economics; Economics","score_opus":0.1016011644334409,"score_gpt":0.22707357682577073,"score_spread":0.1254724123923298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014197719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92349106,0.0011185972,0.00038624252,0.057492986,0.00072359137,0.00029107757,0.00027067747,0.000008760069,0.016216986],"genre_scores_gemma":[0.99660015,0.00027454365,0.0002126389,0.001993888,0.00037643444,0.000004427563,0.000005590934,0.000016243153,0.0005160735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983929,0.00008100682,0.0008699689,0.00023012381,0.000052215102,0.00037379705],"domain_scores_gemma":[0.99764204,0.0006361932,0.0007964162,0.00025334148,0.00013322195,0.0005387792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022588384,0.0001730811,0.00039532248,0.00019162802,0.0010565264,0.00022884966,0.00027063067,0.00036308257,0.00028775705],"category_scores_gemma":[0.0010055375,0.0001564769,0.00027324635,0.00032991782,0.0001503097,0.00050778297,0.000019755409,0.0009127409,0.000021460679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043190852,0.00003755654,0.8277638,0.0000053196272,0.0003574623,0.000045549998,0.0024445306,0.000415183,7.709137e-7,0.13390881,0.03368575,0.0012920761],"study_design_scores_gemma":[0.0030456525,0.00030742362,0.54666173,0.0005007008,0.00010176284,0.00019471138,0.0032698952,0.0035525702,0.0000075580883,0.08567678,0.3555563,0.0011249179],"about_ca_topic_score_codex":0.24778466,"about_ca_topic_score_gemma":0.10228881,"teacher_disagreement_score":0.32187057,"about_ca_system_score_codex":0.00093810924,"about_ca_system_score_gemma":0.0015899357,"threshold_uncertainty_score":0.91409206},"labels":[],"label_agreement":null},{"id":"W2015686849","doi":"10.7202/055949ar","title":"Scolarité et revenu en début de carrière : une relation inflationniste","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Philosophy","score_opus":0.06056063788266565,"score_gpt":0.3123489580755333,"score_spread":0.2517883201928677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015686849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8702404,0.03355332,0.010338112,0.0714339,0.0005245372,0.00044615497,0.0005643043,0.00015412271,0.012745165],"genre_scores_gemma":[0.9336819,0.031573538,0.0234256,0.0015465725,0.0006796368,0.00004790785,0.00013175502,0.00008041184,0.008832693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668723,0.0009885433,0.0010548503,0.0005926012,0.00008934128,0.0005874253],"domain_scores_gemma":[0.9978219,0.0007734198,0.0006220767,0.0004708967,0.00015087189,0.00016080154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007554715,0.00034160964,0.0005691597,0.00040930632,0.00020905315,0.00020802364,0.0003125809,0.0012222223,0.00012184022],"category_scores_gemma":[0.00084500044,0.00047662383,0.00048747894,0.0010761223,0.00020408456,0.00079625356,0.000095396696,0.0011709367,0.00008620644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017185177,0.00013576982,0.6007999,0.00013336948,0.00016078685,0.0000034250959,0.008911405,0.00022057377,0.000028854369,0.38089687,0.00052703824,0.008164775],"study_design_scores_gemma":[0.00036724965,0.000062541396,0.5419432,0.00018724689,0.000044810273,0.000005067018,0.00013875934,0.0029126995,0.000035280984,0.39571756,0.058113612,0.00047196704],"about_ca_topic_score_codex":0.021426048,"about_ca_topic_score_gemma":0.009948228,"teacher_disagreement_score":0.06988733,"about_ca_system_score_codex":0.0030523709,"about_ca_system_score_gemma":0.00016147211,"threshold_uncertainty_score":0.99976856},"labels":[],"label_agreement":null},{"id":"W2016941515","doi":"10.3406/ecop.2009.7924","title":"Croissance et chômage à long terme","year":2009,"lang":"fr","type":"article","venue":"Économie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02252351024875578,"score_gpt":0.2547357614293068,"score_spread":0.23221225118055103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016941515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7910997,0.022458825,0.010175993,0.11255176,0.0049328436,0.000631687,0.00074315316,0.00012425617,0.057281766],"genre_scores_gemma":[0.9216605,0.0047648754,0.0027598017,0.0056216447,0.0006101315,0.00001164591,0.000100985984,0.000061199156,0.06440925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99631166,0.000114874856,0.001465903,0.0011505618,0.0000677884,0.00088923366],"domain_scores_gemma":[0.99750066,0.00020981226,0.00084142754,0.0011011951,0.00007931607,0.0002676157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020616057,0.00049637444,0.00093050493,0.00026306036,0.00023686957,0.0005181451,0.0006075138,0.00046678964,0.0014620923],"category_scores_gemma":[0.00030281075,0.00065279467,0.00038400965,0.00035789947,0.00015850077,0.0011953341,0.00017766387,0.00059027155,0.0014001976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000977394,0.0005573028,0.043684885,0.00010202599,0.000063519066,0.00008196393,0.0003261207,0.00036803744,0.000044091816,0.80721945,0.0074025043,0.14005235],"study_design_scores_gemma":[0.0015121269,0.00045398434,0.40302652,0.0003233591,0.000027202677,0.000022914759,0.00002413317,0.014886117,0.000094668474,0.21708956,0.36138317,0.0011562352],"about_ca_topic_score_codex":0.00053743867,"about_ca_topic_score_gemma":0.00018532653,"teacher_disagreement_score":0.5901299,"about_ca_system_score_codex":0.0006020404,"about_ca_system_score_gemma":0.00010240246,"threshold_uncertainty_score":0.9995923},"labels":[],"label_agreement":null},{"id":"W2016951665","doi":"10.1111/j.1468-2354.2006.00392.x","title":"DIRECTED SEARCH ON THE JOB AND THE WAGE LADDER*","year":2006,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"","keywords":"Wage; Labour economics; Wage dispersion; Economics; Efficiency wage; Climb; Compensating differential; Homogeneous; Wage share; Engineering","score_opus":0.029254758990809922,"score_gpt":0.2568024391626368,"score_spread":0.22754768017182686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016951665","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24148367,0.047741998,0.00013141263,0.20663328,0.001240205,0.000961265,0.0005769435,0.000058774865,0.5011724],"genre_scores_gemma":[0.933434,0.05061899,0.000042245072,0.011654656,0.00023505493,0.00008275371,0.000034768742,0.00001884592,0.003878673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998896,0.00006965384,0.0005866326,0.00027311718,0.000036596815,0.00013797625],"domain_scores_gemma":[0.99898803,0.00041877775,0.00022475567,0.00031908424,0.00002600546,0.000023373614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002148494,0.000115822084,0.00029973153,0.00004394089,0.00009675929,0.0001290287,0.00040448972,0.00002793868,0.0013558451],"category_scores_gemma":[0.00014779113,0.00007278567,0.0001272321,0.000052170955,0.000121405144,0.00008664304,0.00008957883,0.00014960363,0.00060579064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001120768,0.000011672478,0.00309354,0.000020792791,0.000044425353,7.8780675e-7,0.000010445103,0.000018923301,2.1746101e-7,0.9863973,0.009060976,0.0013297001],"study_design_scores_gemma":[0.000704618,0.0000110625215,0.025335284,0.00017849614,0.000008665438,0.0000073740293,0.0000056672375,0.00782961,0.0000027140231,0.20198905,0.76373094,0.00019652135],"about_ca_topic_score_codex":0.001007585,"about_ca_topic_score_gemma":0.00009837044,"teacher_disagreement_score":0.7844083,"about_ca_system_score_codex":0.000105559346,"about_ca_system_score_gemma":0.000014014168,"threshold_uncertainty_score":0.9995571},"labels":[],"label_agreement":null},{"id":"W2019688580","doi":"10.7202/050718ar","title":"The Impact of Canadian Training Programs on Long Term Unemployed","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Term (time); Selection (genetic algorithm); Selection bias; Computer science; Econometrics; Simple (philosophy); Demographic economics; Econometric model; Actuarial science; Psychology; Economics; Statistics; Machine learning; Mathematics; Geography","score_opus":0.071326532789613,"score_gpt":0.2629771864714393,"score_spread":0.19165065368182632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019688580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95722437,0.00028803057,0.00008143495,0.0015841835,0.00007761198,0.00018546655,0.00014069024,0.000016527036,0.040401675],"genre_scores_gemma":[0.9981852,0.00011449178,0.00008357524,0.000016447793,0.00008319001,0.00001201647,0.00003666888,0.000014133731,0.001454281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907774,0.000019643456,0.0004466963,0.00016137208,0.000031542342,0.00026301725],"domain_scores_gemma":[0.9992213,0.00013240594,0.00021501767,0.00028630145,0.00003506027,0.000109863024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052514585,0.000101417216,0.00016427149,0.00030582063,0.00027047162,0.00006506583,0.00017299879,0.00015107788,0.00011989873],"category_scores_gemma":[0.00015269681,0.0000824833,0.00011408953,0.0006514673,0.00006734131,0.0000904298,0.000013611777,0.00025100636,0.000058700916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000857884,0.00006199289,0.5398197,6.454203e-7,0.000100711746,0.0000012996848,0.00082826667,0.0023392471,7.844662e-7,0.34664392,0.000475797,0.10971902],"study_design_scores_gemma":[0.00067751185,0.00019378608,0.9278137,0.000052231648,0.000011660667,0.0000046406035,0.00031372686,0.005326133,0.000011059611,0.019204183,0.046005562,0.00038579214],"about_ca_topic_score_codex":0.025681969,"about_ca_topic_score_gemma":0.024055682,"teacher_disagreement_score":0.38799396,"about_ca_system_score_codex":0.00022788743,"about_ca_system_score_gemma":0.00017640398,"threshold_uncertainty_score":0.9937528},"labels":[],"label_agreement":null},{"id":"W2021075680","doi":"10.1007/bf02295409","title":"Rates of return to education and occupation for the U.S. and Canada","year":2001,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Rate of return; Demographic economics; Finance","score_opus":0.05281812245778631,"score_gpt":0.38548660234153465,"score_spread":0.3326684798837483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021075680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98486567,0.0024253093,0.00071528327,0.0037323213,0.00059796876,0.00029342857,0.00016403459,0.0000014599603,0.007204546],"genre_scores_gemma":[0.99517655,0.0037397435,0.0003275446,0.00011176955,0.000086638895,0.00007929675,0.000010665229,0.000005061641,0.0004627389],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993408,0.000013803826,0.0003071615,0.00019121062,0.00003297763,0.00011407614],"domain_scores_gemma":[0.9992199,0.00047951695,0.00009059698,0.00010364039,0.000075501695,0.000030823747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010764302,0.0000456123,0.00010502228,0.00014466299,0.000047546637,0.000040639687,0.00016737993,0.000019897629,0.0000318741],"category_scores_gemma":[0.00034109378,0.000042943877,0.000011112757,0.000059014852,0.000047990605,0.00020398438,0.000058731817,0.00006609889,0.0000016373339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072402196,0.000020154948,0.5079073,0.0000142316285,0.000010416462,1.4328167e-7,0.00009364719,0.00030769757,0.0000044756034,0.46451274,0.0003417066,0.026715111],"study_design_scores_gemma":[0.0003437874,0.000042818,0.20437083,0.000022695845,7.093111e-7,0.0000028847735,0.00032951668,0.019117652,0.000039277347,0.5107295,0.26489276,0.00010758202],"about_ca_topic_score_codex":0.14800677,"about_ca_topic_score_gemma":0.3919093,"teacher_disagreement_score":0.30353644,"about_ca_system_score_codex":0.0002444877,"about_ca_system_score_gemma":0.000108747445,"threshold_uncertainty_score":0.85766673},"labels":[],"label_agreement":null},{"id":"W2023074941","doi":"10.3917/reco.642.0004","title":"Can Continuing Education Reduce the Gender Wage Gap?","year":2013,"lang":"fr","type":"article","venue":"Revue économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04672752338330609,"score_gpt":0.23236636591867443,"score_spread":0.18563884253536833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023074941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8707504,0.018317357,0.00054088136,0.05490081,0.0060364017,0.0010227138,0.0002987955,0.000037728798,0.048094854],"genre_scores_gemma":[0.9355202,0.0047300616,0.0009074586,0.002388555,0.0015875805,0.00025953868,0.000054092,0.00007076754,0.054481786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973855,0.00015398748,0.0011230124,0.0006970033,0.000018850598,0.00062163663],"domain_scores_gemma":[0.9976208,0.00026645692,0.00078797503,0.0009932973,0.00014876242,0.00018271025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012940238,0.00033254482,0.0005917939,0.00013745183,0.00018542865,0.0004914961,0.000549435,0.0003425722,0.0018186873],"category_scores_gemma":[0.00033100045,0.00036689566,0.0002709091,0.00025799667,0.0001784969,0.00047154425,0.00014613586,0.0005009423,0.00090229115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004923959,0.00013958255,0.022723585,0.00016202252,0.000081885315,0.0000020300472,0.0012790706,0.00009737699,0.000024142595,0.874529,0.0044656303,0.096490726],"study_design_scores_gemma":[0.00044010946,0.000047249076,0.09158387,0.00029136712,0.00004199312,0.000041077787,0.0008933554,0.011274959,0.000044883556,0.61625,0.27821738,0.0008737824],"about_ca_topic_score_codex":0.009014274,"about_ca_topic_score_gemma":0.00069739827,"teacher_disagreement_score":0.27375174,"about_ca_system_score_codex":0.00059502025,"about_ca_system_score_gemma":0.00015754177,"threshold_uncertainty_score":0.9998783},"labels":[],"label_agreement":null},{"id":"W2023182788","doi":"10.1007/s11150-009-9054-9","title":"Poverty and its persistence: a comparison of natives and immigrants in Sweden","year":2009,"lang":"en","type":"article","venue":"Review of Economics of the Household","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Poverty; Immigration; Economics; Persistence (discontinuity); Demographic economics; Hazard; Educational attainment; Panel data; Econometrics; Geography; Economic growth","score_opus":0.08242143355303584,"score_gpt":0.27267711799756833,"score_spread":0.1902556844445325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023182788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8863463,0.11041216,0.0000022722465,0.0008626136,0.000051475687,0.00023655455,0.00026851284,0.0000021255655,0.0018179748],"genre_scores_gemma":[0.8867765,0.11270235,0.0000885855,0.00039156468,0.000005979494,0.0000018943364,0.0000014746075,0.000006551182,0.00002510931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986257,0.000030239295,0.0010021387,0.00020866373,0.000018874296,0.00011437636],"domain_scores_gemma":[0.9986476,0.000075568394,0.00094394665,0.00027599934,0.000025788338,0.000031124957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089836767,0.00011288604,0.000856995,0.00008405917,0.000020709344,0.0000074967857,0.0002450893,0.000054707416,0.000007784619],"category_scores_gemma":[0.00017517581,0.00009779911,0.00012410799,0.00012645088,0.00006172202,0.000121475845,0.00007996329,0.000089154644,4.2322517e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006397242,0.00045928033,0.3483284,0.0074266824,0.00013397247,3.8773348e-7,0.00091556716,0.00013769093,0.00014104856,0.6356191,0.00016604339,0.0066078585],"study_design_scores_gemma":[0.0019642636,0.00038766573,0.85886794,0.00744644,0.000084992775,0.0000068490526,0.00037392284,0.010321679,0.0010892467,0.11465549,0.0040608356,0.0007406994],"about_ca_topic_score_codex":0.00012744093,"about_ca_topic_score_gemma":0.00006065619,"teacher_disagreement_score":0.5209636,"about_ca_system_score_codex":0.000039167353,"about_ca_system_score_gemma":0.000015699341,"threshold_uncertainty_score":0.3988132},"labels":[],"label_agreement":null},{"id":"W2023413213","doi":"10.1257/000282805774670509","title":"Returning to the Returns to Computer Use","year":2005,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Desk; Instrumental variable; Selection (genetic algorithm); Control (management); Economics; Labour economics; Econometrics; Computer science; Management; Artificial intelligence; Operating system","score_opus":0.03249720074620824,"score_gpt":0.26289180713833404,"score_spread":0.2303946063921258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023413213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75605434,0.020401137,0.013315277,0.18368644,0.0017053791,0.0027436945,0.00072648306,0.00018007147,0.0211872],"genre_scores_gemma":[0.84179777,0.02272697,0.014486917,0.11827577,0.0010258611,0.00013727602,0.00002465564,0.00006863188,0.0014561276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979877,0.0000601491,0.0009650581,0.0005723155,0.00002809166,0.00038670233],"domain_scores_gemma":[0.9982158,0.00014079304,0.00047733332,0.0009222101,0.0000244601,0.00021942014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014014902,0.00021399772,0.00076099636,0.00009522757,0.00009734304,0.00015263942,0.00056226883,0.000026697606,0.00043588795],"category_scores_gemma":[0.0001699306,0.00018569283,0.0001943954,0.0002992151,0.00005414778,0.00023173826,0.00019691078,0.00016555254,0.00555169],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003109144,0.00008738639,0.04223753,0.00027045768,0.00022745492,0.0000056034914,0.0010042278,0.0029295841,0.0000033556998,0.25046527,0.16074297,0.5419951],"study_design_scores_gemma":[0.00007351885,0.00006371635,0.015736021,0.00015366408,0.000008612143,0.0000051267925,0.000010230198,0.0018434363,0.0000011099735,0.00048466894,0.98131126,0.0003086503],"about_ca_topic_score_codex":0.000674308,"about_ca_topic_score_gemma":0.00059713254,"teacher_disagreement_score":0.82056826,"about_ca_system_score_codex":0.0003017585,"about_ca_system_score_gemma":0.000024400555,"threshold_uncertainty_score":0.9952226},"labels":[],"label_agreement":null},{"id":"W2023727162","doi":"10.5539/ijef.v3n1p35","title":"Labor Contracts and Shirking in Cameroon","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Social security; Sample (material); Business; Labour economics; Promotion (chess); Work (physics); Economics; Market economy; Econometrics; Politics","score_opus":0.03194255039666621,"score_gpt":0.22274454822628897,"score_spread":0.19080199782962276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023727162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275506,0.0021266262,0.00011380355,0.00062406174,0.00065453316,0.00003803033,0.00007349523,0.0000013927352,0.0036130275],"genre_scores_gemma":[0.98306274,0.015206728,0.0012643188,0.00030942736,0.00009503984,0.0000013660353,0.0000011512907,0.000008798617,0.000050452225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990102,0.000008041415,0.0006859587,0.00015893094,0.00001607689,0.000120795565],"domain_scores_gemma":[0.99915195,0.00004422682,0.0006250517,0.00007421537,0.000068546025,0.00003602539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006506517,0.00008869662,0.00027606418,0.00019120691,0.000019356565,0.000059206744,0.0001851348,0.000056741825,0.000022635868],"category_scores_gemma":[0.00008119103,0.00009868398,0.000042022024,0.000040100396,0.00004988364,0.00035135215,0.000051823765,0.00013636336,0.000003141054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088620676,0.000059681664,0.13474756,0.0000032310743,0.000044022705,0.000034993624,0.0005287724,0.000070965194,0.0000032270987,0.8558717,0.000007230776,0.008540015],"study_design_scores_gemma":[0.0014818688,0.00009465765,0.47271985,0.000051928597,0.000003749506,0.00008199165,0.00007774864,0.0058895154,0.000038400245,0.49837586,0.020958973,0.00022544216],"about_ca_topic_score_codex":0.00022909678,"about_ca_topic_score_gemma":0.00013581222,"teacher_disagreement_score":0.3574958,"about_ca_system_score_codex":0.00005879735,"about_ca_system_score_gemma":0.000020737396,"threshold_uncertainty_score":0.4024216},"labels":[],"label_agreement":null},{"id":"W2026067445","doi":"10.1257/aer.96.4.959","title":"Higher-Education Policies and the College Wage Premium: Cross-State Evidence from the 1990s","year":2006,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Wage; Labour economics; State (computer science); Higher education; Labor demand; Demographic economics; Economic growth","score_opus":0.025393793783913057,"score_gpt":0.2785776332186972,"score_spread":0.2531838394347842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026067445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7202803,0.23852222,0.000028986533,0.025359211,0.000516691,0.00078719546,0.0009146136,0.000029597672,0.013561187],"genre_scores_gemma":[0.8381468,0.15241662,0.00009790405,0.006360892,0.00025512066,0.00012434437,0.000028164826,0.000023020679,0.0025471367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981436,0.00013822717,0.00096961955,0.0004563461,0.000030166488,0.00026200557],"domain_scores_gemma":[0.9973939,0.00077179074,0.0009898078,0.00076464016,0.00002683685,0.00005299002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016186899,0.00020952834,0.00070782576,0.00003062053,0.00020230048,0.00019820445,0.00050125,0.000027991595,0.00028042754],"category_scores_gemma":[0.00013234555,0.00014262088,0.00016324778,0.00018865368,0.0007638556,0.0002664904,0.00012877364,0.00014716585,0.00021505161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004179647,0.00004258671,0.23946422,0.00016570212,0.00009043801,7.5251074e-7,0.00017011097,0.00003799612,0.0000017001342,0.7322341,0.013103706,0.0146468785],"study_design_scores_gemma":[0.0003378112,0.000019508005,0.5283532,0.00032417304,0.000031315507,0.0000030441886,0.000025206236,0.00026893654,0.0000017097586,0.10959802,0.36074543,0.00029159224],"about_ca_topic_score_codex":0.043824356,"about_ca_topic_score_gemma":0.00071557827,"teacher_disagreement_score":0.6226361,"about_ca_system_score_codex":0.00017864746,"about_ca_system_score_gemma":0.00007869071,"threshold_uncertainty_score":0.9625429},"labels":[],"label_agreement":null},{"id":"W2026134749","doi":"10.1257/aer.104.5.381","title":"The Declining Fortunes of the Young Since 2000","year":2014,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Cohort; Economics; Wage; Cognition; Demographic economics; Labour economics; Psychology; Demography; Medicine; Sociology","score_opus":0.020034979660287174,"score_gpt":0.24978521118334576,"score_spread":0.2297502315230586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026134749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62168443,0.15996917,0.0022155633,0.024669057,0.0033221762,0.0015152555,0.00031842824,0.00007227185,0.18623365],"genre_scores_gemma":[0.92579466,0.07144887,0.00014202404,0.0018934374,0.0000870607,0.000030329735,0.0000028771078,0.000020907519,0.00057982054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826276,0.00009161029,0.0010747096,0.00029484835,0.000025832096,0.00025023834],"domain_scores_gemma":[0.9972658,0.0003528558,0.0014295776,0.00088061806,0.000021875841,0.0000492372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00234114,0.00014307967,0.0006380918,0.000023469902,0.00016192335,0.00004146868,0.00064522686,0.000023303535,0.00006389045],"category_scores_gemma":[0.00043234162,0.00009685801,0.0002649697,0.00016243622,0.0003320802,0.00009080377,0.00011849928,0.000116109804,0.00013682953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005690836,0.00001850373,0.13052037,0.00019245934,0.0000709924,1.7655805e-7,0.0000639115,0.000029797782,0.0000011403995,0.758445,0.00088145654,0.109770454],"study_design_scores_gemma":[0.00020655939,0.00005941345,0.07477741,0.00036405708,0.00002940048,0.0000070438527,0.000038619633,0.00301576,0.000006914362,0.048700556,0.8724433,0.00035097433],"about_ca_topic_score_codex":0.000899456,"about_ca_topic_score_gemma":0.00032984928,"teacher_disagreement_score":0.8715618,"about_ca_system_score_codex":0.00010442485,"about_ca_system_score_gemma":0.000052594558,"threshold_uncertainty_score":0.39497554},"labels":[],"label_agreement":null},{"id":"W2026702791","doi":"10.15185/izawol.145","title":"Who benefits from firm-sponsored training?","year":2015,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Training (meteorology); Productivity; Business; Investment (military); Capital investment; Human capital; Labour economics; Capital (architecture); Information and Communications Technology; Capital call; Empirical evidence; Industrial organization; Economics; Finance; Financial capital; Individual capital; Economic growth","score_opus":0.07559398065446789,"score_gpt":0.24602769102772304,"score_spread":0.17043371037325517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026702791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657617,0.00326953,0.0001637765,0.001350133,0.0006439345,0.0001242554,0.003379191,0.00004590941,0.025261557],"genre_scores_gemma":[0.99459124,0.000082083956,0.001770294,0.000497085,0.00017356621,0.000010299186,0.00006511181,0.000031611926,0.00277871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985343,0.00003116758,0.0007083524,0.0003711373,0.000071711416,0.00028332346],"domain_scores_gemma":[0.99868757,0.00015032529,0.0003873869,0.00047988008,0.0001186301,0.00017623657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008012682,0.0001660335,0.0005559429,0.00020771501,0.00003626197,0.000045847108,0.000330759,0.00008059513,0.00041790912],"category_scores_gemma":[0.0003862488,0.00018508747,0.00010124167,0.0005827967,0.000060204828,0.00017094279,0.00007489247,0.00013018097,0.000119208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010968118,0.00011444715,0.2383383,0.000014412467,0.00008648529,0.000007082907,0.0018428398,0.00015846085,0.000011695382,0.7547958,0.001964946,0.0025558658],"study_design_scores_gemma":[0.0021091383,0.00009643951,0.43878087,0.000073645,0.000017582457,8.2858327e-7,0.00023388812,0.0028513158,0.00012696536,0.33642703,0.21868232,0.00059996784],"about_ca_topic_score_codex":0.0010722481,"about_ca_topic_score_gemma":0.00077489804,"teacher_disagreement_score":0.41836876,"about_ca_system_score_codex":0.00006506638,"about_ca_system_score_gemma":0.000058416634,"threshold_uncertainty_score":0.7547648},"labels":[],"label_agreement":null},{"id":"W2026858845","doi":"10.1155/2013/452358","title":"Job-Education Mismatch and Its Impact on the Earnings of Immigrants: Evidence from Recent Arrivals to Canada","year":2013,"lang":"en","type":"article","venue":"ISRN Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Earnings; Immigration; Demographic economics; Wage; Estimation; Economics; Ordered probit; Labour economics; Panel data; Multivariate probit model; Econometrics; Political science","score_opus":0.02534662029650728,"score_gpt":0.23912780165182443,"score_spread":0.21378118135531715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026858845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863102,0.0005863357,0.00003487239,0.011024878,0.0004016912,0.00038326645,0.00047125504,0.0000068595828,0.0007806438],"genre_scores_gemma":[0.99557257,0.001961895,0.000103002894,0.0019527373,0.00006743883,0.00003922842,0.000010804952,0.000020149844,0.00027215254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987394,0.000031714557,0.0006120067,0.00035277117,0.0000272797,0.0002368033],"domain_scores_gemma":[0.99856836,0.00038410997,0.00041934146,0.00040544942,0.00008413154,0.00013860635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056618697,0.00016642282,0.00036063907,0.00006988424,0.000069470625,0.00009474225,0.00030067042,0.00008247621,0.0005058331],"category_scores_gemma":[0.0004980953,0.00014256545,0.00005959892,0.00011088899,0.000020234038,0.0001822057,0.00006853366,0.00016673704,0.000105093226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010565359,0.00013377376,0.8796873,0.00005308061,0.00023864637,6.865236e-7,0.002100151,0.0011179638,0.0002732478,0.08229879,0.0042619044,0.029728776],"study_design_scores_gemma":[0.00018089745,0.00007694426,0.9384144,0.000081893784,0.0000071698846,9.143316e-7,0.00036052783,0.004327666,0.00029330887,0.049315453,0.006611234,0.00032957928],"about_ca_topic_score_codex":0.67358994,"about_ca_topic_score_gemma":0.18463804,"teacher_disagreement_score":0.48895192,"about_ca_system_score_codex":0.00033857214,"about_ca_system_score_gemma":0.00023579356,"threshold_uncertainty_score":0.8302402},"labels":[],"label_agreement":null},{"id":"W2026877051","doi":"10.1198/jbes.2011.08053","title":"Employer-to-Employer Flows in the United States: Estimates Using Linked Employer-Employee Data","year":2011,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Pace; Quarter (Canadian coin); Labour economics; Business; Economics; Demographic economics; Econometrics; Geography","score_opus":0.13777280052924984,"score_gpt":0.2909309402419935,"score_spread":0.15315813971274367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026877051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91560733,0.000318663,0.08031911,0.00028368435,0.000744288,0.00020735023,0.0023631253,0.000010397436,0.0001460399],"genre_scores_gemma":[0.9526344,0.0013071746,0.04484285,0.0007082679,0.0002609626,0.0000053558483,0.00015526122,0.00006824476,0.000017486758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726707,0.000061806466,0.0017546039,0.00041913654,0.00007337518,0.00042400908],"domain_scores_gemma":[0.997559,0.00040703412,0.00096845726,0.0007146743,0.00018954214,0.00016130594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022442937,0.00029734167,0.00079513143,0.0005962968,0.00013386286,0.00024178361,0.00093779725,0.00011734207,0.00017677371],"category_scores_gemma":[0.0005152777,0.0002564578,0.000054969758,0.00042865815,0.000095888885,0.000545755,0.0002644464,0.00030982913,0.00003350521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027314483,0.00029604515,0.92930883,0.00015866027,0.0002586188,0.00017602852,0.0035266345,0.009368429,0.0000070630813,0.053074457,0.0022069067,0.0013451709],"study_design_scores_gemma":[0.0014456891,0.00018867117,0.73791903,0.00011869881,0.00008248307,0.00011264,0.0004269065,0.118561566,0.0000015979863,0.13394392,0.0065766214,0.00062219513],"about_ca_topic_score_codex":0.00648694,"about_ca_topic_score_gemma":0.0008961227,"teacher_disagreement_score":0.19138983,"about_ca_system_score_codex":0.00015388799,"about_ca_system_score_gemma":0.00011034762,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W2027007432","doi":"10.1177/0020715209339885","title":"Sector Bias and Sector Dualism","year":2009,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dualism; Inequality; Economics; Gini coefficient; Globalization; Kuznets curve; Economic inequality; Technical change; Income inequality metrics; Labour economics; Econometrics; Macroeconomics; Market economy; Productivity","score_opus":0.09759656635865639,"score_gpt":0.3237286701446354,"score_spread":0.22613210378597903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027007432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846033,0.0014571215,0.0026975723,0.0039713364,0.0011291801,0.00003965906,0.000079472666,0.0000057520915,0.006016601],"genre_scores_gemma":[0.9974701,0.00021109618,0.0006313584,0.0010955335,0.00045315552,6.8185517e-7,0.0000062464997,0.000004062863,0.00012780927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989923,0.00007146482,0.0006314975,0.0001316715,0.00005541231,0.000117624],"domain_scores_gemma":[0.99872476,0.00019232268,0.0007123983,0.0000667872,0.00024439508,0.00005935902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000711383,0.00009749835,0.0003914725,0.00016727534,0.000034695142,0.00003958988,0.00024030954,0.000077636054,0.000268087],"category_scores_gemma":[0.00011894192,0.0000917205,0.00010649469,0.000042259242,0.000118488504,0.00016546657,0.000027182403,0.00021132927,0.000020940313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009214014,0.00008202761,0.036621545,0.0000014164449,0.00020519632,0.000022282538,0.002714646,0.000027115355,0.000112680675,0.95911044,0.0006879597,0.00032254652],"study_design_scores_gemma":[0.0008489383,0.00024213889,0.19484,0.000010565633,0.0000044786457,0.00006263891,0.00014365386,0.00043992922,0.000042169188,0.7875211,0.015716923,0.00012741721],"about_ca_topic_score_codex":0.0000138783835,"about_ca_topic_score_gemma":0.000004282837,"teacher_disagreement_score":0.1715893,"about_ca_system_score_codex":0.00008370703,"about_ca_system_score_gemma":0.000026109336,"threshold_uncertainty_score":0.37402537},"labels":[],"label_agreement":null},{"id":"W2027225947","doi":"10.1080/09645290500073787","title":"The Determinants of Undertaking Academic and Vocational Qualifications in the United Kingdom","year":2005,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Vocational education; Educational attainment; Higher education; Psychology; Economic growth; Pedagogy; Economics","score_opus":0.08888338786540204,"score_gpt":0.3222419972627017,"score_spread":0.23335860939729966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027225947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895529,0.00041176917,0.00014280702,0.0072714584,0.00023691793,0.00015814639,0.00003784611,0.000004592605,0.002183561],"genre_scores_gemma":[0.9980146,0.0007011334,0.00031596812,0.00067148916,0.00012245594,0.00004208589,0.00002559469,0.000008742773,0.00009788932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99894446,0.000041986983,0.0006876048,0.00017749616,0.000017139942,0.00013132737],"domain_scores_gemma":[0.99875903,0.00042223616,0.00047435614,0.00029156572,0.0000268821,0.000025936544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013029011,0.00007707693,0.00013195179,0.00014948811,0.00015780398,0.000060723236,0.00029061738,0.00006406593,0.000013534251],"category_scores_gemma":[0.00024204313,0.00006564182,0.000029278153,0.00020342706,0.0000875078,0.00016694484,0.00002473,0.00014430542,0.000012437909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029189848,0.000039907336,0.18382084,0.000004611983,0.0000044612943,7.929462e-9,0.0007758158,0.00011955914,0.0000013558508,0.8103219,0.000029389792,0.004879193],"study_design_scores_gemma":[0.00024280818,0.000010510722,0.6296437,0.000014320004,0.000004775934,0.0000041828353,0.0012747946,0.015752086,0.00001690936,0.28087056,0.07198893,0.00017643515],"about_ca_topic_score_codex":0.00041443983,"about_ca_topic_score_gemma":0.0005456872,"teacher_disagreement_score":0.5294514,"about_ca_system_score_codex":0.00007887886,"about_ca_system_score_gemma":0.00010507667,"threshold_uncertainty_score":0.26767957},"labels":[],"label_agreement":null},{"id":"W2027947818","doi":"10.1016/j.econlet.2015.01.004","title":"Performance pay, competitiveness, and the gender wage gap: Evidence from the United States","year":2015,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Compensation (psychology); Economics; Wage; Labour economics; Demographic economics; Psychology","score_opus":0.0678762978574869,"score_gpt":0.22247320990606773,"score_spread":0.15459691204858084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027947818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9649807,0.0008428234,0.0011134335,0.031148698,0.0005128485,0.00022429194,0.00028460537,0.000023074464,0.00086950377],"genre_scores_gemma":[0.9818165,0.0035402817,0.00020232878,0.014031964,0.0001950024,0.000026629898,0.00008603324,0.000025115936,0.000076193195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986856,0.00010209027,0.00051434414,0.00038978297,0.000030825577,0.00027733308],"domain_scores_gemma":[0.9982347,0.0007811385,0.00032712592,0.0005336877,0.000034166238,0.00008917969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020783606,0.00019058339,0.00034116826,0.000058877424,0.00019293932,0.00025449102,0.0004714672,0.00005445036,0.00007505552],"category_scores_gemma":[0.0001626359,0.00012339189,0.00007482695,0.00012944578,0.00038275242,0.00032733785,0.0001901254,0.00023536531,0.0001092557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026900406,0.000027955817,0.8268861,0.000019790623,0.00020605471,0.000003847819,0.004558184,0.008885489,0.0000056237864,0.15682541,0.0017607625,0.00055176055],"study_design_scores_gemma":[0.004461222,0.00005044867,0.4965444,0.000069480564,0.000047392772,0.000008822125,0.0010021233,0.2528154,0.000023213366,0.09627839,0.14773057,0.00096854754],"about_ca_topic_score_codex":0.0035391792,"about_ca_topic_score_gemma":0.00013652118,"teacher_disagreement_score":0.33034173,"about_ca_system_score_codex":0.00012703365,"about_ca_system_score_gemma":0.000025653368,"threshold_uncertainty_score":0.5350204},"labels":[],"label_agreement":null},{"id":"W2028934550","doi":"10.1177/0020715214561133","title":"Employment transitions and the cycle of income inequality in postindustrial societies","year":2014,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dualism; Economics; Economic inequality; Inequality; Post-industrial society; Income inequality metrics; Labour economics; Industrialisation; Index (typography); Tertiary sector of the economy; Income distribution; Wage; Demographic economics; Economy; Market economy","score_opus":0.05188925906713978,"score_gpt":0.3139653541820372,"score_spread":0.26207609511489743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028934550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98650324,0.0003011473,0.0047183367,0.0063533233,0.00046520834,0.00006218964,0.000073114585,0.000001542121,0.0015219238],"genre_scores_gemma":[0.99934554,0.00007177563,0.00016477071,0.00024409566,0.00014870027,0.0000026507662,0.000003813353,0.0000027756223,0.00001589822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986782,0.00025785028,0.0008414297,0.00008455784,0.000057183723,0.00008074514],"domain_scores_gemma":[0.99840546,0.0006148793,0.00071359094,0.000064135515,0.00017950633,0.000022460594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023181697,0.000067801295,0.00044002634,0.00010294041,0.000029423434,0.000014097267,0.00022172896,0.000066308225,0.000046010136],"category_scores_gemma":[0.00021115168,0.000052311512,0.0001115829,0.00004693173,0.00045956275,0.00008830434,0.000038298345,0.0002290783,0.0000017785528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032379045,0.000075215015,0.06862698,0.0000030646029,0.00015538823,0.0000011281015,0.0062698396,0.00037997428,0.000017462247,0.9239975,0.00003078525,0.000118856195],"study_design_scores_gemma":[0.0034497147,0.00011534795,0.18485093,0.00001663532,0.0000058725814,0.000008043592,0.000623766,0.002113203,0.000015879026,0.8082138,0.000520394,0.00006643033],"about_ca_topic_score_codex":0.00008443096,"about_ca_topic_score_gemma":0.000024983165,"teacher_disagreement_score":0.116223946,"about_ca_system_score_codex":0.000058507827,"about_ca_system_score_gemma":0.00002493007,"threshold_uncertainty_score":0.21332017},"labels":[],"label_agreement":null},{"id":"W2029570589","doi":"10.1111/irel.12092","title":"Do Train‐or‐Pay Schemes Really Increase Training Levels?","year":2015,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Incentive; Portfolio; Training (meteorology); Human capital; Identification (biology); Business; Order (exchange); Economics; Public economics; Labour economics; Finance; Microeconomics; Economic growth","score_opus":0.19490529679897947,"score_gpt":0.2868259206183081,"score_spread":0.09192062381932861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029570589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945454,0.00092851836,0.0070278156,0.0032464855,0.0008071294,0.0002056516,0.00023412314,0.00001771783,0.042078543],"genre_scores_gemma":[0.9949181,0.00014081849,0.0032207905,0.00025400726,0.00069198146,0.0000036699007,0.000005991724,0.000015523925,0.00074911624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998285,0.000055207693,0.0011709246,0.00021100459,0.000049870105,0.00022796953],"domain_scores_gemma":[0.9981101,0.00028725222,0.0009741763,0.0001627038,0.00015648217,0.00030926548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037495708,0.00015268342,0.0005055816,0.000112401875,0.00016638981,0.0001938969,0.00017649474,0.0003013055,0.00025488483],"category_scores_gemma":[0.0010785733,0.00012921794,0.00025155977,0.00022810407,0.000104458704,0.0007139865,0.00004398933,0.0006202163,0.000010429542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026363984,0.000200128,0.08104553,0.000016418036,0.0007473994,0.000027509977,0.012752081,0.00039669353,0.0000031866475,0.8769929,0.00775262,0.019801889],"study_design_scores_gemma":[0.009496409,0.00050798146,0.009810979,0.000109619,0.00008573317,0.00015350113,0.0074881776,0.0040958948,0.000004827453,0.4835902,0.48396766,0.00068904756],"about_ca_topic_score_codex":0.00006113268,"about_ca_topic_score_gemma":0.0000079178535,"teacher_disagreement_score":0.47621503,"about_ca_system_score_codex":0.00018928412,"about_ca_system_score_gemma":0.0005245734,"threshold_uncertainty_score":0.52693546},"labels":[],"label_agreement":null},{"id":"W2030696105","doi":"10.1086/662066","title":"Tasks and Heterogeneous Human Capital","year":2011,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Human capital; Task (project management); Feature (linguistics); Kalman filter; National Longitudinal Surveys; Interpretation (philosophy); Filter (signal processing); Key (lock); Capital (architecture); Computer science; Labour economics; Economics; Artificial intelligence; Management; Economic growth; Computer security","score_opus":0.03578945607351435,"score_gpt":0.22098307957404756,"score_spread":0.1851936235005332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030696105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927584,0.0011060097,0.000149538,0.00013821606,0.0005213664,0.000056056706,0.00017588021,0.000007173046,0.0050873873],"genre_scores_gemma":[0.9973319,0.0007768295,0.0012941373,0.0002667517,0.00017657722,0.0000012532824,0.0000024152341,0.000025279824,0.00012484181],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853647,0.000015819012,0.0010272043,0.00019340646,0.000017290131,0.00020980666],"domain_scores_gemma":[0.9985359,0.00002746312,0.0009943866,0.00021982833,0.00007012167,0.00015231775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077229535,0.000143448,0.0004700913,0.00018391132,0.00007093781,0.000068585214,0.00024039461,0.000099376026,0.00029528278],"category_scores_gemma":[0.000047327645,0.00015492523,0.00013040019,0.000060957107,0.00006995296,0.000314039,0.00006226798,0.00018058704,0.000024570096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004693713,0.00012329883,0.1608738,0.00001875122,0.00015997075,0.00003728713,0.0011454559,0.00002986773,0.000028330136,0.8368599,0.000026244388,0.00065016863],"study_design_scores_gemma":[0.0012017526,0.0004017072,0.116810374,0.000014291273,0.000022851435,0.00019459758,0.0001495784,0.00020696812,0.00021224303,0.87243676,0.007936104,0.00041275934],"about_ca_topic_score_codex":0.00012307134,"about_ca_topic_score_gemma":0.000068596746,"teacher_disagreement_score":0.044063423,"about_ca_system_score_codex":0.00008651023,"about_ca_system_score_gemma":0.00002551126,"threshold_uncertainty_score":0.63176674},"labels":[],"label_agreement":null},{"id":"W2031709939","doi":"10.7202/050795ar","title":"The Impact of the Ontarian Minimum Wage on the Unemployment of Women and the Young in Ontario: A Note","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Minimum wage; Robustness (evolution); Economics; Wage; Econometrics; Demographic economics; Labour economics; Economic growth","score_opus":0.021655500759244144,"score_gpt":0.2257821591381322,"score_spread":0.20412665837888808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031709939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823872,0.00021191432,0.00002000095,0.006843271,0.00008139814,0.00035779324,0.000065871835,0.000002682818,0.010029868],"genre_scores_gemma":[0.99784076,0.000080034406,0.000011222779,0.000054959506,0.000020103224,0.000028647903,0.0000019776944,0.0000076021415,0.0019546633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99894184,0.000092583155,0.000569781,0.00014003037,0.000056011,0.00019973493],"domain_scores_gemma":[0.99830717,0.00078183506,0.00038251813,0.00047836886,0.000024181018,0.000025908741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019381441,0.0001051632,0.0002135771,0.000053409767,0.00024300886,0.000041089694,0.00029267522,0.00010514283,0.000113144604],"category_scores_gemma":[0.00035256363,0.00004798415,0.000109566965,0.000278429,0.00023441727,0.000066991925,0.000085706575,0.0004329398,0.0000044967373],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008128544,0.000079620026,0.43361515,5.608496e-7,0.00008975429,1.9660379e-7,0.008579395,0.002663706,0.0000021763233,0.5537596,0.00017738105,0.000951223],"study_design_scores_gemma":[0.0012411043,0.00006715326,0.9082223,0.000028499455,0.000009955966,0.0000013408322,0.00076157134,0.0068852636,0.00001339772,0.07252278,0.01012094,0.0001256767],"about_ca_topic_score_codex":0.07070342,"about_ca_topic_score_gemma":0.07910402,"teacher_disagreement_score":0.48123676,"about_ca_system_score_codex":0.0005741209,"about_ca_system_score_gemma":0.00015126822,"threshold_uncertainty_score":0.9376999},"labels":[],"label_agreement":null},{"id":"W2031915354","doi":"10.2139/ssrn.333001","title":"A Political Economy Model of Congressional Careers","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Politics; Political science; Economics; Political economy; Public administration; Law","score_opus":0.02514876706186942,"score_gpt":0.220772863224681,"score_spread":0.1956240961628116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031915354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64828956,0.0068230527,0.044213504,0.0062009315,0.0004546272,0.00019581696,0.00028551093,0.000035250698,0.29350173],"genre_scores_gemma":[0.99753517,0.00046436404,0.00018264132,0.0002895706,0.00011224553,0.0000033068454,0.00000343158,0.00001948789,0.0013897738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99744225,0.000021690685,0.0006621991,0.00022008506,0.00004957753,0.0016041764],"domain_scores_gemma":[0.9992077,0.000043475342,0.00034078656,0.00019748119,0.00007079544,0.00013975655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319628,0.00013309313,0.00034179795,0.0001557561,0.000089755325,0.00003682433,0.0002806414,0.000095699346,0.00023707126],"category_scores_gemma":[0.00008352714,0.00013728991,0.0001861687,0.00010543302,0.00007586184,0.0001952827,0.000040800183,0.0008276205,0.000043918633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010843835,0.000073387586,0.00777665,0.000006779047,0.000082573584,9.890117e-7,0.000040224426,0.00013782221,0.0000062271497,0.99138886,0.000053583604,0.00042206858],"study_design_scores_gemma":[0.0005156052,0.00007234718,0.00017465159,0.0000065050717,0.0000061236374,0.000038011538,0.00012351251,0.06773991,0.0000068673844,0.9303594,0.0008025595,0.0001545061],"about_ca_topic_score_codex":0.000046419234,"about_ca_topic_score_gemma":0.000040133546,"teacher_disagreement_score":0.3492456,"about_ca_system_score_codex":0.00065814867,"about_ca_system_score_gemma":0.00024497267,"threshold_uncertainty_score":0.55985206},"labels":[],"label_agreement":null},{"id":"W2032615020","doi":"10.7202/029064ar","title":"La relation entre le niveau d’éducation des travailleurs et les taux de roulement volontaire.","year":2005,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04087846309993212,"score_gpt":0.2615085788797702,"score_spread":0.22063011577983807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032615020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81356484,0.015030397,0.031316873,0.044615924,0.00062166195,0.00036738245,0.00049571664,0.00006729593,0.09391989],"genre_scores_gemma":[0.9260169,0.0042972146,0.004084494,0.00012380794,0.0002495872,0.00003053212,0.0002272311,0.000043642416,0.06492656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977528,0.00037175984,0.0009070553,0.00045610731,0.00007917598,0.00043313007],"domain_scores_gemma":[0.99845105,0.00041806136,0.0005369705,0.00036255582,0.00010253149,0.00012884289],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020938118,0.00025685562,0.00030613213,0.00027591432,0.0005192501,0.00016884251,0.00020003036,0.0008446143,0.0010694009],"category_scores_gemma":[0.0005277799,0.00035360368,0.0001559087,0.000506895,0.00024149325,0.00073365064,0.00006187195,0.000856687,0.00023847523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010849296,0.00037282074,0.18385594,0.000010584851,0.000090290625,0.0000027092,0.00475524,0.011480574,0.000002933035,0.71163714,0.0036549678,0.084125966],"study_design_scores_gemma":[0.00091520743,0.000061963554,0.2424313,0.00016189435,0.00006182246,0.000016444097,0.003249327,0.027678883,0.000029097106,0.056290414,0.6686037,0.0004999149],"about_ca_topic_score_codex":0.002627166,"about_ca_topic_score_gemma":0.0012198425,"teacher_disagreement_score":0.66494876,"about_ca_system_score_codex":0.0011431512,"about_ca_system_score_gemma":0.00051227945,"threshold_uncertainty_score":0.9998916},"labels":[],"label_agreement":null},{"id":"W2034312209","doi":"10.1080/00346760050132346","title":"Earnings Differentials among Ethnic Groups in Canada: A Review of the Research","year":2000,"lang":"en","type":"review","venue":"Review of Social Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Ethnic group; Immigration; Demographic economics; Equity (law); Norm (philosophy); Population; Ethnic discrimination; Variance (accounting); Economics; Labour economics; Geography; Political science; Demography; Sociology","score_opus":0.10331384981010559,"score_gpt":0.34183552836257897,"score_spread":0.23852167855247336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034312209","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001262187,0.9696965,7.6944724e-7,0.00033057627,0.00016698966,0.0021880695,0.0005117072,0.0000041851467,0.02697496],"genre_scores_gemma":[0.00026049826,0.9984497,0.0000051616025,0.00040804784,0.00012169656,0.00030786355,0.00009090094,0.000057072637,0.00029908126],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99323183,0.0009793945,0.004431078,0.0006532423,0.00015926342,0.0005452021],"domain_scores_gemma":[0.9947561,0.00050064817,0.0036388438,0.0008629119,0.00015429559,0.00008717278],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0075424067,0.00042912655,0.00607128,0.00022870941,0.000101509526,0.000017403394,0.0013434759,0.00026958116,0.0021937347],"category_scores_gemma":[0.00076900434,0.0003589098,0.0013588067,0.0015337869,0.00023982886,0.00011429477,0.0003152674,0.001115882,0.000037854123],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.931077e-7,0.000045458783,0.00057281443,0.69853514,0.00013490276,0.0000016760363,0.000035033816,3.9991242e-8,9.362597e-10,0.032274514,0.0016724826,0.2667269],"study_design_scores_gemma":[0.00007435869,0.0000068449285,0.0014637774,0.26067203,0.000093818715,8.336602e-7,0.000005162628,9.987958e-7,1.4284231e-8,0.0020820238,0.7353501,0.00025009562],"about_ca_topic_score_codex":0.19281924,"about_ca_topic_score_gemma":0.08856824,"teacher_disagreement_score":0.73367757,"about_ca_system_score_codex":0.0013923555,"about_ca_system_score_gemma":0.0020366868,"threshold_uncertainty_score":0.9998863},"labels":[],"label_agreement":null},{"id":"W2034893912","doi":"10.1177/0020715212474286","title":"Thinking globally about inequality and stratification: Wages across the world, 1982–2009","year":2012,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inequality; Stratification (seeds); Residence; Wage inequality; Social stratification; Economics; Wage; Distribution (mathematics); Demographic economics; Labour economics; Development economics; Sociology; Social science","score_opus":0.06622140596291791,"score_gpt":0.3596655263306219,"score_spread":0.29344412036770395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034893912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740269,0.0047222204,0.005412978,0.007153063,0.0016167201,0.00007530325,0.00020572482,0.000006794113,0.0067802765],"genre_scores_gemma":[0.99728227,0.00019398845,0.0005613999,0.0010953085,0.0006927142,0.0000033489187,0.000012407155,0.0000053366452,0.00015325141],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985015,0.00016638194,0.0008569635,0.00013149157,0.00012684414,0.00021681118],"domain_scores_gemma":[0.9979491,0.00043110125,0.0011018703,0.00012930264,0.00032041062,0.000068209345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034631165,0.00012043931,0.00036233084,0.00007307876,0.00015061854,0.00013889704,0.00063990615,0.0000706216,0.00012336345],"category_scores_gemma":[0.00014029817,0.000092592796,0.0001118046,0.00008321916,0.00032937003,0.00037761574,0.000117872034,0.00032036766,0.000021954898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043282267,0.0000672797,0.22910123,0.0000023823434,0.0002023348,0.000001666776,0.006262274,0.00003847624,0.00001617865,0.7635432,0.00041004748,0.00031164725],"study_design_scores_gemma":[0.0004219126,0.00003911001,0.59992534,0.000011540294,0.000006327829,0.00002893562,0.0008730206,0.00017180754,0.000021261669,0.376088,0.022294538,0.00011818066],"about_ca_topic_score_codex":0.00004257968,"about_ca_topic_score_gemma":0.00006863993,"teacher_disagreement_score":0.3874552,"about_ca_system_score_codex":0.0001107205,"about_ca_system_score_gemma":0.000027481134,"threshold_uncertainty_score":0.37758246},"labels":[],"label_agreement":null},{"id":"W2036055001","doi":"10.1016/s0176-2680(00)00032-x","title":"An application of the ‘insider–outsider’ hypothesis: categorical adjustment assistance programs in France","year":2001,"lang":"en","type":"article","venue":"European Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Insider; Restructuring; Categorical variable; Unemployment; Economics; Politics; Government (linguistics); Labour economics; Demographic economics; Public economics; Economic growth; Finance; Political science","score_opus":0.038085534412579745,"score_gpt":0.2297945709444602,"score_spread":0.19170903653188046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036055001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.893573,0.0005784296,0.023125706,0.003890405,0.0003455167,0.00029366498,0.00002559835,0.000012590907,0.078155085],"genre_scores_gemma":[0.99809283,0.000029183937,0.00076347636,0.00078249455,0.00024642627,0.000004233301,0.000001340159,0.000024836267,0.000055156168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977272,0.00019888412,0.0014181741,0.00024347684,0.000055552988,0.00035671436],"domain_scores_gemma":[0.998398,0.00008505628,0.0008110095,0.0004260301,0.000089723544,0.00019015433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016163093,0.00014359968,0.0004302322,0.00011507566,0.00003989208,0.000045405086,0.0005050736,0.000040577463,0.00005103524],"category_scores_gemma":[0.00014577489,0.0001212023,0.00017600649,0.00021950778,0.00012819031,0.00024978598,0.00004434037,0.00027173443,0.000029013803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017881077,0.0003302319,0.18240656,0.000018744295,0.000023389584,0.000019310472,0.00009890186,0.00006421683,0.000009080454,0.8111077,0.000011069551,0.005892913],"study_design_scores_gemma":[0.0007465009,0.00016210892,0.7375233,0.000024090565,0.000009409921,0.000040822822,0.000097183576,0.0016400273,0.000020454629,0.24464363,0.01490705,0.00018538613],"about_ca_topic_score_codex":0.00007874675,"about_ca_topic_score_gemma":0.000019268613,"teacher_disagreement_score":0.56646407,"about_ca_system_score_codex":0.00017144748,"about_ca_system_score_gemma":0.000044063076,"threshold_uncertainty_score":0.49424863},"labels":[],"label_agreement":null},{"id":"W2036534820","doi":"10.1177/0020715208093076","title":"Labor Market Effects of Field of Study in Comparative Perspective","year":2008,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Unemployment; Field (mathematics); Economics; Perspective (graphical); Labour economics; Demographic economics; Economic growth","score_opus":0.04886597736523317,"score_gpt":0.3468081051327227,"score_spread":0.2979421277674895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036534820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99022377,0.0009852082,0.00080021174,0.00039735672,0.000665346,0.00016776561,0.000058261918,0.0000018355687,0.006700221],"genre_scores_gemma":[0.9993674,0.00012882284,0.0002566743,0.00008695641,0.00008029107,0.0000045339375,0.0000014487482,0.0000042386196,0.00006964677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836373,0.0002269634,0.0010527408,0.00014973877,0.00009503754,0.00011176175],"domain_scores_gemma":[0.9966475,0.0011088739,0.0013410362,0.0001002078,0.0007702994,0.000032078955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684156,0.00011366448,0.00085890945,0.00034424674,0.000020937303,0.000004131164,0.00037715418,0.00007210758,0.00015071731],"category_scores_gemma":[0.0003077369,0.00011026375,0.00014922851,0.00013357573,0.00023930644,0.00013627557,0.00005860152,0.00026983727,0.000003767117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064585055,0.0011430868,0.72057384,0.00001033901,0.00071626133,0.00006339,0.044440974,0.0001405199,0.00010792213,0.23182179,0.0003211326,0.000014858292],"study_design_scores_gemma":[0.0025459751,0.0012389518,0.8795182,0.000033846605,0.000009110131,0.000016429898,0.005198707,0.00033385475,0.0005724618,0.110259786,0.0001523702,0.000120297314],"about_ca_topic_score_codex":0.00023234123,"about_ca_topic_score_gemma":0.000059675112,"teacher_disagreement_score":0.15894434,"about_ca_system_score_codex":0.00015394884,"about_ca_system_score_gemma":0.00007206698,"threshold_uncertainty_score":0.4496425},"labels":[],"label_agreement":null},{"id":"W2036596472","doi":"10.1348/096317904774202108","title":"Specific versus general skills and abilities: A job level examination of relationships with wage","year":2004,"lang":"en","type":"article","venue":"Journal of Occupational and Organizational Psychology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Psychology; Variance (accounting); Workforce; Cognition; Economic shortage; Cognitive skill; Perception; Social skills; Social psychology; Labour economics; Economics; Developmental psychology","score_opus":0.07228906652235574,"score_gpt":0.2842915401813386,"score_spread":0.2120024736589829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036596472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786882,0.00033907488,0.018853717,0.00066761096,0.0002286483,0.000059233316,0.00017815376,0.0000031028303,0.0009822816],"genre_scores_gemma":[0.9900323,0.0002755173,0.009339101,0.00010231421,0.00013723483,9.687996e-7,0.000033813645,0.000011044505,0.00006769462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990084,0.000036842357,0.0006206762,0.00016335514,0.0000837998,0.0000868843],"domain_scores_gemma":[0.9988098,0.00017627703,0.0005386703,0.00008478719,0.00033378412,0.000056656052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000670149,0.00009172116,0.00022914185,0.00022331616,0.000080144375,0.000021580221,0.000074936004,0.000082989136,0.00010734999],"category_scores_gemma":[0.00025010572,0.00008448816,0.00002734939,0.00025673292,0.00012908893,0.00022373466,0.000016979402,0.00013427227,0.00000333201],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001749374,0.0001345861,0.39551958,0.000010080796,0.0000485716,0.000002517834,0.00034020605,0.0002360458,0.00004505246,0.60331494,0.000028581293,0.00014487535],"study_design_scores_gemma":[0.0020042395,0.00020151793,0.9024845,0.000011703928,0.000006483409,0.000055963956,0.000035130462,0.000023711886,0.0000130763465,0.094780535,0.00029495166,0.00008818108],"about_ca_topic_score_codex":0.0000075978064,"about_ca_topic_score_gemma":0.000012165806,"teacher_disagreement_score":0.50853443,"about_ca_system_score_codex":0.000054047712,"about_ca_system_score_gemma":0.000054547712,"threshold_uncertainty_score":0.3445327},"labels":[],"label_agreement":null},{"id":"W2037321153","doi":"10.3138/cpp.2013-060","title":"Minimum Wages and Wage Spillovers in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spillover effect; Distribution (mathematics); Economics; Wage; Minimum wage; Labour economics; Demographic economics; Mathematics","score_opus":0.03525195266516572,"score_gpt":0.20938320854001943,"score_spread":0.17413125587485373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037321153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8908064,0.00055550033,0.0000061783967,0.019401517,0.00027821373,0.000099681325,0.0008651632,0.000007983699,0.08797937],"genre_scores_gemma":[0.99513245,0.000063029685,0.000029685341,0.003705963,0.00010641144,0.0000074499903,0.00002410795,0.000016751883,0.0009141408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871826,0.000018835466,0.00034182577,0.00028366217,0.00003776673,0.0005996664],"domain_scores_gemma":[0.9985013,0.00002710201,0.000091643466,0.00027175184,0.000032169697,0.0010760197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314994,0.00012602324,0.00025347658,0.0005662904,0.00004841389,0.000106413005,0.00021122015,0.00006892366,0.0000853179],"category_scores_gemma":[0.0006848336,0.00015490236,0.00002223428,0.00051164586,0.000042750886,0.00021040402,0.00004102637,0.00012304969,0.000026931773],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014955978,0.000005003581,0.36353698,0.000006035389,0.000010092504,0.00003704303,0.0001225638,0.0000032372382,2.1280785e-7,0.6289454,0.0050548553,0.0022770446],"study_design_scores_gemma":[0.00080075493,0.000018320126,0.351634,0.0000059991826,0.0000012022027,0.000008438435,0.0002803314,0.0013801387,8.539612e-7,0.0720797,0.5733676,0.00042266556],"about_ca_topic_score_codex":0.99966586,"about_ca_topic_score_gemma":0.999827,"teacher_disagreement_score":0.56831276,"about_ca_system_score_codex":0.0031521984,"about_ca_system_score_gemma":0.008303267,"threshold_uncertainty_score":0.99731874},"labels":[],"label_agreement":null},{"id":"W2039450109","doi":"10.1257/aer.102.3.526","title":"Contract Form, Wage Flexibility, and Employment","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; University of British Columbia","funders":"","keywords":"Economics; Wage; Flexibility (engineering); Labour economics; Unemployment; Panel Study of Income Dynamics; Productivity; Compensation (psychology); Complement (music); Efficiency wage; Unemployment rate; Panel data; Work (physics); Econometrics; Macroeconomics","score_opus":0.04045856232204894,"score_gpt":0.2889965679179435,"score_spread":0.24853800559589453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039450109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8247383,0.14683019,0.0003054845,0.001812182,0.00042815297,0.0005626509,0.00026124823,0.00005146682,0.02501028],"genre_scores_gemma":[0.9037962,0.09164383,0.00043755586,0.0036813046,0.00012742223,0.0000544392,0.000018831377,0.000027282944,0.00021312121],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981624,0.000044676282,0.00091753615,0.00039828927,0.000020836302,0.00045624468],"domain_scores_gemma":[0.9984767,0.00010215156,0.00064303016,0.0005391362,0.000011032307,0.00022794315],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018506552,0.00021211294,0.00090593373,0.000055020322,0.00006370585,0.00004517081,0.0001892983,0.000034815555,0.0007573474],"category_scores_gemma":[0.000083023435,0.000218407,0.0001587625,0.00008247691,0.00016249079,0.00037996197,0.00010928069,0.00011951399,0.000787144],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009801597,0.00012777843,0.46093914,0.00037338346,0.00010171803,0.0000011380013,0.00013137188,0.0000015787493,0.0000031180841,0.38997784,0.00105896,0.14727417],"study_design_scores_gemma":[0.00048615123,0.00012577928,0.304399,0.00022300423,0.0000463315,0.000021987818,0.000028533364,0.00034096607,0.000007704832,0.01869393,0.67480326,0.00082334026],"about_ca_topic_score_codex":0.0010292707,"about_ca_topic_score_gemma":0.00006376953,"teacher_disagreement_score":0.6737443,"about_ca_system_score_codex":0.00021051841,"about_ca_system_score_gemma":0.000018368717,"threshold_uncertainty_score":0.9999909},"labels":[],"label_agreement":null},{"id":"W2039933812","doi":"10.1080/13504851.2013.795270","title":"Attrition and the estimation of employment and wage equations: the Canadian survey of labour and income dynamics","year":2013,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Université de Montréal","funders":"","keywords":"Microdata (statistics); Attrition; Economics; Wage; Labour economics; Panel Study of Income Dynamics; Current Population Survey; Estimation; Sample (material); Demographic economics; Panel data; Survey of Income and Program Participation; Population; Econometrics; Census; Sociology","score_opus":0.01787392502862896,"score_gpt":0.19471601972120386,"score_spread":0.1768420946925749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039933812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99186945,0.00016614058,0.0012438323,0.00538853,0.000051219136,0.00046177625,0.00049865467,0.0000035741232,0.00031684188],"genre_scores_gemma":[0.99838287,0.00028241385,0.00030659395,0.0008915742,0.000009335136,0.000047802216,0.000055188786,0.000011829534,0.000012415973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990801,0.00003477388,0.0005252351,0.00019885809,0.000017347864,0.00014367225],"domain_scores_gemma":[0.99890554,0.0004194894,0.00036069515,0.00023467543,0.000025281095,0.000054338514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015014528,0.00010491433,0.00028544225,0.000102517006,0.00014159587,0.00010266831,0.00011473691,0.00005838375,0.000015800997],"category_scores_gemma":[0.00008340531,0.000087502194,0.000021829885,0.000086015534,0.00030004585,0.00011946062,0.000059449347,0.00008750982,0.000003662308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015073328,0.000008612297,0.07865348,0.000032172273,0.000051381678,4.1590752e-8,0.00028996932,0.0008540764,0.0000062351482,0.91772366,0.000017766617,0.0023475431],"study_design_scores_gemma":[0.00073780026,0.000009592486,0.8430705,0.0000051582406,0.000007136474,7.468856e-7,0.00005265167,0.08932288,0.000005953994,0.066623494,0.000042597676,0.00012146149],"about_ca_topic_score_codex":0.27573463,"about_ca_topic_score_gemma":0.14660262,"teacher_disagreement_score":0.85110015,"about_ca_system_score_codex":0.00010077522,"about_ca_system_score_gemma":0.000018840477,"threshold_uncertainty_score":0.8689697},"labels":[],"label_agreement":null},{"id":"W2040233890","doi":"10.1111/j.0008-4085.2005.00270.x","title":"Minimum wage impacts on youth employment transitions, 1993–1999","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; The Scarborough Hospital; York University; University of Toronto","funders":"","keywords":"Minimum wage; Economics; Wage; Labour economics; Percentage point; Demographic economics; Longitudinal data; Sociology; Demography","score_opus":0.11089307108879166,"score_gpt":0.19162541281154374,"score_spread":0.08073234172275208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040233890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981553,0.00081234117,0.00012965457,0.006841593,0.0015277668,0.00028483692,0.0031518545,0.000012115493,0.0056868126],"genre_scores_gemma":[0.9950194,0.00030143154,0.00044585764,0.0024966772,0.0010519861,0.000011022614,0.00006961985,0.000088323715,0.00051569013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99640554,0.000052556916,0.0019158208,0.0005552893,0.0000033677256,0.0010674314],"domain_scores_gemma":[0.9957361,0.00010158289,0.0011679755,0.0006439394,0.000117216914,0.002233134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015715937,0.00042599597,0.0010020933,0.0011455801,0.00024020216,0.00023652124,0.0006864045,0.0002706244,0.000721578],"category_scores_gemma":[0.00020570552,0.00054178544,0.0004675656,0.00019006385,0.00013295833,0.00062083313,0.000018295885,0.0005222219,0.00018686774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010616378,0.00006926678,0.008719277,0.000024666904,0.0002488099,0.000098343065,0.0037590682,0.005700411,0.0000046485598,0.9783735,0.0006311388,0.0022646708],"study_design_scores_gemma":[0.005731172,0.0020729078,0.014062194,0.00040291887,0.00014368986,0.00048578245,0.0024158896,0.008183448,0.0001827002,0.7502716,0.21299133,0.0030563758],"about_ca_topic_score_codex":0.110127114,"about_ca_topic_score_gemma":0.9046469,"teacher_disagreement_score":0.7945198,"about_ca_system_score_codex":0.0034192733,"about_ca_system_score_gemma":0.00092454406,"threshold_uncertainty_score":0.99970335},"labels":[],"label_agreement":null},{"id":"W2040725673","doi":"10.1016/j.jpubeco.2012.09.004","title":"Second-order statistical discrimination","year":2012,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Human capital; Economics; Incentive; Distribution (mathematics); Labour economics; Demographic economics; Microeconomics; Mathematics; Economic growth","score_opus":0.05330811965549387,"score_gpt":0.2558739768159862,"score_spread":0.20256585716049236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040725673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203526,0.00077339646,0.045740392,0.0017454192,0.0019763254,0.000067993285,0.0002872417,0.000009077596,0.0290476],"genre_scores_gemma":[0.99269783,0.00025312844,0.005594394,0.0003664261,0.00060137163,0.0000021525643,0.000018956402,0.000023137834,0.0004426032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982324,0.000040982883,0.0011830148,0.00013660289,0.0000315556,0.00037543074],"domain_scores_gemma":[0.99815094,0.00014078249,0.0010859746,0.00020572297,0.0001379268,0.0002786779],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003250413,0.00012969166,0.00042135993,0.00026803024,0.000061585306,0.000154192,0.00025564063,0.000101647194,0.0019087925],"category_scores_gemma":[0.00057139865,0.00013557448,0.00012051818,0.00012700833,0.000052418083,0.0013796408,0.000055432967,0.00023295524,0.00011085207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000718843,0.00014346284,0.10222892,0.000014741559,0.000062016545,0.0000010208619,0.0001635575,0.000010223843,0.0000021235203,0.8943498,0.0005023944,0.0025145204],"study_design_scores_gemma":[0.0010293879,0.00011680028,0.23341158,0.000007573314,0.000017344311,0.00007412242,0.00022442888,0.0016412012,0.00001434222,0.48318362,0.2798753,0.00040429892],"about_ca_topic_score_codex":0.000012060805,"about_ca_topic_score_gemma":0.00002929992,"teacher_disagreement_score":0.41116622,"about_ca_system_score_codex":0.0002552967,"about_ca_system_score_gemma":0.0000686653,"threshold_uncertainty_score":0.9990036},"labels":[],"label_agreement":null},{"id":"W2040992615","doi":"10.5539/ass.v7n7p84","title":"Analysis and Empirical Study of Factors Influencing Undergraduates’ Income Level","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Government (linguistics); Quality (philosophy); Demographic economics; Psychology; Labour economics; Economics; Engineering","score_opus":0.09339285154547529,"score_gpt":0.2995574829010216,"score_spread":0.2061646313555463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040992615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696136,0.000011081163,0.0006876099,0.000043439275,0.000064705164,0.00008482675,0.000044107568,0.000011047999,0.029439542],"genre_scores_gemma":[0.9997518,0.0000030639287,0.00017209501,0.000027906599,0.000012371719,0.0000022549514,8.8468556e-7,0.0000047739723,0.000024841764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884206,0.000024600504,0.00045722237,0.0003582963,0.00009203281,0.00022579452],"domain_scores_gemma":[0.9993482,0.000026447888,0.00030251002,0.0001808913,0.00005734313,0.000084599196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010845205,0.000093167786,0.00033566577,0.0003479961,0.00025922907,0.00004865012,0.00030106533,0.000046172223,0.00003780562],"category_scores_gemma":[0.00012840789,0.00009237496,0.00006619808,0.0021491398,0.00031597263,0.00027703887,0.00014345463,0.00008496134,0.0000029928865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002775593,0.00009939702,0.94430375,0.000002925197,0.000056386052,7.945598e-7,0.01553391,1.4518588e-7,0.000006386419,0.039034806,4.138492e-7,0.0009583299],"study_design_scores_gemma":[0.00013913072,0.00005642949,0.9575968,9.1223535e-7,0.000023379742,8.7586855e-8,0.0035164799,0.00006153645,0.000012148332,0.03847383,0.0000065674767,0.0001127489],"about_ca_topic_score_codex":0.002879828,"about_ca_topic_score_gemma":0.0005550544,"teacher_disagreement_score":0.030138167,"about_ca_system_score_codex":0.000078507815,"about_ca_system_score_gemma":0.000034717494,"threshold_uncertainty_score":0.43534577},"labels":[],"label_agreement":null},{"id":"W2041066007","doi":"10.1111/1468-0335.00222","title":"Mind the Gap, Please: The Changing Nature of Entry Jobs in Britain","year":2000,"lang":"en","type":"article","venue":"Economica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Wage; Economics; Entry Level; Stock (firearms); Position (finance); Distribution (mathematics); Real wages; Barriers to entry; Microeconomics; Engineering","score_opus":0.01258404204526175,"score_gpt":0.21099043376507323,"score_spread":0.19840639171981148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041066007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509909,0.0018104116,0.000014563451,0.0037028443,0.00022082159,0.00019599983,0.00023802285,0.0000061448695,0.04282028],"genre_scores_gemma":[0.99604243,0.0004087129,0.000055562905,0.0007209896,0.0001419562,0.000017022876,0.000012110689,0.000016463871,0.0025847708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987388,0.00004017818,0.0005994335,0.0002911424,0.000020166939,0.00031023234],"domain_scores_gemma":[0.9990401,0.00017945468,0.0002257629,0.00050971704,0.000009631708,0.00003531506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00133972,0.00012646914,0.00029560627,0.00010707497,0.000094935036,0.0000594464,0.0004439042,0.00013021701,0.002637697],"category_scores_gemma":[0.000071453585,0.00009956977,0.00012191136,0.00021824837,0.00008644466,0.00011121579,0.000061265586,0.0003317008,0.00021076493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011190004,0.00019320544,0.2070461,0.00004457428,0.00012962293,0.000008508304,0.0032243114,0.0011621764,0.0000112576545,0.7569213,0.0015168693,0.029630158],"study_design_scores_gemma":[0.0015814493,0.000054563065,0.35950655,0.00005417143,0.000013639032,0.000011071126,0.0007275562,0.02177671,0.00011719727,0.16455904,0.45092887,0.000669212],"about_ca_topic_score_codex":0.0002892922,"about_ca_topic_score_gemma":0.00025210416,"teacher_disagreement_score":0.5923623,"about_ca_system_score_codex":0.00008305308,"about_ca_system_score_gemma":0.000020828831,"threshold_uncertainty_score":0.998274},"labels":[],"label_agreement":null},{"id":"W2041689332","doi":"10.1016/s0926-6437(00)00011-1","title":"Effects of wages on job tenure","year":2000,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Wage; Economics; Wage growth; Cover (algebra); Business","score_opus":0.007269716331040684,"score_gpt":0.21071614082411386,"score_spread":0.20344642449307318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041689332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951334,0.00056147156,0.0014544372,0.0003094802,0.0002895579,0.0000638326,0.000348414,0.0000047749986,0.0018346502],"genre_scores_gemma":[0.99918234,0.00042210947,0.00005255175,0.000049718532,0.00010870858,0.0000011117683,0.000018346798,0.000006961351,0.00015814294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989255,0.000031504183,0.00074000744,0.00010168441,0.000067546156,0.00013374884],"domain_scores_gemma":[0.9989823,0.00010831266,0.00062650273,0.0001334184,0.000089407615,0.000060071838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007371903,0.00009263919,0.00035751262,0.00008177673,0.000040505187,0.000022137607,0.00013291575,0.0000827036,0.00019839777],"category_scores_gemma":[0.00025590556,0.0000843443,0.00017187513,0.0001935635,0.000031619613,0.0001415171,0.000010956929,0.00018028509,0.00003575412],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086002005,0.0011481083,0.27616856,0.00050632295,0.00034637924,0.00013766202,0.00025272212,0.0007547782,0.00058344565,0.69059044,0.0015955347,0.027056027],"study_design_scores_gemma":[0.0011961849,0.00047526215,0.91258806,0.00014905052,0.00001625345,0.000019010702,0.00000909114,0.00025191216,0.001119345,0.074421585,0.00958555,0.00016872698],"about_ca_topic_score_codex":0.000029140772,"about_ca_topic_score_gemma":0.000001322977,"teacher_disagreement_score":0.6364195,"about_ca_system_score_codex":0.00012976583,"about_ca_system_score_gemma":0.000015125096,"threshold_uncertainty_score":0.34394604},"labels":[],"label_agreement":null},{"id":"W2042302367","doi":"10.1007/s12122-005-1019-z","title":"How minimum wages affect schooling-employment outcomes in Canada, 1993–1999","year":2005,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinomial logistic regression; Economics; Affect (linguistics); Minimum wage; Labour economics; Wage; Survey of Income and Program Participation; Longitudinal data; Demographic economics; National Longitudinal Surveys; Logit; Econometrics; Psychology; Sociology; Mathematics; Statistics; Demography","score_opus":0.061169202275932595,"score_gpt":0.3204767860886132,"score_spread":0.2593075838126806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042302367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96799195,0.0038640199,0.000040811854,0.026514841,0.0003598452,0.00016819075,0.00017293287,0.0000038708536,0.00088356796],"genre_scores_gemma":[0.9961867,0.0010393304,0.00046282078,0.00026591273,0.00028938582,0.000007158739,0.0000021093117,0.000025662213,0.0017209582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997597,0.00017125165,0.0009605926,0.0002611151,0.00036938,0.00064065354],"domain_scores_gemma":[0.99817646,0.00047546416,0.00045346946,0.00034237772,0.00030694166,0.00024531264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005464239,0.00016011654,0.0006489796,0.0006811944,0.00009376074,0.00021638273,0.0005801583,0.000080148624,0.00013438142],"category_scores_gemma":[0.001388128,0.00014383772,0.0001292335,0.00064948865,0.000048743514,0.00040754591,0.000120284945,0.00088407344,0.00002205284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078495,0.00018705805,0.9733806,0.000034238838,0.00009176689,0.00015856071,0.00014128888,0.00015557221,0.00006193544,0.020295627,0.0026677253,0.0027471066],"study_design_scores_gemma":[0.0018989248,0.0002454452,0.8693344,0.00008091645,0.0000049502814,0.000016734248,0.00042529264,0.0011081946,0.0002064006,0.012385544,0.11395429,0.00033889638],"about_ca_topic_score_codex":0.3083437,"about_ca_topic_score_gemma":0.59615797,"teacher_disagreement_score":0.28781426,"about_ca_system_score_codex":0.001730514,"about_ca_system_score_gemma":0.0007775957,"threshold_uncertainty_score":0.69626206},"labels":[],"label_agreement":null},{"id":"W2044010886","doi":"10.1016/j.regsciurbeco.2008.05.012","title":"FDI location and size: Does employment protection legislation matter?","year":2008,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Employment protection legislation; Legislation; Foreign direct investment; Flexibility (engineering); Business; Work (physics); Labour economics; Investment (military); Job creation; International economics; Economics; Economic growth; Unemployment; Politics; Political science","score_opus":0.032847698613204225,"score_gpt":0.21118767355124915,"score_spread":0.17833997493804493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044010886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394524,0.00021369837,0.00082365377,0.002769832,0.00018132257,0.00019678222,0.000019327957,0.000016033837,0.0018341177],"genre_scores_gemma":[0.9975344,0.00088129006,0.00024291888,0.0005054323,0.00009870116,0.00001947074,0.0000037226555,0.000008360698,0.0007057305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998987,0.00000820601,0.00032637714,0.00043831312,0.000041482563,0.00019859336],"domain_scores_gemma":[0.9994197,0.000031965235,0.00021487592,0.00016893035,0.00006909661,0.00009546892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074714737,0.00010542037,0.00016580398,0.00009341924,0.000388533,0.00010818279,0.000110236615,0.0000534962,0.000027390348],"category_scores_gemma":[0.00006732296,0.00010042381,0.000022332364,0.00019964243,0.00040507966,0.000684096,0.00005410713,0.00006775351,0.00002833098],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027590573,0.0000575055,0.44132265,0.000022306936,0.000013795356,9.828456e-7,0.0006560331,0.00008934462,0.000082702834,0.5555201,0.00025552546,0.0019514166],"study_design_scores_gemma":[0.00036248664,0.00005433031,0.8663375,0.000010849597,0.0000028204909,0.000032663054,0.00004997901,0.012567069,0.000043212738,0.101424895,0.018823633,0.00029057165],"about_ca_topic_score_codex":0.00036126978,"about_ca_topic_score_gemma":0.000043275784,"teacher_disagreement_score":0.45409524,"about_ca_system_score_codex":0.00017616211,"about_ca_system_score_gemma":0.00006896303,"threshold_uncertainty_score":0.4095164},"labels":[],"label_agreement":null},{"id":"W2044266566","doi":"10.7202/050057ar","title":"Logit Analysis of Employee Turnover in a Remote Community","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Logit; Turnover; Test (biology); Logistic regression; Econometrics; Business; Demographic economics; Statistics; Economics; Mathematics; Management","score_opus":0.05325987364834667,"score_gpt":0.25768468381062837,"score_spread":0.2044248101622817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044266566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720126,0.00026744293,0.00260761,0.0005057784,0.000038128543,0.000081948805,0.00025388532,0.000014972993,0.024217669],"genre_scores_gemma":[0.9982675,0.00007148087,0.0007200236,0.00005646728,0.000020249585,0.0000018833141,0.00005942223,0.000008290351,0.0007946943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888635,0.00007000153,0.00071245077,0.00015031689,0.000034472232,0.00014642763],"domain_scores_gemma":[0.99895585,0.00024456048,0.0002809641,0.00044484792,0.000038070764,0.000035716566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00098328,0.000090637164,0.00035747903,0.00065955485,0.00008029076,0.00001884223,0.00019054579,0.00020115811,0.0004188034],"category_scores_gemma":[0.00031323594,0.00010491285,0.00012315119,0.0018412366,0.00005447286,0.00014307004,0.000045186498,0.00046936612,0.000042317657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006992935,0.00011762992,0.87122,0.0000013855844,0.00022395825,5.4458013e-7,0.000956937,0.013659469,0.0000024130275,0.11107717,0.00009683395,0.0026366839],"study_design_scores_gemma":[0.0004060034,0.000020470852,0.92509687,0.000013142724,0.00006593059,3.17018e-7,0.00018182797,0.03565559,0.0000116965175,0.026144184,0.012214225,0.00018972668],"about_ca_topic_score_codex":0.0031226294,"about_ca_topic_score_gemma":0.0025911771,"teacher_disagreement_score":0.08493298,"about_ca_system_score_codex":0.00012578964,"about_ca_system_score_gemma":0.000023234685,"threshold_uncertainty_score":0.47205022},"labels":[],"label_agreement":null},{"id":"W2044482334","doi":"10.1006/redy.2002.0176","title":"Procyclical Skill Retooling and Equilibrium Search","year":2002,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Unemployment; Boom; Recession; General equilibrium theory; Aggregate (composite); Business cycle; Set (abstract data type); Labour economics; Macroeconomics; Monetary economics; Keynesian economics","score_opus":0.03681593201707255,"score_gpt":0.26079970552131515,"score_spread":0.2239837735042426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044482334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7595944,0.14844353,0.0011166591,0.0035704244,0.00055240927,0.0008590305,0.00093874714,0.000065582804,0.084859245],"genre_scores_gemma":[0.85413814,0.14321457,0.0010514858,0.0005668037,0.00009714591,0.000017210137,0.000060714407,0.000032304233,0.00082164526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790937,0.00003557965,0.001211908,0.00048219578,0.000034811215,0.0003261637],"domain_scores_gemma":[0.998777,0.00011277485,0.0004400241,0.00050971226,0.00003367879,0.00012683836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013130525,0.00019457572,0.0008358503,0.00011346187,0.000041998723,0.000043456726,0.0002846106,0.0001060381,0.00064860255],"category_scores_gemma":[0.00018309077,0.00021815812,0.00017291777,0.00012334686,0.00011297546,0.00023251353,0.00016567815,0.00018974936,0.000122943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059032513,0.00008353775,0.02542242,0.004775313,0.00007131317,0.0000029751354,0.00007805349,0.000046415265,0.0000021572005,0.96013033,0.0002917393,0.00908983],"study_design_scores_gemma":[0.0010210519,0.0001623252,0.0069260974,0.0027449573,0.000048887796,0.00004915243,0.000040365758,0.8663475,0.000008989043,0.098122604,0.023439707,0.0010883961],"about_ca_topic_score_codex":0.00007694803,"about_ca_topic_score_gemma":0.000017270724,"teacher_disagreement_score":0.86630106,"about_ca_system_score_codex":0.00022992528,"about_ca_system_score_gemma":0.000015199612,"threshold_uncertainty_score":0.889623},"labels":[],"label_agreement":null},{"id":"W2045151299","doi":"10.1086/209960","title":"Industry‐Specific Capital and the Wage Profile: Evidence from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics","year":2000,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":401,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Seniority; National Longitudinal Surveys; Economics; Human capital; Wage; Panel data; Labour economics; Panel Study of Income Dynamics; Demographic economics; Longitudinal data; Econometrics; Economic growth; Political science","score_opus":0.08190980283852084,"score_gpt":0.25398037809165025,"score_spread":0.1720705752531294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045151299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933087,0.0024675291,0.000017663113,0.0011497819,0.00020998898,0.00033552808,0.0023341256,0.0000019173117,0.00017471924],"genre_scores_gemma":[0.9954611,0.0041931034,0.000053242667,0.000095219104,0.00012372564,0.000004510339,0.000008998771,0.000015630905,0.000044438217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976327,0.00030323662,0.001571703,0.00023594455,0.00009724946,0.00015917864],"domain_scores_gemma":[0.9955342,0.002078857,0.0017304784,0.00031453636,0.0002859089,0.00005604148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007226737,0.00017492485,0.0007496694,0.00007937808,0.00013843834,0.00013626658,0.0005608902,0.00015519912,0.000104340856],"category_scores_gemma":[0.00061630004,0.00010298955,0.00010118465,0.00021786964,0.0005511698,0.00032319594,0.000120427605,0.0006682287,0.0000018199947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011975054,0.00014162659,0.94953734,0.000009088064,0.00030966193,0.000001218929,0.00532456,0.0005045467,3.60739e-7,0.04234147,0.000011397556,0.00062122074],"study_design_scores_gemma":[0.0037439347,0.00012345208,0.9710085,0.000034324858,0.00004051638,0.000009247585,0.0016907647,0.0048722993,0.0000014359924,0.018324994,0.000026646425,0.00012390672],"about_ca_topic_score_codex":0.004151221,"about_ca_topic_score_gemma":0.0015740661,"teacher_disagreement_score":0.024016477,"about_ca_system_score_codex":0.00010447852,"about_ca_system_score_gemma":0.00008786333,"threshold_uncertainty_score":0.6275432},"labels":[],"label_agreement":null},{"id":"W2045508239","doi":"10.1111/j.1467-9914.2006.00354.x","title":"Modes of Entrance by Gender and Wage Differential in the French Labour Market","year":2006,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Differential (mechanical device); Wage; Subsidy; Labour economics; Economics; Demographic economics; Estimation; Engineering; Management","score_opus":0.011578764666602931,"score_gpt":0.19625578205183927,"score_spread":0.18467701738523634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045508239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815675,0.0016681876,0.0010302915,0.0002727857,0.000091789065,0.00012237731,0.0013014595,0.000008722595,0.013936909],"genre_scores_gemma":[0.9979289,0.0002519525,0.00012977964,0.00016329934,0.000057102417,0.000011724147,0.000019928222,0.00001183176,0.0014254737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989608,0.000048585593,0.00044825333,0.00025639276,0.00004985037,0.00023610305],"domain_scores_gemma":[0.9994544,0.000074889824,0.00017573212,0.00025096978,0.000019579575,0.000024453138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509779,0.00012359231,0.00026877498,0.00006348513,0.000043412,0.000057492165,0.00021539984,0.00007903364,0.00034698207],"category_scores_gemma":[0.0000311766,0.00010668145,0.00004712977,0.00018845651,0.000052430456,0.00009431195,0.00003826683,0.00012654072,0.0000043182454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001119384,0.00013297622,0.24976578,0.00005294174,0.000012607471,0.000002864026,0.00018454455,0.000013261571,0.00022571649,0.748771,0.0006450266,0.00018208475],"study_design_scores_gemma":[0.000497483,0.00001215811,0.81402385,0.000005655008,0.0000024353271,9.606921e-7,0.000035229095,0.0015053294,0.000064753054,0.17787716,0.005839261,0.00013574644],"about_ca_topic_score_codex":0.0035323906,"about_ca_topic_score_gemma":0.00028224787,"teacher_disagreement_score":0.5708938,"about_ca_system_score_codex":0.000021050791,"about_ca_system_score_gemma":0.00000669761,"threshold_uncertainty_score":0.53399414},"labels":[],"label_agreement":null},{"id":"W2045561323","doi":"10.1006/jvbe.1999.1714","title":"Change in Job Search Behaviors and Employment Outcomes","year":2000,"lang":"en","type":"article","venue":"Journal of Vocational Behavior","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fonds pour la Formation de Chercheurs et l'Aide à la Recherche","keywords":"Seekers; Psychology; Job attitude; Job analysis; Job satisfaction; Job performance; Graduation (instrument); Job design; Variance (accounting); Social psychology; Applied psychology","score_opus":0.07067447350526014,"score_gpt":0.31832069037395955,"score_spread":0.24764621686869942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045561323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723303,0.00050117425,0.000014734804,0.0013857228,0.00015304994,0.00013526704,0.00008430166,0.0000031931154,0.0004895428],"genre_scores_gemma":[0.9984226,0.00033532854,0.00044557283,0.00020524608,0.000074778654,0.000021653446,0.000005447728,0.000011108458,0.00047823015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988678,0.000022573573,0.00072091306,0.00014028448,0.000093524424,0.00015487538],"domain_scores_gemma":[0.9994914,0.00004415562,0.00019690533,0.000115481635,0.00006523928,0.00008685079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009108228,0.00009342702,0.00028373927,0.00023688769,0.000038112623,0.000043823453,0.00014063554,0.00006001298,0.00095441606],"category_scores_gemma":[0.000024650588,0.000091800866,0.00007857975,0.00014686663,0.00003593419,0.0002747708,0.000020565723,0.0001796396,0.000028593922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014894795,0.00023316506,0.966094,0.0000038516246,0.000008159491,0.000018297937,0.00027841242,0.0000039528436,0.000008923509,0.014296402,0.000009833715,0.019030105],"study_design_scores_gemma":[0.0005324189,0.00006786121,0.99616706,0.000011919779,0.000008885066,0.000021234437,0.000020621555,0.000031159503,0.000004864656,0.0022118527,0.0008192121,0.000102902246],"about_ca_topic_score_codex":0.0004981175,"about_ca_topic_score_gemma":0.00008728981,"teacher_disagreement_score":0.030073067,"about_ca_system_score_codex":0.00011482219,"about_ca_system_score_gemma":0.000027024658,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W2046164625","doi":"10.1006/jjie.2000.0450","title":"Career Concerns and the Acquisition of Firm-Specific Skills","year":2000,"lang":"en","type":"article","venue":"Journal of the Japanese and International Economies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal","funders":"","keywords":"Incentive; Human capital; Subsidy; Wage; Context (archaeology); Schedule; Margin (machine learning); Process (computing); Labour economics; Economics; Training (meteorology); Marketing; Business; Management; Microeconomics; Computer science; Economic growth; Market economy","score_opus":0.019040970373365003,"score_gpt":0.22502183193753417,"score_spread":0.20598086156416917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046164625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98285335,0.002457107,0.000008592895,0.0044680685,0.0005001885,0.000057317968,0.00009933503,0.0000013595453,0.009554683],"genre_scores_gemma":[0.99344164,0.003990085,0.000030259269,0.0003609253,0.00024903027,0.0000014911193,0.0000014388313,0.0000053830013,0.001919721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991943,0.000027806685,0.00058196654,0.00009086343,0.000035205165,0.000069813126],"domain_scores_gemma":[0.9991074,0.00015097395,0.00052488415,0.00012175105,0.00006817799,0.000026795742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075969665,0.00007384503,0.00025776261,0.00005494067,0.00006110723,0.000071081144,0.00025461533,0.000038667557,0.0007141173],"category_scores_gemma":[0.00004715246,0.000046002377,0.00011886154,0.000036326768,0.00020169327,0.00024237735,0.000049494298,0.000101701524,0.000005091661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009187827,0.00017463944,0.19350089,0.000042461957,0.0008372395,0.0000032044634,0.008689769,0.0008539543,0.000034462806,0.7822927,0.0028740857,0.009777768],"study_design_scores_gemma":[0.0054910327,0.00013000079,0.5117848,0.000109170636,0.00004157995,0.00014773184,0.00097589113,0.0033508816,0.000074797485,0.38117817,0.09640608,0.00030988196],"about_ca_topic_score_codex":0.00010470048,"about_ca_topic_score_gemma":0.00001253998,"teacher_disagreement_score":0.40111458,"about_ca_system_score_codex":0.000038423317,"about_ca_system_score_gemma":0.000008556234,"threshold_uncertainty_score":0.7819084},"labels":[],"label_agreement":null},{"id":"W2047647434","doi":"10.3386/w8787","title":"Changes in U.S. Wages 1976-2000: Ongoing Skill Bias or Major Technological Change?","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Technological change; Economics; Labour economics; Demographic economics; Macroeconomics","score_opus":0.5427064229907894,"score_gpt":0.46502550478757554,"score_spread":0.07768091820321388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047647434","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081206225,0.011240157,0.000011234522,0.00803979,0.0015540685,0.0024144477,0.0042227404,0.000111182846,0.8912002],"genre_scores_gemma":[0.9439831,0.030045042,0.00031640969,0.00010252614,0.0011928508,0.0005986802,0.00052838324,0.00010783534,0.023125203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952295,0.00016839994,0.0018481407,0.0012498078,0.0005861004,0.0009180798],"domain_scores_gemma":[0.995994,0.0014251963,0.0010655056,0.000688325,0.00068270613,0.00014430626],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015093874,0.0004322786,0.0014324711,0.0033750576,0.00014375837,0.00014547877,0.0010918884,0.0011924958,0.0038209432],"category_scores_gemma":[0.00541614,0.00043046547,0.000253937,0.00086907245,0.00043420208,0.0002527889,0.0005062386,0.001476326,0.00049889134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012168125,0.00056713994,0.055839345,0.0008189556,0.00028926742,0.00009277713,0.00027001332,0.000044452525,0.000005522435,0.92035973,0.009606268,0.011984853],"study_design_scores_gemma":[0.001395676,0.0003350773,0.022250867,0.00054749305,0.000011462005,0.000049175247,0.000114699425,0.002035447,0.000045904795,0.7916536,0.18043663,0.0011240225],"about_ca_topic_score_codex":0.0058223433,"about_ca_topic_score_gemma":0.007854826,"teacher_disagreement_score":0.86807495,"about_ca_system_score_codex":0.004271554,"about_ca_system_score_gemma":0.00093379745,"threshold_uncertainty_score":0.9998147},"labels":[],"label_agreement":null},{"id":"W2047811118","doi":"10.4236/tel.2012.21005","title":"Social Protection in a Matching Model: The Case of Basic Income","year":2012,"lang":"en","type":"article","venue":"Theoretical Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Basic income; Inefficiency; Economics; Redistribution (election); Matching (statistics); Social protection; Poverty; Redistribution of income and wealth; Balance (ability); Labour economics; Social insurance; Public economics; Microeconomics; Market economy; Economic growth","score_opus":0.02164515530736711,"score_gpt":0.23110515996603695,"score_spread":0.20946000465866985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047811118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783426,0.000035213718,0.013059492,0.0051735314,0.00015324217,0.00022974271,0.00007297029,0.000013937694,0.0029193016],"genre_scores_gemma":[0.99863535,0.000012687001,0.00023224027,0.000926744,0.00012628455,0.000032855824,0.0000028769985,0.000025009052,0.000005936726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987015,0.00006265735,0.0006601941,0.00021000353,0.000013995476,0.00035165003],"domain_scores_gemma":[0.99932325,0.00009744074,0.0002614518,0.00025322847,0.000008767974,0.000055851066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002163253,0.00013432851,0.00033348065,0.00012380832,0.00009387749,0.000035817102,0.00019102375,0.00009171132,0.000080505066],"category_scores_gemma":[0.000066215136,0.00012578125,0.00012010443,0.000121115,0.00030129912,0.00021294884,0.00009244119,0.00025895442,0.000025208594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034032237,0.00004949134,0.002514099,0.000021874917,0.000018118124,0.0000040481254,0.0011574596,0.0014129138,0.000031709318,0.99433005,0.000003022467,0.00042316937],"study_design_scores_gemma":[0.0003491419,0.000010591588,0.0031132053,0.000005933823,0.0000055952096,0.000030349045,0.00009606904,0.06461003,0.000027622686,0.93152845,0.000030788746,0.00019221932],"about_ca_topic_score_codex":0.00039491552,"about_ca_topic_score_gemma":0.000060893013,"teacher_disagreement_score":0.06319711,"about_ca_system_score_codex":0.0001657279,"about_ca_system_score_gemma":0.00000946472,"threshold_uncertainty_score":0.51292104},"labels":[],"label_agreement":null},{"id":"W2047889725","doi":"10.1080/02692171.2014.907245","title":"Occupational skill attainment in Canada: the role of gender, nativity status and ethnic origin","year":2014,"lang":"en","type":"article","venue":"International Review of Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Multinomial logistic regression; Ethnic group; Foreign born; Occupational segregation; Census; Educational attainment; Occupational prestige; Immigration; Demographic economics; Human capital; Demography; Country of origin; Geography; Sociology; Socioeconomic status; Political science; Economics; Labour economics; Wage; Population; Economic growth; Statistics","score_opus":0.02441023650225613,"score_gpt":0.25607014479662044,"score_spread":0.2316599082943643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047889725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621193,0.0063935514,0.00017488119,0.00031971163,0.00018548667,0.0002351348,0.00046896344,0.0000020903926,0.030100899],"genre_scores_gemma":[0.97349006,0.02556896,0.00023711706,0.00058910105,0.000029546385,0.000026088112,0.000042241423,0.000008186954,0.000008689371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987206,0.000017270911,0.0008508866,0.00022227227,0.00005192922,0.0001370254],"domain_scores_gemma":[0.9988555,0.00021649932,0.000638631,0.00020672679,0.000043325792,0.000039325376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011824896,0.0001040337,0.00038003916,0.00006406125,0.000016810998,0.000008235535,0.0002396571,0.000029908697,0.0001241178],"category_scores_gemma":[0.00012475837,0.00009893204,0.00005099072,0.000074194715,0.000045870762,0.000059776423,0.000086474945,0.000096801334,0.000004074586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014231773,0.000026500924,0.08628565,0.00017088294,0.00003816791,3.9494658e-8,0.000047961417,0.0003745978,0.0000014611496,0.9020621,0.000013812981,0.010964558],"study_design_scores_gemma":[0.00048285062,0.000012285314,0.5013336,0.00013490576,0.0000072921025,6.9525765e-7,0.0000647936,0.009690029,0.000044985325,0.43449453,0.053529218,0.0002048479],"about_ca_topic_score_codex":0.08312792,"about_ca_topic_score_gemma":0.09359526,"teacher_disagreement_score":0.46756762,"about_ca_system_score_codex":0.00047030236,"about_ca_system_score_gemma":0.00021413763,"threshold_uncertainty_score":0.9229776},"labels":[],"label_agreement":null},{"id":"W2047951778","doi":"10.2202/1935-1682.2378","title":"Long-Run Earnings Inequality and Earnings Instability among Canadian Men Revisited, 1985-2005","year":2010,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Economics; Variance (accounting); Recession; Pace; Demographic economics; Inequality; Sample (material); Econometrics; Contrast (vision); Great recession; Labour economics; Macroeconomics; Mathematics; Geography; Accounting","score_opus":0.012438860897805708,"score_gpt":0.24243772802872415,"score_spread":0.22999886713091844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047951778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871862,0.0002261079,0.00023778455,0.003629306,0.00013468078,0.00012648162,0.00021012462,0.000009873338,0.008239423],"genre_scores_gemma":[0.997778,0.00048973784,0.000107690146,0.000479424,0.00045792566,0.0000023968255,0.000017239156,0.00002297113,0.00064459787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970968,0.00018335234,0.0017557384,0.00035437598,0.0000657252,0.000544014],"domain_scores_gemma":[0.99614155,0.00026812495,0.0021868197,0.00073033,0.00011469112,0.00055850367],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008594664,0.00026945941,0.0010619067,0.0011858266,0.00030356346,0.00019533464,0.0006964925,0.0001896222,0.0009822751],"category_scores_gemma":[0.0008511988,0.00023459089,0.00045636616,0.000627647,0.0003270727,0.0005072127,0.00012685766,0.00087268255,0.00006110565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028240005,0.000023930845,0.96032727,0.000011144783,0.00074712205,0.0000029719993,0.00070239126,0.00051334995,0.00001281606,0.03723148,0.00014139788,0.00025791864],"study_design_scores_gemma":[0.00037899037,0.000034196462,0.9709737,0.0000064872384,0.0002594495,0.000015873498,0.000111506226,0.0045665824,0.000004889265,0.013112317,0.010258018,0.00027804778],"about_ca_topic_score_codex":0.31058747,"about_ca_topic_score_gemma":0.21443322,"teacher_disagreement_score":0.09615426,"about_ca_system_score_codex":0.0005042529,"about_ca_system_score_gemma":0.00034944332,"threshold_uncertainty_score":0.999931},"labels":[],"label_agreement":null},{"id":"W2047990921","doi":"10.2202/1935-1690.1690","title":"Cyclical Behavior of Unemployment and Job Vacancies: A Comparison between Canada and the United States","year":2008,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business cycle; Economics; Unemployment; Matching (statistics); Productivity; Value (mathematics); Labour economics; Work (physics); Macroeconomics","score_opus":0.031695328617633405,"score_gpt":0.24026530906641133,"score_spread":0.20856998044877792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047990921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958845,0.0011412868,0.00017081398,0.0021902914,0.00012735405,0.00013620958,0.0002398659,0.0000020136133,0.00010770659],"genre_scores_gemma":[0.99595416,0.0034916191,0.00010215336,0.00032547794,0.00006304245,0.0000022800114,0.000005111683,0.000012114884,0.000044068125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985107,0.00007107738,0.0011013247,0.00010245501,0.000045599212,0.00016881779],"domain_scores_gemma":[0.9980102,0.0005840104,0.0010490447,0.00020411174,0.00006358036,0.000089013265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016337717,0.000121834586,0.0005894349,0.00008068929,0.00013904399,0.000025109563,0.0002855794,0.00004382487,0.000015860616],"category_scores_gemma":[0.00007478307,0.00008186226,0.000062039246,0.000091867696,0.000366919,0.000068574125,0.00009982619,0.00024234926,6.1923356e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001724325,0.00003185665,0.9798778,0.00001657729,0.00015092909,0.0000034864036,0.0012320055,0.00044422853,0.0000017194535,0.017327743,0.00036933678,0.00037183828],"study_design_scores_gemma":[0.0031871141,0.0001665795,0.9522832,0.000019889561,0.00012132463,0.000118157725,0.0007884544,0.005058811,0.00005060877,0.022086792,0.015858185,0.00026085152],"about_ca_topic_score_codex":0.1676068,"about_ca_topic_score_gemma":0.035278805,"teacher_disagreement_score":0.13232799,"about_ca_system_score_codex":0.00011725865,"about_ca_system_score_gemma":0.00009451793,"threshold_uncertainty_score":0.98232484},"labels":[],"label_agreement":null},{"id":"W2049353094","doi":"10.1016/s0165-1889(03)00079-4","title":"A dynamic model of job networking and social influences on employment","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interpersonal ties; Unemployment; Social capital; Labour economics; Productivity; Isolation (microbiology); Human capital; Economics; Demographic economics; Microeconomics; Social psychology; Sociology; Psychology; Market economy; Social science","score_opus":0.01804056247799968,"score_gpt":0.23001202259526732,"score_spread":0.21197146011726764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049353094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877156,0.0009463129,0.0067328447,0.00055908744,0.000380459,0.000105908264,0.0001876347,0.00000367384,0.002312546],"genre_scores_gemma":[0.998597,0.0006362962,0.00035106446,0.00022799533,0.00006425313,0.000002846524,0.0000014922705,0.000018248189,0.00010079298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837863,0.000036017813,0.0011030717,0.00021856936,0.000039375034,0.00022434669],"domain_scores_gemma":[0.99844825,0.000112324116,0.0011936859,0.00012304113,0.00004116222,0.00008155388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292165,0.00017224491,0.00070076546,0.0001910353,0.00009515351,0.00007758638,0.00013883901,0.000104166415,0.000012141236],"category_scores_gemma":[0.000033504908,0.00017464878,0.00014739789,0.00004170003,0.000093649425,0.0001544018,0.000024088482,0.00019084595,0.0000015066641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011781117,0.000057756573,0.076687515,0.00002689122,0.00020886304,0.0000025958013,0.00018225494,0.009005786,0.000026099002,0.91180474,0.000008326993,0.0018713892],"study_design_scores_gemma":[0.0020885277,0.0002128329,0.014647923,0.00002649355,0.000033291035,0.000013633656,0.0000858011,0.74339384,0.0000011151668,0.23898758,0.00028291836,0.00022605824],"about_ca_topic_score_codex":0.00003466266,"about_ca_topic_score_gemma":0.000084407846,"teacher_disagreement_score":0.73438805,"about_ca_system_score_codex":0.000183706,"about_ca_system_score_gemma":0.000055231103,"threshold_uncertainty_score":0.71219707},"labels":[],"label_agreement":null},{"id":"W2054508361","doi":"10.7202/050365ar","title":"Effet du salaire minimum sur l'emploi: résultats des études économétriques canadiennes et québécoises","year":2005,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03184450551766037,"score_gpt":0.23051517935057775,"score_spread":0.19867067383291737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054508361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91128,0.021051567,0.0008881668,0.035813354,0.0010750107,0.00042087416,0.0020696516,0.00010999281,0.027291408],"genre_scores_gemma":[0.95934796,0.009165827,0.0022758516,0.000597271,0.00071882084,0.000049221697,0.00019066157,0.00008659746,0.027567806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967239,0.00018784382,0.001442154,0.0007641276,0.0000832769,0.0007986996],"domain_scores_gemma":[0.99704474,0.001097719,0.0006760647,0.00060763536,0.00026113066,0.0003126852],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013140815,0.0004947248,0.00073403784,0.00045456522,0.0005819408,0.00030740845,0.00043662498,0.0008159507,0.0010837463],"category_scores_gemma":[0.0016805041,0.00062971626,0.00027146493,0.0008351635,0.00045982728,0.0011751739,0.00015088315,0.00075955474,0.00039226856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026513448,0.00042781254,0.4214286,0.0000335363,0.00028094993,0.00001917823,0.0029968675,0.0052726557,0.0000031736408,0.5156233,0.009276862,0.04461055],"study_design_scores_gemma":[0.0009677028,0.00013992206,0.15446909,0.00029396728,0.00007999279,0.000025543377,0.0008691713,0.015132069,0.000026743053,0.01734568,0.80970377,0.0009463433],"about_ca_topic_score_codex":0.055974945,"about_ca_topic_score_gemma":0.20210616,"teacher_disagreement_score":0.8004269,"about_ca_system_score_codex":0.00097612175,"about_ca_system_score_gemma":0.0005976107,"threshold_uncertainty_score":0.9998294},"labels":[],"label_agreement":null},{"id":"W2056933949","doi":"10.1628/093245608785363416","title":"Self-Promoting Investments","year":2008,"lang":"en","type":"preprint","venue":"Journal of Institutional and Theoretical Economics JITE","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Andrew W. Mellon Foundation","keywords":"Seniority; Stylized fact; Inefficiency; Wage; Economics; Efficiency wage; Labour economics; Investment (military); Human capital; Microeconomics; Bond; Profit (economics); Finance; Market economy","score_opus":0.018237720724712147,"score_gpt":0.21618340474532383,"score_spread":0.1979456840206117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056933949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708387,0.0020650385,0.0014784893,0.0018161162,0.0015817509,0.00015390797,0.00043237515,0.00001621981,0.021617364],"genre_scores_gemma":[0.97934604,0.012798788,0.006601937,0.00061921705,0.00054987497,0.000004646754,0.000026316722,0.000023882048,0.000029275598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977471,0.0000425857,0.0014847752,0.00039717514,0.00005804301,0.00027027458],"domain_scores_gemma":[0.9977442,0.000119934084,0.0014744917,0.0002540316,0.00013518147,0.0002721456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014835859,0.00029505297,0.00087060983,0.00027745927,0.0001662367,0.00015243849,0.00038438302,0.0003391081,0.00007723314],"category_scores_gemma":[0.00029390963,0.0002927285,0.00032967704,0.00006417715,0.00061411125,0.00024379691,0.00046445112,0.0008246988,0.000027995422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042379048,0.00014499314,0.003511319,0.00011197421,0.00027088908,0.000039670344,0.00019113453,0.00043274116,7.8960977e-7,0.99476576,0.000021505934,0.00046686758],"study_design_scores_gemma":[0.0006405163,0.00006715331,0.0035436067,0.00009520649,0.000025799529,0.00024371056,0.0000061972214,0.014901742,0.0000068105182,0.9671159,0.013027519,0.0003258352],"about_ca_topic_score_codex":0.000010949762,"about_ca_topic_score_gemma":9.929305e-7,"teacher_disagreement_score":0.027649835,"about_ca_system_score_codex":0.00029974466,"about_ca_system_score_gemma":0.0002640702,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W2057455293","doi":"10.1016/j.jdeveco.2008.02.006","title":"Economic transition and gender differentials in wages and productivity: Evidence from Chinese manufacturing enterprises","year":2008,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Productivity; Wage; Labour economics; Economics; Manufacturing sector; State (computer science); Demographic economics; Economic growth","score_opus":0.03755242955963868,"score_gpt":0.22987980805491798,"score_spread":0.1923273784952793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057455293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968055,0.0014449394,0.00080487574,0.00036210523,0.00035221453,0.00010586775,0.000039650644,0.000004911333,0.00007996881],"genre_scores_gemma":[0.990057,0.007557857,0.002164425,0.00005584332,0.00012128128,0.0000035271482,0.000004422302,0.000015874844,0.00001975476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839866,0.000028759912,0.0010593247,0.0003127853,0.000023385655,0.0001770596],"domain_scores_gemma":[0.999003,0.00013286684,0.00063080114,0.00012892154,0.0000143377165,0.00009005295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077575963,0.00017916274,0.00056161307,0.00026188168,0.00007863321,0.00007535638,0.00012595905,0.00007346524,0.000050662173],"category_scores_gemma":[0.00005470369,0.00018285052,0.000056890047,0.000027398273,0.00005261294,0.00074810826,0.00006448896,0.00015943903,0.0000051400275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099614736,0.00006874006,0.9920945,0.000047002526,0.00012498627,0.000017795175,0.004477118,0.00030168812,0.00005006037,0.0005576981,0.000005843455,0.0021549296],"study_design_scores_gemma":[0.00065610034,0.000024479954,0.9704469,0.00004366777,0.000005964597,0.000052144245,0.000044783363,0.0003653178,0.00036169877,0.027548533,0.00022352242,0.00022687901],"about_ca_topic_score_codex":0.00009126594,"about_ca_topic_score_gemma":0.00015320111,"teacher_disagreement_score":0.026990835,"about_ca_system_score_codex":0.00022650312,"about_ca_system_score_gemma":0.000071381524,"threshold_uncertainty_score":0.7456428},"labels":[],"label_agreement":null},{"id":"W2058345546","doi":"10.1016/s0165-1765(02)00122-2","title":"Labor–market search and real business cycles: Nash bargaining vs. fair wage","year":2002,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Wage bargaining; Bargaining problem; Wage; Efficiency wage; Business cycle; Replicate; Microeconomics; Labour economics; Macroeconomics","score_opus":0.024674825374644348,"score_gpt":0.20438782140373246,"score_spread":0.1797129960290881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058345546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511061,0.0003365403,0.00032302877,0.0077705667,0.00045244882,0.000191697,0.00046451174,0.00007489667,0.039280243],"genre_scores_gemma":[0.9902002,0.0034000676,0.0008425302,0.004346802,0.00028453162,0.000018307961,0.00003237345,0.00007168172,0.0008034627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771935,0.000047901194,0.0008112086,0.0007803415,0.000035503,0.00060569344],"domain_scores_gemma":[0.9988055,0.00015408175,0.00024826804,0.0005653968,0.00003898836,0.00018774123],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011239494,0.00030317123,0.0005937318,0.00027510486,0.00020947962,0.00031093755,0.0003656994,0.00015265576,0.00085528934],"category_scores_gemma":[0.00008950364,0.0003839709,0.00010290974,0.00026509672,0.00015759729,0.00049637817,0.00019680554,0.00026947274,0.00024562693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008247829,0.00015528263,0.59407616,0.00011233028,0.0002505702,0.00005278485,0.0018584185,0.0009334737,0.00012476601,0.38995025,0.005879999,0.0065234657],"study_design_scores_gemma":[0.002956315,0.00008216529,0.82628673,0.000055370463,0.000022846769,0.000028034618,0.00027305432,0.10294037,0.000038375973,0.02343336,0.041937713,0.0019456517],"about_ca_topic_score_codex":0.0009844615,"about_ca_topic_score_gemma":0.00012355372,"teacher_disagreement_score":0.3665169,"about_ca_system_score_codex":0.00021829647,"about_ca_system_score_gemma":0.000014248913,"threshold_uncertainty_score":0.99986124},"labels":[],"label_agreement":null},{"id":"W2060178052","doi":"10.1080/13504851.2012.676730","title":"Education–job match among recent Canadian university graduates","year":2012,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Affect (linguistics); Disadvantaged; Graduation (instrument); Human capital; Investment (military); Demographic economics; Higher education; Psychology; Immigration; Labour economics; Medical education; Sociology; Political science; Economics; Economic growth; Medicine; Mathematics","score_opus":0.014628023691947847,"score_gpt":0.17702376006918774,"score_spread":0.1623957363772399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060178052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90336573,0.00010363264,0.00017993049,0.0059575294,0.000950944,0.00022107366,0.00019475908,0.000034471093,0.088991955],"genre_scores_gemma":[0.99331284,0.00040540416,0.00070715393,0.0047244006,0.00024072661,0.000011583273,0.00009885493,0.000035755693,0.00046330426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985933,0.000012588843,0.00040060957,0.00037364883,0.00001593686,0.00060395297],"domain_scores_gemma":[0.9988491,0.000036467456,0.00024520452,0.0004351759,0.000016755379,0.0004173134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005651363,0.00019472299,0.00030217262,0.00027942733,0.00019225825,0.00008150111,0.00032422377,0.00011076344,0.00041420961],"category_scores_gemma":[0.0000139864,0.00027481106,0.00008160842,0.00018364705,0.000080499995,0.0003395995,0.00005907937,0.00016865163,0.00072297413],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006033135,0.00003951631,0.30968767,0.000008046642,0.000045239867,3.6992623e-7,0.00022377225,0.00007476831,0.000008347981,0.6857069,0.0029468588,0.0012524677],"study_design_scores_gemma":[0.0004104806,0.000005551926,0.5263346,0.000004590697,0.000014152473,0.0000023002087,0.00031235404,0.00014760504,0.000031859076,0.036410283,0.43559647,0.0007297614],"about_ca_topic_score_codex":0.043937925,"about_ca_topic_score_gemma":0.017319076,"teacher_disagreement_score":0.64929664,"about_ca_system_score_codex":0.0009100149,"about_ca_system_score_gemma":0.00011064448,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W2061944853","doi":"10.2478/v10135-012-0014-6","title":"Job Differentiation vs. Unemployment","year":2013,"lang":"en","type":"article","venue":"Review of Economic Perspectives","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Comparative statics; Economics; Unemployment; Labour economics; Matching (statistics); Incentive; Productivity; Wage; Unemployment rate; Minimum wage; Microeconomics; Macroeconomics","score_opus":0.021311639979616447,"score_gpt":0.251335051763907,"score_spread":0.2300234117842906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061944853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79117984,0.14069188,0.00054219516,0.004775699,0.0004412473,0.0008848892,0.00022068412,0.000043880777,0.061219715],"genre_scores_gemma":[0.91035956,0.088397294,0.00026610456,0.00030101772,0.000079764344,0.000068718306,0.000014881416,0.000017720979,0.00049495674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99855584,0.000030460416,0.0008349407,0.00036712812,0.000023203214,0.0001884442],"domain_scores_gemma":[0.99887466,0.000048035337,0.0005599804,0.00040014263,0.000053409196,0.00006378014],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005059414,0.00015192683,0.0006329879,0.00009781105,0.000038441245,0.00003596074,0.00022016976,0.00004705279,0.0045180386],"category_scores_gemma":[0.00010612318,0.00015673699,0.00021872659,0.000076917095,0.000056637073,0.00027600455,0.000060671613,0.000078053454,0.00081345113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032050007,0.00007548653,0.03887129,0.0009208396,0.000094364696,1.6098794e-7,0.00021816934,0.0000049203336,0.0000102993135,0.9575184,0.0011858409,0.0010970121],"study_design_scores_gemma":[0.0009812324,0.00018060172,0.50877815,0.0018299617,0.00004565902,0.000003936448,0.00041409043,0.0031512405,0.000055805263,0.45962688,0.023991851,0.0009405511],"about_ca_topic_score_codex":0.000504091,"about_ca_topic_score_gemma":0.000013813681,"teacher_disagreement_score":0.49789152,"about_ca_system_score_codex":0.00028055592,"about_ca_system_score_gemma":0.000022007487,"threshold_uncertainty_score":0.99996454},"labels":[],"label_agreement":null},{"id":"W2062194182","doi":"10.1111/j.1468-232x.2009.00581.x","title":"Employers’ Online Search: An Empirical Analysis","year":2009,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Job analysis; Process (computing); Business; Computer science; Psychology; Job satisfaction; Social psychology","score_opus":0.13186073845131852,"score_gpt":0.31651959510989275,"score_spread":0.18465885665857423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062194182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852818,0.0002962735,0.007758735,0.0033881245,0.00012999882,0.00007490468,0.00013785406,0.000008418943,0.0029238586],"genre_scores_gemma":[0.9960106,0.00016536108,0.0026460248,0.0005916293,0.00040039502,5.180606e-7,0.00002675548,0.000006460546,0.00015226821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998504,0.00005650244,0.001001403,0.0002075736,0.000040460076,0.00019008234],"domain_scores_gemma":[0.9989001,0.00012799006,0.0004684454,0.00018497856,0.00011069522,0.00020776084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017151837,0.0001180714,0.00050417223,0.00021989747,0.00017222708,0.00013119992,0.0001636537,0.00025042018,0.00024279483],"category_scores_gemma":[0.00014351238,0.00012048395,0.00044197013,0.0005510518,0.000064395426,0.00058776286,0.00002110721,0.00054458645,0.0000054859024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007274282,0.00064799294,0.7434717,0.0000034377904,0.001605953,0.000008378525,0.0032392053,0.004521248,0.0000035174771,0.23866336,0.0012451247,0.0065173456],"study_design_scores_gemma":[0.0044554533,0.0011346046,0.6640216,0.000024357832,0.00051037106,0.000031105024,0.0019191264,0.061133005,0.000005138578,0.21962456,0.046427384,0.00071328226],"about_ca_topic_score_codex":0.000049634324,"about_ca_topic_score_gemma":0.000014311758,"teacher_disagreement_score":0.07945009,"about_ca_system_score_codex":0.00008923202,"about_ca_system_score_gemma":0.000094092306,"threshold_uncertainty_score":0.49131927},"labels":[],"label_agreement":null},{"id":"W2062897710","doi":"10.2139/ssrn.1374919","title":"Demand for Skills in Canada: The Role of Foreign Outsourcing and Information-Communication Technology","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Outsourcing; Business; Industrial organization; Information technology; Knowledge management; Knowledge process outsourcing; Marketing; Computer science","score_opus":0.0034466316936993674,"score_gpt":0.17932467792134857,"score_spread":0.1758780462276492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062897710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743487,0.009034132,0.011352947,0.0030085887,0.000020868652,0.00017837883,0.000031472624,0.000003569441,0.0020213397],"genre_scores_gemma":[0.9961276,0.003485657,0.0002488545,0.00008411528,0.000017420227,0.000009429105,0.0000032990188,0.0000046547666,0.000018984054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989724,0.000012325617,0.0004651799,0.000059203543,0.000023385443,0.00046751118],"domain_scores_gemma":[0.99938637,0.00007168765,0.00034227967,0.00014367938,0.00004008018,0.000015903312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766775,0.000056916746,0.00015298362,0.00013332613,0.00008400496,0.000019627882,0.00019786703,0.000042245527,0.0000037228638],"category_scores_gemma":[0.00012743354,0.000049455077,0.000025540026,0.00013405908,0.00002305891,0.00028478345,0.000030363835,0.00037969762,6.640489e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006421996,0.0000077795075,0.08707312,0.0000028105474,0.000019351644,1.4618586e-8,0.00014375501,0.0003627284,0.0000012319185,0.8913246,0.0000017477574,0.021056445],"study_design_scores_gemma":[0.00040616014,0.000024663525,0.01325397,0.0000070969973,0.0000030070032,0.000013422971,0.0019618974,0.008398955,0.00001969673,0.9710732,0.004771279,0.000066643435],"about_ca_topic_score_codex":0.04625827,"about_ca_topic_score_gemma":0.5215144,"teacher_disagreement_score":0.47525615,"about_ca_system_score_codex":0.00073790055,"about_ca_system_score_gemma":0.0005869102,"threshold_uncertainty_score":0.9600928},"labels":[],"label_agreement":null},{"id":"W2063918570","doi":"10.1177/0022185608099667","title":"On-the-Job Training in Canada: Associations with Information Technology, Innovation and Competition","year":2009,"lang":"en","type":"article","venue":"Journal of Industrial Relations","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; McMaster University","funders":"","keywords":"Prosperity; Competition (biology); Training (meteorology); Business; Information technology; Job satisfaction; Marketing; Economic growth; Political science; Management; Economics; Geography","score_opus":0.0405454710631496,"score_gpt":0.2173065758396397,"score_spread":0.1767611047764901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063918570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96324414,0.000013730399,0.0019063074,0.030711588,0.00012673218,0.000099616555,0.00006424922,0.0000032870994,0.0038303656],"genre_scores_gemma":[0.9993534,0.0000076658625,0.00016945408,0.00040250545,0.00004124233,0.00000154711,0.000009955356,0.00000211794,0.000012090015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909896,0.00001755867,0.00069441705,0.00004618215,0.00005762098,0.00008527024],"domain_scores_gemma":[0.9988264,0.00016039955,0.0008073506,0.00006190418,0.00012534444,0.000018602364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008659833,0.00005303508,0.00015510841,0.0004604715,0.00009322117,0.000039393268,0.00006399335,0.00008658888,0.000017678116],"category_scores_gemma":[0.0012347652,0.000044157863,0.000013478495,0.00091888284,0.000016560052,0.00036142135,0.00000465319,0.00040387354,0.0000014025906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012693462,0.000008496104,0.061344657,2.69639e-7,0.000011447282,8.218484e-7,0.00013464097,0.00085003127,9.2968986e-7,0.9355819,0.00021892627,0.0018351428],"study_design_scores_gemma":[0.001476697,0.00019946342,0.22552314,0.00007930753,0.000008071313,0.0000109943185,0.00079274323,0.0011146283,0.000004361146,0.76802856,0.0026301634,0.00013186774],"about_ca_topic_score_codex":0.009021801,"about_ca_topic_score_gemma":0.031216241,"teacher_disagreement_score":0.16755338,"about_ca_system_score_codex":0.00047637094,"about_ca_system_score_gemma":0.00037706408,"threshold_uncertainty_score":0.9975772},"labels":[],"label_agreement":null},{"id":"W2064886069","doi":"10.1111/j.1468-2354.2008.00473.x","title":"RISING OCCUPATIONAL AND INDUSTRY MOBILITY IN THE UNITED STATES: 1968–97*","year":2008,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":325,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Occupational mobility; Productivity; Labour economics; Human capital; Economics; Wage; Inequality; Demographic economics; Capital (architecture); Business; Economic growth; Accounting","score_opus":0.07446086903231744,"score_gpt":0.30118233481850565,"score_spread":0.2267214657861882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064886069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764146,0.008047338,0.00019427267,0.0049637565,0.00034879884,0.00029159174,0.00039387154,0.0000117116515,0.009334041],"genre_scores_gemma":[0.95224935,0.041571707,0.00014066644,0.0054260707,0.0001038844,0.00004890222,0.00024250483,0.000010501625,0.00020642315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862504,0.00005743167,0.0008191868,0.00031459783,0.000041355168,0.00014237572],"domain_scores_gemma":[0.9991629,0.0001856067,0.00032394964,0.0002553627,0.000032302294,0.000039894552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016130976,0.00012326989,0.0002968399,0.00014118692,0.00006865895,0.000050625145,0.00033478995,0.000081834325,0.0006915455],"category_scores_gemma":[0.0001913427,0.00011164301,0.00007313066,0.0001282576,0.0000836615,0.00021630934,0.00006327325,0.00027773035,0.0001484664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019795587,0.00014218525,0.6223608,0.00017400627,0.000068010624,0.000014047618,0.0003146628,0.0005503269,1.3227321e-7,0.3729463,0.0018020704,0.001607655],"study_design_scores_gemma":[0.0005868627,0.000021281969,0.5237669,0.00028115013,0.000006446989,0.00006261706,0.00004583156,0.014166257,4.7271575e-7,0.082628585,0.37811014,0.0003234969],"about_ca_topic_score_codex":0.0014337789,"about_ca_topic_score_gemma":0.00007583842,"teacher_disagreement_score":0.37630805,"about_ca_system_score_codex":0.00020885817,"about_ca_system_score_gemma":0.000039850034,"threshold_uncertainty_score":0.7571938},"labels":[],"label_agreement":null},{"id":"W2065355398","doi":"10.1080/096452900750046742","title":"The Contribution of Canadian Education to Industrial Production","year":2000,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Economics; Human capital; Labour economics; Production (economics); Demographic economics; Education economics; Capital (architecture); Higher education; Economic growth; Education policy; Geography","score_opus":0.024536662116987993,"score_gpt":0.22404981444458916,"score_spread":0.19951315232760117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065355398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95521456,0.00022991138,0.000016377071,0.011665736,0.0035151555,0.00042387287,0.00007532936,0.000009872086,0.028849207],"genre_scores_gemma":[0.9935704,0.00054136827,0.00013346312,0.0005095367,0.0006367468,0.00007846386,0.00009303238,0.000013010231,0.0044239876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889886,0.000023332464,0.0005959437,0.0002599989,0.000015341395,0.0002065162],"domain_scores_gemma":[0.9990707,0.000033352735,0.00024516214,0.00038165876,0.00011199746,0.00015711706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084261835,0.00009349693,0.00016628536,0.00033614103,0.00020440137,0.00008248686,0.00019496742,0.00009016304,0.00036646836],"category_scores_gemma":[0.00033956688,0.00010162045,0.000050164606,0.00042146153,0.000034480614,0.00019206149,0.000008910097,0.00009382404,0.00028177057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034218483,0.000113024755,0.024117025,0.0000026452162,0.00001890549,1.0840928e-8,0.0002369424,0.0002512717,0.0000033955243,0.8467362,0.0048857955,0.12360058],"study_design_scores_gemma":[0.00011147901,0.00002376027,0.045056235,0.000008668448,0.0000037595762,0.0000013393728,0.000113414535,0.00009039228,0.000071604445,0.09924749,0.8551218,0.0001500434],"about_ca_topic_score_codex":0.056871865,"about_ca_topic_score_gemma":0.0473539,"teacher_disagreement_score":0.850236,"about_ca_system_score_codex":0.00045916505,"about_ca_system_score_gemma":0.0009162309,"threshold_uncertainty_score":0.9700294},"labels":[],"label_agreement":null},{"id":"W2065774654","doi":"10.1093/oep/gpn038","title":"Gender wage differentials, job search, and part-time employment in the UK","year":2008,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Western University","funders":"European Commission","keywords":"Wage; Labour economics; Economics; Work (physics); Efficiency wage; Demographic economics","score_opus":0.041603037851848226,"score_gpt":0.22520218088142707,"score_spread":0.18359914302957886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065774654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93673116,0.00039459686,0.000017863465,0.00057248434,0.00021898776,0.00023381082,0.00021817532,0.000018342778,0.06159459],"genre_scores_gemma":[0.9951192,0.0026234624,0.00005667448,0.00060756895,0.000107245956,0.00003509688,0.000030517147,0.000024301175,0.001395946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983921,0.000055091125,0.00061735703,0.00047631553,0.00003511702,0.00042401766],"domain_scores_gemma":[0.99924624,0.00010011162,0.00012514582,0.00043009987,0.0000054966904,0.00009292869],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000911473,0.00020273414,0.00040574212,0.00011957712,0.00017450897,0.00007964292,0.00030969558,0.0000956839,0.0013034234],"category_scores_gemma":[0.000024096384,0.0001836644,0.000109093446,0.00007349632,0.00012354433,0.00012923681,0.0001018145,0.00018324654,0.00017781979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058870453,0.00010069062,0.79784054,0.000020287061,0.000117353055,0.000029462346,0.0021961501,0.0002348559,0.00003229742,0.19742626,0.000642807,0.0013004506],"study_design_scores_gemma":[0.0012106118,0.000066452536,0.9185918,0.000008190359,0.000007910247,0.000023792069,0.00020152864,0.0026536162,0.000007443112,0.013756613,0.0629598,0.00051222026],"about_ca_topic_score_codex":0.00058331934,"about_ca_topic_score_gemma":0.0003985245,"teacher_disagreement_score":0.18366966,"about_ca_system_score_codex":0.00016579144,"about_ca_system_score_gemma":0.000029650466,"threshold_uncertainty_score":0.99960953},"labels":[],"label_agreement":null},{"id":"W2066312925","doi":"10.1111/j.1467-9914.2009.00450.x","title":"The Structure of Wages by Firm Size: A Comparison of Canada and the USA","year":2009,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wage; Sorting; Economics; Distribution (mathematics); Demographic economics; Labour economics; Estimation","score_opus":0.008044929762121221,"score_gpt":0.21299998393718286,"score_spread":0.20495505417506163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066312925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931494,0.0024836592,0.000020947693,0.0023934694,0.000111914276,0.00008438486,0.0007445918,0.0000019108322,0.001009705],"genre_scores_gemma":[0.99873334,0.00020730551,0.000041101037,0.0002835168,0.000016747133,5.6244016e-7,0.000002462789,0.0000037237344,0.0007112557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99930525,0.000023831977,0.00038766518,0.00011068938,0.000040896448,0.00013166155],"domain_scores_gemma":[0.99910223,0.0002840141,0.00032384766,0.00023076111,0.00003288217,0.000026274269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034163808,0.00007127908,0.00027988874,0.000009067077,0.00009570758,0.00002430417,0.00019081104,0.00003725987,0.000051238414],"category_scores_gemma":[0.0002251124,0.000044278848,0.000029820987,0.000105585255,0.000082299426,0.00002738447,0.000025125724,0.00009354544,2.1780616e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050084447,0.000018378689,0.1984807,0.000017843005,0.000031913267,2.5034467e-7,0.0002540957,0.000023752895,0.000105630774,0.7985399,0.0013229186,0.0011545619],"study_design_scores_gemma":[0.0008421626,0.000042301053,0.7516475,0.000006903221,0.0000058190863,6.2320953e-7,0.00010838796,0.0009998492,0.0004506093,0.21909072,0.026680443,0.00012472789],"about_ca_topic_score_codex":0.1915018,"about_ca_topic_score_gemma":0.30861545,"teacher_disagreement_score":0.5794492,"about_ca_system_score_codex":0.000020303734,"about_ca_system_score_gemma":0.000031844644,"threshold_uncertainty_score":0.81388205},"labels":[],"label_agreement":null},{"id":"W2066722112","doi":"10.5539/ijef.v4n1p56","title":"Compensating Differentials and the Value of Job Security: Evidence from the Egyptian Public Sector","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public sector; Wage; Private sector; Economics; Labour economics; Value (mathematics); Job security; Order (exchange); Disadvantage; Demographic economics; Business; Economic growth; Finance; Work (physics); Political science","score_opus":0.06090717560527565,"score_gpt":0.23306854547928685,"score_spread":0.1721613698740112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066722112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902679,0.0035620108,0.00051596994,0.0038590594,0.000747853,0.00007853349,0.00020185487,0.00000141233,0.0007654171],"genre_scores_gemma":[0.9844102,0.014436757,0.00056169677,0.00036128444,0.00020053124,0.0000023767307,0.0000016736243,0.000008859398,0.000016614658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871707,0.000052136566,0.0009081885,0.00016943381,0.000038625636,0.00011456088],"domain_scores_gemma":[0.9977493,0.0005363718,0.001362258,0.00017889652,0.00014127535,0.000031863172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015416602,0.0001091293,0.00037822116,0.00006541723,0.000073038376,0.00013915695,0.0005499322,0.000050055165,0.000057415822],"category_scores_gemma":[0.00035758395,0.00007620946,0.000116447605,0.000042160435,0.0002393189,0.00033943428,0.00016248142,0.00017363919,0.0000017894345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012852953,0.000027261363,0.09340725,0.000004047604,0.00019075298,0.000002147747,0.0017190893,0.000031844695,0.0000039708,0.90313053,0.000018241164,0.0013363382],"study_design_scores_gemma":[0.001344171,0.000053632342,0.27317816,0.00009442441,0.00001795031,0.000024060382,0.0001297626,0.021434711,0.00004300805,0.7010289,0.0025021217,0.00014910023],"about_ca_topic_score_codex":0.00090877886,"about_ca_topic_score_gemma":0.00018566633,"teacher_disagreement_score":0.20210162,"about_ca_system_score_codex":0.00003541992,"about_ca_system_score_gemma":0.00003190937,"threshold_uncertainty_score":0.31077313},"labels":[],"label_agreement":null},{"id":"W2068333844","doi":"10.1257/aer.96.3.811","title":"General versus Specific Skills in Labor Markets with Search Frictions and Firing Costs","year":2006,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Human capital; Labour economics; Capital (architecture); General equilibrium theory; Microeconomics; Market economy","score_opus":0.015820932227768536,"score_gpt":0.24703909947550337,"score_spread":0.23121816724773483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068333844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261738,0.04069653,0.0001038318,0.0011667857,0.0001985457,0.0003768885,0.0002200797,0.000024050438,0.031039499],"genre_scores_gemma":[0.8610701,0.13646583,0.001288419,0.00042857684,0.00013308646,0.00005548969,0.000039612605,0.000036035795,0.00048285644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983372,0.000054927565,0.00070519705,0.0005259767,0.000026169753,0.00035052575],"domain_scores_gemma":[0.99905527,0.00013393708,0.00031998902,0.00039099052,0.000017574937,0.000082246515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075568765,0.00019338592,0.00068064645,0.00015084179,0.000066158005,0.00007075038,0.00016739528,0.00003115472,0.00024517375],"category_scores_gemma":[0.000022351345,0.00020274128,0.00006760822,0.00031942318,0.00015064182,0.00018083176,0.00006057789,0.00015559286,0.0001533657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009492253,0.000170689,0.60239613,0.0003057259,0.0000894156,0.000023968323,0.000047942925,0.0002222522,0.0000028479774,0.2909884,0.0016570457,0.10400067],"study_design_scores_gemma":[0.0012869834,0.0001147953,0.8066899,0.00030748142,0.000012618583,0.000011177962,0.000026029222,0.0010322566,0.0000026127823,0.0024717173,0.18747424,0.0005701535],"about_ca_topic_score_codex":0.002873015,"about_ca_topic_score_gemma":0.0010137081,"teacher_disagreement_score":0.28851667,"about_ca_system_score_codex":0.00042069092,"about_ca_system_score_gemma":0.000033058317,"threshold_uncertainty_score":0.8267549},"labels":[],"label_agreement":null},{"id":"W2068416507","doi":"10.1108/01437720310507956","title":"Earnings and “skill” allocation in the Canadian labor market","year":2003,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Workforce; Labour economics; Wage; Economics; Demographic economics; Accounting","score_opus":0.012716156031795102,"score_gpt":0.22942239645862358,"score_spread":0.21670624042682848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068416507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93381137,0.00044997188,0.00022852012,0.008719904,0.00082098437,0.000052494728,0.000034546792,0.0000014942091,0.05588072],"genre_scores_gemma":[0.9976309,0.0001792668,0.00023361336,0.0013944218,0.00006332868,0.0000013962867,0.0000020467114,0.000005543979,0.0004894688],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992796,0.000047476136,0.0004015383,0.000087090826,0.00007906387,0.0001051986],"domain_scores_gemma":[0.99937975,0.00007705675,0.00027798794,0.0000766414,0.00013718278,0.00005135249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020965566,0.000058072284,0.000112182264,0.00024780934,0.00003532497,0.00012171682,0.0002465259,0.00004386759,0.00042105906],"category_scores_gemma":[0.0005206383,0.00004849333,0.0000384842,0.00009626695,0.000026489177,0.00018141024,0.000010261494,0.00016939815,0.000010972374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001798339,0.000040889212,0.38254544,0.000002385129,0.000043458018,0.000053602445,0.00080678565,0.000021565225,0.000002360776,0.614954,0.0011526187,0.00035889805],"study_design_scores_gemma":[0.0005002219,0.000027225715,0.6797108,0.000016287813,0.0000023319142,0.000080566715,0.00015290745,0.00020633181,0.000003282849,0.09554949,0.2236578,0.0000927303],"about_ca_topic_score_codex":0.0046228934,"about_ca_topic_score_gemma":0.01586244,"teacher_disagreement_score":0.51940453,"about_ca_system_score_codex":0.00013404175,"about_ca_system_score_gemma":0.00006287524,"threshold_uncertainty_score":0.88516146},"labels":[],"label_agreement":null},{"id":"W2068465043","doi":"10.1080/0003684042000191138","title":"Evolution of the gender earnings gap among Canadian university graduates","year":2004,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Residence; Demographic economics; Bachelor; Gender gap; Economics; Gender pay gap; Demography; Sociology; Labour economics; Geography; Accounting; Wage","score_opus":0.018068955485783123,"score_gpt":0.16573729478474336,"score_spread":0.14766833929896023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068465043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94046867,0.00003495233,0.0005731046,0.00030000258,0.00023166482,0.00016152204,0.0001889351,0.0000138116075,0.058027327],"genre_scores_gemma":[0.9993658,0.000056572786,0.00021913121,0.00009761732,0.000033330336,0.0000020187654,0.000010827973,0.000016213633,0.00019846825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991122,0.0000073503784,0.00032941476,0.00027877573,0.000014314668,0.0002579473],"domain_scores_gemma":[0.9991672,0.000019031804,0.00032880149,0.00035921403,0.000019785843,0.000105953724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037341888,0.00011520835,0.00022930706,0.00013362226,0.00016381488,0.000023489149,0.0003263912,0.00010912822,0.00005632606],"category_scores_gemma":[0.000020420752,0.00012889848,0.00010355868,0.00018307976,0.00012206009,0.00011461879,0.00007056838,0.0001391238,0.000066138455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004422328,0.000012380572,0.18702018,0.000006506286,0.000022758722,2.2308537e-7,0.00015688052,0.0053662173,0.0000037046889,0.8073582,0.000012543075,0.00003597544],"study_design_scores_gemma":[0.00038410522,0.000005292641,0.54211056,0.0000026602502,0.0000058680575,5.315772e-7,0.00014752342,0.0003469002,0.000034357647,0.45388228,0.0029188716,0.00016101835],"about_ca_topic_score_codex":0.1039859,"about_ca_topic_score_gemma":0.06873461,"teacher_disagreement_score":0.3550904,"about_ca_system_score_codex":0.0009380035,"about_ca_system_score_gemma":0.00016078062,"threshold_uncertainty_score":0.9482586},"labels":[],"label_agreement":null},{"id":"W2070341794","doi":"10.1111/1467-937x.00147","title":"Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates","year":2000,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Distribution (mathematics); Estimator; Economics; Sociology; Demography; Political science; Law; Statistics; Mathematics","score_opus":0.03997817654900855,"score_gpt":0.28058474373371006,"score_spread":0.24060656718470153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070341794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702117,0.024453525,0.0004100118,0.0011550235,0.000025345253,0.0004705396,0.0031592716,0.0000016157042,0.00011299761],"genre_scores_gemma":[0.95518124,0.04454646,0.000012003869,0.000022914455,0.000006970008,0.000072463336,0.00014668501,0.0000024993788,0.000008791502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99868274,0.00013666318,0.0009268015,0.0001309865,0.000028001738,0.00009482073],"domain_scores_gemma":[0.99805653,0.0009824188,0.0005809616,0.00032524616,0.00004375034,0.000011078636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018849642,0.00008430653,0.0005929603,0.00003255145,0.000056766014,0.0000048399784,0.00024901362,0.000018522087,0.000018678884],"category_scores_gemma":[0.0002115588,0.0000492607,0.00004462891,0.00028037318,0.0003475999,0.000056106488,0.000039638257,0.00006562506,4.7353802e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052853105,0.00010684126,0.4117578,0.0013873965,0.00022196378,1.0296658e-7,0.0014108733,0.0004588825,4.410452e-7,0.5813597,0.00010440198,0.003138724],"study_design_scores_gemma":[0.00069201627,0.00006923897,0.91895616,0.000768776,0.00009133254,6.384503e-7,0.0017133012,0.007488932,0.000010486973,0.06902902,0.0010366648,0.00014343143],"about_ca_topic_score_codex":0.2437762,"about_ca_topic_score_gemma":0.040347394,"teacher_disagreement_score":0.5123307,"about_ca_system_score_codex":0.000063638436,"about_ca_system_score_gemma":0.000041422805,"threshold_uncertainty_score":0.9771638},"labels":[],"label_agreement":null},{"id":"W2070911606","doi":"10.1111/1467-9442.00261","title":"Fewer in Number but Harder to Employ: Incidence and Duration of Unemployment in an Economic Upswing","year":2001,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Norwegian; Quarter (Canadian coin); Inflow; Demographic economics; Labour economics; Employability; Duration (music); Immigration; Geography; Economic growth","score_opus":0.030996735858952112,"score_gpt":0.2656553910728282,"score_spread":0.2346586552138761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070911606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777967,0.00013517225,0.00022304266,0.0005393274,0.00039810967,0.0001522389,0.000057409055,0.0000029985715,0.00071203505],"genre_scores_gemma":[0.9982466,0.00061269803,0.0008098414,0.00014394097,0.00009539675,0.00000441256,0.0000033756344,0.000023862209,0.00005987324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769896,0.00003913988,0.0016845359,0.0002885545,0.000022433722,0.00026635925],"domain_scores_gemma":[0.99864787,0.000057835678,0.0008548521,0.00022905758,0.000044497687,0.00016588453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016232532,0.00016156308,0.0006218886,0.000455502,0.00003513627,0.000087354594,0.00023999478,0.00009564194,0.00015718817],"category_scores_gemma":[0.000077979064,0.00019328806,0.000078718214,0.00014990618,0.000042574917,0.00076571625,0.00006136597,0.00018545166,0.000020412372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013290305,0.00006929239,0.96669763,0.000011415929,0.000017137043,0.000016218073,0.00071414997,0.0037479384,0.000014744568,0.027639892,0.0000070223414,0.0009316718],"study_design_scores_gemma":[0.0017570953,0.00027319492,0.8818127,0.00013349619,0.0000069044777,0.000076249715,0.00033954717,0.004650873,0.000074805,0.109828,0.0006626483,0.00038448273],"about_ca_topic_score_codex":0.0007721233,"about_ca_topic_score_gemma":0.0028386693,"teacher_disagreement_score":0.08488492,"about_ca_system_score_codex":0.0005314433,"about_ca_system_score_gemma":0.00006176363,"threshold_uncertainty_score":0.78820586},"labels":[],"label_agreement":null},{"id":"W2071744567","doi":"10.1787/hemp-v18-art15-en","title":"Where are the Boys? Gender Imbalance in Higher Education","year":2006,"lang":"en","type":"article","venue":"Higher Education Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Gender balance; Higher education; Balance (ability); Politics; Gender gap; Political science; Gender equality; Demographic economics; Gender disparity; Economic growth; Sociology; Gender studies; Psychology; Economics; Law","score_opus":0.03049752334617738,"score_gpt":0.24992421333938183,"score_spread":0.21942668999320444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071744567","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20432653,0.012866794,0.00015530232,0.032213733,0.0077680713,0.0008643053,0.000044463413,0.00007447463,0.74168634],"genre_scores_gemma":[0.8666851,0.00028821558,0.0003521803,0.001893872,0.00048635155,0.0002455722,0.000050570135,0.000021845975,0.12997629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987162,0.000037134167,0.0005159565,0.00041208003,0.00006761179,0.00025103314],"domain_scores_gemma":[0.999003,0.00001948801,0.00033843747,0.00055711466,0.00004463351,0.000037355818],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042101485,0.00016009212,0.0001849214,0.00017773754,0.000093359005,0.00014298485,0.00029376466,0.00006533403,0.0018000419],"category_scores_gemma":[0.0000026351663,0.00015220282,0.00006250414,0.0004415114,0.000028737044,0.00017785247,0.00006297495,0.000120127,0.0003475507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032212813,0.00032644166,0.2792155,0.00006824007,0.00001244722,4.5762027e-7,0.000025904283,0.000051032624,5.188841e-7,0.6959849,0.023916721,0.00039461724],"study_design_scores_gemma":[0.00009583705,0.0000020089838,0.4940821,0.000013573543,0.0000036417905,1.2944639e-7,0.00005753566,0.000015097953,2.566751e-7,0.15416479,0.35146055,0.00010447461],"about_ca_topic_score_codex":0.00072401355,"about_ca_topic_score_gemma":0.00009312863,"teacher_disagreement_score":0.6623586,"about_ca_system_score_codex":0.00030358066,"about_ca_system_score_gemma":0.0000362201,"threshold_uncertainty_score":0.9991124},"labels":[],"label_agreement":null},{"id":"W2071964753","doi":"10.1007/s12122-009-9074-5","title":"Labour Market Outcomes and Skill Acquisition of High-School Dropouts","year":2009,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation; The Scarborough Hospital; York University; University of Toronto","funders":"","keywords":"Disadvantaged; Spillover effect; Outcome (game theory); Dreyfus model of skill acquisition; Labour economics; Cohort; Economics; Wage; Demographic economics; Set (abstract data type); Psychology; Economic growth; Medicine; Microeconomics","score_opus":0.032036427571626655,"score_gpt":0.31891726661151026,"score_spread":0.2868808390398836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071964753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98903906,0.0013268336,0.00016949618,0.0055721155,0.00018801211,0.000111423775,0.00023311884,0.000004713676,0.0033552141],"genre_scores_gemma":[0.9955825,0.0013788217,0.0010428564,0.00027944226,0.00014190229,0.0000011585648,0.000002101771,0.000012559002,0.0015586362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981259,0.00014071565,0.0009875891,0.00019315312,0.00023216517,0.00032046193],"domain_scores_gemma":[0.9980209,0.00026812908,0.0005856008,0.0002715611,0.0006523201,0.00020152715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057944325,0.00011422031,0.00055895775,0.00056657504,0.00008340328,0.00009890186,0.00030645885,0.00010622274,0.00073618116],"category_scores_gemma":[0.0011307836,0.00010164345,0.00010478933,0.0005239749,0.00008318258,0.00033913893,0.00006585431,0.00045257903,0.0000155411],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026986699,0.0003129509,0.45736435,0.00006563474,0.00010543821,0.000054386153,0.00018755055,0.000008531815,0.00020840093,0.5381975,0.0012954422,0.00192995],"study_design_scores_gemma":[0.0008039977,0.0003124038,0.7450188,0.00003199152,0.0000035370501,0.000010134771,0.00005858371,0.00006888135,0.000064517706,0.251565,0.0019737512,0.000088396344],"about_ca_topic_score_codex":0.00019610809,"about_ca_topic_score_gemma":0.000013978014,"teacher_disagreement_score":0.28765443,"about_ca_system_score_codex":0.00011584714,"about_ca_system_score_gemma":0.000075881246,"threshold_uncertainty_score":0.8060667},"labels":[],"label_agreement":null},{"id":"W2072158892","doi":"10.2139/ssrn.519462","title":"Training and Lifetime Income","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Training (meteorology); Economics; Demographic economics; Geography","score_opus":0.016276951210347005,"score_gpt":0.22522132303021658,"score_spread":0.20894437181986958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072158892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670097,0.0088691795,0.007939028,0.0026713007,0.00016917895,0.00006369855,0.000018928748,0.000026494063,0.013232484],"genre_scores_gemma":[0.9926729,0.004711532,0.0004020859,0.000251118,0.0004066826,0.0000020207553,0.0000018252806,0.000019328563,0.0015324673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998043,0.000020338553,0.00044790062,0.00020306975,0.00003585374,0.001249813],"domain_scores_gemma":[0.99949473,0.000034332457,0.00022730767,0.00012927961,0.000020709249,0.00009361462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029208325,0.00011526783,0.00025247099,0.0001294816,0.0001516276,0.00009164946,0.00016351734,0.0000687083,0.000093862254],"category_scores_gemma":[0.00008997797,0.000121491175,0.000071757204,0.00011857609,0.0000334425,0.0002542995,0.000036563648,0.00089054485,0.000073807285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007835259,0.00002104705,0.01625793,0.0000023297914,0.00005671087,0.0000010517043,0.00023144166,0.000016870477,0.000003957968,0.9500998,0.0000050723174,0.03329595],"study_design_scores_gemma":[0.0005032762,0.00009341431,0.00737036,0.0000064658575,0.000004739778,0.00015994233,0.00021387603,0.0014244886,0.0000014716087,0.9674849,0.022538899,0.00019817748],"about_ca_topic_score_codex":0.000049550836,"about_ca_topic_score_gemma":0.00027026277,"teacher_disagreement_score":0.033097774,"about_ca_system_score_codex":0.00041548233,"about_ca_system_score_gemma":0.00020150094,"threshold_uncertainty_score":0.49542663},"labels":[],"label_agreement":null},{"id":"W2073645134","doi":"10.1108/ijm-01-2012-0017","title":"Glass ceiling or sticky floor? Quantile regression decomposition of the gender pay gap in China","year":2014,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gender pay gap; Quantile; Distribution (mathematics); Glass ceiling; Quantile regression; Economics; Wage; China; Econometrics; Ceiling (cloud); Demographic economics; Labour economics; Mathematics; Geography","score_opus":0.028415772454708357,"score_gpt":0.28968534344535185,"score_spread":0.2612695709906435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073645134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98255605,0.00010295834,0.009959957,0.0012241164,0.0024692486,0.00005332631,0.000038595186,0.0000028291388,0.003592954],"genre_scores_gemma":[0.99869627,0.000090261514,0.0006632688,0.00015678904,0.00020012037,9.031432e-7,0.000003140155,0.000010263673,0.00017900713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987112,0.00005958683,0.000850616,0.00012381234,0.00014437638,0.00011038017],"domain_scores_gemma":[0.9986412,0.0000939558,0.00092038367,0.00015315627,0.00015741866,0.000033915967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013391341,0.00008982598,0.00024519293,0.00020007735,0.000027728547,0.000041784788,0.0004535678,0.000060523078,0.00028984807],"category_scores_gemma":[0.00036704706,0.000053812626,0.00014268077,0.000109554145,0.00003173647,0.0001897777,0.00008329861,0.00021404351,0.000008947904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010940089,0.00079554564,0.59737635,0.00007093548,0.00030835086,0.000059217182,0.0013285979,0.0045219045,0.0010973825,0.38579068,0.0005801635,0.0069768825],"study_design_scores_gemma":[0.001715767,0.00009815639,0.83110994,0.0002595665,0.000009633382,0.00005749179,0.000059828337,0.020896731,0.0004468452,0.13914004,0.0060200435,0.00018593796],"about_ca_topic_score_codex":0.0000766101,"about_ca_topic_score_gemma":0.000035805413,"teacher_disagreement_score":0.24665062,"about_ca_system_score_codex":0.00010687769,"about_ca_system_score_gemma":0.000029043247,"threshold_uncertainty_score":0.31736332},"labels":[],"label_agreement":null},{"id":"W2073707857","doi":"10.1111/j.1467-8543.2009.00724.x","title":"Minimum Wage Impacts on Older Workers: Longitudinal Estimates from Canada","year":2009,"lang":"en","type":"article","venue":"British Journal of Industrial Relations","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Minimum wage; Demographic economics; Wage; Longitudinal data; Economics; Survey of Income and Program Participation; Low wage; Labour economics; Longitudinal study; Demography; Sociology; Medicine","score_opus":0.03950211996140997,"score_gpt":0.23820140591465128,"score_spread":0.19869928595324132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073707857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954254,0.0012241082,0.00044359048,0.0022112068,0.0010488194,0.00010307091,0.0006697576,0.000008299647,0.0047486117],"genre_scores_gemma":[0.99845034,0.000098161756,0.0003982447,0.00021324126,0.0006055532,8.0359393e-7,0.00003314551,0.00001248797,0.00018802953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984019,0.000031384032,0.0010138968,0.000189866,0.000114327835,0.0002486736],"domain_scores_gemma":[0.99843234,0.00030714448,0.00080930104,0.00014984909,0.00010479394,0.00019655983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006117264,0.00012942246,0.0003976947,0.00012177862,0.00016350666,0.00020733417,0.00020929376,0.00017914889,0.00063805416],"category_scores_gemma":[0.0014766112,0.00015990072,0.00013539381,0.00023022847,0.000024792093,0.0002950268,0.00001482665,0.00062337273,0.000020062189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023152262,0.00049733324,0.8639701,0.0000031453374,0.00039154466,0.0010168131,0.00014159006,0.0024596378,0.000010639252,0.022342747,0.072119445,0.036815487],"study_design_scores_gemma":[0.0022118322,0.00017648615,0.9501399,0.00040300973,0.000034163386,0.00009768539,0.000060117443,0.000367361,0.000012475491,0.04289099,0.0033105854,0.00029544585],"about_ca_topic_score_codex":0.16539924,"about_ca_topic_score_gemma":0.039447848,"teacher_disagreement_score":0.1259514,"about_ca_system_score_codex":0.00034672942,"about_ca_system_score_gemma":0.0003508301,"threshold_uncertainty_score":0.97807974},"labels":[],"label_agreement":null},{"id":"W2075427517","doi":"10.1257/app.4.1.1","title":"The Short- and Long-Term Career Effects of Graduating in a Recession","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1261,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; University of Toronto","funders":"","keywords":"Recession; Earnings; Economics; Term (time); Labour economics; Work (physics); Demographic economics; Work hours; Earnings growth; Working hours; Accounting; Keynesian economics; Engineering","score_opus":0.01728618508565248,"score_gpt":0.23214930630111175,"score_spread":0.21486312121545925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075427517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946514,0.0019866584,0.000357395,0.00025595643,0.000665369,0.0002211512,0.000025572897,0.00000865527,0.0018278675],"genre_scores_gemma":[0.99346757,0.0056610783,0.00035558545,0.00018033216,0.00024386072,0.000024947394,0.0000042621155,0.000038640883,0.000023721168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781626,0.000037174683,0.0012601439,0.00029794,0.00001981496,0.0005686683],"domain_scores_gemma":[0.99794245,0.0004378356,0.001084677,0.0003202687,0.000011949541,0.0002028007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019097878,0.00022556457,0.0006795164,0.0001854591,0.00018822408,0.0001280341,0.00032371358,0.00006972697,0.000020867814],"category_scores_gemma":[0.00006236941,0.00021258362,0.00011194743,0.000097206386,0.00026691204,0.0003195655,0.00014066047,0.00034501727,0.000023900295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050681974,0.00005269315,0.7871421,0.000030330368,0.00008508806,9.056165e-7,0.00046890258,0.00016627024,0.000021061003,0.1620176,0.000012155284,0.049952205],"study_design_scores_gemma":[0.00090097165,0.000091430215,0.9408401,0.000034736204,0.000017864575,0.000042947293,0.00038931082,0.0008417114,0.00013469323,0.055027798,0.0011559556,0.0005224779],"about_ca_topic_score_codex":0.00012780375,"about_ca_topic_score_gemma":0.00016485604,"teacher_disagreement_score":0.153698,"about_ca_system_score_codex":0.00039910938,"about_ca_system_score_gemma":0.00003793081,"threshold_uncertainty_score":0.86689085},"labels":[],"label_agreement":null},{"id":"W2076154283","doi":"10.7202/050855ar","title":"Sources of Employment Growth by Occupation and Industry in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Census; Labour economics; Economics; Demographic economics; Business; Population","score_opus":0.016765753340094478,"score_gpt":0.2049403043063094,"score_spread":0.18817455096621494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076154283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931815,0.00080313184,0.00015502302,0.0018065277,0.000042188905,0.00008728169,0.00027368488,0.0000050666276,0.0036455712],"genre_scores_gemma":[0.9991657,0.00009595995,0.0001224409,0.00008385021,0.000021342274,0.0000063603347,0.000023728657,0.0000068843524,0.00047371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919,0.000016145892,0.00047777253,0.00015941088,0.000036390567,0.00012029557],"domain_scores_gemma":[0.99953586,0.00007800092,0.00020905775,0.00011164528,0.000022003664,0.000043410117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002469758,0.00007520668,0.00016407877,0.000106249514,0.000043041087,0.000013202536,0.00006895073,0.0002385768,0.00012804709],"category_scores_gemma":[0.00011379219,0.00008830027,0.00001463797,0.00025177575,0.000026057314,0.00012004374,0.000026812555,0.00035946304,0.000003468151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028436953,0.000027331185,0.9453069,0.0000013925259,0.000009714047,3.4344671e-7,0.00010870015,0.00036441768,0.0000014893292,0.051334444,0.0010960987,0.0017463214],"study_design_scores_gemma":[0.00089339813,0.000030093415,0.9336046,0.000037657857,0.00000772166,0.0000018760627,0.00056275766,0.0069048167,0.00029853045,0.0160845,0.04121832,0.00035571784],"about_ca_topic_score_codex":0.51808435,"about_ca_topic_score_gemma":0.23641941,"teacher_disagreement_score":0.28166497,"about_ca_system_score_codex":0.00025584965,"about_ca_system_score_gemma":0.00015620892,"threshold_uncertainty_score":0.777514},"labels":[],"label_agreement":null},{"id":"W2078039749","doi":"10.1353/cpp.2011.0003","title":"Cohort and Period Perspectives on Gender, Education, and Earnings in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Earnings; Period (music); Cohort; Demographic economics; Cohort effect; Demography; Political science; Psychology; Sociology; Economics; Medicine; Accounting; Art","score_opus":0.025944843356413696,"score_gpt":0.20710381330778613,"score_spread":0.18115896995137243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078039749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90089816,0.00065459526,0.0000027691417,0.002993805,0.00009076555,0.00009829186,0.00016804975,0.000004649561,0.09508892],"genre_scores_gemma":[0.99770355,0.00022733843,0.00004240003,0.0014194404,0.000060443086,0.000017861437,0.00000864218,0.000013021757,0.00050731015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991115,0.000016661626,0.00021211599,0.00030557878,0.0000218579,0.00033233294],"domain_scores_gemma":[0.9992309,0.000013239393,0.00007784959,0.00018748267,0.000035137567,0.0004553411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028459102,0.00010170188,0.00017321725,0.00050781335,0.000094968964,0.00006637875,0.000107712985,0.000049171624,0.00021324983],"category_scores_gemma":[0.00033136908,0.00012497956,0.000013116553,0.00027206977,0.00005283241,0.00013270944,0.000019908053,0.000120444034,0.0000058379405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[6.6453947e-7,0.000007990509,0.54313886,0.0000037128493,0.000006952339,0.0000020449759,0.0012876575,4.1868596e-8,3.64991e-8,0.4545794,0.00017536664,0.00079725625],"study_design_scores_gemma":[0.00011021252,0.0000092494765,0.96124655,0.0000027749738,8.046522e-7,0.0000062078816,0.001398157,0.0000553178,1.3834136e-7,0.015085671,0.021937933,0.0001470029],"about_ca_topic_score_codex":0.998742,"about_ca_topic_score_gemma":0.9972276,"teacher_disagreement_score":0.43949375,"about_ca_system_score_codex":0.0015081209,"about_ca_system_score_gemma":0.0057046283,"threshold_uncertainty_score":0.9999321},"labels":[],"label_agreement":null},{"id":"W2078574451","doi":"10.1007/s001810100111","title":"The symmetry of the wage-change distribution: Survey and contract data","year":2002,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Wage; Survey data collection; Parametric statistics; Distribution (mathematics); Symmetry (geometry); Economics; Econometrics; Private sector; Labour economics; Mathematics; Statistics; Economic growth","score_opus":0.18179445850134768,"score_gpt":0.2847899693316491,"score_spread":0.1029955108303014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078574451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819805,0.002871053,0.00015153989,0.007287652,0.000667857,0.0002421647,0.008301178,0.0000118991875,0.0022686205],"genre_scores_gemma":[0.99645066,0.0023395391,0.000025675547,0.0007027521,0.0001172828,0.000008184271,0.00011598472,0.00001441728,0.00022548463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856687,0.00007991236,0.00068551925,0.00038922927,0.000025359106,0.00025309212],"domain_scores_gemma":[0.99758285,0.00073577836,0.0004217468,0.0011498982,0.00003225897,0.00007747585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196441,0.00013594575,0.00033553902,0.000019909114,0.00022937238,0.00011310572,0.0007728345,0.00010573398,0.00009819744],"category_scores_gemma":[0.00083270343,0.00009767643,0.00007542863,0.00016144982,0.00022461165,0.00022318256,0.00047253747,0.00019110719,0.00003536894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016593849,0.00007777093,0.7562362,0.000009631467,0.00006140455,4.6834464e-7,0.00008281867,0.0000030710548,1.3049812e-7,0.23505989,0.0025342135,0.005917828],"study_design_scores_gemma":[0.00032726506,0.000020454625,0.8363826,0.0000038928956,0.000005747928,0.0000025827128,0.000012477008,0.027485974,0.0000015721026,0.027961621,0.10762647,0.00016933215],"about_ca_topic_score_codex":0.00059482607,"about_ca_topic_score_gemma":0.00066121767,"teacher_disagreement_score":0.20709826,"about_ca_system_score_codex":0.0000706591,"about_ca_system_score_gemma":0.000011557412,"threshold_uncertainty_score":0.39831293},"labels":[],"label_agreement":null},{"id":"W2078590249","doi":"10.1111/j.1542-4774.2012.01088.x","title":"AN INTERNATIONAL COMPARISON OF LIFETIME INEQUALITY: HOW CONTINENTAL EUROPE RESEMBLES NORTH AMERICA","year":2012,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Economic and Social Research Council","keywords":"Earnings; Economics; Inequality; Sample (material); Demographic economics; Econometrics; Mathematics","score_opus":0.027396812807667443,"score_gpt":0.2575603214879401,"score_spread":0.23016350868027266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078590249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98282725,0.00015149251,0.00052959146,0.0015651901,0.0019845322,0.000070725335,0.00029807762,0.00000789227,0.012565275],"genre_scores_gemma":[0.997983,0.00012975278,0.00024415864,0.00013516599,0.0010249797,4.2661222e-7,0.00001944595,0.000026656795,0.0004364429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795204,0.00042364013,0.0011856671,0.00013325247,0.00009272289,0.00021264459],"domain_scores_gemma":[0.99458355,0.00012027516,0.00481931,0.00023808595,0.00014458397,0.000094184215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037124702,0.00012306366,0.00044915863,0.0001280424,0.00007095752,0.0001023211,0.0006557563,0.000040806764,0.00006578263],"category_scores_gemma":[0.0007258302,0.000110136614,0.0002081226,0.000112782014,0.00003330251,0.00083952805,0.00011696512,0.00023987115,0.00007297884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003001623,0.0001899048,0.9923341,0.000005010678,0.00016302505,3.9751248e-7,0.0006804373,0.0004158501,0.00006233865,0.003700476,0.0012489872,0.0011694563],"study_design_scores_gemma":[0.0004952983,0.00006587354,0.9530791,0.000011678168,0.00002035693,0.0000021991796,0.000136473,0.0016491333,0.00004090466,0.0004244792,0.043936595,0.00013788957],"about_ca_topic_score_codex":0.000045534507,"about_ca_topic_score_gemma":0.000019717156,"teacher_disagreement_score":0.04268761,"about_ca_system_score_codex":0.00044143276,"about_ca_system_score_gemma":0.000025309468,"threshold_uncertainty_score":0.44912407},"labels":[],"label_agreement":null},{"id":"W2078808787","doi":"10.5539/res.v6n4p277","title":"Human Capital on the Knowledge Economy: The Role of Continuing Education","year":2014,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Human capital; Productivity; Knowledge economy; Salary; Individual capital; Capital (architecture); Economics; Public relations; Business; Labour economics; Classical economics; Economic growth; Political science; Financial capital; Economy; Market economy; Finance","score_opus":0.03265486795357418,"score_gpt":0.27632730276172823,"score_spread":0.24367243480815404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078808787","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3264444,0.27677345,0.000006688417,0.0007663872,0.0001390484,0.00022008589,0.000017904613,0.0000062123904,0.39562583],"genre_scores_gemma":[0.96556723,0.03340223,0.000012159722,0.00042789037,0.00012339932,0.00001091922,0.0000023877794,0.000012814818,0.00044098304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998876,0.00020850531,0.00064562337,0.00015906207,0.000016241767,0.00009457582],"domain_scores_gemma":[0.9986189,0.00020753313,0.00062038534,0.00042218555,0.000116632626,0.0000143722455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031606576,0.00010159949,0.00041946766,0.00003189497,0.000086780616,0.000012300517,0.00027841824,0.000009210626,0.000027609673],"category_scores_gemma":[0.000586901,0.000061388775,0.00012952554,0.00009644985,0.000112853246,0.000040766303,0.00011266398,0.000076834076,0.000070906455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.558566e-7,0.000049225946,0.0013291673,0.0006856535,0.00005550964,2.740812e-8,0.0008168402,4.024623e-7,0.000004057258,0.9802057,0.00047700506,0.016375724],"study_design_scores_gemma":[0.00019460871,0.00015073072,0.036767043,0.005359424,0.00005945287,7.80997e-7,0.0020489362,0.000047427886,0.00003446687,0.23580784,0.71923894,0.00029038574],"about_ca_topic_score_codex":0.000012081338,"about_ca_topic_score_gemma":0.000004570176,"teacher_disagreement_score":0.7443979,"about_ca_system_score_codex":0.000021004513,"about_ca_system_score_gemma":0.000006303477,"threshold_uncertainty_score":0.25033617},"labels":[],"label_agreement":null},{"id":"W2080301725","doi":"10.2307/3552390","title":"Increasing Male Earnings Inequality in Canada and the United States, 1981-1997: The Role of Hours Changes versus Wage Changes","year":2004,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage inequality; Economics; Demographic economics; Wage; Inequality; Labour economics; Finance","score_opus":0.021477055191578817,"score_gpt":0.2101007316366305,"score_spread":0.18862367644505168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080301725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511022,0.00073281897,0.0000038037979,0.043683868,0.00011687611,0.00020615318,0.001655388,0.0000070046735,0.0024919072],"genre_scores_gemma":[0.9961819,0.0005688802,0.0000129518585,0.0029236649,0.000095990836,0.000024824983,0.00012393655,0.000019962206,0.000047886442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99858385,0.00013947823,0.00035746876,0.00025391305,0.00006535731,0.0005999221],"domain_scores_gemma":[0.99866563,0.0002793094,0.00029246154,0.00040323797,0.00005515556,0.00030417793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001901188,0.00016303029,0.00033830127,0.00054238015,0.00018300313,0.00010562883,0.00039367314,0.00007438452,0.00004655009],"category_scores_gemma":[0.0011354566,0.00013243945,0.00003184593,0.0010762573,0.0002134602,0.00009336401,0.00008254255,0.00024483466,0.000002153158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055453354,0.000011244214,0.24774082,0.000017496839,0.000052853786,0.000007965287,0.0016737785,0.000076403114,0.0000010765864,0.746985,0.000061018298,0.0033168888],"study_design_scores_gemma":[0.005430559,0.000077143806,0.67890835,0.000050664396,0.000015798605,0.00002161979,0.0036692799,0.0024150934,0.000015078616,0.08270557,0.22598715,0.0007037059],"about_ca_topic_score_codex":0.9998518,"about_ca_topic_score_gemma":0.9998472,"teacher_disagreement_score":0.66427946,"about_ca_system_score_codex":0.001502153,"about_ca_system_score_gemma":0.0023030022,"threshold_uncertainty_score":0.5400724},"labels":[],"label_agreement":null},{"id":"W2081564375","doi":"10.1108/01437720510597649","title":"The impact of overqualification on job search","year":2005,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Matching (statistics); Probit model; Sample (material); Differential (mechanical device); Perspective (graphical); Probit; Originality; Economics; Ordered probit; Job analysis; Empirical research; Value (mathematics); Labour economics; Econometrics; Psychology; Job satisfaction; Social psychology; Mathematics; Management; Statistics","score_opus":0.033428582136963286,"score_gpt":0.3189411480731973,"score_spread":0.285512565936234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081564375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771999,0.00028890755,0.0011592327,0.0033150807,0.00058212597,0.000039103823,0.00008268576,0.0000023291807,0.017330628],"genre_scores_gemma":[0.9984197,0.00034687063,0.00014504658,0.000096935684,0.00032036295,6.118109e-7,0.0000023121017,0.0000074390236,0.00066072604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896884,0.000026678625,0.00068511226,0.00008064758,0.00013973868,0.00009898186],"domain_scores_gemma":[0.9987036,0.00016906438,0.0006108075,0.00014839333,0.00032890806,0.000039230556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015262828,0.00006474792,0.00014757775,0.00015428381,0.000031993743,0.0000650722,0.00045142416,0.000035484045,0.00023583048],"category_scores_gemma":[0.00022731455,0.00004503838,0.0002130595,0.00006934252,0.000037295526,0.00016492682,0.000030974887,0.00014897168,0.000057659097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043047918,0.0002718116,0.08167389,0.000002596159,0.0004473066,0.000006333658,0.00029204407,0.0034282084,0.00015212227,0.90103596,0.0028826722,0.009376546],"study_design_scores_gemma":[0.0016991921,0.0004766549,0.8437955,0.000054685763,0.000006820065,0.00004012026,0.0000853815,0.006869575,0.00043552156,0.08373681,0.062563404,0.00023637443],"about_ca_topic_score_codex":0.00008392565,"about_ca_topic_score_gemma":0.000005916566,"teacher_disagreement_score":0.8172992,"about_ca_system_score_codex":0.00021255299,"about_ca_system_score_gemma":0.00003471159,"threshold_uncertainty_score":0.25821784},"labels":[],"label_agreement":null},{"id":"W2082912736","doi":"10.1080/00346764.2014.927723","title":"Persistent Unemployment and the Generosity of Welfare States","year":2014,"lang":"en","type":"article","venue":"Review of Social Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generosity; Unemployment; Economics; Welfare; Labour economics; Welfare state; Full employment; Unemployment rate; Demographic economics; Macroeconomics; Political science","score_opus":0.016635747714501364,"score_gpt":0.22398652287271978,"score_spread":0.20735077515821843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082912736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6415418,0.18403658,0.0006197489,0.04041914,0.0002843106,0.0014175199,0.0005111975,0.000024012385,0.13114572],"genre_scores_gemma":[0.9720147,0.026969029,0.00006678452,0.000809267,0.00004209264,0.0000119309925,0.0000138474525,0.000007660809,0.00006467003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989675,0.000059562,0.0006776312,0.00016537105,0.000020275913,0.000109645865],"domain_scores_gemma":[0.999065,0.00006404987,0.0006119659,0.00018004677,0.00005028839,0.000028651004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018023212,0.00008916218,0.0006403761,0.00002403117,0.00008574518,0.000012693325,0.00014587995,0.000035003526,0.0001492715],"category_scores_gemma":[0.0000709446,0.00007237324,0.00024383004,0.00006927361,0.0001850142,0.000050908304,0.00006947476,0.000054516826,0.0000051042753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007180811,0.000024191797,0.004704939,0.0020482342,0.00006863067,2.9096494e-8,0.00017499148,0.0000032020916,1.4332127e-7,0.9905991,0.000109089546,0.0022602524],"study_design_scores_gemma":[0.0022803494,0.000113118964,0.020015253,0.00062263984,0.00012015344,0.0000012132787,0.00023112055,0.002708101,0.000012457499,0.21367028,0.7597913,0.00043400945],"about_ca_topic_score_codex":0.00017770649,"about_ca_topic_score_gemma":0.0000059469307,"teacher_disagreement_score":0.77692884,"about_ca_system_score_codex":0.000032569733,"about_ca_system_score_gemma":0.00000815564,"threshold_uncertainty_score":0.2951295},"labels":[],"label_agreement":null},{"id":"W2086810849","doi":"10.7202/050055ar","title":"Evidence from the Skilled-Unskilled Canadian Wage Index","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Index (typography); Differential (mechanical device); Economics; Labour economics; Engineering; Computer science","score_opus":0.039250421614531725,"score_gpt":0.22710996393741326,"score_spread":0.18785954232288155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086810849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036056,0.0049581206,0.0018512724,0.034991495,0.0004309588,0.00033997314,0.0007270734,0.000054778568,0.053040717],"genre_scores_gemma":[0.9938961,0.00066837633,0.00031542557,0.0006678258,0.00034991262,0.000021015294,0.000051676467,0.000019812685,0.004009845],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986862,0.000048063597,0.0005604495,0.0003361547,0.000055838424,0.00031328166],"domain_scores_gemma":[0.9983859,0.00062042434,0.0002123425,0.0005722719,0.00004964929,0.00015938394],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007345767,0.00015014394,0.00021648042,0.00014010693,0.00043395767,0.00012786424,0.0003936045,0.0002791854,0.0026854349],"category_scores_gemma":[0.0010008198,0.00013454453,0.00009174449,0.00048625818,0.000074477815,0.00038172584,0.000056252877,0.0004749779,0.0010547657],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006954405,0.000046217847,0.68721765,4.294838e-7,0.00008326667,0.0000036833228,0.0011740437,0.0022877445,0.0000012477732,0.28889647,0.0098204,0.01046191],"study_design_scores_gemma":[0.00046216758,0.000016570513,0.37395605,0.00006784266,0.00001627088,0.0000018385535,0.00029687674,0.016135111,0.000008577197,0.0310202,0.5776047,0.0004137703],"about_ca_topic_score_codex":0.1256855,"about_ca_topic_score_gemma":0.10028284,"teacher_disagreement_score":0.5677843,"about_ca_system_score_codex":0.00031245415,"about_ca_system_score_gemma":0.00019424006,"threshold_uncertainty_score":0.999723},"labels":[],"label_agreement":null},{"id":"W2087050165","doi":"10.1207/s15324834basp2303_2","title":"Gender and Perceived Income Entitlement Among Full-Time Workers: Analyses for Canadian National Samples, 1984 and 1994","year":2001,"lang":"en","type":"article","venue":"Basic and Applied Social Psychology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Entitlement (fair division); Earnings; Psychology; Demographic economics; Full-time; Social psychology; Demography; Economics; Sociology","score_opus":0.08497511257720092,"score_gpt":0.3199475894356712,"score_spread":0.23497247685847028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087050165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97132194,0.0002570759,0.0010968819,0.0005988776,0.00008453719,0.00024457157,0.00043224852,0.000011312698,0.025952553],"genre_scores_gemma":[0.99760646,0.00016920663,0.00052722223,0.0011603658,0.00016833532,0.000042692827,0.000083292776,0.000013748861,0.00022868431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990502,0.000013733971,0.00028079576,0.00036873858,0.00002976723,0.0002567678],"domain_scores_gemma":[0.9996237,0.00005314494,0.00011318984,0.000074261334,0.000019295541,0.00011639174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043538184,0.00012134913,0.00027542526,0.00014260369,0.00027205038,0.000059201324,0.00006353435,0.00013742923,0.00024373738],"category_scores_gemma":[0.000015768122,0.00013835164,0.000037729587,0.000103044964,0.0001476572,0.00004774895,0.000027658029,0.00007887856,0.000007330982],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011734361,0.00007447084,0.30367285,0.000035940793,0.0002419137,0.0000027029178,0.0010255277,0.0000039770844,0.00012221507,0.6872269,0.003226919,0.0042492575],"study_design_scores_gemma":[0.000829953,0.000020129411,0.82423085,0.0000018427108,0.000012164831,0.0000017308132,0.00017301137,0.00017225377,1.8097866e-7,0.16225903,0.012119332,0.00017949565],"about_ca_topic_score_codex":0.005037582,"about_ca_topic_score_gemma":0.007329894,"teacher_disagreement_score":0.52496785,"about_ca_system_score_codex":0.0000550596,"about_ca_system_score_gemma":0.000025363901,"threshold_uncertainty_score":0.7615351},"labels":[],"label_agreement":null},{"id":"W2088149456","doi":"10.7202/050007ar","title":"Occupational Segregation and Equal Pay for Work or Equal Value","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legislation; Unemployment; Context (archaeology); Wage; Labour economics; Value (mathematics); Work (physics); Economics; Employment protection legislation; Demographic economics; Political science; Law; Economic growth; Engineering; Mathematics","score_opus":0.059915833073506355,"score_gpt":0.2680155585331953,"score_spread":0.20809972545968897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088149456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7852927,0.0006986954,0.19881612,0.006204367,0.0004339117,0.0007001012,0.0011066834,0.00008785638,0.0066596065],"genre_scores_gemma":[0.98709285,0.00006178427,0.007300575,0.0001756515,0.00027876295,0.000051039417,0.00017522946,0.000018780189,0.0048453026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988798,0.000023229286,0.00055428245,0.00029642985,0.000046254772,0.00019998831],"domain_scores_gemma":[0.99896616,0.00047127414,0.00024947134,0.0001830102,0.00005887102,0.000071187445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006622302,0.00012718009,0.00019762755,0.00014860352,0.00024972184,0.000084469495,0.00009340024,0.00024209233,0.00032238523],"category_scores_gemma":[0.0005877176,0.00011309246,0.000057038735,0.00033842982,0.000043826985,0.0002834282,0.000036284087,0.00019645135,0.00007260761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067264606,0.000057215813,0.0890467,0.0000027881242,0.000036275276,2.928256e-7,0.00021531327,0.001688998,8.6644854e-7,0.8913794,0.0014979197,0.016006961],"study_design_scores_gemma":[0.0024550783,0.00015019321,0.12750272,0.00004954095,0.000037330068,0.0000053539197,0.00018348188,0.05842979,0.000032292468,0.37404835,0.43634772,0.0007581531],"about_ca_topic_score_codex":0.000043594402,"about_ca_topic_score_gemma":0.00002539636,"teacher_disagreement_score":0.51733106,"about_ca_system_score_codex":0.00010647875,"about_ca_system_score_gemma":0.000091296424,"threshold_uncertainty_score":0.46117765},"labels":[],"label_agreement":null},{"id":"W2088529070","doi":"10.1109/itmc.2011.5995948","title":"Factors affecting improved innovation output in service sector firms","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"Business; Tertiary sector of the economy; Service (business); Work (physics); Knowledge management; Industrial organization; Competitive advantage; Information technology; Marketing; Process management; Computer science; Engineering","score_opus":0.10050418960644496,"score_gpt":0.23608004298404608,"score_spread":0.13557585337760114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088529070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565157,0.000023660496,0.0021431032,0.00008067075,0.0003737893,0.00016634451,0.00004544976,0.00005294627,0.04059828],"genre_scores_gemma":[0.9984136,0.000004852135,0.00055680407,0.00038264683,0.000030034664,0.0000066994985,0.000023780289,0.000019694517,0.0005618628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987975,0.000014354116,0.0006056794,0.0003158089,0.000020469404,0.00024620388],"domain_scores_gemma":[0.99934906,0.000048353515,0.00026228002,0.0002477762,0.00005963713,0.000032879547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007758949,0.00013900474,0.00026019756,0.0002964788,0.000041797462,0.000037564965,0.00015949404,0.00010748541,0.00048928586],"category_scores_gemma":[0.00017202964,0.0001360964,0.00003991247,0.00094791246,0.000009573333,0.00025742158,0.00006014514,0.00014506695,0.000053479504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010937736,0.00008405288,0.78720045,0.00003955653,0.000015628983,8.6281216e-7,0.00176741,0.0000026479322,0.000055634533,0.21038467,0.000009913412,0.0004282567],"study_design_scores_gemma":[0.0004346531,0.0000371007,0.9353011,0.000008355792,0.0000013728646,2.3407496e-7,0.0003141406,0.005632364,0.0002564566,0.057372984,0.00035565175,0.0002855451],"about_ca_topic_score_codex":0.006273137,"about_ca_topic_score_gemma":0.0019453024,"teacher_disagreement_score":0.15301168,"about_ca_system_score_codex":0.00009425271,"about_ca_system_score_gemma":0.000012578593,"threshold_uncertainty_score":0.94831485},"labels":[],"label_agreement":null},{"id":"W2088633613","doi":"10.1007/s00712-010-0133-4","title":"Technological choices and unemployment benefits in a matching model with heterogenous workers","year":2010,"lang":"en","type":"article","venue":"Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec en Outaouais","funders":"","keywords":"Unemployment; Matching (statistics); Economics; Productivity; Public finance; Labour economics; Microeconomics; Macroeconomics","score_opus":0.02664358964172803,"score_gpt":0.21568983129889804,"score_spread":0.18904624165717002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088633613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718,0.00033414192,0.0009231174,0.00064317486,0.00013614944,0.00007795463,0.000033072036,0.000006640536,0.0006657491],"genre_scores_gemma":[0.99255794,0.00047721082,0.0067528076,0.00012326286,0.000043106873,0.0000029115176,7.9716216e-7,0.00001634125,0.000025607962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988501,0.0000065577547,0.0007298285,0.00019441018,0.000016571013,0.00020254993],"domain_scores_gemma":[0.9990207,0.000053573236,0.00064470636,0.00017005284,0.000025315623,0.00008563778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009927368,0.00012782488,0.00040902576,0.00023051744,0.000042475807,0.000093391034,0.00021008505,0.00012861758,0.0000131259085],"category_scores_gemma":[0.000037725073,0.000114609604,0.00006043516,0.00008142023,0.00008962141,0.00026838595,0.000057433455,0.00043000252,0.0000025098059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106220374,0.00014807736,0.46926683,0.000015507823,0.00006765733,0.000014297715,0.00019823654,0.048693173,0.000024310302,0.47761858,0.000002396272,0.0038447212],"study_design_scores_gemma":[0.0027685526,0.0003676068,0.06780648,0.00008011341,0.00001806463,0.0002366912,0.00022228132,0.06932006,0.000081071616,0.85697424,0.0014619608,0.00066285627],"about_ca_topic_score_codex":0.000056223656,"about_ca_topic_score_gemma":0.0006190856,"teacher_disagreement_score":0.40146035,"about_ca_system_score_codex":0.000074520605,"about_ca_system_score_gemma":0.000031721178,"threshold_uncertainty_score":0.4673644},"labels":[],"label_agreement":null},{"id":"W2089197623","doi":"10.1002/yd.20030","title":"The future of young women's economic role in a globalized economy: New opportunities, persisting constraints","year":2012,"lang":"en","type":"article","venue":"New Directions for Youth Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagging; Educational attainment; Economics; Labour economics; Young adult; Economic growth; Demographic economics; Psychology; Medicine; Developmental psychology","score_opus":0.0386510088709367,"score_gpt":0.23059887334461165,"score_spread":0.19194786447367496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089197623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90733397,0.0059331474,0.002232127,0.00089120644,0.004813694,0.00085149554,0.0006227811,0.000074223564,0.077247374],"genre_scores_gemma":[0.9920498,0.00037361355,0.0025926407,0.000088794375,0.00035931417,0.00008148851,0.000056869707,0.000025406971,0.0043720724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982605,0.000021311836,0.0008899434,0.0002648035,0.00002807795,0.00053533947],"domain_scores_gemma":[0.9989836,0.000091801914,0.00042708273,0.00024046852,0.000029590517,0.00022743507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013460171,0.00018384526,0.00038119592,0.00016391174,0.00025893687,0.000078805424,0.00021428305,0.000099075056,0.00018760015],"category_scores_gemma":[0.00006574219,0.00018641764,0.00010818257,0.0001389474,0.000058291815,0.00022933168,0.00006019775,0.00010436401,0.000019806188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012540282,0.00015229285,0.21863586,0.000047421086,0.00033118503,5.1857853e-7,0.0264881,0.000056634894,0.0000017949313,0.6278361,0.00097322266,0.12535144],"study_design_scores_gemma":[0.0022594559,0.000039583872,0.04397692,0.00003702376,0.000017447594,0.0000062835716,0.023603717,0.00038192148,0.000027147864,0.038961824,0.89005023,0.000638426],"about_ca_topic_score_codex":0.00069919066,"about_ca_topic_score_gemma":0.0008438986,"teacher_disagreement_score":0.889077,"about_ca_system_score_codex":0.0010446178,"about_ca_system_score_gemma":0.000534886,"threshold_uncertainty_score":0.76018906},"labels":[],"label_agreement":null},{"id":"W2089221863","doi":"10.5539/res.v2n2p54","title":"The Impact of the European Policies on the New Skills for the New Jobs","year":2010,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); European union; Citizenship; Work (physics); Member states; Vocational education; Recession; Business; Political science; Public relations; Economics; Economic growth; Economic policy; Management; Macroeconomics","score_opus":0.048334952044012676,"score_gpt":0.31200059384714957,"score_spread":0.2636656418031369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089221863","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124568164,0.5480665,0.00023670304,0.07837602,0.002364091,0.003125163,0.0006750276,0.000044065673,0.2425443],"genre_scores_gemma":[0.67054653,0.32214013,0.000055397613,0.0017424993,0.0006739108,0.000008738722,0.0000018478476,0.000055453813,0.004775498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982607,0.0003242156,0.00088152604,0.00021315119,0.000072794115,0.0002476079],"domain_scores_gemma":[0.99618447,0.0015288406,0.00094669464,0.0011702544,0.00012591014,0.000043823133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059432522,0.00020757133,0.00050631305,0.000024040202,0.00040959986,0.000054277374,0.0011220328,0.000014488056,0.000029933726],"category_scores_gemma":[0.0041412083,0.00007671813,0.00060603576,0.00027402,0.00028936638,0.000045490804,0.0003705777,0.00023731764,0.000046936737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019791045,0.00010200799,0.0069776825,0.0006783667,0.0010970227,6.849845e-7,0.0015439586,0.000020146834,0.000040887866,0.71535504,0.20877461,0.065389775],"study_design_scores_gemma":[0.0003102847,0.00012602312,0.25716484,0.0010246707,0.00008101413,0.000001968829,0.00013031551,0.000019648149,0.000020210113,0.020708218,0.7201985,0.0002143211],"about_ca_topic_score_codex":0.00018793414,"about_ca_topic_score_gemma":0.000060250655,"teacher_disagreement_score":0.69464684,"about_ca_system_score_codex":0.000023826484,"about_ca_system_score_gemma":0.000039246897,"threshold_uncertainty_score":0.49577123},"labels":[],"label_agreement":null},{"id":"W2089543673","doi":"10.1257/app.4.2.168","title":"Productivity Spillovers Across Firms through Worker Mobility","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Productivity; Danish; Labour economics; Variety (cybernetics); Business; Economics; Demographic economics; Economic growth","score_opus":0.02128535835941265,"score_gpt":0.24827432661658133,"score_spread":0.2269889682571687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089543673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960226,0.00042193753,0.0022566842,0.00082708534,0.0023377882,0.00036693178,0.00050108513,0.00007041055,0.032992065],"genre_scores_gemma":[0.99306595,0.0009772177,0.0028592742,0.0009714855,0.0016475078,0.000048623086,0.000023669287,0.00010544344,0.00030084717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957084,0.00004544232,0.0017895114,0.0008860339,0.000039514867,0.0015310944],"domain_scores_gemma":[0.99617684,0.00015447324,0.0021551147,0.0009884402,0.000029919618,0.0004951974],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034182542,0.0005284918,0.001292285,0.00012072526,0.00044849882,0.0003416923,0.0006998367,0.00015956082,0.0006289371],"category_scores_gemma":[0.00008132527,0.00061352464,0.00041661278,0.00019790826,0.00058968854,0.0014806135,0.0002782751,0.00072882115,0.0016169398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022357567,0.0005458476,0.39002356,0.000021140808,0.00048811737,0.0000016770515,0.002396265,0.0036103018,0.00001197778,0.5807015,0.0006468936,0.021329174],"study_design_scores_gemma":[0.0022083854,0.00017721324,0.29054856,0.000012291997,0.000041663567,0.00017322243,0.0027637763,0.0007764565,0.00017194028,0.40692377,0.2938477,0.0023550263],"about_ca_topic_score_codex":0.0006824162,"about_ca_topic_score_gemma":0.00012671175,"teacher_disagreement_score":0.29320082,"about_ca_system_score_codex":0.0016709768,"about_ca_system_score_gemma":0.0000954123,"threshold_uncertainty_score":0.9996316},"labels":[],"label_agreement":null},{"id":"W2089890292","doi":"10.1142/s1084946713500283","title":"UNORGANIZED SECTOR IN INDIA: EMPLOYMENT ELASTICITY AND WAGE-PRODUCTIVITY NEXUS","year":2013,"lang":"en","type":"article","venue":"Journal of Developmental Entrepreneurship","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Wage; Labour economics; Nexus (standard); Productivity; Informal sector; Economics; Business; Secondary sector of the economy; Tertiary sector of the economy; Economic growth; Economy; Agriculture; Engineering","score_opus":0.02059954657827933,"score_gpt":0.20223653021578872,"score_spread":0.18163698363750938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089890292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967904,0.00032641314,0.00011326995,0.0005537389,0.0004619329,0.00018452402,0.000018885896,0.000009072714,0.0015417327],"genre_scores_gemma":[0.9985647,0.00008948907,0.00091560464,0.00014634947,0.00008238505,0.000006217303,0.0000027445462,0.000018577197,0.00017393599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829227,0.00006136011,0.00096844835,0.00030070255,0.00009042918,0.00028680704],"domain_scores_gemma":[0.9989343,0.00012064201,0.0005914728,0.00013142203,0.00006731086,0.00015481483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092768983,0.00017610776,0.0004657137,0.00028102018,0.000050294333,0.000107099426,0.0001948336,0.00008300692,0.0005333489],"category_scores_gemma":[0.0004534115,0.00017413175,0.00006579178,0.00027979145,0.000049728067,0.00044274505,0.00011450433,0.00029048737,0.000056923756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040016897,0.00019808458,0.99141544,0.00001877946,0.00005483703,0.000031141895,0.0006949243,0.000010002769,0.00045155245,0.0055234428,0.00005954795,0.001502251],"study_design_scores_gemma":[0.0010416686,0.000058272577,0.9573568,0.000027254902,0.000004407199,0.00006163459,0.00011102307,0.000038957758,0.0006090358,0.04024732,0.00024250674,0.00020113333],"about_ca_topic_score_codex":0.00019317781,"about_ca_topic_score_gemma":0.000034962104,"teacher_disagreement_score":0.03472388,"about_ca_system_score_codex":0.0002858202,"about_ca_system_score_gemma":0.000063483974,"threshold_uncertainty_score":0.71008873},"labels":[],"label_agreement":null},{"id":"W2091745714","doi":"10.1111/1540-5982.t01-3-00007","title":"A cross‐country comparison of the cyclicality of real wages","year":2003,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Real wages; Economics; Cross country; Labour economics; Quality (philosophy); Econometrics; Demographic economics; Wage; Census; Population","score_opus":0.11269464580244541,"score_gpt":0.22333877298575944,"score_spread":0.11064412718331403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091745714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970856,0.0060664685,0.00006392854,0.002059505,0.0075299544,0.0003315622,0.0045820987,0.000002380564,0.00850812],"genre_scores_gemma":[0.99516153,0.0013511775,0.00049741607,0.00023308306,0.0003516424,0.0000056983727,0.000013607636,0.00007146519,0.0023143569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99397683,0.00027369737,0.004131436,0.00054378354,0.0000059666604,0.0010683145],"domain_scores_gemma":[0.99158573,0.00043364038,0.0051995944,0.0011125394,0.0004366431,0.0012318575],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037318238,0.00045161715,0.002048821,0.00057433883,0.00023211737,0.00015261336,0.0012675582,0.00061155536,0.001027031],"category_scores_gemma":[0.0015241408,0.0005380661,0.00081594003,0.00042889718,0.0011380576,0.0005052571,0.000057031702,0.000833932,0.0000096382255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034678098,0.000059972816,0.41206297,0.0001917752,0.00023556953,0.000010960845,0.00088861334,0.0037926887,0.0000035000865,0.58182573,0.00013663582,0.0007569256],"study_design_scores_gemma":[0.0018979394,0.00053537136,0.16172537,0.0005316284,0.00016312225,0.00019734201,0.0008449205,0.00351244,0.0004285022,0.6999017,0.12925868,0.0010030086],"about_ca_topic_score_codex":0.37426832,"about_ca_topic_score_gemma":0.944178,"teacher_disagreement_score":0.56990963,"about_ca_system_score_codex":0.0025650475,"about_ca_system_score_gemma":0.0029436045,"threshold_uncertainty_score":0.99988616},"labels":[],"label_agreement":null},{"id":"W2092480833","doi":"10.5539/ass.v4n12p92","title":"Wage Productivity and Wage Income Differential in Labor Market: Evidence from RMG Sector in Bangladesh","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Industrialisation; Labour economics; Context (archaeology); Productivity; Economics; Secondary labor market; Efficiency wage; Rationality; Informal sector; Split labor market theory; Labor relations; Market economy; Economic growth","score_opus":0.019275667072552505,"score_gpt":0.24353083207357323,"score_spread":0.22425516500102072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092480833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776548,0.00022599575,0.00008694754,0.0027050844,0.00028906448,0.00023398745,0.00017566474,0.000021357571,0.018607061],"genre_scores_gemma":[0.9993568,0.000054607037,0.0001515998,0.00012374927,0.00018484761,0.00000962434,0.0000031889997,0.000008622626,0.00010695639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805063,0.000075802825,0.00047737992,0.0007856623,0.00012459494,0.00048590527],"domain_scores_gemma":[0.99932104,0.0000707658,0.00020406261,0.00027064077,0.00003200112,0.0001014801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015731436,0.00016866106,0.00039345134,0.00025720824,0.00018685737,0.00020644406,0.0004504304,0.00011032485,0.00017864867],"category_scores_gemma":[0.00055814284,0.00018712359,0.000045217676,0.0013239104,0.0003096907,0.0008609891,0.00013668911,0.00026964903,0.0000107385595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007846777,0.00022920992,0.84962916,0.000017558188,0.000006104937,0.00002892002,0.005566428,3.9675515e-7,0.0018228901,0.08312685,0.000024743573,0.05946925],"study_design_scores_gemma":[0.00031300378,0.000029337421,0.9340483,0.00003384506,0.0000013463401,3.616774e-7,0.00008712168,0.0002271183,0.000041043688,0.06489197,0.00009963231,0.00022694032],"about_ca_topic_score_codex":0.0013929115,"about_ca_topic_score_gemma":0.00141325,"teacher_disagreement_score":0.084419094,"about_ca_system_score_codex":0.00029852934,"about_ca_system_score_gemma":0.00006857995,"threshold_uncertainty_score":0.76306784},"labels":[],"label_agreement":null},{"id":"W2092494375","doi":"10.1080/00036840600949330","title":"Evidence on the dynamics of unemployment by gender","year":2008,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Unit root; Economics; Persistence (discontinuity); Hysteresis; Natural rate of unemployment; Empirical evidence; Demographic economics; Unit (ring theory); Dynamics (music); Labour economics; Unemployment rate; Econometrics; Macroeconomics; Psychology","score_opus":0.07718675514984415,"score_gpt":0.22224167075709175,"score_spread":0.1450549156072476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092494375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541131,0.0003109646,0.0019073156,0.0013311311,0.00021004134,0.00028354465,0.00041945343,0.000023721519,0.041400727],"genre_scores_gemma":[0.99630314,0.001859251,0.0002012502,0.0010006214,0.000045899786,0.00004636034,0.00003352733,0.00003326529,0.00047669202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847776,0.000013797134,0.0007685991,0.00042331102,0.000033109976,0.00028340847],"domain_scores_gemma":[0.9984095,0.00030171205,0.00049414043,0.00070587726,0.000020431557,0.000068324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759266,0.0001929407,0.00040163402,0.00007049911,0.00014408695,0.00002705448,0.00046510663,0.00010521866,0.00028322174],"category_scores_gemma":[0.00006014337,0.0001811851,0.00011944082,0.0001272386,0.00015580913,0.00008984491,0.00009933619,0.00017209921,0.0002268684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029783652,0.00007944117,0.013544909,0.000010970447,0.000052638334,3.7641217e-7,0.00017289324,0.00049644604,0.000011326066,0.98436344,0.00092735095,0.00031039998],"study_design_scores_gemma":[0.0010532478,0.00015805023,0.025228713,0.000027213706,0.000018811577,0.0000074728414,0.0002761239,0.021356707,0.0010377113,0.93755764,0.012213737,0.0010645638],"about_ca_topic_score_codex":0.00011546197,"about_ca_topic_score_gemma":0.000023611921,"teacher_disagreement_score":0.046805818,"about_ca_system_score_codex":0.0002449262,"about_ca_system_score_gemma":0.000030090358,"threshold_uncertainty_score":0.73885137},"labels":[],"label_agreement":null},{"id":"W2093157579","doi":"10.4236/ti.2010.12011","title":"Low and Highly Skilled Labor Immigration and Wage Inequality","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage inequality; Economics; Immigration; Inequality; Labour economics; Globalization; Wage; Capital (architecture); Economic inequality; Market economy; Political science","score_opus":0.008265469649809126,"score_gpt":0.20830187848913642,"score_spread":0.2000364088393273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093157579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925293,0.0009982341,0.00012679957,0.004596357,0.00016086192,0.00017065128,0.000093709445,0.00007317925,0.0012509142],"genre_scores_gemma":[0.9970518,0.000534727,0.0010996158,0.0010225555,0.00002412117,0.000029618224,0.000012911115,0.000009283908,0.00021539586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910915,0.000011975849,0.0003334499,0.00035109706,0.000019126344,0.00017518751],"domain_scores_gemma":[0.99946856,0.000032023196,0.00014952892,0.0002598488,0.000022714843,0.00006732779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005214438,0.0001299985,0.00026126715,0.00022318719,0.00012088329,0.000041424937,0.00007451301,0.00025441838,0.000036404013],"category_scores_gemma":[0.00012385071,0.00012802945,0.000015657703,0.00019309946,0.00028049317,0.00012395541,0.0001123315,0.00023987982,0.000008345714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067716996,0.000045055673,0.109586224,0.000021125956,0.000016745387,0.0000019001775,0.00011305414,5.4272455e-8,0.0006013423,0.887596,0.000017463271,0.0019942545],"study_design_scores_gemma":[0.0006788886,0.0001102549,0.16394494,0.000009228755,0.0000067864225,0.000008545857,0.0000696479,0.000692356,0.00089423166,0.8235277,0.009829883,0.0002275147],"about_ca_topic_score_codex":0.00010938223,"about_ca_topic_score_gemma":0.00015929402,"teacher_disagreement_score":0.06406828,"about_ca_system_score_codex":0.0000139669555,"about_ca_system_score_gemma":0.000008326575,"threshold_uncertainty_score":0.52208894},"labels":[],"label_agreement":null},{"id":"W2093188721","doi":"","title":"The Disintegrating Canadian Labour Market? The Extent of the Market Then and Now","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Calgary","funders":"","keywords":"Unemployment; Economics; Labour economics; Market integration; Real wages; Macroeconomics","score_opus":0.006480661660932383,"score_gpt":0.19073428667223072,"score_spread":0.18425362501129833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093188721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359465,0.011649044,0.0010628849,0.029822815,0.0005992715,0.0002917284,0.00012095877,0.0000073826,0.02049941],"genre_scores_gemma":[0.9875127,0.008115042,0.000026398064,0.0003078411,0.00011591392,0.000005403768,5.5058297e-7,0.00001825298,0.0038978616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979117,0.0001001145,0.0005127898,0.00018104744,0.000077067154,0.001217312],"domain_scores_gemma":[0.9988951,0.00015358323,0.00042395553,0.00037974206,0.00006203875,0.00008557112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006123504,0.00014432134,0.00019853665,0.000055162658,0.00087064237,0.00018688513,0.0006255061,0.00006136136,0.00005994413],"category_scores_gemma":[0.00032378914,0.000073849544,0.00014039062,0.00022500684,0.00014700835,0.00010113168,0.00007189796,0.0011217067,0.000003988329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018093082,0.000013392607,0.02196161,0.0000037220111,0.000094833675,7.3665683e-7,0.00018467667,0.000018691031,0.0000033958313,0.9737844,0.00009215112,0.0038243132],"study_design_scores_gemma":[0.00032579756,0.00004200507,0.09530414,0.000019133025,0.000009240707,0.000067808105,0.0009920229,0.0003229202,0.000003854423,0.8897443,0.013054923,0.0001138861],"about_ca_topic_score_codex":0.026048392,"about_ca_topic_score_gemma":0.3403174,"teacher_disagreement_score":0.314269,"about_ca_system_score_codex":0.00081382826,"about_ca_system_score_gemma":0.0009844392,"threshold_uncertainty_score":0.9804372},"labels":[],"label_agreement":null},{"id":"W2093450547","doi":"10.2190/wr.14.2.e","title":"Are Less-Educated Women in the Blind Spot of Pay Equity?","year":2009,"lang":"en","type":"article","venue":"Journal of Workplace Rights","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Equity (law); Pay Equity; Blind spot; Economics; Gender equity; Demographic economics; Econometrics; Labour economics; Psychology; Political science; Law","score_opus":0.039786923080256185,"score_gpt":0.2769124259947525,"score_spread":0.23712550291449633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093450547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891508,0.0005621553,0.000109590226,0.0034124327,0.00036458232,0.00009555538,0.000024988349,0.0000029961798,0.0062769023],"genre_scores_gemma":[0.99863374,0.00012222063,0.000112979265,0.000307049,0.00018337372,0.0000013698952,0.0000012602485,0.000006653061,0.0006313239],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823934,0.00007755524,0.0011012651,0.00014622638,0.00010688842,0.00032871726],"domain_scores_gemma":[0.9975894,0.0001557298,0.0017964852,0.00027273592,0.00009459751,0.00009103887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038361463,0.00013005178,0.00056106504,0.0002972835,0.000058218164,0.000068043075,0.0005262615,0.00010137164,0.00012369173],"category_scores_gemma":[0.00016612827,0.00007874797,0.00013790316,0.00052745413,0.000041707095,0.00022159856,0.000027181295,0.00040104796,0.000009179957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022657833,0.0040526385,0.31293067,0.00015865212,0.00037460585,0.00049836823,0.015323597,0.0012169238,0.000081058846,0.65018034,0.0047519375,0.008165434],"study_design_scores_gemma":[0.0015842606,0.00020141806,0.2954924,0.00011476783,0.000008619368,0.000029238572,0.0006440432,0.00013914426,0.000034620625,0.69123733,0.010316242,0.00019793674],"about_ca_topic_score_codex":0.000045903216,"about_ca_topic_score_gemma":0.000072635696,"teacher_disagreement_score":0.04105699,"about_ca_system_score_codex":0.00020045193,"about_ca_system_score_gemma":0.00004378913,"threshold_uncertainty_score":0.3211249},"labels":[],"label_agreement":null},{"id":"W2094365310","doi":"10.1016/s0927-5371(99)00028-7","title":"Matching and competition for human capital","year":2000,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Matching (statistics); Competition (biology); Economics; Labour economics; Human capital; Capital (architecture); Market economy; Mathematics; Biology; Geography","score_opus":0.01619185013370223,"score_gpt":0.21754459188307235,"score_spread":0.20135274174937012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094365310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890054,0.00014408398,0.0008486792,0.00041004695,0.00017043225,0.00018946275,0.0009754319,0.000034705416,0.008221766],"genre_scores_gemma":[0.99579716,0.0003203951,0.0011644962,0.00047175758,0.0001618513,0.00002500354,0.00008218927,0.000028317878,0.0019488339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989697,0.000007461347,0.0004490579,0.0003348665,0.000007699387,0.00023126381],"domain_scores_gemma":[0.9995142,0.00004330413,0.0001485359,0.00020685045,0.000014117962,0.00007297052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042243884,0.00012777108,0.0002889642,0.00006164256,0.00017640267,0.00014313888,0.000117963,0.00008320506,0.000820478],"category_scores_gemma":[0.000007815573,0.0001658152,0.00007086168,0.000037255177,0.00003977634,0.00022024666,0.000024545305,0.000077357705,0.00009152593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011521388,0.000027272325,0.005055783,0.000026037716,0.000020772673,3.8773481e-7,0.00024355153,0.00010942876,0.000008329137,0.9931499,9.068388e-7,0.0013461085],"study_design_scores_gemma":[0.0005590016,0.00003609535,0.011337688,0.0000047285384,0.0000028814072,0.0000027138287,0.00004683712,0.000112108886,0.000008483367,0.96892387,0.018748075,0.00021753328],"about_ca_topic_score_codex":0.0005285085,"about_ca_topic_score_gemma":0.00028451247,"teacher_disagreement_score":0.024226047,"about_ca_system_score_codex":0.00006742209,"about_ca_system_score_gemma":0.000007144326,"threshold_uncertainty_score":0.8983659},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2094739616","doi":"10.1007/s12122-012-9149-6","title":"Learning and the Form of Compensation","year":2012,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Productivity; Wage; Economics; Labour economics; Compensation (psychology); Ex-ante; Payment; Educational attainment; Set (abstract data type); Empirical evidence; Commission; Macroeconomics","score_opus":0.08026559274332715,"score_gpt":0.34457817450929173,"score_spread":0.2643125817659646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094739616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902801,0.003052958,0.00018871528,0.0015806376,0.00012377895,0.0000686469,0.000010099835,0.0000011620048,0.0046939244],"genre_scores_gemma":[0.9981541,0.0011977493,0.00022801622,0.000023923265,0.00013919656,0.0000011155336,5.1124795e-7,0.000005999794,0.00024936267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990162,0.00014086631,0.0004984967,0.000049713515,0.00010932992,0.00018538148],"domain_scores_gemma":[0.9986167,0.00053195783,0.00041243262,0.000085380285,0.00029291582,0.000060634065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013041542,0.000039658375,0.00022943248,0.0001733189,0.00009178123,0.000037013513,0.00013183367,0.000035178615,0.00007975279],"category_scores_gemma":[0.0012092784,0.000027272023,0.000051521878,0.00025952293,0.00014459969,0.00021880456,0.000060336788,0.00038431014,0.000006258836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012309072,0.00004037766,0.32508066,0.000024775398,0.000031674517,6.645086e-7,0.0015438556,0.000003791716,0.000043168217,0.6716986,0.000042697135,0.0013666757],"study_design_scores_gemma":[0.0033382378,0.0003399922,0.5273728,0.000054679946,0.000009999192,0.00003038109,0.0016158093,0.002027836,0.0001640735,0.41318756,0.05171711,0.0001415811],"about_ca_topic_score_codex":0.00007824473,"about_ca_topic_score_gemma":0.000005137865,"teacher_disagreement_score":0.258511,"about_ca_system_score_codex":0.000039788614,"about_ca_system_score_gemma":0.000020897782,"threshold_uncertainty_score":0.45199642},"labels":[],"label_agreement":null},{"id":"W2095766657","doi":"10.7202/602301ar","title":"Comment lutter contre le chômage lorsque les travailleurs sont hétérogènes?","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.036044925553483154,"score_gpt":0.22544910468974916,"score_spread":0.189404179136266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095766657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6863943,0.01170466,0.007006539,0.25603932,0.0028027748,0.0010122309,0.0020578173,0.000143311,0.032839097],"genre_scores_gemma":[0.9402789,0.0035660195,0.001454816,0.02918742,0.0008491002,0.00006083849,0.00018404292,0.000103590915,0.02431529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946539,0.0003276242,0.002169311,0.0013177285,0.00006027153,0.0014712106],"domain_scores_gemma":[0.9966313,0.00042758937,0.0010940507,0.001247705,0.00012218217,0.00047715],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002497878,0.0008104095,0.0015995267,0.0002934334,0.00038169415,0.0005434264,0.0008256935,0.0008396107,0.0019908238],"category_scores_gemma":[0.0003040009,0.0010316935,0.00066610123,0.0002801459,0.0003124046,0.0007828367,0.00016061465,0.0008418096,0.0005825583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012006441,0.0009178482,0.010256202,0.00012674397,0.00024007793,0.000053273405,0.0014592475,0.00012465658,0.000025256428,0.9376852,0.009711451,0.039279986],"study_design_scores_gemma":[0.0025410284,0.000361723,0.03239056,0.00015795772,0.000044791435,0.000022188842,0.0005558478,0.0038878547,0.00021746932,0.22586475,0.73256487,0.0013909729],"about_ca_topic_score_codex":0.008828162,"about_ca_topic_score_gemma":0.0015704691,"teacher_disagreement_score":0.7228534,"about_ca_system_score_codex":0.0008282542,"about_ca_system_score_gemma":0.00017598624,"threshold_uncertainty_score":0.99921334},"labels":[],"label_agreement":null},{"id":"W2097274617","doi":"10.1002/jae.2296","title":"TIME VARIATION IN THE DYNAMICS OF WORKER FLOWS: EVIDENCE FROM NORTH AMERICA AND EUROPE","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autoregressive model; Economics; Econometrics; Impulse response; Business cycle; Vector autoregression; Variation (astronomy); Demographic economics; Macroeconomics; Mathematics","score_opus":0.027307999075185205,"score_gpt":0.21034117375592323,"score_spread":0.18303317468073804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097274617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98813695,0.002084976,0.0054571712,0.00029731184,0.0002316841,0.0001229565,0.00015414912,0.0000031029244,0.003511685],"genre_scores_gemma":[0.99503654,0.0019522256,0.002614721,0.00017846702,0.00016612571,0.000002983845,0.000011233237,0.000015519725,0.000022197944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828553,0.000036630197,0.0011985193,0.0001723104,0.00007731335,0.00022971845],"domain_scores_gemma":[0.9973288,0.0007581566,0.0014879567,0.0002693978,0.00007018399,0.000085469495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021224115,0.00013542426,0.0005186811,0.0006330805,0.000037302805,0.00006356403,0.000366484,0.00007512889,0.00015723778],"category_scores_gemma":[0.00052324357,0.00011700776,0.00007941415,0.0015122659,0.00005448202,0.00046629243,0.000071000664,0.00027210664,0.0000524334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002605299,0.0006490972,0.891682,0.00006185707,0.00024089293,0.0000060653774,0.0063438937,0.004111141,0.000033828936,0.07793994,0.00020998208,0.018460728],"study_design_scores_gemma":[0.0004938391,0.00008350234,0.9563354,0.000023741888,0.000028237777,0.000003964116,0.00020514753,0.02517215,0.0000017469218,0.014329134,0.0031032518,0.00021983168],"about_ca_topic_score_codex":0.0000850033,"about_ca_topic_score_gemma":0.000025932584,"teacher_disagreement_score":0.06465341,"about_ca_system_score_codex":0.00013534815,"about_ca_system_score_gemma":0.000024073039,"threshold_uncertainty_score":0.4771438},"labels":[],"label_agreement":null},{"id":"W2097480274","doi":"10.7202/029184ar","title":"Collective Bargaining in Provincial Public Administration","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Simon Fraser University","funders":"Princeton University","keywords":"Collective bargaining; Public sector; Private sector; Economics; Inflation (cosmology); Labour economics; Administration (probate law); Inflation rate; Monetary economics; Political science; Economy; Interest rate; Economic growth","score_opus":0.04256807786872344,"score_gpt":0.24204094466190237,"score_spread":0.19947286679317894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097480274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79587764,0.00025437603,0.0028523558,0.005736339,0.00011347597,0.0002713268,0.00013803664,0.000042930908,0.19471353],"genre_scores_gemma":[0.9951221,0.000016399184,0.0007485197,0.00008532382,0.00015026318,0.00003286167,0.00004316324,0.00001232252,0.0037890712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892104,0.000030954707,0.00054782163,0.00025575637,0.00003681027,0.0002075907],"domain_scores_gemma":[0.99943465,0.00010099914,0.00020078772,0.00016811561,0.000039743267,0.000055687844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335992,0.00009773825,0.00017338501,0.00028711115,0.00014657468,0.000085644766,0.00010941739,0.00021168354,0.00038143253],"category_scores_gemma":[0.0005809552,0.00012136952,0.000041815932,0.00067289843,0.00003421909,0.00037391868,0.000029462532,0.0002985647,0.00015766466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008680829,0.00010646564,0.20898406,5.137352e-7,0.0000118793,0.0000016986002,0.0004593289,0.000216365,0.0000015232456,0.78576654,0.00021397258,0.00422898],"study_design_scores_gemma":[0.002657731,0.00021037398,0.2603056,0.000041509036,0.000011012996,0.000009842837,0.0009549598,0.063073814,0.00009327557,0.3759468,0.29567403,0.0010210535],"about_ca_topic_score_codex":0.00006663344,"about_ca_topic_score_gemma":0.00054366543,"teacher_disagreement_score":0.40981975,"about_ca_system_score_codex":0.000548561,"about_ca_system_score_gemma":0.00041280058,"threshold_uncertainty_score":0.49493054},"labels":[],"label_agreement":null},{"id":"W2098834882","doi":"10.1111/j.0020-6598.2004.00299.x","title":"THE PRICING OF JOB CHARACTERISTICS WHEN MARKETS DO NOT CLEAR: THEORY AND POLICY IMPLICATIONS*","year":2004,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Unemployment; Economics; Welfare; Pareto principle; Labour economics; Minimum wage; Wage; Labor market segmentation; Homogeneous; Distribution (mathematics); Market segmentation; General equilibrium theory; Microeconomics; Market economy; Macroeconomics","score_opus":0.02157937227639946,"score_gpt":0.2759615490595298,"score_spread":0.25438217678313035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098834882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7324094,0.06470928,0.0041459813,0.087211356,0.0018727613,0.0013265101,0.0026735056,0.000057869922,0.10559332],"genre_scores_gemma":[0.8794667,0.11806637,0.0002327387,0.0016031754,0.00015526041,0.000030387775,0.000020686502,0.000016308797,0.0004083695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859446,0.000038075603,0.0009423273,0.0002568593,0.000026759426,0.00014153364],"domain_scores_gemma":[0.9986031,0.00026568532,0.0006750442,0.00035604325,0.000051939,0.000048174483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022716082,0.00011520817,0.00033729905,0.000083284736,0.00008414329,0.00009127998,0.0003975398,0.00004104404,0.00015223923],"category_scores_gemma":[0.0006091831,0.00010246853,0.00010744898,0.00004842016,0.00008996077,0.00015140213,0.00012356612,0.000094644,0.000089491645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020981179,0.000012259696,0.0065476066,0.000093610324,0.00006287649,2.4153056e-7,0.000038580634,0.0000028168784,0.0000030986166,0.9709998,0.00006446866,0.022153698],"study_design_scores_gemma":[0.000275541,0.0000150281285,0.17021638,0.0002455644,0.000009584922,0.000011362256,0.00000690032,0.00007274415,0.000005304872,0.7065091,0.122480325,0.00015215378],"about_ca_topic_score_codex":0.00013713681,"about_ca_topic_score_gemma":0.00001048542,"teacher_disagreement_score":0.26449063,"about_ca_system_score_codex":0.00025305199,"about_ca_system_score_gemma":0.000062895415,"threshold_uncertainty_score":0.41785455},"labels":[],"label_agreement":null},{"id":"W2099509568","doi":"10.1093/oep/gpm011","title":"Skill heterogeneity and equilibrium unemployment","year":2007,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Labour economics; Wage; Quarter (Canadian coin); General equilibrium theory; Aggregate demand; Macroeconomics; Monetary policy; Geography","score_opus":0.019105730654152768,"score_gpt":0.23785036685696384,"score_spread":0.21874463620281107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099509568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8850273,0.00042007508,0.00021494881,0.0005045414,0.0005823269,0.00014897957,0.00016529945,0.000049353846,0.112887196],"genre_scores_gemma":[0.99745405,0.00036593416,0.00041697212,0.0007466336,0.0001328031,0.000008511195,0.000020818645,0.00003289701,0.00082136143],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982228,0.000010355913,0.0007115194,0.0005464818,0.00002183956,0.00048699335],"domain_scores_gemma":[0.9990651,0.000077109966,0.00025983874,0.0003879635,0.000007807599,0.00020218812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013012233,0.00020848004,0.0003887628,0.00012343803,0.00008266639,0.000081619284,0.00019648517,0.00011879247,0.0003169026],"category_scores_gemma":[0.000034242228,0.0002456999,0.00011950374,0.00006099895,0.000088971414,0.00019266659,0.00012941747,0.00011525453,0.00012333487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000613661,0.00006508907,0.5874616,0.000031174015,0.00012881673,0.00001006468,0.00017811863,0.00011755723,0.0001513706,0.4068469,0.00015754807,0.00479036],"study_design_scores_gemma":[0.0018807515,0.00014051056,0.43589288,0.000015344669,0.000017060978,0.000023639168,0.00015114059,0.0031387107,0.00045439755,0.07727574,0.4798218,0.0011880312],"about_ca_topic_score_codex":0.00015299216,"about_ca_topic_score_gemma":0.0005169035,"teacher_disagreement_score":0.47966424,"about_ca_system_score_codex":0.00026672796,"about_ca_system_score_gemma":0.000016402191,"threshold_uncertainty_score":0.9999995},"labels":[],"label_agreement":null},{"id":"W2099562476","doi":"10.47678/cjhe.v34i2.183458","title":"The Relationship Between Postsecondary Education and Skill: Comparing Credentialism with Human Capital Theory","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Underemployment; Credential; Human capital; Human capital theory; Earnings; Postsecondary education; Productivity; Empirical research; Higher education; Labour economics; Economics; Sociology; Public relations; Economic growth; Political science; Unemployment; Accounting","score_opus":0.02653249686540325,"score_gpt":0.2585256421208013,"score_spread":0.23199314525539805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099562476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874093,0.0054881135,0.0001273816,0.0020453709,0.0010660639,0.00008353557,0.000020141339,0.0000029270038,0.0037571979],"genre_scores_gemma":[0.9971748,0.000011208003,0.00016666844,0.00019819838,0.00041019323,0.000003997195,0.00002455071,0.00001465822,0.0019957197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992173,0.000035592166,0.00043194395,0.00011812138,0.00003474373,0.00016234817],"domain_scores_gemma":[0.9989369,0.00009914599,0.00044216734,0.00015892407,0.0001185394,0.00024431373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006775039,0.00008730941,0.00015670554,0.00020895449,0.00043464935,0.00023415429,0.00015907068,0.000054632193,0.00006256921],"category_scores_gemma":[0.0000798299,0.000075815304,0.000037578004,0.0001245158,0.00010060408,0.00029486849,0.0000064549013,0.00020494084,0.000007721131],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022163886,0.000012941142,0.4807183,0.0000049554806,0.000015744163,5.359266e-7,0.0005404481,0.0000042527518,3.4367076e-7,0.5183961,0.000101786136,0.00020234378],"study_design_scores_gemma":[0.00013273937,0.000023929222,0.5779876,0.000025967427,0.000009077019,0.000014220457,0.00023082293,1.2351337e-7,8.9432314e-7,0.4171019,0.0044095553,0.00006317304],"about_ca_topic_score_codex":0.0057930714,"about_ca_topic_score_gemma":0.0054326304,"teacher_disagreement_score":0.10129421,"about_ca_system_score_codex":0.00032486243,"about_ca_system_score_gemma":0.0011225002,"threshold_uncertainty_score":0.875743},"labels":[],"label_agreement":null},{"id":"W2099646768","doi":"10.1007/s11135-008-9185-8","title":"Wage mobility in Europe. A comparative analysis using restricted multinomial logit regression","year":2008,"lang":"en","type":"article","venue":"Quality & Quantity","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for International Peace and Security","funders":"","keywords":"Wage; Multinomial logistic regression; Economics; Context (archaeology); Probit; Labor mobility; Wage bargaining; Econometrics; Logit; Multinomial probit; Labour economics; Probit model; Demographic economics; Geography","score_opus":0.20259680169273778,"score_gpt":0.35086462027236515,"score_spread":0.14826781857962737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099646768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910226,0.0002716256,0.0046232203,0.00008905382,0.0002333028,0.0003258017,0.0006099293,0.00007191971,0.002752581],"genre_scores_gemma":[0.99778503,0.00014148669,0.0016692078,0.00010058098,0.000057231537,0.000009821502,0.00010128878,0.000014941396,0.00012042015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959968,0.000607308,0.0018157719,0.000951044,0.00013678063,0.0004923301],"domain_scores_gemma":[0.99746126,0.00033290318,0.0009194641,0.0009292492,0.00020984233,0.00014727745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027746311,0.00031026494,0.0013453349,0.00053259596,0.00028383927,0.00006976704,0.00039824197,0.00021175182,0.00018410478],"category_scores_gemma":[0.0011879537,0.0003235783,0.0003126069,0.0034287802,0.00024290515,0.00039155022,0.0001921131,0.00044888278,0.000079887235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017626812,0.0006826403,0.9383691,0.000028621644,0.00015195514,0.00003248311,0.00093210145,0.0011504976,0.00016406103,0.05824713,0.000027369651,0.000037794],"study_design_scores_gemma":[0.00084034813,0.000037267564,0.95509434,0.000012702856,0.000029134288,0.0000017789149,0.00009335099,0.039724525,0.00005622942,0.0032639566,0.0004170993,0.0004292538],"about_ca_topic_score_codex":0.023341553,"about_ca_topic_score_gemma":0.0035545381,"teacher_disagreement_score":0.054983173,"about_ca_system_score_codex":0.00031704892,"about_ca_system_score_gemma":0.000085033076,"threshold_uncertainty_score":0.9999216},"labels":[],"label_agreement":null},{"id":"W2099933694","doi":"10.2139/ssrn.3896686","title":"Convergence Across Castes","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; Simon Fraser University; University of British Columbia","funders":"","keywords":"Disadvantaged; Convergence (economics); Economics; Wage; Caste; Demographic economics; Consumption (sociology); Labour economics; Affirmative action; Economic growth; Political science; Sociology","score_opus":0.017160279001073243,"score_gpt":0.24312258391406671,"score_spread":0.22596230491299346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099933694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96292835,0.01547194,0.013978505,0.0014970283,0.00087170803,0.00004395968,0.00008232169,0.00002131495,0.0051048477],"genre_scores_gemma":[0.9832773,0.010328625,0.00011343175,0.00025138276,0.0002061512,0.0000023670393,0.000007797509,0.00001983959,0.005793081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973127,0.000033226792,0.0005124699,0.0002836589,0.000050098315,0.0018078261],"domain_scores_gemma":[0.9992589,0.00003896137,0.00026575377,0.00024949375,0.000100605146,0.00008631174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367385,0.00012566223,0.0002703377,0.00004039414,0.00021433551,0.00013040354,0.00023800002,0.000078460034,0.0004257302],"category_scores_gemma":[0.0002137677,0.00013959466,0.00015119121,0.00025745734,0.00003704945,0.00020820844,0.000070881535,0.0009798827,0.00024042933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008403496,0.000044892055,0.056653365,0.0000052514656,0.00008894062,0.000020989404,0.0001246361,0.000014181532,0.000038091595,0.94124264,0.000040123432,0.0017185175],"study_design_scores_gemma":[0.0004239443,0.000048740672,0.006263855,0.000005972455,0.000003737936,0.00036252927,0.00075670937,0.0003176684,0.000056853347,0.97931504,0.0122318445,0.0002130748],"about_ca_topic_score_codex":0.000127014,"about_ca_topic_score_gemma":0.0009002742,"teacher_disagreement_score":0.05038951,"about_ca_system_score_codex":0.00053435174,"about_ca_system_score_gemma":0.00055135397,"threshold_uncertainty_score":0.5692505},"labels":[],"label_agreement":null},{"id":"W2100471018","doi":"10.1111/j.1467-9914.2011.00538.x","title":"Employability of Young Italian Men after a Jobless Period, 1989–98","year":2011,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Employability; Demographic economics; Period (music); Economics; Wage; Labour economics; Demography; Sociology; Economic growth; Art","score_opus":0.02498946140185918,"score_gpt":0.2126475014381217,"score_spread":0.18765804003626252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100471018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93716604,0.00034316917,0.0003203165,0.00012027096,0.00030321162,0.00015410893,0.00075350766,0.000030240184,0.060809147],"genre_scores_gemma":[0.99601054,0.000045509627,0.0008819543,0.000100598634,0.000053090225,0.00003566534,0.000008110829,0.000025925297,0.0028386037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854094,0.00003360685,0.00068398786,0.00038883238,0.00004937191,0.0003032347],"domain_scores_gemma":[0.9989252,0.000017996923,0.00028519216,0.0005958247,0.000079459234,0.00009631223],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008540632,0.0001621465,0.00044416878,0.00009357135,0.000047210404,0.000035501267,0.0002811779,0.000116267925,0.00341249],"category_scores_gemma":[0.00009907208,0.00017261393,0.00014418355,0.0002299599,0.000088192995,0.00018719984,0.00010668891,0.000121434576,0.00014678722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005101595,0.00011990279,0.70748216,0.00006169106,0.000037360755,0.0000072602006,0.001329108,4.772419e-7,0.000011290293,0.29074776,0.000030643696,0.00012131941],"study_design_scores_gemma":[0.00031839404,0.00004749636,0.8559869,0.000011187022,0.0000059519516,0.0000019699837,0.000090674155,0.00007614219,0.00006515141,0.14063337,0.0025320798,0.0002306736],"about_ca_topic_score_codex":0.0041423053,"about_ca_topic_score_gemma":0.0004880179,"teacher_disagreement_score":0.15011439,"about_ca_system_score_codex":0.00006494277,"about_ca_system_score_gemma":0.000021493126,"threshold_uncertainty_score":0.9974985},"labels":[],"label_agreement":null},{"id":"W2100849329","doi":"10.1111/j.1467-8543.2009.00740.x","title":"Immigration, Ethnic Wage Differentials and Output Pay in Canada","year":2009,"lang":"en","type":"article","venue":"British Journal of Industrial Relations","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Wage; Ethnic group; Differential (mechanical device); Immigration; Demographic economics; Economics; Labour economics; Work (physics); Political science; Law","score_opus":0.04147302883423695,"score_gpt":0.22613491261915045,"score_spread":0.1846618837849135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100849329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934968,0.0017646293,0.0006833218,0.0022222027,0.00048578912,0.00009319096,0.00016556596,0.0000026289872,0.001085868],"genre_scores_gemma":[0.9985098,0.0007973527,0.000082186525,0.000118859054,0.00018068211,9.087484e-7,0.000009760485,0.0000058428723,0.00029460576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858904,0.000052329866,0.0010219688,0.00012224905,0.00006191321,0.00015250029],"domain_scores_gemma":[0.9990985,0.000111321824,0.00055313477,0.00007741065,0.00006666474,0.00009299359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083452306,0.000075094365,0.0003136933,0.00013278435,0.00007091797,0.00008018663,0.000103154256,0.000110474735,0.00011225882],"category_scores_gemma":[0.00064445275,0.000083991916,0.000055451997,0.00021263568,0.000015464946,0.00023606142,0.0000123103155,0.00047915467,0.0000025169186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006203173,0.00019492154,0.6729467,0.0000042971155,0.000089962574,0.00024355651,0.00029724868,0.0006139569,0.0000113838205,0.06859695,0.006249692,0.25068933],"study_design_scores_gemma":[0.0014179951,0.000051762112,0.94438833,0.00008627275,0.000009055647,0.000079040445,0.00008276716,0.00043334402,0.0000029140524,0.050521787,0.00277202,0.00015473842],"about_ca_topic_score_codex":0.32325932,"about_ca_topic_score_gemma":0.525805,"teacher_disagreement_score":0.27144164,"about_ca_system_score_codex":0.000284538,"about_ca_system_score_gemma":0.00032660598,"threshold_uncertainty_score":0.6812471},"labels":[],"label_agreement":null},{"id":"W2101318105","doi":"10.1111/j.1465-7295.2009.00220.x","title":"DOES RAIDING EXPLAIN THE NEGATIVE RETURNS TO FACULTY SENIORITY?","year":2010,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seniority; Monopsony; Economics; Productivity; Quarter (Canadian coin); Demographic economics; Quality (philosophy); Labour economics; Political science; Law; Economic growth","score_opus":0.041717769071243006,"score_gpt":0.2775459435351934,"score_spread":0.2358281744639504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101318105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717289,0.00001596197,0.0006391858,0.0048548444,0.0102641,0.00034811723,0.00071885344,0.00006116884,0.011368833],"genre_scores_gemma":[0.9936611,0.000018671224,0.0012325007,0.0011587894,0.0020980188,0.000060055445,0.000029225472,0.000036051744,0.00170561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813575,0.00004557274,0.00072173757,0.00062639255,0.000030729927,0.00043981615],"domain_scores_gemma":[0.99848515,0.00023259025,0.00033470115,0.00076175353,0.000029180534,0.00015661986],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022743999,0.00023520533,0.0004127648,0.00013095872,0.0002912472,0.00022773817,0.0005692046,0.000161787,0.00090337626],"category_scores_gemma":[0.00037546968,0.00016262716,0.0001625726,0.00012892981,0.00014797274,0.0003491561,0.00021773802,0.00047120545,0.0013009217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035704583,0.000047599806,0.034786575,0.000016167776,0.000099521625,0.0000053180866,0.011045601,0.00010498033,0.0001799129,0.9476174,0.004307309,0.0017538737],"study_design_scores_gemma":[0.0012492026,0.00008750871,0.124478914,0.000019680976,0.000015024344,0.00001047574,0.0037325523,0.004539007,0.00096209586,0.5414482,0.32211667,0.0013406912],"about_ca_topic_score_codex":0.00052901835,"about_ca_topic_score_gemma":0.0013500531,"teacher_disagreement_score":0.40616927,"about_ca_system_score_codex":0.00017464337,"about_ca_system_score_gemma":0.0000375714,"threshold_uncertainty_score":0.9994767},"labels":[],"label_agreement":null},{"id":"W2101617919","doi":"10.1111/caje.12135","title":"Glass ceilings or glass doors? The role of firms in male‐female wage disparities","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"","keywords":"Glass ceiling; Doors; Labour economics; Wage; Demographic economics; Ceiling (cloud); Economics; Sorting; Business; Economic growth; Engineering","score_opus":0.10802136836082155,"score_gpt":0.19035799204927759,"score_spread":0.08233662368845604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101617919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888598,0.0015064721,0.000027515624,0.0020681187,0.0013422376,0.00026809642,0.00091841264,0.000003919125,0.0050054584],"genre_scores_gemma":[0.9977069,0.0002611746,0.00026337206,0.0004205528,0.00035799638,0.000017268767,0.000015862814,0.000055494293,0.0009013625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966727,0.000073018426,0.0019976993,0.00041129507,0.0000043761347,0.0008408924],"domain_scores_gemma":[0.99624264,0.0002616256,0.0014712296,0.00061104714,0.000191721,0.001221714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002826265,0.00032378884,0.0010865014,0.00074289367,0.00010836068,0.0001689156,0.0010115406,0.0002480433,0.00029917396],"category_scores_gemma":[0.00077703147,0.00031494544,0.00027701625,0.00028542665,0.0002807885,0.0005784312,0.000055864362,0.0004966965,0.000025805308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012539151,0.000024930083,0.22448163,0.00003304275,0.00009449377,0.000094475436,0.0018251973,0.0023693612,0.0000016593664,0.770173,0.00011527555,0.0006615389],"study_design_scores_gemma":[0.0017467026,0.0004263109,0.016226161,0.00012632333,0.000026221664,0.00034631396,0.0031209176,0.009070812,0.00006438219,0.90951663,0.05860537,0.0007238645],"about_ca_topic_score_codex":0.36392498,"about_ca_topic_score_gemma":0.9683469,"teacher_disagreement_score":0.6044219,"about_ca_system_score_codex":0.0019367025,"about_ca_system_score_gemma":0.0016731148,"threshold_uncertainty_score":0.99993026},"labels":[],"label_agreement":null},{"id":"W2102030735","doi":"","title":"Earnings in the last decade","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Labour economics; Business; Competition (biology); Wage; Goods and services; Division of labour; International trade; Economics; Market economy; Finance","score_opus":0.03343833533590172,"score_gpt":0.22316692663797985,"score_spread":0.18972859130207814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102030735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8442918,0.00010715913,0.0007658747,0.0009714243,0.00007448849,0.00006094181,0.0000103657485,0.000014059435,0.15370387],"genre_scores_gemma":[0.99712706,0.00013965418,0.00023981031,0.0011451965,0.00003915137,0.000008822117,0.0000037374948,0.00000665156,0.0012899279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999335,0.000018442444,0.00028801718,0.00016931297,0.00002391813,0.00016530661],"domain_scores_gemma":[0.9996104,0.000071628616,0.000079129175,0.00020819806,0.000008754235,0.000021885378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007329067,0.00006382373,0.00013645114,0.000074248004,0.00007046036,0.000022152177,0.00021447073,0.000043989818,0.00030411922],"category_scores_gemma":[0.00010792669,0.000050148465,0.000045408142,0.00025262785,0.000035796747,0.000086433705,0.000027813241,0.00013414847,0.00028981493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018512064,0.000030997766,0.5340949,0.0000018442914,0.000002693805,0.000008945027,0.0005347338,0.000009359673,0.0000010270332,0.46484813,0.0003819234,0.00008359259],"study_design_scores_gemma":[0.00023718653,0.000015639967,0.8905955,0.0000016607349,3.9698813e-7,0.00000990058,0.00007378171,0.00069995166,0.000003562572,0.041107804,0.067141935,0.00011267005],"about_ca_topic_score_codex":0.0005047887,"about_ca_topic_score_gemma":0.00017724035,"teacher_disagreement_score":0.42374033,"about_ca_system_score_codex":0.000023580611,"about_ca_system_score_gemma":0.00000735731,"threshold_uncertainty_score":0.37250814},"labels":[],"label_agreement":null},{"id":"W2102573894","doi":"","title":"The gender wage gap in the public and private sectors in Canada","year":2005,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Labour economics; Private sector; Public sector; Business; Economics; Demographic economics; Political science; Economic growth; Economy","score_opus":0.013896606487410207,"score_gpt":0.15088696929457582,"score_spread":0.13699036280716562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102573894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989006,0.00030956828,0.0002485459,0.006064055,0.00008617195,0.00030511708,0.00047777465,0.000026879403,0.0034759128],"genre_scores_gemma":[0.99581534,0.0006409231,0.0010166932,0.00014141745,0.000018773024,2.422562e-8,0.000036688598,0.000015932581,0.0023141908],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982001,0.0002158666,0.00033707885,0.00054035365,0.00017870136,0.00052790757],"domain_scores_gemma":[0.99833894,0.0003275197,0.00050680357,0.00060721027,0.00004666559,0.00017283842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007030865,0.0002638799,0.0005614411,0.0004242396,0.0004596181,0.000039201765,0.0015339401,0.00017894829,0.00034356586],"category_scores_gemma":[0.000017407112,0.00030901778,0.00016883662,0.0010624822,0.00055367826,0.0015495771,0.00057168806,0.00047230267,0.000009957801],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062061934,0.00041357585,0.74283636,0.00017628839,0.00030003933,0.00056840776,0.21231855,0.0002979025,0.000034567405,0.037716057,0.00071041205,0.0040072184],"study_design_scores_gemma":[0.0020952919,0.000049599887,0.22821218,0.000034680546,0.00002647349,0.0000051545253,0.7270695,0.0009945,0.000008922181,0.004252899,0.03680265,0.00044815688],"about_ca_topic_score_codex":0.72708493,"about_ca_topic_score_gemma":0.94429034,"teacher_disagreement_score":0.51475096,"about_ca_system_score_codex":0.0005270297,"about_ca_system_score_gemma":0.00093157706,"threshold_uncertainty_score":0.99993616},"labels":[],"label_agreement":null},{"id":"W2102886892","doi":"","title":"Employment changes across industries during the downturn and recovery","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Recession; Labour economics; Job creation; Economics; Business; Great recession; Macroeconomics","score_opus":0.01395421470246497,"score_gpt":0.21561203908413373,"score_spread":0.20165782438166877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102886892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98698515,0.0063083065,0.00033943565,0.005412282,0.0002468834,0.00015492986,0.000035328787,0.000014908667,0.00050278526],"genre_scores_gemma":[0.9808687,0.01483812,0.000012599986,0.00022622262,0.000249408,0.000020394227,0.0000020328591,0.000018438956,0.0037640918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99793464,0.000031256714,0.00035004085,0.00021397742,0.00004805149,0.0014220215],"domain_scores_gemma":[0.9993732,0.000046855268,0.0002844375,0.00019811942,0.000042085325,0.000055307682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019169489,0.00013973928,0.00021644814,0.000058734015,0.00042144363,0.00032918647,0.00023150755,0.000089853915,0.00010761181],"category_scores_gemma":[0.00009302574,0.00010675829,0.000054619,0.00015100982,0.00006579527,0.00027679635,0.000099044344,0.0010779835,0.000049167193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004597428,0.000065572545,0.21312149,0.000018946399,0.00037054575,0.0000031147708,0.0008428814,0.000026181722,0.00006880009,0.7355343,0.00013260907,0.04976956],"study_design_scores_gemma":[0.00052023435,0.00014095796,0.11966676,0.000010589826,0.000004895552,0.0001256559,0.0011821988,0.00008549966,0.000023007133,0.8712936,0.006711361,0.00023521495],"about_ca_topic_score_codex":0.0007058719,"about_ca_topic_score_gemma":0.0015352141,"teacher_disagreement_score":0.13575931,"about_ca_system_score_codex":0.00045573633,"about_ca_system_score_gemma":0.00010592942,"threshold_uncertainty_score":0.4683362},"labels":[],"label_agreement":null},{"id":"W2104034039","doi":"10.1080/13545700701716649","title":"Working for less? Women's part-time wage penalties across countries","year":2007,"lang":"en","type":"article","venue":"Feminist Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":260,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission; University of Pennsylvania","keywords":"Wage; Economics; Demographic economics; Distribution (mathematics); Full-time; Labour economics; Position (finance); Differential (mechanical device); Economic growth","score_opus":0.035314972178696495,"score_gpt":0.2501385208091969,"score_spread":0.2148235486305004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104034039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657314,0.00034505018,0.0020721497,0.00038889522,0.0017746976,0.00035948493,0.001759539,0.000085417814,0.027483385],"genre_scores_gemma":[0.99053055,0.0002737178,0.0009929987,0.0011501731,0.00066948996,0.00008550241,0.00010699997,0.00007723331,0.0061133443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697304,0.000010464289,0.0012849191,0.0006554726,0.000028556087,0.001047526],"domain_scores_gemma":[0.99798924,0.00046156123,0.0007530801,0.0005524051,0.000046724497,0.00019698967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040257922,0.00030975262,0.0007301427,0.00011522334,0.00041948404,0.00041105767,0.00044955456,0.00022654994,0.00030177267],"category_scores_gemma":[0.00016186868,0.00038944668,0.00020358848,0.0001226439,0.0001878142,0.00023150645,0.0001442687,0.00017335595,0.00034398763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032454258,0.00011563121,0.09947028,0.000076082695,0.00015946089,0.0000066973544,0.003614658,0.00008510275,0.0000031947304,0.89236677,0.000860805,0.0029167945],"study_design_scores_gemma":[0.0010106079,0.00009608174,0.0051611983,0.000020041123,0.000005848137,0.000004872698,0.0014821208,0.001084868,0.0000541975,0.13425805,0.8561334,0.0006887167],"about_ca_topic_score_codex":0.000043357235,"about_ca_topic_score_gemma":0.00015933534,"teacher_disagreement_score":0.8552726,"about_ca_system_score_codex":0.00053739524,"about_ca_system_score_gemma":0.000047409074,"threshold_uncertainty_score":0.99985576},"labels":[],"label_agreement":null},{"id":"W2104900628","doi":"","title":"Una tipología de desajustes entre competencias y educación utilizando un análisis comparativo entre países","year":2015,"lang":"es","type":"article","venue":"Revistes Científiques de la University of Barcelona (University of Barcelona)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Norwegian; Quarter (Canadian coin); Novelty; Sociology; Ideal (ethics); Value (mathematics); Pedagogy; Psychology; Political science; Social psychology; Geography; Mathematics; Philosophy; Law","score_opus":0.02163680561395917,"score_gpt":0.22677293664074671,"score_spread":0.20513613102678754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104900628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94286895,0.0053927023,0.007020544,0.001298761,0.00014042597,0.0005219615,0.0015788096,0.00009497566,0.041082878],"genre_scores_gemma":[0.9799369,0.008070025,0.009082253,0.0000929681,0.000052786287,1.7061622e-7,0.00013497024,0.000042113854,0.0025877948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961056,0.0009674067,0.0006818519,0.0010129093,0.00032479523,0.00090740895],"domain_scores_gemma":[0.9955598,0.0008501413,0.0014522985,0.00077928876,0.0006078414,0.00075060443],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001961076,0.0005872723,0.0017195521,0.00074171764,0.0005205177,0.00011199997,0.0015636832,0.0005761809,0.0017162142],"category_scores_gemma":[0.00027913868,0.00086773373,0.0007655448,0.0010297461,0.001774329,0.00060880533,0.00089673285,0.0005611583,0.00006469396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010582753,0.0016594924,0.5954565,0.0019638587,0.0010592593,0.00034518857,0.022740806,0.00062742323,0.00028254496,0.36664826,0.0031308853,0.0050275144],"study_design_scores_gemma":[0.012364445,0.0014209861,0.50594383,0.002811355,0.0013620399,0.00013834343,0.08966707,0.040017683,0.0005752772,0.044507183,0.29757714,0.0036146725],"about_ca_topic_score_codex":0.0032495132,"about_ca_topic_score_gemma":0.00026546945,"teacher_disagreement_score":0.32214108,"about_ca_system_score_codex":0.00109027,"about_ca_system_score_gemma":0.0006977332,"threshold_uncertainty_score":0.9993773},"labels":[],"label_agreement":null},{"id":"W2105793266","doi":"10.1111/j.1465-7287.2010.00195.x","title":"ECONOMIC TRANSITION AND THE GENDER EARNINGS GAP IN CHINESE INDUSTRY: THE ROLE OF FIRM CHARACTERISTICS","year":2010,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Earnings; Wage; Economics; Constraint (computer-aided design); Competition (biology); Labour economics; Budget constraint; Microeconomics","score_opus":0.01876000984096787,"score_gpt":0.23725554244030325,"score_spread":0.21849553259933538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105793266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96210384,0.00051814324,0.000014202338,0.003709289,0.0003371059,0.00032922515,0.0006040872,0.000014317478,0.03236976],"genre_scores_gemma":[0.99857605,0.00019083083,0.000013753248,0.0005662013,0.0004074783,0.00003885009,0.000032579566,0.000027774156,0.00014650359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983497,0.00006891277,0.00096613955,0.00034679365,0.000018393217,0.00025004157],"domain_scores_gemma":[0.9985149,0.00023396384,0.00065702054,0.0005043089,0.000011326617,0.00007848704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017702165,0.00020991113,0.0005731434,0.0001973742,0.00010120245,0.00008858321,0.000377054,0.00024330158,0.00017486681],"category_scores_gemma":[0.00014496756,0.00016088616,0.00012477291,0.000092554925,0.0003644979,0.00029348783,0.0000950634,0.0006525518,0.00004733621],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009596845,0.00002505721,0.43683115,0.000014245312,0.000045157285,7.99873e-7,0.001731019,0.0000239605,0.000027208584,0.56051457,0.00004858313,0.00064230256],"study_design_scores_gemma":[0.0021434138,0.000023082808,0.6572784,0.000008056712,0.0000052903356,0.000009339446,0.00019246656,0.017066263,0.000011864228,0.30627304,0.01669854,0.00029021216],"about_ca_topic_score_codex":0.0071366956,"about_ca_topic_score_gemma":0.00043049478,"teacher_disagreement_score":0.2542415,"about_ca_system_score_codex":0.00009455284,"about_ca_system_score_gemma":0.00017867489,"threshold_uncertainty_score":0.9994749},"labels":[],"label_agreement":null},{"id":"W2105863154","doi":"10.1353/cpp.2012.0017","title":"Canadian Inequality: Recent Developments and Policy Options","year":2012,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inequality; Economic inequality; Economics; Income inequality metrics; Development economics; Wage inequality; Public economics; Wage; Demographic economics; Labour economics","score_opus":0.04890607583329293,"score_gpt":0.2574614066515233,"score_spread":0.20855533081823036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105863154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4799818,0.0027881335,0.00015879275,0.18348123,0.0009817869,0.00051015214,0.005445448,0.00008026221,0.3265724],"genre_scores_gemma":[0.9850259,0.00076042116,0.00029511988,0.011096141,0.00064382167,0.000035663837,0.00016228142,0.000037342343,0.001943305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997492,0.000046043195,0.00053670985,0.0003363472,0.00004765572,0.0015412333],"domain_scores_gemma":[0.995721,0.00002897436,0.00014546531,0.00043205798,0.000083741725,0.0035887836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012265955,0.0002162678,0.0003101503,0.002249524,0.0004206658,0.00026729447,0.000301109,0.00019396325,0.0005307249],"category_scores_gemma":[0.0012332834,0.00027108224,0.00005004682,0.0013371402,0.000072945186,0.0005561982,0.00006522702,0.00019384008,0.00033182575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[4.4915907e-7,0.0000121563835,0.19962001,0.0000068169807,0.0000283117,0.000001703389,0.00021749202,1.5183203e-7,2.8659184e-7,0.79071575,0.001074931,0.0083219195],"study_design_scores_gemma":[0.00016282668,0.000005224725,0.27129087,0.0000031258357,0.0000016151303,0.000008726566,0.000028846103,0.00002556971,4.7293153e-7,0.05818898,0.6700131,0.0002706337],"about_ca_topic_score_codex":0.9786209,"about_ca_topic_score_gemma":0.96233517,"teacher_disagreement_score":0.7325268,"about_ca_system_score_codex":0.0040737176,"about_ca_system_score_gemma":0.0058789155,"threshold_uncertainty_score":0.99997413},"labels":[],"label_agreement":null},{"id":"W2106278601","doi":"10.15353/rea.v2i1.1493","title":"Inter- and intraindustrial Job-to-Job Flows. A Linkage Analysis of Regional Vacancy Chains in Austria","year":2010,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Oesterreichische Nationalbank","keywords":"Linkage (software); Tourism; Labour economics; Multiplier (economics); Job creation; Economics; Business; Macroeconomics; Geography","score_opus":0.035114213545556376,"score_gpt":0.28114507988770404,"score_spread":0.24603086634214766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106278601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896542,0.0052258726,0.001068951,0.0012873276,0.00017670612,0.0003060861,0.0008821578,0.000007371801,0.0013913622],"genre_scores_gemma":[0.981485,0.017171824,0.00067359034,0.0002919285,0.00009500493,0.0000245334,0.00010176993,0.000015322175,0.00014099917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967182,0.00007112668,0.0022746306,0.00062182586,0.000046153138,0.0002680081],"domain_scores_gemma":[0.9976881,0.0001981557,0.001134075,0.0007588599,0.00006333467,0.00015747402],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003122306,0.00023367947,0.0024179956,0.0019287823,0.000028582166,0.000027313983,0.00040517977,0.00018849738,0.001444931],"category_scores_gemma":[0.00045490326,0.000253875,0.0008718594,0.002485001,0.000082374725,0.00013361953,0.00012957522,0.00030643403,0.00001773223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040492345,0.0001141149,0.8124362,0.00069294684,0.0076713245,0.0000026661392,0.00019971728,0.0008216028,0.000024812416,0.17082895,0.00017712238,0.0069900556],"study_design_scores_gemma":[0.0020020758,0.00015926332,0.80858,0.00093797606,0.007921061,0.000002129142,0.000084978456,0.15164427,0.000011426459,0.009747914,0.017631182,0.0012777373],"about_ca_topic_score_codex":0.002899807,"about_ca_topic_score_gemma":0.0074529867,"teacher_disagreement_score":0.16108103,"about_ca_system_score_codex":0.00012492886,"about_ca_system_score_gemma":0.00006631504,"threshold_uncertainty_score":0.99999136},"labels":[],"label_agreement":null},{"id":"W2106619530","doi":"10.7202/028248ar","title":"Job Vacancy Survey as a Tool of Labour Market Information in Developing Countries","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Christian ministry; Developing country; Labour economics; Business; Economics; Economic growth; Political science","score_opus":0.026469720785632197,"score_gpt":0.23451459384553897,"score_spread":0.20804487305990677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106619530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96990824,0.0003040477,0.0023146658,0.002146913,0.00011483376,0.00018155793,0.0006854397,0.000018072484,0.024326216],"genre_scores_gemma":[0.99596375,0.0006318829,0.0009814978,0.00025846003,0.000030428018,0.000013565223,0.00006799867,0.000008458793,0.002043927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986203,0.000048483867,0.0009533696,0.00014147213,0.00005466197,0.00018173279],"domain_scores_gemma":[0.9990177,0.00024591538,0.0003878279,0.00020950493,0.00011105269,0.000027995855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015318383,0.00010830147,0.00024939154,0.0003344728,0.00007645292,0.000053356667,0.00014284153,0.0002153931,0.00085096643],"category_scores_gemma":[0.0008982429,0.00012922997,0.000036421032,0.0006552448,0.00003553207,0.0007377425,0.00004622467,0.0001999644,0.00017387442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013766888,0.00001419397,0.51643556,0.0000055447617,0.000013107034,2.2431752e-7,0.00026301775,0.0004293447,8.323598e-8,0.48092595,0.0005792831,0.0013199385],"study_design_scores_gemma":[0.00039269205,0.0000106646985,0.7229088,0.000028945178,0.0000015054325,8.334053e-7,0.000057952242,0.0021072656,0.000010530687,0.013567894,0.26074836,0.00016458365],"about_ca_topic_score_codex":0.0016768128,"about_ca_topic_score_gemma":0.0005030427,"teacher_disagreement_score":0.46735805,"about_ca_system_score_codex":0.00019928029,"about_ca_system_score_gemma":0.00017841473,"threshold_uncertainty_score":0.93174857},"labels":[],"label_agreement":null},{"id":"W2107855469","doi":"10.1177/0192513x10371610","title":"Can Motherhood Earnings Losses Be Ever Regained? Evidence From Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Family Issues","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Childbirth; Human capital; Demographic economics; Human capital theory; Labour economics; Economics; Pregnancy; Accounting; Economic growth; Biology","score_opus":0.036017522687230595,"score_gpt":0.2531557939476169,"score_spread":0.2171382712603863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107855469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852316,0.0034715186,0.00018047997,0.008055047,0.001437297,0.000052624833,0.0002053486,0.000008248658,0.0013578765],"genre_scores_gemma":[0.99458045,0.0010071851,0.0018006285,0.0011830078,0.00055374607,0.0000011292324,0.0000032382577,0.000023333398,0.00084730523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985273,0.00003105752,0.00084570015,0.00021772321,0.00013788434,0.00024032773],"domain_scores_gemma":[0.99811625,0.00024220976,0.0009615373,0.0003277499,0.0001967458,0.000155501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009572613,0.00016141548,0.000492305,0.00010798382,0.0000753798,0.000111608024,0.0004622242,0.000098500466,0.00037062503],"category_scores_gemma":[0.0010503648,0.00015294288,0.00011652888,0.00016201894,0.000047034508,0.00031532784,0.00004934843,0.00049462216,0.000007163616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009149228,0.00010651891,0.9635851,0.00003437694,0.00025389274,0.00016781577,0.0014564127,0.0001241547,0.004011589,0.014380726,0.0144766485,0.001311303],"study_design_scores_gemma":[0.00062410184,0.00013737252,0.8021741,0.00013905083,0.000025145364,0.00001924791,0.00040087965,0.00048068265,0.00041140142,0.04835905,0.14677006,0.00045889826],"about_ca_topic_score_codex":0.61737454,"about_ca_topic_score_gemma":0.2766892,"teacher_disagreement_score":0.34068534,"about_ca_system_score_codex":0.000122062265,"about_ca_system_score_gemma":0.0002542878,"threshold_uncertainty_score":0.7365093},"labels":[],"label_agreement":null},{"id":"W2107920376","doi":"10.1111/j.1468-0335.2008.00747.x","title":"Does Job Search Monitoring Intensity Affect Unemployment? Evidence from Northern Ireland","year":2009,"lang":"en","type":"article","venue":"Economica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Unemployment; Affect (linguistics); Stock (firearms); Economics; Labor intensity; Labour economics; Demographic economics; Macroeconomics; Psychology; Geography","score_opus":0.041961302376775,"score_gpt":0.25889653470833734,"score_spread":0.21693523233156234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107920376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254626,0.0006190558,0.00023807165,0.0022201897,0.0012294848,0.00020639128,0.00019753327,0.00007764663,0.0026653686],"genre_scores_gemma":[0.9977132,0.000459719,0.00044897676,0.00018799404,0.0005390788,0.000008594027,0.000014406068,0.000025435897,0.0006025613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815315,0.000035877292,0.00065392436,0.00069885,0.00003765665,0.00042051545],"domain_scores_gemma":[0.99869895,0.0002134314,0.00023750376,0.00064850895,0.000044245673,0.00015733995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086763257,0.00023162154,0.0005473544,0.000116761505,0.00014454739,0.0002058322,0.00042414072,0.0001294112,0.00032303703],"category_scores_gemma":[0.00015660461,0.00020301997,0.00016745062,0.000112983194,0.000050859097,0.00041502793,0.0001110083,0.00026882562,0.000674858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069055626,0.000046377758,0.99321145,0.0000073420492,0.000057284407,0.000007020099,0.00032890082,0.00012708611,0.000102450416,0.0040182727,0.000057564896,0.0019672075],"study_design_scores_gemma":[0.00040067226,0.00008543959,0.9385313,0.000061036066,0.000008047752,8.5036714e-7,0.00004408877,0.0021050267,0.00049250905,0.05673426,0.0011409115,0.00039589193],"about_ca_topic_score_codex":0.0024107608,"about_ca_topic_score_gemma":0.0003773284,"teacher_disagreement_score":0.054680172,"about_ca_system_score_codex":0.00032573027,"about_ca_system_score_gemma":0.000027184104,"threshold_uncertainty_score":0.8674159},"labels":[],"label_agreement":null},{"id":"W2108154515","doi":"10.3386/w12159","title":"The Short- and Long-Term Career Effects of Graduating in a Recession: Hysteresis and Heterogeneity in the Market for College Graduates","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Statistics Canada","funders":"","keywords":"Recession; Term (time); Hysteresis; Economics; Psychology; Great recession; Demographic economics; Labour economics; Keynesian economics; Physics; Condensed matter physics","score_opus":0.2745782847216297,"score_gpt":0.4473301028109096,"score_spread":0.17275181808927992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108154515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97176605,0.0097379545,0.0000073030346,0.0008502861,0.00023718334,0.0015750922,0.0010326402,0.0000026307043,0.014790843],"genre_scores_gemma":[0.994663,0.0043112137,0.000049227354,0.000012112848,0.00011708661,0.00030542316,0.00012547548,0.000024294668,0.00039216652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729884,0.00026369875,0.0013049623,0.00051849155,0.00026865787,0.00034537804],"domain_scores_gemma":[0.99301094,0.0057740584,0.00051454874,0.0003125068,0.0003490207,0.00003894421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015351473,0.00019534568,0.0006794284,0.0005499622,0.00015207253,0.00009351365,0.00042124838,0.00024136425,0.0000067043447],"category_scores_gemma":[0.0020429087,0.0001527383,0.00011843038,0.00023762218,0.000267684,0.00010692448,0.00017571323,0.00038981056,4.3280573e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001618256,0.00014007135,0.80148625,0.002117168,0.00014383775,0.000007825964,0.000116692616,0.000023049404,0.000009845989,0.19090544,0.002710922,0.0021770825],"study_design_scores_gemma":[0.0008093653,0.000114229166,0.6098428,0.00033646153,0.000008911004,0.000007885258,0.00003893376,0.0022048475,0.00003605409,0.3855945,0.00077974517,0.00022628898],"about_ca_topic_score_codex":0.0020049368,"about_ca_topic_score_gemma":0.008274929,"teacher_disagreement_score":0.19468905,"about_ca_system_score_codex":0.00048570608,"about_ca_system_score_gemma":0.00030083823,"threshold_uncertainty_score":0.6228487},"labels":[],"label_agreement":null},{"id":"W2108302718","doi":"10.7202/601291ar","title":"Interprétations de la corrélation éducation-revenu","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Meaning (existential); Sociology; Positive economics; Epistemology; Higher education; Psychology; Social science; Economics; Philosophy; Economic growth","score_opus":0.03653129601013675,"score_gpt":0.2712680031801085,"score_spread":0.23473670716997178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108302718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8961961,0.00010197726,0.02252509,0.0030247003,0.00026998032,0.00015077456,0.000122001526,0.00006933877,0.07754004],"genre_scores_gemma":[0.99437386,0.000065321496,0.0019430973,0.0020171246,0.00013150093,0.000021984106,0.000054053573,0.000014823566,0.0013782594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989215,0.00007501643,0.0005105929,0.00027542652,0.000011293303,0.0002061638],"domain_scores_gemma":[0.9990443,0.0002759067,0.0002611099,0.0003029832,0.000030950774,0.00008474838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011261496,0.00012600349,0.00023119421,0.00012820221,0.00008446067,0.00012942616,0.0001820734,0.00013469349,0.00031425498],"category_scores_gemma":[0.0004501458,0.00015436539,0.000093757226,0.00013599562,0.000038487775,0.00026178497,0.000017705212,0.0001305696,0.00014676957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008625248,0.00008622314,0.011697241,0.0000056351937,0.000014612472,9.5236555e-7,0.0012769703,0.000088064444,0.000047276553,0.9832419,0.00039302956,0.0031394258],"study_design_scores_gemma":[0.00023978375,0.000033366745,0.13146296,0.000009527954,0.0000035481721,0.0000043613286,0.000048783735,0.0027003784,0.00005200549,0.8373564,0.027890315,0.00019861064],"about_ca_topic_score_codex":0.00030116178,"about_ca_topic_score_gemma":0.000048364444,"teacher_disagreement_score":0.14588559,"about_ca_system_score_codex":0.00029885545,"about_ca_system_score_gemma":0.00006859006,"threshold_uncertainty_score":0.6294838},"labels":[],"label_agreement":null},{"id":"W2108411659","doi":"","title":"Human Capital Specificity: Direct and Indirect Evidence from Canadian and US Panels and Displaced Worker Surveys","year":2004,"lang":"en","type":"preprint","venue":"Scholarship@Western (Western University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Economics; Labour economics; Capital (architecture); Market economy","score_opus":0.10718670404727607,"score_gpt":0.2787491564861158,"score_spread":0.17156245243883975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108411659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928728,0.0025700822,0.00015453839,0.00024182312,0.00045695977,0.00051372906,0.0026777843,0.00007215724,0.0004401358],"genre_scores_gemma":[0.9964041,0.0013905462,0.00003280776,0.00011083655,0.000119352044,0.0000030578335,0.00016081348,0.000072593226,0.0017058785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964532,0.00042001082,0.0006211642,0.001718494,0.0001263141,0.00066080777],"domain_scores_gemma":[0.9975277,0.00024083247,0.0005781553,0.00083042734,0.000087489425,0.0007353498],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0019333004,0.0006449973,0.0011360184,0.000848259,0.0004244057,0.0011824275,0.00062438933,0.00072473945,0.000049205755],"category_scores_gemma":[0.00015050522,0.0008318028,0.00013247076,0.00028406156,0.00029943633,0.0010405664,0.0012225275,0.001174827,0.00002754591],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026401085,0.000032798896,0.9978111,0.000116267045,0.00019261554,0.00026679915,0.0007797922,0.000021484184,0.00001600199,0.00049567333,1.5816049e-7,0.00024094072],"study_design_scores_gemma":[0.0007052081,0.000052318126,0.985978,0.0006404751,0.000077251716,0.0000083851155,0.0000793714,0.0000021082683,0.00002568556,0.011282964,0.00023798717,0.00091024995],"about_ca_topic_score_codex":0.044032745,"about_ca_topic_score_gemma":0.45634556,"teacher_disagreement_score":0.4123128,"about_ca_system_score_codex":0.0007418687,"about_ca_system_score_gemma":0.00018792402,"threshold_uncertainty_score":0.99985445},"labels":[],"label_agreement":null},{"id":"W2108414999","doi":"10.1007/s00148-005-0028-9","title":"On voters’ attitudes towards unemployment insurance subsidies across regions: a Canadian simulation","year":2005,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generosity; Unemployment; Subsidy; Economics; Asset (computer security); Labour economics; Income protection insurance; Social policy; Demographic economics; Insurance policy; Actuarial science; General insurance; Economic growth; Political science","score_opus":0.04622819501319234,"score_gpt":0.28874428111815403,"score_spread":0.2425160861049617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108414999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419034,0.00027136158,0.0011108094,0.0027035228,0.000651598,0.00011891325,0.000259356,0.000010176365,0.0006839023],"genre_scores_gemma":[0.9976892,0.0002890835,0.0007199595,0.0007763242,0.00033370574,0.0000026122837,0.00002479809,0.000023914046,0.00014042763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982138,0.000024425059,0.0012271316,0.00021337575,0.00004225488,0.0002789806],"domain_scores_gemma":[0.9982802,0.00007704415,0.001123511,0.00024189347,0.00009981098,0.00017751913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010318093,0.00016002766,0.0004117817,0.0002859831,0.00015420845,0.00013461435,0.0002040293,0.00011634829,0.00006773037],"category_scores_gemma":[0.00022314985,0.00017827126,0.00017431314,0.00011723563,0.000027243183,0.00061557925,0.000020162408,0.00018176016,0.000047263155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005442636,0.00007037286,0.41005996,0.00001071592,0.00006516129,0.0000025012612,0.00041788368,0.38467726,4.6443165e-7,0.1999707,0.000056391156,0.0046141776],"study_design_scores_gemma":[0.00078854867,0.000101297715,0.84579605,0.00003579232,0.000005376618,0.0000075202443,0.000038358845,0.03543815,0.000004596351,0.104231626,0.0132709695,0.00028174627],"about_ca_topic_score_codex":0.008146201,"about_ca_topic_score_gemma":0.040642697,"teacher_disagreement_score":0.43573606,"about_ca_system_score_codex":0.0010291644,"about_ca_system_score_gemma":0.000057892474,"threshold_uncertainty_score":0.9984586},"labels":[],"label_agreement":null},{"id":"W2109268950","doi":"10.1111/0008-4085.00077","title":"Education, earnings, and the ‘Canadian G.I. Bill’","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Political science; Servant; Humanities; Art; Economics; Finance; Engineering","score_opus":0.0850796677542663,"score_gpt":0.17974068504450638,"score_spread":0.09466101729024008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109268950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579263,0.0016571173,0.00004257881,0.021194272,0.0018499781,0.0002649122,0.00020512931,0.0000046105306,0.016855102],"genre_scores_gemma":[0.99331003,0.0008383016,0.00022923558,0.0027828135,0.0006159047,0.00001713934,0.000014914557,0.00004866422,0.0021429928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975502,0.00006470678,0.0012388245,0.00038233912,0.0000019115932,0.0007620315],"domain_scores_gemma":[0.9960616,0.00015809045,0.00097293773,0.00047971852,0.00020939855,0.0021182322],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025452387,0.00026597,0.00072321994,0.0009683689,0.0005111356,0.0004189153,0.0006425103,0.00021345791,0.0005289586],"category_scores_gemma":[0.0006835,0.00024653933,0.00021727444,0.00023646354,0.00041579688,0.000448369,0.000022867767,0.000467247,0.000058907164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003318274,0.000006276882,0.09119406,0.000009084304,0.00008452032,0.000027742246,0.0007528647,0.00021632567,9.782609e-8,0.9053534,0.00045522576,0.0018671822],"study_design_scores_gemma":[0.00080411887,0.00005697415,0.014206254,0.000026708829,0.000015261323,0.0004241424,0.00022082863,0.0008836985,5.9540076e-7,0.69806534,0.28499353,0.0003025456],"about_ca_topic_score_codex":0.93461716,"about_ca_topic_score_gemma":0.99876595,"teacher_disagreement_score":0.2845383,"about_ca_system_score_codex":0.0019216529,"about_ca_system_score_gemma":0.0034984804,"threshold_uncertainty_score":0.9999987},"labels":[],"label_agreement":null},{"id":"W2109819596","doi":"10.7202/031846ar","title":"Inflation des diplômes et insertion professionnelle des jeunes : situation des diplômés du secondaire professionnel et du cégep technique sur le marché de l’emploi","year":2007,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.1966296708598363,"score_gpt":0.3443302216036464,"score_spread":0.1477005507438101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109819596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82214636,0.0023093363,0.16750006,0.0041779913,0.00094116933,0.00073235045,0.00006118711,0.00008852581,0.0020430377],"genre_scores_gemma":[0.9591828,0.0041515757,0.03463328,0.0002757413,0.0002635067,0.00017732588,0.0001258925,0.00004874884,0.0011411239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963462,0.00068808557,0.0011752648,0.00076579396,0.00015639552,0.00086827594],"domain_scores_gemma":[0.99732363,0.00061644235,0.0009482574,0.00038140468,0.0005207561,0.00020949876],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.014503889,0.00035596837,0.00042758504,0.00057293876,0.0022009732,0.00041724098,0.00046513663,0.00041510203,0.00014324735],"category_scores_gemma":[0.0028618563,0.00037638686,0.00016350756,0.0015231954,0.0016290001,0.0031215763,0.00017720014,0.00039679764,0.000028715069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007630529,0.00072901114,0.76879895,0.0013297345,0.000029413044,0.0000044641865,0.061861686,0.0015755625,0.0023446523,0.14291808,0.00013915105,0.020193001],"study_design_scores_gemma":[0.00028718423,0.00016206523,0.6196817,0.00097044144,0.000016868276,0.000044573724,0.00802239,0.018996337,0.00093354675,0.3501978,0.00031200115,0.00037509203],"about_ca_topic_score_codex":0.004614039,"about_ca_topic_score_gemma":0.01117798,"teacher_disagreement_score":0.20727971,"about_ca_system_score_codex":0.001981339,"about_ca_system_score_gemma":0.0007935752,"threshold_uncertainty_score":0.9998688},"labels":[],"label_agreement":null},{"id":"W2110020119","doi":"10.7202/010752ar","title":"Écarts salariaux et disparités professionnelles entre sexes : développements théoriques et validité empirique","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.057646329598140804,"score_gpt":0.2939936768767201,"score_spread":0.2363473472785793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110020119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8426311,0.0052620475,0.0042920117,0.1225942,0.0039733043,0.0011860894,0.0025453442,0.00020668238,0.017309224],"genre_scores_gemma":[0.9268706,0.012169252,0.008212799,0.013861142,0.0011812419,0.00023384862,0.0005262309,0.00020254658,0.03674236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933623,0.00092449004,0.0026065307,0.0016451945,0.00010519535,0.001356293],"domain_scores_gemma":[0.9956714,0.0009588099,0.0014184017,0.0013146983,0.00016758716,0.00046912426],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0044768797,0.000993505,0.0015848839,0.0003732115,0.0003413434,0.0006929578,0.000889059,0.0010831666,0.0029649434],"category_scores_gemma":[0.00067419384,0.0011751961,0.0005679999,0.00036062705,0.00023497028,0.0018463336,0.00065658265,0.0012128227,0.0006305527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009902293,0.0009868736,0.09501512,0.00036604397,0.0003962669,0.000023128478,0.008946953,0.00032737356,0.00003199608,0.87984,0.0047040884,0.009263101],"study_design_scores_gemma":[0.0019277249,0.00018247773,0.03470372,0.00066425884,0.00006294782,0.00002285124,0.0010710367,0.0036992796,0.0008677995,0.37291002,0.58201283,0.001875046],"about_ca_topic_score_codex":0.0023722798,"about_ca_topic_score_gemma":0.0075665065,"teacher_disagreement_score":0.5773088,"about_ca_system_score_codex":0.00093517365,"about_ca_system_score_gemma":0.00043655405,"threshold_uncertainty_score":0.9990698},"labels":[],"label_agreement":null},{"id":"W2112109732","doi":"10.1086/588180","title":"Human Capital Specificity: Evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys, 1984–2000","year":2008,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":331,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Human capital; Wage; Portfolio; Labour economics; Construct (python library); Economics; Capital (architecture); Computer science; Financial economics; Economic growth","score_opus":0.05754621937812086,"score_gpt":0.2572309095991488,"score_spread":0.19968469022102794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112109732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947143,0.0024665536,0.00037915245,0.00046810077,0.0004411218,0.00006979704,0.0010476932,0.0000037666919,0.00040952335],"genre_scores_gemma":[0.99645597,0.0022570956,0.00047147876,0.000109179506,0.00035056003,0.0000013372984,0.000015840937,0.000015685653,0.0003228391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852407,0.0000763744,0.0010270069,0.00018827293,0.00004833671,0.00013591163],"domain_scores_gemma":[0.9980358,0.00043641738,0.0010974064,0.00023862852,0.00011848872,0.00007329766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015445229,0.00012840136,0.00042224664,0.000097619966,0.00013750924,0.00004635823,0.0002656106,0.0000821552,0.0003494394],"category_scores_gemma":[0.00018183448,0.00011124434,0.0001253385,0.000106688436,0.00016073378,0.00039433423,0.00006184161,0.00020170861,0.00001684235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008296327,0.00007586125,0.96165603,0.0000062503327,0.00012973361,0.000006615321,0.0006817333,0.0002872208,0.00003732475,0.036428962,0.00039005838,0.0002172279],"study_design_scores_gemma":[0.00039242813,0.00005688925,0.9690935,0.00003405875,0.000010865048,0.000019480756,0.00008232766,0.0003216036,0.000017304668,0.0268462,0.0029965006,0.00012885038],"about_ca_topic_score_codex":0.0007036721,"about_ca_topic_score_gemma":0.00032967128,"teacher_disagreement_score":0.009582762,"about_ca_system_score_codex":0.00012899993,"about_ca_system_score_gemma":0.00011576762,"threshold_uncertainty_score":0.45364127},"labels":[],"label_agreement":null},{"id":"W2112526976","doi":"10.2139/ssrn.955407","title":"Wage Differentials in the Presence of Unobserved Worker, Firm, and Match Heterogeneity","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wage; Labour economics; Economics; Business","score_opus":0.02331627264733781,"score_gpt":0.24440964783406566,"score_spread":0.22109337518672784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112526976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98719835,0.0061480007,0.0055253664,0.0003805435,0.00013109135,0.00012040869,0.000017968285,0.000004431006,0.00047381315],"genre_scores_gemma":[0.9952608,0.004431094,0.000055071312,0.00006150805,0.00006279995,0.0000022984418,0.0000023812365,0.000010846494,0.00011320639],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790823,0.000075223266,0.00069453206,0.00019826801,0.00006647536,0.0010572523],"domain_scores_gemma":[0.99914235,0.00017674593,0.0003790595,0.00023205079,0.000027322387,0.000042461186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008290733,0.00011842129,0.0002925535,0.00011305518,0.00008367514,0.00005605053,0.00034852544,0.00007805618,0.0000191277],"category_scores_gemma":[0.00011161611,0.000094873154,0.00008896389,0.00023382642,0.000054751432,0.00012984153,0.000053465268,0.000749228,0.0000030686301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056781966,0.000098434706,0.5112261,0.000010017643,0.00006462588,0.0000039115944,0.00024449284,0.000008335851,0.000058532707,0.4856839,0.00000382468,0.0025410359],"study_design_scores_gemma":[0.00047344752,0.00007579661,0.46461636,0.000013216802,0.000005845301,0.000030862244,0.00029620898,0.00017375065,0.000037786274,0.53398275,0.00018262652,0.000111325644],"about_ca_topic_score_codex":0.00040022342,"about_ca_topic_score_gemma":0.0041011595,"teacher_disagreement_score":0.048298873,"about_ca_system_score_codex":0.00016288603,"about_ca_system_score_gemma":0.00007653698,"threshold_uncertainty_score":0.3868815},"labels":[],"label_agreement":null},{"id":"W2112551343","doi":"10.1111/1540-5982.00149","title":"Decomposing changes in wage distributions: a unified approach","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Wage; Probit; Mathematics; Economics; Welfare economics; Distribution (mathematics); Logit; Labour economics; Mathematical analysis","score_opus":0.15982848933918287,"score_gpt":0.18533636235747813,"score_spread":0.02550787301829527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112551343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98507714,0.0012929294,0.00046761622,0.0026281166,0.0009778473,0.00023224221,0.00089781644,0.000007156045,0.008419122],"genre_scores_gemma":[0.9972768,0.0004692345,0.0010490075,0.0004173171,0.0003188344,0.000017340957,0.00003901891,0.00004868169,0.00036379707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99719477,0.000053915406,0.0014036247,0.00046037146,0.0000017981764,0.00088554167],"domain_scores_gemma":[0.9972626,0.00011100107,0.00095261674,0.0004627639,0.000090472226,0.0011205313],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014379378,0.00029585062,0.0008859099,0.0011695218,0.00016059997,0.00020938179,0.0006310858,0.00023894043,0.0005862048],"category_scores_gemma":[0.00031048275,0.00039767975,0.00021171985,0.00033291464,0.0001334821,0.00044278376,0.000027520342,0.00047037753,0.00004119497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015874166,0.000041532145,0.03504516,0.000030457786,0.00007225147,0.00009507059,0.0008578649,0.0014102441,0.0000025455372,0.96099234,0.00014678962,0.0012898891],"study_design_scores_gemma":[0.0020645952,0.00029701553,0.012558294,0.00013510697,0.000024958532,0.00042072902,0.00050261966,0.043340016,0.000027370052,0.8903149,0.0491099,0.0012044999],"about_ca_topic_score_codex":0.10000623,"about_ca_topic_score_gemma":0.9235778,"teacher_disagreement_score":0.82357156,"about_ca_system_score_codex":0.0025874688,"about_ca_system_score_gemma":0.000254589,"threshold_uncertainty_score":0.99984753},"labels":[],"label_agreement":null},{"id":"W2112701752","doi":"10.1111/caje.12116","title":"Occupations, fields of study and returns to education","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Human capital; Census; Channel (broadcasting); Task (project management); Labour economics; Field (mathematics); Demographic economics; Economics; Computer science; Mathematics; Sociology; Management; Finance; Economic growth; Telecommunications; Demography","score_opus":0.09591493361745954,"score_gpt":0.20161497746568677,"score_spread":0.10570004384822723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112701752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351376,0.00017476306,0.00033754416,0.0012901761,0.0011362486,0.00027221686,0.00020667707,0.000002463034,0.0030661358],"genre_scores_gemma":[0.9981621,0.00003990292,0.00063786615,0.0006161979,0.0002640386,0.00001113942,0.000006930308,0.000024482895,0.00023734714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981874,0.000044309156,0.001153929,0.0002895441,0.0000014666051,0.00032334542],"domain_scores_gemma":[0.9975774,0.00010638568,0.0008015976,0.0003885755,0.00016213917,0.00096388115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014847527,0.00016497052,0.0006050702,0.00076864625,0.00008806667,0.00008512926,0.00033711214,0.00011570392,0.00010080048],"category_scores_gemma":[0.00058054,0.00021452676,0.000101826205,0.00014431996,0.00005310403,0.00024603377,0.00002270842,0.00018377707,0.000009208512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023437688,0.000038224924,0.18853259,0.000026578135,0.00006405467,0.0000021976061,0.0020780924,0.0004208916,0.0000010494657,0.80560017,0.00022934387,0.0029833873],"study_design_scores_gemma":[0.0007696827,0.001027868,0.08623807,0.00006673077,0.000029382836,0.000054750017,0.0013471516,0.0018000583,0.000013386122,0.8844528,0.023706473,0.00049360015],"about_ca_topic_score_codex":0.14686324,"about_ca_topic_score_gemma":0.9311466,"teacher_disagreement_score":0.7842834,"about_ca_system_score_codex":0.0005062056,"about_ca_system_score_gemma":0.0006632842,"threshold_uncertainty_score":0.8748148},"labels":[],"label_agreement":null},{"id":"W2113417838","doi":"10.3138/cpp.34.2.215","title":"Differential Grading Standards and Student Incentives","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Grading (engineering); Incentive; Academic standards; Mathematics education; Human capital; Academic achievement; Differential (mechanical device); Computer science; Political science; Psychology; Higher education; Economics; Engineering; Microeconomics; Law; Economic growth","score_opus":0.03054859343041495,"score_gpt":0.2501219425343871,"score_spread":0.21957334910397214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113417838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641032,0.00043164508,0.00030851518,0.004260864,0.0002490639,0.000111610716,0.0015823372,0.000024321682,0.028928395],"genre_scores_gemma":[0.9977287,0.00044481325,0.000031871405,0.00069198885,0.00024908915,0.000010038912,0.000025028228,0.000019196514,0.00079929706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987566,0.00002106988,0.000324319,0.00031073316,0.000060327668,0.00052693544],"domain_scores_gemma":[0.9989371,0.000021051606,0.000107947795,0.00024312598,0.000058050577,0.0006327688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032623275,0.0001365607,0.00026650788,0.0006144426,0.0003480558,0.000168415,0.00021349145,0.000078499565,0.0003456936],"category_scores_gemma":[0.00027591936,0.00015895355,0.000056280413,0.000343992,0.00013965782,0.00023928881,0.00006376496,0.00012327381,0.00001912517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001256384,0.000014391419,0.27113348,0.0000055854384,0.000028175657,0.000011780305,0.00032099828,1.36177e-7,0.0000012982216,0.7269786,0.00050560076,0.0009986946],"study_design_scores_gemma":[0.0005351269,0.000026300851,0.75696903,0.0000053074614,0.0000022261795,0.000016872911,0.000048445567,0.000222338,0.0000023875132,0.051966388,0.18988918,0.00031640448],"about_ca_topic_score_codex":0.12250401,"about_ca_topic_score_gemma":0.05149266,"teacher_disagreement_score":0.67501223,"about_ca_system_score_codex":0.00080008234,"about_ca_system_score_gemma":0.0007883997,"threshold_uncertainty_score":0.9658151},"labels":[],"label_agreement":null},{"id":"W2114155230","doi":"10.7202/602071ar","title":"Le chômage en Europe : conclusions d’une analyse économétrique multinationale","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.024200506213423147,"score_gpt":0.23280245763483068,"score_spread":0.20860195142140753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114155230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7583051,0.005277757,0.010295655,0.10933034,0.0019625374,0.00089947565,0.003961983,0.00017326043,0.10979391],"genre_scores_gemma":[0.94236875,0.0037672624,0.005677979,0.007467357,0.00084422843,0.000042969627,0.0004839761,0.00009260378,0.039254896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99506027,0.0004096988,0.0021694554,0.0013053229,0.000053389227,0.001001862],"domain_scores_gemma":[0.9961277,0.00087755173,0.0011547209,0.001154688,0.0002729986,0.00041232642],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002632542,0.00065023743,0.0013557621,0.0004856621,0.000458535,0.00040276995,0.00089143676,0.00068096584,0.0013016803],"category_scores_gemma":[0.0012568848,0.00089570554,0.00054318993,0.00095008645,0.00025209473,0.0010435998,0.0002980352,0.0008066462,0.0007823192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055401706,0.0008145437,0.006625659,0.000065618304,0.00021654455,0.000054084212,0.0018890606,0.0011076394,0.000089931775,0.9767282,0.0011299102,0.011223378],"study_design_scores_gemma":[0.0020634388,0.00028843278,0.08019823,0.00011739653,0.000054494612,0.000031831303,0.00030669375,0.019188695,0.00022061811,0.22912832,0.6669565,0.0014453994],"about_ca_topic_score_codex":0.007250808,"about_ca_topic_score_gemma":0.002083485,"teacher_disagreement_score":0.7475999,"about_ca_system_score_codex":0.00050745823,"about_ca_system_score_gemma":0.000506579,"threshold_uncertainty_score":0.9999957},"labels":[],"label_agreement":null},{"id":"W2114393311","doi":"","title":"Selectivity and the Gender Wage Gap Decomposition in the Presence of a Joint Decision Process","year":2006,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Selection (genetic algorithm); Affect (linguistics); Decomposition; Selection bias; Sample (material); Economics; Joint (building); Decision process; Differential (mechanical device); Labour economics; Demographic economics; Econometrics; Psychology; Computer science; Statistics; Mathematics; Engineering","score_opus":0.06189569472405202,"score_gpt":0.3559322073617624,"score_spread":0.29403651263771036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114393311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642516,0.0005686024,0.000097188225,0.004875716,0.00010346804,0.00065742066,0.0003968982,0.0000046938762,0.0068708295],"genre_scores_gemma":[0.9973144,0.001493023,0.0007280198,0.0002755233,0.00012521306,0.000023262652,0.0000063006446,0.000014647525,0.000019620906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99477035,0.00021575078,0.0018401755,0.0010570231,0.0002570155,0.0018597041],"domain_scores_gemma":[0.9952274,0.00212896,0.0005001384,0.00068752887,0.00045536857,0.0010006115],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.020467507,0.0002872976,0.0009428696,0.0008499976,0.0004808244,0.0004934037,0.0011654391,0.00016527533,0.000041617997],"category_scores_gemma":[0.004063097,0.00021153415,0.00013767213,0.00110267,0.008535689,0.0010916567,0.0006370697,0.00067077414,0.0000049899936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014722646,0.00021926608,0.05536345,0.000058637255,0.000009128921,9.778079e-7,0.00007678507,0.00016687943,0.000117287724,0.94354784,0.0000074211066,0.00028511026],"study_design_scores_gemma":[0.001190227,0.00016822274,0.28136468,0.000036402114,0.0000074411823,0.000016329226,0.0003261804,0.0341473,0.00036275442,0.68209624,0.00008671816,0.00019752496],"about_ca_topic_score_codex":0.009468513,"about_ca_topic_score_gemma":0.00093616353,"teacher_disagreement_score":0.2614516,"about_ca_system_score_codex":0.000399236,"about_ca_system_score_gemma":0.0010245364,"threshold_uncertainty_score":0.99712753},"labels":[],"label_agreement":null},{"id":"W2114988552","doi":"","title":"Left Out of the Boom Economy: UI Recipients in the Late 1990s","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Boom; Labour economics; Job market; Economics; Demographic economics; Work (physics); Geography; Finance","score_opus":0.051320555681871646,"score_gpt":0.29831087000397677,"score_spread":0.2469903143221051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114988552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7308961,0.00030018308,0.000005227244,0.0015748321,0.0011499738,0.00096832647,0.0004600387,0.000011553052,0.26463374],"genre_scores_gemma":[0.9865004,0.008581042,0.00007511167,0.00039296717,0.00019041033,0.00014449624,0.00005870219,0.000072529045,0.0039843773],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99516124,0.0004750764,0.0021300276,0.0010996367,0.00012652802,0.001007507],"domain_scores_gemma":[0.99546295,0.0007395649,0.0009962058,0.0025998966,0.000088898865,0.000112465044],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009082566,0.0004320027,0.0011068147,0.00064206304,0.0001743995,0.00024972373,0.0027265393,0.0006108522,0.00026549838],"category_scores_gemma":[0.0008222065,0.00037070314,0.00045555143,0.000292937,0.00044122193,0.00016958515,0.0017405553,0.0025221666,0.000040743023],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014398094,0.0006404736,0.8751187,0.00029530065,0.00021564985,0.000027192777,0.003778867,0.009618494,0.0000049870428,0.093175896,0.00014494559,0.016835513],"study_design_scores_gemma":[0.0014867047,0.00008928992,0.31107,0.00035445328,0.0000111795725,0.0000060515026,0.00077466056,0.014140928,0.000015665597,0.5507645,0.120294034,0.0009925271],"about_ca_topic_score_codex":0.001075971,"about_ca_topic_score_gemma":0.0035529349,"teacher_disagreement_score":0.5640487,"about_ca_system_score_codex":0.0012449359,"about_ca_system_score_gemma":0.00032661375,"threshold_uncertainty_score":0.9998745},"labels":[],"label_agreement":null},{"id":"W2115153001","doi":"10.2139/ssrn.822364","title":"Factor Adjustments after Deregulation: Panel Evidence from Colombian Plants","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Centre for International Governance Innovation","funders":"","keywords":"Deregulation; Panel data; Business; Economics; Econometrics; Macroeconomics","score_opus":0.0359375707609314,"score_gpt":0.23698904262064635,"score_spread":0.20105147185971495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115153001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816409,0.011384115,0.004332988,0.00144772,0.00034046086,0.00011988943,0.00020247311,0.000023145412,0.000508324],"genre_scores_gemma":[0.9918259,0.00586483,0.0002636888,0.00032209564,0.0005239125,0.000010345475,0.000015747217,0.00002542852,0.0011480843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752575,0.000043747124,0.00064070325,0.00034252956,0.000090829046,0.0013564298],"domain_scores_gemma":[0.9990974,0.00008111146,0.00039000486,0.00027044775,0.00004065129,0.00012036162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009987168,0.00018434075,0.00030597698,0.0001121599,0.00013907108,0.00012974237,0.0003113554,0.00012276597,0.0008699322],"category_scores_gemma":[0.00008896804,0.00019353654,0.00012970284,0.000111112844,0.000028031876,0.00058748655,0.000048692786,0.0007970157,0.00035774749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031846086,0.00021640045,0.78421843,0.000008916655,0.00043588877,0.000013668063,0.00069812144,0.00011704092,0.000046983747,0.17435949,0.00010093451,0.039465655],"study_design_scores_gemma":[0.00077595876,0.00010599593,0.51164263,0.000037859496,0.000011149285,0.000032667034,0.00009432584,0.0014206485,0.000019452042,0.48156145,0.0039667175,0.0003311187],"about_ca_topic_score_codex":0.0003724848,"about_ca_topic_score_gemma":0.0022961958,"teacher_disagreement_score":0.30720195,"about_ca_system_score_codex":0.001254547,"about_ca_system_score_gemma":0.00028589237,"threshold_uncertainty_score":0.95251477},"labels":[],"label_agreement":null},{"id":"W2116012301","doi":"10.1111/j.1468-2354.2007.00445.x","title":"THE TIMING OF SIGNALING: TO STUDY IN HIGH SCHOOL OR IN COLLEGE?*","year":2007,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"East Asia; Work (physics); College education; Demographic economics; Psychology; Mathematics education; Political science; China; Economics; Engineering; Law","score_opus":0.05356125464634804,"score_gpt":0.31498536837019725,"score_spread":0.2614241137238492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116012301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98404735,0.0038724928,0.00014739585,0.002606253,0.00065832864,0.0007889885,0.00012100013,0.0000053160966,0.007752844],"genre_scores_gemma":[0.99454427,0.0040327203,0.00024513176,0.0006754227,0.000058957503,0.00004480771,0.0000045632605,0.00001141094,0.0003826974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794155,0.000029244855,0.0015401677,0.00027395424,0.000036999387,0.00017805646],"domain_scores_gemma":[0.99894553,0.00031657438,0.0003996077,0.00025407405,0.000031178,0.000053025415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004757738,0.000104115374,0.00042449936,0.00020569364,0.00002528329,0.00002758436,0.00047895478,0.0000317293,0.000763173],"category_scores_gemma":[0.0005603843,0.00008859013,0.00006640048,0.00019588039,0.00001626752,0.00010836821,0.00009575971,0.000113373135,0.00015660674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021035662,0.00037742915,0.55341077,0.00015542243,0.0001298839,0.000039434606,0.00026601355,0.00047628532,0.0000041025473,0.43336204,0.0003601448,0.01120813],"study_design_scores_gemma":[0.0026883008,0.00022615425,0.8090147,0.0012452259,0.000011935263,0.000007785355,0.0003578578,0.0021118417,0.000030193793,0.060027782,0.12366897,0.0006092579],"about_ca_topic_score_codex":0.0008540183,"about_ca_topic_score_gemma":0.0021487689,"teacher_disagreement_score":0.37333426,"about_ca_system_score_codex":0.0004266737,"about_ca_system_score_gemma":0.000044492008,"threshold_uncertainty_score":0.8356209},"labels":[],"label_agreement":null},{"id":"W2117035255","doi":"10.12927/hcpap..16828","title":"For the Employer Productivity Is Critical","year":2004,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre for Disability Prevention and Rehabilitation","funders":"","keywords":"Productivity; Business; Labour economics; Economics; Economic growth","score_opus":0.0902813519533452,"score_gpt":0.3132697636183277,"score_spread":0.2229884116649825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117035255","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019747153,0.0009580183,0.0031451145,0.96346295,0.0026282482,0.0028089953,0.0057762973,0.00020062813,0.0012725933],"genre_scores_gemma":[0.0059152218,0.0003683777,0.0008010651,0.9852462,0.00087646686,0.0015022458,0.00042891336,0.0003289252,0.0045326175],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931027,0.00017497089,0.0018560063,0.002465832,0.00033016465,0.002070307],"domain_scores_gemma":[0.9937706,0.0024228774,0.0007721161,0.002335405,0.00027800383,0.0004209903],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028632456,0.0010205777,0.0018014848,0.00040293706,0.0010174293,0.00038738552,0.0012290098,0.0011599096,0.0005140724],"category_scores_gemma":[0.0019804616,0.0009184577,0.00079847436,0.0007068419,0.00014123817,0.00024251289,0.00044873852,0.002154095,0.0008842299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031877696,0.0002569629,0.001086881,0.0005011159,0.00019434578,0.000033811593,0.0014093366,0.000009872231,0.0000017343267,0.039586127,0.95603824,0.00056280807],"study_design_scores_gemma":[0.0009965731,0.0006745248,0.0021927725,0.000002298799,0.00006796572,0.000020335388,0.00003049918,0.0003538239,0.000006249992,0.018807009,0.9756901,0.0011578498],"about_ca_topic_score_codex":0.0024696155,"about_ca_topic_score_gemma":0.00076322403,"teacher_disagreement_score":0.021783216,"about_ca_system_score_codex":0.001972816,"about_ca_system_score_gemma":0.00040175815,"threshold_uncertainty_score":0.9998937},"labels":[],"label_agreement":null},{"id":"W2117057706","doi":"10.1016/j.jeconom.2008.05.005","title":"","year":2010,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Layoff; Job loss; Consumption (sociology); Displaced workers; Demographic economics; Economics; Labour economics; Econometrics; Unemployment; Economic growth","score_opus":0.04645482609127482,"score_gpt":0.24596667997342042,"score_spread":0.1995118538821456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117057706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8518401,0.0018722703,0.0024141485,0.002607779,0.0001890882,0.000929662,0.0007543425,0.000043227963,0.13934939],"genre_scores_gemma":[0.78097767,0.0004043433,0.0010574249,0.000038631195,0.00003185626,1.9989045e-7,0.000054252425,0.000029451661,0.21740617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99595666,0.00062753283,0.00065069,0.0010754792,0.000553357,0.0011362691],"domain_scores_gemma":[0.9944778,0.0010394648,0.0009948614,0.0020373429,0.0009287642,0.00052176224],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009040878,0.00036287977,0.0011282739,0.00052914344,0.0025669378,0.000076333214,0.003944375,0.00039499835,0.3360233],"category_scores_gemma":[0.00054173096,0.00044468255,0.00057956233,0.0019168004,0.0026354897,0.0011764276,0.0023954152,0.0013263341,0.032871224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004048472,0.0013049389,0.0024464407,0.00048523923,0.0011256427,0.00052180164,0.0173852,0.00029187367,0.031843435,0.20888494,0.7284282,0.003233821],"study_design_scores_gemma":[0.003513547,0.00042370538,0.12902091,0.00004984572,0.000057758818,0.0000142123845,0.009042572,0.0016379384,0.0014192271,0.0023740046,0.8517986,0.0006476724],"about_ca_topic_score_codex":0.012595671,"about_ca_topic_score_gemma":0.014134075,"teacher_disagreement_score":0.30315208,"about_ca_system_score_codex":0.00036423793,"about_ca_system_score_gemma":0.0003167291,"threshold_uncertainty_score":0.9998005},"labels":[],"label_agreement":null},{"id":"W2117323684","doi":"10.1093/qje/qjt015","title":"Duration Dependence and Labor Market Conditions: Evidence from a Field Experiment*","year":2013,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":697,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Spell; Unemployment; Callback; Duration (music); Economics; Labour economics; Productivity; Demographic economics; Econometrics; Macroeconomics; Sociology","score_opus":0.025397371985160105,"score_gpt":0.23823021470496902,"score_spread":0.21283284271980893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117323684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913165,0.00210736,0.0009393351,0.004222307,0.00044026042,0.00015411976,0.00008319117,0.0000054205425,0.0007314934],"genre_scores_gemma":[0.99706984,0.0011378617,0.0008248411,0.0006188031,0.00018825276,0.000013173748,0.000002255872,0.00001143965,0.00013356098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986337,0.000054233362,0.0009489961,0.00018013942,0.00002370192,0.00015921684],"domain_scores_gemma":[0.99799687,0.0006052462,0.0009418375,0.00028279962,0.00008638967,0.000086833046],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009180412,0.00012423088,0.00030880223,0.00008254935,0.00010467404,0.00027465096,0.00031217726,0.000072470604,0.0014831015],"category_scores_gemma":[0.00016444974,0.000106149644,0.00008592351,0.00005788867,0.00005717177,0.0010854776,0.000024617666,0.00018150533,0.000068756366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048165512,0.00033778325,0.26669645,0.00006869801,0.00083709793,0.00002517349,0.014830032,0.00016488884,0.0014890991,0.6879972,0.007251196,0.019820724],"study_design_scores_gemma":[0.0006079259,0.00049410795,0.101676695,0.000071001145,0.000019185392,0.000038209193,0.001189359,0.0077545894,0.00020254435,0.8870289,0.0006537537,0.00026373647],"about_ca_topic_score_codex":0.0006560039,"about_ca_topic_score_gemma":0.00007481494,"teacher_disagreement_score":0.1990317,"about_ca_system_score_codex":0.000066112436,"about_ca_system_score_gemma":0.00002961423,"threshold_uncertainty_score":0.9994297},"labels":[],"label_agreement":null},{"id":"W2117333073","doi":"10.3386/w7937","title":"Does Comparable Worth Work in a Decentralized Labor Market?","year":2000,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Work (physics); Labour economics; Business; Economics; Engineering; Mechanical engineering","score_opus":0.24986170569211358,"score_gpt":0.44777871000471636,"score_spread":0.19791700431260278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117333073","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06926626,0.004041583,0.0000041638323,0.001280244,0.0012864111,0.0009280722,0.0023859271,0.00002494107,0.9207824],"genre_scores_gemma":[0.9216849,0.021260295,0.00037769933,0.000066613735,0.0005709656,0.00021688241,0.000824506,0.00010168876,0.05489642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948839,0.00022493227,0.002388417,0.0010769763,0.0005468726,0.0008788949],"domain_scores_gemma":[0.99654806,0.0010762094,0.00084925594,0.0006647317,0.00068220985,0.0001795479],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013422604,0.0003656291,0.0014544063,0.0017335728,0.00011170919,0.0001695371,0.00091489445,0.0006062853,0.0117267985],"category_scores_gemma":[0.001236632,0.00033976536,0.00030491242,0.00085969194,0.00026004063,0.00024489345,0.00018467207,0.0011358352,0.00041933238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007316571,0.00047002386,0.29467356,0.00038310082,0.00035906836,0.00002083365,0.000120317534,0.0007132732,7.545543e-7,0.6451891,0.055956762,0.0013815204],"study_design_scores_gemma":[0.0009698194,0.000031545398,0.06373971,0.00020232983,0.000004644123,0.0000021937358,0.00001652424,0.0007234804,0.0000027001045,0.6696458,0.26422495,0.00043629308],"about_ca_topic_score_codex":0.0071310117,"about_ca_topic_score_gemma":0.0023037873,"teacher_disagreement_score":0.865886,"about_ca_system_score_codex":0.003119931,"about_ca_system_score_gemma":0.0019530157,"threshold_uncertainty_score":0.9999054},"labels":[],"label_agreement":null},{"id":"W2117362921","doi":"10.1556/aoecon.51.2000-2001.1.2","title":"MEASURING THE GENEROSITY OF UNEMPLOYMENT BENEFIT SYSTEMS: EVIDENCE FROM HUNGARY AND ELSEWHERE IN CENTRAL EUROPE","year":2001,"lang":"en","type":"article","venue":"Acta Oeconomica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Generosity; Unemployment; Quarter (Canadian coin); Economics; Stock (firearms); Demographic economics; Population; Labour economics; Economic growth; Political science; Geography; Demography","score_opus":0.05162972136374343,"score_gpt":0.21719764717324933,"score_spread":0.1655679258095059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117362921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992107,0.0045960946,0.00005726575,0.00080495514,0.00031192286,0.00021979785,0.00019270186,0.0000130287035,0.0016972602],"genre_scores_gemma":[0.994338,0.005216888,0.000072717296,0.000099677374,0.00008715905,0.000008998727,0.000008002399,0.00001966474,0.00014894415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843794,0.00004670561,0.00076803606,0.00041972823,0.000030582392,0.0002970055],"domain_scores_gemma":[0.9988178,0.00022365015,0.0003833228,0.00047433798,0.00002443866,0.00007644063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828058,0.00015577232,0.00041567552,0.000070993774,0.00006623479,0.00009145328,0.00035416853,0.00007427596,0.00008409996],"category_scores_gemma":[0.00009669165,0.00014833291,0.0000596207,0.00011487622,0.00006181287,0.00026359747,0.00016580087,0.00014942586,0.000018556932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048684193,0.000051171028,0.9807289,0.000030079067,0.00004946438,0.0000037014408,0.00031295308,0.000892751,0.00022075268,0.017016634,0.000036042817,0.0006088657],"study_design_scores_gemma":[0.00044686891,0.000032256736,0.97361344,0.000097738994,0.000009970518,0.0000026370728,0.00006699752,0.014017217,0.00006993887,0.0053153797,0.0060741073,0.00025344943],"about_ca_topic_score_codex":0.006601019,"about_ca_topic_score_gemma":0.00072987826,"teacher_disagreement_score":0.013124466,"about_ca_system_score_codex":0.00014295195,"about_ca_system_score_gemma":0.000021174092,"threshold_uncertainty_score":0.997881},"labels":[],"label_agreement":null},{"id":"W2117547574","doi":"10.7208/9780226056845-007","title":"Child development and success or failure in the youth labor market","year":2000,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Youth unemployment; Variety (cybernetics); Unemployment; Job market; Economic growth; Political science; Labour economics; Economics","score_opus":0.026743359062771505,"score_gpt":0.2628771669563957,"score_spread":0.23613380789362418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117547574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.841712,0.00015863689,7.780683e-7,0.0014388475,0.000051680083,0.00033515214,0.00014911665,0.0000107803735,0.15614301],"genre_scores_gemma":[0.992182,0.0035856387,0.0002762167,0.00040861088,0.000066018154,0.00008198648,0.000025904434,0.000029188335,0.003344401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770105,0.00015097039,0.0007964356,0.00062502205,0.000073750554,0.0006527838],"domain_scores_gemma":[0.9989006,0.0003265021,0.00011060762,0.00053563586,0.000023846735,0.0001028098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004469785,0.00019531438,0.0003926261,0.00032065812,0.00021015144,0.00021907531,0.00056313863,0.000155544,0.0010081324],"category_scores_gemma":[0.00024293062,0.00016556031,0.000047087324,0.00040652227,0.00015461579,0.00021419436,0.00011738142,0.0005877399,0.000026220278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056319317,0.00051619904,0.6663021,0.00014548494,0.00008601012,0.00010245811,0.009511189,0.00026515385,6.396813e-7,0.052327905,0.00007230624,0.27010736],"study_design_scores_gemma":[0.002091221,0.000100432975,0.6977405,0.000111078174,0.0000026858195,0.000021197495,0.0034110798,0.0030318305,0.000006597998,0.010481075,0.2823203,0.00068205147],"about_ca_topic_score_codex":0.00023566093,"about_ca_topic_score_gemma":0.0038840764,"teacher_disagreement_score":0.28224796,"about_ca_system_score_codex":0.00027508524,"about_ca_system_score_gemma":0.000092935654,"threshold_uncertainty_score":0.9999051},"labels":[],"label_agreement":null},{"id":"W2118291254","doi":"","title":"The CEP-OECD institutions data set (1960-2004)","year":2006,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Sample (material); West germany; Political science; Demographic economics; Economy; Economic history; Economics","score_opus":0.14294396038627208,"score_gpt":0.38838789176666944,"score_spread":0.24544393138039736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118291254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93993425,0.0021493377,0.00009030499,0.013612428,0.0010661696,0.0009557906,0.014371964,0.000024172563,0.027795583],"genre_scores_gemma":[0.9873037,0.008865439,0.0017578825,0.00049630454,0.0007693339,0.00003670972,0.0002450431,0.000053521162,0.00047211398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98802817,0.0002103681,0.0036046547,0.0030272417,0.00040075765,0.0047288365],"domain_scores_gemma":[0.988098,0.0017731976,0.0011377025,0.0034753652,0.00089292775,0.00462276],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.023819797,0.0007426188,0.0018277531,0.0015680029,0.0016939649,0.0022515866,0.0058423374,0.00061594375,0.00020160357],"category_scores_gemma":[0.0071865786,0.00067176356,0.00031378592,0.0009834814,0.017721126,0.0017746891,0.008463843,0.0022951881,0.00010985107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060333816,0.00023206456,0.018933332,0.00011741663,0.00005361494,0.000002724983,0.000018967175,0.00033436684,0.000019489808,0.97944486,0.00022257221,0.0005602717],"study_design_scores_gemma":[0.001127448,0.0002985901,0.07143179,0.000113658425,0.000040754025,0.000023315704,0.00025731,0.066639006,0.00012868048,0.8224462,0.036485177,0.0010080184],"about_ca_topic_score_codex":0.020229608,"about_ca_topic_score_gemma":0.0025318374,"teacher_disagreement_score":0.15699859,"about_ca_system_score_codex":0.0019042492,"about_ca_system_score_gemma":0.008400996,"threshold_uncertainty_score":0.9996057},"labels":[],"label_agreement":null},{"id":"W2119045923","doi":"","title":"Unemployment insurance and unemployment assistance : a comparison","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Labour economics; Cash; Compensation (psychology); Income Support; Business; Economic growth; Finance; Macroeconomics","score_opus":0.06535977976767951,"score_gpt":0.31039601495100727,"score_spread":0.24503623518332776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119045923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9069957,0.0036799882,0.000032712855,0.0009630144,0.00080347696,0.0009880917,0.0011341616,0.00006298592,0.08533985],"genre_scores_gemma":[0.969075,0.026010465,0.00072969793,0.00014862987,0.00016829994,0.00035867695,0.00006782341,0.00010508874,0.0033363176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99447733,0.00020913992,0.002077061,0.0019203024,0.00016485214,0.0011513006],"domain_scores_gemma":[0.99676025,0.00042739167,0.00081527024,0.0015730152,0.00010063495,0.0003234389],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035993978,0.0005678169,0.0015137505,0.00068744976,0.00021981566,0.00038163504,0.0008828119,0.0006117299,0.0001989388],"category_scores_gemma":[0.00039807524,0.0007107119,0.00023145942,0.00027044694,0.00039919218,0.00015454624,0.0014514615,0.0020520703,0.000036449543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114193674,0.00072307466,0.8483759,0.0005359192,0.00022327276,0.000040948995,0.00073817855,0.0051917112,0.0000042194315,0.0839264,0.000110995,0.060015164],"study_design_scores_gemma":[0.0032062866,0.00034407276,0.38218522,0.00072940614,0.000014517706,0.000011132522,0.0003864751,0.14057235,0.000027388809,0.25649694,0.21320681,0.002819394],"about_ca_topic_score_codex":0.00054423104,"about_ca_topic_score_gemma":0.0007588565,"teacher_disagreement_score":0.4661907,"about_ca_system_score_codex":0.0015984384,"about_ca_system_score_gemma":0.000118001175,"threshold_uncertainty_score":0.9995344},"labels":[],"label_agreement":null},{"id":"W2120132030","doi":"","title":"Career and Skill Formation: A Dynamic Occupational Choice Model With Multidimensional Skills","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Human capital; Construct (python library); Similarity (geometry); Psychology; National Longitudinal Surveys; Labour economics; Computer science; Economics; Artificial intelligence; Economic growth","score_opus":0.03896093450006841,"score_gpt":0.3053596502390822,"score_spread":0.26639871573901375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120132030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698286,0.00043252308,0.0014697368,0.00035729582,0.00025971906,0.0008644648,0.001584721,0.00003941587,0.02516352],"genre_scores_gemma":[0.9846816,0.0037546055,0.008927328,0.0002308206,0.00010668755,0.0001672397,0.00051527226,0.00008478947,0.0015316522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963305,0.00007751866,0.0012940172,0.001253275,0.00018741803,0.00085727585],"domain_scores_gemma":[0.99739605,0.00061790954,0.0005546648,0.00092027267,0.00024335374,0.00026777547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032998892,0.00044048598,0.0008137052,0.00092546,0.00022079874,0.00019165254,0.00046426395,0.00057902205,0.00007438576],"category_scores_gemma":[0.00044323367,0.0004865167,0.00014632907,0.00020859716,0.0003165419,0.0003387822,0.00088986394,0.0014970644,0.00001550552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087886234,0.0014674366,0.34363,0.0012312656,0.00065344316,0.000109099645,0.0029248174,0.3522515,0.00001827699,0.23256889,0.000078976635,0.06418742],"study_design_scores_gemma":[0.0016307648,0.0000854435,0.1318272,0.00019967138,0.000008632365,0.000019140354,0.00012669699,0.8076239,0.0000051222846,0.05374732,0.0038021149,0.000923955],"about_ca_topic_score_codex":0.00030417333,"about_ca_topic_score_gemma":0.001865293,"teacher_disagreement_score":0.45537242,"about_ca_system_score_codex":0.0013477821,"about_ca_system_score_gemma":0.00036009157,"threshold_uncertainty_score":0.99975866},"labels":[],"label_agreement":null},{"id":"W2120598770","doi":"10.1353/cpp.0.0032","title":"Review of the Report of the Expert Panel on Older Workers","year":2009,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perspective (graphical); Dimension (graph theory); Displacement (psychology); Work (physics); Labour economics; Psychology; Economics; Engineering; Computer science","score_opus":0.04596605044054887,"score_gpt":0.2561074233271257,"score_spread":0.21014137288657686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120598770","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21851715,0.018892262,0.000023472241,0.41033444,0.0011249182,0.000950834,0.0009857194,0.000022924341,0.34914827],"genre_scores_gemma":[0.96818644,0.0013315134,0.000011727391,0.028553233,0.000103239014,0.0000069837065,0.000006239984,0.000009828663,0.001790811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987934,0.00003617724,0.0006141241,0.00020151612,0.000052011343,0.00030276267],"domain_scores_gemma":[0.9982171,0.000026035357,0.00049299194,0.0010194286,0.00006694799,0.00017749169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007924498,0.00010521114,0.00029047884,0.00016831602,0.00008532425,0.000022457734,0.0005790012,0.000072345014,0.00015574723],"category_scores_gemma":[0.001326332,0.00007392053,0.00019897411,0.0008366725,0.00008203473,0.000065499335,0.000031682182,0.00012693559,0.0000067079523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011136749,0.00003574205,0.03124158,0.00013231754,0.000028481716,0.0000031634215,0.000102718295,0.0000012223408,0.0000015526311,0.9277596,0.033725284,0.0069672246],"study_design_scores_gemma":[0.00015377227,0.000015874768,0.40109324,0.0006474311,0.0000036910894,0.00001346376,0.000014811708,0.000025283534,0.000010234191,0.031871248,0.5659837,0.00016722972],"about_ca_topic_score_codex":0.1084268,"about_ca_topic_score_gemma":0.012464673,"teacher_disagreement_score":0.8958883,"about_ca_system_score_codex":0.00028995296,"about_ca_system_score_gemma":0.00093700807,"threshold_uncertainty_score":0.89751023},"labels":[],"label_agreement":null},{"id":"W2121337585","doi":"","title":"Assessing the Benefits of the Transfer Credit System in British Columbia: A Feasibility Study.","year":2005,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Actuarial science","score_opus":0.038983501002296944,"score_gpt":0.24751584785133499,"score_spread":0.20853234684903804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121337585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895055,0.00030624072,0.0002004259,0.00032116755,0.0002564458,0.0006506981,0.00015787144,0.000019246296,0.008582379],"genre_scores_gemma":[0.99935806,0.0000153797,0.00004890043,0.00010043625,0.00007120588,0.000026033138,0.0000013900786,0.000012401228,0.00036621618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845,0.00009480779,0.00084630854,0.0003281848,0.000070276496,0.00021046931],"domain_scores_gemma":[0.99913704,0.00010947785,0.00013552236,0.0005382059,0.000050273553,0.00002946784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025530022,0.000080283484,0.00035061172,0.000026072508,0.0001419138,0.00039562274,0.00040112648,0.00007104739,0.00015245071],"category_scores_gemma":[0.00010754831,0.00008173114,0.000120681376,0.00037962565,0.000059588245,0.00024884153,0.000073314965,0.00018081805,0.000005375169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019588424,0.00032954523,0.9802726,0.000031183266,0.000018200566,8.169245e-7,0.00022945889,0.00018558846,8.8126325e-7,0.017215697,0.000032693784,0.0016813767],"study_design_scores_gemma":[0.0005835537,0.00002151624,0.9935698,0.000034751316,0.0000058101427,0.000002943753,0.0010147053,0.0027215045,0.0000018610357,0.001702243,0.00023246086,0.00010887766],"about_ca_topic_score_codex":0.039985117,"about_ca_topic_score_gemma":0.34291232,"teacher_disagreement_score":0.3029272,"about_ca_system_score_codex":0.00018401706,"about_ca_system_score_gemma":0.000028347804,"threshold_uncertainty_score":0.9664077},"labels":[],"label_agreement":null},{"id":"W2121423502","doi":"10.1111/jems.12020","title":"Product Market Competition and Returns to Talent","year":2013,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Competition (biology); Product market; Product (mathematics); Distribution (mathematics); Business; Labour economics; Dispersion (optics); Market competition; Economics; Industrial organization; Market economy","score_opus":0.021637255222841722,"score_gpt":0.21452785371196806,"score_spread":0.19289059848912635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121423502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247294,0.00035146394,0.0006170126,0.0027645791,0.0005003986,0.00038499854,0.00004656471,0.0000080877235,0.07059749],"genre_scores_gemma":[0.99395597,0.0016155648,0.0019130305,0.0004729445,0.00017864307,0.000012899093,0.000004565788,0.000020043632,0.0018263187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99836797,0.000022459888,0.0010374052,0.00029453554,0.0000274293,0.00025022283],"domain_scores_gemma":[0.9987359,0.000027706974,0.00072232715,0.00026922883,0.000073543946,0.00017130973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010810994,0.00016516,0.00043206033,0.00031469844,0.00006030054,0.00027444225,0.00024786487,0.00004373478,0.0009076103],"category_scores_gemma":[0.000025410043,0.00017685791,0.000098828816,0.000111490204,0.00003230716,0.00052197714,0.00010767694,0.00014354149,0.0001074503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000484773,0.000135687,0.01144399,0.00010406178,0.00024018079,0.0000127951935,0.00009690094,0.0008016605,0.000010862404,0.9769078,0.003920112,0.0062775095],"study_design_scores_gemma":[0.0011348284,0.00034211535,0.27998132,0.000057510035,0.000032046308,0.00003551356,0.00043035467,0.0036349925,0.000015718462,0.67088664,0.042931087,0.0005178734],"about_ca_topic_score_codex":0.000076192955,"about_ca_topic_score_gemma":0.000033567965,"teacher_disagreement_score":0.30602112,"about_ca_system_score_codex":0.00013592117,"about_ca_system_score_gemma":0.00001194628,"threshold_uncertainty_score":0.9937696},"labels":[],"label_agreement":null},{"id":"W2121563175","doi":"10.1353/eca.2012.0018","title":"The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market","year":2012,"lang":"en","type":"article","venue":"Brookings Papers on Economic Activity","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Generalitat de Catalunya","keywords":"Consensus forecast; Survey of Professional Forecasters; Quarter (Canadian coin); Unemployment; Recession; Economics; Econometrics; Forecast error; Forecast period; Nowcasting; Real-time data; Term (time); Finance; Macroeconomics; Computer science; Meteorology; Monetary policy; Geography","score_opus":0.035811441165258744,"score_gpt":0.2385705827025084,"score_spread":0.20275914153724964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121563175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98495144,0.00027498757,0.00012195901,0.0011882259,0.0006243953,0.00046965797,0.00046115948,0.000030757412,0.011877427],"genre_scores_gemma":[0.99834067,0.00009205502,0.00021052016,0.0005213501,0.00019781463,0.00003556319,0.0000020847035,0.00005934879,0.00054059975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982638,0.00006979447,0.0005992069,0.00041484865,0.00005377058,0.0005985883],"domain_scores_gemma":[0.99797446,0.0006640138,0.000636078,0.00053669844,0.00002817068,0.0001606022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022149114,0.00027004693,0.0004595841,0.00009968696,0.0003948358,0.00012991844,0.00034734423,0.00011046923,0.000068751215],"category_scores_gemma":[0.00032826487,0.00021030975,0.00013132443,0.0001582121,0.00010327151,0.0003416102,0.00022150518,0.0002229382,0.000015252349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007681603,0.00028925308,0.6232111,0.00012717374,0.00048156592,0.0000018338109,0.0030447973,0.0018631715,0.00093172817,0.31102154,0.00041760667,0.057842072],"study_design_scores_gemma":[0.002125305,0.00036661382,0.68722814,0.00014539194,0.00008042453,0.000022691824,0.00079361245,0.13796985,0.0009153157,0.020846324,0.14796646,0.0015398586],"about_ca_topic_score_codex":0.00061526743,"about_ca_topic_score_gemma":0.00061880186,"teacher_disagreement_score":0.2901752,"about_ca_system_score_codex":0.00033869105,"about_ca_system_score_gemma":0.000036365105,"threshold_uncertainty_score":0.8576183},"labels":[],"label_agreement":null},{"id":"W2122480538","doi":"10.1353/cpp.0.0052","title":"The Evolution of the Returns to Human Capital in Canada, 1980–2005","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Human capital; Census; Demographic economics; Wage; Economics; Period (music); Capital (architecture); Geography; Labour economics; Demography; Economic growth; Sociology; Population","score_opus":0.01149483146546246,"score_gpt":0.2039322957384073,"score_spread":0.19243746427294484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122480538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94393253,0.00007275576,0.0000028395184,0.034425437,0.0005534955,0.00016546213,0.00083764724,0.0000033241984,0.020006504],"genre_scores_gemma":[0.99746656,0.0000045610677,0.0000069556168,0.0010424022,0.00016953559,0.000015003607,0.0000060253096,0.0000127181365,0.001276245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987347,0.000023726489,0.00042261658,0.00019422834,0.000048763606,0.00057594036],"domain_scores_gemma":[0.9987628,0.000038590235,0.00015496652,0.0006056118,0.000046080135,0.00039198567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007477048,0.00009640743,0.00016224687,0.00030660068,0.00024637047,0.00007594181,0.0006527144,0.000071252936,0.00007973026],"category_scores_gemma":[0.00074077945,0.00007926366,0.00005174034,0.0006520882,0.00007182,0.000089093744,0.00005925367,0.00027039854,0.000010808364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[4.771466e-7,0.0000035525413,0.16320342,0.0000019900194,0.0000052051246,6.375497e-7,0.00011857832,0.000002411773,0.000010858132,0.83551234,0.0008982537,0.00024227107],"study_design_scores_gemma":[0.000111032925,0.0000046439527,0.79852384,0.0000026076884,6.5105274e-7,0.0000014983402,0.0001428361,0.00013866198,0.000003269753,0.09111471,0.10983395,0.00012229178],"about_ca_topic_score_codex":0.9996244,"about_ca_topic_score_gemma":0.9999933,"teacher_disagreement_score":0.74439764,"about_ca_system_score_codex":0.0032760731,"about_ca_system_score_gemma":0.007106133,"threshold_uncertainty_score":0.99852264},"labels":[],"label_agreement":null},{"id":"W2123208190","doi":"10.2307/3552508","title":"Structural Unemployment: How Important Are Labour Market Policies and Institutions?","year":2000,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03422140265415706,"score_gpt":0.23589963907904538,"score_spread":0.2016782364248883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123208190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8901726,0.00086194876,0.000003730679,0.05621161,0.00014250453,0.00014682762,0.0041536223,0.000039252674,0.048267897],"genre_scores_gemma":[0.98374534,0.0004920873,0.000040582334,0.0046705157,0.00028371025,0.00001599862,0.000049573435,0.00002343822,0.010678771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844986,0.000024798706,0.00039371848,0.00036733845,0.00004152285,0.0007227767],"domain_scores_gemma":[0.9985731,0.000018883073,0.00017435753,0.00040212926,0.000043219658,0.0007882809],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037980132,0.00020127108,0.00031509885,0.0006447005,0.0003593753,0.00051249145,0.00027106563,0.00012934214,0.00207381],"category_scores_gemma":[0.00029168965,0.0002257703,0.000066455956,0.0006642057,0.00016720755,0.00044127807,0.000034316126,0.00015558816,0.00003448575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019750696,0.000005007743,0.22179607,0.000011483151,0.000025437093,0.000009810242,0.00007175248,0.0000010743162,2.237451e-7,0.7739602,0.0018532266,0.0022637679],"study_design_scores_gemma":[0.00025948466,0.000011271077,0.3982328,0.000005417467,0.0000019461538,0.0000191197,0.000031724063,0.00058417383,3.6878382e-7,0.06896025,0.5316299,0.00026351618],"about_ca_topic_score_codex":0.32816,"about_ca_topic_score_gemma":0.24876471,"teacher_disagreement_score":0.7049999,"about_ca_system_score_codex":0.0005182995,"about_ca_system_score_gemma":0.0007545673,"threshold_uncertainty_score":0.9988384},"labels":[],"label_agreement":null},{"id":"W2123335560","doi":"10.1111/j.1540-5982.2008.00506.x","title":"Wage distribution in Japan, 1989–2003","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Distribution (mathematics); Variance (accounting); Decomposition; Econometrics; Demographic economics; Parametric statistics; Labour economics; Statistics; Mathematics; Biology","score_opus":0.11296105385760938,"score_gpt":0.17663424780776968,"score_spread":0.0636731939501603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123335560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910673,0.0006514383,0.00034103647,0.001203511,0.001870241,0.00022290868,0.0015399214,0.0000064360775,0.0030972154],"genre_scores_gemma":[0.9975758,0.00048464123,0.00030474993,0.00043963193,0.00037061266,0.000012498839,0.000090798334,0.00005053087,0.0006707072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99672616,0.000057114205,0.0018350497,0.00046113686,0.0000020224795,0.0009185285],"domain_scores_gemma":[0.99685997,0.00007980584,0.0010655046,0.0004804374,0.00019703868,0.0013172552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017863552,0.00030653382,0.0009481558,0.00081517984,0.00019052725,0.00009169711,0.00060495554,0.00026818764,0.00040602125],"category_scores_gemma":[0.00065392064,0.00041734613,0.00023057323,0.00044990386,0.00019516097,0.0006080001,0.000024682315,0.00050551305,0.00008184907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024079463,0.000022484668,0.20247924,0.000015279213,0.00005455089,0.00023851192,0.00062381214,0.0010935208,0.0000011075658,0.79433095,0.0004300556,0.0006864032],"study_design_scores_gemma":[0.0021531638,0.0003554476,0.1793498,0.000094950134,0.00001585117,0.00094959687,0.00027986424,0.004220981,0.000025782987,0.6844932,0.12690465,0.0011567516],"about_ca_topic_score_codex":0.22961868,"about_ca_topic_score_gemma":0.9275817,"teacher_disagreement_score":0.69796306,"about_ca_system_score_codex":0.0031873598,"about_ca_system_score_gemma":0.0013939803,"threshold_uncertainty_score":0.99982786},"labels":[],"label_agreement":null},{"id":"W2123422090","doi":"10.1017/s1365100514000789","title":"EFFECTS OF EXTENDED UNEMPLOYMENT INSURANCE BENEFITS ON LABOR DYNAMICS","year":2015,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Economics; Recession; Business cycle; Labour economics; Value (mathematics); Compensation (psychology); Productivity; Macroeconomics","score_opus":0.016883725009587316,"score_gpt":0.2240680832190394,"score_spread":0.20718435820945208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123422090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791731,0.00071116415,0.0015247037,0.0007191512,0.0016144657,0.00055803003,0.0030338073,0.000091847396,0.012573678],"genre_scores_gemma":[0.9968502,0.00029435006,0.00082112884,0.00050351163,0.00009493669,0.000061886145,0.00017185774,0.00008980689,0.001112316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719906,0.00005179242,0.001304547,0.00077502866,0.000090000096,0.00057958375],"domain_scores_gemma":[0.9976879,0.00021660078,0.0008798488,0.0008124251,0.00012012788,0.00028310707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009516389,0.00041861623,0.00094772957,0.0003168986,0.00009042796,0.000081902246,0.0006270636,0.00022829491,0.000039839575],"category_scores_gemma":[0.00026398693,0.00049624953,0.0002224383,0.0003181858,0.000140835,0.00023240026,0.00018939316,0.0002864966,0.0002767697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013705486,0.00037625196,0.09891779,0.00013122079,0.00011232991,0.000009769402,0.00014702954,0.0036641725,0.0000033902152,0.88924176,0.000082036444,0.007177172],"study_design_scores_gemma":[0.0052164234,0.00072499336,0.22417733,0.00013716063,0.000033209162,0.000010256127,0.00015202409,0.4056068,0.00020029293,0.36000884,0.002314587,0.0014181136],"about_ca_topic_score_codex":0.0005207057,"about_ca_topic_score_gemma":0.000586126,"teacher_disagreement_score":0.529233,"about_ca_system_score_codex":0.0013113166,"about_ca_system_score_gemma":0.0000733054,"threshold_uncertainty_score":0.9997489},"labels":[],"label_agreement":null},{"id":"W2123605196","doi":"10.7202/601435ar","title":"Demande de travail et d’heures supplémentaires : étude empirique pour le Canada et le Québec","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.021209432009692233,"score_gpt":0.23306797533646714,"score_spread":0.2118585433267749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123605196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7901208,0.0070731607,0.0037949742,0.18060243,0.00065582234,0.00039260462,0.0014188243,0.0000644294,0.015876994],"genre_scores_gemma":[0.94655824,0.0022561338,0.0013777127,0.0366905,0.0003309559,0.00004572698,0.00013925423,0.000086703636,0.01251477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959848,0.00043969558,0.0014901187,0.0009746902,0.00005593229,0.0010547874],"domain_scores_gemma":[0.9973602,0.00063089776,0.00072395406,0.0008084909,0.00008067658,0.0003957638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002336876,0.00060883706,0.0010598338,0.00016956723,0.00025540206,0.0003702289,0.0006975434,0.00046473954,0.0004556455],"category_scores_gemma":[0.00045056085,0.0008081791,0.00032859726,0.00019610378,0.00013651245,0.0006433338,0.00012441132,0.00070378743,0.000046545694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096292795,0.0006864233,0.036765117,0.00011633163,0.0002464614,0.00007411774,0.002582292,0.0018118606,0.00007371518,0.9304366,0.017199717,0.009911046],"study_design_scores_gemma":[0.0024556485,0.00022761762,0.37063998,0.00013586655,0.000034694163,0.00005583176,0.001154418,0.0052813357,0.0006882219,0.21657023,0.40118936,0.0015668088],"about_ca_topic_score_codex":0.9823106,"about_ca_topic_score_gemma":0.99181104,"teacher_disagreement_score":0.7138664,"about_ca_system_score_codex":0.0016581744,"about_ca_system_score_gemma":0.007412184,"threshold_uncertainty_score":0.9994369},"labels":[],"label_agreement":null},{"id":"W2124493100","doi":"10.1016/j.labeco.2010.01.006","title":"Career progression and comparative advantage","year":2010,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Simplicity; Space (punctuation); Interpersonal communication; Selection (genetic algorithm); Interpretation (philosophy); Economics; Psychology; Computer science; Econometrics; Social psychology; Artificial intelligence","score_opus":0.03565099391124925,"score_gpt":0.2582944103044113,"score_spread":0.22264341639316204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124493100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697093,0.00025875345,0.0001366265,0.00046492968,0.00077417487,0.00017752092,0.0004979798,0.000039776693,0.027940962],"genre_scores_gemma":[0.99593127,0.00022026004,0.002572646,0.00030177456,0.00011717223,0.00001898258,0.000027682343,0.00001877583,0.00079142285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988214,0.000010875067,0.00046348904,0.0004210555,0.000014144832,0.0002690794],"domain_scores_gemma":[0.99914336,0.000056675774,0.00028006473,0.000353747,0.000031998497,0.00013416269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005161893,0.00016846997,0.00038770048,0.00008976997,0.000113442205,0.00013968926,0.00018686787,0.00013430223,0.0003148674],"category_scores_gemma":[0.000043657306,0.00018614045,0.000056808327,0.000074808326,0.000099274446,0.00028060342,0.00011123298,0.00028093043,0.00013031655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012657294,0.00003372198,0.10833324,0.000012448279,0.000019463881,0.0000014784691,0.00020833756,0.000005695025,0.000058286376,0.8902809,0.0000089274545,0.0010248544],"study_design_scores_gemma":[0.00074971,0.000054264117,0.14461651,0.0000064924516,0.000004610747,0.000009633436,0.00012349748,0.0013691142,0.00015141789,0.70247865,0.14997242,0.00046369145],"about_ca_topic_score_codex":0.000074569725,"about_ca_topic_score_gemma":0.00038873972,"teacher_disagreement_score":0.18780226,"about_ca_system_score_codex":0.000035060515,"about_ca_system_score_gemma":0.000017586997,"threshold_uncertainty_score":0.7590587},"labels":[],"label_agreement":null},{"id":"W2124500547","doi":"","title":"Whither the workweek","year":2005,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Labour economics; Demographic economics; Work hours; Working hours","score_opus":0.02556805166339829,"score_gpt":0.2125309460390501,"score_spread":0.1869628943756518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124500547","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2688376,0.0007167612,0.0066071735,0.017544318,0.00026294898,0.00010939244,0.000031581327,0.00005332429,0.7058369],"genre_scores_gemma":[0.9756021,0.000055390065,0.00087217137,0.00269576,0.00019508533,0.000008132881,0.0000018677757,0.000010556216,0.020558972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938834,0.000008734282,0.00026354482,0.00016120673,0.000017296903,0.0001608988],"domain_scores_gemma":[0.9995312,0.00004040288,0.00008052086,0.00030462042,0.000011941634,0.00003132158],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005897929,0.000066812776,0.00011488363,0.000029170178,0.00007130245,0.00006178134,0.00019601131,0.00003631517,0.0032653986],"category_scores_gemma":[0.00003689735,0.00004732753,0.000058592916,0.00013024922,0.000028582168,0.000097271884,0.00003794945,0.00008073756,0.0016902994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024230135,0.00002578058,0.020274427,0.0000010699765,0.000011861341,2.6029755e-7,0.000095536896,0.000035824316,8.322768e-7,0.97250533,0.0020650853,0.0049815853],"study_design_scores_gemma":[0.00018876133,0.000009249967,0.034994055,0.0000015418228,0.0000014233422,0.0000010655641,0.00003257972,0.00419435,0.0000073419887,0.25913888,0.70128304,0.00014772122],"about_ca_topic_score_codex":0.00012050246,"about_ca_topic_score_gemma":0.000143914,"teacher_disagreement_score":0.71336645,"about_ca_system_score_codex":0.000030426738,"about_ca_system_score_gemma":0.000004419485,"threshold_uncertainty_score":0.999087},"labels":[],"label_agreement":null},{"id":"W2124754362","doi":"","title":"The Determinants of Participation in Adult Education and Training in Canada","year":2002,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Disadvantaged; Training (meteorology); Probit model; Government (linguistics); Demographic economics; Redistribution (election); Probit; Work (physics); Business; Economics; Psychology; Economic growth; Political science; Econometrics; Geography","score_opus":0.026522684071812217,"score_gpt":0.2362333697282545,"score_spread":0.2097106856564423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124754362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946746,0.00039281443,0.0000016034215,0.00037212681,0.00012971663,0.000057759808,0.000012257977,9.550021e-7,0.0043581673],"genre_scores_gemma":[0.9994255,0.00025120281,0.00002194997,0.00016881114,0.000010122048,0.000017337083,9.4368875e-7,0.000003705315,0.00010045294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942774,0.000015330766,0.0003313028,0.00009852407,0.00001720282,0.00010991437],"domain_scores_gemma":[0.9997001,0.000067150715,0.00010614642,0.00009572229,0.000012735853,0.000018144448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026585255,0.000039850573,0.000109727756,0.000033120934,0.000022288941,0.000011318102,0.000046360135,0.000020189274,0.00003917258],"category_scores_gemma":[0.00016483407,0.00003660641,0.000008124199,0.000100468205,0.000012835955,0.000076921286,0.000009679477,0.000045618726,0.0000014670512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026417504,0.000023400418,0.91900945,0.0000084972025,0.0000013517983,5.9834963e-7,0.0010146793,0.00001685558,0.0000032901792,0.02649524,0.0000142554945,0.05340977],"study_design_scores_gemma":[0.0001766877,0.0000073499996,0.97072625,0.000013940518,6.1709454e-7,3.5854902e-7,0.00039014954,0.017780896,0.000005373016,0.009411215,0.0014230331,0.00006415319],"about_ca_topic_score_codex":0.45206842,"about_ca_topic_score_gemma":0.94523555,"teacher_disagreement_score":0.49316713,"about_ca_system_score_codex":0.00008901875,"about_ca_system_score_gemma":0.00005733214,"threshold_uncertainty_score":0.5515803},"labels":[],"label_agreement":null},{"id":"W2126170407","doi":"10.1111/j.1468-232x.2006.00424.x","title":"Minimum Wage Impacts from a Prespecified Research Design: Canada 1981–1997","year":2006,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Minimum wage; Economics; Wage; Econometrics; Point (geometry); Range (aeronautics); Percentage point; Labour economics; Mathematics; Engineering","score_opus":0.11937105458344682,"score_gpt":0.2712530477495379,"score_spread":0.15188199316609108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126170407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754652,0.0019287032,0.0036199538,0.0030025404,0.00060413335,0.0002691439,0.0005889326,0.000006679518,0.014514734],"genre_scores_gemma":[0.9968514,0.00017328338,0.001232048,0.00010702676,0.0009484336,0.0000046166324,0.000020955677,0.000014692056,0.0006475536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998078,0.00012382769,0.0011618508,0.00023654349,0.000082325714,0.00031748507],"domain_scores_gemma":[0.99765766,0.0010736805,0.0007302059,0.00019997101,0.00017374029,0.00016473867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031113669,0.00013760803,0.00042657458,0.00010708255,0.00031153724,0.0002020859,0.0002107878,0.00027408765,0.00027564965],"category_scores_gemma":[0.0003991019,0.00014355297,0.00017599712,0.00027192105,0.00010020099,0.00039435696,0.0000544958,0.0007835385,0.000007381198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038356002,0.000392783,0.14990574,0.000017337861,0.0009394342,0.00006684601,0.0019727647,0.0025622807,0.00005624981,0.5895579,0.25213236,0.0020127378],"study_design_scores_gemma":[0.005349384,0.00024476994,0.04258978,0.00008578153,0.000046024034,0.000017712076,0.0009646096,0.006335507,0.00006819824,0.5361096,0.4076115,0.0005771227],"about_ca_topic_score_codex":0.11009515,"about_ca_topic_score_gemma":0.012754366,"teacher_disagreement_score":0.15547912,"about_ca_system_score_codex":0.00049420673,"about_ca_system_score_gemma":0.00073094666,"threshold_uncertainty_score":0.8958308},"labels":[],"label_agreement":null},{"id":"W2127628138","doi":"10.5539/jpl.v7n1p37","title":"Where Are the Ugandan Youth? Socio-Economic Characteristics and Implications for Youth Employment in Uganda","year":2014,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Residence; Population; Informal sector; Educational attainment; Demographic economics; Youth unemployment; Political science; Economic growth; Economics; Sociology; Unemployment; Demography","score_opus":0.028472585218327715,"score_gpt":0.2512049992250466,"score_spread":0.22273241400671887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127628138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908872,0.0006737728,0.0011609573,0.0046196408,0.0002258269,0.00011229472,0.0014993347,0.000002792527,0.00081814703],"genre_scores_gemma":[0.998244,0.000748826,0.00013155768,0.00055386795,0.00023898203,0.0000032119085,0.000009284259,0.000014181464,0.000056100253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897534,0.00002114016,0.00065175036,0.00013311711,0.000019506057,0.00019912997],"domain_scores_gemma":[0.9989884,0.00012974802,0.0005806619,0.00015301604,0.000052604355,0.00009557733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093659165,0.00010313954,0.00034039945,0.000060511265,0.00014052444,0.00013187318,0.00012157299,0.00006560367,0.000004897429],"category_scores_gemma":[0.000059574984,0.000084389816,0.00007213395,0.000026708422,0.00009421076,0.00008875876,0.0000372159,0.00012984966,8.8629844e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008137315,0.000025677258,0.18544185,0.000024192559,0.000024178667,1.9683516e-7,0.0010101696,0.0000031203524,0.0000013225074,0.8131785,0.000022101607,0.0002605645],"study_design_scores_gemma":[0.0016751117,0.0002108045,0.3595597,0.000080034995,0.000056149805,0.000013749903,0.0022029472,0.0008805458,0.00000384578,0.603988,0.031024199,0.0003049021],"about_ca_topic_score_codex":0.00031463802,"about_ca_topic_score_gemma":0.00019905217,"teacher_disagreement_score":0.20919049,"about_ca_system_score_codex":0.000076341945,"about_ca_system_score_gemma":0.00002059866,"threshold_uncertainty_score":0.34413168},"labels":[],"label_agreement":null},{"id":"W2127816127","doi":"","title":"Do university enrollment constraints affect education and earnings","year":2002,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Riksbankens Jubileumsfond","keywords":"Earnings; Affect (linguistics); Instrumental variable; Demographic economics; Educational attainment; Quarter (Canadian coin); Higher education; Economics; Panel data; Labour economics; Psychology; Econometrics; Accounting; Economic growth; Geography","score_opus":0.018294455461623966,"score_gpt":0.21922209144725616,"score_spread":0.20092763598563218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127816127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88321084,0.0035992002,0.00039274036,0.00043345336,0.0034446015,0.0006677688,0.0015000167,0.000119675075,0.10663169],"genre_scores_gemma":[0.99000907,0.0018416934,0.0010461784,0.00022823151,0.00030802478,0.000025661084,0.00011307953,0.0000610481,0.0063670063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670655,0.00015058914,0.0009718794,0.0015085841,0.00009157107,0.00057084026],"domain_scores_gemma":[0.9970054,0.00023525789,0.0013070576,0.0009677834,0.00011462543,0.00036988614],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012473117,0.00061550614,0.0011635013,0.00063380005,0.0002963659,0.00026331004,0.00055585534,0.00068810786,0.00405392],"category_scores_gemma":[0.0002515237,0.0008243438,0.00036298274,0.000200885,0.0006329644,0.00027247518,0.0006486673,0.0010278373,0.00045817322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001954537,0.0002658321,0.8949725,0.00022879824,0.00022488191,0.000018735938,0.0005821147,0.000023070435,0.000003007894,0.0994553,0.0017626382,0.0024435539],"study_design_scores_gemma":[0.0020556683,0.00015180008,0.83696544,0.00043687105,0.00011719149,0.00009618525,0.00071903015,0.0013443589,0.000010395616,0.04018194,0.11538549,0.0025356465],"about_ca_topic_score_codex":0.0004930451,"about_ca_topic_score_gemma":0.00006671278,"teacher_disagreement_score":0.11362285,"about_ca_system_score_codex":0.0009164667,"about_ca_system_score_gemma":0.00038489842,"threshold_uncertainty_score":0.99942076},"labels":[],"label_agreement":null},{"id":"W2128748041","doi":"10.1007/s11187-014-9552-x","title":"New firms and labor market entrants: Is there a wage penalty for employment in new firms?","year":2014,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Labour economics; Wage; Disadvantage; Matching (statistics); Economics; Point (geometry); Entrepreneurship; Efficiency wage; Propensity score matching; Business","score_opus":0.024901278556807887,"score_gpt":0.21519778413123558,"score_spread":0.1902965055744277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128748041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754963,0.0011399271,0.009955901,0.0071573365,0.00069129065,0.0006473735,0.00066977245,0.000039183567,0.004202918],"genre_scores_gemma":[0.9799219,0.003768532,0.0057034455,0.00220019,0.0004342915,0.000048590584,0.00008229142,0.00010797986,0.007732802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976252,0.000024005712,0.0009799292,0.0007900945,0.00002356841,0.00055725005],"domain_scores_gemma":[0.9985104,0.00019431548,0.0004451757,0.000559486,0.00005568876,0.00023492114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010063646,0.0003503837,0.00075565255,0.00020487265,0.00009092911,0.0002492221,0.00037766347,0.00021402966,0.00084466557],"category_scores_gemma":[0.00019712905,0.00039218666,0.0001233823,0.00023444506,0.00004001508,0.00030781643,0.00013013565,0.000146355,0.00004403324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035248956,0.00017484551,0.52981496,0.00028363414,0.00013826808,0.0000044371563,0.0006426391,0.00029112914,0.000004406266,0.43761912,0.002853416,0.027820656],"study_design_scores_gemma":[0.003481685,0.00006828051,0.5315596,0.000063175925,0.000016243606,0.000003957426,0.0000356355,0.017668627,0.00001538711,0.25078347,0.19558714,0.0007167951],"about_ca_topic_score_codex":0.004964484,"about_ca_topic_score_gemma":0.0060669207,"teacher_disagreement_score":0.19273373,"about_ca_system_score_codex":0.00017640878,"about_ca_system_score_gemma":0.00015014339,"threshold_uncertainty_score":0.999853},"labels":[],"label_agreement":null},{"id":"W2129314890","doi":"10.1111/j.1754-9434.2011.01316.x","title":"A Macro Perspective to Micro Issues","year":2011,"lang":"en","type":"article","venue":"Industrial and Organizational Psychology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Macro; Perspective (graphical); Micro level; Psychology; Engineering ethics; Computer science; Engineering; Artificial intelligence; Civil engineering","score_opus":0.09911832982709028,"score_gpt":0.29209727282784465,"score_spread":0.19297894300075435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129314890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.905516,0.00059368013,0.003242258,0.013258963,0.0015684856,0.00030899953,0.0004135604,0.00006109843,0.07503692],"genre_scores_gemma":[0.99482465,0.000060198843,0.0010804755,0.002564769,0.0004265568,0.000005770273,0.000016095943,0.000019271138,0.0010022298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909306,0.000022037606,0.00031203753,0.00037898874,0.000022650705,0.00017122143],"domain_scores_gemma":[0.9995364,0.00002209057,0.00009844359,0.00015322227,0.00009511257,0.00009471794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027699844,0.00010505287,0.00020886693,0.00013187662,0.000072474926,0.000025952117,0.00013982492,0.00016448824,0.0023322885],"category_scores_gemma":[0.0002704343,0.00011450066,0.000024401023,0.00036035833,0.00005740934,0.00006691817,0.00006090531,0.00012363454,0.00031582758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005796037,0.000078750185,0.14164138,0.0000010252286,0.000031549072,0.0000040553055,0.000909956,3.1239188e-7,0.00006248913,0.8545919,0.0024241426,0.0001964727],"study_design_scores_gemma":[0.00094565,0.00014791549,0.16057847,0.0000034951597,0.0000047969684,0.000015494803,0.00012980303,0.000006557197,0.00010337619,0.793607,0.044196352,0.00026105656],"about_ca_topic_score_codex":0.0004300035,"about_ca_topic_score_gemma":0.000020051444,"teacher_disagreement_score":0.0893086,"about_ca_system_score_codex":0.000037651796,"about_ca_system_score_gemma":0.000016204673,"threshold_uncertainty_score":0.99857974},"labels":[],"label_agreement":null},{"id":"W2129401100","doi":"10.1257/app.6.2.178","title":"Do Male-Female Wage Differentials Reflect Differences in the Return to Skill? Cross-City Evidence from 1980–2000","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Economics; Labour economics; Wage growth; Gender gap; Demographic economics","score_opus":0.03758398408137164,"score_gpt":0.2716553536260957,"score_spread":0.23407136954472407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129401100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848318,0.00021428872,0.0019623989,0.0013898276,0.0008962481,0.0004529361,0.00043544368,0.000028872326,0.009788174],"genre_scores_gemma":[0.9937833,0.0013223593,0.0012719178,0.0022808693,0.0009255068,0.000082797684,0.000020244246,0.00006977194,0.00024323216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99525857,0.00017390869,0.0023359747,0.001200915,0.000069027876,0.00096160563],"domain_scores_gemma":[0.9953695,0.0011376959,0.001901311,0.0011958004,0.000031925272,0.00036378557],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040824795,0.00056748703,0.0015737814,0.00039764072,0.0003669116,0.001331787,0.0018854724,0.00017141472,0.00096303254],"category_scores_gemma":[0.00026125906,0.00051422877,0.0003483487,0.00026615878,0.00036667398,0.0005521488,0.00027803725,0.00081685715,0.00076539523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031154897,0.00016200032,0.8487944,0.000012536949,0.00019095717,0.000006199736,0.0040709754,0.0016609712,0.00003154637,0.12968583,0.00013389745,0.0149391405],"study_design_scores_gemma":[0.0011372901,0.00025789978,0.77834517,0.00005438452,0.000026834025,0.000040993935,0.0008508926,0.0029783135,0.000057117362,0.2093993,0.005646439,0.0012053549],"about_ca_topic_score_codex":0.0027587723,"about_ca_topic_score_gemma":0.001420339,"teacher_disagreement_score":0.079713464,"about_ca_system_score_codex":0.0010758741,"about_ca_system_score_gemma":0.00012699043,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W2130161291","doi":"","title":"The Transition to Work for Canadian University Graduates: Time to First Job, 1982-1990","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Graduation (instrument); Demographic economics; Work (physics); Demography; Proportional hazards model; Psychology; Statistics; Economics; Sociology; Mathematics; Engineering","score_opus":0.028202218772897702,"score_gpt":0.2467023129590956,"score_spread":0.2185000941861979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130161291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7471223,0.0002603375,0.00019771451,0.041581195,0.001026789,0.005107759,0.0105715925,0.00007753868,0.19405478],"genre_scores_gemma":[0.9694467,0.0047235438,0.0014570324,0.0011996648,0.00040820285,0.00034452544,0.00042212367,0.00015733174,0.021840855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965685,0.00010701876,0.00084575114,0.0012029789,0.00007006878,0.0012056526],"domain_scores_gemma":[0.99723697,0.00062045344,0.00017332858,0.0011928286,0.00010331436,0.0006731371],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037069635,0.00033783363,0.0006805634,0.0008871068,0.00074680155,0.0003540853,0.0012485655,0.00043224634,0.00030904476],"category_scores_gemma":[0.0004116006,0.0004053722,0.0002921494,0.00046781707,0.00013217215,0.00010132777,0.00032060122,0.00085221813,0.00039479227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047231577,0.00079838734,0.031359397,0.0009807764,0.0015921243,0.0002189715,0.0112535,0.29806048,0.0000062259546,0.29547176,0.017549152,0.33798605],"study_design_scores_gemma":[0.00059158145,0.00012346922,0.012276918,0.00014017742,0.000007044561,0.0000012526087,0.00018409704,0.00879436,0.0000015070251,0.057210665,0.919858,0.0008109488],"about_ca_topic_score_codex":0.035674606,"about_ca_topic_score_gemma":0.17535754,"teacher_disagreement_score":0.9023088,"about_ca_system_score_codex":0.0032036342,"about_ca_system_score_gemma":0.00051540177,"threshold_uncertainty_score":0.99983984},"labels":[],"label_agreement":null},{"id":"W2130195140","doi":"10.1111/1468-2354.t01-1-00057","title":"Discrimination and Skill Differences in an Equilibrium Search Model*","year":2002,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Productivity; Unemployment; Human capital; Wage; Economics; Labour economics; Sample (material); Statistical discrimination; Race (biology); Structural estimation; Capital (architecture); Econometrics; Demographic economics; Sociology; Macroeconomics; Geography; Economic growth","score_opus":0.0917769845080073,"score_gpt":0.2965271465270556,"score_spread":0.20475016201904828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130195140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536249,0.01614722,0.00042693745,0.004349009,0.00032565944,0.00023110693,0.00024065928,0.00001643279,0.024638094],"genre_scores_gemma":[0.9560734,0.04229779,0.00021995507,0.00055904116,0.000058128426,0.000026673462,0.00004706243,0.000009234148,0.0007087393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987627,0.000027305352,0.0006494545,0.0003741736,0.00003201152,0.0001543247],"domain_scores_gemma":[0.999496,0.000041519732,0.00017360754,0.00020369657,0.000022128697,0.00006306567],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006768655,0.00011611046,0.00033931175,0.00013640978,0.000020767196,0.000095264215,0.00028027437,0.000044972563,0.001044033],"category_scores_gemma":[0.00005747051,0.0001242143,0.000055230907,0.00004661848,0.000039215243,0.000568265,0.000080116624,0.00010010744,0.00010118537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055138207,0.00012917414,0.16595554,0.00027553705,0.00002921803,0.0000029862665,0.00032299038,0.00030534263,0.0000031483007,0.81913817,0.00019401753,0.013638336],"study_design_scores_gemma":[0.00033861518,0.000030133839,0.05162257,0.000264325,0.0000041698845,0.0000046740456,0.00001479872,0.8562899,0.0000011973303,0.08875254,0.0024025992,0.00027442325],"about_ca_topic_score_codex":0.00013869801,"about_ca_topic_score_gemma":0.00009272427,"teacher_disagreement_score":0.8559846,"about_ca_system_score_codex":0.00016518937,"about_ca_system_score_gemma":0.0000074234263,"threshold_uncertainty_score":0.99986917},"labels":[],"label_agreement":null},{"id":"W2130967714","doi":"10.7202/1033407ar","title":"Candidatures spontanées, réseaux et intermédiaires publics : quelle information et quels appariements sur le marché du travail français ?","year":2015,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.03448166282280841,"score_gpt":0.23342560852689956,"score_spread":0.19894394570409116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130967714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62910074,0.031198964,0.038915835,0.13035595,0.0068635945,0.0016169244,0.009122041,0.00023091909,0.15259503],"genre_scores_gemma":[0.97849363,0.003816041,0.00088135415,0.0013728028,0.00018243975,0.00005293311,0.0014546606,0.0000474177,0.013698732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970681,0.0002958566,0.001454875,0.0004362481,0.00019848887,0.0005464489],"domain_scores_gemma":[0.9975898,0.0003256449,0.00079488853,0.00061786297,0.00036134128,0.00031042486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003037946,0.00038075054,0.00054580084,0.00051641406,0.00032366265,0.0007062488,0.0004579571,0.00083463243,0.0004826085],"category_scores_gemma":[0.0018668581,0.0004365355,0.00017874959,0.00084874686,0.00021837943,0.0030387198,0.00025891277,0.0011153651,0.00038125122],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006414742,0.0003876801,0.22369365,0.000030159716,0.0002183846,0.000009799308,0.005987327,0.00300181,3.2617766e-7,0.62347746,0.122149535,0.020979706],"study_design_scores_gemma":[0.0016891685,0.000088522684,0.099593535,0.00011450641,0.00003030729,0.0000121030935,0.001349255,0.014059562,0.000006487459,0.022071823,0.86045265,0.0005320828],"about_ca_topic_score_codex":0.035638597,"about_ca_topic_score_gemma":0.005733222,"teacher_disagreement_score":0.7383031,"about_ca_system_score_codex":0.00050775125,"about_ca_system_score_gemma":0.001222617,"threshold_uncertainty_score":0.99980867},"labels":[],"label_agreement":null},{"id":"W2131707887","doi":"10.1111/j.1468-0351.2007.00306.x","title":"Employment fluctuations and dynamics of the aggregate average wage in Poland, 1996–2003<sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Generosity; Economics; Wage; Welfare; Labour economics; Quarter (Canadian coin); Demographic economics; Population; Aggregate (composite); Demography; Market economy; Geography","score_opus":0.01147576829190675,"score_gpt":0.2052390642718595,"score_spread":0.19376329597995276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131707887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988228,0.0002083127,0.0074639837,0.0007731595,0.00014573828,0.00027524866,0.00095966377,0.0000071529103,0.001938697],"genre_scores_gemma":[0.99874604,0.00043646377,0.00050733285,0.00011698778,0.000025949048,0.000005103265,0.00008596558,0.000017670165,0.00005848266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99851614,0.000023286073,0.00095734774,0.00026499998,0.00002688782,0.000211365],"domain_scores_gemma":[0.9991326,0.00006531176,0.00040370694,0.00030754565,0.00004264735,0.00004823875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012218965,0.00013590547,0.00036125543,0.00023429931,0.000056920846,0.000020454678,0.00016283752,0.000112031645,0.00004354875],"category_scores_gemma":[0.000044411652,0.00014398637,0.00009840155,0.00027362848,0.00009940941,0.00019251427,0.000033447617,0.00013360381,0.000003727532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001369255,0.00034473022,0.18998379,0.00013165093,0.00012286799,0.000003009781,0.004638188,0.019262597,0.0000936566,0.77807784,0.000010526783,0.007194237],"study_design_scores_gemma":[0.0021465307,0.00009035511,0.62334955,0.00007986362,0.000018248871,0.0000054808497,0.00043805232,0.20138323,0.00036475647,0.17112415,0.00057620753,0.00042356513],"about_ca_topic_score_codex":0.00101276,"about_ca_topic_score_gemma":0.0019104214,"teacher_disagreement_score":0.6069537,"about_ca_system_score_codex":0.00016650443,"about_ca_system_score_gemma":0.000026290236,"threshold_uncertainty_score":0.5871594},"labels":[],"label_agreement":null},{"id":"W2131969573","doi":"10.1186/2193-9012-1-6","title":"Why is there a gender earnings gap in self-employment? A decomposition analysis with German data","year":2012,"lang":"en","type":"article","venue":"IZA Journal of European Labor Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; German; Gender gap; Flexibility (engineering); Economics; Self-employment; Quarter (Canadian coin); Gender pay gap; Demographic economics; Labour economics; Wage; Geography; Entrepreneurship","score_opus":0.08527266806460303,"score_gpt":0.3195915912362626,"score_spread":0.23431892317165953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131969573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777117,0.016052598,0.0009730104,0.00090489595,0.00016783016,0.00007376237,0.00021317464,0.000013976835,0.0038890608],"genre_scores_gemma":[0.9934517,0.003512255,0.0016443182,0.0010847424,0.00019445074,0.0000010890899,0.000012820978,0.000031672393,0.00006692567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983063,0.00017548166,0.0008610682,0.00025340365,0.0000968288,0.0003069217],"domain_scores_gemma":[0.99820954,0.00008672193,0.0009787049,0.00044938573,0.00017804117,0.00009761433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025855824,0.0001829772,0.0006055216,0.0004205733,0.00009345049,0.00007523754,0.00043153015,0.000026765758,0.00008628968],"category_scores_gemma":[0.000098282704,0.0001492159,0.00010455891,0.0007957712,0.000044753036,0.00065621943,0.00023025165,0.0002289108,0.000026236217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005720355,0.00027323666,0.9827441,0.000034924033,0.0029895075,0.000060747032,0.005889175,0.00006628125,0.0000056676176,0.00652499,0.001241497,0.00011270216],"study_design_scores_gemma":[0.0008705191,0.000118682336,0.941024,0.000050723385,0.00033953664,0.000017612389,0.0005082952,0.00030121242,0.000004190148,0.0010870442,0.055389233,0.0002889687],"about_ca_topic_score_codex":0.000049705417,"about_ca_topic_score_gemma":0.00007078621,"teacher_disagreement_score":0.054147735,"about_ca_system_score_codex":0.000097718446,"about_ca_system_score_gemma":0.000012547499,"threshold_uncertainty_score":0.6084848},"labels":[],"label_agreement":null},{"id":"W2132034899","doi":"10.1016/s0272-7757(99)00058-8","title":"Educational attainment and the gender wage gap: evidence from the 1986 and 1991 Canadian censuses","year":2001,"lang":"en","type":"article","venue":"Economics of Education Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University; Aboriginal Affairs Northern Dev Canada","funders":"","keywords":"Educational attainment; Earnings; Gender gap; Census; Demographic economics; Wage; Gender pay gap; Labour economics; Economics; Sociology; Demography; Population; Economic growth","score_opus":0.06460465385537649,"score_gpt":0.2761063558494477,"score_spread":0.2115017019940712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132034899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5573822,0.35707065,0.000017846576,0.07844854,0.00053596304,0.000566184,0.00023724276,0.0000031094166,0.005738262],"genre_scores_gemma":[0.6387999,0.35533264,0.00020084794,0.0051920633,0.00012627634,0.00005831327,0.000046434976,0.00000879164,0.00023474572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99886405,0.00006348225,0.0006166965,0.00028585328,0.000019604087,0.00015033352],"domain_scores_gemma":[0.9983747,0.00061030895,0.0004157761,0.00044247962,0.00004877165,0.00010796087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014543097,0.00012157624,0.0003295576,0.000046002304,0.00014833742,0.000074606054,0.00024401418,0.000038703303,0.0005058123],"category_scores_gemma":[0.0004910606,0.00009163745,0.00006676852,0.00009557788,0.00015957617,0.00016151309,0.00005075846,0.00009131613,0.000030134248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000870013,0.00003995737,0.1876906,0.00015497094,0.00006476937,8.11241e-8,0.0005060668,0.000005074102,2.4961966e-7,0.79826343,0.0036602484,0.009605845],"study_design_scores_gemma":[0.00028918375,0.000008890364,0.39791042,0.0004453062,0.000047359903,0.000007634821,0.00019964042,0.00023591034,4.2490947e-7,0.23612674,0.36448777,0.0002407245],"about_ca_topic_score_codex":0.058458023,"about_ca_topic_score_gemma":0.012472538,"teacher_disagreement_score":0.5621367,"about_ca_system_score_codex":0.00013293762,"about_ca_system_score_gemma":0.0002456386,"threshold_uncertainty_score":0.9478118},"labels":[],"label_agreement":null},{"id":"W2133613007","doi":"10.2139/ssrn.1818715","title":"Labor Market Regulations and Income Inequality: Evidence for a Panel of Countries","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economic inequality; Inequality; Economics; Panel data; Labour economics; Demographic economics; Econometrics","score_opus":0.0397328972610247,"score_gpt":0.2690951350865198,"score_spread":0.22936223782549509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133613007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9455377,0.009502292,0.041050505,0.0030767603,0.00014656645,0.00021284091,0.0002434765,0.000012867542,0.000217002],"genre_scores_gemma":[0.9894038,0.009244073,0.0006950758,0.0000992006,0.00010059527,0.000012691009,0.0000039902548,0.000017601269,0.00042296216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981345,0.000030304098,0.0007189353,0.00022357676,0.00005846452,0.00083422894],"domain_scores_gemma":[0.99881554,0.00023207505,0.00053886,0.0002109393,0.00014011658,0.00006244624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045055,0.00012624901,0.0003517879,0.00015299594,0.00016014915,0.000065237284,0.00018682278,0.00008169815,0.000033913468],"category_scores_gemma":[0.0006178669,0.000130055,0.00009595293,0.00017713357,0.00008162258,0.0003422059,0.000039986113,0.00037743125,0.0000034212221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099155266,0.00003090253,0.080840506,0.000051502862,0.000081267666,3.9830547e-7,0.00015308322,0.0000392156,0.00000942805,0.9183037,0.000004937876,0.0003858548],"study_design_scores_gemma":[0.00091930944,0.00018689803,0.07640852,0.000055053122,0.000014537389,0.000028456978,0.00015524744,0.00024531363,0.000009752233,0.9211012,0.0007244218,0.00015126319],"about_ca_topic_score_codex":0.00031550528,"about_ca_topic_score_gemma":0.0006126897,"teacher_disagreement_score":0.04386612,"about_ca_system_score_codex":0.00050723774,"about_ca_system_score_gemma":0.00058908056,"threshold_uncertainty_score":0.53034896},"labels":[],"label_agreement":null},{"id":"W2134072516","doi":"10.1093/jleo/ewu005","title":"Transaction Costs and the Employment Contract in the US Economy","year":2014,"lang":"en","type":"article","venue":"The Journal of Law Economics and Organization","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Salary; Transaction cost; Wage; Labour economics; Economics; Commission; Database transaction; Panel Study of Income Dynamics; Microeconomics; Market economy; Finance","score_opus":0.009021577928207822,"score_gpt":0.19134297857827914,"score_spread":0.18232140065007132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134072516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98529315,0.00046600722,0.0031154815,0.0075866836,0.00016325088,0.00016146668,0.0000100454,0.0000021522303,0.003201745],"genre_scores_gemma":[0.99465615,0.0032271168,0.000023725423,0.0019622215,0.00010334107,0.0000012470387,0.0000022648012,0.000011456154,0.000012487694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990827,0.00012008456,0.0005892468,0.00009124409,0.000015818012,0.000100947196],"domain_scores_gemma":[0.9989208,0.00032489258,0.0005302128,0.00015081973,0.000045323373,0.000027972626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038149,0.00008803122,0.00024825375,0.00004247975,0.00016432702,0.00016641247,0.00018265191,0.000045948756,0.00001986317],"category_scores_gemma":[0.00006432419,0.00005109057,0.000032020438,0.000072890885,0.00011441852,0.00023197319,0.000016857426,0.0001484025,0.0000026830273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005475291,0.000021737013,0.014345583,0.000004372464,0.000028208138,2.049587e-7,0.0010774524,0.00044882248,0.0000022636348,0.9831461,0.0000074489635,0.00086309697],"study_design_scores_gemma":[0.007619142,0.00025133975,0.22916259,0.000029231138,0.00010341448,0.0002096288,0.0004712889,0.04125965,0.000084915024,0.65543664,0.06496225,0.0004098811],"about_ca_topic_score_codex":0.0004839768,"about_ca_topic_score_gemma":0.0004439345,"teacher_disagreement_score":0.3277094,"about_ca_system_score_codex":0.00006239977,"about_ca_system_score_gemma":0.000011429356,"threshold_uncertainty_score":0.2083413},"labels":[],"label_agreement":null},{"id":"W2134073797","doi":"10.1177/0020715208093079","title":"Do Fields of Study Matter for Over-education?","year":2008,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Odds; Sample (material); German; Demographic economics; Field (mathematics); Position (finance); Selection (genetic algorithm); Higher education; Econometrics; Economics; Sociology; Geography; Economic growth; Statistics; Mathematics; Computer science; Logistic regression","score_opus":0.07215993588707141,"score_gpt":0.36156234799385184,"score_spread":0.2894024121067804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134073797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98581207,0.0003809176,0.007831238,0.0007360039,0.0013975716,0.000118864766,0.000079606136,0.0000014900526,0.0036422417],"genre_scores_gemma":[0.99847364,0.00003644667,0.000682815,0.00033301173,0.00024752793,0.000008117686,0.000005705701,0.0000045165125,0.0002082107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998991,0.000044887052,0.00073287095,0.000105000305,0.000049785896,0.00007645424],"domain_scores_gemma":[0.9983055,0.00022309502,0.0008696819,0.0000862725,0.00048855727,0.000026906395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046915005,0.00007002132,0.00036756299,0.00015176176,0.00003345558,0.000008755725,0.00029835402,0.000053941527,0.0004029766],"category_scores_gemma":[0.00006674176,0.00006748804,0.0001445517,0.000035561494,0.00010574031,0.000107353706,0.000029604878,0.00011680201,0.000013741293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012893771,0.0005757155,0.780634,0.000003361755,0.00034937606,0.000002520913,0.0062978263,0.00007112459,0.000012797201,0.20926662,0.0026054822,0.000052265594],"study_design_scores_gemma":[0.0012058214,0.00034567367,0.6583216,0.000007840243,0.000007646997,0.000026014879,0.00091656,0.00012464152,0.000018711109,0.33392364,0.005003331,0.00009848606],"about_ca_topic_score_codex":0.00003276294,"about_ca_topic_score_gemma":0.000004925752,"teacher_disagreement_score":0.12465702,"about_ca_system_score_codex":0.00006244218,"about_ca_system_score_gemma":0.00007559406,"threshold_uncertainty_score":0.44123113},"labels":[],"label_agreement":null},{"id":"W2134105016","doi":"10.1007/s12122-013-9163-3","title":"Sectoral Mobility and Unemployment with Heterogeneous Moving Costs","year":2013,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Economics; Labour economics; Labor mobility; Order (exchange); Unemployment rate; Macroeconomics","score_opus":0.05806306969323454,"score_gpt":0.30859871890559776,"score_spread":0.2505356492123632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134105016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958433,0.0013659574,0.00018340394,0.0014057357,0.000096238204,0.00021681172,0.000045241955,0.0000052318974,0.0008380751],"genre_scores_gemma":[0.99868345,0.0002880868,0.00060686574,0.000092179,0.00009865979,0.0000103331895,9.100697e-7,0.00001776338,0.00020177211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856204,0.000106294676,0.0005906994,0.00021174143,0.00017704711,0.000352156],"domain_scores_gemma":[0.9985142,0.00019097465,0.00028513916,0.00024571453,0.0005553302,0.0002086573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030868065,0.00010184844,0.00033157048,0.0002501507,0.00010724229,0.00022348543,0.00022885384,0.00006104605,0.00033189086],"category_scores_gemma":[0.000264397,0.00008146991,0.000050306324,0.0003396711,0.00012374227,0.00029360343,0.00010192175,0.0004239896,0.000028083634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018026213,0.0003462364,0.9541597,0.000086467095,0.00015901696,0.00009338068,0.00034020867,0.00012222849,0.0003272472,0.03981253,0.00029967848,0.004073045],"study_design_scores_gemma":[0.002437245,0.0019934662,0.85721546,0.00013697577,0.0000096291205,0.00018018819,0.00034927696,0.0041895225,0.0003725728,0.1238075,0.00882877,0.00047940615],"about_ca_topic_score_codex":0.0009493896,"about_ca_topic_score_gemma":0.000106893676,"teacher_disagreement_score":0.09694425,"about_ca_system_score_codex":0.00025222564,"about_ca_system_score_gemma":0.00006432778,"threshold_uncertainty_score":0.3633972},"labels":[],"label_agreement":null},{"id":"W2134727139","doi":"10.1111/j.1468-0297.2011.02428.x","title":"The Ins and Outs of UK Unemployment","year":2011,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Quarter (Canadian coin); Recession; Unemployment rate; Great Moderation; Labour economics; Great recession; Moderation; Falling (accident); Demographic economics; Panel data; Business cycle; Econometrics; Macroeconomics; Geography; Mathematics","score_opus":0.043867154958855924,"score_gpt":0.2192643800540388,"score_spread":0.17539722509518288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134727139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668518,0.0012839295,0.00021732689,0.0009455726,0.0007065484,0.0000772019,0.000046928082,0.000004123749,0.029866599],"genre_scores_gemma":[0.99772906,0.0012600765,0.00009717601,0.000111724454,0.00011699979,0.0000028251668,4.0127054e-7,0.000010396769,0.0006713359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901605,0.000030430985,0.0006253002,0.0001191067,0.000016237482,0.00019288747],"domain_scores_gemma":[0.9990156,0.00009613424,0.00053685723,0.00027496918,0.000015782132,0.000060606406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021014248,0.00008805415,0.0002063131,0.00004346644,0.00023956635,0.0000736945,0.0003402044,0.000035720386,0.00041552304],"category_scores_gemma":[0.00004088078,0.000056410576,0.00008156927,0.000029614,0.00013922145,0.00008295434,0.00008906924,0.00017625999,0.000072469935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038224844,0.000017093815,0.09097548,0.0000034061077,0.00011139484,0.0000012775469,0.0011465393,0.000022515876,0.0000028133516,0.9048103,0.00042206963,0.0024488901],"study_design_scores_gemma":[0.00048451062,0.00008005199,0.13436522,0.000007895663,0.000010309086,0.000036174788,0.0002714388,0.0013802164,0.000032379277,0.8473058,0.015875276,0.0001507603],"about_ca_topic_score_codex":0.00027007356,"about_ca_topic_score_gemma":0.00010277045,"teacher_disagreement_score":0.057504524,"about_ca_system_score_codex":0.00009289659,"about_ca_system_score_gemma":0.000032802134,"threshold_uncertainty_score":0.4549686},"labels":[],"label_agreement":null},{"id":"W2134862376","doi":"","title":"The public sector pay premium, compensating differentials and unions: propensity score matching evidence from Australia, Canada, Great Britain and the United States","year":2009,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public sector; Propensity score matching; Economic rent; Matching (statistics); Labour economics; Private sector; Economics; Demographic economics; Business; Economic growth; Economy; Microeconomics","score_opus":0.057422066288220296,"score_gpt":0.2173907501321416,"score_spread":0.1599686838439213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134862376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958572,0.0009450556,0.00021069813,0.039059162,0.00024090629,0.00043466338,0.0004116411,0.00001958539,0.00010629717],"genre_scores_gemma":[0.99538,0.002580079,0.00015088097,0.001265622,0.00009955756,0.00001533146,0.000077997414,0.000018889426,0.00041165273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99808335,0.00019667431,0.00077849906,0.0005060214,0.000040623585,0.00039481744],"domain_scores_gemma":[0.99741465,0.0013968169,0.00053081673,0.00046637235,0.0000567837,0.0001345758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021172166,0.00024382136,0.00050263596,0.00005885294,0.0005730434,0.00085953093,0.00037670587,0.00007991133,0.00013646643],"category_scores_gemma":[0.00046481795,0.00016599779,0.00005614753,0.00009935974,0.0002186943,0.00013216514,0.0001857396,0.00031492283,0.000009603872],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032462878,0.000062703184,0.45349014,0.00006130651,0.00031776074,0.000013320289,0.0015156331,0.000526556,0.000014666029,0.5372179,0.0020061873,0.004449187],"study_design_scores_gemma":[0.0014438917,0.00004681937,0.6696223,0.0001055828,0.000025749072,0.0000108000095,0.00026412678,0.010589717,0.000015624068,0.27535018,0.041934274,0.00059091713],"about_ca_topic_score_codex":0.51347846,"about_ca_topic_score_gemma":0.30148754,"teacher_disagreement_score":0.26186773,"about_ca_system_score_codex":0.00018840647,"about_ca_system_score_gemma":0.00006109891,"threshold_uncertainty_score":0.82884765},"labels":[],"label_agreement":null},{"id":"W2134871729","doi":"10.7202/1000447ar","title":"Les institutions du marché du travail et les inégalités inter-catégorielles : une comparaison France-Canada","year":2011,"lang":"fr","type":"article","venue":"Revue multidisciplinaire sur l emploi le syndicalisme et le travail","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec en Outaouais","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06854273003714076,"score_gpt":0.26131912498899484,"score_spread":0.19277639495185409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134871729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86971116,0.016739009,0.023005515,0.066697255,0.0040695374,0.0009731943,0.004268926,0.00021733192,0.014318049],"genre_scores_gemma":[0.9825874,0.006030969,0.0016308851,0.0005870784,0.00047074424,0.00015622712,0.0004349565,0.00021099177,0.007890776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9927116,0.0008846861,0.0028622972,0.0018204871,0.0003018389,0.0014191126],"domain_scores_gemma":[0.9956953,0.0006412518,0.0012539634,0.0014168742,0.000322568,0.0006700558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031446419,0.0011018956,0.0020248804,0.00040754318,0.0012384931,0.00029377552,0.001423744,0.0009049132,0.00073118607],"category_scores_gemma":[0.000670471,0.0013741063,0.0007545604,0.0011226371,0.0015977579,0.0008722552,0.0006156238,0.001840533,0.00013806138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015239323,0.002917492,0.39767864,0.0012476171,0.00054084155,0.00034066287,0.013567395,0.0004893319,0.000012517531,0.5460431,0.003048466,0.033961505],"study_design_scores_gemma":[0.0025861585,0.00018717142,0.7799215,0.0008723705,0.00008557743,0.00008871655,0.0021066242,0.0063206065,0.0000249827,0.0033884717,0.20276439,0.0016534283],"about_ca_topic_score_codex":0.84596413,"about_ca_topic_score_gemma":0.79793805,"teacher_disagreement_score":0.54265463,"about_ca_system_score_codex":0.0005919959,"about_ca_system_score_gemma":0.001622734,"threshold_uncertainty_score":0.99887085},"labels":[],"label_agreement":null},{"id":"W2135738318","doi":"10.1111/j.1468-232x.2006.00438.x","title":"Language in the Public Service","year":2006,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Legislation; Earnings; Business; Public sector; Service (business); Public service; Work (physics); Census; Accounting; Economics; Public administration; Political science; Marketing; Sociology; Economy; Law","score_opus":0.04279076157109779,"score_gpt":0.2319243348291907,"score_spread":0.1891335732580929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135738318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96393913,0.00089160557,0.0006434722,0.011065818,0.00018494732,0.000094958785,0.00003670753,0.00000313231,0.023140242],"genre_scores_gemma":[0.9986705,0.000053587846,0.00023613412,0.00056342443,0.00035228973,0.0000027622023,0.000005868034,0.0000048359057,0.00011059633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99903053,0.00004127919,0.0006785831,0.00009596836,0.000023952754,0.00012969377],"domain_scores_gemma":[0.9991299,0.0002091222,0.00047168997,0.000111015645,0.000046595113,0.000031677828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021111707,0.0000697415,0.00020167428,0.00007148496,0.00010395381,0.00013692604,0.00015753169,0.00013715534,0.00009426777],"category_scores_gemma":[0.00010175878,0.000058950565,0.00011947534,0.00028801404,0.000033609813,0.00036951396,0.000019764717,0.00037917384,0.000008146739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062213994,0.000083535924,0.1362493,0.0000040213404,0.000038612336,0.000004703541,0.0016257041,0.000103546554,0.0000012990105,0.85933167,0.002009281,0.00054211426],"study_design_scores_gemma":[0.0044549312,0.000100451245,0.11968008,0.000035275727,0.000026733223,0.00007892777,0.005275644,0.004779957,0.0000027769167,0.570185,0.29499638,0.00038382353],"about_ca_topic_score_codex":0.00025485255,"about_ca_topic_score_gemma":0.000106363164,"teacher_disagreement_score":0.2929871,"about_ca_system_score_codex":0.000069961876,"about_ca_system_score_gemma":0.000055653276,"threshold_uncertainty_score":0.24039343},"labels":[],"label_agreement":null},{"id":"W2135989699","doi":"10.3138/cpp.v33.1.021","title":"Les rendements de la formation en entreprise","year":2007,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Investment (military); Human capital; Training (meteorology); Selection (genetic algorithm); Selection bias; Economics; Labour economics; Microeconomics; Computer science; Statistics; Economic growth; Mathematics; Geography; Political science","score_opus":0.028698856459568465,"score_gpt":0.26623846076162555,"score_spread":0.2375396043020571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135989699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60323304,0.00017106069,0.0059162355,0.006766306,0.00012032282,0.00011121057,0.00040306232,0.00003612359,0.38324264],"genre_scores_gemma":[0.9968787,0.00007734759,0.00023774026,0.0013514734,0.00019956104,0.0000057667153,0.000044801436,0.000014038745,0.0011905723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998881,0.000035042245,0.00035124546,0.00017171743,0.000026834558,0.0005341949],"domain_scores_gemma":[0.99902993,0.00007865065,0.00012926792,0.00024940856,0.000026460419,0.000486295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022137025,0.00009012502,0.0001289307,0.00066481845,0.00013049602,0.00014740347,0.00021903645,0.00013650056,0.0004673163],"category_scores_gemma":[0.00081463036,0.00011338072,0.000051908362,0.0003516853,0.00003664029,0.00029537466,0.000026411713,0.00012627424,0.00010595186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001207297,0.000011453327,0.09463502,0.0000073742754,0.0000124156795,0.0000067344154,0.00030841993,0.0000012145979,0.0000021863177,0.88551915,0.001140111,0.018354734],"study_design_scores_gemma":[0.00023284392,0.000006432357,0.3160227,0.0000031163777,0.0000012838264,0.0000069401262,0.00004665137,0.00041290995,0.0000080879345,0.13163051,0.5514749,0.00015361623],"about_ca_topic_score_codex":0.3228051,"about_ca_topic_score_gemma":0.12610754,"teacher_disagreement_score":0.7538886,"about_ca_system_score_codex":0.001687961,"about_ca_system_score_gemma":0.00041466113,"threshold_uncertainty_score":0.8898387},"labels":[],"label_agreement":null},{"id":"W2136048190","doi":"","title":"Winners and Losers in the Labour Market of the 1990s","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Labour economics; Economics; Inequality; Demographic economics","score_opus":0.03654966546087517,"score_gpt":0.2723160237574914,"score_spread":0.23576635829661624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136048190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460292,0.0006936321,0.000001158383,0.0020096325,0.0003761048,0.0007109095,0.0006058285,0.000006829674,0.1495667],"genre_scores_gemma":[0.98038363,0.016245842,0.000095647236,0.00026117376,0.00008620447,0.00010321657,0.000011228406,0.000042795324,0.002770255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666816,0.0004193314,0.0012577726,0.0008679857,0.000120394056,0.0006663282],"domain_scores_gemma":[0.9970303,0.0007519794,0.0005509266,0.0015339087,0.000052241165,0.0000806392],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007464428,0.0003012607,0.000750696,0.00047703792,0.000120283505,0.00016457174,0.0014652386,0.00042062908,0.0002417242],"category_scores_gemma":[0.0008946607,0.0002478565,0.00021128298,0.00038356287,0.0005070746,0.00009767459,0.0011794902,0.0018210103,0.0000049176206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013328543,0.00046221667,0.7213725,0.0008236088,0.00018289316,0.000031276464,0.0027936075,0.002684306,0.0000053829704,0.24188887,0.00027581622,0.029346244],"study_design_scores_gemma":[0.001260182,0.00006973179,0.65176034,0.00026491113,0.000006880129,0.000008817529,0.0012934882,0.020320926,0.000006281507,0.26931804,0.0549655,0.0007248911],"about_ca_topic_score_codex":0.0011640727,"about_ca_topic_score_gemma":0.0012296924,"teacher_disagreement_score":0.14679644,"about_ca_system_score_codex":0.00048352123,"about_ca_system_score_gemma":0.00011644014,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W2136915899","doi":"10.4000/travailemploi.3607","title":"Le cas français : approfondir les connaissances empiriques pour mieux cibler la formation","year":2009,"lang":"fr","type":"article","venue":"Travail et emploi","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04626233107659049,"score_gpt":0.28143414104868136,"score_spread":0.23517180997209086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136915899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.797548,0.025694614,0.014936898,0.023167903,0.00074871053,0.00039840394,0.00081438356,0.00013741892,0.1365537],"genre_scores_gemma":[0.97893834,0.0046853963,0.0014486505,0.0017442374,0.00023195278,0.000023732884,0.000110594156,0.00005063293,0.012766461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972461,0.00022493604,0.001162023,0.00062938,0.00010757181,0.00062997465],"domain_scores_gemma":[0.99837613,0.00021678068,0.00058227277,0.0005324544,0.00013574824,0.00015660902],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019391848,0.00040863483,0.00073489593,0.00025606417,0.00028195512,0.00036546754,0.00040441556,0.00047491054,0.00064148044],"category_scores_gemma":[0.00017212934,0.00051216467,0.00027370182,0.00038195276,0.00026338123,0.0011767774,0.000052811967,0.0005065025,0.00036207182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007785062,0.0007135412,0.041681018,0.00033371107,0.00011044,0.00003518137,0.010523987,0.00013222765,0.00005433867,0.8576719,0.0113771465,0.07728863],"study_design_scores_gemma":[0.0014674128,0.00023310086,0.52471787,0.00016333614,0.00003296894,0.00003329148,0.0007206008,0.0031386684,0.0002240752,0.13716684,0.33118367,0.00091815245],"about_ca_topic_score_codex":0.0043119057,"about_ca_topic_score_gemma":0.0036066512,"teacher_disagreement_score":0.72050506,"about_ca_system_score_codex":0.00013204587,"about_ca_system_score_gemma":0.00013703106,"threshold_uncertainty_score":0.999733},"labels":[],"label_agreement":null},{"id":"W2137170164","doi":"","title":"Body size and wages in Europe: A semi-parametric analysis","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Econometrics; Parametric statistics; Equating; Semiparametric model; Index (typography); Wage; Attractiveness; Parametric model; Economics; Estimation; Panel data; Mathematics; Statistics; Nonparametric statistics; Labour economics; Psychology; Computer science","score_opus":0.02794511090192718,"score_gpt":0.29182973447643595,"score_spread":0.26388462357450876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137170164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9304634,0.000787543,0.000014204015,0.00049327896,0.00040640603,0.00061941135,0.00063447823,0.0000314543,0.06654982],"genre_scores_gemma":[0.9687357,0.02821959,0.00066422834,0.000101039266,0.0001316639,0.00015429844,0.00009637933,0.000084076026,0.0018130004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947387,0.00027058736,0.001835258,0.0019569618,0.000121019744,0.0010774686],"domain_scores_gemma":[0.9956747,0.0015362363,0.0006365042,0.0017125913,0.00014980335,0.00029013198],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0073803114,0.0004899615,0.001690176,0.0033271534,0.0001245031,0.00048226197,0.0010095794,0.0009089998,0.00027477535],"category_scores_gemma":[0.0047762394,0.000602307,0.0002906459,0.0024082083,0.00033997442,0.0001772001,0.0017894225,0.0036107306,0.00002543621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120228244,0.0004940316,0.9249001,0.0003281005,0.0007538904,0.0001297415,0.00042682805,0.0065187793,0.000028946457,0.046161454,0.000013215425,0.02012467],"study_design_scores_gemma":[0.0011411274,0.000079122736,0.81275576,0.00007880657,0.000045392753,0.000005034967,0.000121407684,0.0856176,0.000009925245,0.08457034,0.014378299,0.0011971946],"about_ca_topic_score_codex":0.0017378352,"about_ca_topic_score_gemma":0.003055277,"teacher_disagreement_score":0.112144366,"about_ca_system_score_codex":0.0006653355,"about_ca_system_score_gemma":0.00023886173,"threshold_uncertainty_score":0.99964285},"labels":[],"label_agreement":null},{"id":"W2138234753","doi":"10.1111/ijtd.12002","title":"Return on investment for workplace training: the <scp>C</scp>anadian experience","year":2013,"lang":"en","type":"article","venue":"International Journal of Training and Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Productivity; Workforce; Investment (military); Return on investment; Labour economics; Training (meteorology); Business; Human capital; Context (archaeology); Rate of return; Variety (cybernetics); Competitive advantage; Economics; Finance; Marketing; Economic growth; Production (economics); Microeconomics","score_opus":0.07191901568794463,"score_gpt":0.2630695658747398,"score_spread":0.19115055018679517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138234753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98336166,0.0003370605,0.004501219,0.003179282,0.0012110407,0.00016472394,0.000023277538,0.0000072551525,0.007214479],"genre_scores_gemma":[0.9894572,0.000062233834,0.006972599,0.0025395248,0.00019651756,0.000034450903,0.000005073413,0.000011181346,0.000721202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988755,0.000015085072,0.00063969276,0.00016075364,0.00011149451,0.00019745725],"domain_scores_gemma":[0.998796,0.0003751773,0.00047220063,0.000083765335,0.00014999135,0.00012290635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009892,0.0001133351,0.00020954893,0.00015108472,0.000111086556,0.00019387982,0.00033174272,0.000046948455,0.00003671729],"category_scores_gemma":[0.00056767045,0.000087968896,0.00006400881,0.000054317294,0.00005160978,0.00015496176,0.00003072753,0.0001427241,0.000010515991],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057935224,0.00026160854,0.043989513,0.00002873855,0.0011007449,0.000041617517,0.32064232,0.00037253724,0.00005239251,0.48283336,0.008592994,0.14202625],"study_design_scores_gemma":[0.0020208494,0.00025859935,0.08146351,0.00019655393,0.0000069933894,0.000094487266,0.02184464,0.0022727035,0.000108457214,0.14257991,0.74893767,0.00021564847],"about_ca_topic_score_codex":0.000027984319,"about_ca_topic_score_gemma":0.000012374335,"teacher_disagreement_score":0.74034464,"about_ca_system_score_codex":0.00012599243,"about_ca_system_score_gemma":0.00010737122,"threshold_uncertainty_score":0.35872674},"labels":[],"label_agreement":null},{"id":"W2138352686","doi":"10.5772/21169","title":"The Impact of Government-Sponsored Training Programs on the Labor Market Transitions of Disadvantaged Men","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Disadvantaged; Government (linguistics); Training (meteorology); Labour economics; Business; Demographic economics; Political science; Economic growth; Economics; Geography","score_opus":0.04572691147396407,"score_gpt":0.24339081658088632,"score_spread":0.19766390510692225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138352686","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016003612,0.00020718145,0.00048634273,0.0001783888,0.00014551968,0.00081121194,0.0062907743,0.000026005431,0.97585094],"genre_scores_gemma":[0.89602375,0.00016756321,0.00004548584,0.000030792708,0.000039742696,0.000058541893,0.000019026345,0.00006363636,0.10355144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981194,0.000048903355,0.0010516073,0.00034992726,0.00013392932,0.0002962114],"domain_scores_gemma":[0.9974857,0.00044366892,0.001098781,0.00083758356,0.00007098963,0.00006327393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016545047,0.00034648678,0.0006807294,0.00007418846,0.00014413815,0.00004454841,0.0006046061,0.00023878066,0.0005013195],"category_scores_gemma":[0.00013950212,0.00022276885,0.0006083067,0.00003474333,0.0004246108,0.000033817567,0.0000706122,0.00048946566,0.00001143307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037630153,0.000063102816,0.00018776723,0.00003401162,0.000626455,0.0000036235328,0.00162835,4.925598e-7,0.00012682755,0.98438424,0.000111557325,0.012457296],"study_design_scores_gemma":[0.00067805283,0.0008096489,0.0020820438,0.00042584623,0.00007496948,0.0000047452613,0.0005090418,0.00017740784,0.00046897438,0.95619625,0.037948202,0.0006248004],"about_ca_topic_score_codex":0.00019395964,"about_ca_topic_score_gemma":0.000087023465,"teacher_disagreement_score":0.88002014,"about_ca_system_score_codex":0.00018467224,"about_ca_system_score_gemma":0.00005692919,"threshold_uncertainty_score":0.90842503},"labels":[],"label_agreement":null},{"id":"W2138830226","doi":"","title":"Job and Workers Flows in Europe and the US: Specific Skills or Employment Protection?","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Unemployment; Employment protection legislation; Labour economics; Complementarity (molecular biology); Incentive; Economics; Investment (military); Human capital; Matching (statistics); Job creation; Market economy; Economic growth; Political science","score_opus":0.024596819015336644,"score_gpt":0.2234565937186744,"score_spread":0.19885977470333777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138830226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96838266,0.0020876697,0.0026835443,0.0019825948,0.00059814466,0.0013817204,0.00018582292,0.000038802224,0.022659034],"genre_scores_gemma":[0.98305094,0.0050830683,0.0013792099,0.00030791183,0.0002019671,0.00023475791,0.00002564011,0.000054662985,0.009661834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796224,0.00009067359,0.00088691077,0.00074440526,0.000048076196,0.00026770853],"domain_scores_gemma":[0.9989251,0.000105387604,0.00033702378,0.0005311971,0.000043708464,0.00005759633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017403454,0.0002872993,0.0006275048,0.00020022817,0.000093728326,0.00035194503,0.00022459935,0.00020326341,0.0001622051],"category_scores_gemma":[0.00011480991,0.00020445649,0.00006844454,0.00029818996,0.00013609279,0.00007301116,0.00055094506,0.00052522495,0.000020938523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005042157,0.0003076592,0.70183486,0.00027003308,0.00018177742,0.00003734091,0.0006283186,0.0016436296,0.0000011175946,0.28356403,0.0010973043,0.00992968],"study_design_scores_gemma":[0.0028384523,0.000048362464,0.7619249,0.00013304941,0.000012013751,0.000008012998,0.000034882443,0.011430627,0.0000013928478,0.16441576,0.058409322,0.00074317475],"about_ca_topic_score_codex":0.0069368016,"about_ca_topic_score_gemma":0.00304849,"teacher_disagreement_score":0.11914827,"about_ca_system_score_codex":0.00010406618,"about_ca_system_score_gemma":0.00003253529,"threshold_uncertainty_score":0.9996761},"labels":[],"label_agreement":null},{"id":"W2139876488","doi":"10.2139/ssrn.658422","title":"The Layoff Rat Race","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Layoff; Race (biology); Business; Economics; Sociology; Gender studies; Unemployment","score_opus":0.009710200724595832,"score_gpt":0.21428387911068372,"score_spread":0.2045736783860879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139876488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85787153,0.046020035,0.02387441,0.032608923,0.0015254171,0.00022972653,0.000025819809,0.00006348433,0.037780672],"genre_scores_gemma":[0.9695518,0.016424252,0.000088672175,0.000328011,0.00059801096,0.000004351673,0.0000016575636,0.00002121315,0.012982013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975204,0.000038766222,0.0005205222,0.00019336716,0.000053461914,0.0016734964],"domain_scores_gemma":[0.9992085,0.00008728335,0.00032025194,0.00027101944,0.000042537937,0.000070385795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004812384,0.00012441709,0.00019738784,0.00006134235,0.00047551031,0.00019231206,0.00042144005,0.00006495008,0.00008090805],"category_scores_gemma":[0.0001511386,0.00009809175,0.00014012499,0.00016045914,0.00004472054,0.00022553747,0.000043935528,0.0012009345,0.00033285932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017878157,0.00002604988,0.0056620413,8.8183475e-7,0.0000575858,7.1474557e-7,0.000042690637,0.000046734374,0.0000044893463,0.97416085,0.00026420344,0.0197159],"study_design_scores_gemma":[0.0003395555,0.00004544829,0.0008510807,0.0000018780506,0.0000032772248,0.00005547152,0.00011932204,0.0008742089,0.0000057418288,0.7254654,0.27210855,0.00013004115],"about_ca_topic_score_codex":0.00006951444,"about_ca_topic_score_gemma":0.0016676335,"teacher_disagreement_score":0.27184433,"about_ca_system_score_codex":0.0007960256,"about_ca_system_score_gemma":0.00029477375,"threshold_uncertainty_score":0.52175295},"labels":[],"label_agreement":null},{"id":"W2140039890","doi":"10.7202/800779ar","title":"La théorie économique des choix de carrière : une interprétation et une vérification empirique","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Earnings; Economics; Philosophy of science; Psychology; Philosophy; Welfare economics; Epistemology; Accounting","score_opus":0.03636195397552206,"score_gpt":0.26594700877721056,"score_spread":0.2295850548016885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140039890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9131762,0.00016141777,0.03292706,0.0115385605,0.00018163194,0.00036422352,0.00023664409,0.00015717247,0.04125714],"genre_scores_gemma":[0.99217194,0.000499219,0.0027041298,0.0033955513,0.00016223046,0.00008255409,0.0001494092,0.00005254456,0.0007824185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750775,0.00021451803,0.0010874794,0.0006936934,0.000019662466,0.0004769208],"domain_scores_gemma":[0.9980912,0.00036298987,0.0006000714,0.00065236987,0.0000885232,0.00020485297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022441193,0.00035498673,0.0005930322,0.0002391941,0.00014139432,0.0002890771,0.00041547525,0.0004083516,0.00010577945],"category_scores_gemma":[0.0004531638,0.00041779247,0.00021623624,0.00037977286,0.00012963978,0.0007271398,0.00005128945,0.0004309124,0.000106441774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006645535,0.00015076982,0.027067749,0.000039516635,0.000054436434,0.000006142701,0.0026188157,0.00032339862,0.00024469697,0.96103424,0.00013096716,0.008262798],"study_design_scores_gemma":[0.00054933614,0.00010768062,0.12759018,0.000040329745,0.00000848817,0.0000128653155,0.00019235129,0.003420828,0.0003212445,0.855985,0.011309382,0.00046235576],"about_ca_topic_score_codex":0.0049381605,"about_ca_topic_score_gemma":0.0018655878,"teacher_disagreement_score":0.10504929,"about_ca_system_score_codex":0.00057891366,"about_ca_system_score_gemma":0.00017353699,"threshold_uncertainty_score":0.9998274},"labels":[],"label_agreement":null},{"id":"W2140104075","doi":"","title":"Employer learning and statistical discrimination in the Canadian labour market","year":2005,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Statistical discrimination; Labour economics; Economics; Employment discrimination; Business; Demographic economics; Political science; Law","score_opus":0.009254849420277628,"score_gpt":0.16839273769996188,"score_spread":0.15913788827968425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140104075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778795,0.00011619459,0.0018848141,0.004434337,0.000052295232,0.0002643402,0.0012709319,0.000047584486,0.014049987],"genre_scores_gemma":[0.97846437,0.00023308131,0.005635592,0.00009845006,0.000021926722,1.5391173e-8,0.00010801432,0.000016372194,0.0154222045],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9984754,0.00021238739,0.00024938793,0.0005077676,0.0001406903,0.00041440772],"domain_scores_gemma":[0.998794,0.00021208859,0.0003627971,0.00031682558,0.00006588042,0.00024839773],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006315046,0.00022745605,0.0005088336,0.0006543247,0.000536996,0.000040208815,0.0007705931,0.00025323633,0.0019993274],"category_scores_gemma":[0.000024643306,0.00031576192,0.00014382438,0.00066631846,0.0005882885,0.0014553784,0.0002811684,0.00046172645,0.000028820845],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079240015,0.00054866914,0.5049076,0.00035963606,0.00029299757,0.0005703207,0.41274852,0.0002263543,0.0000356656,0.071371086,0.0012979512,0.00684877],"study_design_scores_gemma":[0.0019292651,0.00013507425,0.25897783,0.00005879466,0.00005821272,0.0000061344176,0.6722357,0.0013675775,0.0000062738795,0.006686871,0.058041442,0.00049680955],"about_ca_topic_score_codex":0.4062245,"about_ca_topic_score_gemma":0.6279612,"teacher_disagreement_score":0.2594872,"about_ca_system_score_codex":0.0002634212,"about_ca_system_score_gemma":0.00038151353,"threshold_uncertainty_score":0.9999294},"labels":[],"label_agreement":null},{"id":"W2140474167","doi":"10.1016/j.jmoneco.2015.02.002","title":"Worker search effort as an amplification mechanism","year":2015,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Economics; Unemployment; Economic rent; Current Population Survey; Labour economics; Search cost; Population; Survey data collection; Elasticity (physics); Econometrics; Microeconomics; Macroeconomics","score_opus":0.062413598642920044,"score_gpt":0.2552262758770755,"score_spread":0.1928126772341555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140474167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98826706,0.00047684583,0.004450316,0.0007870398,0.0009611438,0.00010940167,0.000055064385,0.000011613558,0.0048814816],"genre_scores_gemma":[0.9942535,0.00059159216,0.0040466445,0.00039041403,0.00038984753,0.000002023726,0.000024643736,0.000030601037,0.00027071673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981962,0.000035090277,0.0011927793,0.00026594507,0.00005245691,0.000257534],"domain_scores_gemma":[0.998204,0.000037539055,0.00083591026,0.00041750763,0.00014404416,0.0003610262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032264458,0.00015656425,0.00048609893,0.00026289333,0.00005637305,0.00012976107,0.0004211327,0.0001344497,0.00013662325],"category_scores_gemma":[0.000080494225,0.0001717471,0.00015727257,0.000114218,0.000036078083,0.0007976536,0.000054517546,0.00028300198,0.0002083565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024412968,0.00023830638,0.07768708,0.000010367653,0.00016579025,0.00002101046,0.00061432115,0.0061860424,0.000011937791,0.91144997,0.0001994817,0.003171557],"study_design_scores_gemma":[0.0010541686,0.00040573513,0.026175335,0.000009840253,0.000014967578,0.00008161858,0.0002596525,0.019562032,0.000059847807,0.9437605,0.0083176205,0.00029869494],"about_ca_topic_score_codex":0.0002413858,"about_ca_topic_score_gemma":0.00003333258,"teacher_disagreement_score":0.051511742,"about_ca_system_score_codex":0.0002585477,"about_ca_system_score_gemma":0.00011873011,"threshold_uncertainty_score":0.70036435},"labels":[],"label_agreement":null},{"id":"W2140590368","doi":"10.34989/swp-2000-1","title":"The Employment Costs of Downward Nominal-Wage Rigidity","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; Bank of Canada","funders":"","keywords":"Rigidity (electromagnetism); Wage; Economics; Labour economics","score_opus":0.046282148793297104,"score_gpt":0.30513719942350775,"score_spread":0.25885505063021064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140590368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9046639,0.0016651949,0.000031121013,0.00066868355,0.001271379,0.0008077065,0.00090676366,0.000022770995,0.08996247],"genre_scores_gemma":[0.97010463,0.027216876,0.00036488174,0.00006983264,0.00018660029,0.00023276529,0.00013757538,0.00007582575,0.0016110109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950216,0.00033580617,0.0021243186,0.0013363551,0.00016374668,0.0010182139],"domain_scores_gemma":[0.99529725,0.00094925956,0.0009792654,0.0023257653,0.00023259032,0.00021587516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008299985,0.00042406638,0.0012174322,0.0004206043,0.00028876236,0.0004339898,0.0014608112,0.0005535903,0.00018283632],"category_scores_gemma":[0.0012649018,0.00043226863,0.00048482555,0.0002679798,0.0005210845,0.00013166541,0.0022396315,0.0019008045,0.000021801821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005078227,0.0015410614,0.20468993,0.0007112698,0.0009947912,0.00016688816,0.0015776921,0.0076018893,0.000088194145,0.47692716,0.00021535478,0.30497795],"study_design_scores_gemma":[0.004775871,0.0005915193,0.30764633,0.0014069502,0.000058510414,0.000027164231,0.003623108,0.04216486,0.0005366256,0.35288858,0.28190792,0.0043725744],"about_ca_topic_score_codex":0.0020784936,"about_ca_topic_score_gemma":0.0029710892,"teacher_disagreement_score":0.30060536,"about_ca_system_score_codex":0.0020102432,"about_ca_system_score_gemma":0.00050332525,"threshold_uncertainty_score":0.9998129},"labels":[],"label_agreement":null},{"id":"W2140943090","doi":"10.1080/13636821003690504","title":"Learning by experience, work and productivity: theory and empirical evidence","year":2010,"lang":"en","type":"article","venue":"Journal of Vocational Education and Training","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Human capital; Work (physics); Empirical evidence; Economics; Social learning; Cognition; Process (computing); Positive economics; Psychology; Sociology; Epistemology; Computer science; Economic growth; Engineering","score_opus":0.06690540965307554,"score_gpt":0.32374225898624903,"score_spread":0.2568368493331735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140943090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916798,0.002347993,0.0007572702,0.0040560598,0.000375469,0.00003965772,0.000002657249,0.000003484985,0.0007376413],"genre_scores_gemma":[0.99767864,0.00026805638,0.0013002399,0.0002462673,0.00018994366,0.000004327862,0.0000018768816,0.0000059114,0.0003047216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934375,0.000040720708,0.00033131725,0.00015669824,0.000044670986,0.000082818966],"domain_scores_gemma":[0.9990879,0.00033192418,0.0003347905,0.00005824986,0.00009206086,0.00009505608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020366122,0.00006677891,0.00015218835,0.00010119026,0.000118053555,0.00010136211,0.000052092662,0.00004403218,0.000040002196],"category_scores_gemma":[0.0017534896,0.000065116874,0.000018826056,0.00011782676,0.00010851071,0.00038171167,0.00001769111,0.0002719097,6.2613003e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047169462,0.00011157807,0.55925435,0.00002078069,0.000022030626,3.7676455e-7,0.014756428,0.0000016522927,0.00019283629,0.28740412,0.00013404698,0.13805461],"study_design_scores_gemma":[0.00020328011,0.000068094814,0.86607677,0.000049473867,0.00000729623,0.00007520471,0.0025198373,0.00006679526,0.000011910664,0.108850576,0.02192471,0.0001460677],"about_ca_topic_score_codex":0.0000052841897,"about_ca_topic_score_gemma":0.0000016132336,"teacher_disagreement_score":0.3068224,"about_ca_system_score_codex":0.000012651408,"about_ca_system_score_gemma":0.00010600301,"threshold_uncertainty_score":0.26553893},"labels":[],"label_agreement":null},{"id":"W2141539827","doi":"10.5539/ass.v7n10p3","title":"Skill Level and the Returns to Job-Tenure in Internal Labour Markets in Australia","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Labour economics; Economics; Relevance (law); Test (biology); Demographic economics; Accounting","score_opus":0.05268332851326502,"score_gpt":0.27161549490367654,"score_spread":0.21893216639041152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141539827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9073001,0.000022780749,0.00008828528,0.001628245,0.0002424771,0.00014886576,0.00007291854,0.0000051814445,0.09049111],"genre_scores_gemma":[0.99818647,0.000014300678,0.00032441717,0.00037844703,0.000049653238,0.000010863042,3.818963e-7,0.000005427492,0.0010300385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988748,0.000040163028,0.00034937565,0.0003343911,0.00006344253,0.00033784987],"domain_scores_gemma":[0.99961007,0.000026676982,0.00011338555,0.00014734604,0.00002615504,0.00007638942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299644,0.00009068527,0.00021339138,0.00016565525,0.00011225056,0.00009185002,0.0003972064,0.000062912004,0.00012406579],"category_scores_gemma":[0.00031490024,0.00007876817,0.00003420722,0.00081801636,0.0003889726,0.00023317868,0.00015349667,0.00018841607,0.000026775446],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004440208,0.000023332634,0.22469556,0.0000039708407,0.0000022875483,0.0000085022275,0.011837949,6.53761e-8,0.0000052773166,0.76081896,0.00002980322,0.002529911],"study_design_scores_gemma":[0.00039002285,0.000008924992,0.81812894,0.000008131852,4.818419e-7,0.0000012060244,0.000480062,0.000028840153,0.0000040605514,0.18054375,0.0003090078,0.0000965706],"about_ca_topic_score_codex":0.005105785,"about_ca_topic_score_gemma":0.0036239151,"teacher_disagreement_score":0.5934334,"about_ca_system_score_codex":0.00012664759,"about_ca_system_score_gemma":0.000027295928,"threshold_uncertainty_score":0.77184534},"labels":[],"label_agreement":null},{"id":"W2142376250","doi":"10.1111/j.0307-3378.2007.00252.x","title":"SHORT‐ AND LONG‐RUN DECOMPOSITIONS OF UK WAGE INEQUALITY CHANGES","year":2007,"lang":"en","type":"article","venue":"Bulletin of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Wage inequality; Inequality; Wage; Competition (biology); Labour economics; Work (physics); Short run; Production (economics); Technological change; Macroeconomics","score_opus":0.10811504362780211,"score_gpt":0.35681403670938694,"score_spread":0.24869899308158483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142376250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674239,0.0012459349,0.0005062598,0.0018421495,0.00013367334,0.00027882415,0.000372997,0.000010023115,0.02818623],"genre_scores_gemma":[0.9979019,0.00067929295,0.000641394,0.00006561898,0.00009024207,0.000013389011,0.000025098901,0.000020922122,0.0005620961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979502,0.00008046297,0.0009939588,0.0004445456,0.00006947633,0.00046135],"domain_scores_gemma":[0.9982551,0.0007030235,0.00026545767,0.00051726133,0.000114265604,0.00014493034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0091708815,0.00013611522,0.0005316845,0.00043337824,0.00010633223,0.000040096966,0.00033519958,0.00013951251,0.001766651],"category_scores_gemma":[0.00025386305,0.00015956703,0.00009180302,0.00014474265,0.00034622176,0.000033027907,0.00026195444,0.0002502229,0.00009002263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014039804,0.00017443766,0.2768998,0.00016645853,0.00009152947,0.000007746231,0.00022111546,0.000017921122,0.00017562546,0.71728486,0.0011347008,0.00368541],"study_design_scores_gemma":[0.0011644759,0.00042809686,0.7944595,0.00008753323,0.000010237594,0.000009659077,0.0002985707,0.0004608127,0.0021641804,0.15856071,0.041787907,0.0005682888],"about_ca_topic_score_codex":0.001570669,"about_ca_topic_score_gemma":0.0006346637,"teacher_disagreement_score":0.55872416,"about_ca_system_score_codex":0.00013227308,"about_ca_system_score_gemma":0.000027779179,"threshold_uncertainty_score":0.99914587},"labels":[],"label_agreement":null},{"id":"W2142972660","doi":"10.2139/ssrn.2717671","title":"The Costs of Occupational Mobility: An Aggregate Analysis","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia Hospital; York University","funders":"","keywords":"Occupational mobility; Aggregate (composite); Business; Labour economics; Economics; Composite material; Materials science","score_opus":0.03068921607507527,"score_gpt":0.27036386229550197,"score_spread":0.2396746462204267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142972660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766651,0.0036954626,0.017631186,0.00036697852,0.00019450286,0.00007336011,0.00006959509,0.000009044491,0.001294792],"genre_scores_gemma":[0.9971991,0.0021418666,0.00007358415,0.000042529955,0.00009355408,0.000003657297,0.000016952881,0.000010080889,0.00041864114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99810505,0.00008390575,0.0006512368,0.00019773557,0.00009700447,0.0008650454],"domain_scores_gemma":[0.9986572,0.00009515941,0.0005979533,0.00034040684,0.00019317202,0.00011607485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007976388,0.000103037404,0.00028877342,0.0001678998,0.00015960401,0.000083942185,0.00037258724,0.000057661553,0.000016419277],"category_scores_gemma":[0.0003667524,0.000083266495,0.00019012783,0.00055637496,0.0000706848,0.00022203707,0.000035710662,0.0005416675,0.000013451785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092114955,0.000074689,0.11169119,7.470065e-7,0.0005057353,4.440413e-7,0.000072387484,0.00035388255,0.0000014339945,0.8831197,0.0000065225736,0.0040811365],"study_design_scores_gemma":[0.00043414166,0.00018017773,0.025115564,0.0000018261699,0.000051171286,0.000011743701,0.00044895548,0.007880357,0.000003986859,0.9635374,0.0022029812,0.00013168648],"about_ca_topic_score_codex":0.0006398678,"about_ca_topic_score_gemma":0.0048389784,"teacher_disagreement_score":0.08657563,"about_ca_system_score_codex":0.000839844,"about_ca_system_score_gemma":0.00068379607,"threshold_uncertainty_score":0.3395509},"labels":[],"label_agreement":null},{"id":"W2143123036","doi":"10.1111/j.1540-5982.2011.01676.x","title":"The ins and outs of unemployment in Canada, 1976–2008","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Economics; Recession; Great recession; Unemployment rate; Labour economics; Full employment; Demographic economics; Keynesian economics; Macroeconomics","score_opus":0.13676256327408096,"score_gpt":0.1659996041592208,"score_spread":0.029237040885139842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143123036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99220794,0.0012738232,0.000014874488,0.0010880511,0.001083773,0.00016895766,0.00047391857,0.0000012363186,0.0036874486],"genre_scores_gemma":[0.99872357,0.0005380544,0.00015021002,0.00026777788,0.00008270366,0.000007426005,0.0000034255852,0.000030109859,0.0001967281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974515,0.000038962808,0.0016057243,0.0002804763,0.0000021485655,0.0006212235],"domain_scores_gemma":[0.99738115,0.00014947096,0.0011261144,0.0003883294,0.000093547525,0.00086138543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013396367,0.00021136401,0.00068741414,0.0004268293,0.000114681265,0.000049252107,0.0005412014,0.00010301059,0.00015561476],"category_scores_gemma":[0.00022368951,0.00022775412,0.000111533096,0.0001426523,0.0001656647,0.0002219946,0.000032215696,0.0002875845,0.0000038745748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032641776,0.000007970566,0.3188865,0.00001715424,0.00007054834,0.000053244497,0.00082651223,0.00020000697,4.1492842e-7,0.67873347,0.00010068879,0.0010708758],"study_design_scores_gemma":[0.0010463612,0.00023518721,0.21516395,0.000076170756,0.000015665684,0.000102314174,0.0009521716,0.001982581,0.000032018394,0.7568521,0.0229993,0.00054217636],"about_ca_topic_score_codex":0.99466765,"about_ca_topic_score_gemma":0.99997336,"teacher_disagreement_score":0.10372253,"about_ca_system_score_codex":0.0025803542,"about_ca_system_score_gemma":0.0032077243,"threshold_uncertainty_score":0.9287543},"labels":[],"label_agreement":null},{"id":"W2143667653","doi":"","title":"Crime and the Labor Market in a Search Model with Pairwise-Efficient Separations","year":2007,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université du Québec à Montréal","keywords":"Unemployment; Subsidy; Economics; Labour economics; Commit; Punishment (psychology); Welfare; Wage; Deterrence (psychology); Duration (music)","score_opus":0.018509852410057544,"score_gpt":0.21843777788546595,"score_spread":0.1999279254754084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143667653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8755385,0.000564343,0.0052743736,0.0014534611,0.000036897753,0.00042961515,0.0035665103,0.000070759765,0.1130655],"genre_scores_gemma":[0.99641705,0.000048366805,0.00086403574,0.0007309128,0.00003615568,0.000022804246,0.000090108595,0.0000444226,0.0017461731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828696,0.00004841345,0.0006392054,0.00045428547,0.00010325269,0.0004678876],"domain_scores_gemma":[0.9989553,0.0003141576,0.00014010603,0.00038719532,0.000029737617,0.00017347682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018508076,0.00021181158,0.0003401873,0.0002312253,0.00014144724,0.00084096583,0.00029951273,0.000103342834,0.00015226119],"category_scores_gemma":[0.00019846405,0.00016010067,0.00007656679,0.0006527605,0.00021269998,0.0009879079,0.00017393837,0.00040105273,0.00014771055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006118007,0.0001876786,0.30999467,0.000030738916,0.000029353097,0.000023357537,0.00012475665,0.00078886107,9.973097e-7,0.6875585,0.00015169368,0.0004975984],"study_design_scores_gemma":[0.005445606,0.000109940665,0.302303,0.00008067647,0.000013210436,0.000019921537,0.00017173958,0.30010796,0.000043971653,0.3676006,0.023140127,0.00096328463],"about_ca_topic_score_codex":0.000023507817,"about_ca_topic_score_gemma":0.000012545696,"teacher_disagreement_score":0.31995788,"about_ca_system_score_codex":0.000048912712,"about_ca_system_score_gemma":0.000060181643,"threshold_uncertainty_score":0.81094533},"labels":[],"label_agreement":null},{"id":"W2143812450","doi":"10.7202/602363ar","title":"Rotation de la main-d’oeuvre, allocations-chômage et emploi","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02797635765768753,"score_gpt":0.26376403432358286,"score_spread":0.23578767666589534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143812450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8712462,0.0028983287,0.027792875,0.027755175,0.0010987066,0.0005291541,0.0010846148,0.00010886269,0.06748608],"genre_scores_gemma":[0.96110845,0.003477556,0.008389494,0.011095184,0.0004095862,0.000057830486,0.00019189184,0.000066412744,0.015203614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99657786,0.0005292194,0.0013335419,0.00078706065,0.000037876456,0.0007344272],"domain_scores_gemma":[0.99729747,0.0008833877,0.0007071349,0.0007807364,0.000081010185,0.0002502628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042877663,0.00043073448,0.0006877195,0.00027369495,0.00018490387,0.00055912614,0.0004636435,0.0006397884,0.0008671661],"category_scores_gemma":[0.00085673097,0.0006008548,0.00030494906,0.00033170675,0.00019169328,0.00082385587,0.00007457367,0.0006172392,0.00038992718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043439468,0.0004356286,0.013721907,0.00006898437,0.00009367145,0.000020584015,0.002555064,0.0005650202,0.000059603793,0.96711135,0.0011274922,0.014197262],"study_design_scores_gemma":[0.00080085936,0.00013370525,0.19568789,0.00007467987,0.000024582725,0.000029355566,0.00013082928,0.004898991,0.000060414794,0.6380872,0.15944074,0.000630745],"about_ca_topic_score_codex":0.0021719732,"about_ca_topic_score_gemma":0.00043229075,"teacher_disagreement_score":0.32902414,"about_ca_system_score_codex":0.0009055684,"about_ca_system_score_gemma":0.00028146818,"threshold_uncertainty_score":0.9996443},"labels":[],"label_agreement":null},{"id":"W2144032869","doi":"","title":"The Approach to Seasonal Unemployment in the Nordic Countries: A Comparison with Canada","year":2002,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Seasonality; Demographic economics; Labour economics; Economic growth; Biology","score_opus":0.026404538067408168,"score_gpt":0.1966849984756859,"score_spread":0.17028046040827774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144032869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8572246,0.0029775773,0.0026400047,0.010793663,0.00036988352,0.0021618803,0.0073896847,0.000047259444,0.116395436],"genre_scores_gemma":[0.9936471,0.0013030926,0.001760958,0.0005110854,0.000054292705,0.000012161377,0.00022869467,0.00004324954,0.0024393545],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99682426,0.00035696247,0.0007297465,0.00094986055,0.0004455168,0.000693658],"domain_scores_gemma":[0.9966516,0.00063985575,0.00075812975,0.0015885413,0.0001420628,0.00021984127],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016312713,0.00049296755,0.0009753582,0.00021763974,0.0006799933,0.00011977762,0.002885586,0.0001835089,0.00010122708],"category_scores_gemma":[0.00011842984,0.00042377057,0.00026602813,0.00041949967,0.00054329203,0.00007851153,0.0013234654,0.0013643497,0.0000130486105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003104639,0.002846548,0.40214863,0.0016112541,0.0024383739,0.00043958766,0.13127387,0.026770715,0.0000022194652,0.39154541,0.03319191,0.0046268427],"study_design_scores_gemma":[0.0024571358,0.00036452195,0.15037271,0.00045028035,0.00011753765,0.000025642188,0.029812627,0.14870523,6.718315e-7,0.012388185,0.65365845,0.0016469843],"about_ca_topic_score_codex":0.5005581,"about_ca_topic_score_gemma":0.717985,"teacher_disagreement_score":0.6204666,"about_ca_system_score_codex":0.0008638857,"about_ca_system_score_gemma":0.00065889256,"threshold_uncertainty_score":0.9998214},"labels":[],"label_agreement":null},{"id":"W2144541021","doi":"10.1177/0019793915594597","title":"Why Do Women Leave Science and Engineering?","year":2010,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of British Columbia; McGill University","keywords":"Science and engineering; Promotion (chess); Gender gap; Demographic economics; Engineering; Economics; Political science; Engineering ethics; Law","score_opus":0.02699771373691858,"score_gpt":0.23128874467294028,"score_spread":0.2042910309360217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144541021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580501,0.025559075,0.00004560297,0.007587092,0.0007743764,0.00045768495,0.00025138236,0.000039072267,0.007235635],"genre_scores_gemma":[0.98495734,0.011877415,0.000376095,0.0017980749,0.00025399792,0.00006156248,0.0000073052793,0.000017232089,0.00065098633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990274,0.000010334828,0.00040668467,0.0002936362,0.000053252395,0.00020869862],"domain_scores_gemma":[0.99931306,0.000071790906,0.00014736249,0.0002308797,0.00008869203,0.0001482079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019656345,0.000106339045,0.00028700914,0.00012568566,0.0001560604,0.00012735029,0.00012503484,0.00010517594,0.00063178135],"category_scores_gemma":[0.0017679667,0.00010225005,0.00002301487,0.000707647,0.00013924626,0.00026269766,0.0000701369,0.00035597777,0.00003581077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029574496,0.000022790415,0.02771236,0.0001011827,0.000015799927,0.0000012605224,0.000095554984,0.0000016101883,0.000029582916,0.96082145,0.0015743471,0.009621117],"study_design_scores_gemma":[0.00033023406,0.000024953673,0.013092131,0.00014293258,0.000008535828,0.0000060886264,0.000007259627,0.0003220766,0.000001692776,0.014766303,0.971101,0.0001968132],"about_ca_topic_score_codex":0.000068794645,"about_ca_topic_score_gemma":0.0000074728214,"teacher_disagreement_score":0.96952665,"about_ca_system_score_codex":0.000045023655,"about_ca_system_score_gemma":0.000058686102,"threshold_uncertainty_score":0.69175625},"labels":[],"label_agreement":null},{"id":"W2146020513","doi":"10.1162/00335530151144140","title":"Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis","year":2001,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Falling (accident); Slowdown; Demographic economics; Gender gap; Educational attainment; Wage; Demography; Cohort; Economics; Labour economics; Psychology; Medicine; Sociology; Economic growth","score_opus":0.025171386805321026,"score_gpt":0.23410833118914634,"score_spread":0.20893694438382532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146020513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670493,0.0002479759,0.016049398,0.014136099,0.0004354445,0.00044433388,0.00085166865,0.000007753139,0.00077800365],"genre_scores_gemma":[0.9968227,0.00011667901,0.0011413678,0.0013055365,0.0003318072,0.000025285464,0.0000150183805,0.000033541528,0.00020806683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976656,0.00008438311,0.0015104555,0.0002893774,0.000045011988,0.00040520963],"domain_scores_gemma":[0.9972158,0.0005577903,0.0013435112,0.00057772687,0.0001531263,0.00015200823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048033134,0.00022135161,0.00076011877,0.00038051474,0.00033057568,0.00025960794,0.00073846546,0.00008897484,0.00008818472],"category_scores_gemma":[0.00010065984,0.00016427143,0.0005822459,0.00049110444,0.000060493938,0.0002422993,0.000020341186,0.00025411395,0.000008480666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020434288,0.0004513141,0.39520252,0.000050221784,0.0072588963,0.000042649903,0.010013491,0.07728199,0.00006223595,0.49896023,0.002672289,0.0059607564],"study_design_scores_gemma":[0.004058147,0.0017230613,0.07356938,0.00006117513,0.0012274402,0.00008416595,0.005883827,0.34296954,0.00005053377,0.5374449,0.031643998,0.0012838541],"about_ca_topic_score_codex":0.00040820253,"about_ca_topic_score_gemma":0.0012651004,"teacher_disagreement_score":0.32163313,"about_ca_system_score_codex":0.00032073606,"about_ca_system_score_gemma":0.00008313634,"threshold_uncertainty_score":0.66987944},"labels":[],"label_agreement":null},{"id":"W2146057620","doi":"10.1093/qje/qjy025","title":"Firming Up Inequality*","year":2018,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":645,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council","keywords":"Earnings; Variance (accounting); Economics; Labour economics; Wage; Wage inequality; Inequality; Dispersion (optics); Demographic economics; Sorting; Wage dispersion; Work (physics); Efficiency wage; Finance; Accounting","score_opus":0.04142247047991522,"score_gpt":0.24605032394958862,"score_spread":0.20462785346967338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146057620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862138,0.00032798215,0.003065591,0.0017339182,0.0024400011,0.00007761062,0.000060296927,0.000008698143,0.006072117],"genre_scores_gemma":[0.9973441,0.00010558086,0.00047268614,0.00058223435,0.0011162383,0.0000015726184,0.0000016353658,0.000023423097,0.00035254084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803317,0.000053575313,0.001421134,0.00018616623,0.000025139112,0.00028084434],"domain_scores_gemma":[0.99766994,0.0001617834,0.0014719245,0.00045666163,0.00013688982,0.00010279896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003126298,0.00015514233,0.00047541253,0.0001510833,0.00016195001,0.00015336595,0.00063058134,0.00008236016,0.0003097195],"category_scores_gemma":[0.00009713635,0.0001296034,0.00022833172,0.00012818836,0.00016103893,0.00041033057,0.000033008455,0.00024873792,0.00024636745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115371375,0.000066856286,0.009624344,0.000012981005,0.00017283247,0.0000042188944,0.0038237753,0.000032236854,0.000017842389,0.9764403,0.00046371293,0.009225544],"study_design_scores_gemma":[0.00088741834,0.0007975611,0.0064756083,0.000019486277,0.000017068998,0.00007265379,0.00067784515,0.0024423567,0.000049161034,0.9529181,0.03535099,0.00029176543],"about_ca_topic_score_codex":0.00008897857,"about_ca_topic_score_gemma":0.000074942385,"teacher_disagreement_score":0.034887277,"about_ca_system_score_codex":0.00011541818,"about_ca_system_score_gemma":0.000047080033,"threshold_uncertainty_score":0.52850735},"labels":[],"label_agreement":null},{"id":"W2146356002","doi":"10.1177/0022185615571981","title":"The Australian labour market in 2014: Still ill?","year":2015,"lang":"en","type":"article","venue":"Journal of Industrial Relations","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Workforce; Labour economics; Unemployment; Economics; Fell; Prime minister; Job loss; Quarter (Canadian coin); Demographic economics; Economic growth; Political science; Politics","score_opus":0.0833285460115095,"score_gpt":0.2698422147013834,"score_spread":0.1865136686898739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146356002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93524045,0.00073424354,0.00037799097,0.035229,0.0033082112,0.00020595323,0.00018995458,0.000008415542,0.024705768],"genre_scores_gemma":[0.9916,0.00015370919,0.00022802585,0.00012367727,0.0005157693,0.0000023177781,0.000002234954,0.000011198128,0.0073630665],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983949,0.000089898575,0.0011199727,0.00010601177,0.000086888154,0.00020231039],"domain_scores_gemma":[0.9982797,0.00029580187,0.00087757775,0.00018990392,0.00020829195,0.00014874141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043925177,0.00009038051,0.0002619194,0.00019948866,0.00007467197,0.0001106571,0.0002618453,0.00018189958,0.0002409063],"category_scores_gemma":[0.0033136306,0.00006998486,0.000105804094,0.00034267362,0.000045912897,0.00028952386,0.00003294784,0.00061195175,0.00006568554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020612041,0.000119357836,0.4783613,0.000001884706,0.00008731035,0.000025903051,0.0003696824,0.0012387643,0.0000012464409,0.35728523,0.15933266,0.0029705185],"study_design_scores_gemma":[0.001975066,0.0001026651,0.06687888,0.000024708539,0.000007908721,0.00001382606,0.00026466613,0.0005593842,0.000001407639,0.20277841,0.7272525,0.0001406036],"about_ca_topic_score_codex":0.00024293528,"about_ca_topic_score_gemma":0.00011406584,"teacher_disagreement_score":0.5679198,"about_ca_system_score_codex":0.00026102967,"about_ca_system_score_gemma":0.00014209528,"threshold_uncertainty_score":0.39669648},"labels":[],"label_agreement":null},{"id":"W2146545490","doi":"10.1111/j.1540-5982.2009.01575.x","title":"The evolution of male‐female earnings differentials in Canadian universities,1970–2001","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Earnings; Gender gap; Demographic economics; Male female; Gender pay gap; Demography; Labour economics; Economics; Sociology; Accounting; Wage","score_opus":0.0554925078852664,"score_gpt":0.1756250548005161,"score_spread":0.1201325469152497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146545490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873888,0.0003042878,0.00003425802,0.0015790336,0.002329304,0.00020042947,0.0007483135,0.0000026810415,0.007412888],"genre_scores_gemma":[0.9979276,0.00013979146,0.00012960783,0.000112948874,0.0002630957,0.000005501426,0.000013780379,0.000039148974,0.001368534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970078,0.000057650654,0.0014663079,0.00034360588,0.0000030511076,0.001121613],"domain_scores_gemma":[0.9960955,0.00021080101,0.0012652578,0.00052260107,0.0001820209,0.0017238639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026966312,0.0002535921,0.00073685317,0.0013261997,0.00027785424,0.00014011668,0.00089037925,0.00028985814,0.0007460668],"category_scores_gemma":[0.0004302518,0.00029572452,0.00025277183,0.00027130992,0.00029216375,0.0004226576,0.000028215596,0.00069129706,0.00002234127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002135474,0.000007193216,0.3043169,0.00001470496,0.000055419852,0.000042110354,0.00052721065,0.00046394303,0.00000930763,0.69429964,0.00006748301,0.00017472677],"study_design_scores_gemma":[0.0016454709,0.00028711648,0.29283997,0.00010297422,0.000034638895,0.0003096702,0.0029471212,0.0057367794,0.000030636453,0.5990046,0.096088156,0.00097282726],"about_ca_topic_score_codex":0.97618383,"about_ca_topic_score_gemma":0.99987125,"teacher_disagreement_score":0.09602067,"about_ca_system_score_codex":0.005403521,"about_ca_system_score_gemma":0.0053014224,"threshold_uncertainty_score":0.9999495},"labels":[],"label_agreement":null},{"id":"W2147257240","doi":"10.1111/labr.12014","title":"Unionization and Labour‐market Discrimination: A Closer Look at Non‐unionized Workers","year":2013,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"HEC Montréal","keywords":"Labour economics; Wage; Context (archaeology); Sorting; Competition (biology); Economics; Occupational segregation; Public sector; Economy","score_opus":0.011938704558522315,"score_gpt":0.20592088680949272,"score_spread":0.19398218225097041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147257240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718119,0.00046737635,0.0019843734,0.0030477354,0.00039711662,0.00035182157,0.00020101255,0.000052759784,0.02168589],"genre_scores_gemma":[0.9607334,0.00037219192,0.0009884433,0.00073480135,0.00011346831,0.000052487838,0.00006491373,0.000034643715,0.03690564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986357,0.000046718815,0.0005065189,0.00043435072,0.00006056154,0.00031615258],"domain_scores_gemma":[0.9990159,0.0000740253,0.0002798109,0.00037121648,0.0001226046,0.00013641539],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060911174,0.00019123232,0.00032134302,0.00013944581,0.00021266712,0.00021877479,0.00017440491,0.00014060436,0.003969252],"category_scores_gemma":[0.00015277874,0.00020050273,0.000059300655,0.00038549793,0.00006872213,0.00045800742,0.00015403105,0.00012793088,0.0003481492],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027531643,0.00007416839,0.446618,0.000081665465,0.00004884689,0.0000033063782,0.00038071765,0.000015741449,0.00003940315,0.5485119,0.002486367,0.0017123552],"study_design_scores_gemma":[0.0009888093,0.000029148745,0.8267993,0.00002452598,0.000006395897,0.0000035127155,0.00013323165,0.0043068947,0.000017403616,0.13533801,0.0320125,0.0003402898],"about_ca_topic_score_codex":0.0012095751,"about_ca_topic_score_gemma":0.000189785,"teacher_disagreement_score":0.41317388,"about_ca_system_score_codex":0.00014014251,"about_ca_system_score_gemma":0.00001817823,"threshold_uncertainty_score":0.99694127},"labels":[],"label_agreement":null},{"id":"W2147868833","doi":"10.1920/wp.ifs.2011.1116","title":"On-the-Job Search and Precautionary Savings: Theory and Empirics of Earnings and Wealth Inequality","year":2011,"lang":"en","type":"paratext","venue":"Working paper series - Institute for Fiscal Studies/Working papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Earnings; Inequality; Economics; Precautionary savings; Labour economics; Monetary economics; Finance; Mathematics","score_opus":0.07499174136358025,"score_gpt":0.2851040580971699,"score_spread":0.21011231673358963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147868833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6722115,0.09032485,0.0005393319,0.006547773,0.008561,0.0034334117,0.002393513,0.00015430759,0.21583429],"genre_scores_gemma":[0.94532925,0.038325015,0.0006379217,0.0012440265,0.00041229566,0.00021774932,0.00015160828,0.00011538726,0.013566767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996364,0.00023885714,0.0013018375,0.001207123,0.0001669831,0.0007211951],"domain_scores_gemma":[0.9966463,0.0016683108,0.0008455002,0.00057776,0.000090660076,0.00017149231],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004233589,0.0007041373,0.0015211619,0.00022878805,0.0011826378,0.00016071314,0.00040221727,0.0005212121,0.00011667344],"category_scores_gemma":[0.0009806076,0.0006071544,0.00020990858,0.00038069123,0.0016684849,0.00019467842,0.00073075027,0.0008972539,0.000013575549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010057633,0.0001008183,0.028065478,0.0016407792,0.0013532555,0.0000061788087,0.008220158,0.00006917516,0.000008998821,0.94719094,0.0032731767,0.0090652965],"study_design_scores_gemma":[0.0011625693,0.00055006205,0.033505503,0.0019254395,0.00014616975,0.000017940622,0.0014665555,0.00004707554,0.0000066711755,0.07220345,0.88756704,0.0014015147],"about_ca_topic_score_codex":0.0002979043,"about_ca_topic_score_gemma":0.0005360245,"teacher_disagreement_score":0.88429385,"about_ca_system_score_codex":0.00018333057,"about_ca_system_score_gemma":0.000075436445,"threshold_uncertainty_score":0.99963796},"labels":[],"label_agreement":null},{"id":"W2148194708","doi":"10.7202/010926ar","title":"Visible Minorities under the Canadian Employment Equity Act, 1987-1999","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Disadvantaged; Equity (law); Census; Educational attainment; Demographic economics; Business; Labour economics; Economics; Economic growth; Political science; Sociology","score_opus":0.058093857570279475,"score_gpt":0.26292100478623154,"score_spread":0.20482714721595208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148194708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6038826,0.0027305125,0.0012975456,0.043221824,0.0005637358,0.00040313078,0.0006415278,0.00007097285,0.34718814],"genre_scores_gemma":[0.9854078,0.00011986771,0.00021255223,0.00068814016,0.0002413863,0.000022924562,0.00004649105,0.000017617005,0.0132432105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988019,0.000029949926,0.00048431064,0.00025686756,0.00006438265,0.00036260334],"domain_scores_gemma":[0.9990789,0.00013087635,0.00016548033,0.00043603426,0.00004399273,0.00014471594],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076575216,0.00013938244,0.00018233714,0.00018854918,0.00068944757,0.00020514085,0.00030243007,0.00023404254,0.0011108904],"category_scores_gemma":[0.000100522695,0.00012964995,0.00008252125,0.0003736473,0.00009683892,0.00022246978,0.000089039546,0.00038539717,0.0005159458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020358214,0.000035951023,0.047076546,8.4771256e-7,0.000046060864,8.785869e-7,0.0002775191,0.001455597,5.3618385e-7,0.94027454,0.0059651807,0.004864297],"study_design_scores_gemma":[0.0003056716,0.00002585231,0.05353536,0.000010788926,0.000013342692,0.0000029037678,0.0004190572,0.0024481816,0.00001752664,0.09895054,0.84395975,0.0003110332],"about_ca_topic_score_codex":0.08511828,"about_ca_topic_score_gemma":0.20394796,"teacher_disagreement_score":0.84132403,"about_ca_system_score_codex":0.0006092201,"about_ca_system_score_gemma":0.0002724285,"threshold_uncertainty_score":0.99980223},"labels":[],"label_agreement":null},{"id":"W214866130","doi":"","title":"The Impact of Taxation on Unemployment in OECD Countries","year":2002,"lang":"en","type":"article","venue":"Cato Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Null hypothesis; Cointegration; Estimation; Labour economics; Simultaneity; Econometrics; Macroeconomics","score_opus":0.03393066523151145,"score_gpt":0.25552886623512544,"score_spread":0.221598201003614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W214866130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919386,0.001261851,0.00010582086,0.0007429758,0.0002907291,0.00005663061,0.000049651313,0.0000026871198,0.005551052],"genre_scores_gemma":[0.99805397,0.0014325551,0.000011871314,0.00005131465,0.000058432892,0.0000022546583,0.0000010399635,0.0000065977956,0.00038197034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922645,0.00002316895,0.00047377148,0.000083576364,0.000038663922,0.00015438096],"domain_scores_gemma":[0.9991011,0.00008109669,0.00059951626,0.00014582349,0.000031182815,0.00004129972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009258649,0.000066960376,0.00015639087,0.00009857845,0.00009438122,0.00007493669,0.00013374547,0.000035484107,0.0004004825],"category_scores_gemma":[0.00013034424,0.000047822523,0.0000920209,0.00008492169,0.00003355977,0.00008132579,0.000012154783,0.00015324785,0.000077110635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044621906,0.0001363681,0.7337876,0.0000060009556,0.00005277776,0.000006972752,0.0006455755,0.0013841403,0.000005444986,0.25949413,0.002322558,0.0021138205],"study_design_scores_gemma":[0.0012561106,0.0003576259,0.7685037,0.000035161745,0.0000036529423,0.000022349413,0.00008312791,0.016229423,0.000042678923,0.19470707,0.018511932,0.00024716242],"about_ca_topic_score_codex":0.00012384292,"about_ca_topic_score_gemma":0.000023303961,"teacher_disagreement_score":0.06478706,"about_ca_system_score_codex":0.00021819939,"about_ca_system_score_gemma":0.000013880334,"threshold_uncertainty_score":0.43850026},"labels":[],"label_agreement":null},{"id":"W2149102352","doi":"10.3386/w10174","title":"Wages Equal Productivity: Fact or Fiction?","year":2003,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Wage; Economics; Labour economics; Human capital; Tanzania; Efficiency wage; Imperfect; Marginal product; Sample (material); Production (economics); Economic growth; Microeconomics","score_opus":0.3401720183487977,"score_gpt":0.45579800356209504,"score_spread":0.11562598521329737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149102352","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3302697,0.00040127718,0.00042200185,0.001325245,0.00060271024,0.00046758985,0.00034960711,0.0000277754,0.6661341],"genre_scores_gemma":[0.99330366,0.00013178097,0.00040564415,0.00003142427,0.0001740706,0.0000460808,0.00003980992,0.000022126176,0.0058454364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806136,0.00013671497,0.00072197046,0.00053529616,0.00016528173,0.00037935865],"domain_scores_gemma":[0.9984157,0.00061967113,0.00024932364,0.0003370338,0.0002872318,0.00009105335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00664871,0.00013185742,0.0003590394,0.0005240866,0.00016454246,0.000082267616,0.00028946938,0.0001251894,0.0020398793],"category_scores_gemma":[0.0023417822,0.00013431405,0.00010546998,0.00032431053,0.00016097321,0.00034547425,0.00006625516,0.00030186505,0.00035681808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051008963,0.00013397208,0.017522708,0.000027614042,0.000060180333,0.0000012397121,0.00006776283,0.0002548154,0.0000388146,0.9798355,0.0017393437,0.00026700378],"study_design_scores_gemma":[0.00046803465,0.000097582604,0.0041082595,0.0000067939663,0.0000013812404,0.0000047774734,0.000048806243,0.00080407417,0.000310237,0.9645543,0.029421804,0.00017394501],"about_ca_topic_score_codex":0.00040752644,"about_ca_topic_score_gemma":0.00009607999,"teacher_disagreement_score":0.6630339,"about_ca_system_score_codex":0.000519659,"about_ca_system_score_gemma":0.0003019695,"threshold_uncertainty_score":0.9988724},"labels":[],"label_agreement":null},{"id":"W2149148070","doi":"10.3138/cpp.36.4.429","title":"A New View of the Male/Female Pay Gap","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; University of Toronto","funders":"","keywords":"Earnings; Wage; Construct (python library); Economics; Labour economics; Gender pay gap; Series (stratigraphy); Work (physics); Accounting; Engineering; Computer science","score_opus":0.02959996117093964,"score_gpt":0.2309787220126935,"score_spread":0.20137876084175388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149148070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5780581,0.00037182902,0.00018887196,0.068564296,0.0015474646,0.00032169942,0.0014384674,0.00002333069,0.3494859],"genre_scores_gemma":[0.98459715,0.000038720795,0.00017967008,0.0027616613,0.00039202868,0.0000074745894,0.000008863818,0.000019962823,0.011994489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880826,0.000017971608,0.00042023754,0.00023861432,0.000036332953,0.0004785748],"domain_scores_gemma":[0.9983634,0.000028499722,0.00021591377,0.0007571939,0.000048786053,0.00058623904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056747976,0.00012099212,0.00025435397,0.00033571475,0.00011727629,0.00009862784,0.0006401948,0.00012984338,0.002370461],"category_scores_gemma":[0.00069900363,0.00009637455,0.00013289745,0.0007507947,0.0000825684,0.00015139527,0.00006359704,0.00027403337,0.00014040883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3563318e-7,0.000007159048,0.09625748,0.000011062196,0.000013392425,9.893862e-7,0.0000605309,2.2691283e-7,0.0000075665735,0.8928472,0.0026160467,0.008177957],"study_design_scores_gemma":[0.00016173597,0.000006328555,0.13257486,0.0000043174437,0.0000017149335,0.000007833928,0.0000059723397,0.00007186838,0.0000062709414,0.13333252,0.7336822,0.00014435826],"about_ca_topic_score_codex":0.470375,"about_ca_topic_score_gemma":0.49957332,"teacher_disagreement_score":0.75951463,"about_ca_system_score_codex":0.00015791644,"about_ca_system_score_gemma":0.0021204993,"threshold_uncertainty_score":0.99854153},"labels":[],"label_agreement":null},{"id":"W2149216557","doi":"10.7202/1006342ar","title":"The Earnings Gap between Black and White Workers in Canada: Evidence from the 2006 Census","year":2011,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Earnings; Census; Wage; White (mutation); Endowment; Demographic economics; Economics; Educational attainment; Occupational segregation; Labour economics; Productivity; Earnings growth; Frontier; Geography; Demography; Political science; Population; Sociology; Economic growth; Accounting","score_opus":0.08055335778966836,"score_gpt":0.2195272570508648,"score_spread":0.1389738992611964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149216557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886655,0.0012844511,0.00016212514,0.0044010594,0.00012002474,0.00014746422,0.0003838378,0.0000075338885,0.0048279883],"genre_scores_gemma":[0.99838144,0.0004892725,0.000087061475,0.00005666015,0.000057443216,0.000007787267,0.000015222883,0.0000100299,0.0008950667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990086,0.0000619573,0.00045141467,0.00022456206,0.000044630666,0.00020882355],"domain_scores_gemma":[0.9983426,0.0010345046,0.00024110611,0.00030536397,0.000025487063,0.000050946586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077104016,0.00010095752,0.0001581553,0.000036174795,0.0002571033,0.00005639038,0.00023874837,0.00011071442,0.00008865621],"category_scores_gemma":[0.0006039398,0.000075667485,0.000026103255,0.00033802039,0.00011449331,0.00011445289,0.00007551036,0.00043033157,0.000018981837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051296274,0.0000035222786,0.99001247,3.3697603e-7,0.000021313861,0.000001190232,0.00057666353,0.0000837639,5.6759582e-8,0.0064472123,0.0015161042,0.0013322249],"study_design_scores_gemma":[0.000109769724,0.0000053530684,0.97399753,0.00003259173,0.0000067810256,1.6568669e-7,0.0010565355,0.00074936345,9.234638e-7,0.010831804,0.013102796,0.00010640843],"about_ca_topic_score_codex":0.8215971,"about_ca_topic_score_gemma":0.527852,"teacher_disagreement_score":0.2937451,"about_ca_system_score_codex":0.00018796891,"about_ca_system_score_gemma":0.0002108283,"threshold_uncertainty_score":0.48076347},"labels":[],"label_agreement":null},{"id":"W2149523024","doi":"10.3386/w14122","title":"Wages, Unemployment and Inequality with Heterogeneous Firms and Workers","year":2008,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; London School of Economics and Political Science; Harvard University; National Science Foundation","keywords":"Unemployment; Inequality; Labour economics; Economics; Business; Economic growth; Mathematics","score_opus":0.2905327659800748,"score_gpt":0.4304140184831584,"score_spread":0.1398812525030836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149523024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73249483,0.011592647,0.000033247943,0.0012588355,0.00042643218,0.0010515775,0.0020673224,0.000029732906,0.25104535],"genre_scores_gemma":[0.98147,0.014405401,0.00026776813,0.000032112493,0.00026129276,0.00007711315,0.00032760302,0.00005839457,0.0031003088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968939,0.00010108583,0.0012044868,0.00092590204,0.00041940098,0.00045526965],"domain_scores_gemma":[0.99748194,0.0006025677,0.0006980799,0.00043063093,0.00059658487,0.00019017736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061407248,0.00030584564,0.00092368084,0.00067380763,0.00018202257,0.000108620225,0.00030019856,0.00038622145,0.00018114109],"category_scores_gemma":[0.00054411683,0.0003080884,0.000105105835,0.0001884752,0.0005237315,0.00014845567,0.0002779726,0.00061201834,0.000025325638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003029358,0.00025826826,0.4468076,0.0008123239,0.000982557,0.00004792364,0.00026831785,0.00054272986,0.0000026626126,0.538997,0.0084707895,0.0025069027],"study_design_scores_gemma":[0.0020981662,0.00060811575,0.062010217,0.0002874776,0.000023971996,0.00022660312,0.00006722843,0.002167493,0.00002135171,0.8430754,0.08820327,0.001210696],"about_ca_topic_score_codex":0.006740746,"about_ca_topic_score_gemma":0.000592903,"teacher_disagreement_score":0.3847974,"about_ca_system_score_codex":0.0011254492,"about_ca_system_score_gemma":0.00088291743,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W2149657862","doi":"10.1007/s001810200140","title":"Employer-supported training in Canada and its impact on mobility and wages","year":2003,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Receipt; Wage; Training (meteorology); Demographic economics; Psychology; Hazard; Wage growth; Affect (linguistics); Economics; Labour economics; Accounting; Geography","score_opus":0.04917882070245145,"score_gpt":0.27389053118768636,"score_spread":0.22471171048523492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149657862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939332,0.0003175245,0.000015412015,0.0005313387,0.00016966519,0.00016744487,0.0003354863,0.000010701373,0.0045192055],"genre_scores_gemma":[0.99874854,0.0003008455,0.00006327721,0.0007529622,0.000021052016,0.00001118489,0.000009633119,0.000021372804,0.00007115737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983744,0.00004334545,0.00065727637,0.00052933453,0.000019459862,0.00037620284],"domain_scores_gemma":[0.99912506,0.00023722925,0.00018085155,0.0002324846,0.000012939395,0.00021142345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008626767,0.00020837889,0.0005337847,0.00010279076,0.00005756122,0.000057950354,0.00009559084,0.00009668268,0.00017778749],"category_scores_gemma":[0.000293425,0.00021863688,0.000052675365,0.000116644456,0.00003461886,0.00014393288,0.000037352285,0.00021604073,0.00000858513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029936566,0.000050071994,0.896815,0.000017713235,0.00003279569,0.000009126328,0.0003510103,0.00044866593,0.0000010254403,0.10116217,0.000048297414,0.0010341859],"study_design_scores_gemma":[0.0008131042,0.00008105304,0.86585325,0.000007938475,0.0000034709226,0.000008899726,0.00016021711,0.009926055,0.00001629854,0.1184048,0.0042899665,0.00043494484],"about_ca_topic_score_codex":0.15255694,"about_ca_topic_score_gemma":0.42837003,"teacher_disagreement_score":0.27581307,"about_ca_system_score_codex":0.00062521594,"about_ca_system_score_gemma":0.00037421196,"threshold_uncertainty_score":0.89157534},"labels":[],"label_agreement":null},{"id":"W2149913037","doi":"10.1016/j.red.2009.12.004","title":"A General Equilibrium Analysis of Parental Leave Policies","year":2005,"lang":"en","type":"preprint","venue":"Review of Economic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Connaught Fund; Banco Bilbao Vizcaya Argentaria; University of Toronto; Fundación BBVA","keywords":"Human capital; General equilibrium theory; Wage; Economics; Labour economics; Welfare; Fertility; Parental leave; Demographic economics; Population; Work (physics); Market economy; Microeconomics; Medicine","score_opus":0.031162117139193483,"score_gpt":0.28781917187375533,"score_spread":0.25665705473456185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149913037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80711013,0.13799833,0.0010963527,0.000928781,0.0012233091,0.00086804794,0.027231133,0.000041438445,0.023502482],"genre_scores_gemma":[0.83347744,0.16100676,0.0014856384,0.00039189224,0.00024470285,0.000046051322,0.0026437966,0.000070065376,0.00063367403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99492836,0.00007098429,0.0036502245,0.000859243,0.00006858601,0.00042259754],"domain_scores_gemma":[0.9940045,0.00010618366,0.0041070115,0.0015587952,0.00009660384,0.0001268923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001687429,0.00050657993,0.0037525285,0.0008142501,0.000025089968,0.000047032303,0.0009942147,0.00035113317,0.00073524535],"category_scores_gemma":[0.00012912377,0.0006008279,0.001876687,0.0004197994,0.00018119214,0.00013555086,0.00092953007,0.00039160688,0.00004373343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020598056,0.00023578257,0.13635229,0.012177923,0.0052609947,0.0000017320825,0.00012403107,0.029620271,0.0000020513937,0.8133272,0.00031888337,0.0025582602],"study_design_scores_gemma":[0.00042487448,0.00006665872,0.033092633,0.0027655829,0.0018938162,0.0000028212833,0.000026123796,0.90582466,0.0000063893845,0.050646376,0.0039860616,0.0012640003],"about_ca_topic_score_codex":0.002056358,"about_ca_topic_score_gemma":0.00063360645,"teacher_disagreement_score":0.8762044,"about_ca_system_score_codex":0.000916136,"about_ca_system_score_gemma":0.00017850765,"threshold_uncertainty_score":0.99964434},"labels":[],"label_agreement":null},{"id":"W2150563098","doi":"10.7202/602349ar","title":"Dépendance temporelle, hétérogénéité et coûts de licenciement","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04002854199094696,"score_gpt":0.2560002819357873,"score_spread":0.2159717399448403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150563098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84115195,0.010827766,0.009376918,0.05404937,0.0026340734,0.00078733213,0.0015132071,0.00014089629,0.0795185],"genre_scores_gemma":[0.93602175,0.0084927585,0.006003408,0.02378061,0.00062975363,0.00004041277,0.00012413361,0.00007959253,0.024827588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952975,0.00027303695,0.0018734264,0.0011875273,0.000059738217,0.0013087809],"domain_scores_gemma":[0.9968268,0.00039441342,0.001068328,0.0011611398,0.00010563683,0.00044363114],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039352155,0.0006376688,0.0011434002,0.00025175058,0.00021607961,0.0004205987,0.0007809647,0.0006364678,0.001857388],"category_scores_gemma":[0.00048551356,0.0008583745,0.0004590134,0.0004016385,0.00017679464,0.00073848985,0.00016513298,0.00076558866,0.00074222736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007725838,0.0006511344,0.012739575,0.00011587866,0.00014370664,0.000048366517,0.0015396929,0.00030323118,0.00008533497,0.96775174,0.0034132737,0.01313082],"study_design_scores_gemma":[0.0013337942,0.00037731172,0.056362376,0.00019489923,0.000031597243,0.00003655039,0.00021461083,0.0058281417,0.0004042164,0.4770153,0.45701107,0.001190153],"about_ca_topic_score_codex":0.0020983645,"about_ca_topic_score_gemma":0.00068051857,"teacher_disagreement_score":0.49073642,"about_ca_system_score_codex":0.0010995561,"about_ca_system_score_gemma":0.00038355883,"threshold_uncertainty_score":0.9993867},"labels":[],"label_agreement":null},{"id":"W2151084919","doi":"10.1111/j.1468-2354.2006.00382.x","title":"GOVERNMENT‐MANDATED DISCRIMINATORY POLICIES: THEORY AND EVIDENCE*","year":2006,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public sector; Private sector; Wage; Government (linguistics); Economics; Labour economics; Public policy; Business; Public economics; Economic growth; Economy","score_opus":0.028957260342248676,"score_gpt":0.27479586669276446,"score_spread":0.24583860635051577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151084919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4323226,0.3122111,0.0016656993,0.012629279,0.0021998796,0.0007223307,0.0013860187,0.000085669315,0.23677744],"genre_scores_gemma":[0.92777175,0.06658793,0.00008815219,0.0019650895,0.00020156545,0.000036537192,0.00003262664,0.000018998197,0.003297362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861306,0.00004340346,0.0007731359,0.0003628122,0.000045936536,0.00016164649],"domain_scores_gemma":[0.9990597,0.0001868806,0.0004256237,0.0002602224,0.000019361894,0.000048219026],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00173567,0.00014699397,0.0003605757,0.000048290218,0.00004857836,0.00009413516,0.00030132267,0.000044573044,0.0013378346],"category_scores_gemma":[0.0002289909,0.0001524416,0.00010989327,0.000038773378,0.000070307295,0.0003659112,0.00011662334,0.000084119936,0.00031748522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011103202,0.000022176395,0.016806869,0.00018892059,0.000042828113,0.0000016769167,0.000015545398,0.0000057915113,0.000003095951,0.9791378,0.0018372803,0.0019269529],"study_design_scores_gemma":[0.00037282074,0.000024370185,0.061249588,0.0010808883,0.000024346675,0.00001504061,0.000018629948,0.0007299476,0.000010199789,0.5462517,0.3898061,0.00041638338],"about_ca_topic_score_codex":0.0005093998,"about_ca_topic_score_gemma":0.000052966283,"teacher_disagreement_score":0.49544916,"about_ca_system_score_codex":0.00034988867,"about_ca_system_score_gemma":0.000017820706,"threshold_uncertainty_score":0.9995751},"labels":[],"label_agreement":null},{"id":"W2152257701","doi":"","title":"Employment and Productivity: Disentangling Employment Structure and Qualification Effects","year":2012,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Business; Economics; Demographic economics; Economic growth","score_opus":0.021843368233466907,"score_gpt":0.25915091978387994,"score_spread":0.23730755155041303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152257701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911645,0.001523901,0.0007180349,0.003173873,0.0025237468,0.00040397237,0.00021132466,0.000044232693,0.0002364085],"genre_scores_gemma":[0.9973945,0.000083941224,0.00060763885,0.00005123923,0.0013769559,0.000042378302,0.00003550651,0.000024687804,0.00038314567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987007,0.000053896587,0.00034329313,0.0005400506,0.00010717033,0.0002549043],"domain_scores_gemma":[0.99919695,0.000083473824,0.00025504717,0.00028946475,0.000060862196,0.000114222064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008045575,0.00018393238,0.00025192392,0.00013376544,0.00011854527,0.000121028985,0.000119511555,0.00006655857,0.000020601974],"category_scores_gemma":[0.00041255335,0.000194263,0.000037171845,0.0001006273,0.000077716664,0.0007025605,0.0001392313,0.00015283104,0.000009732106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036985482,0.0002713234,0.9024051,0.000061291896,0.00011351136,0.000001030665,0.0007270952,0.0000072264556,0.0017790345,0.08461409,0.000040875424,0.009942475],"study_design_scores_gemma":[0.00048737033,0.000053563985,0.9377315,0.000027503027,0.000017971068,0.00001542689,0.000045475044,0.00042874488,0.005607401,0.045898404,0.009269583,0.00041703024],"about_ca_topic_score_codex":0.00016919713,"about_ca_topic_score_gemma":0.000012664728,"teacher_disagreement_score":0.038715687,"about_ca_system_score_codex":0.00015295786,"about_ca_system_score_gemma":0.000007088271,"threshold_uncertainty_score":0.79218155},"labels":[],"label_agreement":null},{"id":"W2152531006","doi":"","title":"Le retour à l'école","year":2000,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometric analysis; Political science; Humanities; Sociology; Economics; Philosophy","score_opus":0.015193353778774047,"score_gpt":0.20558348970100565,"score_spread":0.1903901359222316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152531006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7544316,0.021723075,0.0013985056,0.007011966,0.003748781,0.0014841522,0.026066372,0.00013607697,0.1839995],"genre_scores_gemma":[0.8707608,0.04630653,0.0015779891,0.00015553826,0.00037785296,0.000003227195,0.0026542747,0.00007836644,0.07808542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99478316,0.00026991862,0.001555961,0.0023987214,0.0002422075,0.00074999966],"domain_scores_gemma":[0.99329036,0.00027446827,0.0022730532,0.003545005,0.0001914307,0.00042567714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010800143,0.0007213744,0.001753125,0.00032141988,0.00091386505,0.00024916744,0.0022545126,0.000794202,0.00056338275],"category_scores_gemma":[0.000119423916,0.0010481427,0.00035353127,0.00026193043,0.00086201803,0.0010785895,0.002937184,0.00077722396,0.00008121467],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022128292,0.0035838985,0.22913718,0.002562419,0.006271586,0.0035041473,0.0010018146,0.003040469,0.000084591804,0.624376,0.08344016,0.040784918],"study_design_scores_gemma":[0.0035068302,0.00019643793,0.05850469,0.0006165273,0.0005335763,0.00010421041,0.00059221004,0.007884957,0.00001789072,0.02193605,0.9044909,0.0016157151],"about_ca_topic_score_codex":0.14220192,"about_ca_topic_score_gemma":0.01867077,"teacher_disagreement_score":0.82105076,"about_ca_system_score_codex":0.0005469726,"about_ca_system_score_gemma":0.00040485588,"threshold_uncertainty_score":0.9992359},"labels":[],"label_agreement":null},{"id":"W2152766977","doi":"10.1111/j.1475-4991.2010.00406.x","title":"LONG‐RUN INEQUALITY AND SHORT‐RUN INSTABILITY OF MEN'S AND WOMEN'S EARNINGS IN CANADA","year":2010,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Statistics Canada; Queen's University","funders":"","keywords":"Earnings; Economics; Variance (accounting); Unemployment; Inequality; Labour economics; Business cycle; Demographic economics; Short run; Monetary economics; Macroeconomics; Mathematics","score_opus":0.011696185277416478,"score_gpt":0.2369185854464866,"score_spread":0.22522240016907014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152766977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809079,0.017319534,0.0000120027125,0.0003612213,0.000065383574,0.00026450361,0.00018713766,0.0000032616535,0.00087905483],"genre_scores_gemma":[0.92444426,0.07515336,0.000109000335,0.00024775905,0.000011011642,0.000011546861,0.000006763159,0.00000806311,0.000008218445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998194,0.00007288784,0.0011146999,0.00032544028,0.00006123014,0.0002317741],"domain_scores_gemma":[0.9988514,0.00016209802,0.00046703356,0.00031448263,0.000053420303,0.00015155166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003473355,0.0001457596,0.0009319633,0.00008026199,0.000037289214,0.000010539707,0.000111582536,0.00006334827,0.000068086236],"category_scores_gemma":[0.00041399366,0.00013926724,0.000031694064,0.00022555576,0.00010940682,0.00011620462,0.00012306808,0.00025827918,2.9586838e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000967731,0.000031728763,0.9696879,0.007627022,0.000011632057,0.0000012145421,0.00016465978,1.1583756e-7,0.0000074595823,0.015186809,0.0000035749658,0.0072682095],"study_design_scores_gemma":[0.00026132909,0.000050987644,0.99244463,0.00049196207,0.000004202227,0.0000023663306,0.00006397858,0.00010407997,0.0000054802103,0.0051034144,0.0013171778,0.00015040406],"about_ca_topic_score_codex":0.32103577,"about_ca_topic_score_gemma":0.22253817,"teacher_disagreement_score":0.0984976,"about_ca_system_score_codex":0.00011199966,"about_ca_system_score_gemma":0.00021218913,"threshold_uncertainty_score":0.7916485},"labels":[],"label_agreement":null},{"id":"W2153297934","doi":"","title":"Le décrochage scolaire, la performance scolaire et le travail pendant les études : un modèle avec groupe hétérogène","year":2000,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; School dropout; Unemployment; Dropout (neural networks); Political science; Welfare economics; Sociology; Economics; Philosophy; Demographic economics; Computer science","score_opus":0.019092726391237068,"score_gpt":0.20472695094657745,"score_spread":0.18563422455534037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153297934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210865,0.011383925,0.0006775858,0.0015552484,0.00078992953,0.0009713043,0.0075760633,0.00009490633,0.055864573],"genre_scores_gemma":[0.93800306,0.048551835,0.0010727613,0.0000731337,0.000134481,0.000006728373,0.0015237695,0.00008083276,0.010553411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9943825,0.00046636583,0.0016122771,0.0023972767,0.00031530933,0.00082624913],"domain_scores_gemma":[0.99434674,0.00030486158,0.00206995,0.002677725,0.0001872789,0.00041344963],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0017724396,0.0009084368,0.0018227266,0.00036438523,0.0014585225,0.0003839967,0.002200626,0.0008010224,0.00023599394],"category_scores_gemma":[0.00007304401,0.001238784,0.00037153997,0.00029721175,0.0011468892,0.0015218925,0.002595282,0.0010275128,0.000028835968],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002959594,0.005969272,0.14764968,0.0047713215,0.005947461,0.0032500704,0.0053196675,0.002367911,0.00030131676,0.6597413,0.00596346,0.15575895],"study_design_scores_gemma":[0.009322912,0.0006004027,0.54198354,0.0020196172,0.00088991993,0.00040724786,0.0021549945,0.020445,0.00017050342,0.006073929,0.4124182,0.0035137106],"about_ca_topic_score_codex":0.080954775,"about_ca_topic_score_gemma":0.030165838,"teacher_disagreement_score":0.6536674,"about_ca_system_score_codex":0.00046794504,"about_ca_system_score_gemma":0.0007165054,"threshold_uncertainty_score":0.99984145},"labels":[],"label_agreement":null},{"id":"W2153301944","doi":"10.7202/028633ar","title":"Determinants of the Demand for Manpower Training : Some Empirical Results","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Unemployment; Short run; Labour economics; On demand; Economics; Operations management; Macroeconomics; Geography; Commerce","score_opus":0.08289995483477815,"score_gpt":0.28856407244029714,"score_spread":0.205664117605519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153301944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875146,0.0003053448,0.0011451254,0.0036353637,0.00022772179,0.00024902463,0.00064800354,0.000013250775,0.006261527],"genre_scores_gemma":[0.9955032,0.000029551105,0.00090522645,0.0001295135,0.00013729856,0.000015507785,0.000010673953,0.000012084818,0.0032569603],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988621,0.00002020918,0.00069930224,0.00020851888,0.000034707107,0.0001751865],"domain_scores_gemma":[0.9989942,0.00026529335,0.00036608375,0.00030107933,0.000036280828,0.000037090354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007486509,0.000089080204,0.00021539192,0.00007864211,0.0001620447,0.000021062582,0.00018529796,0.00018741694,0.00004263077],"category_scores_gemma":[0.0006945703,0.00007621106,0.00011575632,0.00020833917,0.00006447952,0.00014853846,0.00004464,0.00016192406,0.000016647],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082886196,0.00020846157,0.5256932,0.000008902816,0.000074667136,7.255606e-7,0.0032941403,0.0027811592,0.000008513099,0.44183365,0.005301629,0.02071208],"study_design_scores_gemma":[0.0026343802,0.000091166934,0.33499768,0.000077319,0.000033817338,0.0000047724657,0.00042626102,0.0436613,0.00027595204,0.16679277,0.45052296,0.00048160893],"about_ca_topic_score_codex":0.000017681363,"about_ca_topic_score_gemma":0.00002949238,"teacher_disagreement_score":0.44522133,"about_ca_system_score_codex":0.00005117007,"about_ca_system_score_gemma":0.000053510972,"threshold_uncertainty_score":0.31077966},"labels":[],"label_agreement":null},{"id":"W2153671321","doi":"","title":"EMPLOYMENT OUTCOMES AND RETURNS TO EARNINGS IN POST-APARTHEID SOUTH AFRICA","year":2012,"lang":"en","type":"preprint","venue":"Open University of Cape Town (University of Cape Town)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Demise; Earnings; Labour economics; Unemployment; Wage; Economics; Quality (philosophy); Collective bargaining; Economic growth; Political science","score_opus":0.0322922479206254,"score_gpt":0.2120519511341162,"score_spread":0.1797597032134908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153671321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414628,0.00028688324,0.0003799189,0.0020765923,0.00020855246,0.00080467033,0.0015086257,0.000024712203,0.05324725],"genre_scores_gemma":[0.9840782,0.00034384098,0.0024177004,0.000083778155,0.000015272315,2.5618704e-7,0.00008503009,0.000023534763,0.012952345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799424,0.000093933086,0.00044683347,0.0008319648,0.00015122065,0.00048182133],"domain_scores_gemma":[0.9975528,0.00009523684,0.0010206803,0.0008124923,0.0001989576,0.00031981448],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010312552,0.00037203816,0.0013938434,0.00059796526,0.00018691836,0.0000672822,0.0016476177,0.00040896653,0.003278293],"category_scores_gemma":[0.00008107796,0.00053213845,0.00029193342,0.00033304744,0.00022391512,0.0005274543,0.0038072444,0.0005290861,0.00005925798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019215858,0.001094009,0.7452512,0.0005848527,0.0014731667,0.00018045299,0.1652145,0.0005299524,0.00008327402,0.07688596,0.002178076,0.004603014],"study_design_scores_gemma":[0.0044548507,0.00037052418,0.8705324,0.00032873516,0.00026430725,0.0000031200968,0.03155897,0.0006443004,0.00000986426,0.0074452977,0.082558475,0.0018291671],"about_ca_topic_score_codex":0.019978523,"about_ca_topic_score_gemma":0.005842951,"teacher_disagreement_score":0.13365552,"about_ca_system_score_codex":0.00027302597,"about_ca_system_score_gemma":0.00016084319,"threshold_uncertainty_score":0.999713},"labels":[],"label_agreement":null},{"id":"W2153911402","doi":"10.1186/s40173-015-0035-8","title":"Wage returns to mid-career investments in job training through employer supported course enrollment: evidence for Canada","year":2015,"lang":"en","type":"article","venue":"IZA Journal of Labor Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Sugar Research and Development Corporation; Canadian Institutes of Health Research; Université du Québec en Outaouais; University of Ottawa","keywords":"Matching (statistics); Wage; Wage growth; Economics; Labour economics; Demographic economics; Propensity score matching","score_opus":0.19000076508610103,"score_gpt":0.34347853977832143,"score_spread":0.1534777746922204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153911402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819437,0.001482557,0.00033393415,0.01303915,0.0008298607,0.0003118382,0.00091380265,0.0000069987777,0.0011381132],"genre_scores_gemma":[0.9908156,0.00015428665,0.0016888189,0.006399126,0.00046119167,0.00001565713,0.000007981531,0.000037818543,0.0004195567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976595,0.000058944373,0.0012998966,0.00027224564,0.00016812055,0.00054128864],"domain_scores_gemma":[0.9979732,0.0001878105,0.0007562974,0.00030554197,0.00034638064,0.00043077485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019214916,0.00021191196,0.00064251234,0.00028805612,0.000050096576,0.00008759238,0.00047048688,0.00009892839,0.000044330285],"category_scores_gemma":[0.0023694267,0.00021555345,0.00011311775,0.0006993267,0.00003242713,0.0005068138,0.00006172995,0.00023357563,0.000005993541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064262224,0.00028743607,0.76581633,0.00009984765,0.0004160677,0.00027842997,0.020863168,0.0012799635,0.00013593155,0.1893621,0.019538563,0.0012795781],"study_design_scores_gemma":[0.009021667,0.0010104496,0.5708373,0.00061060226,0.00007691068,0.000084877174,0.0025299797,0.0006298123,0.0003287544,0.22861329,0.18489562,0.001360718],"about_ca_topic_score_codex":0.15826343,"about_ca_topic_score_gemma":0.15312095,"teacher_disagreement_score":0.19497897,"about_ca_system_score_codex":0.0009720323,"about_ca_system_score_gemma":0.0020491667,"threshold_uncertainty_score":0.87900144},"labels":[],"label_agreement":null},{"id":"W2153946961","doi":"10.1111/ijmr.12066","title":"Job Search: A Multidisciplinary Review and Research Agenda","year":2015,"lang":"en","type":"review","venue":"International Journal of Management Reviews","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Multidisciplinary approach; Conceptual model; Field (mathematics); Sociology; Conceptual framework; Management science; Psychology; Knowledge management; Social science; Epistemology; Computer science; Economics","score_opus":0.35909639610316874,"score_gpt":0.46017998302356733,"score_spread":0.1010835869203986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153946961","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000022098793,0.9802463,0.00018642949,0.0011343712,0.0008796974,0.0012028606,0.00016928304,0.0000057709535,0.016173068],"genre_scores_gemma":[0.0000041165267,0.9950205,0.0012484301,0.00023409503,0.00038412536,0.00005849833,0.00004223799,0.00004240821,0.002965563],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949163,0.00058018643,0.00330856,0.00046863037,0.00040588857,0.00032040055],"domain_scores_gemma":[0.99638397,0.0001487654,0.0021995055,0.00050551037,0.0005720156,0.00019025711],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.022854634,0.0003494123,0.0029059805,0.0010585084,0.00006495292,0.00019903152,0.0015927617,0.00013050895,0.0002908109],"category_scores_gemma":[0.000501851,0.00027974727,0.0007569357,0.00053478446,0.00009812904,0.0002909575,0.0010249794,0.0008642906,0.00042241727],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006543903,0.000093543495,0.000033524713,0.03854804,0.0007378444,0.00021715247,0.000048440103,3.284994e-7,2.2053401e-9,0.058409154,0.024175243,0.8777302],"study_design_scores_gemma":[0.0002275001,0.00005082534,0.000019405747,0.030443246,0.00026908153,0.0001072286,0.000009358606,0.000005554962,2.578939e-9,0.011398208,0.9572284,0.00024119181],"about_ca_topic_score_codex":0.000020039453,"about_ca_topic_score_gemma":0.0000028248905,"teacher_disagreement_score":0.93305314,"about_ca_system_score_codex":0.00052505056,"about_ca_system_score_gemma":0.000090515045,"threshold_uncertainty_score":0.9999655},"labels":[],"label_agreement":null},{"id":"W2154567017","doi":"10.1111/0008-4085.00158","title":"The role of credentials in the Canadian labour market","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Receipt; Graduation (instrument); Earnings; Labour economics; Educational attainment; Economics; Baccalaureate Degree; Demographic economics; Accounting; Higher education; Economic growth","score_opus":0.08807313233443553,"score_gpt":0.17379601535549224,"score_spread":0.08572288302105671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154567017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574928,0.0032361704,0.000004783452,0.0057489425,0.0010383044,0.00026770614,0.00086183206,0.0000019153624,0.031347536],"genre_scores_gemma":[0.9971777,0.00072018744,0.000065212844,0.00073786173,0.00030530881,0.000015565342,0.0000053099902,0.00003833839,0.0009344907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99683475,0.00012836592,0.0017638863,0.00031341868,0.0000040269615,0.0009555184],"domain_scores_gemma":[0.99658936,0.00035267745,0.0012135964,0.0006763743,0.00015277762,0.0010152119],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004089188,0.0002557133,0.000692471,0.0008286446,0.0004049947,0.00034685544,0.0014479395,0.00021829535,0.0011524906],"category_scores_gemma":[0.00062948454,0.00023987099,0.00028280987,0.00031838,0.00024709877,0.0003386046,0.000021027758,0.0004964811,0.000035117988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013303613,0.000011972385,0.05931542,0.000011888618,0.00007908998,0.000052015992,0.0012526131,0.000300887,6.257397e-7,0.93677825,0.0006344433,0.0015494754],"study_design_scores_gemma":[0.00044060414,0.00010154666,0.022498654,0.000031300955,0.00001124533,0.00012590669,0.0007831825,0.0032637718,0.0000066984744,0.7283629,0.24406087,0.0003132783],"about_ca_topic_score_codex":0.91057193,"about_ca_topic_score_gemma":0.99965733,"teacher_disagreement_score":0.24342643,"about_ca_system_score_codex":0.0018745901,"about_ca_system_score_gemma":0.0009393518,"threshold_uncertainty_score":0.99976057},"labels":[],"label_agreement":null},{"id":"W2154700296","doi":"10.1111/j.1468-2354.2007.00431.x","title":"PUBLIC ENTERPRISES AND LABOR MARKET PERFORMANCE*","year":2007,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Economics; Public sector; Labour economics; Control (management); Aggregate (composite); Macroeconomics; Economy","score_opus":0.03650680000497531,"score_gpt":0.2600400924357623,"score_spread":0.223533292430787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154700296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4997857,0.05035642,0.0005511623,0.009506729,0.002063396,0.00035956633,0.00047629938,0.000052938543,0.43684778],"genre_scores_gemma":[0.87065923,0.12394022,0.0003574535,0.002750326,0.00018859864,0.000016607592,0.000034391094,0.000017368702,0.0020358134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998534,0.000012308109,0.0008525655,0.00034468411,0.000031608568,0.00022478966],"domain_scores_gemma":[0.9991588,0.00008640073,0.00037151953,0.0002403289,0.00004190197,0.000101020836],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022003362,0.00013975156,0.00035191586,0.00014207386,0.000049141247,0.00009637114,0.0003164412,0.000049827402,0.004620522],"category_scores_gemma":[0.00015991555,0.00015085725,0.000090795744,0.000061725026,0.00004819427,0.0003983044,0.000110996414,0.00010133298,0.00041769736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014061067,0.000036237958,0.46746004,0.000284277,0.00009486791,0.0000034367363,0.000017730077,6.4455133e-7,5.634277e-7,0.5015044,0.002592431,0.02799129],"study_design_scores_gemma":[0.0002952064,0.000019904175,0.19857949,0.00021785896,0.0000054705897,0.000019118172,0.0000044611606,0.0010043936,0.0000026944197,0.023122083,0.7764863,0.00024302263],"about_ca_topic_score_codex":0.000050429808,"about_ca_topic_score_gemma":0.000031830663,"teacher_disagreement_score":0.77389383,"about_ca_system_score_codex":0.0001972842,"about_ca_system_score_gemma":0.000021650241,"threshold_uncertainty_score":0.9962894},"labels":[],"label_agreement":null},{"id":"W2154776903","doi":"10.1007/s00181-006-0092-3","title":"The impact of unionization on the incidence of and sources of payment for training in Canada","year":2006,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seniority; Payment; Nonunion; Training (meteorology); Variety (cybernetics); Human capital; Labour economics; Business; Control (management); Demographic economics; Capital (architecture); Incidence (geometry); Economics; Economic growth; Finance; Political science; Medicine; Management; Geography","score_opus":0.038339361987861774,"score_gpt":0.25817301955738414,"score_spread":0.21983365756952236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154776903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997876,0.00014105579,0.00021049545,0.00070604385,0.000039613406,0.00014230901,0.00024051078,8.309251e-7,0.0006431255],"genre_scores_gemma":[0.99975336,0.00010851117,0.000044905522,0.00004786427,0.000014666045,0.0000066135117,0.0000049442506,0.0000058569585,0.000013280444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991334,0.000017944254,0.0006076519,0.0001147523,0.000014694803,0.0001115256],"domain_scores_gemma":[0.99867785,0.0006739254,0.00045858556,0.00014816436,0.000024842448,0.000016637148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007488795,0.00006445271,0.00023864402,0.000036934693,0.00003713511,0.000010460992,0.00012422583,0.000028245748,0.0000067334845],"category_scores_gemma":[0.00016028424,0.0000445626,0.00005287726,0.00008492761,0.00006210717,0.00003389249,0.000024250641,0.00004501994,9.5430785e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035539273,0.00002229376,0.6425208,0.000011681525,0.000018815628,6.923558e-8,0.00023446309,0.019398276,0.000002255094,0.33666152,0.000041556086,0.0010527527],"study_design_scores_gemma":[0.0003222789,0.00009529794,0.690774,0.0000128339825,0.0000022931977,3.1998766e-7,0.00026177004,0.079497315,0.00008736692,0.22845258,0.00040337807,0.00009056567],"about_ca_topic_score_codex":0.3532419,"about_ca_topic_score_gemma":0.30218324,"teacher_disagreement_score":0.10820895,"about_ca_system_score_codex":0.00020182623,"about_ca_system_score_gemma":0.00021671611,"threshold_uncertainty_score":0.71055007},"labels":[],"label_agreement":null},{"id":"W2155025890","doi":"10.3386/w9607","title":"The Evolution of High Incomes in Canada, 1920-2000","year":2003,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Genealogy; History","score_opus":0.12594821219654717,"score_gpt":0.3766002970282071,"score_spread":0.2506520848316599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155025890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84923875,0.0038841178,0.00006359384,0.0020746868,0.0012129092,0.0006658651,0.001765629,0.000004379073,0.1410901],"genre_scores_gemma":[0.9981848,0.00057032035,0.000095982105,0.000017258033,0.00008701626,0.00006729004,0.000096401665,0.000020096475,0.00086082204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971332,0.00018673735,0.0015293972,0.0005064035,0.00024851953,0.00039576637],"domain_scores_gemma":[0.9971259,0.0011216198,0.00075992814,0.00053458,0.000393278,0.00006469652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071689896,0.00016870468,0.0006183117,0.0005800131,0.000097279306,0.00004373824,0.0008102483,0.00022303453,0.00015568448],"category_scores_gemma":[0.000922238,0.00017215898,0.0001205745,0.00026973785,0.00019317669,0.000082559665,0.00037586398,0.0007571752,0.000020693114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000034179655,0.000037366626,0.088687174,0.00006930643,0.00006515603,6.895453e-7,0.000029166846,0.0070723775,0.000001423742,0.9032886,0.00053792633,0.00017665302],"study_design_scores_gemma":[0.0003039231,0.000015132837,0.08695546,0.000028327355,0.0000012753774,4.3444686e-7,0.000056860874,0.0071762097,0.000009413003,0.9042784,0.0010328027,0.00014178918],"about_ca_topic_score_codex":0.9650529,"about_ca_topic_score_gemma":0.8882961,"teacher_disagreement_score":0.14894609,"about_ca_system_score_codex":0.01204111,"about_ca_system_score_gemma":0.0077887448,"threshold_uncertainty_score":0.9978362},"labels":[],"label_agreement":null},{"id":"W2155246957","doi":"10.7202/601337ar","title":"La détermination des salaires et le chômage naturel dans la perspective de prospection du marché du travail","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.013999566152665852,"score_gpt":0.23501377645062574,"score_spread":0.2210142102979599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155246957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8852075,0.0034874594,0.009504319,0.0233774,0.00056839245,0.00047348204,0.00054277544,0.00011659265,0.07672208],"genre_scores_gemma":[0.9853568,0.00646755,0.0018372078,0.0012605705,0.00045136246,0.000054583492,0.00006091492,0.000070711474,0.0044402727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970059,0.0006248805,0.00086737465,0.00084958033,0.00004387883,0.0006083975],"domain_scores_gemma":[0.998051,0.000551135,0.0005831337,0.0004656653,0.00016506422,0.00018400732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003569843,0.00044612866,0.0006543502,0.00026957731,0.0003017431,0.0005206985,0.00037858132,0.0007259169,0.00010147779],"category_scores_gemma":[0.00088728324,0.000581515,0.00032374304,0.000307173,0.0005150424,0.0010262562,0.00008231899,0.0007799651,0.000044283046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001258835,0.0007861832,0.035889737,0.00011204741,0.000107003536,0.000057883026,0.01164329,0.00015902489,0.00009978727,0.9374965,0.00031184952,0.013210838],"study_design_scores_gemma":[0.0009820443,0.0002109935,0.50749296,0.00009836708,0.00002306306,0.0001235539,0.0013401893,0.005489651,0.00015610627,0.46308327,0.02046622,0.00053355796],"about_ca_topic_score_codex":0.0071550454,"about_ca_topic_score_gemma":0.0031165804,"teacher_disagreement_score":0.4744132,"about_ca_system_score_codex":0.001905068,"about_ca_system_score_gemma":0.00028308906,"threshold_uncertainty_score":0.99966365},"labels":[],"label_agreement":null},{"id":"W2155700279","doi":"10.2139/ssrn.1103130","title":"Technological Progress, Organizational Change and the Size of the Human Resources Department","year":2008,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Organizational change; Technological change; Human resources; Business; Knowledge management; Regional science; Political science; Computer science; Management; Economics; Geography; Public relations; Artificial intelligence","score_opus":0.020296124244340828,"score_gpt":0.22049919019742087,"score_spread":0.20020306595308004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155700279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96729535,0.022514954,0.0002632412,0.008294928,0.00020727662,0.0005562237,0.00012071896,0.000021172984,0.00072615297],"genre_scores_gemma":[0.9754038,0.02389897,0.000051020594,0.0001222115,0.00022160087,0.000042945292,0.0000080039445,0.000022774491,0.00022867628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99798995,0.00011713411,0.00069693313,0.0003119498,0.000112537506,0.0007715172],"domain_scores_gemma":[0.9982913,0.00010228434,0.0010861472,0.0004046895,0.00008250937,0.000033062584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030690501,0.00020543569,0.0004649987,0.00006830404,0.0004024845,0.000079189296,0.0007465899,0.0002483167,0.000029042394],"category_scores_gemma":[0.00033102033,0.00012385553,0.00018595798,0.00019928804,0.00088466704,0.000043989166,0.0006603805,0.0022007278,0.000002145954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020139434,0.0000610134,0.090383396,0.000015531556,0.00017091184,9.205609e-7,0.00017586675,0.000004967396,5.895836e-7,0.9086146,0.00001196791,0.0005401393],"study_design_scores_gemma":[0.0006750497,0.00003976557,0.040921893,0.000026960506,0.000020745132,0.00007859425,0.000075371696,0.00010524772,0.0000033294382,0.95590377,0.0019926585,0.00015663709],"about_ca_topic_score_codex":0.00007754552,"about_ca_topic_score_gemma":0.000120792974,"teacher_disagreement_score":0.049461503,"about_ca_system_score_codex":0.00038929086,"about_ca_system_score_gemma":0.00025693313,"threshold_uncertainty_score":0.95611894},"labels":[],"label_agreement":null},{"id":"W2156514198","doi":"","title":"The \"Sheepskin Effects\" of Canadian Credentials §","year":2004,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Credential; Econometrics; Earnings; Pooling; Economics; Demographic economics; Survey data collection; Sample (material); Bachelor; Productivity; Labour economics; Statistics; Mathematics; Computer science; Political science; Accounting; Economic growth; Law","score_opus":0.018613229388571295,"score_gpt":0.21958061018241795,"score_spread":0.20096738079384666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156514198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57170904,0.0039711758,0.008598877,0.049096826,0.0043378477,0.0013485124,0.00048081204,0.00023901627,0.3602179],"genre_scores_gemma":[0.9977783,0.000473675,0.0009491957,0.00018675625,0.00022757988,0.000092956936,0.000045008088,0.000034984503,0.00021154189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766153,0.00011122235,0.0009235055,0.00048744568,0.0001751334,0.0006411565],"domain_scores_gemma":[0.99799365,0.0002638009,0.00051935756,0.0006314843,0.0001969309,0.00039480734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011825918,0.00026642525,0.0004483012,0.0006287466,0.0008020913,0.00027075017,0.00067239266,0.0003009156,0.000025297355],"category_scores_gemma":[0.0010310597,0.0002460124,0.0002345426,0.0009418058,0.000040713534,0.00025191033,0.000113634596,0.00033997948,0.000025570642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003081925,0.00013119957,0.0010388462,0.00005866766,0.00010582771,0.00004535404,0.00048380968,0.00008421607,0.00021162807,0.9973569,0.000117332354,0.00033541585],"study_design_scores_gemma":[0.0009898797,0.000050363087,0.018132402,0.00006330126,0.00002076743,0.00008638317,0.00007015579,0.00009766651,0.00073356205,0.06430914,0.9151063,0.00034005652],"about_ca_topic_score_codex":0.00083604554,"about_ca_topic_score_gemma":0.024362499,"teacher_disagreement_score":0.9330477,"about_ca_system_score_codex":0.0007061382,"about_ca_system_score_gemma":0.00054306776,"threshold_uncertainty_score":0.9999992},"labels":[],"label_agreement":null},{"id":"W2156755859","doi":"10.7202/1014744ar","title":"The Effects of a Training Levy on Training Characteristics and Outcomes: The Case of Quebec","year":2013,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Training (meteorology); Context (archaeology); Demographic economics; Government (linguistics); Wage; Business; Set (abstract data type); Labour economics; Psychology; Economics; Geography","score_opus":0.03824904846287737,"score_gpt":0.23473382524070188,"score_spread":0.1964847767778245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156755859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951001,0.0002466359,0.00027807688,0.0015011971,0.00016358113,0.0002560031,0.00007906196,0.000007067125,0.0023683154],"genre_scores_gemma":[0.99886674,0.000091121794,0.000056453253,0.000052108386,0.000024869414,0.000023518558,0.000004351185,0.000009710942,0.0008711231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991436,0.000044030465,0.00052178366,0.00012954138,0.000025866902,0.00013518248],"domain_scores_gemma":[0.99716854,0.0020909186,0.00040739606,0.00026133168,0.000039236835,0.000032589793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057699205,0.000093414485,0.00024703736,0.00006495179,0.00020434354,0.000047242516,0.00010879519,0.000110810586,0.00003058624],"category_scores_gemma":[0.0013920091,0.000061947605,0.000056988294,0.00017073176,0.00014930691,0.00007715109,0.000030738698,0.00022799616,0.0000064199435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000523194,0.000043525553,0.06636043,0.000013813553,0.00011439212,0.00000795842,0.007021932,0.000026020914,0.000010207583,0.8311264,0.00013057345,0.09513953],"study_design_scores_gemma":[0.0013335951,0.00023243754,0.85387146,0.00018773544,0.00006395179,0.0000409305,0.013294129,0.011473121,0.000048520407,0.10940836,0.009577201,0.0004685638],"about_ca_topic_score_codex":0.002217646,"about_ca_topic_score_gemma":0.00030184234,"teacher_disagreement_score":0.78751105,"about_ca_system_score_codex":0.000023702392,"about_ca_system_score_gemma":0.000037725367,"threshold_uncertainty_score":0.3352432},"labels":[],"label_agreement":null},{"id":"W2157079720","doi":"10.1111/j.1467-8268.2006.00140.x","title":"Human Resource Underutilization in an Era of Poverty Reduction: An Analysis of Unemployment and Underemployment in Ghana","year":2006,"lang":"en","type":"article","venue":"African Development Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Underemployment; Unemployment; Poverty reduction; Poverty; Economics; Resource (disambiguation); Development economics; Labour economics; Economic growth; Computer science","score_opus":0.038303953678533,"score_gpt":0.2686440384203484,"score_spread":0.2303400847418154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157079720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895246,0.0079919025,0.00022606795,0.00031062518,0.000017276687,0.0003210639,0.00002698916,0.000008413104,0.0015730454],"genre_scores_gemma":[0.9972199,0.0015278207,0.000892835,0.000104249026,0.0000062763456,0.000022073644,0.00015626106,0.000011034586,0.000059538623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788475,0.00009001165,0.001390799,0.00038586213,0.00007966424,0.00016891783],"domain_scores_gemma":[0.9990281,0.000016599657,0.00054806314,0.00031935167,0.000040245926,0.000047635436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013348815,0.00014042927,0.0007365406,0.00041293923,0.000032296113,0.0000151629165,0.00014106077,0.00004953837,0.00007846495],"category_scores_gemma":[0.000017616689,0.00014996434,0.00005606057,0.0014513072,0.000040884363,0.00014379955,0.000046603578,0.00008135536,5.6642597e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012505931,0.0007609292,0.8065548,0.0007510916,0.0001395024,0.0000021756987,0.0007451683,0.00053345715,0.000020142608,0.183838,0.00003266393,0.006609591],"study_design_scores_gemma":[0.0004208375,0.000081001686,0.98708653,0.00051368994,0.00006958209,5.47726e-7,0.00027169372,0.0009926563,0.000030968822,0.0077470546,0.0024710905,0.0003143669],"about_ca_topic_score_codex":0.0018915713,"about_ca_topic_score_gemma":0.003954173,"teacher_disagreement_score":0.18053174,"about_ca_system_score_codex":0.00025725566,"about_ca_system_score_gemma":0.00003894318,"threshold_uncertainty_score":0.6115368},"labels":[],"label_agreement":null},{"id":"W2158479028","doi":"","title":"Understanding the Outcomes of Older Job Losers","year":2010,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Job loss; Demographic economics; Labour economics; Survey data collection; Work (physics); Job satisfaction; Unemployment; Economics; Psychology; Social psychology; Economic growth","score_opus":0.040434254777206295,"score_gpt":0.23872600966620244,"score_spread":0.19829175488899614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158479028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9231044,0.00023702672,0.0025760466,0.0011612355,0.003291925,0.00027520146,0.00033630265,0.00005247775,0.06896537],"genre_scores_gemma":[0.9975824,0.00005474951,0.00038316628,0.00047048507,0.00013787554,0.000019459134,0.00000826273,0.00004043849,0.0013032072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978694,0.000040693856,0.0010503565,0.0005031511,0.00008038295,0.00045602644],"domain_scores_gemma":[0.9977517,0.00046117877,0.000697082,0.0008941789,0.00005464809,0.00014117075],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016564074,0.000285834,0.00068732747,0.0002460859,0.00025107604,0.000095959374,0.0005876281,0.00022214497,0.0024250231],"category_scores_gemma":[0.00035801972,0.00024975993,0.00033389975,0.00026021645,0.0005296752,0.00028397594,0.00012286264,0.00052341045,0.00023203138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048752786,0.000038864477,0.5860339,0.0000117127865,0.00009505216,0.0000018657579,0.00020792443,0.000004282265,0.000026280562,0.413174,0.00036595878,0.000035317098],"study_design_scores_gemma":[0.00080416235,0.00003063652,0.88098466,0.000012253964,0.000022460625,0.000011847117,0.0003274248,0.00052068604,0.000040596988,0.112134755,0.0046611708,0.00044932825],"about_ca_topic_score_codex":0.00025059367,"about_ca_topic_score_gemma":0.000605033,"teacher_disagreement_score":0.30103925,"about_ca_system_score_codex":0.00018812432,"about_ca_system_score_gemma":0.000088401706,"threshold_uncertainty_score":0.99999547},"labels":[],"label_agreement":null},{"id":"W2158504345","doi":"","title":"Minimum Wage Effects in the Canadian Labour Market (1981-2000)","year":2004,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Economics; Minimum wage; Wage","score_opus":0.007222243051503969,"score_gpt":0.150584069251868,"score_spread":0.14336182620036406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158504345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97082883,0.00017966965,0.0012456619,0.004921339,0.00020531187,0.0005804349,0.0018359526,0.00008578774,0.020116983],"genre_scores_gemma":[0.9793516,0.0001741632,0.003978802,0.00026605016,0.00003138849,3.5615948e-8,0.00011081528,0.000030623156,0.016056526],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9976529,0.00022453118,0.0003685189,0.000789485,0.00022043644,0.0007441521],"domain_scores_gemma":[0.9977634,0.00022990491,0.0006110054,0.0008901972,0.00009526072,0.00041023892],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007377144,0.0004033043,0.0008970114,0.0011115439,0.00067354547,0.000049292015,0.0021796422,0.00047941162,0.0013473451],"category_scores_gemma":[0.000023894054,0.0005661416,0.0004593665,0.0016956222,0.0007881692,0.0017925631,0.00043827665,0.00061227824,0.000086621054],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018144856,0.0017556568,0.17081594,0.0010219616,0.0009261611,0.0053087925,0.7185765,0.0010561976,0.00015132122,0.09465766,0.002211767,0.0017035435],"study_design_scores_gemma":[0.00737827,0.00035359905,0.16551624,0.000248555,0.00012865172,0.00001467915,0.74870086,0.0002795441,0.00005333533,0.03722369,0.038876183,0.0012263925],"about_ca_topic_score_codex":0.66833293,"about_ca_topic_score_gemma":0.65532815,"teacher_disagreement_score":0.05743397,"about_ca_system_score_codex":0.00077405525,"about_ca_system_score_gemma":0.0015877546,"threshold_uncertainty_score":0.999679},"labels":[],"label_agreement":null},{"id":"W2158768210","doi":"10.7202/039323ar","title":"La mesure des inégalités de long terme avec des panels courts : 1990-2000*","year":2010,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy; Economics","score_opus":0.03295852432281545,"score_gpt":0.2463962753786377,"score_spread":0.21343775105582224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158768210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96966696,0.003158248,0.004497604,0.002343624,0.0025065662,0.00048191054,0.0017994691,0.00012648792,0.015419106],"genre_scores_gemma":[0.97577596,0.0027116046,0.0050351815,0.0012627058,0.0009236927,0.0000911819,0.000097782904,0.00016898313,0.0139329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99490494,0.00050738687,0.0017953438,0.0011890644,0.000058870417,0.0015444084],"domain_scores_gemma":[0.99586874,0.0011773385,0.00088971725,0.0012839733,0.00016979715,0.0006104535],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062446836,0.0007652657,0.0012726773,0.0003221542,0.000437598,0.00078647275,0.00092552544,0.0014520641,0.0028952996],"category_scores_gemma":[0.0013602779,0.0009661477,0.00053766783,0.0003383799,0.0014452307,0.0010795196,0.00031678093,0.0016303958,0.00036175083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007354246,0.0004691168,0.38353887,0.0005664584,0.00031757704,0.00014981117,0.012116738,0.00007218674,0.00016281025,0.5428199,0.00014884112,0.05956415],"study_design_scores_gemma":[0.00090505625,0.0000946984,0.40871733,0.00017366983,0.0000544715,0.00019948107,0.00016953412,0.00211117,0.00037673858,0.4776251,0.10851683,0.0010558991],"about_ca_topic_score_codex":0.0066336347,"about_ca_topic_score_gemma":0.0060437894,"teacher_disagreement_score":0.10836799,"about_ca_system_score_codex":0.00094293983,"about_ca_system_score_gemma":0.00047836523,"threshold_uncertainty_score":0.9999813},"labels":[],"label_agreement":null},{"id":"W2159006836","doi":"10.1111/caje.12036","title":"The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Human Resources and Skills Development Canada","keywords":"Graduation (instrument); Wage; Demographic economics; Distribution (mathematics); Percentage point; Point (geometry); National Longitudinal Surveys; Economics; Labour economics; Demography; Sociology; Mathematics","score_opus":0.10767851444613191,"score_gpt":0.16660983686575126,"score_spread":0.05893132241961935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159006836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850504,0.0013463337,0.000059752656,0.0046308194,0.0014719228,0.00040795252,0.0014840228,0.0000035488813,0.0055452716],"genre_scores_gemma":[0.99782944,0.00057902973,0.00015649514,0.00074289355,0.0002586271,0.00005383292,0.00010276319,0.000049574694,0.00022732583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99635565,0.000078659665,0.0019252045,0.00048088506,0.0000046005816,0.0011550013],"domain_scores_gemma":[0.9963734,0.0002331693,0.0011226934,0.00052363914,0.0002908968,0.0014561889],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001641931,0.00034704103,0.000785619,0.00044228038,0.00031130848,0.00032924602,0.00090934196,0.00016877669,0.00075602136],"category_scores_gemma":[0.0004751832,0.00036348065,0.00021416208,0.00024092977,0.00021240478,0.0006309694,0.00004528808,0.00070923724,0.000032279877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000019888577,0.00001605178,0.22704972,0.000021253192,0.00013910282,0.000042207244,0.00025896038,0.0011277796,7.111947e-7,0.7686517,0.0011073302,0.0015652456],"study_design_scores_gemma":[0.0007706737,0.000070276634,0.36754388,0.000023603334,0.000010445811,0.0001233418,0.00084695505,0.006034513,0.000004343649,0.6022364,0.021726659,0.00060892815],"about_ca_topic_score_codex":0.99154943,"about_ca_topic_score_gemma":0.9998238,"teacher_disagreement_score":0.16641536,"about_ca_system_score_codex":0.008274009,"about_ca_system_score_gemma":0.0069485344,"threshold_uncertainty_score":0.99988174},"labels":[],"label_agreement":null},{"id":"W2159014390","doi":"10.2139/ssrn.2655344","title":"Blame the Parents? How Financial Incentives Affect Labor Supply and Job Quality for Young Adults","year":2015,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"Fonds De La Recherche Scientifique - FNRS","keywords":"Labour economics; Affect (linguistics); Unemployment; Quality (philosophy); Incentive; Margin (machine learning); Demographic economics; Economics; Business; Psychology","score_opus":0.02069100369439804,"score_gpt":0.2568689368108932,"score_spread":0.23617793311649515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159014390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96360207,0.020248963,0.0071998076,0.0038834882,0.0017409578,0.0008845564,0.002104573,0.000029966879,0.0003056296],"genre_scores_gemma":[0.97997576,0.017650185,0.00014550006,0.00014441548,0.0009705564,0.00010572413,0.00010180863,0.000057782865,0.00084825326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958073,0.00023795674,0.0009437036,0.00077403215,0.0001464735,0.0020905272],"domain_scores_gemma":[0.99726725,0.00022293812,0.0014542736,0.00057346566,0.00031881576,0.00016327293],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011165261,0.00046743007,0.00093323004,0.00017014454,0.00038872645,0.0005615436,0.0008111736,0.00041299826,0.0000106220805],"category_scores_gemma":[0.0015162393,0.00039652194,0.0003896866,0.00017252342,0.00015125569,0.00025072604,0.00045040098,0.0031166065,0.0000066086827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003825505,0.00009035842,0.25590736,0.00014258764,0.0003228858,0.000001820492,0.00071699516,0.000019031959,0.0000019454003,0.738004,0.00025841838,0.004152036],"study_design_scores_gemma":[0.001593432,0.00022240271,0.11527226,0.00007996766,0.00004249916,0.000025865002,0.0006848265,0.00060809543,0.000002133308,0.8775869,0.0033471906,0.00053444324],"about_ca_topic_score_codex":0.0010967227,"about_ca_topic_score_gemma":0.0063555255,"teacher_disagreement_score":0.14063509,"about_ca_system_score_codex":0.0013036819,"about_ca_system_score_gemma":0.0016872342,"threshold_uncertainty_score":0.99984866},"labels":[],"label_agreement":null},{"id":"W2159099639","doi":"10.1068/a42288","title":"Low-Income-Country Import Competition and the Structure of Earnings Inequality in Canada, 1996–2001","year":2010,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Economics; Competition (biology); Inequality; Wage; Demographic economics; Labour economics; Percentage point; Wage inequality; Economic inequality","score_opus":0.005429078633340916,"score_gpt":0.17165963760593103,"score_spread":0.16623055897259012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159099639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747276,0.00045111057,0.000061025017,0.0005268997,0.000090958114,0.00012267285,0.00017031381,0.0000028416464,0.0011014141],"genre_scores_gemma":[0.9993324,0.0002975778,0.00010778483,0.00014004498,0.00003573989,0.0000028788634,0.000024850493,0.0000067049004,0.000051978954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991684,0.00002620184,0.00036351633,0.00025037472,0.00002417096,0.00016733377],"domain_scores_gemma":[0.99936277,0.00015006097,0.00026713786,0.00015335387,0.0000029257105,0.00006378457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007007669,0.00012346811,0.00032719318,0.00004773727,0.000082175684,0.000033284898,0.00006404591,0.00007205799,0.000101568054],"category_scores_gemma":[0.000036350597,0.00010969366,0.000016900738,0.00003699582,0.00014476242,0.00010012101,0.000061786086,0.00026586177,5.2752836e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036275927,0.0000074609675,0.94180626,0.000037243302,0.0000143899615,0.0000024219644,0.0004410366,0.00008568366,0.00002056909,0.057443883,0.000008458551,0.00009630859],"study_design_scores_gemma":[0.00096527085,0.0000148946165,0.9741189,0.00001769727,0.0000048188626,0.0000052062937,0.00025950203,0.003773254,0.000020710359,0.016118914,0.0045328536,0.00016797282],"about_ca_topic_score_codex":0.1851485,"about_ca_topic_score_gemma":0.11020077,"teacher_disagreement_score":0.07494774,"about_ca_system_score_codex":0.000040039125,"about_ca_system_score_gemma":0.000026922888,"threshold_uncertainty_score":0.9060357},"labels":[],"label_agreement":null},{"id":"W2159180370","doi":"10.2139/ssrn.224213","title":"Unemployment Insurance and Subsequent Job Duration: Job Matching vs. Unobserved Heterogeneity","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Duration (music); Unemployment; Matching (statistics); Economics; Labour economics; Econometrics; Demographic economics; Statistics; Mathematics","score_opus":0.01917761259033418,"score_gpt":0.22856353770751534,"score_spread":0.20938592511718115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159180370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917735,0.0056672464,0.0016737471,0.0015846967,0.00021141341,0.00013906002,0.00005359568,0.000030200414,0.0014626995],"genre_scores_gemma":[0.9815962,0.016575933,0.00012842187,0.00031692281,0.0001808113,0.000008897651,0.000007661753,0.000029537172,0.0011556388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972796,0.00006995777,0.000841156,0.00037803513,0.00008477806,0.0013464978],"domain_scores_gemma":[0.99921876,0.00003129846,0.0003170601,0.00026519463,0.000041801617,0.00012587539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026640554,0.00021529857,0.00037542175,0.00009180803,0.00032069435,0.00019334945,0.0002525846,0.00009862013,0.00017279954],"category_scores_gemma":[0.000029755813,0.00022515406,0.0001320617,0.00018435573,0.000046110345,0.00037150033,0.000036283112,0.0008950325,0.000052300937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009375036,0.000058785758,0.41646516,0.000014489874,0.0001512427,0.000007288006,0.00014165384,0.00020669747,0.000032494012,0.5763966,0.000009001237,0.00642283],"study_design_scores_gemma":[0.00095096097,0.00016561014,0.2770577,0.000017802451,0.000008476408,0.00017092939,0.00005137207,0.0005161059,0.000020662175,0.7179012,0.0027936704,0.000345556],"about_ca_topic_score_codex":0.0006764701,"about_ca_topic_score_gemma":0.002384846,"teacher_disagreement_score":0.14150456,"about_ca_system_score_codex":0.00074712717,"about_ca_system_score_gemma":0.00019537997,"threshold_uncertainty_score":0.91815156},"labels":[],"label_agreement":null},{"id":"W2159338289","doi":"10.25071/1874-6322.22705","title":"Globalisation and Wage Inequality: A Comparison of the Manufacturing Sector in Canada and the United States from 1970 to 2001","year":2009,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Globalization; Wage inequality; Wage; Economics; Manufacturing sector; Immigration; Inequality; Production (economics); Labour economics; Technological change; Demographic economics; Development economics; Macroeconomics; Political science; Market economy","score_opus":0.019700201414819003,"score_gpt":0.232749735662055,"score_spread":0.213049534247236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159338289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946059,0.00022819948,0.001533251,0.0023891127,0.00012655408,0.00009634725,0.0010053371,0.0000010812433,0.000014197876],"genre_scores_gemma":[0.9995726,0.000102774175,0.00003176014,0.00020950567,0.00002550178,5.864278e-7,0.000053966276,0.000002158335,0.00000117165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892646,0.00008366301,0.00072811655,0.00008420393,0.00006840749,0.00010912522],"domain_scores_gemma":[0.9989983,0.00014593387,0.0006468588,0.000113114314,0.000048819777,0.000047015543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010454362,0.0000731444,0.00030488052,0.000051757328,0.000048594833,0.0000367045,0.00011968114,0.000027993363,0.000008259535],"category_scores_gemma":[0.00024045903,0.00004942525,0.00003341583,0.00020078533,0.000027969472,0.0000844695,0.00003414491,0.00013786272,1.270089e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020191666,0.000038095204,0.9817304,0.0000123049385,0.00002835723,0.0000016438928,0.00048764053,0.0019402668,0.000027832217,0.014631699,0.000080797836,0.0008190246],"study_design_scores_gemma":[0.00080452196,0.0000259745,0.9653697,0.000039315968,0.0000062444174,0.0000015489015,0.0001893095,0.0054184166,0.00016581122,0.027605165,0.00031209755,0.000061869156],"about_ca_topic_score_codex":0.6120113,"about_ca_topic_score_gemma":0.27057818,"teacher_disagreement_score":0.3414331,"about_ca_system_score_codex":0.00039324965,"about_ca_system_score_gemma":0.00004477579,"threshold_uncertainty_score":0.74273187},"labels":[],"label_agreement":null},{"id":"W2159778662","doi":"","title":"The Impact of Non-standard Employment on Women's Employment and Countermeasures","year":2015,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Labour economics; Competition (biology); Human capital; Quality (philosophy); Economics; Quality standard; Business; Economic growth; Political science","score_opus":0.08302868071602929,"score_gpt":0.36098274567713384,"score_spread":0.27795406496110453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159778662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956818,0.001983399,0.0000159093,0.0003010955,0.0003310891,0.00011315847,0.00006233072,0.0000028960956,0.0015083144],"genre_scores_gemma":[0.9987454,0.0010959508,0.000040263407,0.000044877565,0.000013184651,0.000018147124,2.1297342e-7,0.0000034048137,0.000038588703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894005,0.000029468203,0.00042706975,0.00024130642,0.00008145478,0.00028067088],"domain_scores_gemma":[0.99909437,0.00020994255,0.0002870212,0.00021121716,0.0001480105,0.000049463986],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0051131775,0.000092074246,0.00038856763,0.000094732124,0.00014820427,0.000006719854,0.0002695334,0.00003622074,0.0000025220138],"category_scores_gemma":[0.00073292234,0.00006244123,0.000040620987,0.00018019539,0.013380971,0.00006627449,0.00017624727,0.0000851379,0.0000013313341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026725943,0.00012716903,0.7638941,0.000025303547,0.00018053951,0.0000023040946,0.09443308,0.0003862541,0.00007312213,0.13935399,0.00038198978,0.000874875],"study_design_scores_gemma":[0.0013690605,0.0020367918,0.5332484,0.0000491255,0.0000031881164,0.0000011936881,0.042856634,0.00041582363,0.0000631977,0.41928348,0.00043506554,0.00023801242],"about_ca_topic_score_codex":0.00014004359,"about_ca_topic_score_gemma":0.00002178006,"teacher_disagreement_score":0.2799295,"about_ca_system_score_codex":0.00050991535,"about_ca_system_score_gemma":0.000094826566,"threshold_uncertainty_score":0.98930407},"labels":[],"label_agreement":null},{"id":"W2160075718","doi":"10.7202/800839ar","title":"Les attributs linguistiques et la détermination du revenu des hommes au Québec en 1971 : les groupes d’âge et d’éducation","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Earnings; Meaning (existential); Sociology; Welfare economics; Demographic economics; Humanities; Psychology; Economics; Art","score_opus":0.06283161394192917,"score_gpt":0.3100082745924789,"score_spread":0.24717666065054977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160075718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723157,0.00044506972,0.004477042,0.0054932693,0.00019400446,0.00023029935,0.00027860547,0.00011598834,0.016449979],"genre_scores_gemma":[0.9956656,0.0006875071,0.0013336433,0.0011242643,0.00030725406,0.000042524047,0.00017248928,0.00003654409,0.0006301499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979723,0.0003394494,0.0008235619,0.000515964,0.000028927618,0.0003197654],"domain_scores_gemma":[0.99812424,0.0007559322,0.0005099628,0.0003954848,0.00011140601,0.00010299522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002999806,0.000282656,0.00049467525,0.00020277109,0.0002218659,0.00022486855,0.00031450362,0.00028889635,0.00007533686],"category_scores_gemma":[0.0018204841,0.00032658424,0.00016611663,0.00013542859,0.00008625331,0.00047462917,0.00006623986,0.00029148793,0.000033693894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026298676,0.00020543099,0.15305541,0.000054989865,0.000036472444,0.0000044299145,0.011655148,0.000025564226,0.000029242789,0.7898118,0.000067275636,0.045027934],"study_design_scores_gemma":[0.00035483175,0.00010073729,0.6682707,0.00005899001,0.000010368537,0.000008292647,0.00026689243,0.0003723973,0.00013952833,0.2894903,0.04049423,0.00043273342],"about_ca_topic_score_codex":0.09641269,"about_ca_topic_score_gemma":0.047228534,"teacher_disagreement_score":0.5152153,"about_ca_system_score_codex":0.0007989201,"about_ca_system_score_gemma":0.00021909885,"threshold_uncertainty_score":0.99991864},"labels":[],"label_agreement":null},{"id":"W2160174805","doi":"10.7202/028393ar","title":"The Dimension of Canadian Younth Unemployment : A Theoretical Explanation","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Unemployment; Dimension (graph theory); Youth unemployment; Set (abstract data type); Economics; Demographic economics; Labour economics; Macroeconomics; Computer science; Mathematics","score_opus":0.02483289372191338,"score_gpt":0.21721161785603413,"score_spread":0.19237872413412074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160174805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8901614,0.00078818074,0.0007420813,0.020505153,0.00021105236,0.00021060984,0.00021164246,0.000017348577,0.08715251],"genre_scores_gemma":[0.99843216,0.00026042,0.00021919489,0.00007287057,0.000053502863,0.000009040096,0.000026780317,0.000008124677,0.00091788877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992057,0.000023885164,0.0004308409,0.00013507582,0.00004027926,0.00016421589],"domain_scores_gemma":[0.99932873,0.0001645245,0.0001571012,0.00023230122,0.00004489383,0.00007244231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575899,0.000068690395,0.00011090585,0.0002438252,0.00024102285,0.0000322221,0.00011931139,0.00012205595,0.00030440206],"category_scores_gemma":[0.0002397604,0.000058525264,0.00004261263,0.00044284877,0.000101824655,0.000080566155,0.000020670666,0.0001511769,0.00008359791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032369599,0.000017581393,0.016501037,2.869014e-7,0.000015047032,2.3097896e-7,0.00017029564,0.00040326602,0.0000018149174,0.9793799,0.0008994409,0.002607888],"study_design_scores_gemma":[0.0004633605,0.000046975943,0.023109846,0.000020499157,0.000013235348,0.000002155743,0.00038390115,0.028326739,0.00016078854,0.26304895,0.6841648,0.00025870302],"about_ca_topic_score_codex":0.0076454445,"about_ca_topic_score_gemma":0.008865707,"teacher_disagreement_score":0.71633095,"about_ca_system_score_codex":0.00014129725,"about_ca_system_score_gemma":0.000073208575,"threshold_uncertainty_score":0.99896276},"labels":[],"label_agreement":null},{"id":"W2160249393","doi":"10.1111/j.0008-4085.2006.00340.x","title":"Wage inequality and overeducation in a model with efficiency wages","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Wage inequality; Unemployment; Labour economics; Wage; Inequality; Efficiency wage; Macroeconomics; Mathematics","score_opus":0.08495825765854552,"score_gpt":0.17934010116154664,"score_spread":0.09438184350300112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160249393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353135,0.000528015,0.00055078004,0.0015353856,0.00029666896,0.00019472903,0.00042486226,0.000004223823,0.0029340012],"genre_scores_gemma":[0.9983646,0.00009653654,0.0008203415,0.00023424657,0.00016345407,0.000010747261,0.000019123521,0.000037766233,0.00025316444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771076,0.00003210486,0.0012448863,0.0004153788,0.0000019196227,0.0005949169],"domain_scores_gemma":[0.99802846,0.00008311176,0.0008536232,0.00033092563,0.00008935816,0.00061451696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014388823,0.00024427395,0.0006931465,0.00082321395,0.00010327729,0.00015691189,0.00030528565,0.00015506615,0.000059599584],"category_scores_gemma":[0.00013168,0.00028958698,0.00009391647,0.00019462366,0.00014298738,0.00050070893,0.000016955895,0.00029318326,0.000005099936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003272254,0.000025853078,0.16473906,0.000027014303,0.00002161423,0.00004390736,0.00047269245,0.02285916,0.0000025092388,0.8114213,0.000029299641,0.0003248952],"study_design_scores_gemma":[0.0010784904,0.0001759551,0.06744433,0.00006503543,0.000010743498,0.00014125946,0.00018646831,0.04338999,0.000011443711,0.8856309,0.001352607,0.0005127668],"about_ca_topic_score_codex":0.31397387,"about_ca_topic_score_gemma":0.9627283,"teacher_disagreement_score":0.6487544,"about_ca_system_score_codex":0.0014290075,"about_ca_system_score_gemma":0.00086661323,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W2160587794","doi":"10.1111/j.1467-937x.2004.00301.x","title":"Twenty Years of Rising Inequality in U.S. Lifetime Labour Income Values","year":2004,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inequality; Economic inequality; Sociology; History; Mathematics","score_opus":0.043813918559926376,"score_gpt":0.30613726834287913,"score_spread":0.26232334978295274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160587794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7921326,0.20496482,0.000020888308,0.0010543829,0.0002474392,0.00025467746,0.00017915544,0.0000073681344,0.0011386639],"genre_scores_gemma":[0.7737895,0.22568694,0.00018449435,0.00023738066,0.000041182422,0.0000132640735,0.0000026587304,0.000010959186,0.000033583652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997843,0.000080051184,0.0015820289,0.000261683,0.00003370953,0.00019949162],"domain_scores_gemma":[0.9981168,0.0002607282,0.001035364,0.0005175329,0.000042954514,0.000026621447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004163521,0.00014662201,0.0011756768,0.000102714184,0.00003661437,0.000008349743,0.0003479749,0.000042028296,0.00006141271],"category_scores_gemma":[0.0006439873,0.00012970757,0.00019583061,0.00019826385,0.00018482361,0.000110784546,0.00020757406,0.00011700088,0.000054313674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023895698,0.00013845864,0.15029722,0.0069537284,0.0004235659,0.000002340764,0.001436514,0.00047832498,0.0000035841845,0.83583826,0.00006305835,0.00434106],"study_design_scores_gemma":[0.0008848288,0.00006637348,0.33489308,0.0040462604,0.000033307813,0.0000016583318,0.0002149396,0.00004609457,0.00003887081,0.6570892,0.0023662832,0.00031909166],"about_ca_topic_score_codex":0.0009923852,"about_ca_topic_score_gemma":0.00009488801,"teacher_disagreement_score":0.18459587,"about_ca_system_score_codex":0.00023279214,"about_ca_system_score_gemma":0.00004009281,"threshold_uncertainty_score":0.5289321},"labels":[],"label_agreement":null},{"id":"W2160615331","doi":"10.1111/1468-2354.t01-1-00045","title":"The Distribution of Earnings in an Equilibrium Search Model with State‐Dependent Offers and Counteroffers*","year":2002,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage dispersion; Earnings; Productivity; Wage; Economics; Distribution (mathematics); Dispersion (optics); Ex-ante; Labour economics; Efficiency wage; Homogeneous; General equilibrium theory; Construct (python library); Microeconomics; Econometrics; Macroeconomics; Computer science; Finance","score_opus":0.037268805171644485,"score_gpt":0.2635831765045282,"score_spread":0.22631437133288373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160615331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98780495,0.005629974,0.0012565819,0.001967562,0.00012170899,0.00023109764,0.00043848366,0.0000062845625,0.0025433328],"genre_scores_gemma":[0.9686916,0.030602613,0.00003957425,0.0001582025,0.000016269469,0.000013947429,0.00005835493,0.0000084126905,0.0004110558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885446,0.000026497684,0.00065304455,0.00026004165,0.000047824833,0.00015811434],"domain_scores_gemma":[0.9993329,0.00007814011,0.00028476075,0.00020950352,0.00004742235,0.00004724841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015120356,0.00009942481,0.00027402653,0.000054073083,0.000028570885,0.00006338755,0.0002621335,0.000029658928,0.000104102364],"category_scores_gemma":[0.0000440623,0.000083088686,0.0000406227,0.000047139307,0.00008158728,0.0002756359,0.00006127426,0.00011879727,0.000016470427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020830538,0.00024308365,0.4265134,0.0007320199,0.00023849287,0.000009784069,0.00060032506,0.011395742,0.000018209934,0.53782165,0.00039915464,0.021819834],"study_design_scores_gemma":[0.001108277,0.00015607856,0.05086601,0.00050553144,0.000010044226,0.0000122661195,0.00004373719,0.91862285,0.000018824796,0.01690461,0.011371587,0.00038018948],"about_ca_topic_score_codex":0.00021923843,"about_ca_topic_score_gemma":0.00014567592,"teacher_disagreement_score":0.9072271,"about_ca_system_score_codex":0.00021827954,"about_ca_system_score_gemma":0.00001446051,"threshold_uncertainty_score":0.33882582},"labels":[],"label_agreement":null},{"id":"W2161224857","doi":"10.7202/602347ar","title":"La spécificité de la formation en milieu de travail : un survol des contributions théoriques et empiriques récentes","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.022652111345398875,"score_gpt":0.27378770806689207,"score_spread":0.2511355967214932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161224857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91214824,0.0096756155,0.051888417,0.007821106,0.0002445546,0.00044015978,0.0027411387,0.00015324005,0.014887542],"genre_scores_gemma":[0.96506864,0.024306225,0.0051781377,0.0026648352,0.00028518992,0.000059455262,0.00025094688,0.00005646821,0.0021300884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99504644,0.0019695908,0.001425792,0.0005976647,0.000040202427,0.0009202874],"domain_scores_gemma":[0.9960916,0.0022588146,0.00065634656,0.0005473474,0.00015260691,0.00029330867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008355751,0.0004944214,0.0008566939,0.0002534506,0.0002683955,0.0006155411,0.0004680836,0.00093624176,0.000299282],"category_scores_gemma":[0.0015526325,0.0006263066,0.00037669708,0.00026784942,0.00037275563,0.0012640926,0.000080430385,0.0007682556,0.000059515645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009400248,0.0006228712,0.032089766,0.00016896053,0.000144169,0.000026637805,0.013541648,0.0001842565,0.00014188734,0.9128487,0.00051733444,0.03961977],"study_design_scores_gemma":[0.000982823,0.00020907918,0.16560271,0.00023630426,0.00003589783,0.000087255146,0.00061123056,0.0065916036,0.0018250138,0.6980147,0.12507512,0.0007282895],"about_ca_topic_score_codex":0.0041296,"about_ca_topic_score_gemma":0.0017418872,"teacher_disagreement_score":0.21483402,"about_ca_system_score_codex":0.0016217188,"about_ca_system_score_gemma":0.00035224837,"threshold_uncertainty_score":0.9996188},"labels":[],"label_agreement":null},{"id":"W2161272200","doi":"","title":"Perspectives on Unemployment from a General Equilibrium Search Model","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Reservation wage; Economics; Labour economics; Welfare; Reservation; Quarter (Canadian coin); Wage; Full employment; Demographic economics; Macroeconomics; Geography","score_opus":0.06873979814226557,"score_gpt":0.31737768128761373,"score_spread":0.24863788314534818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161272200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8307514,0.0006797447,0.000095458774,0.0011475846,0.0005072795,0.0008389116,0.0022987514,0.00006536109,0.1636155],"genre_scores_gemma":[0.9732668,0.016221235,0.0018662047,0.00021298716,0.00066452933,0.00029864936,0.00042844602,0.00014709521,0.0068940767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937281,0.00026578826,0.0016251187,0.0026397156,0.00023441877,0.0015068534],"domain_scores_gemma":[0.9962168,0.00046944214,0.00043385732,0.0023353396,0.000159457,0.00038514214],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0038678413,0.00064991135,0.0013539646,0.0011134384,0.00016827993,0.00047231297,0.0014940483,0.0008227213,0.0004931935],"category_scores_gemma":[0.00042537018,0.00079971657,0.00046991446,0.00029182222,0.00036339374,0.00017610367,0.0020561044,0.0029362878,0.00007824088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005789211,0.0014799857,0.047770526,0.0001567728,0.00054854504,0.00012316722,0.0037542628,0.5844267,0.000049246806,0.3430877,0.000114944145,0.01790922],"study_design_scores_gemma":[0.001117732,0.00014780313,0.004579534,0.0001348419,0.0000064526857,0.0000017584279,0.00074554584,0.6596466,0.000023087443,0.32901028,0.0035369922,0.0010494143],"about_ca_topic_score_codex":0.0020639913,"about_ca_topic_score_gemma":0.00026011994,"teacher_disagreement_score":0.15672143,"about_ca_system_score_codex":0.0033045225,"about_ca_system_score_gemma":0.00046983725,"threshold_uncertainty_score":0.9994454},"labels":[],"label_agreement":null},{"id":"W2161370835","doi":"","title":"Earnings and Employment Probabilities of Men by Education and Birth Cohort, 1982-96: Evidence for the United States, Canada and Australia","year":2000,"lang":"en","type":"article","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Earnings; Ceteris paribus; Cohort; Economics; Wage; Labour economics; Demographic economics; Cohort effect; Demography; Medicine; Sociology","score_opus":0.015549943518037918,"score_gpt":0.19025463276777382,"score_spread":0.1747046892497359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161370835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914583,0.0009896673,0.00016071329,0.00075866614,0.00020537074,0.00045380308,0.00089229515,0.00002771719,0.005053457],"genre_scores_gemma":[0.9493113,0.0029790648,0.0001270272,0.00013464005,0.000038924565,0.0000015999152,0.00014554661,0.00001241363,0.047249448],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988292,0.000075301796,0.0002818378,0.00048641654,0.00010127846,0.00022596783],"domain_scores_gemma":[0.9989817,0.00027359882,0.0002465983,0.00023186313,0.00008562973,0.0001806123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018280315,0.00020286754,0.0002898068,0.00024050605,0.0006015155,0.00007959461,0.00026499317,0.00010478126,0.000062715764],"category_scores_gemma":[0.000032030162,0.00022459503,0.000059079463,0.0003826873,0.0005487122,0.00085747114,0.00013631418,0.00015251909,3.863725e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044255986,0.00009055353,0.7361018,0.00026689735,0.00027220594,0.000035976376,0.00054985523,0.0011625111,0.00007252405,0.25489053,0.005471164,0.0006433824],"study_design_scores_gemma":[0.0009449204,0.00013475001,0.14138609,0.000120678334,0.000108891516,0.000019799278,0.0013991417,0.0016432288,0.00016449594,0.0008853969,0.8527513,0.00044128293],"about_ca_topic_score_codex":0.3260519,"about_ca_topic_score_gemma":0.0062670927,"teacher_disagreement_score":0.84728014,"about_ca_system_score_codex":0.0003703733,"about_ca_system_score_gemma":0.00052398944,"threshold_uncertainty_score":0.9158719},"labels":[],"label_agreement":null},{"id":"W2161375279","doi":"10.1093/oxfordhb/9780199764921.013.003","title":"Goal Setting and Control Theory: Implications for Job Search","year":2014,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Seekers; Control (management); Checklist; Search theory; Job analysis; Psychology; Behavioural sciences; Empirical research; Management science; Computer science; Social psychology; Cognitive psychology; Job satisfaction; Political science; Artificial intelligence; Economics; Mathematics; Microeconomics","score_opus":0.023122543115743962,"score_gpt":0.2141800523711616,"score_spread":0.19105750925541765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161375279","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00088665297,0.00017360023,0.059682656,0.00019653192,0.00012427897,0.00077947753,0.0055019413,0.00005515938,0.9325997],"genre_scores_gemma":[0.026732046,0.00013868391,0.00054658606,0.00019172288,0.00017458244,0.000008939651,0.00012293232,0.00005306213,0.9720314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998712,0.000052974847,0.0003136067,0.00055821287,0.00003143314,0.00033176385],"domain_scores_gemma":[0.9985011,0.00045158056,0.00034061348,0.00047757343,0.0001007888,0.00012830093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001026253,0.00023995113,0.0005294869,0.00016485248,0.0003097593,0.00009421295,0.0003980831,0.00032736163,0.000010876233],"category_scores_gemma":[0.000051445502,0.00030750112,0.00018086683,0.000013475779,0.00014503885,0.00007485151,0.00018797992,0.00028334992,9.820812e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083031555,0.00000779081,0.0008254279,0.00013110328,0.00014560057,0.0000011615654,0.000078590034,0.00000513258,0.00000149918,0.9951602,0.0010670852,0.002493371],"study_design_scores_gemma":[0.000966252,0.00004138675,0.0010915943,0.000023709446,0.00005085801,0.0000012846652,0.000009149863,0.00069414004,6.173355e-7,0.19087477,0.8059487,0.00029757927],"about_ca_topic_score_codex":0.000043379066,"about_ca_topic_score_gemma":0.000020424115,"teacher_disagreement_score":0.8048816,"about_ca_system_score_codex":0.00020211961,"about_ca_system_score_gemma":0.00007933421,"threshold_uncertainty_score":0.9999377},"labels":[],"label_agreement":null},{"id":"W2161463918","doi":"10.1016/s0147-9121(04)23010-2","title":"EARNINGS DISPERSION, RISK AVERSION AND EDUCATION","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Economics; Risk aversion (psychology); Counterfactual thinking; Dispersion (optics); Wage; Degree (music); Econometrics; Demographic economics; Labour economics; Financial economics; Expected utility hypothesis; Psychology; Social psychology","score_opus":0.042161075630577416,"score_gpt":0.2834177314579153,"score_spread":0.2412566558273379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161463918","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47233015,0.0049394825,0.00001610632,0.0015508054,0.0006836135,0.0006926575,0.0015440866,0.00003098878,0.51821214],"genre_scores_gemma":[0.660713,0.12861696,0.00072972727,0.00028421628,0.00061860215,0.000059442227,0.00037630298,0.0002287149,0.20837304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743885,0.000049164613,0.0009139367,0.0009910555,0.000073140276,0.0005338335],"domain_scores_gemma":[0.9981478,0.0002434339,0.00056477316,0.00065886235,0.0001463132,0.00023881908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033525585,0.00032210082,0.0006629441,0.0010553488,0.00021584316,0.00020119092,0.00039643794,0.0005630098,0.0008157162],"category_scores_gemma":[0.00025296063,0.00040702784,0.000118749944,0.00013339156,0.00027230746,0.00029058027,0.00033592345,0.0013791997,0.00058628735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003707345,0.00005488512,0.020990308,0.00010422377,0.000036290265,0.0000045241804,0.00016257266,0.000066929446,3.3367917e-7,0.9720196,0.00017864452,0.00634458],"study_design_scores_gemma":[0.00041783112,0.00006141207,0.0074171023,0.00014809222,0.000004294991,0.0000018130191,0.000038047663,0.00030073305,9.2445026e-7,0.7589714,0.23227704,0.00036134827],"about_ca_topic_score_codex":0.0017830459,"about_ca_topic_score_gemma":0.00033064463,"teacher_disagreement_score":0.30983907,"about_ca_system_score_codex":0.0014807765,"about_ca_system_score_gemma":0.00046555971,"threshold_uncertainty_score":0.9998382},"labels":[],"label_agreement":null},{"id":"W2161639893","doi":"","title":"The Gender Pay Gap: A Cross-Country Analysis","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gender pay gap; Wage; Wife; Economics; Demographic economics; Affect (linguistics); Gender gap; Labour economics; Survey data collection; Political science; Sociology","score_opus":0.023167563889045277,"score_gpt":0.24563792352905192,"score_spread":0.22247035964000664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161639893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56999016,0.0010004063,0.017623233,0.0006382873,0.00041480153,0.00011674853,0.00029533642,0.0000672784,0.40985376],"genre_scores_gemma":[0.9837596,0.00009722219,0.00019463526,0.00030995588,0.00013036508,0.000011760856,0.00003909136,0.000012276515,0.015445139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99873656,0.00001393013,0.0005832433,0.00031720055,0.000044513672,0.00030452426],"domain_scores_gemma":[0.99909955,0.00010692647,0.00020602056,0.00050118426,0.00004718001,0.000039127004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011198809,0.00011736606,0.00025356872,0.00011016098,0.00026360565,0.00038364402,0.000256894,0.000075571035,0.00064193894],"category_scores_gemma":[0.000057288846,0.00007561175,0.00020525273,0.0007378906,0.000076694836,0.000121941586,0.00005518318,0.000108232925,0.0001841232],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000353389,0.000019864998,0.42247346,0.0000019918893,0.00010836927,0.0000010302442,0.0000076071024,0.000195148,7.3445204e-7,0.5768081,0.00030362152,0.000076522345],"study_design_scores_gemma":[0.00014281477,0.0000038135584,0.557402,2.4838204e-7,0.000019027428,3.709861e-7,0.000008474625,0.007941699,0.0000028391448,0.37354928,0.060788795,0.00014059836],"about_ca_topic_score_codex":0.002956348,"about_ca_topic_score_gemma":0.0012262735,"teacher_disagreement_score":0.41376942,"about_ca_system_score_codex":0.00006266066,"about_ca_system_score_gemma":0.000011908113,"threshold_uncertainty_score":0.7028781},"labels":[],"label_agreement":null},{"id":"W2162547482","doi":"10.1177/0020715205060048","title":"Education and Youth Integration into European Labour Markets","year":2005,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market integration; Work (physics); Labour economics; School-to-work transition; Social integration; Business; Economics; Demographic economics; Sociology; Economic growth; Vocational education","score_opus":0.03725099148062987,"score_gpt":0.30793904721297216,"score_spread":0.2706880557323423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162547482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699544,0.001608861,0.0082742395,0.0028565526,0.0010783377,0.00004310568,0.0000521321,0.000005664358,0.01612674],"genre_scores_gemma":[0.99558556,0.00022798183,0.0024069722,0.00074193685,0.0007066812,0.0000010325645,0.000024453373,0.00000704523,0.00029833236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989558,0.00013970707,0.0006371771,0.00013173843,0.000049198985,0.00008639394],"domain_scores_gemma":[0.9987153,0.000077203884,0.00071315625,0.000069427726,0.00037196727,0.000052967403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042566,0.000092833885,0.00025234898,0.00018874506,0.00004260795,0.00004961678,0.00024257407,0.000048949027,0.00013446125],"category_scores_gemma":[0.00012096276,0.00008973987,0.00007174205,0.000041628642,0.00011682056,0.00029099075,0.00004720908,0.00019897807,0.000043987628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101487334,0.00019234655,0.019064626,0.0000027000146,0.00017197967,0.0000021907563,0.02220953,0.000035703408,0.00009834121,0.94422174,0.00037283637,0.013526509],"study_design_scores_gemma":[0.0012161769,0.0001684782,0.3391416,0.000044113312,0.000013362776,0.00005659538,0.0039691804,0.0009498288,0.00008783385,0.6182454,0.035837203,0.00027021367],"about_ca_topic_score_codex":0.00004052312,"about_ca_topic_score_gemma":0.00001723396,"teacher_disagreement_score":0.32597634,"about_ca_system_score_codex":0.00014388084,"about_ca_system_score_gemma":0.00004399118,"threshold_uncertainty_score":0.3659486},"labels":[],"label_agreement":null},{"id":"W2162672782","doi":"","title":"What Has Happened to Middle-Class Earnings? Distributional Shifts in Earnings in Canada, 1970-2005*","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Microdata (statistics); Middle class; Demographic economics; Percentile; Earnings per share; Labour economics; Census; Economics; Demography; Population; Accounting; Sociology; Statistics; Mathematics","score_opus":0.044934188059276445,"score_gpt":0.26555723938218334,"score_spread":0.22062305132290688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162672782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792063,0.00032480364,0.00003385857,0.0048149545,0.0013351867,0.001017992,0.00088683836,0.0000213399,0.012358694],"genre_scores_gemma":[0.99320555,0.0036073285,0.00020953814,0.00043581662,0.00016985784,0.00037300814,0.0005054736,0.00010055025,0.0013928674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929309,0.00038806422,0.0024035897,0.0020988246,0.000248484,0.0019301679],"domain_scores_gemma":[0.9963881,0.000890608,0.00073845516,0.001349827,0.0001151386,0.0005179109],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008012073,0.00060292234,0.0015885702,0.0014089956,0.00018094979,0.00073509436,0.0014625378,0.00066667097,0.0003832093],"category_scores_gemma":[0.0021191493,0.00081188197,0.00022243346,0.0005194609,0.00022325874,0.0003780487,0.0017089003,0.0032307704,0.00007880844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030171973,0.00028159854,0.9016381,0.00034002177,0.0001000126,0.00014100886,0.000877893,0.060653117,0.000006507091,0.026220592,0.00017017445,0.0092692515],"study_design_scores_gemma":[0.0016986598,0.00007992921,0.79200006,0.00087728095,0.0000033525475,0.0000032702296,0.00065154803,0.05128317,0.000008302864,0.02604869,0.12586284,0.0014829368],"about_ca_topic_score_codex":0.48546925,"about_ca_topic_score_gemma":0.9141745,"teacher_disagreement_score":0.42870522,"about_ca_system_score_codex":0.010965185,"about_ca_system_score_gemma":0.0028765723,"threshold_uncertainty_score":0.9994332},"labels":[],"label_agreement":null},{"id":"W2163195397","doi":"10.3386/w10283","title":"Equilibrium Policy Experiments and the Evaluation of Social Programs","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Public economics; Computer science","score_opus":0.5006539350590478,"score_gpt":0.5369977645717319,"score_spread":0.03634382951268411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163195397","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12052807,0.004214263,0.0000070233186,0.0025928537,0.0004895818,0.0016860456,0.00067260314,0.0000094033985,0.86980015],"genre_scores_gemma":[0.99658245,0.00062649103,0.000047889433,0.000013941257,0.0006976139,0.00021257193,0.00035535204,0.0000331785,0.0014305359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99664444,0.00024785666,0.0014121312,0.0005062688,0.00085498736,0.00033434655],"domain_scores_gemma":[0.99622005,0.00034976847,0.0011284286,0.00030910064,0.0019366016,0.00005605322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028726565,0.00018687005,0.0007652766,0.0007277062,0.00010324467,0.00008697679,0.0004597785,0.00033495942,0.00025906492],"category_scores_gemma":[0.0022732648,0.00017319672,0.00023052238,0.00028225456,0.00079104764,0.00014607138,0.00026874073,0.00040499776,0.000023115079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081979066,0.00010093771,0.0009108528,0.0001455181,0.00023073344,1.5638358e-7,0.00032706742,0.000078977406,0.0000050712215,0.99585944,0.00047119168,0.0017880999],"study_design_scores_gemma":[0.002069588,0.00004904961,0.0028690726,0.00003999884,0.000014623465,0.000002434125,0.00005570251,0.0017559007,0.00002128375,0.9896964,0.0032704498,0.00015553342],"about_ca_topic_score_codex":0.008017272,"about_ca_topic_score_gemma":0.00010286237,"teacher_disagreement_score":0.87605435,"about_ca_system_score_codex":0.002685044,"about_ca_system_score_gemma":0.0039990013,"threshold_uncertainty_score":0.99858844},"labels":[],"label_agreement":null},{"id":"W2163377078","doi":"10.7202/602210ar","title":"Survol des contributions théoriques et empiriques liées au capital humain","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Philosophy; Humanities; Political science","score_opus":0.0390836336621883,"score_gpt":0.2784237600809409,"score_spread":0.23934012641875257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163377078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91142434,0.010640864,0.0075180954,0.031945612,0.0017546196,0.0006567616,0.00641832,0.00020019112,0.029441198],"genre_scores_gemma":[0.9700798,0.008601606,0.0018635878,0.0049064765,0.00093231833,0.000059580943,0.00039977688,0.00007756136,0.013079322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949845,0.0005425816,0.001953899,0.0011159107,0.000053401414,0.0013497018],"domain_scores_gemma":[0.9965426,0.0008269356,0.00091729214,0.00097643747,0.00030719425,0.0004295417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004090429,0.00071825885,0.0013859892,0.00033520802,0.0004897685,0.0006742984,0.00065072504,0.00080659613,0.000871732],"category_scores_gemma":[0.0013670363,0.0009120111,0.0005928867,0.00036637607,0.0005495058,0.0014713362,0.0001594608,0.0007695749,0.00032941377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006635305,0.00060853554,0.042987075,0.000100670375,0.00020803262,0.000026580248,0.00577814,0.00006922623,0.00003143251,0.9418358,0.0010352766,0.007252834],"study_design_scores_gemma":[0.00083754706,0.00042138304,0.11014324,0.00017142143,0.000030572413,0.000021517259,0.00029540143,0.00066633837,0.00033051913,0.75667846,0.12939252,0.001011068],"about_ca_topic_score_codex":0.010810661,"about_ca_topic_score_gemma":0.011898623,"teacher_disagreement_score":0.18515736,"about_ca_system_score_codex":0.0018761914,"about_ca_system_score_gemma":0.0004961218,"threshold_uncertainty_score":0.999333},"labels":[],"label_agreement":null},{"id":"W2166915386","doi":"10.1111/j.1467-9442.2007.00518.x","title":"The Macroeconomic Consequences of Reciprocity in Labor Relations*","year":2007,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Reciprocity (cultural anthropology); Wage; Efficiency wage; Labour economics; Microeconomics; Differential (mechanical device); Rigidity (electromagnetism); Perspective (graphical)","score_opus":0.022819998617478493,"score_gpt":0.23953322846160108,"score_spread":0.21671322984412258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166915386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98916334,0.0016299951,0.0003763531,0.0011183129,0.00083150726,0.000111100126,0.000119521406,0.0000028946017,0.0066469642],"genre_scores_gemma":[0.997334,0.0013942758,0.00083301374,0.00008650533,0.00010446969,0.0000014027044,0.0000020855405,0.000014693628,0.00022957545],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973732,0.00003371644,0.002091829,0.00017860209,0.000021458385,0.00030116],"domain_scores_gemma":[0.9970622,0.0004178448,0.00206097,0.00025939537,0.0000978709,0.00010173433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055069495,0.00013045303,0.0005038031,0.000297461,0.00010453166,0.00006186403,0.0004370191,0.00010417753,0.000086567314],"category_scores_gemma":[0.00034540283,0.00011984963,0.00017367,0.0002172473,0.0002763592,0.00031794474,0.000039685816,0.0002877532,0.00001967833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012451145,0.000033207656,0.5068272,0.000007871369,0.00004448561,0.0000059005556,0.00022262166,0.00024078229,0.000013599795,0.49078265,0.000026778087,0.0016704274],"study_design_scores_gemma":[0.0009574953,0.00012844856,0.27988118,0.00004698579,0.000007167679,0.00003548164,0.00047363382,0.00022252984,0.00025601347,0.7123383,0.0054520876,0.00020068513],"about_ca_topic_score_codex":0.00016336152,"about_ca_topic_score_gemma":0.0006270123,"teacher_disagreement_score":0.22694598,"about_ca_system_score_codex":0.0003687057,"about_ca_system_score_gemma":0.00010266311,"threshold_uncertainty_score":0.48873264},"labels":[],"label_agreement":null},{"id":"W2167471235","doi":"10.7202/1005664ar","title":"La géométrie variable de la haute qualification. Pour une approche contextualisée1","year":2011,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Philosophy; Sociology","score_opus":0.14501279051047886,"score_gpt":0.3180770906419714,"score_spread":0.17306430013149257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167471235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50365114,0.0377793,0.16113198,0.009678493,0.0009813533,0.00075262185,0.0012376517,0.0004352424,0.28435224],"genre_scores_gemma":[0.83024204,0.030612456,0.12751527,0.001060459,0.00030772854,0.00014783611,0.000092846996,0.00014449476,0.009876888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949799,0.0020908793,0.0012078739,0.00083222677,0.000091607675,0.00079748675],"domain_scores_gemma":[0.99539703,0.0025151477,0.0008157642,0.00079233357,0.00022779198,0.0002519378],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014194131,0.00047711894,0.0008577882,0.00043504516,0.00021365615,0.00026410024,0.00068651955,0.0018631633,0.00043430168],"category_scores_gemma":[0.0016235713,0.0006103693,0.00054050056,0.0015073629,0.00096689095,0.0004479007,0.00013334274,0.0013234641,0.000107249245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035303732,0.00072857697,0.12509887,0.00026604216,0.0004634538,0.000013757787,0.02033019,0.0000036991448,0.00006287117,0.8455225,0.003084634,0.0043900944],"study_design_scores_gemma":[0.000634926,0.00006685395,0.06708992,0.00015319476,0.000090766815,0.00001709619,0.0013126885,0.00076936017,0.00016455536,0.8173755,0.111576766,0.00074837066],"about_ca_topic_score_codex":0.059820153,"about_ca_topic_score_gemma":0.00036888276,"teacher_disagreement_score":0.3265909,"about_ca_system_score_codex":0.0012908028,"about_ca_system_score_gemma":0.00029028958,"threshold_uncertainty_score":0.99963474},"labels":[],"label_agreement":null},{"id":"W2168194057","doi":"10.1007/s10645-008-9087-0","title":"The Part-Time Wage Gap: a Career Perspective","year":2008,"lang":"en","type":"article","venue":"De Economist","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Wage growth; Wage; Promotion (chess); Perspective (graphical); Labour economics; Economics; Demographic economics; Test (biology); Political science","score_opus":0.038214476474645265,"score_gpt":0.21395282048825015,"score_spread":0.17573834401360489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168194057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7229572,0.0013982692,0.00020032967,0.003318119,0.0004522792,0.00017632432,0.00040173522,0.00005913739,0.2710366],"genre_scores_gemma":[0.9837631,0.0005171481,0.000110162786,0.00056943594,0.00029582813,0.000039367147,0.0000136592025,0.000029683046,0.014661627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867636,0.00002878024,0.00047636896,0.00038859216,0.000021015612,0.00040887584],"domain_scores_gemma":[0.99892735,0.00015376326,0.00024075455,0.0005113516,0.0000491425,0.000117627074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000856964,0.00015582131,0.00030045942,0.000050848,0.00046222613,0.00011410013,0.00034067564,0.000088988236,0.0006578179],"category_scores_gemma":[0.00021381794,0.00014973816,0.0001639368,0.000098731056,0.00016864721,0.00013892393,0.00007118345,0.00016955574,0.0013236019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027252356,0.00004843712,0.0361227,0.0000035890225,0.00008705918,0.00001991408,0.00084729044,0.00003864333,0.0000031385587,0.95720714,0.0053581595,0.00023669278],"study_design_scores_gemma":[0.000893636,0.0000627327,0.07995717,0.0000061031124,0.000008140314,0.000040632858,0.0003478717,0.006315499,0.000023922834,0.30011445,0.6116227,0.0006071858],"about_ca_topic_score_codex":0.00095219375,"about_ca_topic_score_gemma":0.0001617455,"teacher_disagreement_score":0.6570927,"about_ca_system_score_codex":0.0004435211,"about_ca_system_score_gemma":0.00006034983,"threshold_uncertainty_score":0.99945396},"labels":[],"label_agreement":null},{"id":"W2168326213","doi":"10.7202/1018429ar","title":"Contrats de travail et segmentation du marché du travail dans le secteur manufacturier camerounais","year":2013,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.016765835837572834,"score_gpt":0.2062938201366279,"score_spread":0.18952798429905507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168326213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457829,0.002846149,0.020888878,0.014516718,0.0016396453,0.0011226041,0.0016585106,0.00009846719,0.011446151],"genre_scores_gemma":[0.9684812,0.0067071514,0.0017143574,0.006502822,0.00059998035,0.0003213127,0.0003153158,0.00014905339,0.0152087975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9951887,0.0006915431,0.0017832601,0.0011215573,0.000064211854,0.0011507273],"domain_scores_gemma":[0.9970371,0.0005955673,0.0009499977,0.0008206758,0.00014360211,0.00045305834],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002878251,0.0006902921,0.0011043119,0.00022981223,0.00032507378,0.000840125,0.0006218809,0.000662396,0.003631158],"category_scores_gemma":[0.0002991235,0.00088692043,0.00042820754,0.0002262988,0.00040709614,0.0015051928,0.0001503519,0.0006738366,0.00093837274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016414237,0.0012034257,0.23410933,0.00054587604,0.00089469244,0.00006531873,0.01979284,0.00071745086,0.0008972543,0.6746793,0.009573648,0.057356734],"study_design_scores_gemma":[0.003321478,0.0002715416,0.8043881,0.00010013038,0.00007125261,0.00008792595,0.0024779446,0.013139577,0.0016883112,0.100350365,0.07242809,0.0016752958],"about_ca_topic_score_codex":0.053956095,"about_ca_topic_score_gemma":0.0068002352,"teacher_disagreement_score":0.5743289,"about_ca_system_score_codex":0.0010202753,"about_ca_system_score_gemma":0.00029058277,"threshold_uncertainty_score":0.9998395},"labels":[],"label_agreement":null},{"id":"W2169589307","doi":"10.1257/aer.97.2.104","title":"Evaluating the Worker Profiling and Reemployment Services System Using a Regression Discontinuity Approach","year":2007,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Regression discontinuity design; Profiling (computer programming); Regression; Economics; Discontinuity (linguistics); Econometrics; Regression analysis; Seemingly unrelated regressions; Actuarial science; Computer science; Statistics; Mathematics","score_opus":0.07542675558793045,"score_gpt":0.34511179395771613,"score_spread":0.2696850383697857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169589307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407117,0.04896801,0.002772292,0.0002850691,0.00021689133,0.00085994595,0.000044560038,0.00004028718,0.0061012586],"genre_scores_gemma":[0.9827229,0.008732633,0.007587756,0.00064176717,0.00014477345,0.000043227938,0.000015282068,0.000034763994,0.00007693114],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976912,0.00011155737,0.0011837253,0.00059379294,0.00004679192,0.00037292606],"domain_scores_gemma":[0.9977226,0.00013590817,0.0014017317,0.0006186632,0.000023631623,0.000097422606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006932408,0.00023282014,0.0008165013,0.00006432154,0.00020751473,0.000105600666,0.0003047417,0.000038808404,0.000016293228],"category_scores_gemma":[0.000050244194,0.0001725803,0.00013545045,0.00019565046,0.00014546877,0.00018766266,0.00018151774,0.00016994413,0.000025402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010492589,0.00012598517,0.3860107,0.0075426847,0.0003706123,0.000007668841,0.00086505705,0.00033403025,0.00005778171,0.2704486,0.0000464982,0.33408546],"study_design_scores_gemma":[0.003002233,0.0007654185,0.20739914,0.020408863,0.0006904641,0.00031728574,0.008733441,0.7047083,0.00006510561,0.01671628,0.032433774,0.0047597275],"about_ca_topic_score_codex":0.001228815,"about_ca_topic_score_gemma":0.000055242643,"teacher_disagreement_score":0.70437425,"about_ca_system_score_codex":0.00033795525,"about_ca_system_score_gemma":0.000027312091,"threshold_uncertainty_score":0.70376205},"labels":[],"label_agreement":null},{"id":"W2169723693","doi":"10.1920/wp.ifs.2010.1002","title":"Releasing jobs for the young? Early retirement and youth unemployment in the United Kingdom","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Labour economics; Fallacy; Population; Quarter (Canadian coin); Demographic economics; Economic growth; Sociology; Demography","score_opus":0.11590784615811686,"score_gpt":0.2945730214189703,"score_spread":0.17866517526085343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169723693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7140671,0.0074253236,0.007552626,0.01052239,0.0070920833,0.0049605463,0.006731964,0.000044147426,0.24160379],"genre_scores_gemma":[0.9676804,0.0029003161,0.0001337704,0.0008719606,0.00035949962,0.0001509997,0.00040668002,0.00006139641,0.027434995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980056,0.00006961231,0.00083107955,0.000586966,0.00008450141,0.0004222053],"domain_scores_gemma":[0.997692,0.0003150408,0.00078758027,0.0010929876,0.00006474743,0.000047643007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021042603,0.00033138893,0.000555888,0.0002172369,0.0004986145,0.0007744134,0.0008535956,0.00026190522,0.00016892087],"category_scores_gemma":[0.00021834119,0.0002161178,0.00015722871,0.00017896786,0.00012921695,0.000096760894,0.00016860288,0.00042808897,0.00010146171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001680471,0.00016704774,0.036721006,0.00021500916,0.0003307409,0.000005340405,0.005189221,0.00010671713,6.3456605e-7,0.93637484,0.01959008,0.0011313065],"study_design_scores_gemma":[0.002816526,0.00031827358,0.099498555,0.0003440165,0.00012968277,0.000004704059,0.0011021965,0.008821746,0.0000025445943,0.04718576,0.8382847,0.0014913281],"about_ca_topic_score_codex":0.026175762,"about_ca_topic_score_gemma":0.0009279026,"teacher_disagreement_score":0.88918906,"about_ca_system_score_codex":0.00015180529,"about_ca_system_score_gemma":0.000035344987,"threshold_uncertainty_score":0.980309},"labels":[],"label_agreement":null},{"id":"W2170623764","doi":"","title":"Negative Income Tax and Labor Market Participation. A Short Run Analysis","year":2012,"lang":"en","type":"article","venue":"Economie teoretică şi aplicată","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec en Outaouais","funders":"","keywords":"Economics; Labour economics; Monetary economics","score_opus":0.018336184929471835,"score_gpt":0.2465535955505715,"score_spread":0.22821741062109965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170623764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93709624,0.0007898193,0.0019550472,0.0010421863,0.0001849839,0.00032079985,0.0011903469,0.00006677527,0.05735382],"genre_scores_gemma":[0.9963181,0.00027083923,0.0014537562,0.00041828473,0.00019011152,0.00014827937,0.00004774804,0.000041450934,0.0011114371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997626,0.000060268565,0.0009806644,0.00064923696,0.000041987594,0.000641834],"domain_scores_gemma":[0.99811333,0.00028388156,0.00037355185,0.00079218124,0.000051273913,0.00038575634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016387345,0.0002945008,0.00079310784,0.00037756623,0.00017354242,0.00020371663,0.0003137836,0.00017010298,0.0029469559],"category_scores_gemma":[0.0002965818,0.00033168698,0.00021157872,0.00066551927,0.00021826674,0.0008064759,0.00019961188,0.00019782547,0.0002285844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017956434,0.00007104562,0.5648983,0.000010773485,0.00028915645,5.2395757e-7,0.00020536882,0.000009897114,0.0000014531469,0.43390366,0.0001288059,0.00046303257],"study_design_scores_gemma":[0.00031928014,0.000033573724,0.87134504,0.0000040034756,0.00012813503,0.0000016242394,0.00004400353,0.005887159,0.000048240225,0.11463257,0.007118925,0.00043741454],"about_ca_topic_score_codex":0.00036663408,"about_ca_topic_score_gemma":0.00012710574,"teacher_disagreement_score":0.31927112,"about_ca_system_score_codex":0.0001925428,"about_ca_system_score_gemma":0.00001719431,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W2170885175","doi":"10.1111/j.1742-7363.2008.00097.x","title":"Labor market fluctuations in the small and in the large","year":2008,"lang":"en","type":"article","venue":"International Journal of Economic Theory","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Unemployment; Wright; Production (economics); Work (physics); Econometrics; Microeconomics; Macroeconomics; Computer science","score_opus":0.02268086104215863,"score_gpt":0.24339003993027963,"score_spread":0.220709178888121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170885175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98081374,0.0007289457,0.00041777,0.0040548705,0.0005163762,0.00007891239,0.0001518039,0.0000015670867,0.013236006],"genre_scores_gemma":[0.9971251,0.00079489953,0.0001058838,0.0015634221,0.00020083487,0.0000050418757,0.000003594787,0.0000064730007,0.00019477808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99888736,0.00014469997,0.0006884481,0.00011495806,0.000039394796,0.00012513154],"domain_scores_gemma":[0.99878305,0.00062319,0.00039417902,0.0001439427,0.00003572386,0.000019924673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049513546,0.00007881777,0.00018017725,0.00023273299,0.000046194098,0.00006562122,0.0006416486,0.000040807972,0.00028338734],"category_scores_gemma":[0.0002731442,0.000056980414,0.00007270385,0.00006613869,0.000061344595,0.00019525886,0.000041159692,0.00022662536,0.000016177977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008806112,0.0000894526,0.14669874,0.0000017823277,0.000039586714,0.00005203562,0.0020771262,0.000079781625,0.000001345543,0.85037714,0.00022921583,0.000265711],"study_design_scores_gemma":[0.00073016935,0.000017998675,0.51674825,0.000009078622,0.0000021119167,0.00014331724,0.0005754721,0.00065435836,7.9496334e-7,0.47028515,0.010762758,0.000070537346],"about_ca_topic_score_codex":0.000060416223,"about_ca_topic_score_gemma":0.00029737383,"teacher_disagreement_score":0.38009202,"about_ca_system_score_codex":0.000105315,"about_ca_system_score_gemma":0.000041432962,"threshold_uncertainty_score":0.31028926},"labels":[],"label_agreement":null},{"id":"W2171099002","doi":"10.1111/1468-0106.00009","title":"Gender Wage Gaps in Post‐Reform Rural China","year":2002,"lang":"en","type":"article","venue":"Pacific Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Earnings; Wage; China; Economics; Labour economics; Competition (biology); Demographic economics; Political science","score_opus":0.031285459092949754,"score_gpt":0.23279568353479926,"score_spread":0.20151022444184952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171099002","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2198919,0.19012423,0.000040408366,0.0028124945,0.0008837907,0.00067658967,0.00050002045,0.000059332066,0.58501124],"genre_scores_gemma":[0.8115652,0.18585935,0.00009253766,0.0006900305,0.00009603774,0.000056127934,0.000053939242,0.00003630698,0.0015504324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974178,0.000048438265,0.001473183,0.0005356807,0.000029539462,0.000495359],"domain_scores_gemma":[0.998564,0.00003483245,0.00049484853,0.00075983425,0.000015090585,0.0001313812],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015812191,0.0002889294,0.00094837864,0.0001821865,0.000068101195,0.000077564415,0.0003854927,0.00011247147,0.008481501],"category_scores_gemma":[0.000073220705,0.0002975876,0.00028338018,0.00018905218,0.000049287268,0.0003647568,0.00008451156,0.0002588905,0.005282166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012974649,0.00026616122,0.056891385,0.0018714885,0.00014224881,0.000028548078,0.00073208404,0.00002351931,0.000004431817,0.9065665,0.004096608,0.029364033],"study_design_scores_gemma":[0.002753472,0.00017002026,0.19986734,0.0015815137,0.000056013014,0.00009459249,0.0004592139,0.013236863,0.0000064365304,0.16502397,0.61361766,0.0031328802],"about_ca_topic_score_codex":0.00052982185,"about_ca_topic_score_gemma":0.00008227013,"teacher_disagreement_score":0.7415425,"about_ca_system_score_codex":0.0006419689,"about_ca_system_score_gemma":0.00001627803,"threshold_uncertainty_score":0.9999476},"labels":[],"label_agreement":null},{"id":"W2171794148","doi":"10.3138/cpp.2013-001","title":"The Puzzling Effects of Delaying Schooling on Canadian Wages","year":2014,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graduation (instrument); Earnings; Demographic economics; Economics; Higher education; Labour economics; Postsecondary education; Selection (genetic algorithm); Actuarial science; Accounting; Economic growth; Engineering","score_opus":0.01408105901514523,"score_gpt":0.2094459009055191,"score_spread":0.19536484189037387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171794148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79682535,0.001166059,0.00040629067,0.03264189,0.001100805,0.0003564897,0.00036689732,0.00003772987,0.16709848],"genre_scores_gemma":[0.99584186,0.000114886556,0.00005605188,0.00314071,0.000350199,0.000016815373,0.00001296283,0.0000308557,0.0004356727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982737,0.000053066233,0.00044851768,0.0002879849,0.00004599692,0.0008907506],"domain_scores_gemma":[0.99785185,0.00030949037,0.0002011018,0.0005632623,0.00006788495,0.0010063931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366334,0.00015753618,0.00027304355,0.0009408937,0.00058457855,0.00026351248,0.000503747,0.00012705792,0.000029368055],"category_scores_gemma":[0.00378058,0.00015314946,0.000096585565,0.0005889635,0.00007656738,0.00014904095,0.000026219435,0.00023198269,0.000091734444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.480199e-7,0.000003862253,0.015676728,0.000020079253,0.000026446196,0.0000026712603,0.000057993413,0.000020089756,0.0000018778408,0.97197104,0.00041355714,0.01180472],"study_design_scores_gemma":[0.00048430148,0.000061514045,0.07929639,0.000052782376,0.0000055526284,0.0000036807478,0.000039164075,0.006090272,0.00002539543,0.22166952,0.6917729,0.00049856683],"about_ca_topic_score_codex":0.9352072,"about_ca_topic_score_gemma":0.93022156,"teacher_disagreement_score":0.7503015,"about_ca_system_score_codex":0.0008996511,"about_ca_system_score_gemma":0.0013597774,"threshold_uncertainty_score":0.62452537},"labels":[],"label_agreement":null},{"id":"W2172175421","doi":"10.7202/011721ar","title":"The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers’ Earnings in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Economics; Earnings; Inequality; Unemployment; Labour economics; Short run; Earnings growth; Demographic economics; Variance (accounting); Monetary economics; Macroeconomics; Finance","score_opus":0.02465359235601711,"score_gpt":0.23963154898992425,"score_spread":0.21497795663390715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172175421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993119,0.00024120709,0.000028477003,0.002584542,0.000041788542,0.00020326034,0.00052994234,0.0000033086521,0.0032484783],"genre_scores_gemma":[0.99969053,0.00010120997,0.000011657947,0.000025440133,0.00001492485,0.000011833867,0.000013604648,0.0000068337827,0.00012393328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988053,0.00007986214,0.00074985315,0.00017048346,0.00003548827,0.00015903458],"domain_scores_gemma":[0.9980006,0.0011000072,0.00047425774,0.00034806936,0.000038210328,0.000038824644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011444782,0.00009980577,0.00023533404,0.000072908995,0.00015541894,0.000019395551,0.00016407923,0.0000862569,0.00020883874],"category_scores_gemma":[0.0005827557,0.00007231478,0.00006600311,0.0002930089,0.00016120508,0.00008948611,0.00004573183,0.0003231752,0.0000044718995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000130122835,0.00003496569,0.9160209,0.0000013397083,0.00003435255,1.5000545e-7,0.00017337625,0.0052797752,9.828932e-7,0.07758017,0.00019261762,0.0006683671],"study_design_scores_gemma":[0.00021891776,0.000021161228,0.98652977,0.000014539424,0.0000028275535,3.938536e-7,0.00034509008,0.0030769678,0.0000122464435,0.008933754,0.00076463487,0.000079719],"about_ca_topic_score_codex":0.44812623,"about_ca_topic_score_gemma":0.37165007,"teacher_disagreement_score":0.07647616,"about_ca_system_score_codex":0.00047341108,"about_ca_system_score_gemma":0.00042778754,"threshold_uncertainty_score":0.6398157},"labels":[],"label_agreement":null},{"id":"W2172269771","doi":"10.1787/5k9bb1vc6skf-en","title":"Skills for Competitiveness: Country Report for United Kingdom","year":2012,"lang":"en","type":"paratext","venue":"OECD local economic and employment development (LEED) working papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Corporate governance; Quality (philosophy); Business; Regional science; Economic growth; Economics; Finance; Geography; Engineering","score_opus":0.03680243406109502,"score_gpt":0.25722223097646907,"score_spread":0.22041979691537406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172269771","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15787274,0.016818458,0.2702523,0.0037740825,0.064833194,0.015983833,0.0170048,0.00064441614,0.4528162],"genre_scores_gemma":[0.6547758,0.0037515762,0.0117886625,0.0042122016,0.0034418886,0.0034924306,0.041726075,0.00085035944,0.275961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99499434,0.000037200636,0.0022400043,0.0014526397,0.00008814348,0.0011876988],"domain_scores_gemma":[0.9969903,0.0004951694,0.0015516642,0.00055733486,0.000060071503,0.00034541255],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021128512,0.0008784911,0.0016589311,0.00048028922,0.00057833584,0.00031340212,0.00046120764,0.00071556494,0.001694819],"category_scores_gemma":[0.000047334266,0.0010120189,0.00032709845,0.00012068623,0.00022274206,0.00014705046,0.0002334049,0.0003572293,0.00063303404],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009229471,0.0009912926,0.07076081,0.0027094292,0.005219954,0.000035261222,0.0014822556,0.0024695694,0.0000126814,0.8376693,0.031021321,0.046705186],"study_design_scores_gemma":[0.0016847844,0.000054949673,0.0019193791,0.00032109025,0.000059883474,0.000013766442,0.00006902376,0.00035437965,0.00002285685,0.0025111272,0.9915592,0.0014295771],"about_ca_topic_score_codex":0.0003776056,"about_ca_topic_score_gemma":0.00022434375,"teacher_disagreement_score":0.96053785,"about_ca_system_score_codex":0.0014575969,"about_ca_system_score_gemma":0.00035806437,"threshold_uncertainty_score":0.999233},"labels":[],"label_agreement":null},{"id":"W2172287311","doi":"10.1080/00036840802360187","title":"What (if any) are the returns to computer use?","year":2009,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Microdata (statistics); Wage; Computer science; Economics; Web site; Econometrics; Labour economics; The Internet; World Wide Web; Census; Sociology","score_opus":0.02686190177121968,"score_gpt":0.20863531717579542,"score_spread":0.18177341540457576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172287311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808343,0.00011951006,0.0027424174,0.007142618,0.0012428896,0.000566217,0.00015594704,0.00006580868,0.007130308],"genre_scores_gemma":[0.9824186,0.00054964016,0.0016032252,0.014522518,0.00041192063,0.00003961064,0.000026415086,0.000030683837,0.0003974103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823755,0.000011133553,0.00070407346,0.0005909203,0.000022578592,0.00043376273],"domain_scores_gemma":[0.99849993,0.000107621876,0.0003735303,0.0008408419,0.000024477395,0.00015362249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023674,0.00023848997,0.00046306467,0.00011352103,0.00016563607,0.0008201096,0.0005111447,0.00013454609,0.00008406936],"category_scores_gemma":[0.000023306757,0.00023091148,0.00012989072,0.00018089123,0.000040421575,0.00049034547,0.000120542296,0.00020874446,0.0006488633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002935091,0.000055887856,0.0065322593,0.0000046909995,0.000036923742,0.0000012085413,0.00037428158,0.0026814656,0.000002952039,0.9838054,0.0009886111,0.005486969],"study_design_scores_gemma":[0.00065569876,0.0000828156,0.23323512,0.000017478653,0.000009985568,0.000004545536,0.00038311174,0.0070454176,0.000031480326,0.59262246,0.16510423,0.0008076833],"about_ca_topic_score_codex":0.000043234126,"about_ca_topic_score_gemma":0.000094743235,"teacher_disagreement_score":0.39118296,"about_ca_system_score_codex":0.0001681171,"about_ca_system_score_gemma":0.000014358273,"threshold_uncertainty_score":0.94162965},"labels":[],"label_agreement":null},{"id":"W2175572764","doi":"10.1186/s40175-015-0044-4","title":"Impact of minimum wage on gender wage gaps in urban China","year":2015,"lang":"en","type":"article","venue":"IZA Journal of Labor & Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"China; Wage; Minimum wage; Economics; Demographic economics; Labour economics; Geography","score_opus":0.03881991544838347,"score_gpt":0.26737125066941664,"score_spread":0.22855133522103316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175572764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99223626,0.0013725079,0.00020819207,0.00017648372,0.0004971346,0.000105299645,0.000103993385,0.0000050523754,0.005295069],"genre_scores_gemma":[0.99761933,0.00021640469,0.0017758877,0.00010088163,0.000086331434,0.000002446149,0.0000071398185,0.000024946918,0.00016661458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769545,0.0000526783,0.0015540591,0.00021718314,0.00015337912,0.00032725953],"domain_scores_gemma":[0.99822474,0.000055438173,0.0010655096,0.00024368474,0.00018899383,0.00022163238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023775923,0.00020974413,0.0006563217,0.0004941963,0.000029270068,0.00004097481,0.0003401247,0.0001039191,0.00014936396],"category_scores_gemma":[0.00030067287,0.0001839273,0.00016237178,0.00043780022,0.00003088091,0.00020082817,0.00006427506,0.000282809,0.000030662315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037198412,0.00076866656,0.9590815,0.000036868343,0.0003274784,0.00013192822,0.0072981715,0.0006872158,0.00008501606,0.028022286,0.0014254827,0.0017634244],"study_design_scores_gemma":[0.0018465172,0.000290537,0.98019165,0.00007110031,0.000005892822,0.000012578199,0.00008718145,0.000122059515,0.00015955129,0.011584179,0.0053536585,0.00027510274],"about_ca_topic_score_codex":0.00009634399,"about_ca_topic_score_gemma":0.000023260927,"teacher_disagreement_score":0.021110164,"about_ca_system_score_codex":0.0005978645,"about_ca_system_score_gemma":0.00041113084,"threshold_uncertainty_score":0.7500338},"labels":[],"label_agreement":null},{"id":"W2177586033","doi":"10.1016/j.jeca.2010.01.008","title":"Comparing the Probability of Unemployment in Northern Greece vis-à-vis the Entire Country","year":2010,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Demographic economics; Face (sociological concept); Job training; Economics; Labour economics; Political science; Sociology; Economic growth; Social science; Vocational education","score_opus":0.02771343764149282,"score_gpt":0.23363450263905314,"score_spread":0.20592106499756033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177586033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230903,0.000876746,0.00012605959,0.0026058094,0.00091989385,0.0002482236,0.00006629413,0.000004397762,0.002843544],"genre_scores_gemma":[0.9992725,0.0002791457,0.00006836972,0.0001301299,0.00017312271,0.0000042241845,0.0000016300204,0.000016918348,0.000053941596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997852,0.000120428886,0.0015357907,0.0001615103,0.00007194502,0.00025831736],"domain_scores_gemma":[0.99665004,0.00084385363,0.0017271964,0.0006464237,0.000085006825,0.000047499878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007917748,0.00017092164,0.0005736679,0.00014401684,0.00017351373,0.00008616322,0.0010638154,0.000077224104,0.00006968988],"category_scores_gemma":[0.00042404892,0.00009676911,0.00017751558,0.00027247053,0.00040665313,0.00022422953,0.00017198025,0.00064476114,0.000018634144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011304074,0.00008737319,0.82410216,0.000020705895,0.00011647351,8.008972e-7,0.000791137,0.00096967234,0.000012909162,0.17273991,0.00009087804,0.00095495227],"study_design_scores_gemma":[0.0014051516,0.00017541034,0.74420804,0.00004539602,0.000058121364,0.00004035729,0.0010859312,0.007797409,0.00021856024,0.22747138,0.017142965,0.0003512903],"about_ca_topic_score_codex":0.0015613249,"about_ca_topic_score_gemma":0.01306486,"teacher_disagreement_score":0.079894125,"about_ca_system_score_codex":0.00018316648,"about_ca_system_score_gemma":0.00010345686,"threshold_uncertainty_score":0.72904986},"labels":[],"label_agreement":null},{"id":"W2180980228","doi":"10.1007/978-1-4020-5281-1_5","title":"Overview: Changing Economic Environment and Workplace Requirements: Implications for Re-Engineering TVET for Prosperity","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Prosperity; Globalization; ICTS; Work (physics); Information and Communications Technology; New economy; Order (exchange); Inequality; Economic globalization; Knowledge economy; Business; Economic growth; Engineering; Economics; Political science; Economy; Market economy; Mechanical engineering","score_opus":0.05132534761317671,"score_gpt":0.24937478833185703,"score_spread":0.1980494407186803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180980228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003168381,0.039783705,0.1853417,0.011982559,0.0020649303,0.018438334,0.030869812,0.0003754207,0.70797515],"genre_scores_gemma":[0.062130757,0.026919823,0.041825,0.0020401808,0.0017353845,0.0031987505,0.0024660132,0.0005804198,0.8591037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979858,0.000002617044,0.00080866093,0.0007794119,0.00002644211,0.00039706493],"domain_scores_gemma":[0.99874854,0.000096169984,0.00047505467,0.0005520536,0.000025038911,0.00010316302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001120186,0.00036125802,0.0006491397,0.00021824951,0.00015093718,0.00011172026,0.00019861803,0.00027075774,0.000321251],"category_scores_gemma":[0.0000343173,0.00044433406,0.00022377346,0.000017692118,0.00002730285,0.00015736709,0.00009887819,0.00012552444,0.00002171903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014329341,0.000015552681,0.00027929363,0.00016049086,0.00009578596,9.545441e-8,0.000029893148,0.000099541,0.0000016473108,0.99412835,0.00049014,0.00468491],"study_design_scores_gemma":[0.00054865197,0.000062419116,0.0005773371,0.00005139494,0.00003144178,8.2644914e-7,0.0000037063694,0.008817966,0.0000016153025,0.3877756,0.6016316,0.0004974597],"about_ca_topic_score_codex":0.000013535559,"about_ca_topic_score_gemma":0.000020162877,"teacher_disagreement_score":0.60635275,"about_ca_system_score_codex":0.0005763022,"about_ca_system_score_gemma":0.000021703529,"threshold_uncertainty_score":0.99980086},"labels":[],"label_agreement":null},{"id":"W2182213355","doi":"","title":"ABSTRACT The Performance Pay Premium: How Big Is It and Does It Affect Wage Dispersion? *","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Percentile; Wage; Quarter (Canadian coin); Distribution (mathematics); Dispersion (optics); Affect (linguistics); Labour economics; Economics; Percentage point; Demographic economics; Econometrics; Statistics; Mathematics; Finance; Psychology","score_opus":0.011679197818643891,"score_gpt":0.2124994122761732,"score_spread":0.2008202144575293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182213355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97139555,0.0013085961,0.0010431319,0.02251213,0.00048276942,0.00013733139,0.000033775683,0.000013372362,0.003073342],"genre_scores_gemma":[0.9779816,0.017377906,0.000017917842,0.0007801131,0.00043423145,0.0000058725277,0.0000034856087,0.000025853133,0.0033730112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978096,0.000050210452,0.00040131278,0.00033300804,0.00008789443,0.001317977],"domain_scores_gemma":[0.99897254,0.00014843499,0.00039827413,0.00034670194,0.000039661845,0.000094409734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049415464,0.00021016867,0.00031338178,0.00009749304,0.00042382642,0.000280745,0.0003852936,0.000107556894,0.000109824774],"category_scores_gemma":[0.0001330743,0.00011989013,0.00014239868,0.00014818835,0.00008143262,0.00028612366,0.000072487615,0.0013914716,0.000046013407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011994826,0.0001686935,0.3326469,0.00010855368,0.0004775285,0.0000033823114,0.001577324,0.00003196913,0.00015726699,0.5796648,0.0013679684,0.08367566],"study_design_scores_gemma":[0.0023601498,0.00068997237,0.21887736,0.000110222005,0.000063547326,0.00017771659,0.0019800458,0.010182778,0.00018058598,0.6216013,0.14257379,0.00120255],"about_ca_topic_score_codex":0.00010587953,"about_ca_topic_score_gemma":0.00064875814,"teacher_disagreement_score":0.14120582,"about_ca_system_score_codex":0.00030205803,"about_ca_system_score_gemma":0.00014203019,"threshold_uncertainty_score":0.60453296},"labels":[],"label_agreement":null},{"id":"W2182911154","doi":"","title":"Minimum Wages and the Joint Distribution of Employment and Wages","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Economics; Distribution (mathematics); Labour economics; Efficiency wage; Wage; Joint probability distribution; Mathematics; Statistics","score_opus":0.042646848144441134,"score_gpt":0.2062205502898864,"score_spread":0.16357370214544525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182911154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98448324,0.0010121559,0.0021210327,0.0007164153,0.00008006239,0.00013650206,0.00017311586,0.000010004757,0.01126744],"genre_scores_gemma":[0.99839985,0.00090350327,0.00017118808,0.00008600934,0.0000123446725,0.00000806115,0.000008757552,0.0000051069055,0.00040517267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99932253,0.000019361574,0.00036126148,0.00016980269,0.00001890452,0.000108127264],"domain_scores_gemma":[0.9995567,0.000050669976,0.0001625307,0.0001757801,0.000020256482,0.000034052595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082449714,0.00007634409,0.00023529738,0.000026682677,0.000050457013,0.000022328399,0.00006128104,0.000038734946,0.00009799808],"category_scores_gemma":[0.000077409335,0.00005316275,0.000038909817,0.00005412023,0.00018035504,0.000067292836,0.000082271836,0.000046512258,0.0000038912976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030557516,0.000032614058,0.058119275,0.000017938237,0.000027018483,4.3032267e-7,0.00042498598,1.4098205e-7,0.000006752134,0.9403501,0.000067932015,0.0009222553],"study_design_scores_gemma":[0.0010657154,0.000062964005,0.64826536,0.000008361064,0.000010342472,0.0000020874827,0.00016735759,0.0009792936,0.0002247028,0.34718987,0.0018821629,0.00014176381],"about_ca_topic_score_codex":0.00094334886,"about_ca_topic_score_gemma":0.000036865542,"teacher_disagreement_score":0.5931602,"about_ca_system_score_codex":0.000011468529,"about_ca_system_score_gemma":0.0000032148143,"threshold_uncertainty_score":0.21679139},"labels":[],"label_agreement":null},{"id":"W2182940924","doi":"","title":"Choice of University Major in Canada","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Earnings; Multinomial logistic regression; Graduation (instrument); Cohort; National Child Development Study; Psychology; Variable (mathematics); Residence; Demography; Demographic economics; Economics; Socioeconomic status; Statistics; Sociology; Population; Mathematics","score_opus":0.01187607689256165,"score_gpt":0.17084915515858354,"score_spread":0.1589730782660219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182940924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8787604,0.000054951077,0.00024356291,0.00020932703,0.00006904151,0.00003326057,0.00013934913,0.000003263997,0.12048684],"genre_scores_gemma":[0.99747586,0.000008329996,0.0001653119,0.000053794338,0.000010319928,1.5581557e-7,0.000006030479,0.0000030457604,0.0022771761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995273,0.000008397654,0.00022720487,0.0001171976,0.000014739366,0.00010519288],"domain_scores_gemma":[0.99970037,0.000052278538,0.00009595429,0.000121904144,0.000012156343,0.000017320855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018978832,0.00004187655,0.00014689591,0.000062156374,0.000011611975,0.000003272906,0.000099686,0.000020915131,0.00027479941],"category_scores_gemma":[0.00002317963,0.00005112676,0.000021162452,0.00018796926,0.00000973715,0.00005094844,0.000022932945,0.00003826346,0.0000051636316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003021797,0.000012716398,0.5994526,0.0000050179483,0.0000020525679,0.0000025476536,0.000002145095,0.000051214494,0.0000021273024,0.40028313,0.00015158099,0.000031829382],"study_design_scores_gemma":[0.00030095136,0.0000034561513,0.95811975,0.000001917382,6.171049e-7,9.4621605e-8,0.00002349739,0.0012647876,0.000016479966,0.0237398,0.016448094,0.00008055426],"about_ca_topic_score_codex":0.9971371,"about_ca_topic_score_gemma":0.9957138,"teacher_disagreement_score":0.37654334,"about_ca_system_score_codex":0.00028649994,"about_ca_system_score_gemma":0.0000888501,"threshold_uncertainty_score":0.3008861},"labels":[],"label_agreement":null},{"id":"W2183316951","doi":"","title":"Financial Factors and Labor Market Fluctuations (Preliminary) ∗","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Financial accelerator; Dynamic stochastic general equilibrium; Unemployment; Economics; Shock (circulatory); Financial market; Technology shock; Business cycle; Finance; Monetary policy; Monetary economics; Keynesian economics; Macroeconomics","score_opus":0.015783186288066294,"score_gpt":0.21497926183577573,"score_spread":0.19919607554770943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183316951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9220505,0.00035192023,0.0016807172,0.0017688047,0.0001922219,0.0001207944,0.00022943916,0.000051839856,0.0735538],"genre_scores_gemma":[0.9937237,0.00015104903,0.000990741,0.0008773615,0.00005471015,0.000003763385,0.00001726058,0.000008303166,0.0041731405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990807,0.000011738141,0.00037129156,0.00029758044,0.000026204416,0.00021244428],"domain_scores_gemma":[0.99949586,0.0000656786,0.00011293891,0.00022660293,0.00002989025,0.00006905163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033814044,0.00013387695,0.00024527,0.000114937975,0.000113154565,0.00006958104,0.00011285196,0.000088663364,0.001414795],"category_scores_gemma":[0.00030565797,0.00013027755,0.000055715547,0.00020662235,0.000029687848,0.0001864784,0.000030141095,0.000093521325,0.000034669665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000139691165,0.00004957005,0.13842866,0.0000042855313,0.0000058119144,0.000001572393,0.00010176777,0.0000014468084,0.000005114491,0.85893697,0.001313156,0.0011376957],"study_design_scores_gemma":[0.00017676454,0.000074875534,0.6898001,0.0000022265933,0.0000022030042,6.468075e-7,0.000013533805,0.0009842799,0.000008003829,0.30043975,0.008354628,0.00014301299],"about_ca_topic_score_codex":0.00013298968,"about_ca_topic_score_gemma":0.000029030032,"teacher_disagreement_score":0.5584972,"about_ca_system_score_codex":0.000031638978,"about_ca_system_score_gemma":0.000015218574,"threshold_uncertainty_score":0.99949807},"labels":[],"label_agreement":null},{"id":"W2184222025","doi":"","title":"ABSTRACT Sample Attrition in the Canadian Survey of Labor and Income Dynamics","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Attrition; Economics; Demographic economics; Panel Study of Income Dynamics; Sample (material); Wage; Current Population Survey; Labour economics; Panel data; Panel survey; Population; Econometrics; Census; Demography; Sociology; Medicine","score_opus":0.019502596837302797,"score_gpt":0.22270146208489314,"score_spread":0.20319886524759034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184222025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952057,0.0012122896,0.00031997354,0.0019634587,0.00007269717,0.00012611617,0.0003815568,0.0000022289819,0.0007159832],"genre_scores_gemma":[0.9980671,0.001662621,0.0000393442,0.00012381175,0.000025412652,0.0000048837232,0.00003823082,0.000009833117,0.000028810651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984466,0.00006165821,0.00047819264,0.00013371953,0.000043232892,0.0008365964],"domain_scores_gemma":[0.999274,0.0001885471,0.00024299759,0.00014983593,0.00008039742,0.000064182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044650724,0.000088040826,0.0002070465,0.00020053024,0.0001133108,0.00010138727,0.00022125052,0.00007950308,0.000060285212],"category_scores_gemma":[0.0003500078,0.0000773989,0.000035200523,0.00028819955,0.000040737705,0.00018835792,0.000013934868,0.0007516994,0.00001033636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034263187,0.00001661987,0.5462546,0.000004828609,0.000013817934,5.213524e-7,0.00004835938,0.0000046546397,4.938618e-7,0.4525949,0.000003334899,0.0010544481],"study_design_scores_gemma":[0.00015573081,0.000025287558,0.5662956,0.0000036830004,8.32776e-7,0.000009657039,0.00009318965,0.00062973495,1.0169364e-7,0.4326932,0.000037685553,0.000055253626],"about_ca_topic_score_codex":0.7646762,"about_ca_topic_score_gemma":0.96683407,"teacher_disagreement_score":0.20215784,"about_ca_system_score_codex":0.0008345293,"about_ca_system_score_gemma":0.0004872943,"threshold_uncertainty_score":0.32658014},"labels":[],"label_agreement":null},{"id":"W2184750455","doi":"","title":"Analyzing Wage Change in East Germany During the Last Decade","year":2002,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Wage dispersion; Economics; Wage; Wage inequality; Inequality; Labour economics; Real wages; Dispersion (optics); Technological change; Demographic economics; Efficiency wage; Affect (linguistics); Macroeconomics; Sociology","score_opus":0.0425674308207545,"score_gpt":0.22809697200842546,"score_spread":0.18552954118767095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184750455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619785,0.0009670877,0.00014794055,0.0012038548,0.0001522656,0.00014060225,0.00004530489,0.00003005661,0.035334397],"genre_scores_gemma":[0.9975204,0.0004198412,0.000064099906,0.00033971015,0.0001346882,0.00002749496,0.0000021311303,0.000016716001,0.0014749122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889857,0.000019930516,0.00044543357,0.00028355667,0.000026920568,0.00032561686],"domain_scores_gemma":[0.9994333,0.00003737323,0.00013633867,0.00033010365,0.000011144934,0.00005175448],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055546005,0.000119112796,0.00022395376,0.00017071096,0.00010096605,0.00008107369,0.00024318378,0.00006449399,0.0013828637],"category_scores_gemma":[0.000048736318,0.00010130885,0.000077508514,0.00041298344,0.000029782112,0.00022167164,0.00009225974,0.00017531311,0.00033923375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003433884,0.00006847179,0.8091412,0.000018701903,0.00001851491,0.000014166407,0.0010749251,0.000019539239,0.000016656953,0.18813083,0.000030487472,0.0014630753],"study_design_scores_gemma":[0.00038775665,0.000007880186,0.97117347,0.000011323853,0.0000017629479,0.0000030157005,0.00006186097,0.018796552,0.000008146802,0.0046551228,0.0046688,0.00022433844],"about_ca_topic_score_codex":0.00062643795,"about_ca_topic_score_gemma":0.0011934232,"teacher_disagreement_score":0.1834757,"about_ca_system_score_codex":0.00009048455,"about_ca_system_score_gemma":0.0000014513856,"threshold_uncertainty_score":0.99953},"labels":[],"label_agreement":null},{"id":"W2186025946","doi":"","title":"Recruiting Talent in the Information and Communications Technology (ICT) Sector: What Role for Immigration?","year":2013,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Immigration; Government (linguistics); Position (finance); Business; Economic shortage; Information technology; Economic growth; Public relations; Political science; Economics; Finance","score_opus":0.028843658386774867,"score_gpt":0.2359521094583947,"score_spread":0.20710845107161985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186025946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961083,0.0014269743,0.0061957855,0.021566093,0.00008418211,0.00093333557,0.0000535922,0.00003259544,0.008624441],"genre_scores_gemma":[0.9959031,0.0010468357,0.001931469,0.00065798947,0.000010167169,0.00035462607,0.000048091966,0.0000036581466,0.000044106397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993748,0.000013254082,0.00039829587,0.00008630556,0.000013897337,0.00011346006],"domain_scores_gemma":[0.9993033,0.00012109396,0.0001551235,0.00036462484,0.00004283746,0.000013027534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062289066,0.000056348377,0.00010640025,0.0001466071,0.000107309315,0.0002666974,0.00023308671,0.00006306729,0.0000413375],"category_scores_gemma":[0.00009175077,0.000047627997,0.000022071292,0.0001843558,0.000038686954,0.0011075436,0.00006524919,0.00008261665,0.000030439998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011916803,0.000021670214,0.02824774,0.000010091136,0.0000052896376,1.2279742e-8,0.0011762807,0.00000376021,0.000009901493,0.9537404,0.00007069123,0.016712975],"study_design_scores_gemma":[0.00044643562,0.000045920904,0.034382112,0.000015878177,0.000002355093,0.0000020677153,0.014182274,0.07817334,0.000020953305,0.82300025,0.049545567,0.00018283626],"about_ca_topic_score_codex":0.00062481005,"about_ca_topic_score_gemma":0.0005579497,"teacher_disagreement_score":0.13074014,"about_ca_system_score_codex":0.000032366286,"about_ca_system_score_gemma":0.0000061549113,"threshold_uncertainty_score":0.2571769},"labels":[],"label_agreement":null},{"id":"W2188307966","doi":"","title":"TABLE 1: Effect of Selected Variables on the Variance of State Unemployment Rateˆ","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Recession; Economics; Quarter (Canadian coin); Variance (accounting); Unemployment rate; Recreation; Demographic economics; Labour economics; Geography; Political science; Economic growth; Macroeconomics","score_opus":0.01116235318762899,"score_gpt":0.2090752150132128,"score_spread":0.19791286182558382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188307966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757036,0.0000346978,0.0016807663,0.00028541766,0.00031696455,0.00026174923,0.00027021515,0.000017359534,0.021429224],"genre_scores_gemma":[0.99798286,0.00003896165,0.00033058124,0.000072405186,0.000019810994,0.000018648876,0.000008494434,0.000014637367,0.00151361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891394,0.000051849598,0.00055538473,0.00023126259,0.000046196557,0.00020137185],"domain_scores_gemma":[0.99850166,0.000512552,0.000391637,0.00047227344,0.000086167754,0.000035702305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019772102,0.00012765749,0.00038959435,0.000066447494,0.00004704039,0.000024023362,0.0002589774,0.000064113716,0.0008351608],"category_scores_gemma":[0.0004325995,0.000088427725,0.000057330697,0.00046634945,0.000060232527,0.00006215608,0.00004666465,0.00017794818,0.00002540528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081424136,0.00010644535,0.062074102,0.000052304084,0.00007491184,4.921222e-7,0.00004872042,0.00020036474,0.0048956433,0.9320639,0.00023702276,0.00016468832],"study_design_scores_gemma":[0.003982155,0.0019786942,0.20871434,0.00009278564,0.000048557904,0.0000029013418,0.000022577215,0.04788638,0.16640581,0.5478619,0.02190403,0.0010998796],"about_ca_topic_score_codex":0.0009752666,"about_ca_topic_score_gemma":0.00010308381,"teacher_disagreement_score":0.38420197,"about_ca_system_score_codex":0.00001444652,"about_ca_system_score_gemma":0.000027709093,"threshold_uncertainty_score":0.91444254},"labels":[],"label_agreement":null},{"id":"W2188313221","doi":"10.3390/econometrics6020028","title":"Decomposing Wage Distributions Using Recentered Influence Function Regressions","year":2018,"lang":"en","type":"article","venue":"Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":635,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Econometrics; Influence function; Economics; Variable (mathematics); Function (biology); Mathematics; Regression; Statistics; Labour economics; Mathematical analysis","score_opus":0.06970212019164312,"score_gpt":0.2693768982615971,"score_spread":0.19967477806995398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188313221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91266435,0.00056140515,0.075345315,0.00022813347,0.0014253462,0.00017156205,0.0007599715,0.00008350253,0.008760408],"genre_scores_gemma":[0.9957035,0.00013501346,0.0032851102,0.00024665616,0.000279732,0.00000918494,0.000086500106,0.000031274834,0.000222992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997976,0.000033672142,0.00089893467,0.0005826938,0.00004566844,0.00046301843],"domain_scores_gemma":[0.9983634,0.00012893707,0.0005788418,0.0005942262,0.00015449204,0.00018012026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009661297,0.00021081373,0.00038857365,0.0007666304,0.00050955685,0.0002093082,0.0003135799,0.00015548532,0.0007215681],"category_scores_gemma":[0.00082507887,0.0002490191,0.00013890519,0.0019805545,0.00014741316,0.0005999319,0.00016318334,0.00020748605,0.00047241844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049427046,0.00023423052,0.52784514,0.000026087564,0.00010675697,0.0000045180086,0.00013374006,0.00020040572,0.00016290077,0.46718645,0.00040008742,0.003650238],"study_design_scores_gemma":[0.0014490449,0.0003099152,0.61564744,0.00009426789,0.000045846773,0.000018582961,0.00007111492,0.03594198,0.0002577194,0.22733127,0.1175264,0.0013064455],"about_ca_topic_score_codex":0.00022597727,"about_ca_topic_score_gemma":0.000038765054,"teacher_disagreement_score":0.23985519,"about_ca_system_score_codex":0.0004137478,"about_ca_system_score_gemma":0.000036600562,"threshold_uncertainty_score":0.9999962},"labels":[],"label_agreement":null},{"id":"W2189316156","doi":"","title":"An International Comparison of Lifetime Labor Income Values and Inequality: A Bounds Approach","year":2008,"lang":"en","type":"article","venue":"Sciences Po publications","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Economics; Inequality; Econometrics; Distribution (mathematics); Economic inequality; Income distribution; Labour economics; Construct (python library); Demographic economics; Mathematics; Computer science; Finance","score_opus":0.07064690076163778,"score_gpt":0.3199356853726988,"score_spread":0.24928878461106102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189316156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587378,0.0002063349,0.0045402967,0.0020918408,0.0001501533,0.00010616664,0.00038595212,0.00003831155,0.03374317],"genre_scores_gemma":[0.99175876,0.00010701457,0.007578005,0.00012448564,0.000051286694,0.000022119879,0.00006321632,0.000005700423,0.0002893813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871796,0.00003886913,0.0005907589,0.00038110945,0.0001028407,0.00016845648],"domain_scores_gemma":[0.9989788,0.00006895313,0.00037426825,0.00034416377,0.00013759643,0.000096197036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014613714,0.00008661674,0.00024986122,0.00032575632,0.00031293608,0.00015816523,0.00058027694,0.00005466245,0.00011162071],"category_scores_gemma":[0.00032229043,0.0000884942,0.000038360435,0.00080790266,0.0005511808,0.00084997475,0.00009063352,0.000083351944,0.00000883971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001245932,0.00014530239,0.5691498,0.000004162824,0.000007748337,2.8777686e-8,0.00056754,0.00002857964,0.000006547935,0.42991692,0.00003240281,0.00013974917],"study_design_scores_gemma":[0.00016765283,0.00006458598,0.86287415,0.0000024502228,0.000002233531,0.0000031229138,0.00021977136,0.0395439,0.000010809199,0.09385307,0.0031125369,0.00014569215],"about_ca_topic_score_codex":0.00031560072,"about_ca_topic_score_gemma":0.000015306887,"teacher_disagreement_score":0.33606386,"about_ca_system_score_codex":0.000033654447,"about_ca_system_score_gemma":0.00007083967,"threshold_uncertainty_score":0.36086887},"labels":[],"label_agreement":null},{"id":"W2201944402","doi":"","title":"Modelling Organizational Change: Determinants and Consequences on the Labor Market","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Organizational change; Human multitasking; Labour economics; Wage inequality; Economics; Production (economics); Wage; Inequality; Organizational structure; Business; Industrial organization; Microeconomics; Management; Psychology; Political science","score_opus":0.029719818892304586,"score_gpt":0.22290227960372833,"score_spread":0.19318246071142375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201944402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807564,0.0040656137,0.0062213875,0.0028605852,0.0002582478,0.00014741179,0.000056040662,0.000011789824,0.005622502],"genre_scores_gemma":[0.9901557,0.008196104,0.00009157957,0.00058150274,0.000098994984,0.000006881338,0.0000011891402,0.000017830742,0.0008502304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850905,0.00007623097,0.00033134193,0.00020472668,0.000054207874,0.00082444854],"domain_scores_gemma":[0.99939305,0.00012341679,0.0002406207,0.00013675881,0.00005473271,0.000051410156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031704681,0.000121654695,0.00017730905,0.00007931132,0.00029519663,0.0001085718,0.00016175726,0.00005988286,0.00021962069],"category_scores_gemma":[0.00024660048,0.00009530547,0.000039628376,0.00019495621,0.00007251254,0.00014061574,0.00001616723,0.000592169,0.000020603338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010068319,0.000019678107,0.037874542,0.0000023837174,0.00002546208,0.0000018692235,0.00007605218,0.000042306696,0.0000013878664,0.9615937,0.000013614457,0.0003389533],"study_design_scores_gemma":[0.00022989024,0.0000687252,0.0014739655,0.000009729459,0.0000043290374,0.00010180928,0.00019717678,0.0067050746,0.000010133525,0.9889476,0.0021054544,0.00014615798],"about_ca_topic_score_codex":0.000065075,"about_ca_topic_score_gemma":0.00009781016,"teacher_disagreement_score":0.036400575,"about_ca_system_score_codex":0.00021171762,"about_ca_system_score_gemma":0.00024387016,"threshold_uncertainty_score":0.38864443},"labels":[],"label_agreement":null},{"id":"W2203866160","doi":"","title":"Do Firms Really Share Rents with Their Employees","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Endogeneity; Economics; Economic rent; Econometrics; Instrumental variable; Omitted-variable bias; Labour economics; Product market; Microeconomics; Incentive; Macroeconomics","score_opus":0.04472267197410668,"score_gpt":0.28759153487343203,"score_spread":0.24286886289932536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203866160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7546686,0.0005631443,0.000007452346,0.00035801707,0.00035211528,0.0008411465,0.0026260072,0.00006888698,0.2405146],"genre_scores_gemma":[0.972308,0.022526884,0.00047379825,0.00013431696,0.00029276373,0.00034981078,0.00048486257,0.00018190057,0.00324767],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99458385,0.00018534597,0.0016438664,0.0021152964,0.00015347694,0.0013181514],"domain_scores_gemma":[0.99611914,0.00038581897,0.0006323524,0.002398744,0.00013475383,0.0003291693],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032169842,0.00065333355,0.0013798659,0.0009089998,0.00023235228,0.00060659513,0.0016456703,0.00078246725,0.0012441891],"category_scores_gemma":[0.00030975993,0.0006604877,0.0003198154,0.0003309595,0.00032516394,0.00023082212,0.0011560969,0.0023786982,0.00008695086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016818749,0.0020853484,0.5690393,0.0013553324,0.0014224341,0.00034875213,0.0034011037,0.026229013,0.0000078514695,0.09132959,0.00038127557,0.30271813],"study_design_scores_gemma":[0.003895727,0.0008283163,0.21405156,0.0015553741,0.000022015704,0.000029749644,0.0007486535,0.013592723,0.000026317275,0.5689783,0.19224773,0.0040235096],"about_ca_topic_score_codex":0.0006738356,"about_ca_topic_score_gemma":0.0011103523,"teacher_disagreement_score":0.47764874,"about_ca_system_score_codex":0.0012130842,"about_ca_system_score_gemma":0.00038380764,"threshold_uncertainty_score":0.9999229},"labels":[],"label_agreement":null},{"id":"W2205511001","doi":"10.2139/ssrn.2494963","title":"Job Search Behavior over the Business Cycle","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business cycle; Business; Economics; Macroeconomics","score_opus":0.013273651986538902,"score_gpt":0.23217471334723633,"score_spread":0.21890106136069742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205511001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97618204,0.001134816,0.014398184,0.0016090285,0.0004272694,0.000112293776,0.000018914317,0.000018502036,0.0060989526],"genre_scores_gemma":[0.9961115,0.0016040119,0.00003421829,0.00026652316,0.00042959023,0.00000914705,0.0000035673834,0.000028679917,0.0015127374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99761117,0.000071348426,0.0004572719,0.00023986488,0.00008393156,0.0015364363],"domain_scores_gemma":[0.9992178,0.00006929457,0.00021128071,0.00034714595,0.000084254774,0.00007020123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053548384,0.0001392683,0.000240167,0.0001054408,0.00032916883,0.00017540398,0.00048843626,0.00008041073,0.00018121352],"category_scores_gemma":[0.00014145364,0.00011034756,0.00012409483,0.0003261277,0.000060650837,0.00019160427,0.000072172414,0.0012549845,0.00014349878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010918221,0.000046199297,0.09834183,0.0000031489126,0.000038823306,0.0000010158999,0.000049949653,0.00005342018,0.000007595941,0.8951332,0.000026001613,0.006287913],"study_design_scores_gemma":[0.0004615094,0.000056842375,0.31496987,0.0000039852052,0.000010057118,0.000059625534,0.000072304494,0.0013636686,0.000001910819,0.6757269,0.0070978883,0.00017547005],"about_ca_topic_score_codex":0.0006493846,"about_ca_topic_score_gemma":0.00067505223,"teacher_disagreement_score":0.2194063,"about_ca_system_score_codex":0.00046858034,"about_ca_system_score_gemma":0.00025790886,"threshold_uncertainty_score":0.5452353},"labels":[],"label_agreement":null},{"id":"W2207633242","doi":"10.1186/2193-9020-2-1","title":"The impact of sectoral minimum wage laws on employment, wages, and hours of work in South Africa","year":2013,"lang":"en","type":"article","venue":"IZA Journal of Labor & Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Margin (machine learning); Work (physics); Wage; Economics; Labour economics; Order (exchange); Minimum wage; Demographic economics; Engineering","score_opus":0.02700987019093855,"score_gpt":0.23913690193877984,"score_spread":0.21212703174784128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207633242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996873,0.0019612168,0.000042726508,0.00020773149,0.00017354546,0.00014935982,0.000064014566,0.0000024028186,0.0005259635],"genre_scores_gemma":[0.99863285,0.00034460277,0.0008289569,0.000027049784,0.00002809531,0.000004991461,0.0000015479554,0.000016171358,0.0001157344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981996,0.00004901029,0.0012332903,0.00014932881,0.00009986919,0.00026891168],"domain_scores_gemma":[0.9982663,0.00016566693,0.0011353182,0.00018680615,0.00014592659,0.000099984245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013581397,0.00015827094,0.0004978458,0.00022608702,0.00004879344,0.00005458236,0.0002229958,0.00006801927,0.000078991674],"category_scores_gemma":[0.00015227222,0.00011071661,0.000107373446,0.0003660692,0.00006263924,0.00012284218,0.00006203347,0.00019176689,0.0000061247483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023875042,0.00025690047,0.9829303,0.000021995364,0.00026061133,0.00001165107,0.007162634,0.00015587923,0.00008278411,0.0049426663,0.0004031197,0.0035326842],"study_design_scores_gemma":[0.0008188653,0.00020293223,0.99247414,0.00011030758,0.00000438569,0.0000020520256,0.00021316105,0.000029942887,0.00013845402,0.0045974893,0.001253514,0.00015473364],"about_ca_topic_score_codex":0.0001249102,"about_ca_topic_score_gemma":0.00002827525,"teacher_disagreement_score":0.009543839,"about_ca_system_score_codex":0.0001592004,"about_ca_system_score_gemma":0.00012285136,"threshold_uncertainty_score":0.45148924},"labels":[],"label_agreement":null},{"id":"W2219652240","doi":"","title":"Affirmative action for racial equality: features, impact and challenges","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affirmative action; Equity (law); Ethnic group; Diversity management; Diversity (politics); Racial diversity; Population; Political science; Equal opportunity; Action (physics); Demographic economics; Development economics; Geography; Economics; Sociology; Labour economics; Demography; Law","score_opus":0.12122728358252136,"score_gpt":0.3676422202904358,"score_spread":0.24641493670791445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219652240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87839,0.015589536,0.00009758006,0.0045678546,0.0013325548,0.0026765042,0.0044761314,0.00008692107,0.092782915],"genre_scores_gemma":[0.865992,0.13097265,0.0007273526,0.000066475746,0.00075404305,0.00039133444,0.00021184252,0.00008505564,0.0007992203],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962437,0.00021049104,0.0011700345,0.0013672649,0.00008934561,0.00091917434],"domain_scores_gemma":[0.99728155,0.0007801497,0.0006636854,0.000908569,0.00012678227,0.00023926195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058457446,0.00045941662,0.001135664,0.0007322623,0.0002461424,0.00030499493,0.0005308657,0.0008296996,0.00007815848],"category_scores_gemma":[0.00087748974,0.00053186744,0.00035078466,0.0001096005,0.00022934563,0.00026654007,0.00077300234,0.001512019,0.000009594614],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007657653,0.0004918418,0.0075263805,0.0013831268,0.0006148659,0.000008680865,0.0037318058,0.0031111457,0.0000086422015,0.19620076,0.000063440166,0.78609353],"study_design_scores_gemma":[0.0038122768,0.0005437541,0.15704016,0.0003425454,0.0000283843,0.00001737013,0.0016060183,0.03254378,0.000032591965,0.5170907,0.28452373,0.0024186813],"about_ca_topic_score_codex":0.0003389953,"about_ca_topic_score_gemma":0.0022467226,"teacher_disagreement_score":0.78367484,"about_ca_system_score_codex":0.0016195361,"about_ca_system_score_gemma":0.00020295556,"threshold_uncertainty_score":0.9997133},"labels":[],"label_agreement":null},{"id":"W2224301937","doi":"","title":"The Role of Social Welfare Policies in Stabilizing Income and Employment of Those Who Graduate from a High School in a Bad Economy","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Human capital; Investment (military); Graduation (instrument); Welfare; Educational attainment; Labour economics; National Longitudinal Surveys; Subsidy; Welfare reform; Wage; Demographic economics; Economic growth; Political science","score_opus":0.034171026108247515,"score_gpt":0.2510011767296724,"score_spread":0.2168301506214249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224301937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911598,0.00069255003,0.000014246398,0.0016354766,0.000047014768,0.00017159339,0.00021988025,0.000005624584,0.0060538333],"genre_scores_gemma":[0.99963063,0.00011987756,0.00011060769,0.00003834694,0.000020167356,0.000019218127,0.0000063713464,0.000010471639,0.00004432416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872464,0.000048655445,0.00078685407,0.00021052665,0.00003519588,0.00019412665],"domain_scores_gemma":[0.9992887,0.00009786169,0.00030550113,0.00020116365,0.00004963295,0.00005713495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011231793,0.00010863731,0.00042954437,0.00015193652,0.000041037376,0.000044214084,0.0001706872,0.000063554005,0.000029188468],"category_scores_gemma":[0.00015446167,0.00009540833,0.000040929852,0.00021107864,0.00008025665,0.00015419911,0.000151991,0.00011408496,0.0000019300674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003040295,0.00003715859,0.55971235,0.000006739804,0.000013036957,2.7222157e-7,0.0011954827,0.000011679857,0.0000033237905,0.4384276,0.0000027420763,0.00055921625],"study_design_scores_gemma":[0.00069648115,0.00002860575,0.66959196,0.000011172923,0.0000015124465,6.4144196e-8,0.0018123735,0.0010890128,0.000034995657,0.32553643,0.0010990915,0.000098274344],"about_ca_topic_score_codex":0.039643183,"about_ca_topic_score_gemma":0.008889388,"teacher_disagreement_score":0.112891175,"about_ca_system_score_codex":0.00013230949,"about_ca_system_score_gemma":0.000038970295,"threshold_uncertainty_score":0.96675193},"labels":[],"label_agreement":null},{"id":"W2224670111","doi":"10.2139/ssrn.2492452","title":"Convergences in Men's and Women's Life Patterns: Lifetime Work, Lifetime Earnings, and Human Capital Investment","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Earnings; Human capital; Investment (military); Labour economics; Demographic economics; Work (physics); Economics; Business; Finance; Political science; Economic growth; Engineering","score_opus":0.007421112978390187,"score_gpt":0.20041486909939174,"score_spread":0.19299375612100156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224670111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944937,0.002457453,0.00044057483,0.0007588498,0.00014253824,0.0001252184,0.00001172051,0.000016322196,0.0015536264],"genre_scores_gemma":[0.9941976,0.004212631,0.000031747695,0.0005131468,0.00017723728,0.000016046231,0.00000562871,0.000027339795,0.000818605],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972021,0.00010795529,0.0006985483,0.00041675905,0.000077893805,0.0014967611],"domain_scores_gemma":[0.9990452,0.0000739752,0.0004254532,0.00017657068,0.000025837506,0.0002529623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042951517,0.00022610227,0.0004665678,0.00023768301,0.00017874467,0.00016386059,0.00020741655,0.00011641281,0.00016036842],"category_scores_gemma":[0.00018547574,0.00023291775,0.00005402243,0.00016991438,0.000088371824,0.000246478,0.000099193734,0.0010123372,0.000028050674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021424312,0.000047395184,0.55384785,0.000013105809,0.00007271717,0.0000018980348,0.0008180446,0.0000081335575,0.0000045263364,0.44456512,0.000009943162,0.0005898442],"study_design_scores_gemma":[0.0013588923,0.00042515955,0.3178997,0.000031734908,0.0000073210567,0.000024301273,0.0013642673,0.00039724188,0.0000013696438,0.6763885,0.0017023111,0.00039921823],"about_ca_topic_score_codex":0.00045732065,"about_ca_topic_score_gemma":0.00025097645,"teacher_disagreement_score":0.23594816,"about_ca_system_score_codex":0.00044865088,"about_ca_system_score_gemma":0.00014957259,"threshold_uncertainty_score":0.94981104},"labels":[],"label_agreement":null},{"id":"W2225564405","doi":"10.2139/ssrn.2505373","title":"Public Employment Policies and Regional Unemployment Differences","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unemployment; Labour economics; Public policy; Economics; Demographic economics; Economic growth","score_opus":0.04109673542954912,"score_gpt":0.2297355200796564,"score_spread":0.18863878465010728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225564405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726145,0.0034657926,0.008891017,0.011116275,0.00021192332,0.00007871589,0.000013701698,0.000025858417,0.0035821644],"genre_scores_gemma":[0.9914778,0.0063866205,0.00006646514,0.0004978951,0.00024041497,0.000006898301,0.0000041524786,0.000018228531,0.0013015202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976781,0.000054382777,0.0004952562,0.00027178178,0.00007838251,0.0014220965],"domain_scores_gemma":[0.9992648,0.00006210148,0.00031082946,0.00018716694,0.0000442577,0.00013085073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026223296,0.00016214077,0.00030510224,0.00017666396,0.00023973054,0.00020562824,0.00024903438,0.00006870618,0.00004748877],"category_scores_gemma":[0.00010533824,0.00014995846,0.00008928726,0.0001386132,0.00007880142,0.00018970355,0.00006682789,0.0006294894,0.000024616471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066498833,0.000042492607,0.16285227,0.0000028926884,0.00006638393,2.275929e-7,0.000068682035,0.000001417925,0.000002519883,0.83281404,0.000031957523,0.0041104853],"study_design_scores_gemma":[0.00043187148,0.00019988217,0.05107165,0.000006029687,0.0000048558013,0.000050405568,0.00012820183,0.0004624503,9.190827e-7,0.9301111,0.017336518,0.0001960823],"about_ca_topic_score_codex":0.00032848286,"about_ca_topic_score_gemma":0.0006993546,"teacher_disagreement_score":0.11178061,"about_ca_system_score_codex":0.00042091173,"about_ca_system_score_gemma":0.00017501785,"threshold_uncertainty_score":0.61151284},"labels":[],"label_agreement":null},{"id":"W2233921664","doi":"","title":"La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ?: l’exemple canadien","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Welfare economics; Economics; Wage; Humanities; Psychology; Sociology; Political science; Labour economics; Art","score_opus":0.012783355201239117,"score_gpt":0.2239721228917959,"score_spread":0.2111887676905568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233921664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68088466,0.0012746104,0.20589319,0.016808935,0.00069591,0.00082286046,0.00079681375,0.00014535889,0.09267768],"genre_scores_gemma":[0.9504621,0.0023676534,0.021965466,0.00011791789,0.00008225382,0.00015104418,0.0020853088,0.000091308495,0.02267697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9855049,0.011096348,0.0014534526,0.0010576464,0.00021144132,0.00067619584],"domain_scores_gemma":[0.99104,0.004501868,0.0015869836,0.0018345428,0.0007884881,0.0002481555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.022146625,0.0005029646,0.0007281921,0.00032740246,0.0007681004,0.0007014272,0.0010649592,0.00093093386,0.000327621],"category_scores_gemma":[0.0033216192,0.00065136916,0.00033590695,0.0004869268,0.0002655007,0.00056623,0.0010387931,0.0011809868,0.00007422755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035357112,0.0013743116,0.059507445,0.00053147867,0.00012043191,0.0000130954995,0.03142985,0.0015561016,0.00026244015,0.89118105,0.002825451,0.011162959],"study_design_scores_gemma":[0.0033092853,0.0000030936849,0.2656894,0.0034643107,0.00012330306,0.000038485632,0.0014679141,0.27671322,0.003713918,0.22798029,0.21550286,0.0019939078],"about_ca_topic_score_codex":0.08389579,"about_ca_topic_score_gemma":0.030309929,"teacher_disagreement_score":0.6632008,"about_ca_system_score_codex":0.0012351822,"about_ca_system_score_gemma":0.0005957394,"threshold_uncertainty_score":0.99959373},"labels":[],"label_agreement":null},{"id":"W2234304167","doi":"","title":"Evolution of Gender Differences in Occupational Mobility and Wages","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Current Population Survey; Quarter (Canadian coin); Occupational mobility; Demographic economics; Labour economics; Economics; Occupational segregation; Gender gap; Population; Work (physics); Demography; Geography; Sociology","score_opus":0.08938631841953701,"score_gpt":0.30509522485250273,"score_spread":0.21570890643296572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234304167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625217,0.0008465898,0.000034637622,0.000039210223,0.00025916242,0.00046673958,0.0005702788,0.000009745119,0.035251975],"genre_scores_gemma":[0.9931056,0.0061215023,0.00037987935,0.000010513736,0.000052332027,0.000115195755,0.000041203835,0.000024119627,0.0001496562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700445,0.00017167392,0.0013028475,0.0009709597,0.00007654034,0.00047353737],"domain_scores_gemma":[0.99824953,0.00036137944,0.00047816779,0.0007240012,0.00008674105,0.00010017709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004090997,0.00024403464,0.0008233714,0.0007865755,0.000055637305,0.000057421945,0.0004566641,0.0004480813,0.000149317],"category_scores_gemma":[0.00060257845,0.00028833054,0.00011953733,0.00016478864,0.0003696395,0.0001313528,0.000792547,0.0009254356,0.0000038902326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084194675,0.00023362415,0.8507079,0.00025109109,0.000036950576,0.0000024430008,0.00036930133,0.00023942198,0.0000035578694,0.14456554,0.0000011922031,0.0035048001],"study_design_scores_gemma":[0.00027128911,0.000026788466,0.6732045,0.000042882948,0.0000013710239,5.4197e-7,0.00012073888,0.0058522555,0.0000035271173,0.3202119,0.000069369446,0.00019487909],"about_ca_topic_score_codex":0.0022607518,"about_ca_topic_score_gemma":0.0011479676,"teacher_disagreement_score":0.17750342,"about_ca_system_score_codex":0.0008388576,"about_ca_system_score_gemma":0.00024709056,"threshold_uncertainty_score":0.9999569},"labels":[],"label_agreement":null},{"id":"W2235578845","doi":"10.25071/1874-6322.1245","title":"Earnings Mobility in Canada","year":2002,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Earnings; Distribution (mathematics); Economics; Inequality; Demographic economics; Econometrics; Accounting; Mathematics","score_opus":0.015375575384031838,"score_gpt":0.19381288673392502,"score_spread":0.17843731134989319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235578845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585396,0.00042016918,0.0016379257,0.000557761,0.00034789,0.000039388287,0.0002934855,0.0000021787,0.0008472586],"genre_scores_gemma":[0.9997014,0.00011391988,0.000034683442,0.0000494271,0.00004462673,9.828449e-7,0.000012122453,0.0000041530966,0.000038710765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880093,0.000027089613,0.0008493773,0.00010257647,0.000059189002,0.00016085226],"domain_scores_gemma":[0.9990399,0.000051397186,0.0006405765,0.000121121135,0.00007955815,0.000067447785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009938225,0.00007141274,0.00027984398,0.000060815742,0.000030564755,0.000020972404,0.00014450176,0.000041370757,0.0003567096],"category_scores_gemma":[0.0004058688,0.000074241165,0.00006930239,0.0002452963,0.000014968743,0.00017580444,0.00002107407,0.00023158918,0.000011773327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013109813,0.000081787046,0.9780623,0.000014008248,0.000011551204,0.000023260467,0.00003679969,0.00023108468,0.000003256054,0.020657532,0.00027447828,0.0005908854],"study_design_scores_gemma":[0.00043402333,0.000034888515,0.9748846,0.000018540444,0.0000016235261,0.000012035771,0.000035425906,0.0042037847,0.000010113896,0.013691311,0.0065719937,0.00010160324],"about_ca_topic_score_codex":0.27812156,"about_ca_topic_score_gemma":0.14816554,"teacher_disagreement_score":0.129956,"about_ca_system_score_codex":0.0014176656,"about_ca_system_score_gemma":0.000070544505,"threshold_uncertainty_score":0.86737823},"labels":[],"label_agreement":null},{"id":"W2235793931","doi":"10.1016/j.jpubeco.2014.04.014","title":"The pitfalls of work requirements in welfare-to-work policies: Experimental evidence on human capital accumulation in the Self-Sufficiency Project","year":2014,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Welfare; Human capital; Economics; Work (physics); Labour economics; Population; Baseline (sea); Demographic economics; Finance; Economic growth; Political science; Medicine; Engineering","score_opus":0.14314977540279242,"score_gpt":0.34431568302004195,"score_spread":0.20116590761724953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235793931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99229085,0.0002749701,0.00008346274,0.004122025,0.00039589423,0.00032198904,0.000009624487,0.000004334902,0.0024968698],"genre_scores_gemma":[0.99917716,0.00015273284,0.00016772481,0.00030845683,0.00014426415,0.000013995361,0.0000016923963,0.00001567511,0.000018312468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974862,0.00018191713,0.0016649594,0.00023256785,0.000088725596,0.00034563025],"domain_scores_gemma":[0.9976912,0.00040672233,0.0013379062,0.00043212567,0.00006974496,0.00006227916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007827568,0.00015605307,0.00040966005,0.00046630154,0.00014921145,0.00026302438,0.000910594,0.00008460825,0.000015817046],"category_scores_gemma":[0.0006840768,0.00012180855,0.0001402007,0.00057529873,0.000057809477,0.00053429056,0.00009473618,0.00027784373,0.00000724838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006426757,0.0004441921,0.2959056,0.000010477722,0.00002925251,0.0000010645771,0.0034096113,0.0006931892,0.000009236058,0.69854254,0.00005735573,0.00083321723],"study_design_scores_gemma":[0.0012399642,0.00085141795,0.9562948,0.00013795328,0.0000060765037,0.000004364402,0.0021994547,0.0009540206,0.000025369734,0.03003819,0.007890921,0.00035752353],"about_ca_topic_score_codex":0.00027163926,"about_ca_topic_score_gemma":0.00022361246,"teacher_disagreement_score":0.66850436,"about_ca_system_score_codex":0.00053694815,"about_ca_system_score_gemma":0.000072260664,"threshold_uncertainty_score":0.49672085},"labels":[],"label_agreement":null},{"id":"W2241851017","doi":"10.7202/1034738ar","title":"Éducation et frais de scolarité","year":2014,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science","score_opus":0.0415541465910051,"score_gpt":0.2568872654423243,"score_spread":0.21533311885131923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241851017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84442735,0.0025231538,0.04330113,0.039580736,0.004141179,0.00037169986,0.0006669402,0.00008474397,0.064903066],"genre_scores_gemma":[0.959954,0.0014297479,0.0052191895,0.011565471,0.00082055456,0.00006743756,0.00011343996,0.0000885628,0.020741545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99672526,0.00044768528,0.0012096377,0.00081414345,0.000029846822,0.0007734024],"domain_scores_gemma":[0.99726254,0.00075013336,0.00071735686,0.00090610806,0.00009066362,0.0002731823],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0056429165,0.00038681432,0.0007586193,0.00021589179,0.00016472362,0.00042173231,0.0004904032,0.00060948916,0.001555253],"category_scores_gemma":[0.0015602047,0.0005458515,0.00029293328,0.00024659222,0.00015247523,0.000681931,0.00015303458,0.00057351065,0.0008490014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002023733,0.00025156757,0.0423237,0.00016984245,0.000094263305,0.0000020761286,0.002045429,0.00016691597,0.000016163105,0.94339794,0.0013281233,0.010183757],"study_design_scores_gemma":[0.00049561897,0.00008355944,0.042358477,0.0000738706,0.000016457918,0.000008699981,0.00007232051,0.0106024975,0.00006860256,0.48185343,0.4638528,0.0005136759],"about_ca_topic_score_codex":0.006603183,"about_ca_topic_score_gemma":0.0014535205,"teacher_disagreement_score":0.46252468,"about_ca_system_score_codex":0.0008426254,"about_ca_system_score_gemma":0.00023936837,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W2242117615","doi":"10.2139/ssrn.2691273","title":"Loss of Skill and Labor Market Fluctuations","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Labour economics; Economics; Business","score_opus":0.013869701878497568,"score_gpt":0.22620824796175076,"score_spread":0.2123385460832532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242117615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752688,0.0063009607,0.0050068134,0.0011902683,0.00024400592,0.000074687574,0.00010340033,0.000010268185,0.011800837],"genre_scores_gemma":[0.9930752,0.00407506,0.00023517758,0.00007592551,0.000098946024,0.0000020727093,0.0000037983177,0.000014065247,0.0024197788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985492,0.0000326575,0.00046888186,0.00015898322,0.0000502377,0.00074003823],"domain_scores_gemma":[0.9992601,0.000042562093,0.00032454537,0.00015893641,0.00011124858,0.00010260753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033462818,0.00009539287,0.0002467482,0.00012990809,0.00006257055,0.000037541755,0.00015592818,0.000061126455,0.0000854566],"category_scores_gemma":[0.00031852192,0.00009738485,0.000057304485,0.00018976044,0.000054219923,0.0001797455,0.000038773982,0.00047679097,0.000013656098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022610277,0.000037690304,0.09593444,0.0000047392728,0.00006229094,0.0000010117868,0.00015818085,0.000008008645,0.0000021184915,0.9028078,0.000065543114,0.0008956101],"study_design_scores_gemma":[0.0006431429,0.00011114251,0.03146053,0.0000050979593,0.000006985643,0.000061353916,0.00033269706,0.00054924586,0.0000028645213,0.96276104,0.0039462545,0.00011961785],"about_ca_topic_score_codex":0.00014290724,"about_ca_topic_score_gemma":0.00024567137,"teacher_disagreement_score":0.06447391,"about_ca_system_score_codex":0.0002987876,"about_ca_system_score_gemma":0.00041763874,"threshold_uncertainty_score":0.39712387},"labels":[],"label_agreement":null},{"id":"W2244017620","doi":"","title":"Technical appendix to: a new look at variation in employment growth in Canada","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Appendix; Economics; Geology; Paleontology","score_opus":0.029750716936851725,"score_gpt":0.2691866996442922,"score_spread":0.2394359827074405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244017620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558122,0.00017958628,0.000044111646,0.0019691135,0.0006292584,0.0017154543,0.0004192919,0.000019313255,0.039211657],"genre_scores_gemma":[0.9914672,0.0032174836,0.0011508145,0.00033839443,0.00013822337,0.0005061451,0.00015333561,0.000085483916,0.0029429444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949232,0.00017058023,0.0020047566,0.0015768447,0.00015569585,0.001168928],"domain_scores_gemma":[0.99758685,0.00041825566,0.00042431962,0.0011182893,0.00006121742,0.00039109535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035120822,0.00040848376,0.0011000024,0.0011911922,0.00006289255,0.00016669082,0.0010513256,0.0005074523,0.00066178606],"category_scores_gemma":[0.0008756878,0.0005305189,0.00012818527,0.00044562054,0.00005860575,0.0001456626,0.002002122,0.0017071703,0.00014835731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024189042,0.0004264011,0.8594287,0.00029218395,0.000080062746,0.00013701722,0.0008026347,0.023830246,0.00003709348,0.09024942,0.00083112693,0.023643196],"study_design_scores_gemma":[0.0018330372,0.000110502326,0.7204448,0.00036574376,0.0000037298234,0.0000062877643,0.00014136874,0.02270691,0.000018637307,0.22967272,0.023138644,0.0015576509],"about_ca_topic_score_codex":0.90574616,"about_ca_topic_score_gemma":0.9651892,"teacher_disagreement_score":0.1394233,"about_ca_system_score_codex":0.019757368,"about_ca_system_score_gemma":0.0022899925,"threshold_uncertainty_score":0.9997146},"labels":[],"label_agreement":null},{"id":"W2244956481","doi":"10.13152/ijrvet.2.4.4","title":"The Academic Takes it All? A Comparison of Returns to Investment in Education between Graduates and Apprentices in Canada","year":2015,"lang":"en","type":"article","venue":"International Journal for Research in Vocational Education and Training","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universität zu Köln; Universität St. Gallen","keywords":"Vocational education; Earnings; Reputation; Prestige; Apprenticeship; Investment (military); Value (mathematics); Demographic economics; Higher education; Educational attainment; Economics; Psychology; Labour economics; Pedagogy; Sociology; Economic growth; Finance; Political science; Statistics; Social science","score_opus":0.3981992256478658,"score_gpt":0.4879779610318799,"score_spread":0.0897787353840141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244956481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96250004,0.0016642531,0.000047205413,0.033412404,0.0006943843,0.00025731415,0.000042122752,9.311426e-7,0.0013813615],"genre_scores_gemma":[0.9984242,0.00026558747,0.00057194696,0.0003544799,0.00014870509,0.00009362233,0.00004143813,0.0000059884756,0.0000940706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862444,0.00007899581,0.0007319427,0.00017060954,0.00020802015,0.00018597665],"domain_scores_gemma":[0.9986201,0.0006175876,0.00022673624,0.00006234722,0.0003335557,0.00013967945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038692732,0.00006538701,0.00015817735,0.00052391953,0.00005835518,0.000105376435,0.0002222298,0.000035775443,0.0000032857238],"category_scores_gemma":[0.0013783254,0.000061783605,0.000014615438,0.00025285885,0.000049963495,0.00019659135,0.00003533058,0.00033020086,5.3902085e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056627,0.00012536219,0.68175644,0.000019001955,0.000026288293,3.5970578e-7,0.011195247,0.00011713351,0.0000045067322,0.25144967,0.0009240832,0.054325264],"study_design_scores_gemma":[0.00050454156,0.000040371215,0.599818,0.00015793061,0.0000013752792,0.000005175656,0.029059887,0.002447096,0.0000073965425,0.34464404,0.02321913,0.00009508113],"about_ca_topic_score_codex":0.08229048,"about_ca_topic_score_gemma":0.22355649,"teacher_disagreement_score":0.141266,"about_ca_system_score_codex":0.0007796198,"about_ca_system_score_gemma":0.0023648266,"threshold_uncertainty_score":0.9238206},"labels":[],"label_agreement":null},{"id":"W2245953841","doi":"10.2139/ssrn.2307700","title":"Productivity Insurance: The Role of Unemployment Benefits in a Multi-Sector Model","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stylized fact; Unemployment; Productivity; Economics; Moral hazard; Consumption (sociology); Welfare; Labour economics; Matching (statistics); Consumption smoothing; Search cost; Microeconomics; Macroeconomics; Incentive","score_opus":0.022412151003540028,"score_gpt":0.21900381216163547,"score_spread":0.19659166115809545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245953841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890866,0.0069370805,0.002281589,0.00072173245,0.00009866502,0.0002721417,0.000043455715,0.0000075774383,0.0005511119],"genre_scores_gemma":[0.99728507,0.0021486555,0.00013754763,0.000039121664,0.00005317651,0.000030648625,0.0000015740516,0.000019105693,0.00028512313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799347,0.00004201575,0.0006083862,0.0002417898,0.00006332335,0.0010510306],"domain_scores_gemma":[0.9991687,0.00003138587,0.00040234797,0.00028248192,0.00007333898,0.00004173518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024861905,0.00013359406,0.00029575432,0.00012335289,0.00008243244,0.000044364682,0.00033197986,0.00006439002,0.000030827996],"category_scores_gemma":[0.000111889494,0.00010750721,0.000103289334,0.00025202494,0.00004226062,0.0002561722,0.000051648425,0.0008875879,0.000020357633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001579001,0.00020352419,0.3312987,0.000005564967,0.0000484186,1.2425762e-7,0.00023680463,0.00496063,0.00009714638,0.65661937,0.0000020045554,0.00651188],"study_design_scores_gemma":[0.0005374052,0.000060213722,0.109610185,0.000009394221,0.0000022579743,0.000008240126,0.00016300635,0.058097087,0.00005242337,0.83122724,0.000091108705,0.0001414568],"about_ca_topic_score_codex":0.001418436,"about_ca_topic_score_gemma":0.0022113395,"teacher_disagreement_score":0.22168852,"about_ca_system_score_codex":0.00049733376,"about_ca_system_score_gemma":0.0002815912,"threshold_uncertainty_score":0.43840167},"labels":[],"label_agreement":null},{"id":"W2247582554","doi":"","title":"Education and Skills: An Assessment of Recent Canadian Experience","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Literacy; Population; Value (mathematics); Political science; International comparisons; Economic growth; Demographic economics; Economics; Sociology; Demography","score_opus":0.028649945326942927,"score_gpt":0.3098788545853942,"score_spread":0.2812289092584513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247582554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85897213,0.0001125414,0.00066471327,0.00044156084,0.00019437274,0.000069472815,0.000029487375,0.0000058202872,0.13950989],"genre_scores_gemma":[0.9956223,0.0010038749,0.0022943646,0.00040032764,0.000023909208,0.000010612248,0.000015783167,0.0000054337274,0.0006234134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993892,0.0000096096555,0.00026884305,0.00018714863,0.000017334518,0.00012791736],"domain_scores_gemma":[0.9995041,0.000010771083,0.000095803414,0.00020269326,0.000043824468,0.00014281868],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003045668,0.00005633135,0.00012681536,0.000108252905,0.0000426835,0.000031070995,0.00008288035,0.000036983256,0.0011054723],"category_scores_gemma":[0.00003578482,0.00006128496,0.000013480861,0.00014409215,0.000024636674,0.00016382955,0.000013525917,0.000036557383,0.0000037927086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5202613e-7,0.000099459445,0.5157384,0.0000032099015,0.0000031766033,3.5510647e-7,0.0002464192,0.0000025164657,0.000003446169,0.47113904,0.000019887395,0.012743428],"study_design_scores_gemma":[0.00011580682,0.00003842917,0.8819695,0.0000037558273,0.0000010904896,0.0000027735073,0.000358926,0.0023014199,0.000007041215,0.05262472,0.062439453,0.00013708051],"about_ca_topic_score_codex":0.10362238,"about_ca_topic_score_gemma":0.05786276,"teacher_disagreement_score":0.41851434,"about_ca_system_score_codex":0.00010217696,"about_ca_system_score_gemma":0.000112539135,"threshold_uncertainty_score":0.99980766},"labels":[],"label_agreement":null},{"id":"W2248288405","doi":"10.2139/ssrn.2714577","title":"Experimenting with Entrepreneurship: The Effect of Job-Protected Leave","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Entrepreneurship; Business; Business administration; Demographic economics; Labour economics; Psychology; Economics","score_opus":0.008287038476074808,"score_gpt":0.2050024855004939,"score_spread":0.1967154470244191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248288405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503387,0.0019395468,0.010322466,0.00083040877,0.00011965816,0.0001729544,0.000011864034,0.000014852791,0.0015544079],"genre_scores_gemma":[0.9983556,0.0005961759,0.000028449156,0.000020392523,0.00011207677,0.000012594852,5.7282267e-7,0.000022234726,0.00085184805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980622,0.00010858483,0.00045177006,0.00022343938,0.000067950976,0.0010860407],"domain_scores_gemma":[0.998916,0.00018570111,0.0005212246,0.0002936775,0.00004017799,0.000043221582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033086867,0.00014678382,0.00029815594,0.00008505717,0.00013679126,0.00004147799,0.00031742718,0.000054093405,0.00007892627],"category_scores_gemma":[0.00020906853,0.00007532013,0.000122034755,0.00017684698,0.00007473699,0.00013816784,0.00004134961,0.0005240354,0.000021438631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027727487,0.000026279435,0.33458498,0.000011536042,0.00030093576,0.000002655669,0.0001443911,0.000008868158,0.0012513227,0.652956,0.0000068807403,0.010428867],"study_design_scores_gemma":[0.0059545967,0.0033095852,0.0376658,0.000150021,0.00005973222,0.00026791412,0.00036000297,0.00015823581,0.010129818,0.9395949,0.0016622066,0.0006871453],"about_ca_topic_score_codex":0.00010601215,"about_ca_topic_score_gemma":0.00012716143,"teacher_disagreement_score":0.2969192,"about_ca_system_score_codex":0.00031853214,"about_ca_system_score_gemma":0.00012748803,"threshold_uncertainty_score":0.30714658},"labels":[],"label_agreement":null},{"id":"W2252787487","doi":"","title":"Influences intergénérationnelles sur la perception de prestations d'assurance-chômage au Canada et en Suède","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.019714586995665754,"score_gpt":0.28208912629696664,"score_spread":0.2623745393013009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252787487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83679056,0.00024161632,0.00009742231,0.0031604802,0.0008554951,0.0006530495,0.0020901812,0.00002533708,0.15608588],"genre_scores_gemma":[0.94105554,0.047021467,0.0012464541,0.00028389913,0.0003686386,0.00031719852,0.00041127202,0.00009632408,0.009199201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9936034,0.0013948157,0.0019985905,0.0014671391,0.00018651,0.0013495227],"domain_scores_gemma":[0.9936512,0.0040854947,0.0006382648,0.0011173682,0.00018284858,0.00032483676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007379219,0.0005501488,0.001008411,0.0005956224,0.00037097497,0.0005262972,0.0011230666,0.000763962,0.0009747979],"category_scores_gemma":[0.0024749755,0.00076312514,0.00027320234,0.00032403122,0.00048327376,0.00058313203,0.00054113846,0.0022332943,0.000040142335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00021475363,0.0005288881,0.5184119,0.0006169678,0.0003368163,0.000093362156,0.006744298,0.25537536,0.000029954628,0.13660116,0.00030349588,0.080743074],"study_design_scores_gemma":[0.0007683061,0.00006621649,0.80844295,0.0004374121,0.000013248528,0.00001675755,0.0014241257,0.054806735,0.0000052146884,0.03064457,0.10245206,0.0009223861],"about_ca_topic_score_codex":0.5894877,"about_ca_topic_score_gemma":0.92838466,"teacher_disagreement_score":0.338897,"about_ca_system_score_codex":0.0081927655,"about_ca_system_score_gemma":0.0067147315,"threshold_uncertainty_score":0.9999384},"labels":[],"label_agreement":null},{"id":"W2252948087","doi":"10.7208/chicago/9780226470511.003.0007","title":"Wage Structure and Firm Productivity in Belgium","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission; London School of Economics and Political Science","keywords":"Productivity; Labour economics; Wage; Wage dispersion; Economics; Efficiency wage; Collective bargaining; Wage bargaining; Private sector; Wage inequality; Economic growth","score_opus":0.017921853291007928,"score_gpt":0.20058219029740565,"score_spread":0.18266033700639772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252948087","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050853584,0.0028557768,0.000048002876,0.0010608486,0.00040997268,0.00041471355,0.0011087961,0.000042967404,0.94320536],"genre_scores_gemma":[0.5434924,0.000641786,0.0003246311,0.0002795382,0.00021820069,0.0000027937622,0.00007938201,0.000046317276,0.45491496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831593,0.0000068172108,0.00061883085,0.0007673631,0.00003970985,0.00025136682],"domain_scores_gemma":[0.9990422,0.00003162761,0.00032612807,0.00050156075,0.000026274101,0.000072176015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045917343,0.0003242501,0.0007087193,0.00025765927,0.000043599477,0.00006992164,0.0001684359,0.00041506233,0.0009445731],"category_scores_gemma":[0.000053101037,0.0003468488,0.00008402761,0.00005063615,0.0000610379,0.00013838122,0.00009591412,0.0004778525,0.00003399454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010759784,0.000017761591,0.0049108034,0.00004180749,0.000023302835,0.000013410719,0.000045937788,0.000002551569,0.0000014195444,0.98706377,0.00017493611,0.0076935226],"study_design_scores_gemma":[0.00023631207,0.000034755507,0.028574402,0.000025885918,0.0000045440956,0.000003867699,0.000001171652,0.00009528822,0.0000023933428,0.82200605,0.14857127,0.0004440882],"about_ca_topic_score_codex":0.00022394425,"about_ca_topic_score_gemma":0.00077924697,"teacher_disagreement_score":0.4926388,"about_ca_system_score_codex":0.000116029856,"about_ca_system_score_gemma":0.000019897523,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W2260244338","doi":"10.1108/ijm-02-2014-0050","title":"What factors influence firm perceptions of labour market constraints to growth in the MENA region?","year":2015,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Labour economics; Estimation; Human capital; Investment (military); Originality; Economic shortage; Value (mathematics); Labour supply; Economic growth; Government (linguistics)","score_opus":0.031975937346261675,"score_gpt":0.27361288056803423,"score_spread":0.24163694322177257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260244338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98833036,0.00012177361,0.0007909723,0.0053486223,0.0012692659,0.000079730235,0.00009345197,0.0000024066148,0.0039633987],"genre_scores_gemma":[0.9982868,0.00023089454,0.00019898296,0.0008638141,0.000087775166,0.0000021187584,0.0000025975546,0.0000073557185,0.00031965628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872994,0.000056383262,0.0007790411,0.00012477906,0.00018539693,0.0001244629],"domain_scores_gemma":[0.9985497,0.00014983914,0.00053496106,0.00013928126,0.0005419743,0.000084245425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016077895,0.000095405645,0.00023292511,0.0003214268,0.000016953089,0.00012683308,0.00068443984,0.000050659783,0.00032105192],"category_scores_gemma":[0.00075476227,0.00007522308,0.00010551569,0.00018325118,0.00007496883,0.0006177643,0.000064091735,0.00018055721,0.000016600638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013622749,0.00024647758,0.8156199,0.000009250532,0.00011246989,0.00007206922,0.0054727555,0.00023560588,0.000012629515,0.17521624,0.002519713,0.00034668556],"study_design_scores_gemma":[0.0007455569,0.000106225896,0.89272517,0.00008975237,0.0000039092574,0.00006311415,0.0033544651,0.000067631125,0.000009115936,0.09391552,0.008782724,0.00013680995],"about_ca_topic_score_codex":0.00015858383,"about_ca_topic_score_gemma":0.000039376893,"teacher_disagreement_score":0.08130072,"about_ca_system_score_codex":0.00014264064,"about_ca_system_score_gemma":0.000050224866,"threshold_uncertainty_score":0.35152936},"labels":[],"label_agreement":null},{"id":"W2261451199","doi":"","title":"Wage Mobility in Europe - A Comparative Analysis Using Restricted Multinomial Logit Regression","year":2009,"lang":"en","type":"preprint","venue":"Tilburg University Research Portal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for International Peace and Security","funders":"","keywords":"Multinomial logistic regression; Wage; Economics; Multinomial probit; Probit; Econometrics; Labor mobility; Logit; Welfare; Panel data; Ordered probit; Labour economics; Probit model; Demographic economics; Statistics; Mathematics","score_opus":0.1738834747849545,"score_gpt":0.3547413133367277,"score_spread":0.1808578385517732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261451199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634366,0.00022096939,0.00064274,0.0001051215,0.00014132058,0.00068722124,0.0013604804,0.000052711857,0.03335284],"genre_scores_gemma":[0.99716794,0.0003469213,0.00069066504,0.000011695071,0.0000741629,0.0000018431801,0.00050203194,0.000016081038,0.001188677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958164,0.00075392175,0.0009028806,0.0014476003,0.00027659955,0.00080259115],"domain_scores_gemma":[0.9970621,0.00024923848,0.0006842087,0.0011641299,0.00056991447,0.00027042918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035760226,0.000377966,0.0013519666,0.0025861256,0.00029533825,0.00016262213,0.0010279557,0.00054551725,0.00050928805],"category_scores_gemma":[0.0005004183,0.0004505471,0.00036633498,0.0045268484,0.0003346041,0.0002711568,0.0015550762,0.0022398545,0.00004323029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020206566,0.0033830735,0.8371418,0.00023131822,0.0019121899,0.0045125005,0.003662703,0.039516844,0.00015551274,0.10565458,0.001118702,0.0006901269],"study_design_scores_gemma":[0.001806871,0.00015407364,0.76229167,0.00016858676,0.00013681909,0.0000027710937,0.0010421218,0.21464789,0.000019265684,0.015478825,0.0031222873,0.0011287964],"about_ca_topic_score_codex":0.012511698,"about_ca_topic_score_gemma":0.0016910984,"teacher_disagreement_score":0.17513105,"about_ca_system_score_codex":0.00078251935,"about_ca_system_score_gemma":0.00039358134,"threshold_uncertainty_score":0.9997946},"labels":[],"label_agreement":null},{"id":"W2262139197","doi":"","title":"Occupational Switching and Self-Discovery in the Labor Market","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"National Longitudinal Surveys; Human capital; Earnings; Wage; Context (archaeology); Labour economics; Vocational education; Occupational segregation; Quality (philosophy); Economics; Demographic economics","score_opus":0.04286613087764628,"score_gpt":0.3050265091262105,"score_spread":0.2621603782485642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262139197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9021772,0.0007976975,0.000010467043,0.0010152657,0.00041870013,0.00067004643,0.0007434072,0.000022350745,0.094144866],"genre_scores_gemma":[0.9881667,0.009745296,0.00051319646,0.000325678,0.0002350589,0.00020634911,0.00009607033,0.000051281895,0.00066035753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647087,0.00037146526,0.0012082639,0.0010971227,0.00013815916,0.0007141283],"domain_scores_gemma":[0.9974372,0.0008846982,0.00041239514,0.0010469743,0.00008998841,0.00012878557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012795408,0.00033330187,0.000721509,0.0007004955,0.00013217528,0.000624256,0.00092036516,0.00044000815,0.000060826682],"category_scores_gemma":[0.0010490525,0.0003336933,0.00012254014,0.00027290938,0.00012883867,0.00033052947,0.0010772498,0.0018625283,0.000010417149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027797898,0.00067584706,0.77892494,0.00040278194,0.00016493787,0.00007833768,0.002943198,0.0021078906,0.0000017479907,0.20066793,0.0003005356,0.01345389],"study_design_scores_gemma":[0.0012410246,0.00006824752,0.5069084,0.00012825114,0.000005570927,0.000010900249,0.0007735154,0.050180238,7.1391634e-7,0.4143105,0.025628887,0.00074376434],"about_ca_topic_score_codex":0.0008457256,"about_ca_topic_score_gemma":0.0013075279,"teacher_disagreement_score":0.2720165,"about_ca_system_score_codex":0.001011437,"about_ca_system_score_gemma":0.00051886594,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W2264108365","doi":"","title":"The Cost of Vertical Mismatch in Canadian Labour Markets: How Big is It?","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Warrant; Census; Economics; Labour economics; Sample (material); Educational attainment; Demographic economics; Economic growth; Sociology","score_opus":0.06302656598004991,"score_gpt":0.3028186198155215,"score_spread":0.23979205383547159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264108365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84993434,0.00094906014,0.0000038085823,0.014193413,0.0011317718,0.0010481216,0.0020436,0.000010569729,0.13068533],"genre_scores_gemma":[0.9790366,0.016610635,0.00007721043,0.00033737617,0.00015694495,0.00019527457,0.00006366423,0.000071479495,0.0034507732],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99547553,0.000305051,0.0014861777,0.0010692179,0.0001466661,0.0015173836],"domain_scores_gemma":[0.99633074,0.0008335757,0.00034140245,0.0016760842,0.00023635743,0.0005818331],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011963666,0.00037173598,0.0010236709,0.00091152114,0.00015748598,0.0003685256,0.0014826747,0.00072710507,0.00014173545],"category_scores_gemma":[0.0028010844,0.00038805144,0.00021897948,0.00040093096,0.0004382394,0.00010561337,0.00089828984,0.0019450337,0.000029334537],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050178904,0.00044125682,0.6625287,0.000688527,0.00040320575,0.00013789564,0.0022560775,0.0016720041,0.000004446693,0.22718741,0.0021577645,0.10202093],"study_design_scores_gemma":[0.0018762494,0.00009381795,0.16944288,0.00031894253,0.0000072066105,0.0000059608547,0.001421673,0.044880908,0.000019978153,0.2145994,0.56613225,0.0012007334],"about_ca_topic_score_codex":0.11993966,"about_ca_topic_score_gemma":0.48876187,"teacher_disagreement_score":0.5639745,"about_ca_system_score_codex":0.0034717945,"about_ca_system_score_gemma":0.001969219,"threshold_uncertainty_score":0.9998571},"labels":[],"label_agreement":null},{"id":"W2264140500","doi":"","title":"Understanding the productivity slowdown The importance of entry and exit of workers","year":2015,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Microdata (statistics); Productivity; Norwegian; Economics; Labour economics; Quarter (Canadian coin); Demographic economics; Macroeconomics; Geography; Economic growth","score_opus":0.06989371106979647,"score_gpt":0.24652896261600618,"score_spread":0.1766352515462097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264140500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537628,0.0074744932,0.000985122,0.0016802333,0.0023029617,0.0008016662,0.0011792871,0.000029952094,0.031783476],"genre_scores_gemma":[0.99797076,0.00088160374,0.00020663021,0.000095860065,0.00024212155,0.00005033286,0.00002401526,0.000044315133,0.00048436652],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968361,0.00015555041,0.0015614595,0.00089535007,0.00013094171,0.00042059968],"domain_scores_gemma":[0.99511176,0.0004921235,0.0025305324,0.0016025397,0.00013616067,0.00012686451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004816867,0.00043488838,0.0011791949,0.00029681798,0.00018901755,0.00009804115,0.0008023967,0.00035917026,0.00022581647],"category_scores_gemma":[0.0006751126,0.0003417065,0.0003130634,0.00036383286,0.0012756949,0.00017925788,0.00075939007,0.000856292,0.000010642024],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042917243,0.000073904936,0.8614252,0.0002059539,0.0002695175,0.0000021431817,0.0006743435,0.00012331632,0.0000032838768,0.13509458,0.002023913,0.00006087991],"study_design_scores_gemma":[0.00092892605,0.00007918465,0.39751285,0.00027779903,0.00011313412,0.00002343826,0.0015283617,0.001524977,0.00003458066,0.5934595,0.0036172494,0.00090000127],"about_ca_topic_score_codex":0.00041348883,"about_ca_topic_score_gemma":0.0004609581,"teacher_disagreement_score":0.4639124,"about_ca_system_score_codex":0.0004175615,"about_ca_system_score_gemma":0.00034772357,"threshold_uncertainty_score":0.9999035},"labels":[],"label_agreement":null},{"id":"W2266045336","doi":"","title":"Essays in labor market economics","year":2015,"lang":"en","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Unemployment; Humanities; Welfare economics; Persona; Geography; Economics; Economy; Philosophy; Economic growth","score_opus":0.024089836570794033,"score_gpt":0.24404096210702023,"score_spread":0.2199511255362262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266045336","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24766155,0.002010949,0.000104752355,0.0042277207,0.003195913,0.0006532036,0.0012827823,0.00018204587,0.7406811],"genre_scores_gemma":[0.98878163,0.0012246707,0.00094115187,0.00021721162,0.0005993856,0.0004273502,0.002082156,0.00014673133,0.005579717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954621,0.00022190508,0.001882778,0.0013086166,0.00022052594,0.0009040586],"domain_scores_gemma":[0.99669075,0.00018971022,0.0013202229,0.0009292353,0.00038657992,0.00048349783],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0024044435,0.0007207995,0.0012655732,0.0010643675,0.00025943323,0.00035163594,0.0009532289,0.0013444643,0.00028484006],"category_scores_gemma":[0.0009917066,0.0008719865,0.00033683024,0.000793411,0.000015491618,0.0005272237,0.00015585845,0.0011379758,0.000065603934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003272001,0.000412588,0.0029787081,0.00020925465,0.00014250902,0.000091417,0.001089294,0.00006441777,0.000010803183,0.9922979,0.0015559449,0.0008199913],"study_design_scores_gemma":[0.0014052133,0.00004619675,0.018620137,0.00015550427,0.000031800486,0.00007088283,0.0003908011,0.0013006821,0.000017234686,0.10126646,0.87569636,0.0009986976],"about_ca_topic_score_codex":0.00001834944,"about_ca_topic_score_gemma":0.00262577,"teacher_disagreement_score":0.8910314,"about_ca_system_score_codex":0.0018737833,"about_ca_system_score_gemma":0.0008529359,"threshold_uncertainty_score":0.999952},"labels":[],"label_agreement":null},{"id":"W2266122045","doi":"10.1111/j.0008-4085.2006.00338.x","title":"Demand for skills in Canada: the role of foreign outsourcing and information‐communication technology","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Outsourcing; Information and Communications Technology; Business; Wage; Information technology; Labour economics; Labor demand; Telecommunications equipment; Industrial organization; Economics; Marketing; Engineering; Telecommunications","score_opus":0.02633688688343106,"score_gpt":0.15143478951452735,"score_spread":0.1250979026310963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266122045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933381,0.001429507,0.00029588942,0.002010992,0.0001490197,0.00026184763,0.0005680931,0.0000014317643,0.0019451092],"genre_scores_gemma":[0.9990066,0.00016169695,0.0005198704,0.00018219902,0.000055534038,0.00001863244,0.000017949547,0.0000151751665,0.000022296092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817294,0.000019409372,0.001298186,0.00013862475,0.0000014882123,0.0003693694],"domain_scores_gemma":[0.99803096,0.00018818026,0.0011309647,0.00031533538,0.0001244437,0.00021011436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011045035,0.00013802489,0.0004899854,0.00064071233,0.000101701706,0.000057283265,0.00042675986,0.000112607595,0.000018684957],"category_scores_gemma":[0.00024206229,0.00015295096,0.00007544181,0.0001524422,0.00010317924,0.0004942805,0.000023501989,0.00018994216,7.258528e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009162975,0.000003346516,0.19785218,0.000015946225,0.000023179948,0.0000011695025,0.00021956737,0.005009742,5.626863e-7,0.7957109,0.000019679115,0.0011345133],"study_design_scores_gemma":[0.00052442634,0.00004319883,0.036207266,0.000035290974,0.000007958237,0.00003608884,0.00096755667,0.0072816415,0.000030240457,0.94090986,0.013781068,0.00017541197],"about_ca_topic_score_codex":0.96637803,"about_ca_topic_score_gemma":0.9996093,"teacher_disagreement_score":0.16164492,"about_ca_system_score_codex":0.0016574045,"about_ca_system_score_gemma":0.0014833342,"threshold_uncertainty_score":0.62371594},"labels":[],"label_agreement":null},{"id":"W2267118937","doi":"","title":"Can Continuous Training Reduce the Gender Wage Gap","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; HEC Montréal","funders":"","keywords":"Training (meteorology); Wage; Order (exchange); Labour economics; Set (abstract data type); Selection (genetic algorithm); Economics; Training set; Gender gap; Demographic economics; Computer science; Finance; Geography; Artificial intelligence","score_opus":0.03332540707303206,"score_gpt":0.2386605494053729,"score_spread":0.20533514233234085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267118937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690531,0.0013963337,0.0020204254,0.0051180427,0.0011811451,0.00012624664,0.000044087334,0.000027882852,0.021032732],"genre_scores_gemma":[0.99575585,0.0009784593,0.00009346805,0.00039779575,0.00069287803,0.00000678353,0.0000048599504,0.000033761375,0.0020361706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972333,0.00004374989,0.0005599862,0.00027490783,0.00006601102,0.0018220952],"domain_scores_gemma":[0.99901253,0.00007203188,0.00040594235,0.00035560597,0.00005469193,0.00009921231],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005386903,0.00016879792,0.00030560783,0.00009711275,0.00036799067,0.00017636648,0.0005155217,0.00011505619,0.00018469611],"category_scores_gemma":[0.0002474635,0.00013713898,0.00017190847,0.00018607391,0.000080440324,0.00013187918,0.000044704204,0.0029091868,0.00004676908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011128421,0.000030745807,0.005347869,0.0000016871244,0.0000994401,0.00000344071,0.0006563837,0.0000055354344,0.00014449102,0.98666984,0.00004913823,0.00698028],"study_design_scores_gemma":[0.00044994478,0.000053351756,0.006035943,0.0000024378432,0.000009808818,0.00025233993,0.0011659622,0.00028829218,0.000010069374,0.9810483,0.010461343,0.00022221386],"about_ca_topic_score_codex":0.00028654246,"about_ca_topic_score_gemma":0.0020703762,"teacher_disagreement_score":0.026702719,"about_ca_system_score_codex":0.00027911415,"about_ca_system_score_gemma":0.0005762759,"threshold_uncertainty_score":0.99939114},"labels":[],"label_agreement":null},{"id":"W2267600955","doi":"","title":"Mesure de la production economique du secteur de l'education dans les comptes nationaux","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.030148432315166986,"score_gpt":0.29678496961749246,"score_spread":0.26663653730232545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267600955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8814535,0.0015354956,0.0001980741,0.0028824916,0.0022627045,0.0009325995,0.00048734323,0.000048429934,0.11019938],"genre_scores_gemma":[0.9446741,0.043889556,0.0028362058,0.00013695227,0.001687722,0.000538679,0.00039884876,0.00014435838,0.005693611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993688,0.0014825942,0.0017595163,0.0015459707,0.000102426704,0.0014215116],"domain_scores_gemma":[0.99569577,0.0014109153,0.00097284734,0.0012653486,0.00027612335,0.00037898554],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.016852943,0.0005797172,0.000996767,0.0008510352,0.0004911917,0.00047378583,0.0010001679,0.0013296895,0.0005032364],"category_scores_gemma":[0.002809976,0.0008272826,0.00036124414,0.00030058145,0.00072108174,0.00048175483,0.0006659242,0.002558992,0.000068050256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067904635,0.0008810272,0.69094473,0.0003770482,0.00017299781,0.0000051790994,0.0029677171,0.018343411,0.00006201539,0.23330992,0.00011289959,0.052755125],"study_design_scores_gemma":[0.00051530957,0.000048196496,0.7536131,0.0002438509,0.000020322286,0.0000695681,0.0011247697,0.026108839,0.000099931785,0.123238884,0.09400697,0.0009102255],"about_ca_topic_score_codex":0.0023967917,"about_ca_topic_score_gemma":0.0029012882,"teacher_disagreement_score":0.11007103,"about_ca_system_score_codex":0.008273086,"about_ca_system_score_gemma":0.0019180308,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W2267787689","doi":"","title":"Worker Reallocation in Canada","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Labour economics; Demographic economics; Business; Economics; Geography","score_opus":0.035654216474700365,"score_gpt":0.26898080509329453,"score_spread":0.23332658861859418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267787689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8340844,0.0004112079,0.0000067483497,0.00087068847,0.00084525446,0.0007422111,0.00029290142,0.00001481417,0.16273177],"genre_scores_gemma":[0.98773676,0.008708121,0.00027685694,0.00018315895,0.00014504239,0.0003912234,0.00015803975,0.00007282509,0.0023279658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957986,0.00016538854,0.0016718314,0.0012579958,0.00010876163,0.0009974631],"domain_scores_gemma":[0.9974634,0.00037765392,0.0005000986,0.0013570711,0.00009552649,0.00020622752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033692745,0.00034998,0.0009120685,0.0007255995,0.000075587,0.00019538552,0.00091492356,0.00045452008,0.00043217724],"category_scores_gemma":[0.00048936973,0.00045142442,0.00012209854,0.00029798198,0.000103405524,0.00015602981,0.00088688364,0.0019523922,0.000052239848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006530507,0.00021694376,0.7795951,0.00026600342,0.00010606827,0.000059437498,0.00033760708,0.02105595,0.0000026928174,0.10661979,0.000255076,0.09142008],"study_design_scores_gemma":[0.001011093,0.000032874035,0.55936193,0.0002935336,0.0000028235343,0.000002771689,0.00044957816,0.08538107,0.000004891832,0.31487396,0.037375703,0.0012097596],"about_ca_topic_score_codex":0.8708623,"about_ca_topic_score_gemma":0.92789775,"teacher_disagreement_score":0.22023313,"about_ca_system_score_codex":0.007598058,"about_ca_system_score_gemma":0.001968307,"threshold_uncertainty_score":0.99979377},"labels":[],"label_agreement":null},{"id":"W2271798596","doi":"10.1086/705903","title":"Opening the Black Box of the Matching Function: The Power of Words","year":2015,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Matching (statistics); Spurious relationship; Variance (accounting); Wage; Labour economics; Economics; Function (biology); Econometrics; Mathematics; Statistics","score_opus":0.030390837003923366,"score_gpt":0.22826370769093732,"score_spread":0.19787287068701395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271798596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858999,0.0008533255,0.00059185625,0.0042733746,0.0016461811,0.00011838556,0.00011053685,0.0000021691403,0.0065042684],"genre_scores_gemma":[0.9985135,0.00021425147,0.00022427928,0.0005204711,0.00020267512,0.000001248075,6.101434e-7,0.000019018897,0.00030391972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821836,0.00007279498,0.0013537705,0.0001266136,0.00005991173,0.00016855772],"domain_scores_gemma":[0.99653697,0.00021363504,0.0024517723,0.000528098,0.00020798648,0.000061524646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039077085,0.00012692007,0.0004567014,0.000072938594,0.000087785345,0.00008132092,0.00082764495,0.00007383669,0.00009852892],"category_scores_gemma":[0.00026215706,0.00007263451,0.00025810458,0.00023141834,0.00016726356,0.00028428665,0.00016630736,0.00033508497,0.00000874931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002322185,0.00011866025,0.12755428,0.000029826862,0.0004259825,0.0000019353124,0.0067663062,0.016855178,0.000024003039,0.8465611,0.00091739564,0.00051314814],"study_design_scores_gemma":[0.0021314828,0.00030531661,0.14850341,0.00009807416,0.000097369164,0.000059926257,0.007905893,0.0030284214,0.00019233038,0.7561735,0.08111245,0.00039181754],"about_ca_topic_score_codex":0.00010733143,"about_ca_topic_score_gemma":0.000036694753,"teacher_disagreement_score":0.09038755,"about_ca_system_score_codex":0.00011178647,"about_ca_system_score_gemma":0.0001468862,"threshold_uncertainty_score":0.29619494},"labels":[],"label_agreement":null},{"id":"W2272916372","doi":"","title":"Entrepreneurs et Salariés en Algérie : application d’un probit bivarié par genre et par secteur","year":2009,"lang":"fr","type":"article","venue":"les cahiers du cread","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.00834811508248478,"score_gpt":0.21334680748221352,"score_spread":0.20499869239972873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272916372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9047476,0.005285884,0.037947178,0.0318655,0.0010197372,0.00092395814,0.0013730743,0.00016449188,0.016672581],"genre_scores_gemma":[0.9804584,0.006744479,0.003793662,0.00463816,0.00035502418,0.00007996401,0.00061356346,0.00008021786,0.0032365713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99637157,0.00037158892,0.0011635108,0.0011817006,0.000127775,0.0007838712],"domain_scores_gemma":[0.9974536,0.00032118222,0.0008050987,0.0010425921,0.00011970779,0.00025786005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002181235,0.0005325726,0.0007959543,0.00024716224,0.00033769582,0.00031542333,0.0005881127,0.00081714237,0.00034854986],"category_scores_gemma":[0.00043960178,0.0006751065,0.00032986456,0.0006054424,0.0002522492,0.00048589436,0.00010689236,0.00096113945,0.000255327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006996577,0.0006112003,0.1321123,0.00010863775,0.00016705971,0.00004574663,0.0032878218,0.00032636285,0.00014849323,0.81761247,0.0007424076,0.044767525],"study_design_scores_gemma":[0.0015050865,0.00030944133,0.48550332,0.00008300164,0.00010924498,0.000044598197,0.00024209819,0.0070947553,0.0002952952,0.3331135,0.170402,0.0012976938],"about_ca_topic_score_codex":0.0011869476,"about_ca_topic_score_gemma":0.00024046306,"teacher_disagreement_score":0.484499,"about_ca_system_score_codex":0.00038737466,"about_ca_system_score_gemma":0.00008440687,"threshold_uncertainty_score":0.99957},"labels":[],"label_agreement":null},{"id":"W2274894926","doi":"","title":"Neue Methoden zur Eignungsberatung an Hochschulen – Eine experimentelle Analyse eines webbasierten Self-Assessments [New Methods to Advise Students - A Field Experimental Approach to Test an Online Self-Assessment]","year":2014,"lang":"de","type":"article","venue":"MPRA Paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Self-assessment; Drop out; Test (biology); German; Quarter (Canadian coin); Medical education; Applied psychology; Social psychology; Medicine","score_opus":0.04405439613388005,"score_gpt":0.37782517739956123,"score_spread":0.33377078126568116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274894926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8971165,0.0026453645,0.08714242,0.0010866525,0.0023975216,0.0026015555,0.0007211976,0.00040790698,0.005880885],"genre_scores_gemma":[0.50437653,0.00024241113,0.48754525,0.004676558,0.0012740132,0.00029853336,0.0004467092,0.00021884021,0.00092112937],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9906581,0.0014315317,0.002574979,0.00313956,0.0005811771,0.0016146338],"domain_scores_gemma":[0.9930714,0.00074241805,0.0008859077,0.0028744393,0.00026524058,0.0021606307],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0053656823,0.0013970572,0.002349525,0.0008824661,0.00057887007,0.0014614027,0.0024278362,0.0006471378,0.0008145218],"category_scores_gemma":[0.00040443576,0.0015420637,0.0004916965,0.0015335453,0.0000354839,0.0015885754,0.001352925,0.0008341418,0.00018903705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022626137,0.15375715,0.5968371,0.0009983296,0.013415196,0.00017485504,0.046503168,0.004610022,0.06284257,0.054614868,0.009106729,0.0548774],"study_design_scores_gemma":[0.01959839,0.025416315,0.22775538,0.0003871381,0.0025910565,0.00004067594,0.009340641,0.4753317,0.009926475,0.005724158,0.21129721,0.012590855],"about_ca_topic_score_codex":0.0019707899,"about_ca_topic_score_gemma":0.00018002551,"teacher_disagreement_score":0.47072166,"about_ca_system_score_codex":0.0009926806,"about_ca_system_score_gemma":0.00030625457,"threshold_uncertainty_score":0.999878},"labels":[],"label_agreement":null},{"id":"W2280416747","doi":"10.1177/0020715215587772","title":"Work experience during higher education and post-graduation occupational outcomes: A comparative study on four European countries","year":2015,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Employability; Unemployment; Higher education; Work experience; Typology; Vocational education; Work (physics); Demographic economics; Empirical research; Flexibility (engineering); Labour economics; Psychology; Political science; Sociology; Economics; Economic growth; Pedagogy; Management","score_opus":0.15381952347396657,"score_gpt":0.3779868875649412,"score_spread":0.22416736409097462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280416747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271584,0.0002387645,0.00038032464,0.0016286173,0.0018135073,0.00014908749,0.00005315271,0.000008417741,0.0030123014],"genre_scores_gemma":[0.99863607,0.000010893204,0.00019233182,0.00048088847,0.00030544226,0.0000106823745,0.000016321686,0.0000079121855,0.0003394557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847174,0.0002561818,0.0007781756,0.00021333249,0.0001592151,0.000121332414],"domain_scores_gemma":[0.99770844,0.00022854151,0.00095222704,0.00010465567,0.0009149723,0.00009116815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082032045,0.00015367131,0.00043340682,0.00024441944,0.00007822542,0.000080795515,0.00028681598,0.000043895474,0.00007340572],"category_scores_gemma":[0.00010355154,0.00014064701,0.000074128395,0.000076961056,0.00017025434,0.00032655182,0.000063285115,0.00021089359,0.000057606117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051474693,0.0004907919,0.8144478,0.0000017218194,0.0002930718,0.000011365993,0.03308525,0.00017565863,0.00001074495,0.15073587,0.00020293215,0.000030035657],"study_design_scores_gemma":[0.0013148279,0.00032112098,0.9621888,0.000016104055,0.000006917302,0.000012491283,0.004679153,0.000026022473,0.000005350769,0.030206123,0.0010846087,0.00013849254],"about_ca_topic_score_codex":0.000023575536,"about_ca_topic_score_gemma":0.0000050427234,"teacher_disagreement_score":0.14774098,"about_ca_system_score_codex":0.00025183926,"about_ca_system_score_gemma":0.000091077134,"threshold_uncertainty_score":0.5735419},"labels":[],"label_agreement":null},{"id":"W2281591984","doi":"10.56105/cjsae.v23i1.30","title":"Education and Jobs: Exploring the Gaps, by D. W. Livingstone (Ed.)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal for the Study of Adult Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sociology","score_opus":0.024740850414741666,"score_gpt":0.2577376685237494,"score_spread":0.23299681810900774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281591984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97362185,0.0136690615,0.00016756587,0.0065158703,0.00496086,0.0004096582,0.000088281515,0.0000046058008,0.00056225737],"genre_scores_gemma":[0.9968329,0.0008571085,0.00003614123,0.00020774786,0.000382575,0.00010704029,0.0000071174322,0.00001646734,0.0015528987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992742,0.00002323103,0.00035311133,0.00015754368,0.00003130031,0.00016061543],"domain_scores_gemma":[0.9992424,0.00015091861,0.00015280074,0.00018678373,0.0001339592,0.00013308674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078881404,0.00008623712,0.00012261649,0.00015008447,0.0005104726,0.00029267702,0.00020450437,0.000023668255,0.00004075334],"category_scores_gemma":[0.00028949397,0.000063620195,0.000050571405,0.00018375834,0.000043622298,0.0002231302,0.000008927201,0.00016309382,0.000005021377],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021941609,0.0006266897,0.11776781,0.0002484894,0.00045753078,9.638069e-7,0.06298097,0.000037929774,0.000015648684,0.45735332,0.11243711,0.24805161],"study_design_scores_gemma":[0.0005280983,0.000508077,0.21812943,0.00035592951,0.00015127297,0.000067814406,0.08792292,0.0014535693,0.00001916472,0.149575,0.5407525,0.0005362815],"about_ca_topic_score_codex":0.021893147,"about_ca_topic_score_gemma":0.0118294265,"teacher_disagreement_score":0.42831534,"about_ca_system_score_codex":0.00014945959,"about_ca_system_score_gemma":0.00054327515,"threshold_uncertainty_score":0.98462015},"labels":[],"label_agreement":null},{"id":"W2282990450","doi":"10.1126/science.1163088","title":"For Equality, Education Matters","year":2008,"lang":"en","type":"article","venue":"Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perspective (graphical); Race (biology); Human capital; Inequality; Affect (linguistics); Sociology; Capital (architecture); Economics; Neoclassical economics; Positive economics; Political science; Economic growth; Gender studies; History; Art; Mathematics","score_opus":0.055580923795024516,"score_gpt":0.2804228934118043,"score_spread":0.2248419696167798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282990450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499098,0.0002333823,0.019821247,0.0058785533,0.001465509,0.00024613223,0.0001100269,0.00003432968,0.022301026],"genre_scores_gemma":[0.9915925,0.00002960766,0.0031014627,0.0032423206,0.00006467072,0.00002545344,0.0000046795753,0.0000056023932,0.0019336842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921113,0.0000040469968,0.00024253032,0.00029209428,0.000040299296,0.00020990278],"domain_scores_gemma":[0.9994753,0.000028264189,0.000120054036,0.00024672778,0.00006347964,0.00006616261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011676174,0.00005466681,0.00010914379,0.000117961135,0.00025327667,0.000047661313,0.0002963196,0.000021375941,0.000054937933],"category_scores_gemma":[0.00015696068,0.000060245926,0.000040414307,0.00035863233,0.00022512616,0.00028731072,0.000044111443,0.000033464974,0.00009345525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032993662,0.0000578221,0.033969987,0.000012512568,0.0000018003504,1.5318702e-7,0.00023913226,0.0000062142467,0.00012916443,0.9635417,0.0010566881,0.0009815601],"study_design_scores_gemma":[0.00024993857,0.000040724146,0.14653145,0.000007098183,0.0000012416399,0.0000068563313,0.00006350818,0.0022449705,0.00021371953,0.6583896,0.19196478,0.00028611568],"about_ca_topic_score_codex":0.0001129529,"about_ca_topic_score_gemma":0.0000060667894,"teacher_disagreement_score":0.30515206,"about_ca_system_score_codex":0.000085419946,"about_ca_system_score_gemma":0.00013991582,"threshold_uncertainty_score":0.24567576},"labels":[],"label_agreement":null},{"id":"W2286505751","doi":"","title":"A closer look at the German labor market 'miracle'","year":2014,"lang":"en","type":"article","venue":"Business review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Recession; Economics; German; Miracle; Quarter (Canadian coin); Fell; Labour economics; Wonder; Keynesian economics; Demographic economics; Economic history; Political science; Macroeconomics; Geography; Cartography","score_opus":0.021063535481686588,"score_gpt":0.2471017233248961,"score_spread":0.2260381878432095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286505751","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22023615,0.48303974,0.0026277534,0.06080656,0.0020866788,0.0020457623,0.00084785174,0.00019097415,0.22811854],"genre_scores_gemma":[0.530907,0.37406638,0.00053486985,0.047927145,0.00086353044,0.00033965937,0.00017984015,0.00016182626,0.04501975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983947,0.00009790129,0.00073409465,0.0004096056,0.000062170904,0.0003014849],"domain_scores_gemma":[0.9983209,0.00013094196,0.00043891885,0.00091519183,0.00012670875,0.000067333305],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022571236,0.00020482182,0.00059690734,0.00004714594,0.00016268533,0.000073445655,0.00041309488,0.000070858514,0.0039606052],"category_scores_gemma":[0.00059933006,0.00015271315,0.00014659461,0.0006005569,0.000074738724,0.00013836012,0.00019732532,0.00012335759,0.0014596453],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038549853,0.00023199475,0.06493835,0.0070963264,0.00012761659,0.0000119731685,0.00008888749,0.0000052434775,0.0000067271394,0.7543199,0.10642722,0.0667072],"study_design_scores_gemma":[0.00017939605,0.000005747233,0.12906215,0.00034481264,0.000016817012,0.000005813715,5.271986e-7,0.0002313305,7.3020846e-7,0.025348369,0.8445819,0.00022241325],"about_ca_topic_score_codex":0.00013383785,"about_ca_topic_score_gemma":0.00007122512,"teacher_disagreement_score":0.73815465,"about_ca_system_score_codex":0.00007507295,"about_ca_system_score_gemma":0.000018947676,"threshold_uncertainty_score":0.9993178},"labels":[],"label_agreement":null},{"id":"W2287846853","doi":"","title":"Women's part-time wage penalties across countries","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Essex; University of Pennsylvania","keywords":"Wage; Economics; Demographic economics; Labour economics; Position (finance); Distribution (mathematics); Differential (mechanical device); Full-time; Economic growth","score_opus":0.022915865771182996,"score_gpt":0.2439140568275066,"score_spread":0.22099819105632362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287846853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9159518,0.0056807585,0.00038144054,0.0004975202,0.0081001315,0.0007785549,0.01118862,0.00035626598,0.05706492],"genre_scores_gemma":[0.9726888,0.002138837,0.0006667835,0.0015831571,0.0017436567,0.0003310136,0.00048216383,0.00024479526,0.02012077],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99235153,0.00012588092,0.0030667705,0.0021576355,0.00022010134,0.0020780934],"domain_scores_gemma":[0.99389446,0.0005824529,0.0024784063,0.0021872008,0.00025761928,0.00059986056],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005955191,0.0012028806,0.0026230204,0.00060195406,0.0006023038,0.0008599266,0.001465986,0.0013524989,0.011381126],"category_scores_gemma":[0.0005292161,0.0014745429,0.0007660641,0.00031939562,0.0010562413,0.0005239261,0.0014652545,0.0017475225,0.0053999503],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015423575,0.00030791337,0.86427164,0.000536661,0.0007790208,0.00012579825,0.0033481494,0.00011367825,0.000003729279,0.12292479,0.0069365944,0.0004977877],"study_design_scores_gemma":[0.0026042184,0.00023037202,0.1617996,0.0004329799,0.00007146816,0.00007144703,0.0009775251,0.001384038,0.000060543724,0.14849626,0.6787139,0.005157634],"about_ca_topic_score_codex":0.0005014117,"about_ca_topic_score_gemma":0.00026929466,"teacher_disagreement_score":0.70247203,"about_ca_system_score_codex":0.002035718,"about_ca_system_score_gemma":0.0004868792,"threshold_uncertainty_score":0.999944},"labels":[],"label_agreement":null},{"id":"W2288636160","doi":"","title":"The Economics of Diversity: Up Close and Personal","year":2012,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Diversity (politics); Economics; Sociology; Anthropology","score_opus":0.038522697960884644,"score_gpt":0.22105179742584685,"score_spread":0.1825290994649622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288636160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98930216,0.0041395463,0.00011420495,0.00040083713,0.0029520327,0.00015454461,0.00042838682,0.000014842054,0.002493464],"genre_scores_gemma":[0.99372125,0.0046078763,0.000044723507,0.00015943934,0.00011950169,0.0000070948886,0.000016592712,0.000015551615,0.0013079732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869394,0.000030780604,0.0005195714,0.0002799638,0.000054193577,0.00042157137],"domain_scores_gemma":[0.9990081,0.00008596796,0.00035874077,0.00030071827,0.000044396842,0.00020207226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081622,0.00017106756,0.0003136943,0.00007325549,0.0004290042,0.000037297345,0.00027445029,0.00008146818,0.000556683],"category_scores_gemma":[0.000079019825,0.00015805627,0.00016589779,0.00010720127,0.00014282911,0.00024606468,0.00068111724,0.00011200142,0.00011893498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028643943,0.000057399022,0.6659903,0.000019705378,0.000109829576,3.6612013e-7,0.0011222307,8.7883535e-7,0.000005693255,0.33157402,0.00032409505,0.0007668472],"study_design_scores_gemma":[0.0013293687,0.00010687734,0.7962247,0.000011185999,0.00005334423,0.000004859509,0.0008382276,0.0018893585,0.00017393466,0.06977524,0.12893578,0.0006571358],"about_ca_topic_score_codex":0.00046565317,"about_ca_topic_score_gemma":0.000037592967,"teacher_disagreement_score":0.26179877,"about_ca_system_score_codex":0.000094597555,"about_ca_system_score_gemma":0.000014661369,"threshold_uncertainty_score":0.64453477},"labels":[],"label_agreement":null},{"id":"W2289997410","doi":"","title":"PERFORMANCE PAY AND ETHNIC WAGE DIFFERENTIALS IN CANADA: THE ROLE OF GENDER, IMMIGRANT STATUS, AND FOREIGN LANGUAGE 1","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Ethnic group; Immigration; Differential (mechanical device); Demographic economics; Labour economics; Economics; Political science; Law","score_opus":0.015551480159419765,"score_gpt":0.20430596417486635,"score_spread":0.1887544840154466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289997410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882192,0.004862431,0.000028948736,0.00011183496,0.000027406686,0.00012221861,0.00012021985,0.000004093751,0.006503646],"genre_scores_gemma":[0.9970893,0.0025927501,0.000043254608,0.000163437,0.000010248538,0.000003388891,0.000007277771,0.0000055351315,0.000084765685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991689,0.00001817064,0.00037576535,0.00018247883,0.00003213499,0.00022257328],"domain_scores_gemma":[0.9995718,0.00005555247,0.00012894426,0.00018633658,0.000009982874,0.000047395908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040822878,0.00009577801,0.00025711994,0.000052661864,0.0000344941,0.000016525419,0.00008839415,0.00003484965,0.00006120116],"category_scores_gemma":[0.000025265283,0.00006352773,0.000020495294,0.00010749744,0.000027062573,0.000072105555,0.00003501216,0.00009984574,5.907805e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015701482,0.000023500053,0.8412744,0.000021050708,0.000013587034,0.0000013521768,0.0009829785,0.0000073931556,0.00009021807,0.13776748,0.000005874508,0.019796474],"study_design_scores_gemma":[0.00028490284,0.00002380812,0.967055,0.0000052472174,0.0000026143202,7.751036e-7,0.00091944676,0.0068557784,0.00010045848,0.024491379,0.00015437507,0.00010616708],"about_ca_topic_score_codex":0.59874034,"about_ca_topic_score_gemma":0.54177433,"teacher_disagreement_score":0.12578066,"about_ca_system_score_codex":0.00006170691,"about_ca_system_score_gemma":0.000045823133,"threshold_uncertainty_score":0.46658713},"labels":[],"label_agreement":null},{"id":"W2295094213","doi":"10.21916/mlr.2015.7","title":"Multiple jobholding over the past two decades","year":2015,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Geography; Political science; Environmental planning","score_opus":0.055046242406920985,"score_gpt":0.27771747615977027,"score_spread":0.22267123375284928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295094213","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4483557,0.5100643,0.0003128655,0.0088167535,0.0010362994,0.0009469987,0.00087053113,0.00010657691,0.029489959],"genre_scores_gemma":[0.9690966,0.02288591,0.00045452808,0.00645517,0.00030765764,0.000099454555,0.000039060527,0.00004428778,0.00061735645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837416,0.00007959634,0.0007541119,0.00038203597,0.000080274476,0.0003297885],"domain_scores_gemma":[0.9985493,0.00013022296,0.00038157112,0.0006951999,0.000093940325,0.00014976211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020001594,0.00020114196,0.00055011356,0.000054960652,0.000111638285,0.00011050849,0.0004572794,0.0000535493,0.00017506852],"category_scores_gemma":[0.00081168243,0.00015234442,0.00015916348,0.00050890195,0.000053235723,0.00021550168,0.00013212494,0.00019998492,0.00030879906],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016707472,0.0001239041,0.43573982,0.00073252385,0.000099613026,0.000017161687,0.00025017056,0.000116251445,0.0000036480822,0.5387865,0.01726435,0.0068493686],"study_design_scores_gemma":[0.0006610103,0.000024432451,0.06297279,0.00036789043,0.000023788498,0.000001739765,0.00001820295,0.001795898,0.0000022244178,0.030990772,0.90280896,0.0003322777],"about_ca_topic_score_codex":0.0006249667,"about_ca_topic_score_gemma":0.00018915675,"teacher_disagreement_score":0.8855446,"about_ca_system_score_codex":0.000109446926,"about_ca_system_score_gemma":0.000026401161,"threshold_uncertainty_score":0.6212425},"labels":[],"label_agreement":null},{"id":"W2298880307","doi":"10.14288/1.0055825","title":"Changing behaviour patterns of disadvantaged unemployed youth through an intervention strategy using computer-based training techniques","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Training (meteorology); Intervention (counseling); Unemployment; Computer science; Psychology; Economic growth; Economics; Geography","score_opus":0.0356893013589287,"score_gpt":0.2266576036113484,"score_spread":0.1909683022524197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298880307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90614474,0.000012260526,0.09111641,0.0000074509994,0.0001802375,0.00016473506,0.0021917224,0.000053691194,0.0001287252],"genre_scores_gemma":[0.99377674,0.000012342858,0.0059700757,0.000012873254,0.000036804988,3.7465688e-7,0.00015387342,0.00002005908,0.00001688442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897146,0.00003896756,0.00033521303,0.0003623756,0.000058041373,0.00023393132],"domain_scores_gemma":[0.99904597,0.00001965401,0.0004926931,0.00028788316,0.00009084215,0.00006294312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058867625,0.000061060935,0.0003849982,0.00010371752,0.00014751169,0.000085272084,0.00028243466,0.0001284939,0.00008178139],"category_scores_gemma":[0.000012453551,0.00020431737,0.00017443894,0.00021487208,0.00010736262,0.00057253556,0.00008003491,0.00018961549,6.540704e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029559023,0.0009143138,0.6810542,0.0003016798,0.000087087465,0.00006445992,0.003891441,0.0001258102,0.00096766086,0.0010337585,0.0000025435932,0.31152752],"study_design_scores_gemma":[0.00094485644,0.00019773556,0.98234105,0.00019666922,0.000029374163,0.0000065601794,0.0044826246,0.008490181,0.000014719042,0.0029926312,0.000007394471,0.00029618072],"about_ca_topic_score_codex":0.114711255,"about_ca_topic_score_gemma":0.099817,"teacher_disagreement_score":0.31123134,"about_ca_system_score_codex":0.000045931392,"about_ca_system_score_gemma":0.000021575295,"threshold_uncertainty_score":0.916609},"labels":[],"label_agreement":null},{"id":"W2300309137","doi":"10.2139/ssrn.906763","title":"Does the Wage and Professional Valorization of the Training in Company Differ According to the Sex? The Canadian Example (La Valorisation Salariale Et Professionnelle De La Formation En Entreprise DiffèRe-T-Elle Selon Le Sexe ?: L'Exemple Canadien)","year":2006,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Valorisation; Training (meteorology); Economics; Labour economics; Business; Political science; Humanities; Art; Market economy; Geography","score_opus":0.010381153061936382,"score_gpt":0.22224868760647454,"score_spread":0.21186753454453816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300309137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529598,0.0009919881,0.0049712393,0.038802557,0.0010438117,0.000633742,0.000089657835,0.0000050204826,0.0005022062],"genre_scores_gemma":[0.9965683,0.00081307616,0.00004174288,0.00024248633,0.0003193342,0.000036175254,0.00002064224,0.00002566282,0.0019325737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99641246,0.0014291919,0.0006913277,0.0002351485,0.00013377053,0.0010981262],"domain_scores_gemma":[0.997968,0.0010819221,0.00053278473,0.0002842081,0.000060843395,0.00007220098],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011180468,0.00018753669,0.0002636468,0.00013431802,0.0014697246,0.00022354862,0.00044098243,0.00018233995,0.000019991374],"category_scores_gemma":[0.00039935936,0.00009735401,0.00009453804,0.00040077532,0.00012343604,0.00034887213,0.00011229303,0.001532437,0.0000011966797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003655861,0.000079442194,0.20880367,0.000031532596,0.000058395817,0.0000012277883,0.033236645,0.0033496686,0.0000671917,0.74844474,0.00015827375,0.005732655],"study_design_scores_gemma":[0.0010003693,0.00004731306,0.44690058,0.00021417417,0.000038231312,0.00005644458,0.038299724,0.030149365,0.00004556721,0.47251815,0.010462251,0.0002678487],"about_ca_topic_score_codex":0.36527163,"about_ca_topic_score_gemma":0.8572993,"teacher_disagreement_score":0.4920277,"about_ca_system_score_codex":0.0018508275,"about_ca_system_score_gemma":0.0024344765,"threshold_uncertainty_score":0.99983025},"labels":[],"label_agreement":null},{"id":"W2300960635","doi":"","title":"WORKFORCE MOBILITY AGAINST THE BACKGROUND OF LABOUR MARKET DUALITY THEORY – THE EXAMPLE OF SELECTED OECD COUNTRIES","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Market segmentation; Labour economics; Economics; Primary sector of the economy; Labour supply; Demographic economics; Economic sector; Economy; Economic growth","score_opus":0.061909481780484873,"score_gpt":0.302906496096347,"score_spread":0.24099701431586212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300960635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90344465,0.0012976287,0.000027342929,0.00039110024,0.00046924065,0.0011469705,0.0028327056,0.000021741365,0.09036865],"genre_scores_gemma":[0.9866482,0.009739709,0.000121804864,0.00013449116,0.00014531828,0.00018971523,0.0001035372,0.00006882319,0.002848397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99387896,0.0014121336,0.0024186822,0.0011469804,0.00025930023,0.00088394276],"domain_scores_gemma":[0.9908972,0.0036466785,0.0015698565,0.0030183222,0.0007172266,0.00015073197],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.03649288,0.00044839634,0.0013832531,0.00031717974,0.00023220011,0.0001961744,0.002056643,0.0006218137,0.00045899276],"category_scores_gemma":[0.001564647,0.00035799295,0.0003297224,0.00043290778,0.0015506072,0.00015173503,0.0017433865,0.0020162447,0.000011207093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072895933,0.0005489885,0.09662381,0.0008954001,0.0004974039,0.0000046395285,0.0014465136,0.004304892,0.000009145679,0.886103,0.00020210745,0.008635195],"study_design_scores_gemma":[0.0011840073,0.00012913469,0.20136656,0.00017753776,0.000020997502,0.0000029772384,0.0024450673,0.009541865,0.00006206436,0.703787,0.08044535,0.0008374181],"about_ca_topic_score_codex":0.0029871522,"about_ca_topic_score_gemma":0.0012189285,"teacher_disagreement_score":0.18231592,"about_ca_system_score_codex":0.0009893709,"about_ca_system_score_gemma":0.00093184167,"threshold_uncertainty_score":0.9998872},"labels":[],"label_agreement":null},{"id":"W2303362724","doi":"10.14288/1.0094941","title":"Unemployment insurance and the distribution of workers between labour force states","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Labour economics; Economics; Distribution (mathematics); Business; Economic growth","score_opus":0.007966621499664843,"score_gpt":0.1689609323936797,"score_spread":0.16099431089401486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303362724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432266,0.0001663803,0.000960524,0.00028867464,0.00010159088,0.00015671922,0.0036173142,0.000011869388,0.00037427925],"genre_scores_gemma":[0.999189,0.00026447175,0.00009850383,0.000016089032,0.000016107364,4.5239935e-7,0.00005735122,0.0000060404673,0.00035194794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936765,0.00002321661,0.0002126558,0.00021254581,0.00004475523,0.00013919921],"domain_scores_gemma":[0.9992642,0.000101519254,0.0002908665,0.00021546072,0.00007759726,0.000050404364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006672467,0.00003362426,0.00029640438,0.000017744183,0.00012747724,0.000048476104,0.00020944179,0.00007193469,0.000029848883],"category_scores_gemma":[0.00006238694,0.000088890694,0.00007516243,0.00018290566,0.00041832778,0.0001489321,0.00009309445,0.00013395892,0.0000022407448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016962551,0.000031425596,0.9638265,0.00004745481,0.000045647415,0.0000022829638,0.000119024306,0.0000067773285,0.0000045497495,0.0040067043,0.00009142885,0.031801246],"study_design_scores_gemma":[0.0011452413,0.000019762505,0.949293,0.000022066688,0.000007982673,0.0000014702641,0.00019041258,0.00028062696,3.6472437e-7,0.048393708,0.0005506836,0.000094641066],"about_ca_topic_score_codex":0.14354743,"about_ca_topic_score_gemma":0.0694535,"teacher_disagreement_score":0.07409392,"about_ca_system_score_codex":0.000021808884,"about_ca_system_score_gemma":0.000014302978,"threshold_uncertainty_score":0.9475266},"labels":[],"label_agreement":null},{"id":"W2306883262","doi":"","title":"What if they take it all? Impact of zero replacement rates on sickness absence","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographic economics; Quarter (Canadian coin); Economics; Zero (linguistics); Labour economics; Business; Geography","score_opus":0.07711104640663545,"score_gpt":0.3536129450336831,"score_spread":0.27650189862704766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306883262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938361,0.0004904091,0.00001891798,0.00079026324,0.0014370165,0.0011068241,0.0011114519,0.000030253192,0.056653865],"genre_scores_gemma":[0.96769,0.028351778,0.00017107413,0.00015576456,0.00015835358,0.00018497341,0.00023042543,0.00010626034,0.0029513852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99452764,0.0002800584,0.002164317,0.0016972667,0.00021475411,0.001115986],"domain_scores_gemma":[0.9948983,0.00067374134,0.0012754832,0.0024764605,0.00031248346,0.00036351767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009465053,0.0006026047,0.0015705794,0.000881681,0.00009818429,0.0006339026,0.001411053,0.0006667129,0.00031507105],"category_scores_gemma":[0.0012328326,0.0006272527,0.0005424885,0.00021302732,0.00029296722,0.0005769403,0.0013329148,0.0017267274,0.000063249434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004550447,0.003880833,0.29665247,0.001833425,0.0033982843,0.00018452812,0.00803248,0.3011775,0.000078839395,0.29214546,0.0018913983,0.08617435],"study_design_scores_gemma":[0.004514474,0.0020786484,0.07549229,0.0016800369,0.000030093994,0.00001484578,0.0020600406,0.07951751,0.00009645157,0.79727924,0.033939138,0.0032972249],"about_ca_topic_score_codex":0.0019397369,"about_ca_topic_score_gemma":0.000533742,"teacher_disagreement_score":0.50513375,"about_ca_system_score_codex":0.0032649254,"about_ca_system_score_gemma":0.00066945684,"threshold_uncertainty_score":0.9996179},"labels":[],"label_agreement":null},{"id":"W231675007","doi":"","title":"The Impact of Social Security in Labour Market: Evidence from France/EFFETS DE LA SÉCURITÉ SOCIAL DANS LE MARCHÉ DU TRAVAIL: PREUVE DE FRANCE","year":2008,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social security; Unemployment; Welfare economics; Economics; Economic growth; Market economy","score_opus":0.01274162088269529,"score_gpt":0.2439388539866644,"score_spread":0.2311972331039691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W231675007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97299016,0.0048347036,0.00013302211,0.004003769,0.00057331164,0.000313027,0.0034931009,0.000013065096,0.013645874],"genre_scores_gemma":[0.9947979,0.0020592473,0.00006699607,0.00028746776,0.0007332271,0.000029824747,0.0000057132233,0.000034108343,0.0019855585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959212,0.00066434656,0.00082570425,0.0007255831,0.00023969538,0.0016234923],"domain_scores_gemma":[0.99782306,0.0006859623,0.0005655892,0.00029939722,0.0001773111,0.000448673],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005968505,0.00032306748,0.0006607377,0.0002172076,0.0028282148,0.00026911648,0.0015227504,0.00051997846,0.00028257087],"category_scores_gemma":[0.0011967917,0.00034985892,0.00036232537,0.001816556,0.005073166,0.00064839545,0.00013322703,0.0008057494,0.000012824155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041271654,0.00012096349,0.898893,0.000041827105,0.000042816617,0.00006858752,0.029409256,0.000012793987,0.00008320851,0.06667599,0.0016319695,0.0029783286],"study_design_scores_gemma":[0.0005757136,0.00003554814,0.95882267,0.000054367174,0.0000070207384,0.000005953662,0.00077335926,0.0029152504,0.00001714028,0.027234714,0.009153101,0.00040513577],"about_ca_topic_score_codex":0.5502804,"about_ca_topic_score_gemma":0.12712008,"teacher_disagreement_score":0.4231603,"about_ca_system_score_codex":0.0027967386,"about_ca_system_score_gemma":0.0044325534,"threshold_uncertainty_score":0.99989533},"labels":[],"label_agreement":null},{"id":"W2318174185","doi":"","title":"Spill-Overs from Good Jobs: A New Approach to a Recurring Debate","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Matching (statistics); Economics; Relevance (law); Point (geometry); Exploit; Composition (language); Wage; Labour economics; Microeconomics; Computer science","score_opus":0.037490927323211194,"score_gpt":0.23652227052039584,"score_spread":0.19903134319718466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318174185","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38626927,0.00014474144,0.19691946,0.00034039535,0.00035459187,0.0001769281,0.000106685504,0.00006171471,0.41562623],"genre_scores_gemma":[0.96267956,0.000035576995,0.031204991,0.0014942787,0.00023458662,0.000005467869,0.000026292235,0.000030212977,0.0042890552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983114,0.000009368319,0.0006238077,0.00057259994,0.00004974491,0.00043308662],"domain_scores_gemma":[0.99895656,0.000084877545,0.00016192048,0.00047230697,0.000022934608,0.00030141807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011813217,0.00017433825,0.00035033855,0.00017481872,0.00006663871,0.000111155154,0.00029754455,0.00011076619,0.0005446925],"category_scores_gemma":[0.00018407137,0.00018937195,0.00011233288,0.00039889407,0.00001396242,0.0001311958,0.00011258081,0.00014267369,0.00068130915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003953018,0.00008598472,0.098750845,0.0000085477195,0.00006086444,0.000005343938,0.00046626298,0.00006550823,0.00001649953,0.89371204,0.0009547693,0.0058337883],"study_design_scores_gemma":[0.0019222653,0.000096924945,0.31440014,0.000031764237,0.000017175607,0.000004377848,0.00038380554,0.005915258,0.00015537845,0.4817343,0.19404516,0.0012934431],"about_ca_topic_score_codex":0.008649528,"about_ca_topic_score_gemma":0.0006315417,"teacher_disagreement_score":0.5764103,"about_ca_system_score_codex":0.00015296317,"about_ca_system_score_gemma":0.000021729493,"threshold_uncertainty_score":0.997952},"labels":[],"label_agreement":null},{"id":"W2335886769","doi":"","title":"Skills heterogeneity among graduate workers: real and apparent overeducation in the Spanish labor market","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Labour economics; Economics; Quarter (Canadian coin); Cognitive skill; Educational attainment; Homogeneous; Point (geometry); Demographic economics; Cognition; Psychology","score_opus":0.04533187999231228,"score_gpt":0.24322822286981977,"score_spread":0.1978963428775075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335886769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93280864,0.00054784835,0.0001173212,0.0006538081,0.00034154727,0.00066331914,0.0022789957,0.00004070033,0.06254781],"genre_scores_gemma":[0.9906542,0.005548873,0.00059883035,0.00012065201,0.00012594156,0.000014632634,0.0005084456,0.000043824795,0.0023846172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968209,0.0006208902,0.00064693746,0.0011342952,0.00021066655,0.0005662741],"domain_scores_gemma":[0.99721587,0.0004019516,0.00073118944,0.0012614733,0.00014671515,0.00024277916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002353076,0.00048913993,0.0007704572,0.0006111333,0.0002769273,0.00023810433,0.0013556004,0.00030557532,0.000061665516],"category_scores_gemma":[0.00027822668,0.00052547106,0.00026508377,0.00054192473,0.00040874028,0.00028961105,0.0017409709,0.001338261,0.000010595585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029610918,0.00077409553,0.9118671,0.00023962042,0.000379681,0.00017030399,0.016817365,0.00019071299,0.0000020222924,0.066498935,0.0016885116,0.0010755623],"study_design_scores_gemma":[0.0010799014,0.00008345223,0.90611607,0.00024773844,0.000062169194,0.000009538999,0.005170102,0.007929917,8.5611947e-7,0.063402295,0.015053387,0.0008445995],"about_ca_topic_score_codex":0.012839609,"about_ca_topic_score_gemma":0.010511771,"teacher_disagreement_score":0.060163196,"about_ca_system_score_codex":0.0006317276,"about_ca_system_score_gemma":0.0002969509,"threshold_uncertainty_score":0.9997197},"labels":[],"label_agreement":null},{"id":"W2337016233","doi":"10.1111/j.1540-5982.2012.01738.x","title":"Wage posting: evidence from job ads","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wage; Wage bargaining; Labour economics; Economics; Efficiency wage","score_opus":0.1985746268455329,"score_gpt":0.20039629644479656,"score_spread":0.0018216695992636645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337016233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841909,0.004446568,0.00028291403,0.002094092,0.004043431,0.00019169261,0.0011798437,0.000010429801,0.0035601752],"genre_scores_gemma":[0.9951712,0.00040517235,0.001203353,0.00087611657,0.0017338134,0.000009669632,0.000024628449,0.00007943133,0.0004966088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963412,0.00006840321,0.0018486032,0.000461668,0.0000026129705,0.0012774887],"domain_scores_gemma":[0.99442434,0.0004013729,0.0015132758,0.00069072575,0.00016112904,0.002809126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025981402,0.00037865038,0.001021681,0.00073938054,0.00020988595,0.00023954974,0.0009211993,0.00029625645,0.0013380927],"category_scores_gemma":[0.0012351451,0.0004914369,0.0003825514,0.00020627199,0.00015023269,0.0015440508,0.000050564027,0.00053608464,0.00021270453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003558084,0.000015036316,0.39731982,0.000017230615,0.00015157045,0.0000441732,0.0013944842,0.00030314506,0.000009843434,0.5995392,0.00033081035,0.00083909114],"study_design_scores_gemma":[0.0011044261,0.00030669125,0.16438065,0.00029364406,0.00006974953,0.0002666083,0.00045074927,0.0020336888,0.000088293345,0.7683148,0.061240755,0.0014499507],"about_ca_topic_score_codex":0.35113177,"about_ca_topic_score_gemma":0.85729474,"teacher_disagreement_score":0.506163,"about_ca_system_score_codex":0.0023859215,"about_ca_system_score_gemma":0.0008581501,"threshold_uncertainty_score":0.9997537},"labels":[],"label_agreement":null},{"id":"W2338560079","doi":"10.14288/1.0104159","title":"The theory and measurement of structural unemployment","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Structural unemployment; Economics; Econometrics; Computer science; Economic growth","score_opus":0.02257005411219357,"score_gpt":0.16679540861889736,"score_spread":0.1442253545067038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338560079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99389184,0.0010026527,0.00041719794,0.00003093099,0.00011248322,0.000108763255,0.00019460672,0.000008659923,0.0042328844],"genre_scores_gemma":[0.99934953,0.00026962452,0.00015459232,0.000011620253,0.000005888121,2.3284045e-7,0.000001509212,0.0000054983248,0.0002014714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940944,0.000038376395,0.00018226382,0.00018562256,0.00005701616,0.00012730209],"domain_scores_gemma":[0.9993866,0.000036105583,0.00022843103,0.00021053776,0.00009350098,0.000044786924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011747259,0.00002772093,0.00018873655,0.00001925847,0.00015197993,0.000029317922,0.0002066546,0.0000416173,0.000088829634],"category_scores_gemma":[0.000054245924,0.00007474829,0.00006385252,0.00008726458,0.00024335884,0.000098659024,0.00009600462,0.000054638032,0.0000025306379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082404855,0.00011034654,0.6339885,0.00011034528,0.00024477433,0.000017764034,0.0011765244,0.0000014198432,0.000033999208,0.07006826,0.0001909339,0.29397476],"study_design_scores_gemma":[0.0003147887,0.000039088824,0.8636862,0.000016872877,0.000007701309,0.0000025672796,0.0004245499,0.00007028042,6.596218e-7,0.13518266,0.00017835217,0.0000762583],"about_ca_topic_score_codex":0.05173632,"about_ca_topic_score_gemma":0.06532263,"teacher_disagreement_score":0.2938985,"about_ca_system_score_codex":0.000040205843,"about_ca_system_score_gemma":0.000015412574,"threshold_uncertainty_score":0.9545782},"labels":[],"label_agreement":null},{"id":"W2338916824","doi":"","title":"Employment equity policy in Canada: An interprovincial comparison","year":2000,"lang":"en","type":"book","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Economics; Demographic economics; Political science; Business","score_opus":0.038927811476761026,"score_gpt":0.27564873183018673,"score_spread":0.2367209203534257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338916824","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022007018,0.00040535963,0.00016914819,0.00037266922,0.0005287124,0.00034631998,0.00200884,0.000033206736,0.9741287],"genre_scores_gemma":[0.55353487,0.00021284205,0.00010090157,0.0016020061,0.000625636,0.00002684818,0.00057801476,0.00008634878,0.44323254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970688,0.000030416524,0.0015159852,0.00073281303,0.00010097722,0.000550994],"domain_scores_gemma":[0.99855363,0.000046751644,0.0004932748,0.00067723676,0.000022317532,0.00020677589],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006338142,0.00038403957,0.0011236725,0.00040660222,0.000051470044,0.00009844795,0.00066538417,0.0002871226,0.0024127252],"category_scores_gemma":[0.00004423267,0.00045250478,0.000121230885,0.0001503888,0.000039831022,0.00014007966,0.00026368105,0.0005387166,0.00013224283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006084639,0.00016526414,0.030142253,0.00006588866,0.000056207533,0.000031551543,0.00017515647,0.000099045574,9.413269e-8,0.9413588,0.011378923,0.01646599],"study_design_scores_gemma":[0.00064671575,0.000120386205,0.024053609,0.000063292464,0.000007662204,0.0000018211323,0.000025837357,0.004455652,0.0000010074701,0.43496612,0.5345383,0.0011195776],"about_ca_topic_score_codex":0.98856944,"about_ca_topic_score_gemma":0.9954281,"teacher_disagreement_score":0.5315279,"about_ca_system_score_codex":0.01027556,"about_ca_system_score_gemma":0.005082022,"threshold_uncertainty_score":0.9997927},"labels":[],"label_agreement":null},{"id":"W2342001105","doi":"10.1002/ets2.12097","title":"The Prediction of Labor Force Status: Implications From International Adult Skill Assessments","year":2016,"lang":"en","type":"article","venue":"ETS Research Report Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Literacy; Categorical variable; Educational attainment; Adult literacy; Probit model; Demographic economics; Psychology; Immigration; Regression analysis; Probit; Demography; Econometrics; Geography; Economics; Sociology; Economic growth; Statistics; Pedagogy","score_opus":0.06499529246291003,"score_gpt":0.3576600144154923,"score_spread":0.29266472195258225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342001105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96014524,0.00021498594,0.00252527,0.011621305,0.0007029309,0.00028570948,0.0049805166,0.000047624333,0.019476393],"genre_scores_gemma":[0.98818964,0.0028494208,0.00043837423,0.00002483465,0.00011864448,0.000096343516,0.0001289058,0.00001930502,0.008134532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984235,0.000054609227,0.0007264224,0.00032211942,0.00017622214,0.00029712266],"domain_scores_gemma":[0.9978065,0.00039594367,0.0003773891,0.0006161075,0.0007268909,0.000077196055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015983329,0.000078184705,0.00015862388,0.00010503209,0.0001918051,0.000101454854,0.00031923642,0.000062919076,0.0001428169],"category_scores_gemma":[0.00244129,0.000053376047,0.000057161917,0.0002262234,0.00021295491,0.00044215965,0.00017166258,0.0001309252,0.000019617739],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053149684,0.00006107199,0.542774,0.000006695924,0.0001074238,0.0000064197075,0.00013802579,0.0000010366047,0.00038698714,0.4521174,0.0011010489,0.003246723],"study_design_scores_gemma":[0.00020829232,0.00004765026,0.57838124,0.000019634786,0.000001406614,0.0000038473195,0.00013291069,0.00006857082,0.00021939952,0.29013568,0.13071954,0.000061782914],"about_ca_topic_score_codex":0.0008807806,"about_ca_topic_score_gemma":0.0003292356,"teacher_disagreement_score":0.16198172,"about_ca_system_score_codex":0.00017967791,"about_ca_system_score_gemma":0.000109147695,"threshold_uncertainty_score":0.29226285},"labels":[],"label_agreement":null},{"id":"W2342957121","doi":"10.2139/ssrn.2534941","title":"Understanding Fluctuations in the Ins and Outs of the Labor Force","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Economics; Labour economics","score_opus":0.03399792829447213,"score_gpt":0.22222928022133823,"score_spread":0.1882313519268661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342957121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98348737,0.0010954854,0.006758376,0.0058345236,0.00010744716,0.00015795036,0.000013685446,0.000004006355,0.0025411688],"genre_scores_gemma":[0.9983369,0.001052037,0.000019419467,0.00021350652,0.000035331752,0.0000052314595,6.149479e-7,0.000009139218,0.00032783262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893874,0.000046370387,0.000341927,0.00009755919,0.000041905998,0.0005334735],"domain_scores_gemma":[0.9994901,0.00008270662,0.00022873754,0.0001567029,0.00002384929,0.000017922837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019729645,0.00006567785,0.00012976822,0.000074803545,0.000116846495,0.000065841334,0.00024159673,0.000038874565,0.000024295541],"category_scores_gemma":[0.00013499171,0.000042720087,0.000050423445,0.00025188536,0.000048720573,0.00015879121,0.000031490104,0.0005800621,0.0000042514475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018175992,0.000015730498,0.06356316,0.0000026768894,0.000018327639,7.674519e-8,0.0004129989,0.000019745754,0.000011869129,0.9357707,0.000013958651,0.00016896611],"study_design_scores_gemma":[0.00022979108,0.000026212241,0.11321018,0.000005677263,0.000002880469,0.000009081775,0.0017003694,0.00087288447,0.0000012046032,0.8837374,0.0001525139,0.000051803054],"about_ca_topic_score_codex":0.00034999775,"about_ca_topic_score_gemma":0.001737566,"teacher_disagreement_score":0.05203327,"about_ca_system_score_codex":0.0003514235,"about_ca_system_score_gemma":0.00014526681,"threshold_uncertainty_score":0.25201136},"labels":[],"label_agreement":null},{"id":"W234356579","doi":"","title":"Cyclical Changes in Short-Run Earnings Mobility in Canada, 1982-1996","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Recession; Economics; Demographic economics; Labour economics; Distribution (mathematics); Population; Inequality; Demography; Mathematics; Finance","score_opus":0.04315143094768803,"score_gpt":0.28736514775720967,"score_spread":0.24421371680952164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W234356579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94530976,0.00038812376,0.0000032132066,0.001262152,0.0006372068,0.0009907552,0.0007980341,0.000021397906,0.05058938],"genre_scores_gemma":[0.98428696,0.013900387,0.00011885551,0.00020616148,0.0001893112,0.00044127883,0.00018120254,0.00009172758,0.000584095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934995,0.00034920292,0.002159323,0.0021227843,0.00018047665,0.0016886727],"domain_scores_gemma":[0.99688226,0.0007535946,0.00032729388,0.0016293433,0.000073901254,0.00033360996],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007400374,0.0005488058,0.0016475174,0.001289768,0.000093779854,0.00016506627,0.0012888304,0.0007687567,0.00036508194],"category_scores_gemma":[0.0013169547,0.00072156347,0.00018921032,0.00058519025,0.00023467984,0.00013980307,0.0015145084,0.0038063577,0.000014690884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010496266,0.00031982534,0.95771927,0.00019644095,0.000041264462,0.00017745825,0.00028000548,0.011656424,0.0000035891533,0.004627576,0.000013564949,0.024859631],"study_design_scores_gemma":[0.00081867375,0.000056000295,0.9077138,0.00019889415,0.0000023498844,0.0000050190542,0.00038534994,0.04455017,0.000008841609,0.02853145,0.016743664,0.0009858466],"about_ca_topic_score_codex":0.85089326,"about_ca_topic_score_gemma":0.98942864,"teacher_disagreement_score":0.13853535,"about_ca_system_score_codex":0.009794642,"about_ca_system_score_gemma":0.0015941774,"threshold_uncertainty_score":0.9995235},"labels":[],"label_agreement":null},{"id":"W2345895984","doi":"10.5901/mjss.2016.v7n3p331","title":"Labour Supply/Demand Analysis: Approaches and Concerns (The Case of “Finance” Graduates in Albania)","year":2016,"lang":"en","type":"article","venue":"Mediterranean Journal of Social Sciences","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Innovációs és Technológiai Minisztérium; Ministry of Defense; Yükseköğretim Kurulu; York University","keywords":"Supply and demand; Bachelor; Economics; Demand side; Labour supply; Supply side; On demand; Labour economics; Macroeconomics; Political science; Commerce","score_opus":0.08668678435655652,"score_gpt":0.28010558441677114,"score_spread":0.1934188000602146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345895984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928078,0.0012167275,0.00046345885,0.0046866867,0.0002150189,0.000056798774,0.00009359189,0.0000016748681,0.00045826132],"genre_scores_gemma":[0.9991279,0.00042996265,0.00014098875,0.000052587886,0.00019877566,0.0000017013758,3.8110264e-7,0.000003821418,0.000043841603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986886,0.000086311746,0.00075801194,0.00017962694,0.000086425505,0.00020104734],"domain_scores_gemma":[0.9987315,0.00022795686,0.00086667517,0.00008028133,0.00005388716,0.000039715545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041804397,0.00009420716,0.00047347814,0.00027363063,0.00016067884,0.000055251763,0.0002972469,0.00005020424,0.000067247674],"category_scores_gemma":[0.00020163778,0.000055791897,0.0001304253,0.0008236554,0.00073852926,0.00030208586,0.00004149538,0.000099535515,8.820453e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050519815,0.00010481634,0.5786895,0.00003462846,0.0002630758,0.00017025632,0.010922693,0.00006070825,0.000039535233,0.3959177,0.000078463636,0.013668083],"study_design_scores_gemma":[0.0022309676,0.00041453252,0.6022382,0.00009483237,0.0001455447,0.00020214319,0.0059464695,0.0034018182,0.0000996338,0.38289508,0.0018872824,0.00044348527],"about_ca_topic_score_codex":0.00031841197,"about_ca_topic_score_gemma":0.00055809243,"teacher_disagreement_score":0.023548689,"about_ca_system_score_codex":0.000033797856,"about_ca_system_score_gemma":0.000034217122,"threshold_uncertainty_score":0.2721142},"labels":[],"label_agreement":null},{"id":"W234595836","doi":"","title":"Declining Labor Force Participation and Its Implications for Unemployment and Employment Growth","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payroll; Unemployment; Economics; Percentage point; Recession; Unemployment rate; Quarter (Canadian coin); Natural rate of unemployment; Labour economics; Great recession; Econometrics; Demographic economics; Macroeconomics; Geography","score_opus":0.027300766995362616,"score_gpt":0.2746021528690701,"score_spread":0.24730138587370748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W234595836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9282044,0.0026873793,0.06355046,0.0050103455,0.000094875446,0.0002111585,0.000046257384,0.000023488647,0.00017161838],"genre_scores_gemma":[0.9950976,0.0038726248,0.00027240594,0.000289516,0.00012090252,0.000050914907,0.000007972579,0.000026256705,0.0002618272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841857,0.000025962376,0.0004590638,0.000245833,0.000025263054,0.00082533265],"domain_scores_gemma":[0.99930817,0.00012502469,0.0002864851,0.00010719998,0.00008070714,0.000092411465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023764998,0.000110442634,0.000211665,0.00008392812,0.00020325405,0.0000869969,0.000091635404,0.000054348962,0.000002991677],"category_scores_gemma":[0.00028965718,0.000114540766,0.000045763332,0.00009037764,0.000018127206,0.00016229757,0.00003245897,0.0002572117,0.0000021634596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015227011,0.00002634171,0.099423446,0.000008972686,0.000045308676,2.5158474e-8,0.00006692095,0.000009731589,0.000022531805,0.89618766,0.0000057634643,0.0041880836],"study_design_scores_gemma":[0.0007331988,0.00024415908,0.071936645,0.000006837904,0.000016005784,0.000008021009,0.000036618305,0.0042368076,0.000014891665,0.9208264,0.00179408,0.00014638311],"about_ca_topic_score_codex":0.000032330823,"about_ca_topic_score_gemma":0.00024218955,"teacher_disagreement_score":0.06689316,"about_ca_system_score_codex":0.00020913257,"about_ca_system_score_gemma":0.00008137835,"threshold_uncertainty_score":0.4670837},"labels":[],"label_agreement":null},{"id":"W2364803854","doi":"10.1186/s40176-016-0057-z","title":"The cost of immigrants’ occupational mismatch and the effectiveness of postarrival policies in Canada","year":2016,"lang":"en","type":"article","venue":"IZA Journal of Migration","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Dalhousie University","keywords":"Immigration; Earnings; Matching (statistics); Native-Born; Economics; Census; Index (typography); Quality (philosophy); Labour economics; Demographic economics; Econometrics; Statistics; Geography; Mathematics; Demography; Computer science; Sociology; Population","score_opus":0.011710836546005104,"score_gpt":0.21377357685099901,"score_spread":0.2020627403049939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364803854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963695,0.00093025813,0.00096753,0.001290717,0.00013903232,0.0001033847,0.00013034776,3.3273105e-7,0.00006889263],"genre_scores_gemma":[0.99934566,0.0005754091,0.000019078634,0.000025678339,0.000019793542,0.0000019493339,0.000001043978,0.0000031913864,0.000008183032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990591,0.0001359403,0.0006129799,0.00005257899,0.00006422484,0.00007517457],"domain_scores_gemma":[0.99787456,0.0012316499,0.0006596042,0.00008887701,0.00012659465,0.00001871711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025487824,0.000051285857,0.00022470593,0.000057493857,0.00003539887,0.000011351602,0.000115389426,0.00002114801,0.0000051102875],"category_scores_gemma":[0.00048471545,0.000026345984,0.00004679092,0.00009939946,0.00008176334,0.00009152395,0.000013195105,0.00005127653,1.6180459e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000874989,0.000017794291,0.8723192,0.000023211507,0.000039750714,7.134231e-7,0.00025583318,0.00009951356,0.0003702812,0.12485038,0.000033607517,0.0011147066],"study_design_scores_gemma":[0.0012716589,0.000029161123,0.96649677,0.000060642833,0.000004066545,0.000004232282,0.00011729284,0.0003555007,0.00044707078,0.030948756,0.00022589603,0.000038943454],"about_ca_topic_score_codex":0.41363257,"about_ca_topic_score_gemma":0.56245875,"teacher_disagreement_score":0.14882618,"about_ca_system_score_codex":0.00011391604,"about_ca_system_score_gemma":0.00017171995,"threshold_uncertainty_score":0.5902721},"labels":[],"label_agreement":null},{"id":"W236606353","doi":"","title":"Labor Market Flows, Business Dynamics, and Unemployment","year":2010,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Layoff; Unemployment; Labour economics; Economics; Business cycle; Job loss; Margin (machine learning); Quarter (Canadian coin)","score_opus":0.010190359891492607,"score_gpt":0.20760369836457312,"score_spread":0.1974133384730805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W236606353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94427764,0.00083060376,0.00040054688,0.0017621865,0.0044164653,0.0003703271,0.001983895,0.00014149754,0.045816854],"genre_scores_gemma":[0.9893733,0.00037492006,0.0019817913,0.0006070367,0.00039771825,0.00005862331,0.000082852166,0.00008334402,0.007040403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970624,0.00004740105,0.0011366378,0.0009957398,0.000082709164,0.00067510793],"domain_scores_gemma":[0.9977974,0.00021929982,0.0005460296,0.0009351775,0.00015843907,0.00034361676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015162713,0.00042681338,0.0008266461,0.0003067103,0.0002992021,0.000326553,0.00045709545,0.00035339233,0.0053780368],"category_scores_gemma":[0.00045454915,0.00053233566,0.00015780868,0.00042121662,0.00036727946,0.00044643655,0.00022712874,0.00058006967,0.0003258743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019620962,0.00011502113,0.7879674,0.00005037082,0.000073960204,0.000014605135,0.000058425394,0.00000274002,0.00002520668,0.20900074,0.0017842291,0.0008876827],"study_design_scores_gemma":[0.001249313,0.000046587218,0.8977652,0.000028442468,0.000022387132,0.000059007543,0.000059023885,0.010774119,0.000011142964,0.03395057,0.05507848,0.0009557056],"about_ca_topic_score_codex":0.0012385973,"about_ca_topic_score_gemma":0.008333371,"teacher_disagreement_score":0.17505017,"about_ca_system_score_codex":0.0002363704,"about_ca_system_score_gemma":0.00013351304,"threshold_uncertainty_score":0.9997128},"labels":[],"label_agreement":null},{"id":"W2381177825","doi":"","title":"L'actualité de la segmentation du marché de la main -d'oeuvre en Europe centrale et sa pertinence pour la Chine","year":2005,"lang":"fr","type":"article","venue":"Études françaises","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.010860104290708043,"score_gpt":0.24408222649549588,"score_spread":0.23322212220478783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381177825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92334753,0.005928906,0.008473009,0.0146377,0.00028530866,0.00024347288,0.0009775031,0.00007305123,0.046033505],"genre_scores_gemma":[0.96614593,0.016203614,0.011283601,0.0023318713,0.0004917732,0.000028161765,0.00006785238,0.00008293249,0.0033642524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968928,0.0009595237,0.0007963791,0.000564258,0.00010662238,0.00068043324],"domain_scores_gemma":[0.9970978,0.0019009559,0.0003579977,0.0003810063,0.000055455515,0.00020677537],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004676644,0.00036567918,0.00046590003,0.00015289256,0.00019629783,0.00037197763,0.00044298286,0.00032878362,0.0012864101],"category_scores_gemma":[0.0011802252,0.00043800572,0.00019259879,0.00032573743,0.00031103933,0.00045522783,0.00016354598,0.0005493602,0.00015962184],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000739239,0.0007585219,0.3251497,0.00022471209,0.00011826016,0.00008109296,0.007086873,0.0016556253,0.0006292133,0.65320915,0.0010198487,0.009993109],"study_design_scores_gemma":[0.001176658,0.00005223207,0.57251287,0.00013387328,0.00003832269,0.000076985314,0.00016098729,0.010902144,0.00017856498,0.00686236,0.40738997,0.00051504234],"about_ca_topic_score_codex":0.0015559312,"about_ca_topic_score_gemma":0.0006027224,"teacher_disagreement_score":0.6463468,"about_ca_system_score_codex":0.00037417453,"about_ca_system_score_gemma":0.00022698106,"threshold_uncertainty_score":0.9998072},"labels":[],"label_agreement":null},{"id":"W2394610378","doi":"10.20955/wp.2016.009","title":"Network Search: Climbing the Job Ladder Faster","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Position (finance); Climbing; Climb; Network structure; Wage; Labour economics; Economics; Computer science; Microeconomics; Engineering; Distributed computing","score_opus":0.05813632891894291,"score_gpt":0.23300794171407288,"score_spread":0.17487161279512997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394610378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.608233,0.00047701393,0.041077107,0.022954924,0.001067697,0.0002587516,0.00010245444,0.0000796968,0.32574937],"genre_scores_gemma":[0.9803332,0.00011234512,0.00029037643,0.002136265,0.00033662334,0.000009780415,0.0000013983404,0.000017740364,0.01676229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891233,0.00003420365,0.00037644166,0.00026863217,0.000035066692,0.00037333157],"domain_scores_gemma":[0.99918836,0.00020494548,0.000089599765,0.00043246243,0.000027340293,0.000057277008],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014497422,0.00010109973,0.00018100916,0.00003468792,0.00014415004,0.000087076,0.00027276928,0.000060234823,0.0019933546],"category_scores_gemma":[0.00006832819,0.000055586304,0.000082283535,0.00015841902,0.00006203662,0.00014465698,0.00013205869,0.00009074986,0.0009736034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069914086,0.000010720803,0.14706264,0.0000028389413,0.000021704864,0.0000011790657,0.000068529225,0.000014086121,0.00000533016,0.84772354,0.002381568,0.0027008634],"study_design_scores_gemma":[0.00068620645,0.000043563414,0.17327097,0.000022274364,0.0000042824067,0.0000028740526,0.00006276732,0.0012723226,0.000012832576,0.6485092,0.17573138,0.00038135663],"about_ca_topic_score_codex":0.00014608551,"about_ca_topic_score_gemma":0.00008310348,"teacher_disagreement_score":0.37210017,"about_ca_system_score_codex":0.000040459727,"about_ca_system_score_gemma":0.000009314265,"threshold_uncertainty_score":0.99980426},"labels":[],"label_agreement":null},{"id":"W2395981989","doi":"10.1111/caje.12188","title":"Chasing after “good jobs.” Do they exist and does it matter if they do?","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Wage; Labour economics; Function (biology); Form of the Good; Economic Justice; Microeconomics","score_opus":0.09105438016436325,"score_gpt":0.18918643662225162,"score_spread":0.09813205645788838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395981989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712048,0.0009070667,0.000034549535,0.005439278,0.0022047265,0.000232969,0.0010667195,0.000006549541,0.018903302],"genre_scores_gemma":[0.99597144,0.0002689237,0.00049430865,0.0016795238,0.00075835484,0.00001931658,0.000012433868,0.000090751324,0.0007049636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99675363,0.00006773191,0.0016082636,0.0006236995,0.0000039563884,0.00094272336],"domain_scores_gemma":[0.9955126,0.00012064487,0.0011352464,0.000636044,0.00019334015,0.002402102],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002262946,0.0004271809,0.0010283063,0.00080241327,0.00016836952,0.00065493083,0.0006012061,0.00029525123,0.0004774209],"category_scores_gemma":[0.00025556938,0.00045106254,0.00025752207,0.00009274367,0.0001701,0.00086392625,0.00006372061,0.00048134345,0.000112312744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008292218,0.000016913868,0.32514325,0.00004262749,0.00016606577,0.00014696279,0.0043318253,0.0005246873,6.516329e-7,0.66855407,0.00024470047,0.00074534054],"study_design_scores_gemma":[0.0010383677,0.00017061381,0.02681712,0.000101724094,0.000028915008,0.00031296606,0.0011777853,0.00031709162,0.000003250336,0.9421149,0.02719512,0.0007221665],"about_ca_topic_score_codex":0.15597771,"about_ca_topic_score_gemma":0.91620094,"teacher_disagreement_score":0.7602232,"about_ca_system_score_codex":0.0018477844,"about_ca_system_score_gemma":0.000835055,"threshold_uncertainty_score":0.9997941},"labels":[],"label_agreement":null},{"id":"W2404137773","doi":"","title":"Short-term employment forecasts based on administrative data on hirings and terminations","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payroll; Christian ministry; Workforce; Demographic economics; Labour economics; Demography; Economics; Geography; Political science; Economic growth; Sociology; Accounting","score_opus":0.13348892975744148,"score_gpt":0.3646840128918453,"score_spread":0.23119508313440384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404137773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79817396,0.00008597487,0.00009711491,0.0024978025,0.0006391483,0.0013721716,0.009007288,0.000045988752,0.18808055],"genre_scores_gemma":[0.99532104,0.0019523674,0.00028512825,0.00018513063,0.00018367864,0.00025500564,0.00050181,0.000080022306,0.0012357924],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9959249,0.00014501497,0.0011187827,0.0019428092,0.00013196953,0.0007365464],"domain_scores_gemma":[0.9957877,0.00096863904,0.0003749419,0.0025415304,0.00007316812,0.00025401264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034121834,0.00043730086,0.0007815099,0.0008016001,0.00019174864,0.00031572994,0.0012277669,0.00043578414,0.00011094633],"category_scores_gemma":[0.00075175264,0.00045357016,0.00012658817,0.000110244786,0.00030613827,0.00018230914,0.0015283292,0.0011479644,0.000024704656],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068277196,0.0015884886,0.22913042,0.0004768585,0.00036199004,0.00016845633,0.00044556707,0.0013990857,0.000011542024,0.25485963,0.0001963105,0.5106789],"study_design_scores_gemma":[0.0036450638,0.0014518687,0.4682653,0.0018614118,0.000027227663,0.000010632998,0.00018896352,0.19318096,0.00008240522,0.2819376,0.046173993,0.0031745879],"about_ca_topic_score_codex":0.000047613412,"about_ca_topic_score_gemma":0.00024687595,"teacher_disagreement_score":0.5075043,"about_ca_system_score_codex":0.0010863479,"about_ca_system_score_gemma":0.00025329832,"threshold_uncertainty_score":0.9997916},"labels":[],"label_agreement":null},{"id":"W2405084529","doi":"10.14288/1.0098260","title":"A theoretical and empirical analysis of an adverse selection model of wages and strikes","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Adverse selection; Selection (genetic algorithm); Econometrics; Model selection; Labour economics; Computer science; Actuarial science; Artificial intelligence","score_opus":0.010992559062774809,"score_gpt":0.19431655770128012,"score_spread":0.18332399863850532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405084529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969048,0.000034033736,0.0014867217,0.000036603957,0.000020355663,0.00006182784,0.0008371399,0.000007794947,0.0006107227],"genre_scores_gemma":[0.998494,0.0001189699,0.0013249576,0.000009974856,0.000004427833,1.2296069e-7,0.000013073439,0.0000046257983,0.000029790706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993957,0.000019271067,0.00019315831,0.00025456972,0.0000403824,0.0000968657],"domain_scores_gemma":[0.9994487,0.000043862787,0.00020012911,0.00014892519,0.00008522417,0.00007311685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040461705,0.00003084925,0.0003689507,0.000119207725,0.000057750458,0.000019022507,0.00010023869,0.00010576772,0.000106958265],"category_scores_gemma":[0.00005623632,0.000093393006,0.00008223613,0.00033660585,0.00044013828,0.00018634753,0.00006169508,0.00009743886,1.9796491e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038003247,0.0002822591,0.9366807,0.00008795509,0.00034339548,0.000004666868,0.00046751415,0.000206451,0.00054012303,0.020287603,0.000013278274,0.04104809],"study_design_scores_gemma":[0.0003109404,0.000050067272,0.7855784,0.000005041144,0.00008451526,0.000001833069,0.00016170625,0.18739447,0.0000010507871,0.026332552,0.0000039941974,0.00007538543],"about_ca_topic_score_codex":0.017681682,"about_ca_topic_score_gemma":0.08727013,"teacher_disagreement_score":0.18718801,"about_ca_system_score_codex":0.000010300922,"about_ca_system_score_gemma":0.000017878494,"threshold_uncertainty_score":0.98885965},"labels":[],"label_agreement":null},{"id":"W2407021395","doi":"10.5539/ass.v12n6p203","title":"Exploring the Glass Ceiling and Sticky Floor in Malaysia","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Glass ceiling; Earnings; Quantile regression; Distribution (mathematics); Ceiling (cloud); Demographic economics; Economics; Percentile; Labour economics; Econometrics; Mathematics; Statistics; Geography; Accounting; Economic growth","score_opus":0.0542558933687782,"score_gpt":0.24388960688645478,"score_spread":0.18963371351767658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407021395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94612217,0.000039279683,0.00062166865,0.0035971692,0.0002917166,0.0000714948,0.000021575408,0.00001162669,0.049223326],"genre_scores_gemma":[0.99951726,0.00006431092,0.0000946365,0.000100017896,0.00010577076,0.00001343466,1.5274529e-7,0.000005436168,0.00009899521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99911445,0.000014973219,0.00023568535,0.00028886856,0.00005380127,0.0002922112],"domain_scores_gemma":[0.99966234,0.00004726434,0.00008840046,0.00013429679,0.000018935356,0.000048747464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016519316,0.00006737501,0.00013082169,0.00008151791,0.00026363583,0.00009949313,0.00028012597,0.000022603634,0.000023515733],"category_scores_gemma":[0.00026926515,0.00004697677,0.000025345942,0.00050830306,0.00036196716,0.0004945205,0.00010731468,0.000068147005,0.00003158589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036713975,0.000011629858,0.046907097,0.0000036615988,0.0000021296244,0.0000020601624,0.0013753065,3.1011623e-7,0.0001936943,0.846387,0.0000027955011,0.1051106],"study_design_scores_gemma":[0.00019707954,0.0000090407375,0.87881124,0.000010349182,8.102748e-7,6.3875274e-7,0.00036594312,0.00020376654,0.000031644617,0.11910635,0.0011416888,0.00012147077],"about_ca_topic_score_codex":0.00014583346,"about_ca_topic_score_gemma":0.000041583644,"teacher_disagreement_score":0.8319041,"about_ca_system_score_codex":0.00010805294,"about_ca_system_score_gemma":0.000026836193,"threshold_uncertainty_score":0.20277002},"labels":[],"label_agreement":null},{"id":"W2419837394","doi":"10.1016/j.ssresearch.2016.06.013","title":"Do legal school leaving rules still affect schooling and earnings?","year":2016,"lang":"en","type":"article","venue":"Social Science Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Affect (linguistics); Earnings; Demographic economics; Psychology; Economics; Accounting","score_opus":0.07365250946266348,"score_gpt":0.3613982982790046,"score_spread":0.2877457888163411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419837394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629636,0.00035708552,0.00044281443,0.0016519909,0.00016139598,0.00015403124,0.000047663976,0.000029937759,0.03419152],"genre_scores_gemma":[0.9981607,0.0003089134,0.00019198353,0.00003214261,0.0002890718,0.0000134617885,5.419218e-7,0.000013549026,0.0009896358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978127,0.00010126275,0.00030087074,0.00063325255,0.0002945232,0.00085738505],"domain_scores_gemma":[0.9989072,0.0002832385,0.000114469985,0.00022397812,0.00020306838,0.00026803132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012852242,0.00010549274,0.00022828621,0.00042220028,0.0010794674,0.0006796966,0.00052791147,0.000090248635,0.00024295195],"category_scores_gemma":[0.004694406,0.00008694387,0.00005541038,0.0009746104,0.0010985829,0.00090602005,0.00042844279,0.00036957586,0.00031700893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014574108,0.000021300326,0.27966088,0.000015454978,0.0000070144315,0.0000049042446,0.00033164592,3.331239e-7,0.001840503,0.7018591,0.00009198532,0.0161523],"study_design_scores_gemma":[0.0005115381,0.000080727754,0.78592896,0.000061639344,0.0000013920056,0.0000025078111,0.00035136327,0.00022867223,0.00012992957,0.19381918,0.0185546,0.00032950615],"about_ca_topic_score_codex":0.0007759394,"about_ca_topic_score_gemma":0.000019032168,"teacher_disagreement_score":0.50803995,"about_ca_system_score_codex":0.00039953194,"about_ca_system_score_gemma":0.00020441064,"threshold_uncertainty_score":0.83024997},"labels":[],"label_agreement":null},{"id":"W24248046","doi":"10.7202/028631ar","title":"The Canadian Experiment with Voluntary Incomes Restraint, Degree of Labour Organization and Cyclical Sensitivity of Employement","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Differential (mechanical device); Turnover; Labour economics; Distribution (mathematics)","score_opus":0.025288751784224787,"score_gpt":0.21738441332598918,"score_spread":0.19209566154176438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24248046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385464,0.00026992144,0.0011252927,0.002746391,0.000033864046,0.00013187916,0.00020481445,0.000006337712,0.0016268761],"genre_scores_gemma":[0.99902713,0.00011521712,0.000458058,0.000022289756,0.000029697549,0.0000031202276,0.000018636361,0.000009297792,0.00031656012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992899,0.000036079757,0.00037968694,0.00013355423,0.000041909465,0.00011890944],"domain_scores_gemma":[0.9993094,0.00012935977,0.00021731868,0.00019168855,0.000089076566,0.00006315702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055874675,0.00007289012,0.00014625664,0.00009169236,0.00020447811,0.00001815788,0.00005884617,0.00009961234,0.000054167645],"category_scores_gemma":[0.00020792201,0.000061687926,0.000016558333,0.00028418732,0.00010432418,0.00007934507,0.000029061051,0.00012212069,0.000003053215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005214036,0.00002959253,0.6755725,0.00000186557,0.00003717615,7.171908e-7,0.00033239758,0.00039444474,0.0000125495235,0.3212815,0.000061283616,0.0022707658],"study_design_scores_gemma":[0.00036799855,0.00005329917,0.9736578,0.000014962183,0.000009810035,0.0000046549435,0.00035749792,0.003043734,0.0003319711,0.0048563653,0.01714525,0.00015668882],"about_ca_topic_score_codex":0.03609931,"about_ca_topic_score_gemma":0.11075649,"teacher_disagreement_score":0.3164251,"about_ca_system_score_codex":0.00012770036,"about_ca_system_score_gemma":0.000108900684,"threshold_uncertainty_score":0.9703194},"labels":[],"label_agreement":null},{"id":"W2466831408","doi":"10.7202/1036261ar","title":"Les écarts salariaux de genre au Cameroun","year":2016,"lang":"fr","type":"article","venue":"Revue multidisciplinaire sur l emploi le syndicalisme et le travail","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","score_opus":0.0381714764011404,"score_gpt":0.2607140811589676,"score_spread":0.2225426047578272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466831408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8745552,0.0097409,0.026645815,0.07763139,0.0031649573,0.0006704387,0.0028666756,0.00021702275,0.0045076064],"genre_scores_gemma":[0.9570859,0.004006627,0.001889291,0.00030938166,0.0009379785,0.00011364742,0.000106579406,0.00027370977,0.035276897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99305457,0.00069517485,0.0022198737,0.0018345637,0.0002248878,0.0019709198],"domain_scores_gemma":[0.9955157,0.0008457303,0.0010995271,0.0015504031,0.00022006653,0.0007685961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004473277,0.00089835556,0.0016825184,0.0003821308,0.00079286,0.00030406498,0.0010378269,0.0011251236,0.0005861585],"category_scores_gemma":[0.0012536088,0.00094743376,0.00088166806,0.0006255469,0.0010181117,0.00091546914,0.00054035906,0.0008919974,0.00059856416],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013283778,0.0018848383,0.34769878,0.0012911045,0.0005369467,0.00040299963,0.008078457,0.00017869032,0.0004078907,0.5075541,0.0012218822,0.13061148],"study_design_scores_gemma":[0.005035771,0.00026623506,0.8744253,0.0019044712,0.00011408241,0.00018381265,0.0006726134,0.0031725834,0.00016724235,0.02499397,0.08669964,0.0023642986],"about_ca_topic_score_codex":0.039131906,"about_ca_topic_score_gemma":0.017458199,"teacher_disagreement_score":0.5267265,"about_ca_system_score_codex":0.0015556829,"about_ca_system_score_gemma":0.0011148354,"threshold_uncertainty_score":0.9992976},"labels":[],"label_agreement":null},{"id":"W2467149447","doi":"10.3386/w22387","title":"A Test of Adverse Selection in the Market for Experienced Workers","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; National Science Foundation","keywords":"Adverse selection; Test (biology); Selection (genetic algorithm); Business; Actuarial science; Computer science; Biology; Machine learning; Ecology","score_opus":0.2875142752307988,"score_gpt":0.46804032796171274,"score_spread":0.18052605273091393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467149447","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04614058,0.0006223346,0.00017291993,0.0011820329,0.0006336323,0.0017886608,0.0028892837,0.00000907705,0.94656146],"genre_scores_gemma":[0.99103403,0.00074422953,0.00023488252,0.000016861015,0.00036424218,0.00043245472,0.00010321865,0.000030698695,0.007039358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725556,0.0001020734,0.0014168586,0.0005248534,0.00032888504,0.000371788],"domain_scores_gemma":[0.9945899,0.0032938516,0.00091516884,0.00028377282,0.0008738334,0.00004344425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01681504,0.0001739547,0.00061401183,0.00093886495,0.00007960382,0.000021992566,0.0006502074,0.00032459892,0.0006597727],"category_scores_gemma":[0.0052373316,0.00014808218,0.00024973077,0.00035506752,0.00022951036,0.00016247964,0.000080646285,0.00034548537,0.000020211084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027142986,0.00030597314,0.12331594,0.00040267556,0.00015539906,0.0000011500814,0.00032182425,0.00008817822,0.000050996936,0.8434206,0.03076647,0.00089935254],"study_design_scores_gemma":[0.0011756071,0.00022273538,0.035697717,0.00018613001,0.000005657479,0.0000052211244,0.0002662111,0.0017983727,0.00004936327,0.91471523,0.045559596,0.0003181497],"about_ca_topic_score_codex":0.0018607106,"about_ca_topic_score_gemma":0.0005101679,"teacher_disagreement_score":0.9448935,"about_ca_system_score_codex":0.0014582269,"about_ca_system_score_gemma":0.0013466772,"threshold_uncertainty_score":0.7224049},"labels":[],"label_agreement":null},{"id":"W2469110217","doi":"","title":"Which Fields Pay, Which Fields Don't? An Examination of the Returns to University Education in Canada by Detailed Field of Study","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rate of return; Earnings; Census; Bachelor; Field (mathematics); Investment (military); Economics; Sample (material); Demographic economics; Actuarial science; Econometrics; Geography; Sociology; Finance; Political science; Mathematics; Demography","score_opus":0.010330269118818354,"score_gpt":0.22108347253011837,"score_spread":0.21075320341130002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469110217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98166966,0.000010944197,0.0010269145,0.00091330166,0.00027741483,0.00026603113,0.000037748803,0.0000030650813,0.015794933],"genre_scores_gemma":[0.998824,0.0000104066075,0.00006989969,0.00020166938,0.000013512887,0.0000011500713,0.0000073500983,0.0000041154667,0.0008678819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991559,0.00004409372,0.00041513302,0.00019857335,0.000057448822,0.00012885427],"domain_scores_gemma":[0.9991471,0.000118028554,0.0001973006,0.00034659958,0.00014326988,0.000047700953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010286025,0.00007292825,0.00020084837,0.00010144735,0.000032320168,0.00000791462,0.0002630172,0.0000825581,0.00014946141],"category_scores_gemma":[0.0002001792,0.00006393552,0.00002152738,0.00063109363,0.000005147754,0.000102538506,0.00005901413,0.00013570517,4.337203e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003163143,0.00026013522,0.986239,0.00001551978,0.00001169714,2.9024488e-7,0.00082586764,0.000054113287,0.000011017152,0.009922432,0.00030102968,0.0023272403],"study_design_scores_gemma":[0.00024157202,0.00011747687,0.99388313,0.000007634955,0.0000037828688,1.2217714e-7,0.0033693765,0.0005394407,0.0002925359,0.001123971,0.00031925106,0.000101727266],"about_ca_topic_score_codex":0.79756415,"about_ca_topic_score_gemma":0.9955955,"teacher_disagreement_score":0.19803138,"about_ca_system_score_codex":0.0002070729,"about_ca_system_score_gemma":0.0003062309,"threshold_uncertainty_score":0.2607215},"labels":[],"label_agreement":null},{"id":"W24694033","doi":"10.7202/028505ar","title":"Factors Determining Wage Differentials in the Americas","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Labour economics; Econometrics","score_opus":0.07761745021395079,"score_gpt":0.2647760645595628,"score_spread":0.18715861434561204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24694033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790479,0.0002328941,0.0010908161,0.0016693018,0.00009973834,0.00012486281,0.000078047095,0.000019395417,0.017637044],"genre_scores_gemma":[0.99878323,0.000050835602,0.00014680586,0.00014178711,0.00008675637,0.000013057133,0.000026704809,0.000010862061,0.0007399517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902195,0.000047223002,0.00049862074,0.00020178141,0.000037751615,0.00019270094],"domain_scores_gemma":[0.99918634,0.00029475006,0.00019932161,0.00027841932,0.00001079474,0.000030361432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004969249,0.000111514375,0.00019832645,0.00015365997,0.00013674967,0.00007615813,0.00021989613,0.00013239137,0.0003780379],"category_scores_gemma":[0.00025911632,0.000089567766,0.00006693596,0.0003919888,0.000043755805,0.00016141047,0.000034245735,0.00029856668,0.00010069339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017533312,0.000091186026,0.7910106,6.464484e-7,0.000017483888,0.0000016274566,0.0019961186,0.0004695203,0.0000026904274,0.19842045,0.00029137035,0.0076965345],"study_design_scores_gemma":[0.00037705048,0.000025492294,0.8874215,0.000014105514,0.000008034997,0.0000013068253,0.001161894,0.0060983254,0.000019699073,0.017979395,0.08659506,0.00029814398],"about_ca_topic_score_codex":0.00012402133,"about_ca_topic_score_gemma":0.00006602569,"teacher_disagreement_score":0.18044105,"about_ca_system_score_codex":0.00006792437,"about_ca_system_score_gemma":0.000015854732,"threshold_uncertainty_score":0.413925},"labels":[],"label_agreement":null},{"id":"W246946","doi":"10.2139/ssrn.1094575","title":"Job Security and Wage Differentials","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wage; Labour economics; Job security; Business; Economics; Work (physics); Engineering","score_opus":0.007257881234057738,"score_gpt":0.19733546809940983,"score_spread":0.1900775868653521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W246946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784143,0.0064900145,0.0048636463,0.000622584,0.00022962278,0.000070452916,0.000046573627,0.000020324407,0.009242455],"genre_scores_gemma":[0.9945105,0.0036649164,0.000036345886,0.00006670927,0.00030613906,0.0000025739255,0.0000069441667,0.000019202971,0.0013866865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788475,0.000033940134,0.00051573396,0.000245969,0.00004390742,0.0012756884],"domain_scores_gemma":[0.99944246,0.000032259257,0.0002746541,0.00016162929,0.000028319319,0.00006065089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020385322,0.000141459,0.00029637688,0.00011511344,0.00017569569,0.00014046724,0.00016607138,0.00008586627,0.00009198006],"category_scores_gemma":[0.000045221288,0.00014281884,0.00010032978,0.00011319828,0.000041411135,0.00017538485,0.000047441612,0.00080616603,0.000031939122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010126479,0.00004044555,0.08144236,0.000004442639,0.000041604948,0.0000021295323,0.0000338678,0.0000019481852,0.000018145345,0.9176057,0.00003293445,0.0007662867],"study_design_scores_gemma":[0.00048231732,0.000053865806,0.044749375,0.000003876825,0.0000067124515,0.000058928912,0.000058512633,0.00024011724,0.0000069930193,0.9519446,0.002214977,0.00017975876],"about_ca_topic_score_codex":0.00073046295,"about_ca_topic_score_gemma":0.0014980446,"teacher_disagreement_score":0.036692988,"about_ca_system_score_codex":0.0003243882,"about_ca_system_score_gemma":0.000106686326,"threshold_uncertainty_score":0.58239836},"labels":[],"label_agreement":null},{"id":"W247315569","doi":"","title":"The Job Market Remains Strong in 1999","year":2000,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonfarm payrolls; Recession; Economics; Unemployment; Payroll; Minimum wage; Labour economics; Quarter (Canadian coin); Interest rate; Job loss; Consumer confidence index; Gross domestic product; Demographic economics; Monetary economics; Economic growth; Geography; Agriculture; Macroeconomics","score_opus":0.01851687056235727,"score_gpt":0.2372015386854815,"score_spread":0.21868466812312423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W247315569","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11168382,0.54657924,0.000011752998,0.009123301,0.00030162034,0.0007897661,0.0006549222,0.000047489782,0.3308081],"genre_scores_gemma":[0.32428926,0.65248984,0.0002335787,0.0041157003,0.00015399844,0.00018746268,0.00003658194,0.000059496713,0.018434083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800175,0.00011480194,0.0010037373,0.00039529108,0.00005982679,0.00042460512],"domain_scores_gemma":[0.9987869,0.00013857051,0.00022092107,0.0007423041,0.000029512865,0.0000817539],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027956467,0.00019083753,0.00055968406,0.000049892078,0.00013954814,0.00008909604,0.0004452989,0.00006842734,0.0026043954],"category_scores_gemma":[0.00027228662,0.0001552284,0.00014737925,0.0005636873,0.000053593794,0.00015387063,0.000046193178,0.00023330859,0.00035399123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005439136,0.00015527064,0.120589145,0.0010569999,0.00007767429,0.000044934048,0.00009581497,0.00004409918,4.1804847e-7,0.7549663,0.021349233,0.1015657],"study_design_scores_gemma":[0.00023471545,0.000016651135,0.11453217,0.00042276023,0.000006268293,7.9143086e-7,0.0000049563196,0.00072975864,1.8440211e-7,0.018664934,0.8651723,0.0002144641],"about_ca_topic_score_codex":0.0005267427,"about_ca_topic_score_gemma":0.0015047091,"teacher_disagreement_score":0.84382313,"about_ca_system_score_codex":0.00011800259,"about_ca_system_score_gemma":0.000024219236,"threshold_uncertainty_score":0.99830735},"labels":[],"label_agreement":null},{"id":"W2474620265","doi":"10.1093/socpro/spx024","title":"Basic Income in a Small Town: Understanding the Elusive Effects on Work","year":2017,"lang":"en","type":"article","venue":"Social Problems","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Basic income; Work (physics); Sociology; Economics; Engineering; Market economy","score_opus":0.0685478737164591,"score_gpt":0.2504356330387042,"score_spread":0.1818877593222451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474620265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92501014,0.00016431058,0.0012359979,0.0064129466,0.0008310455,0.00054785894,0.000041459207,0.000026761109,0.065729484],"genre_scores_gemma":[0.9988509,0.000036021902,0.000025355235,0.00034733635,0.00025304614,0.000044635493,0.0000034824227,0.000019896133,0.0004193676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896246,0.00004482857,0.0003402914,0.0002992171,0.00003646543,0.00031674604],"domain_scores_gemma":[0.99899554,0.00017702236,0.00039283631,0.00038454533,0.000013397558,0.000036634487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012939143,0.00013833237,0.00029987333,0.00007722968,0.0007409281,0.00028235224,0.00046354393,0.00012400468,0.000034995035],"category_scores_gemma":[0.00027143507,0.00012182774,0.00010516533,0.00015493836,0.000098702825,0.000111901645,0.00014411076,0.00029500725,0.00005472906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025017389,0.000038189224,0.14806536,0.000043364955,0.000028837061,0.000006594799,0.001685319,0.000032017866,0.000001895231,0.8487996,0.000053432952,0.0012203606],"study_design_scores_gemma":[0.0005676262,0.000034901357,0.20901193,0.000059166858,0.0000027423448,1.3899923e-7,0.00007918196,0.00017347645,0.0000021009234,0.7892357,0.0006577533,0.00017529154],"about_ca_topic_score_codex":0.00057866424,"about_ca_topic_score_gemma":0.0007398095,"teacher_disagreement_score":0.07384072,"about_ca_system_score_codex":0.00036999566,"about_ca_system_score_gemma":0.000018273306,"threshold_uncertainty_score":0.56986946},"labels":[],"label_agreement":null},{"id":"W247499204","doi":"10.2139/ssrn.2600173","title":"Worker Reallocation Across Occupations: Confronting Data with Theory","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Economics; Labour economics; Sociology","score_opus":0.0470396370441723,"score_gpt":0.28181235100682245,"score_spread":0.23477271396265015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W247499204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61656904,0.007234732,0.36451814,0.001135359,0.00044309837,0.00019747665,0.00018721429,0.00005179485,0.009663161],"genre_scores_gemma":[0.9962375,0.0010146718,0.0006783691,0.00013664151,0.00023147457,0.0000048165684,0.00009351205,0.000026170797,0.0015768192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978105,0.000066940906,0.0004964419,0.00032597582,0.00007569768,0.001224476],"domain_scores_gemma":[0.99864966,0.000057131623,0.00047972734,0.000582328,0.00013055271,0.00010058822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010595639,0.00013145067,0.00022985994,0.00006858998,0.00019949312,0.00018427389,0.00055019325,0.00007169978,0.000021474547],"category_scores_gemma":[0.00034822352,0.00011943327,0.000035648303,0.0002267809,0.000051646126,0.00061243493,0.00010719886,0.0008060563,0.00005971394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010448519,0.000044547705,0.09283018,0.000002378671,0.0001150278,0.0000016108863,0.00030734658,0.00007318892,4.5956267e-7,0.8983781,0.00008089249,0.008061803],"study_design_scores_gemma":[0.00089353765,0.00010965721,0.0067209094,0.000014745169,0.000011012002,0.000074191485,0.0021512208,0.0027731583,7.136631e-7,0.97999084,0.0070421635,0.0002178398],"about_ca_topic_score_codex":0.00022727669,"about_ca_topic_score_gemma":0.001492231,"teacher_disagreement_score":0.3796685,"about_ca_system_score_codex":0.00062187674,"about_ca_system_score_gemma":0.00072156964,"threshold_uncertainty_score":0.48703474},"labels":[],"label_agreement":null},{"id":"W2475465371","doi":"","title":"Essays on the production of human capital","year":2005,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; Universitetet i Oslo; Universitetet i Bergen; Queen's University","keywords":"Production (economics); Human capital; Economics; Economic growth; Microeconomics","score_opus":0.04339303485459189,"score_gpt":0.26883182150365736,"score_spread":0.22543878664906547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475465371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8588133,0.00012108036,0.000041094063,0.00070274726,0.0001905198,0.00038042304,0.000658742,0.000009444992,0.13908269],"genre_scores_gemma":[0.9856152,0.00046153116,0.00013777774,0.0000065744885,0.000097950266,0.0000025737977,0.0004944705,0.00002107653,0.013162851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99848354,0.0001859381,0.00032198618,0.00047271868,0.00022577755,0.00031006726],"domain_scores_gemma":[0.99828,0.00030061108,0.0004962358,0.0006037681,0.00024833158,0.00007107044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022312854,0.00015116711,0.0004233041,0.0006697238,0.00041765595,0.00002080902,0.0007169498,0.00013703259,0.0008290588],"category_scores_gemma":[0.00045808256,0.00016399214,0.00020967994,0.0003783012,0.0003360524,0.00012313879,0.00011550238,0.00071931694,0.00009815398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020631142,0.00024735695,0.0016672021,0.00021212586,0.00012516696,0.000005974209,0.005401873,0.00001231144,0.000705478,0.98846877,0.0020164496,0.0009309913],"study_design_scores_gemma":[0.0005681579,0.0006039207,0.18157177,0.00034538677,0.000022633225,8.525533e-7,0.01556964,0.00037124846,0.00030963682,0.7927368,0.0074236025,0.00047633162],"about_ca_topic_score_codex":0.0024279177,"about_ca_topic_score_gemma":0.004611058,"teacher_disagreement_score":0.19573194,"about_ca_system_score_codex":0.00011639772,"about_ca_system_score_gemma":0.00008330064,"threshold_uncertainty_score":0.9077613},"labels":[],"label_agreement":null},{"id":"W2475874152","doi":"","title":"The wage premium from parents’ investments in the education of their children in Poland","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Vocational education; Wage; Investment (military); Economics; Quarter (Canadian coin); Labour economics; Demographic economics; Formal education; Psychology; Economic growth; Political science; Pedagogy; Finance; Geography","score_opus":0.03062702377514568,"score_gpt":0.28384980313039376,"score_spread":0.25322277935524806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475874152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500403,0.0011917735,0.0000017508899,0.0009285503,0.0004970739,0.001065996,0.001213113,0.0000057111097,0.045055766],"genre_scores_gemma":[0.9838979,0.014949915,0.000036727364,0.0001450869,0.00015707294,0.00031186186,0.00019273712,0.000037657395,0.0002709892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965481,0.00044908226,0.0014540888,0.00083098916,0.00009763937,0.00062009296],"domain_scores_gemma":[0.99664396,0.0010761836,0.0006311004,0.0015246856,0.000050218765,0.000073865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005638589,0.0002858141,0.0006302132,0.00047235587,0.000101458936,0.00017313872,0.0015579101,0.00035548824,0.00003163259],"category_scores_gemma":[0.00062689144,0.00020270917,0.00015253505,0.00021732667,0.0002586999,0.00012381119,0.0007525488,0.0011584936,0.0000086347145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007472346,0.00033984057,0.9220993,0.00003158661,0.000072736606,0.000001478752,0.0012744615,0.000102196,0.0000047574076,0.0433845,0.000017128807,0.032597285],"study_design_scores_gemma":[0.000488695,0.000018381688,0.69359833,0.0001485471,0.0000014356744,4.5566608e-7,0.00040619072,0.00052987394,0.0000063725793,0.30286545,0.0017385008,0.00019780995],"about_ca_topic_score_codex":0.0041423263,"about_ca_topic_score_gemma":0.003307986,"teacher_disagreement_score":0.25948092,"about_ca_system_score_codex":0.0008546349,"about_ca_system_score_gemma":0.00040127154,"threshold_uncertainty_score":0.826624},"labels":[],"label_agreement":null},{"id":"W2476595888","doi":"10.2139/ssrn.2820610","title":"Long-Run Sectoral Reallocation, Job to Job Transitions, and Earnings Inequality: An Empirical Investigation","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Earnings; Labour economics; Inequality; Job creation; Economics; Empirical research; Demographic economics; Mathematics; Accounting","score_opus":0.025037020787820954,"score_gpt":0.2608649607616859,"score_spread":0.23582793997386498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476595888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90779954,0.00031930854,0.07919353,0.012156129,0.00013288263,0.00012935781,0.00004564739,0.00003499609,0.00018860697],"genre_scores_gemma":[0.99704146,0.0009719856,0.00030113643,0.0007381884,0.0002650573,0.000010995602,0.000013494751,0.000030177669,0.00062747434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976108,0.00014059729,0.0006952266,0.00040407493,0.00008770188,0.0010615699],"domain_scores_gemma":[0.9990234,0.00005839865,0.00027612713,0.00024987682,0.000118485004,0.00027375948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00415486,0.0001767627,0.00030345644,0.0002446238,0.00023751412,0.0001256091,0.00020445412,0.00012516287,0.00006487126],"category_scores_gemma":[0.00027525186,0.00015442428,0.0000733802,0.00030349477,0.000064189495,0.00057946646,0.000029592764,0.0005882744,0.000045936937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040343402,0.00003001759,0.7124159,0.000007213511,0.000048979717,0.0000017503236,0.00047166148,0.000007971857,0.0001612103,0.28314534,0.000034055498,0.0036355911],"study_design_scores_gemma":[0.000530714,0.00026819008,0.5264041,0.000018125236,0.000008197137,0.000059323243,0.00010919835,0.00011258086,0.000010372224,0.4714795,0.0007774335,0.0002222944],"about_ca_topic_score_codex":0.00036848418,"about_ca_topic_score_gemma":0.0027606296,"teacher_disagreement_score":0.18833417,"about_ca_system_score_codex":0.00069214177,"about_ca_system_score_gemma":0.0004095024,"threshold_uncertainty_score":0.62972397},"labels":[],"label_agreement":null},{"id":"W2477246432","doi":"","title":"Current Problems in the Technical and Vocational Education Management System in Kazakhstan","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Quality (philosophy); Engineering management; Computer science; Management system; Knowledge management; Political science; Engineering ethics; Operations management; Engineering; Law; Epistemology","score_opus":0.022537788984442555,"score_gpt":0.24673473051012043,"score_spread":0.22419694152567787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477246432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802151,0.0042716367,0.005381138,0.0043748077,0.00022313296,0.00014990302,0.0000059315416,0.0000030691194,0.005375321],"genre_scores_gemma":[0.9984152,0.0012981767,0.00006264608,0.00012993698,0.000038467133,0.0000056857803,4.5827426e-7,0.000003825745,0.00004562948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99925643,0.00007957707,0.00046165942,0.00007597494,0.000042088108,0.00008427463],"domain_scores_gemma":[0.9994475,0.00014102763,0.00026226597,0.00011219733,0.000021401303,0.000015558118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026299031,0.000059590613,0.00013238158,0.00011204984,0.000023169936,0.000039568582,0.0002189106,0.000021307855,0.0000065605122],"category_scores_gemma":[0.000024619008,0.000031349642,0.000020662497,0.0000905853,0.000037217622,0.00007905874,0.000052379182,0.00014270522,0.0000014907592],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003240437,0.00012906881,0.13142504,0.00009355618,0.000016407259,0.0000012682907,0.00121826,0.000005605143,0.000006425439,0.7672206,0.0002246567,0.0996267],"study_design_scores_gemma":[0.0006397259,0.00007194522,0.8769275,0.0010889982,0.000009514075,0.00010183963,0.0006544254,0.00036419896,0.0000012691071,0.110139735,0.009888591,0.00011224039],"about_ca_topic_score_codex":0.00010706173,"about_ca_topic_score_gemma":0.00008368129,"teacher_disagreement_score":0.7455025,"about_ca_system_score_codex":0.00008973724,"about_ca_system_score_gemma":0.000009523331,"threshold_uncertainty_score":0.12784013},"labels":[],"label_agreement":null},{"id":"W2477765398","doi":"","title":"Vocational and Academic Effects on Gender Segregation in VET - a Three Country Comparison, Germany, Norway and Canada","year":2014,"lang":"en","type":"article","venue":"XVIII ISA World Congress of Sociology (July 13-19, 2014)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Apprenticeship; Labour economics; Demographic economics; Political science; Business; Economic growth; Geography; Economics","score_opus":0.021364189016068107,"score_gpt":0.25379637654684445,"score_spread":0.23243218753077635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477765398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910875,0.0024995033,0.00021015319,0.0014138399,0.00064205204,0.00027160067,0.00027483172,0.000013598747,0.0035868972],"genre_scores_gemma":[0.9972581,0.00022228065,0.000096651966,0.0019532214,0.00011075213,0.000036381425,0.00007951407,0.000019680278,0.00022339314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982128,0.00012662933,0.00075400143,0.00049393374,0.00008035841,0.00033227354],"domain_scores_gemma":[0.9979751,0.0009750104,0.00058186456,0.00027823757,0.00005767426,0.00013210786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012347348,0.00022673709,0.00065607653,0.00021638256,0.00013288956,0.000020823349,0.00021802171,0.0002604382,0.00004226089],"category_scores_gemma":[0.0003212398,0.00024637458,0.000037343903,0.00010963976,0.0004016572,0.00012094241,0.00009651186,0.0005017205,0.000016854989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038717648,0.000026134287,0.6621548,0.00011369662,0.000048881513,0.0000018006754,0.00021583511,0.00005678562,0.000016871561,0.33201775,0.0048127347,0.0004960055],"study_design_scores_gemma":[0.0012488428,0.0000505529,0.87858707,0.000033707507,0.000011904259,0.0000021082074,0.0000247724,0.0037709272,0.00001476534,0.10571097,0.010264733,0.0002796529],"about_ca_topic_score_codex":0.05130785,"about_ca_topic_score_gemma":0.16993394,"teacher_disagreement_score":0.22630678,"about_ca_system_score_codex":0.00017116124,"about_ca_system_score_gemma":0.00012318022,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W2478527792","doi":"","title":"MOVING D OWN: WOMEN'S P ART-TIME W ORK A ND OCCUPATIONAL C HANGE I N B RITAIN 1991-2001*","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Part-time employment; Quarter (Canadian coin); Working time; Work time; Full-time; Duration (music); Work hours; Psychology; Domestic work; Demographic economics; Working hours; Labour economics; Economics; History; Economic growth; Art; Engineering","score_opus":0.017213866725447377,"score_gpt":0.2156075562874833,"score_spread":0.1983936895620359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478527792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839563,0.002810505,0.004702723,0.0010237488,0.00032651544,0.00014154952,0.0001175654,0.000047781985,0.00687335],"genre_scores_gemma":[0.9814543,0.003634518,0.000326151,0.0005018963,0.0005762606,0.000020457172,0.00005044218,0.00004664683,0.013389315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959658,0.000069199996,0.00080555194,0.00040597262,0.00013246607,0.0026210546],"domain_scores_gemma":[0.99877536,0.00009739275,0.00053807866,0.0003023425,0.00008559261,0.00020124717],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003971436,0.00025064475,0.00047131616,0.000297234,0.00048204052,0.00010360616,0.00039447504,0.00014372788,0.00096880697],"category_scores_gemma":[0.0002879094,0.00026897484,0.00019745385,0.0004045072,0.00007729996,0.000484282,0.0000673613,0.0012805057,0.0008616494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020125348,0.00032534017,0.12304964,0.000015198979,0.0003861697,0.000050113544,0.00061305106,0.00014044627,0.000048194182,0.8703469,0.0020579312,0.0027657743],"study_design_scores_gemma":[0.0013883164,0.00031818444,0.029250521,0.000018064695,0.00000875817,0.00052859803,0.00022088762,0.0028171302,0.000002710722,0.9177093,0.0471256,0.0006119485],"about_ca_topic_score_codex":0.00013584795,"about_ca_topic_score_gemma":0.00017375282,"teacher_disagreement_score":0.09379912,"about_ca_system_score_codex":0.0023422046,"about_ca_system_score_gemma":0.00071747793,"threshold_uncertainty_score":0.9999762},"labels":[],"label_agreement":null},{"id":"W2488469604","doi":"10.1057/9780230629257_9","title":"Spanish Unemployment — a Hiring Function Approach: GARCH-M Model","year":2002,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Economics; Unemployment rate; Phenomenon; Demographic economics; Economy; Geography; Macroeconomics","score_opus":0.056220580821311684,"score_gpt":0.21328426342716322,"score_spread":0.15706368260585155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488469604","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049756904,0.001561549,0.014718798,0.000052047497,0.00053310033,0.00068439124,0.0011178796,0.0001590542,0.98067564],"genre_scores_gemma":[0.93134636,0.00045028207,0.0011496008,0.00034906255,0.00036421343,0.00007076756,0.00020332013,0.00021697517,0.06584944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964746,0.000018584738,0.0013491707,0.0012907886,0.00018454093,0.000682304],"domain_scores_gemma":[0.9975176,0.00005175723,0.0008963076,0.0011849724,0.00009029709,0.000259053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070740166,0.00077811145,0.0011772625,0.0004424827,0.00019623489,0.0001650274,0.00049917615,0.00063215574,0.00084648683],"category_scores_gemma":[0.000029026103,0.00090457627,0.0005518985,0.00003647289,0.00014545396,0.000002425945,0.0002991437,0.00067187916,0.0005006554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003561325,0.0000025867907,0.0003124762,0.0001247984,0.00025208504,0.000013701166,0.00014862439,0.000294533,0.0000026153298,0.99528176,0.000036919024,0.0034942913],"study_design_scores_gemma":[0.0005258858,0.00008037278,0.00015159049,0.000064051776,0.0000575233,0.000007877861,0.0000061160395,0.04244639,0.0000018663487,0.94947696,0.006177093,0.001004294],"about_ca_topic_score_codex":0.000109060835,"about_ca_topic_score_gemma":0.00003874079,"teacher_disagreement_score":0.9308488,"about_ca_system_score_codex":0.000362373,"about_ca_system_score_gemma":0.000036825295,"threshold_uncertainty_score":0.9993405},"labels":[],"label_agreement":null},{"id":"W2491256517","doi":"10.1108/s1049-258520150000023005","title":"The Role of Skills in Understanding Low Income in Canada","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Low income; Demographic economics; Population; Immigration; Psychology; Political science; Economics; Sociology; Demography","score_opus":0.02701041316356757,"score_gpt":0.1976915168626822,"score_spread":0.17068110369911463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491256517","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007101357,0.002387498,0.00007813938,0.0001596779,0.00032832124,0.00019749488,0.0003978026,0.0000042729025,0.98934543],"genre_scores_gemma":[0.9556054,0.0006547675,0.000013552113,0.00004379816,0.00002323764,0.0000036510958,0.000014483369,0.000027846947,0.04361327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984607,0.000009582993,0.0009550644,0.00026831846,0.00006839738,0.00023794554],"domain_scores_gemma":[0.99891067,0.00019060925,0.00044639275,0.00036808947,0.00002778678,0.000056440713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010761922,0.00017904886,0.0005463583,0.0001939607,0.00002530591,0.0000231766,0.00029914285,0.0001489498,0.0002178441],"category_scores_gemma":[0.00007238832,0.00016161709,0.00005926924,0.00007500737,0.000042677075,0.000052082218,0.00010207786,0.0002814222,0.000010991081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006942898,0.000007429042,0.04959067,0.000015242079,0.000016777403,0.0000059940735,0.000034987337,0.00004556668,3.829808e-8,0.9498439,0.00004477176,0.00038771497],"study_design_scores_gemma":[0.00024071992,0.000008721486,0.0037294312,0.00006582324,0.0000012098584,3.5231017e-7,0.00008315698,0.0008009003,5.1389725e-7,0.96962875,0.02522706,0.00021334561],"about_ca_topic_score_codex":0.7651187,"about_ca_topic_score_gemma":0.98309493,"teacher_disagreement_score":0.94850403,"about_ca_system_score_codex":0.0029306973,"about_ca_system_score_gemma":0.00048330764,"threshold_uncertainty_score":0.76636714},"labels":[],"label_agreement":null},{"id":"W2493046760","doi":"10.2139/ssrn.2534431","title":"Job-Security Provisions and Incomplete Markets","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Business; Job security; Work (physics); Engineering","score_opus":0.009344052493085833,"score_gpt":0.20910727945786614,"score_spread":0.1997632269647803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493046760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616451,0.0027042828,0.015731316,0.0019638669,0.0002887386,0.0001191006,0.000034979053,0.000028279632,0.01748431],"genre_scores_gemma":[0.99538773,0.0033468779,0.00014983607,0.00022130914,0.00021325519,0.000004033753,0.0000038220505,0.000022086395,0.0006510246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977238,0.00007581743,0.0005167837,0.00029805565,0.00005312804,0.0013323948],"domain_scores_gemma":[0.9992052,0.000088834844,0.00029852675,0.00023891288,0.0000427834,0.00012577682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051270435,0.00015224272,0.00031317523,0.00014355729,0.00025980276,0.00013107673,0.00024394366,0.000086089836,0.00006690926],"category_scores_gemma":[0.00031541826,0.00015294092,0.000095798336,0.00014439906,0.00005431735,0.00021558336,0.00008731797,0.0010726078,0.000046164598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001931101,0.000028447104,0.053282484,0.000007529888,0.000046275134,7.431402e-7,0.000057987927,0.0000012199396,0.0000043961613,0.9410097,0.000035638168,0.0055062906],"study_design_scores_gemma":[0.00053060974,0.00011665363,0.0356843,0.000007547343,0.0000055413307,0.00007721103,0.000056193017,0.0025027145,8.324551e-7,0.94236195,0.018458521,0.00019790289],"about_ca_topic_score_codex":0.00016443213,"about_ca_topic_score_gemma":0.00049763685,"teacher_disagreement_score":0.033742625,"about_ca_system_score_codex":0.00030432545,"about_ca_system_score_gemma":0.00015531448,"threshold_uncertainty_score":0.623675},"labels":[],"label_agreement":null},{"id":"W2493906912","doi":"","title":"What Does the Changing Sectoral Composition of the Economy Mean for Workers","year":2016,"lang":"en","type":"article","venue":"Chicago Fed Letter","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Business; Economics; Manufacturing; Demographic economics; Marketing","score_opus":0.01869471902558053,"score_gpt":0.21603200403713121,"score_spread":0.19733728501155068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493906912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208532,0.000113624264,0.0053035794,0.07097893,0.0013614612,0.00034997804,0.00015688081,0.0000138910245,0.00086843915],"genre_scores_gemma":[0.99300045,0.000019554194,0.00008186643,0.006137674,0.0003621106,0.000043927943,0.0000065144113,0.000017009834,0.00033091631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991532,0.00003089893,0.00033960075,0.00022426895,0.000022945891,0.0002290857],"domain_scores_gemma":[0.99908686,0.00017744259,0.00027718034,0.00040920448,0.000026237472,0.000023070863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397869,0.00010547998,0.0001969854,0.0000554755,0.00015252308,0.00009990475,0.00029011362,0.000060571765,0.00010976495],"category_scores_gemma":[0.000023178665,0.000049295417,0.0001761415,0.00010636118,0.0000977142,0.0002521427,0.00007095702,0.00007850802,0.000013890586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020588124,0.00012477563,0.23682162,0.00013666792,0.00034472445,0.0000010478465,0.0038389897,0.000028067008,0.0017104502,0.74441946,0.004796418,0.0075719184],"study_design_scores_gemma":[0.0026930051,0.00008179073,0.06353317,0.00032650543,0.00004224194,0.0000035804508,0.0005119303,0.0018601193,0.004462023,0.66296726,0.26271722,0.0008011669],"about_ca_topic_score_codex":0.000021646278,"about_ca_topic_score_gemma":0.000041151,"teacher_disagreement_score":0.2579208,"about_ca_system_score_codex":0.000055622066,"about_ca_system_score_gemma":0.000007111679,"threshold_uncertainty_score":0.20102087},"labels":[],"label_agreement":null},{"id":"W2494568658","doi":"","title":"Apprenticeship as a stepping stone to beter jobs: Evidence from brazilian matched employer-employee data","year":2016,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; International Development Research Centre","keywords":"Apprenticeship; Payroll; Employability; Subsidy; Wage; Control (management); Business; Identification (biology); Labour economics; Exploit; Regression discontinuity design; Demographic economics; Scale (ratio); Economics; Economic growth; Computer science; Accounting; Management","score_opus":0.07742774935265297,"score_gpt":0.2936780821301645,"score_spread":0.21625033277751154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494568658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456164,0.005638738,0.008095716,0.0026848535,0.008169491,0.0016081234,0.019754084,0.00036798388,0.0080646025],"genre_scores_gemma":[0.98742,0.0008086131,0.004896508,0.0014602598,0.0016982554,0.0002987991,0.0008591385,0.0002799454,0.0022784695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99016714,0.0003032178,0.0033103616,0.004433137,0.00031051604,0.0014756105],"domain_scores_gemma":[0.9878036,0.0014143967,0.0022849655,0.0073451167,0.00023827939,0.00091367995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0037556347,0.0013442343,0.0027636676,0.00086308556,0.00034298672,0.0009883563,0.0051718415,0.001147731,0.005199647],"category_scores_gemma":[0.002460187,0.0014906751,0.00061961554,0.00040036388,0.00043097438,0.0014500708,0.0060955696,0.0014781074,0.0062839403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012901281,0.00016514701,0.98462945,0.0002844778,0.0007658044,0.00005279193,0.0008668841,0.000024195942,0.00007189408,0.007521654,0.0044990126,0.0009896876],"study_design_scores_gemma":[0.0023112914,0.0002481115,0.760299,0.004086813,0.00032112803,0.00002855403,0.00022663514,0.0013529734,0.00011226422,0.19295721,0.032769464,0.005286529],"about_ca_topic_score_codex":0.004927202,"about_ca_topic_score_gemma":0.0020754132,"teacher_disagreement_score":0.22433041,"about_ca_system_score_codex":0.0011231655,"about_ca_system_score_gemma":0.0006558465,"threshold_uncertainty_score":0.99993086},"labels":[],"label_agreement":null},{"id":"W2499766653","doi":"10.1111/apce.2016.87.issue-2/issuetoc","title":"Voluntary work and wages","year":2014,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Economics; Human capital; Earnings; Wage; Work (physics); Turnover; Econometrics; Labour economics; Control (management); Estimation; Demographic economics","score_opus":0.018657206732486383,"score_gpt":0.2187360240088422,"score_spread":0.20007881727635582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499766653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464042,0.0077739633,0.0011519413,0.0013185955,0.005873209,0.0005484604,0.0014912473,0.00019623568,0.03524211],"genre_scores_gemma":[0.99247307,0.0010863212,0.0015396118,0.0009164289,0.0008621208,0.00011070823,0.00019403938,0.00012483988,0.0026928566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954794,0.0001175593,0.0017495728,0.0017744752,0.00009289237,0.0007861054],"domain_scores_gemma":[0.9962257,0.00036482757,0.0013450221,0.0015803295,0.000089066365,0.00039504422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020786703,0.00079885556,0.001763423,0.0005299137,0.00025584333,0.00037473737,0.0007862086,0.00090578734,0.001761995],"category_scores_gemma":[0.0003449505,0.00097231043,0.00045767325,0.00020216573,0.00049330323,0.00022920697,0.0011302691,0.0013127713,0.00062323705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026438915,0.00007782342,0.89649314,0.00022837246,0.00023283578,0.000017300803,0.00017113917,0.000049036247,7.3446506e-7,0.09799445,0.0039500347,0.0007587259],"study_design_scores_gemma":[0.0009775999,0.00006968216,0.73823506,0.0002248453,0.000066901426,0.000023285911,0.00003624139,0.0012967899,0.0000060609464,0.16540885,0.09170858,0.0019461233],"about_ca_topic_score_codex":0.0005645152,"about_ca_topic_score_gemma":0.00018272384,"teacher_disagreement_score":0.15825807,"about_ca_system_score_codex":0.00040746346,"about_ca_system_score_gemma":0.00015611494,"threshold_uncertainty_score":0.99927276},"labels":[],"label_agreement":null},{"id":"W2500022279","doi":"10.4018/978-1-4666-8729-5.ch017","title":"Differentiation of Skills and Unemployment","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Unemployment; Labour economics; Economics; Business; Economic growth","score_opus":0.011885412428834329,"score_gpt":0.21039309402652837,"score_spread":0.19850768159769402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500022279","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19933106,0.18331453,0.00014958519,0.00022719419,0.0014594721,0.0007098326,0.0016036986,0.00004481932,0.6131598],"genre_scores_gemma":[0.24107224,0.61269057,0.0007672319,0.000222704,0.00021648382,0.000045099154,0.00016967984,0.00013130668,0.1446847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977477,0.0000061840174,0.0012339432,0.0006796292,0.00003826876,0.00029425116],"domain_scores_gemma":[0.9980088,0.00006117342,0.0014440799,0.0003668509,0.00006597775,0.000053148076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054458407,0.00040444353,0.0010784682,0.0002860662,0.000075359996,0.00008416468,0.00019107238,0.00029999443,0.000085085376],"category_scores_gemma":[0.000046791632,0.0004911993,0.00008732267,0.000034996763,0.00029118074,0.0015268503,0.00019068253,0.0002337264,0.000011769104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003180222,0.000031380863,0.022802416,0.0001903404,0.00003634721,0.0000016141248,0.00017343607,0.00008709459,2.1363688e-7,0.97318953,0.0000620918,0.0033937537],"study_design_scores_gemma":[0.00036216053,0.00005500339,0.0028185777,0.0001033673,0.000010901711,0.0000026042287,0.000010710416,0.00015612438,0.00000288437,0.5019547,0.49415594,0.00036702125],"about_ca_topic_score_codex":0.000054300097,"about_ca_topic_score_gemma":0.00046792717,"teacher_disagreement_score":0.49409384,"about_ca_system_score_codex":0.00012488522,"about_ca_system_score_gemma":0.000041383882,"threshold_uncertainty_score":0.99975395},"labels":[],"label_agreement":null},{"id":"W2500339303","doi":"10.1016/j.econlet.2016.08.004","title":"The adverse effect of unemployment insurance on workers’ on-the-job effort and labor market outcomes","year":2016,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Layoff; Unemployment; Economics; Labour economics; Duration (music); Wage; Unemployment rate","score_opus":0.010441590653646865,"score_gpt":0.20286878553930549,"score_spread":0.19242719488565863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500339303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651652,0.000076210774,0.000017030829,0.02984338,0.0006677041,0.0003619642,0.00040570553,0.00001680477,0.0034460004],"genre_scores_gemma":[0.9952609,0.00041762975,0.000021032249,0.0033071567,0.000057897312,0.000056258683,0.0000016752033,0.000031793414,0.0008456574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984996,0.00006720515,0.0006474412,0.0004149278,0.00003655595,0.00033430924],"domain_scores_gemma":[0.99692804,0.0018483567,0.0004490307,0.0006923037,0.000012148806,0.000070095426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018904558,0.0002487981,0.00045982594,0.00008486786,0.00017233193,0.000052562908,0.00037298343,0.00006866699,0.00009348445],"category_scores_gemma":[0.00021865612,0.0001394404,0.00016907345,0.00008207704,0.00021506989,0.00010360185,0.000085733314,0.0001324489,0.0000870015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019485816,0.000017129521,0.8824614,0.0000117006375,0.00012621273,0.0000013511806,0.000034735873,0.000037408416,0.000010478777,0.11431456,0.0014041302,0.0013860269],"study_design_scores_gemma":[0.0013368195,0.00016576193,0.97291255,0.00004498952,0.000007248573,6.98756e-7,0.0000104530645,0.00013469948,0.00014297741,0.0077465544,0.017213652,0.00028357803],"about_ca_topic_score_codex":0.00006103909,"about_ca_topic_score_gemma":0.00003881288,"teacher_disagreement_score":0.10656801,"about_ca_system_score_codex":0.00015152428,"about_ca_system_score_gemma":0.000010338226,"threshold_uncertainty_score":0.56862146},"labels":[],"label_agreement":null},{"id":"W2501821415","doi":"","title":"Job Differences by Race and Ethnicity in the Low-Skill Job Market","year":2009,"lang":"en","type":"article","venue":"Issue Lab (Candid)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Ethnic group; Race (biology); Labour economics; Quarter (Canadian coin); Demographic economics; Psychology; Economics; Political science; Sociology; Gender studies","score_opus":0.014062278701557079,"score_gpt":0.2327049269647656,"score_spread":0.21864264826320853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501821415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503274,0.0033164965,0.00012406059,0.0073001427,0.00017003273,0.00022439647,0.00029810148,0.000025070542,0.038214274],"genre_scores_gemma":[0.99294853,0.001953891,0.00006270593,0.0018646459,0.000103672355,0.000012464054,0.000011497471,0.000012921019,0.0030296426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984876,0.00010738813,0.00052049645,0.0004418974,0.00007324107,0.0003693841],"domain_scores_gemma":[0.99912715,0.0002120063,0.00014876577,0.0004110734,0.000021849071,0.00007915403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014275565,0.00020764147,0.0004583119,0.000094328156,0.0001155628,0.0001660963,0.00038954848,0.00014468598,0.00048041774],"category_scores_gemma":[0.00018989776,0.00017006104,0.000060005677,0.00032236407,0.00006880972,0.00017183908,0.000054141663,0.00028690026,0.000039832295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012403337,0.0003358286,0.8125876,0.00006963587,0.000047245263,0.000034776986,0.0038413513,0.000004717593,0.00005743488,0.14579865,0.029723715,0.0073749954],"study_design_scores_gemma":[0.00075099576,0.00009636778,0.8789805,0.000027703538,0.0000057636735,0.0000034803613,0.00014519847,0.001392672,0.000013593526,0.07806659,0.040176604,0.0003405492],"about_ca_topic_score_codex":0.0017766057,"about_ca_topic_score_gemma":0.00093949656,"teacher_disagreement_score":0.06773207,"about_ca_system_score_codex":0.00005270772,"about_ca_system_score_gemma":0.000011274808,"threshold_uncertainty_score":0.69348884},"labels":[],"label_agreement":null},{"id":"W2507091412","doi":"10.1057/9780230504592_8","title":"The Class Structure of Britain, Germany, Sweden and Switzerland","year":2006,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; German; Welfare state; Wright; Labour economics; Welfare; Quarter (Canadian coin); Restructuring; Demographic economics; Political science; Economy; Sociology; Geography; Economics; Economic growth; Engineering; Law","score_opus":0.013912313539617674,"score_gpt":0.20431997744533248,"score_spread":0.1904076639057148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507091412","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015120186,0.0062281247,0.000074966716,0.0001145806,0.00041779198,0.00045294128,0.0029205245,0.00002955743,0.9746413],"genre_scores_gemma":[0.98513037,0.00059617596,0.00005700272,0.000100636214,0.0002401194,0.000005219932,0.000087634966,0.00008414533,0.013698722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99778366,0.0000187239,0.0011092409,0.0005947802,0.000108323475,0.00038524956],"domain_scores_gemma":[0.9978039,0.00018599007,0.0010111377,0.0007912011,0.00010212966,0.000105618594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043863544,0.0004580024,0.00085356866,0.00017009434,0.00020012211,0.0001335685,0.00042113112,0.00045446746,0.00011318164],"category_scores_gemma":[0.00003871283,0.00039280043,0.00023666007,0.000022170283,0.0003201098,0.0000011805744,0.00022257495,0.0003926016,0.000017011238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024359586,3.188692e-7,0.0029332736,0.00008714601,0.00015361742,0.0000115355015,0.0000553326,0.0000016775309,0.000019595436,0.99506795,0.00005545806,0.0015897171],"study_design_scores_gemma":[0.00037375002,0.000047028436,0.0078109624,0.000046817953,0.00003049329,0.00001269513,0.0000062256204,0.000110681474,0.000012899835,0.97698736,0.014089629,0.00047144806],"about_ca_topic_score_codex":0.0004639999,"about_ca_topic_score_gemma":0.00090596767,"teacher_disagreement_score":0.97001016,"about_ca_system_score_codex":0.000073295494,"about_ca_system_score_gemma":0.00003384611,"threshold_uncertainty_score":0.99985236},"labels":[],"label_agreement":null},{"id":"W2510857969","doi":"10.1177/0019793916668875","title":"Gender Sorting and the Glass Ceiling in High-Tech Firms","year":2016,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Glass ceiling; Ceiling (cloud); Promotion (chess); Outreach; Business; Demographic economics; Economics; Engineering; Political science; Economic growth","score_opus":0.06087377889516063,"score_gpt":0.25383606131647446,"score_spread":0.19296228242131383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510857969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85823715,0.10552285,0.00037201017,0.028478306,0.00039945357,0.0008654431,0.00020415841,0.000029567525,0.005891042],"genre_scores_gemma":[0.95891845,0.03976039,0.00008339271,0.00040693546,0.00011812593,0.000038397622,0.000005191722,0.000009910953,0.0006592003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987481,0.00008537837,0.0007230666,0.00024952446,0.000032009397,0.00016190342],"domain_scores_gemma":[0.99907935,0.00036845385,0.00028724576,0.00019416878,0.000026862266,0.000043919565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021509333,0.000106062726,0.00038689515,0.00006416446,0.000114747694,0.000043080992,0.000087377615,0.00011455027,0.00024049629],"category_scores_gemma":[0.0011089396,0.00006327062,0.000045526376,0.00033922575,0.00009161795,0.0001542086,0.000059862905,0.00019400833,0.000031823616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000116096535,0.000011351195,0.12553115,0.00005498681,0.000018512026,8.9752496e-7,0.00004555244,0.000001749011,8.570139e-7,0.8582428,0.00010662934,0.015973918],"study_design_scores_gemma":[0.0074143033,0.000032837157,0.10563641,0.002009494,0.00006534137,0.000007636978,0.00003809649,0.000511117,0.000002718283,0.7317952,0.15194336,0.00054350536],"about_ca_topic_score_codex":0.0002839661,"about_ca_topic_score_gemma":0.00005044066,"teacher_disagreement_score":0.15183672,"about_ca_system_score_codex":0.000038318274,"about_ca_system_score_gemma":0.000023908651,"threshold_uncertainty_score":0.26332656},"labels":[],"label_agreement":null},{"id":"W2511425805","doi":"10.1016/j.econlet.2016.08.039","title":"Rotation group bias in measures of multiple job holding","year":2016,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rotation (mathematics); Quarter (Canadian coin); Rotation group SO; Current Population Survey; Job rotation; Sample (material); Group (periodic table); Mathematics; Demographic economics; Demography; Psychology; Economics; Geography; Job satisfaction; Job performance; Social psychology; Physics; Population","score_opus":0.06641649898179394,"score_gpt":0.2195070284667763,"score_spread":0.15309052948498236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511425805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898061,0.00008969533,0.005798957,0.0023512207,0.00039731755,0.00014854633,0.0001686828,0.000016524375,0.0012229242],"genre_scores_gemma":[0.998299,0.00021308844,0.0007809303,0.00054834265,0.000068727495,0.000017929804,0.0000072614325,0.000024704526,0.00003999216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851054,0.000030410558,0.00082959817,0.0003561801,0.000019776255,0.00025348464],"domain_scores_gemma":[0.9989614,0.00022584142,0.00044379343,0.00030605882,0.000014297956,0.000048593538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012176523,0.00013631122,0.00036839166,0.0002878068,0.000029664028,0.000032713084,0.00021035191,0.00007249003,0.00006352191],"category_scores_gemma":[0.0002696349,0.00013552107,0.00010902847,0.000116077594,0.000057406323,0.00032976453,0.000046560006,0.000072859955,0.000057513596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029430572,0.00003257763,0.84679735,0.000014473959,0.00002733304,0.0000014740356,0.00014661903,0.00031324913,0.0025204686,0.14707424,0.000053887532,0.002988923],"study_design_scores_gemma":[0.0028732803,0.000047099664,0.9096831,0.000068393616,0.000004812306,0.0000017330725,0.000049026086,0.003935225,0.0008917146,0.075681105,0.0061524385,0.00061208726],"about_ca_topic_score_codex":0.00054178725,"about_ca_topic_score_gemma":0.0005309939,"teacher_disagreement_score":0.07139313,"about_ca_system_score_codex":0.00022311823,"about_ca_system_score_gemma":0.000009054939,"threshold_uncertainty_score":0.5526389},"labels":[],"label_agreement":null},{"id":"W2514416184","doi":"10.1108/ijchm-12-2014-0617","title":"Competitiveness and workforce performance: Asia<i>vis-à-vis</i>the “West”","year":2016,"lang":"en","type":"article","venue":"International Journal of Contemporary Hospitality Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Workforce; Emerging markets; Context (archaeology); Outsourcing; Business; China; Structural equation modeling; BRIC; Marketing; Economics; Economic growth; Geography; Finance","score_opus":0.023125411137527155,"score_gpt":0.23973252348557544,"score_spread":0.2166071123480483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514416184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152993,0.0014876205,0.009553168,0.013036953,0.0017908618,0.00021813015,0.00010875582,0.0000143960015,0.058490828],"genre_scores_gemma":[0.9964695,0.0014611138,0.00017046815,0.00050790916,0.00022434536,0.0000075192806,0.0000045682705,0.00001398702,0.0011405622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99843323,0.000049156763,0.00094321975,0.00021865031,0.00019496666,0.00016075013],"domain_scores_gemma":[0.9985187,0.0001085366,0.000851724,0.00023228725,0.00021082936,0.00007791688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018033214,0.00015231149,0.000300528,0.00016579518,0.0000708385,0.00013486539,0.00064058334,0.000043867116,0.00012486562],"category_scores_gemma":[0.00006304534,0.00010296888,0.00013596287,0.000099273486,0.00013543085,0.0006398153,0.00020877222,0.000118648626,0.000024343895],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013444766,0.00010919032,0.35573858,0.000026581849,0.00038147942,0.000056258956,0.00010775157,0.000007876345,0.0000040979585,0.62129784,0.00026151817,0.021874378],"study_design_scores_gemma":[0.002042289,0.00018029298,0.7805592,0.0002898229,0.000014798729,0.000026832928,0.0002885509,0.00015121285,0.000031594507,0.054317776,0.16180903,0.0002886014],"about_ca_topic_score_codex":0.000026124215,"about_ca_topic_score_gemma":0.0000021235528,"teacher_disagreement_score":0.56698006,"about_ca_system_score_codex":0.00013180908,"about_ca_system_score_gemma":0.000023114431,"threshold_uncertainty_score":0.4198949},"labels":[],"label_agreement":null},{"id":"W2515598425","doi":"","title":"Long-term unemployment in Japan in the global financial crisis and recession","year":2015,"lang":"en","type":"article","venue":"Japan labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Recession; Financial crisis; Metropolitan area; Economics; Term (time); Demographic economics; Quarter (Canadian coin); Christian ministry; Unemployment rate; Labour economics; Economic growth; Geography; Political science; Macroeconomics","score_opus":0.04494502456762669,"score_gpt":0.2961541528224186,"score_spread":0.2512091282547919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515598425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8830668,0.10643939,0.000014024261,0.008216223,0.00022622682,0.00048442848,0.00015646407,0.000011401177,0.0013850447],"genre_scores_gemma":[0.93559647,0.058827184,0.00007984411,0.005285229,0.00006665169,0.00007286856,0.00002559512,0.000011619218,0.000034561126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982965,0.00013565877,0.00081479637,0.000394139,0.00007655838,0.00028235491],"domain_scores_gemma":[0.9991529,0.000042550524,0.0002593531,0.00041466363,0.000038145095,0.0000923709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028806727,0.00017527553,0.0005644346,0.00006867317,0.000034023426,0.0000652766,0.00030702323,0.00008831751,0.000049717022],"category_scores_gemma":[0.00046173163,0.0001385816,0.000062356594,0.0008262397,0.000033405922,0.00016220882,0.00009645379,0.00018183388,0.00004381125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012326891,0.00010578405,0.89984477,0.00043974147,0.0000041851663,0.000008087459,0.00022674295,0.0000010674804,6.972534e-8,0.09120233,0.00082397385,0.0073309112],"study_design_scores_gemma":[0.00067352323,0.00006368075,0.92762506,0.0008422007,0.000009338445,0.0000060220927,0.000052557534,0.00003944644,2.6147936e-7,0.04059027,0.02984522,0.0002524388],"about_ca_topic_score_codex":0.0006448843,"about_ca_topic_score_gemma":0.001308977,"teacher_disagreement_score":0.052529648,"about_ca_system_score_codex":0.00020882473,"about_ca_system_score_gemma":0.000049315164,"threshold_uncertainty_score":0.5651194},"labels":[],"label_agreement":null},{"id":"W2515636638","doi":"10.1111/ecin.12384","title":"A THEORY OF TURNOVER AND WAGE DYNAMICS","year":2016,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Boom; Economics; Wage; Labour economics; Productivity; Turnover; Efficiency wage; Business cycle; Macroeconomics","score_opus":0.02937610406995821,"score_gpt":0.2295301978326333,"score_spread":0.20015409376267507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515636638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758202,0.00039830213,0.0062842,0.0004854676,0.0012573842,0.00010055177,0.00059811963,0.000021815007,0.015033975],"genre_scores_gemma":[0.997795,0.00020982813,0.00016921051,0.00012284948,0.00021778344,0.000007255021,0.000006833813,0.000023711807,0.0014475252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876237,0.000025688249,0.00061391573,0.00036223055,0.000014099085,0.000221716],"domain_scores_gemma":[0.9989833,0.00019141816,0.00035053302,0.00039494527,0.000013295342,0.000066471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011331332,0.00013733479,0.00037664486,0.00012400394,0.000036922807,0.000023234463,0.00017745192,0.00010433478,0.0006356214],"category_scores_gemma":[0.00009511522,0.00011894806,0.000086220934,0.00004047081,0.00023361728,0.00023525632,0.00011367546,0.000061186634,0.00019251229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031202424,0.000020368067,0.0669983,0.000014287007,0.000045194392,0.0000011715266,0.00021180631,0.0000024804344,0.000024004892,0.92720395,0.00016309424,0.005284129],"study_design_scores_gemma":[0.0010129312,0.000058388847,0.09606771,0.000027074,0.0000068538034,0.0000054389884,0.000106517226,0.0009448699,0.00007931886,0.89429677,0.007049818,0.000344309],"about_ca_topic_score_codex":0.00006399368,"about_ca_topic_score_gemma":0.00005149581,"teacher_disagreement_score":0.032907188,"about_ca_system_score_codex":0.00018193609,"about_ca_system_score_gemma":0.000020564687,"threshold_uncertainty_score":0.69596094},"labels":[],"label_agreement":null},{"id":"W2518063379","doi":"","title":"Cumulative Disadvantage and Gender Differences in Early Career Earnings: Evidence from Canada's National Graduates Survey","year":2014,"lang":"en","type":"article","venue":"XVIII ISA World Congress of Sociology (July 13-19, 2014)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disadvantage; Earnings; Demographic economics; National Longitudinal Surveys; Labour economics; Political science; Psychology; Economics; Accounting; Law","score_opus":0.07485268295758286,"score_gpt":0.2780032337280117,"score_spread":0.20315055077042887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518063379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331045,0.002384279,0.00017207878,0.00065552467,0.0005109366,0.00017587128,0.001676335,0.000016282349,0.0010982227],"genre_scores_gemma":[0.9983716,0.00029917524,0.00012388384,0.0004960354,0.0000785871,0.000025688076,0.00013608158,0.000021544829,0.00044741505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974889,0.0004225216,0.0008700286,0.0006716742,0.00014072568,0.0004061151],"domain_scores_gemma":[0.9954725,0.0031676563,0.00072650117,0.00028922394,0.00019140674,0.00015272999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022031472,0.00027519028,0.00082656636,0.0002203548,0.00014494167,0.000045755543,0.0004065532,0.00017564627,0.000112363865],"category_scores_gemma":[0.0023008399,0.00028149772,0.00007258147,0.00017589609,0.00066172366,0.00024676727,0.00017694275,0.00038900605,0.000015614994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045620545,0.00003021139,0.9635636,0.000028386441,0.000097370284,0.0000029341795,0.0011187801,0.00005206246,0.0000062885215,0.033977445,0.0010220081,0.000055291956],"study_design_scores_gemma":[0.00056649174,0.000033474436,0.9143384,0.000032764106,0.000007777342,3.4287288e-7,0.00006853261,0.0012277764,0.0000055876244,0.08280076,0.0006141309,0.00030394905],"about_ca_topic_score_codex":0.55890673,"about_ca_topic_score_gemma":0.47869185,"teacher_disagreement_score":0.08021487,"about_ca_system_score_codex":0.00018587647,"about_ca_system_score_gemma":0.00017015725,"threshold_uncertainty_score":0.9999637},"labels":[],"label_agreement":null},{"id":"W2524032480","doi":"10.48550/arxiv.1609.09067","title":"Using Big Data to Decode Private Sector Wage Growth","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payroll; Workforce; Wage growth; Wage; Labour economics; Economics; Nonfarm payrolls; Business; Quarter (Canadian coin); Management; Economic growth; Agriculture","score_opus":0.29580936308431754,"score_gpt":0.22181477689822146,"score_spread":0.07399458618609608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524032480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72826135,0.00011191359,0.26003435,0.00019167938,0.001549664,0.00032762732,0.0048484555,0.00008234346,0.0045926054],"genre_scores_gemma":[0.9963885,0.00033279293,0.001200012,0.0003202764,0.00040614302,8.5947437e-7,0.00016214185,0.0000663558,0.001122913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967692,0.00008347451,0.0006108351,0.0019300435,0.00002973524,0.0005767377],"domain_scores_gemma":[0.9960392,0.00013980239,0.0006578443,0.002760697,0.000096711294,0.0003057064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011937637,0.00040946223,0.00075952034,0.0004643141,0.00015142465,0.00010430862,0.0022049684,0.0003691608,0.000180546],"category_scores_gemma":[0.00029160263,0.00047544533,0.00019752543,0.00049827644,0.00008057287,0.00030575856,0.0042931265,0.00041397405,0.00032855116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008001576,0.000112303314,0.18676858,0.00014381968,0.0002867465,0.000118006064,0.000068062276,0.003494117,0.000031232306,0.8084697,0.00022382587,0.00020361382],"study_design_scores_gemma":[0.00086574064,0.000036910635,0.023633244,0.00019674847,0.00008539154,0.0000023286798,0.000015659109,0.09572754,0.000024366642,0.8684215,0.009561033,0.0014295651],"about_ca_topic_score_codex":0.0010229169,"about_ca_topic_score_gemma":0.00019608527,"teacher_disagreement_score":0.26812714,"about_ca_system_score_codex":0.0005105787,"about_ca_system_score_gemma":0.000102216494,"threshold_uncertainty_score":0.99976975},"labels":[],"label_agreement":null},{"id":"W2527835469","doi":"10.1111/caje.12347","title":"Downward nominal wage rigidity in Canada: Evidence from micro‐level data","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Wage; Panel data; Economics; Survey data collection; Inflation (cosmology); Rigidity (electromagnetism); Labour economics; Human settlement; Demographic economics; Geography; Econometrics","score_opus":0.3285311951946567,"score_gpt":0.21278457268295586,"score_spread":0.11574662251170081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527835469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98058426,0.0011509398,0.0002375375,0.00210157,0.0032972926,0.00023099742,0.011482286,0.000004139745,0.0009109695],"genre_scores_gemma":[0.99564904,0.0002798814,0.001639699,0.00089116115,0.0011933446,0.000006647293,0.00011612069,0.00006125375,0.00016287461],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955973,0.00008109727,0.0022602126,0.0009289837,0.0000044653116,0.0011279418],"domain_scores_gemma":[0.9947707,0.00031527827,0.001500955,0.0015271561,0.00020729589,0.0016785848],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024447092,0.00041384948,0.0012105106,0.0006943511,0.0001802732,0.0002165596,0.0023997212,0.0002286147,0.0011427299],"category_scores_gemma":[0.0010321678,0.0005477745,0.0001592276,0.0002623531,0.00023999542,0.0012027097,0.00015793016,0.0006034443,0.00008183803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00023958423,0.00003776266,0.78248185,0.00005259732,0.00028997398,0.0006605291,0.0014555971,0.00078348885,0.000031109677,0.20643085,0.003287392,0.0042492407],"study_design_scores_gemma":[0.0022645518,0.00037543778,0.39861202,0.00051754375,0.00006369409,0.00025614683,0.0006306672,0.018231364,0.00015225461,0.49819255,0.078654215,0.0020495562],"about_ca_topic_score_codex":0.9987935,"about_ca_topic_score_gemma":0.9999914,"teacher_disagreement_score":0.38386986,"about_ca_system_score_codex":0.008640876,"about_ca_system_score_gemma":0.009913277,"threshold_uncertainty_score":0.99977034},"labels":[],"label_agreement":null},{"id":"W2529100062","doi":"","title":"Polarization of Job Losses: Canada and the USA, the Role of ICT","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Demise; Phenomenon; Polarization (electrochemistry); Wage; Productivity; Business; Economics; Political science; Labour economics; Economic growth; Law; Physics","score_opus":0.008951555790823452,"score_gpt":0.19291021678248713,"score_spread":0.18395866099166366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529100062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987465,0.007448387,0.0013523981,0.0008182102,0.00011338963,0.00007390124,0.00003210312,0.0000010350135,0.0026955272],"genre_scores_gemma":[0.9980976,0.0014304162,0.000010774389,0.0000678876,0.000049743492,0.0000010985688,0.0000012862823,0.0000065454146,0.00033466227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989881,0.000054518947,0.00040746722,0.00008183352,0.000062597304,0.0004055173],"domain_scores_gemma":[0.9992141,0.00007509866,0.0004389515,0.00015506484,0.00008254381,0.00003422362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034151468,0.00006400218,0.00019702554,0.000034454122,0.00007349395,0.000023690076,0.00021658327,0.000030135856,0.000011057691],"category_scores_gemma":[0.00022249934,0.00004037975,0.00004379436,0.00013490021,0.0000845299,0.000077284894,0.00003257127,0.00037737645,8.631901e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030425852,0.000006998209,0.23064032,0.0000019907181,0.000052181487,9.053633e-8,0.0001165473,0.000030709038,0.000005182073,0.7684529,0.0000059402805,0.00065674743],"study_design_scores_gemma":[0.0007096404,0.00005092289,0.029512199,0.000003686604,0.000010534873,0.00002113129,0.00067279825,0.0012445287,0.000017235987,0.9660334,0.0016611831,0.000062719766],"about_ca_topic_score_codex":0.45121443,"about_ca_topic_score_gemma":0.6721425,"teacher_disagreement_score":0.22092809,"about_ca_system_score_codex":0.0002470948,"about_ca_system_score_gemma":0.0011345051,"threshold_uncertainty_score":0.55244},"labels":[],"label_agreement":null},{"id":"W2531715291","doi":"10.1002/pop4.145","title":"Does South African Affirmative Action Policy Reduce Poverty? A CGE Analysis","year":2016,"lang":"en","type":"article","venue":"Poverty & Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computable general equilibrium; Affirmative action; Disadvantaged; Poverty; Unemployment; Economics; Inequality; Development economics; Population; Order (exchange); Government (linguistics); Labour economics; Demographic economics; Public economics; Political science; Economic growth; Macroeconomics; Sociology; Demography; Law; Mathematics","score_opus":0.03774032829961538,"score_gpt":0.27062177896522427,"score_spread":0.2328814506656089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531715291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.501859,0.00023373403,0.025138833,0.27975172,0.0011589741,0.00077520125,0.011242461,0.0005601706,0.1792799],"genre_scores_gemma":[0.98586786,0.0003016398,0.00015726913,0.004800357,0.0009895505,0.00005465353,0.000059279588,0.000051152154,0.007718216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996854,0.00012077386,0.0009909755,0.00087259465,0.00015974503,0.0010019281],"domain_scores_gemma":[0.9972867,0.00017697159,0.00087582064,0.0010727823,0.00015217041,0.0004355918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001040091,0.00039548424,0.0008398462,0.0021570544,0.00024335503,0.00033013948,0.0006423521,0.00022515623,0.0008878954],"category_scores_gemma":[0.0020881523,0.00025128978,0.0005536387,0.0038560757,0.00013378893,0.0011333883,0.0002492703,0.00020431804,0.00041166364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000568815,0.00021558639,0.05666279,0.000024334819,0.0010475054,0.000002634943,0.0011619964,0.000005899615,0.0001083429,0.9235537,0.0017230347,0.015437289],"study_design_scores_gemma":[0.0019958061,0.000116325165,0.27732903,0.000024817462,0.00013832122,0.000004796064,0.0003498707,0.0019556421,0.00016640301,0.38329816,0.3331911,0.0014297314],"about_ca_topic_score_codex":0.011432579,"about_ca_topic_score_gemma":0.0006628424,"teacher_disagreement_score":0.54025555,"about_ca_system_score_codex":0.001199832,"about_ca_system_score_gemma":0.00035111685,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W2532285849","doi":"","title":"Impact of trade liberalization on bargaining power of labor","year":2015,"lang":"en","type":"article","venue":"International journal of marketing and technology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Economics; Wage share; Wage; Bargaining power; Labour economics; Liberalization; Efficiency wage; Capital (architecture); Wage bargaining; China; Market economy; Political science","score_opus":0.020051124749334542,"score_gpt":0.26891047223293646,"score_spread":0.24885934748360192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532285849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946154,0.0004697281,0.00045458053,0.0010730454,0.00025742932,0.000023787601,0.00006724496,0.000006321386,0.0030325162],"genre_scores_gemma":[0.9990572,0.00016025387,0.0006886444,0.00003012663,0.000035193527,3.8889107e-7,0.000002167067,0.0000075018083,0.000018572831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990739,0.000040153456,0.00064438814,0.00008938948,0.00007271,0.0000794403],"domain_scores_gemma":[0.9984922,0.00015369018,0.00096271053,0.00008411115,0.0002716722,0.0000356543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002034356,0.00006751588,0.00026047867,0.00053598837,0.0000096217755,0.000012220695,0.00020401191,0.00009041903,0.000032312008],"category_scores_gemma":[0.0020695196,0.000062112245,0.00007020171,0.00018258448,0.00005842094,0.00008176994,0.000040591156,0.00013009127,6.0434877e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048845424,0.00014888357,0.834855,0.000008062085,0.00026135112,0.000012096359,0.00024030435,0.00016126985,0.00017579163,0.15885262,0.00014847156,0.0046476414],"study_design_scores_gemma":[0.0024291964,0.0010981493,0.78327197,0.00022713919,0.000012269492,0.000102965605,0.00026630732,0.0018266839,0.0003312512,0.20902283,0.0012137457,0.00019747851],"about_ca_topic_score_codex":0.00002093141,"about_ca_topic_score_gemma":9.606531e-7,"teacher_disagreement_score":0.051583067,"about_ca_system_score_codex":0.00006187518,"about_ca_system_score_gemma":0.000040375868,"threshold_uncertainty_score":0.2532864},"labels":[],"label_agreement":null},{"id":"W2532697243","doi":"10.1111/sjoe.12367","title":"Understanding the Determination of Severance Pay: Mandates, Bargaining, and Unions*","year":2019,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Severance; Payment; Economics; Unemployment; Labour economics; Wage; Collective bargaining; Wage bargaining; Matching (statistics); Bargaining power; Job creation; Microeconomics; Finance; Macroeconomics","score_opus":0.049352205962867685,"score_gpt":0.2252279327553476,"score_spread":0.17587572679247993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532697243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817852,0.00054692314,0.01027317,0.0005287297,0.0006063461,0.00011908881,0.000098418146,0.0000029335717,0.0060391924],"genre_scores_gemma":[0.99797475,0.0009952466,0.00063948485,0.0001063887,0.00006539306,7.399238e-7,0.0000031177722,0.00001495628,0.00019990231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882376,0.000030291343,0.0008082879,0.00015442961,0.000022594553,0.0001606419],"domain_scores_gemma":[0.998339,0.00013936019,0.001198649,0.00020980694,0.000048449067,0.00006474204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015123226,0.000111322996,0.00039233055,0.00016264578,0.00007345155,0.00007159832,0.00022551257,0.000064850494,0.000101576574],"category_scores_gemma":[0.00006337159,0.00008774998,0.00010134398,0.00010433828,0.000083152634,0.00034187883,0.000046209767,0.00018511277,0.000007037508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048105023,0.000019252024,0.31289405,0.00002354695,0.00004696644,0.0000018301074,0.00039412564,0.00019686251,0.0000070007513,0.6852376,0.000016287451,0.0011143556],"study_design_scores_gemma":[0.0012695781,0.00021736701,0.054192048,0.00009575722,0.000016452237,0.00006199494,0.00050883874,0.009629839,0.000032924967,0.9320739,0.0016802988,0.00022103213],"about_ca_topic_score_codex":0.000023120623,"about_ca_topic_score_gemma":0.000015103988,"teacher_disagreement_score":0.258702,"about_ca_system_score_codex":0.00018065402,"about_ca_system_score_gemma":0.00003374902,"threshold_uncertainty_score":0.35783404},"labels":[],"label_agreement":null},{"id":"W2540836143","doi":"","title":"Public-private wage differential in a post-transition economy: A copula approach to the switching regression model","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Wage; Public sector; Economics; Earnings; Private sector; Copula (linguistics); Quantile regression; Regression analysis; Differential (mechanical device); Econometrics; Quarter (Canadian coin); Labour economics; Economy; Accounting","score_opus":0.0623504158387039,"score_gpt":0.28565292229204664,"score_spread":0.22330250645334274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540836143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88241756,0.00016333976,0.0054336954,0.007906585,0.00055763323,0.0019033514,0.0010823484,0.0000524704,0.10048299],"genre_scores_gemma":[0.9950234,0.0018914641,0.00078449503,0.00043080514,0.00035936007,0.0006917196,0.00023921952,0.00012340343,0.00045610574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942802,0.00035811737,0.0018936517,0.0019577227,0.00012997567,0.0013803387],"domain_scores_gemma":[0.99662745,0.0003189111,0.00059635617,0.002000824,0.00013115913,0.00032530303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058202446,0.00058781676,0.0012052292,0.0013951611,0.00029119328,0.00065428583,0.0017306979,0.0007358673,0.00007290962],"category_scores_gemma":[0.0006334497,0.0005003877,0.0003662807,0.00030185393,0.00014346922,0.0003837133,0.0018716556,0.0022461107,0.000039220562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008129823,0.0011912076,0.016004998,0.00064566557,0.00036516096,0.000037256163,0.0056829443,0.06123032,0.00019833274,0.7974872,0.00006450944,0.11627943],"study_design_scores_gemma":[0.0015460772,0.00007046482,0.008446276,0.0003592199,0.000006690924,0.000005071043,0.00027572043,0.6043426,0.00001321755,0.37900725,0.0047834776,0.0011439244],"about_ca_topic_score_codex":0.0004108613,"about_ca_topic_score_gemma":0.0008315164,"teacher_disagreement_score":0.5431123,"about_ca_system_score_codex":0.002105261,"about_ca_system_score_gemma":0.0003706633,"threshold_uncertainty_score":0.9997448},"labels":[],"label_agreement":null},{"id":"W2552817686","doi":"","title":"The Recent Evolution of the U.S. Beveridge Curve: Evidence from the ARDL Approach","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Beveridge curve; Economics; Unemployment; Great recession; Keynesian economics; Distributed lag; Recession; Econometrics; Autoregressive model; Empirical evidence; Macroeconomics; Unemployment rate","score_opus":0.03616453088886094,"score_gpt":0.22627808361611512,"score_spread":0.19011355272725416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552817686","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39516193,0.58391386,0.0012323946,0.015689004,0.0005901207,0.0006698169,0.00095252594,0.000004737144,0.0017856127],"genre_scores_gemma":[0.4120052,0.5875064,0.00012231694,0.00020317637,0.000040549647,0.000020990767,0.0000016382891,0.0000073583224,0.00009241063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984075,0.00007591991,0.0009674483,0.00033248527,0.000029361909,0.00018729895],"domain_scores_gemma":[0.99729437,0.0005299935,0.0011670528,0.0009130882,0.0000745294,0.00002095574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023277916,0.00014325624,0.0004737768,0.000013713416,0.00016232829,0.000025209101,0.0006490845,0.00005791545,0.000016402457],"category_scores_gemma":[0.00069275487,0.0000691776,0.0001772555,0.00016196638,0.00028281903,0.00015917796,0.00019885173,0.00009780327,0.000007941126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016959211,0.000031254927,0.029731404,0.0002679814,0.000043083142,4.6927486e-8,0.000040475836,0.000012610457,0.000005305995,0.9290003,0.0006778468,0.04017269],"study_design_scores_gemma":[0.0003365964,0.000036979978,0.24163322,0.0027588215,0.000028123732,0.000001921336,0.000015048015,0.0015626394,0.000035041925,0.17326182,0.5800617,0.00026813513],"about_ca_topic_score_codex":0.00031422524,"about_ca_topic_score_gemma":0.00006415633,"teacher_disagreement_score":0.7557385,"about_ca_system_score_codex":0.000104274586,"about_ca_system_score_gemma":0.000064389424,"threshold_uncertainty_score":0.28209808},"labels":[],"label_agreement":null},{"id":"W2557700081","doi":"","title":"Unemployment, Vacancies, and Social Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Unemployment; Matching (statistics); Beveridge curve; Productivity; Volatility (finance); Returns to scale; Econometrics; Social network (sociolinguistics); Externality; Labour economics; Microeconomics; Production (economics); Mathematics; Macroeconomics; Computer science; Unemployment rate; Statistics","score_opus":0.021337405370250095,"score_gpt":0.21095193142755522,"score_spread":0.18961452605730514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557700081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7192908,0.00046965794,0.0954861,0.002981372,0.0005371079,0.00013405924,0.00005965739,0.000095818286,0.18094543],"genre_scores_gemma":[0.9964286,0.000060710947,0.00030208967,0.0012543197,0.0001709166,0.0000053398203,0.000010303714,0.000011641285,0.0017560855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99929076,0.000013244499,0.00026574373,0.00022224236,0.000015268799,0.00019274223],"domain_scores_gemma":[0.9996843,0.000037652993,0.0001013915,0.00012316625,0.000012696306,0.000040810683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006101941,0.0000829352,0.00019914763,0.000039352162,0.00010449835,0.00006611758,0.00008362081,0.00006843173,0.00021963762],"category_scores_gemma":[0.000026723392,0.0000875777,0.00003729543,0.00008075587,0.00003682098,0.00007163057,0.00005802315,0.00007440998,0.000031384225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029047026,0.000012634714,0.06902306,0.0000056960057,0.0000101879195,1.6275115e-7,0.000038891918,0.000013025751,5.6815924e-7,0.92817503,0.00059176964,0.0021260881],"study_design_scores_gemma":[0.00066838646,0.00004766699,0.13216765,0.0000025927989,0.000004335245,0.0000011552398,0.000023453542,0.0811039,0.0000020606192,0.4392078,0.34639886,0.00037215263],"about_ca_topic_score_codex":0.000227797,"about_ca_topic_score_gemma":0.000061341074,"teacher_disagreement_score":0.4889672,"about_ca_system_score_codex":0.00002485565,"about_ca_system_score_gemma":0.000003152029,"threshold_uncertainty_score":0.35713148},"labels":[],"label_agreement":null},{"id":"W2557768994","doi":"10.1002/cjas.1425","title":"Comparing financial and social costs for top‐down versus fixed‐band selection: A practical application with bus drivers","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"","keywords":"Dilemma; Diversity (politics); Context (archaeology); Selection (genetic algorithm); Process (computing); Adverse selection; Cognition; Actuarial science; Business; Computer science; Economics; Psychology; Mathematics; Artificial intelligence; Sociology","score_opus":0.10921684678234433,"score_gpt":0.3119906927041072,"score_spread":0.20277384592176284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557768994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96692556,0.00006415006,0.025741283,0.003939424,0.0002857239,0.000224013,0.0001592889,0.000005138536,0.0026554372],"genre_scores_gemma":[0.99269366,0.000012932709,0.006935982,0.00008254612,0.0001920236,0.000015430513,0.0000033078763,0.0000065279596,0.00005758606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984147,0.00005324815,0.0005160057,0.0004069006,0.000068173606,0.00054095004],"domain_scores_gemma":[0.99820125,0.00028751642,0.0006613972,0.00007374378,0.0002752084,0.0005008555],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002218449,0.00015589423,0.0002970912,0.00028545526,0.0013161256,0.00034011347,0.00027774653,0.00009282683,0.000027816655],"category_scores_gemma":[0.0008330681,0.0001316006,0.00006199033,0.00058149843,0.0022365989,0.00090936496,0.0000073514593,0.000121573285,0.0000013106736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025129764,0.000030372063,0.18875156,0.000037872403,0.000024818415,0.0000337489,0.002404489,0.000034767047,0.00015689293,0.8064276,0.00009677214,0.0017498317],"study_design_scores_gemma":[0.009369401,0.035618205,0.52190995,0.0006445965,0.0002048611,0.002965491,0.013189901,0.014568445,0.0019536447,0.36699435,0.029802218,0.0027789478],"about_ca_topic_score_codex":0.003270108,"about_ca_topic_score_gemma":0.41731554,"teacher_disagreement_score":0.43943322,"about_ca_system_score_codex":0.00090754504,"about_ca_system_score_gemma":0.003224572,"threshold_uncertainty_score":0.999984},"labels":[],"label_agreement":null},{"id":"W2563695611","doi":"10.34989/san-2016-3","title":"Canadian Labour Market Dispersion: Mind the (Shrinking) Gap","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Resizing; Economics; Recession; Dispersion (optics); Financial crisis; Monetary economics; Witness; Labour economics; International economics; Macroeconomics; European union; Political science","score_opus":0.02814895346416977,"score_gpt":0.23988637268696034,"score_spread":0.21173741922279057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563695611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9043172,0.000972774,0.0014977469,0.01944828,0.00046861373,0.00011846684,0.0011049479,0.000015515223,0.07205648],"genre_scores_gemma":[0.9925269,0.0001159665,0.0004565732,0.0007627786,0.00016172993,0.0000025148565,0.000025330544,0.000019085412,0.005929115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854803,0.0000490496,0.0004348986,0.00042680532,0.00006897483,0.000472221],"domain_scores_gemma":[0.99872464,0.0002786085,0.000097209326,0.0005332191,0.000091240865,0.00027507904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007292817,0.00015794224,0.0003165214,0.00009775979,0.00022302342,0.00019483392,0.00027923967,0.000114726216,0.008010057],"category_scores_gemma":[0.0008432541,0.00013566551,0.00017216892,0.0005041944,0.0000925812,0.000091732196,0.000097861164,0.0002234529,0.00022216771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094224115,0.00007525686,0.09343165,0.000016337639,0.000093707684,0.000096559044,0.00010081689,0.000042670483,0.00000313568,0.90439475,0.0007140271,0.0010216727],"study_design_scores_gemma":[0.00061651046,0.000073477,0.07738391,0.000031269625,0.000056408004,0.000028482842,0.00042938627,0.09894618,0.000037300317,0.36098132,0.46056888,0.0008468817],"about_ca_topic_score_codex":0.036080148,"about_ca_topic_score_gemma":0.061895415,"teacher_disagreement_score":0.54341346,"about_ca_system_score_codex":0.00021821611,"about_ca_system_score_gemma":0.00018461567,"threshold_uncertainty_score":0.99289674},"labels":[],"label_agreement":null},{"id":"W2563802612","doi":"10.5465/ambpp.2015.12172abstract","title":"Industry and Firm-level Determinants of Employment Relations in China: A Two-level Analysis","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multilevel model; Context (archaeology); Human resource management; Business; Human capital; China; Variance (accounting); Industrial organization; Demographic economics; Labour economics; Economics; Management; Economic growth; Accounting; Political science","score_opus":0.08784873847654301,"score_gpt":0.2944351316769041,"score_spread":0.2065863932003611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563802612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894563,0.0002263977,0.00025852,0.0007333814,0.000027590111,0.00024085201,0.00012243103,0.000010577772,0.0089239385],"genre_scores_gemma":[0.99613523,0.0001337765,0.0023000403,0.00009535284,0.000013969194,0.00002430334,0.000003958522,0.000012440524,0.0012809262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983943,0.000006679572,0.00091916684,0.00036475735,0.000096970834,0.00021814395],"domain_scores_gemma":[0.999147,0.000019533722,0.000626403,0.000088085086,0.00003295662,0.000086000786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015505032,0.00014365498,0.00050737057,0.00072599197,0.000029768016,0.000023753739,0.000244901,0.00023563337,0.000028748309],"category_scores_gemma":[0.000093145914,0.00016192721,0.000075493735,0.0010515488,0.00006582439,0.00032795907,0.00023547758,0.00032850864,0.0000040943587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001781487,0.00008238354,0.8435893,0.00007991374,0.00017595265,7.1915804e-7,0.00041092566,0.00007655554,0.0000021132987,0.15422164,0.00010615794,0.0012364934],"study_design_scores_gemma":[0.00087025674,0.00003113861,0.9305692,0.0000414889,0.000086081556,4.783659e-7,0.00020546852,0.004651029,0.000029775301,0.06278409,0.00056424795,0.00016675836],"about_ca_topic_score_codex":0.0003744049,"about_ca_topic_score_gemma":0.000024969362,"teacher_disagreement_score":0.09143755,"about_ca_system_score_codex":0.00007865407,"about_ca_system_score_gemma":0.0000066388857,"threshold_uncertainty_score":0.66032004},"labels":[],"label_agreement":null},{"id":"W2564297589","doi":"","title":"Evidence from the New Hires Survey: Education and Opportunity in Wyoming's Labor Market","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Business; Government (linguistics); Survey data collection; Private sector; Sample (material); Job satisfaction; Labour economics; Economics; Management; Economic growth","score_opus":0.13119166454189882,"score_gpt":0.2834757863373149,"score_spread":0.1522841217954161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564297589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775574,0.004818135,0.00035004786,0.0064891176,0.00045003655,0.00014734386,0.00023576389,0.00001493042,0.009937212],"genre_scores_gemma":[0.992469,0.0010033237,0.0005992145,0.0013070183,0.0001071296,0.0000081004,0.000030693496,0.000010118271,0.004465401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899006,0.00012450165,0.00040033515,0.00029218735,0.00003810274,0.00015478597],"domain_scores_gemma":[0.998615,0.00061315333,0.00016620824,0.00035961266,0.000058597816,0.00018738175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003388788,0.000103979786,0.00021400687,0.000057524092,0.00003791857,0.00012885817,0.00022433713,0.00006656978,0.00048058148],"category_scores_gemma":[0.0034368231,0.000086794564,0.00002165747,0.00024354334,0.0000360491,0.00030583644,0.00010082305,0.00011833422,0.000023850802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003115814,0.000044272027,0.949503,0.00000322527,0.000007543024,5.990405e-7,0.00036927604,0.0000013799122,6.646158e-7,0.024183573,0.020346085,0.005509229],"study_design_scores_gemma":[0.00018889586,0.000012387283,0.8679513,0.000022050413,0.00000163984,3.9466397e-7,0.00015305114,0.0010834358,0.0000015560569,0.120287366,0.010178071,0.00011987486],"about_ca_topic_score_codex":0.09868905,"about_ca_topic_score_gemma":0.019382875,"teacher_disagreement_score":0.09610379,"about_ca_system_score_codex":0.00008619556,"about_ca_system_score_gemma":0.00030928783,"threshold_uncertainty_score":0.99851084},"labels":[],"label_agreement":null},{"id":"W2564940210","doi":"10.82308/19010","title":"Delays, de-standardization, and the transition to adulthood","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Demographic economics; Economics; Humanities; Labour economics; Art","score_opus":0.012355695175653948,"score_gpt":0.20213277896306464,"score_spread":0.1897770837874107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564940210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757576,0.00022967038,0.0022993162,0.0023428914,0.00028936515,0.00045092913,0.0038457988,0.00008761997,0.014696798],"genre_scores_gemma":[0.99620384,0.0004476885,0.0010087533,0.0019136154,0.000037639475,0.0000619033,0.000011816531,0.00004537327,0.000269366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981233,0.00015934324,0.00066411996,0.00054802553,0.00009170196,0.00041353208],"domain_scores_gemma":[0.99872315,0.00024559072,0.00021781799,0.0004580719,0.00013469275,0.00022065564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028493444,0.00022428557,0.0003897556,0.00014232879,0.00055352366,0.00008499754,0.00027606904,0.00015304318,0.00017831133],"category_scores_gemma":[0.0009879336,0.00016522498,0.00012872786,0.00034762025,0.00009826688,0.0004546098,0.00009350041,0.00018947422,0.00013659253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016688353,0.000035082245,0.0005446809,0.00001716614,0.00004746938,0.0000038941716,0.00002628868,0.000033167256,0.00040418823,0.9706022,0.0000044993944,0.028114436],"study_design_scores_gemma":[0.0032571764,0.00008623504,0.0046963687,0.00006420445,0.000023761757,0.000016891501,0.000043777192,0.00029823728,0.0009263579,0.91010207,0.08000115,0.00048377764],"about_ca_topic_score_codex":0.00017201349,"about_ca_topic_score_gemma":0.00013361231,"teacher_disagreement_score":0.07999665,"about_ca_system_score_codex":0.00032669902,"about_ca_system_score_gemma":0.000012181887,"threshold_uncertainty_score":0.6737679},"labels":[],"label_agreement":null},{"id":"W2565784871","doi":"","title":"Unemployment spell and vertical skills mismatches: The case of Macedonia’s youth","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Macedonian; Workfare; Unemployment; Youth unemployment; Seekers; Spell; Demographic economics; Economics; Work (physics); Labour economics; Educational attainment; Population; Current Population Survey; Political science; Economic growth; Sociology; Demography; Engineering","score_opus":0.04047831017139445,"score_gpt":0.2936184818826831,"score_spread":0.2531401717112886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565784871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94461465,0.00055399473,0.000027679844,0.0012095621,0.00041760047,0.0006952496,0.0012339004,0.000014422139,0.05123296],"genre_scores_gemma":[0.9894945,0.00887243,0.00012985113,0.00008875754,0.00014232709,0.000036287212,0.000023807863,0.000063409185,0.0011486467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99647856,0.00020567329,0.0014428813,0.0010517992,0.00007413607,0.0007469713],"domain_scores_gemma":[0.997032,0.0008621247,0.00036666382,0.0014438577,0.00008580225,0.00020955964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045364206,0.00035027493,0.0009139163,0.00036475118,0.00009904208,0.0001520391,0.0006680201,0.00045273802,0.00013199165],"category_scores_gemma":[0.0006025631,0.00029165274,0.00022303635,0.00012156989,0.00062470994,0.000081143015,0.0014502901,0.001044827,0.000028533314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042355235,0.001540373,0.23809093,0.0015125254,0.0010981949,0.0009500573,0.009470272,0.0016814988,0.000054651082,0.6665513,0.000103255414,0.07852338],"study_design_scores_gemma":[0.0038358062,0.00036309622,0.01821525,0.00085122004,0.000059217284,0.0002023001,0.004143865,0.02190222,0.00030833768,0.93521816,0.012755406,0.002145143],"about_ca_topic_score_codex":0.0008424373,"about_ca_topic_score_gemma":0.00054149196,"teacher_disagreement_score":0.26866683,"about_ca_system_score_codex":0.0005873737,"about_ca_system_score_gemma":0.00017826195,"threshold_uncertainty_score":0.99995357},"labels":[],"label_agreement":null},{"id":"W2565994659","doi":"","title":"Education, earnings, and the","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Instrumental variable; Demographic economics; Cohort; Economics; Demography; Political science; Business; Econometrics; Sociology; Finance; Statistics","score_opus":0.006711212812652126,"score_gpt":0.2024902318953114,"score_spread":0.19577901908265927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565994659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92624927,0.013201983,0.020443333,0.025984481,0.00051170384,0.0001219588,0.000011132563,0.000016528598,0.013459619],"genre_scores_gemma":[0.97869426,0.013131855,0.000032169843,0.00028710059,0.00019719689,0.0000051977668,4.614521e-7,0.000010151989,0.007641627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882936,0.000038241797,0.00028964737,0.00013738002,0.000025697185,0.0006796496],"domain_scores_gemma":[0.9994576,0.00008372943,0.00024000733,0.00014037603,0.000037198235,0.000041085324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035683552,0.000071612805,0.00015108589,0.000056131223,0.00016494516,0.000060402665,0.00016459572,0.000034908644,0.00006770482],"category_scores_gemma":[0.00028019957,0.000040298786,0.00005709416,0.000079013924,0.00008783145,0.00013605018,0.000028469301,0.00039022535,0.00005428537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021312215,0.000012890895,0.03334523,0.0000010107203,0.00003533848,8.336113e-8,0.000056726596,1.5525397e-7,0.0000023888056,0.9489328,0.000048826274,0.017543202],"study_design_scores_gemma":[0.0007986626,0.000024849649,0.01039212,0.0000059093754,0.0000035099306,0.00005610636,0.00011678313,0.000016649194,8.3828087e-7,0.96160007,0.026907135,0.0000773784],"about_ca_topic_score_codex":0.00011767032,"about_ca_topic_score_gemma":0.000108163076,"teacher_disagreement_score":0.05244498,"about_ca_system_score_codex":0.0002418206,"about_ca_system_score_gemma":0.00038271662,"threshold_uncertainty_score":0.16953567},"labels":[],"label_agreement":null},{"id":"W2567163104","doi":"10.4018/978-1-5225-2008-5.ch004","title":"The Labor Market Regulation","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Unemployment; Economics; Labour economics; Productivity; Legislation; Implicit contract theory; Employment protection legislation; Reading (process); Labor relations; Market regulation; Critical reading; Market economy; Macroeconomics; Law; Political science","score_opus":0.007001658730351621,"score_gpt":0.1904769985547521,"score_spread":0.18347533982440048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567163104","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002376919,0.09007289,0.00006828425,0.0009808894,0.0014999008,0.0003778678,0.0008533446,0.0000421638,0.9037277],"genre_scores_gemma":[0.00845232,0.43920878,0.00018040978,0.00036200165,0.00033553972,0.00004938031,0.000025929769,0.00008963922,0.551296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714243,0.00001179266,0.0013827796,0.00088534225,0.00004293926,0.00053473416],"domain_scores_gemma":[0.9973687,0.00024794132,0.0015476146,0.00071420096,0.00007084502,0.00005069116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011028046,0.00051472423,0.00085835916,0.00020966612,0.00040775604,0.00028837437,0.00044686758,0.00038743287,0.00037027246],"category_scores_gemma":[0.00010314195,0.0004686464,0.00015089345,0.000048610214,0.00049708545,0.0024590532,0.00020797882,0.0003358527,0.00010750571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009308834,0.0000067576266,0.003956863,0.00006212542,0.00003308392,0.0000025330344,0.000050322582,0.00001498578,1.3907714e-7,0.9841176,0.00057064876,0.011091839],"study_design_scores_gemma":[0.00020831541,0.000019533267,0.0018816264,0.000077462115,0.0000047152053,0.0000030037152,0.0000062833424,0.00008855625,8.0043304e-7,0.4682296,0.5291273,0.00035279008],"about_ca_topic_score_codex":0.000020518575,"about_ca_topic_score_gemma":0.0008611402,"teacher_disagreement_score":0.52855664,"about_ca_system_score_codex":0.00020984403,"about_ca_system_score_gemma":0.00006026431,"threshold_uncertainty_score":0.99977654},"labels":[],"label_agreement":null},{"id":"W2567257435","doi":"10.2139/ssrn.2865645","title":"The Evolution of Multiple Jobholding in the U.S. Labor Market: The Complete Picture of Gross Worker Flows","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University; Université du Québec à Montréal","funders":"","keywords":"Labour economics; Economics","score_opus":0.01226387383567935,"score_gpt":0.20822190322053633,"score_spread":0.19595802938485699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567257435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789341,0.0077571906,0.007207597,0.0045124204,0.000276835,0.00019655898,0.000110657835,0.000004080833,0.0010005493],"genre_scores_gemma":[0.9955368,0.003902611,0.00002438074,0.0000667694,0.00012450537,0.000008131672,7.944882e-7,0.000013484534,0.00032251352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789757,0.00018726235,0.0007375785,0.00016100287,0.0000996065,0.0009169814],"domain_scores_gemma":[0.99821526,0.00066799315,0.0006321648,0.00038581813,0.000077375626,0.000021399155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008655001,0.00012288807,0.000249429,0.00007863255,0.00025437793,0.000046264555,0.00070804777,0.000069991875,0.000031998537],"category_scores_gemma":[0.00047158485,0.000054926208,0.00015285391,0.0003561172,0.000118648175,0.00012740647,0.000053480828,0.00071213645,0.0000043455047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010505061,0.000041852705,0.16991071,0.0000052709884,0.00008033118,4.6866577e-7,0.00029093353,0.00004369402,0.0001548598,0.8250612,0.000047254893,0.0042583644],"study_design_scores_gemma":[0.000847717,0.00007486967,0.22873168,0.00003599125,0.000008195647,0.000020529094,0.0012800965,0.0017582768,0.0000073736783,0.7614445,0.005676718,0.00011402389],"about_ca_topic_score_codex":0.00032161726,"about_ca_topic_score_gemma":0.0041547734,"teacher_disagreement_score":0.06361667,"about_ca_system_score_codex":0.00057704886,"about_ca_system_score_gemma":0.00022652686,"threshold_uncertainty_score":0.30939183},"labels":[],"label_agreement":null},{"id":"W2571148123","doi":"","title":"Labor Force Experience of Women from \"Generation X.\".","year":2002,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mores; Quarter (Canadian coin); Legislation; Futures contract; Political science; Labour economics; Demographic economics; Economics; Geography; Politics; Law","score_opus":0.04165250290359382,"score_gpt":0.2400630900352418,"score_spread":0.19841058713164797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571148123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76172525,0.23257649,0.00012476763,0.0009711634,0.0002794551,0.0002968038,0.0011393859,0.000043877826,0.002842827],"genre_scores_gemma":[0.9033657,0.092617966,0.0005695129,0.002335087,0.000118580116,0.00014912563,0.000055896835,0.000034919038,0.00075326575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821395,0.0000473087,0.0009512308,0.00040430596,0.00006728293,0.00031591568],"domain_scores_gemma":[0.99863434,0.000047293765,0.0005031622,0.00061225035,0.00008970224,0.00011323785],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006411753,0.00017172123,0.000695942,0.000055765864,0.000046003664,0.000033667147,0.0002924706,0.00007121629,0.0020543805],"category_scores_gemma":[0.00038257206,0.00017588215,0.00010652556,0.0004564799,0.00004357079,0.00023843012,0.000053807926,0.000092940245,0.000119803706],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030878546,0.0008716653,0.121179126,0.0030089116,0.00030390365,0.000026148868,0.010032991,0.000100521414,0.0007587038,0.810788,0.007312184,0.045586977],"study_design_scores_gemma":[0.0010769729,0.00016214649,0.032227576,0.0010324433,0.00003420425,8.1045374e-7,0.00012341798,0.015013475,0.00034932545,0.03594121,0.9129849,0.0010535073],"about_ca_topic_score_codex":0.0004853659,"about_ca_topic_score_gemma":0.00005034492,"teacher_disagreement_score":0.9056727,"about_ca_system_score_codex":0.00015260551,"about_ca_system_score_gemma":0.000008770963,"threshold_uncertainty_score":0.99885786},"labels":[],"label_agreement":null},{"id":"W2572116598","doi":"10.2139/ssrn.2893777","title":"Wealth Accumulation, on the Job Search and Inequality","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inequality; Economics; Labour economics; Mathematics","score_opus":0.06588889737472653,"score_gpt":0.30807953997608667,"score_spread":0.24219064260136014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572116598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777616,0.000719751,0.0028542029,0.012343818,0.00019704907,0.000113525355,0.00002781113,0.000009092173,0.0059731035],"genre_scores_gemma":[0.9948533,0.0036215193,0.00002008005,0.00035053733,0.00022558002,0.0000030361816,0.0000017442843,0.000014814823,0.00090937945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981522,0.00007815155,0.000411714,0.00023216361,0.00007054445,0.0010552496],"domain_scores_gemma":[0.9988778,0.00010890809,0.00035488937,0.0005293935,0.000054475597,0.00007449729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008837286,0.00011614175,0.00021244766,0.00006923585,0.001131874,0.0004033738,0.0004742631,0.00006667162,0.000060439408],"category_scores_gemma":[0.00052155304,0.00008931363,0.000070983006,0.00005352301,0.0000854088,0.00023838766,0.000091067384,0.0012179182,0.000048616563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020079657,0.000017706292,0.17345096,0.0000032412422,0.000038415412,5.675818e-7,0.000073825344,0.000012088521,0.0000014463802,0.82390916,0.0000141577975,0.0024583403],"study_design_scores_gemma":[0.00029522306,0.00007646595,0.2610243,0.0000056655254,0.0000023008265,0.000011678083,0.000096844546,0.0010809584,0.0000017880096,0.7363721,0.000933773,0.00009891029],"about_ca_topic_score_codex":0.0009176998,"about_ca_topic_score_gemma":0.0010711014,"teacher_disagreement_score":0.087573335,"about_ca_system_score_codex":0.00037392456,"about_ca_system_score_gemma":0.00026392337,"threshold_uncertainty_score":0.8705575},"labels":[],"label_agreement":null},{"id":"W2574362288","doi":"10.5539/ass.v13n2p64","title":"Gender Segregation and the Gender Wage Gap: Rising Inequality in Alberta and Saskatchewan","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Wage; Workforce; Legislation; Demographic economics; Equity (law); Test (biology); Commission; Inequality; Political science; Labour economics; Economics; Business; Economic growth","score_opus":0.04590312634244986,"score_gpt":0.27719423732824605,"score_spread":0.2312911109857962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574362288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83883274,0.000089881905,0.00035856385,0.002923699,0.00014970958,0.00014514076,0.000021110873,0.0000058209725,0.15747336],"genre_scores_gemma":[0.9993907,0.000032633736,0.00014109182,0.00024308465,0.00005961657,0.000005897267,0.0000012640594,0.0000061296732,0.00011954304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989115,0.000047593843,0.00031150386,0.0003863917,0.000073534524,0.00026944993],"domain_scores_gemma":[0.9992166,0.00007208828,0.00031763277,0.0003040587,0.000027954355,0.00006164453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036754343,0.00009726732,0.00022256878,0.000062907195,0.0011351361,0.00053598953,0.00034257863,0.000067976376,0.000013963152],"category_scores_gemma":[0.0005279731,0.00008374858,0.000032298773,0.00017112565,0.0011201599,0.00056975,0.00021841409,0.00013755752,0.000004699798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010589839,0.0000116512265,0.18410073,0.000008411176,0.0000046422256,9.1282806e-7,0.011083814,1.2687474e-7,0.000009506207,0.7906116,0.0000039300153,0.014154071],"study_design_scores_gemma":[0.00040920076,0.0000024329017,0.6403741,0.0000020560235,0.0000016031196,6.207027e-7,0.0007073255,0.00040906304,0.000002713642,0.35790035,0.00010179392,0.00008872706],"about_ca_topic_score_codex":0.008067449,"about_ca_topic_score_gemma":0.0031008332,"teacher_disagreement_score":0.45627338,"about_ca_system_score_codex":0.00007595391,"about_ca_system_score_gemma":0.000050079434,"threshold_uncertainty_score":0.9985379},"labels":[],"label_agreement":null},{"id":"W2583176494","doi":"","title":"Three Essays on Empirical labour Economics","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Economics; Labour economics; Positive economics; Neoclassical economics; Classical economics","score_opus":0.045016177773617556,"score_gpt":0.25782318260126574,"score_spread":0.2128070048276482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583176494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7370187,0.00007573623,0.0054404596,0.006153545,0.00029419325,0.00010263048,0.00013290091,0.000070111775,0.25071174],"genre_scores_gemma":[0.99011576,0.00010516632,0.0010626907,0.006995793,0.00016438903,0.0000043233963,0.000012931219,0.00001603043,0.0015229075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866706,0.0000080167865,0.0005386574,0.0004454196,0.000022794384,0.00031805207],"domain_scores_gemma":[0.9991506,0.000058605478,0.000167736,0.00048522998,0.000022510078,0.00011531917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005855179,0.00016948457,0.00034948523,0.00012573312,0.00008195246,0.00010241738,0.00026485813,0.00012601075,0.0008950142],"category_scores_gemma":[0.000081940496,0.00017484321,0.0001254193,0.00015699252,0.000024170657,0.0001407319,0.00003214075,0.00016499656,0.00090168027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018865778,0.00012020188,0.035381258,0.0000025106474,0.000012561406,0.0000026496907,0.00002279388,0.000064370266,8.446805e-7,0.96083945,0.0004963523,0.003038119],"study_design_scores_gemma":[0.00033453578,0.00011513144,0.13524514,0.000002314297,0.0000012214917,0.0000011377005,0.000004961347,0.0022935492,0.000008005878,0.8347038,0.027060198,0.00023001431],"about_ca_topic_score_codex":0.00010423617,"about_ca_topic_score_gemma":0.000102418664,"teacher_disagreement_score":0.2530971,"about_ca_system_score_codex":0.00010869436,"about_ca_system_score_gemma":0.000016348858,"threshold_uncertainty_score":0.99987626},"labels":[],"label_agreement":null},{"id":"W2584472969","doi":"10.1016/j.red.2017.01.008","title":"Complex-task biased technological change and the labor market","year":2017,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"European Research Council; Social Sciences and Humanities Research Council of Canada; Seventh Framework Programme","keywords":"Task (project management); Wage; Set (abstract data type); Contrast (vision); Principal (computer security); Economics; Order (exchange); Technological change; Labour economics; Econometrics; Computer science; Artificial intelligence; Computer security; Macroeconomics; Management","score_opus":0.0732156394606833,"score_gpt":0.2797650239628332,"score_spread":0.2065493845021499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584472969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4025807,0.23026124,0.0016361973,0.11284137,0.0019728455,0.005420346,0.012138379,0.00019793762,0.232951],"genre_scores_gemma":[0.8285619,0.16892613,0.00042160487,0.0015524301,0.00007126043,0.000082126746,0.00004450141,0.000023297202,0.00031677392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982548,0.00006233789,0.0009787115,0.00041529548,0.00002884346,0.00026001214],"domain_scores_gemma":[0.9970001,0.00020902722,0.001399314,0.0012919062,0.000033957233,0.00006570225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033426497,0.0002107451,0.0010331459,0.00007003064,0.00024991098,0.00011477655,0.0008577132,0.000119492644,0.0003925568],"category_scores_gemma":[0.00060378085,0.00016727892,0.00020874382,0.000052751082,0.00079590204,0.00022184574,0.000359839,0.00017942225,0.000056113797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023172923,0.000025101528,0.027265111,0.0009340814,0.00005534146,0.0000013937523,0.0000124303615,3.732852e-7,2.2091962e-7,0.9629223,0.00025733237,0.008503166],"study_design_scores_gemma":[0.0035531663,0.00008044087,0.2648365,0.001831366,0.000091566755,0.000022554847,0.000038953982,0.14672226,8.8710215e-7,0.47090465,0.11102733,0.0008903342],"about_ca_topic_score_codex":0.0003835814,"about_ca_topic_score_gemma":0.0001682191,"teacher_disagreement_score":0.49201763,"about_ca_system_score_codex":0.00012736201,"about_ca_system_score_gemma":0.000019293957,"threshold_uncertainty_score":0.6821436},"labels":[],"label_agreement":null},{"id":"W2586309335","doi":"10.31648/oej.2924","title":"Controversies on the Economic Effects of Fixed - Term Employment - Evidence from the OECD Countries","year":2016,"lang":"en","type":"article","venue":"Olsztyn Economic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Term (time); Quarter (Canadian coin); Fixed effects model; Flexibility (engineering); Fixed cost; Market segmentation; Labour market flexibility; Demographic economics; Panel data; Macroeconomics; Econometrics; Unemployment; Microeconomics","score_opus":0.020901109134484612,"score_gpt":0.22276186392540676,"score_spread":0.20186075479092214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586309335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97136784,0.0015485068,0.000422379,0.022382554,0.002056427,0.0003126078,0.00058991753,0.00001357166,0.0013062189],"genre_scores_gemma":[0.9946641,0.002568863,0.000029869438,0.0016153073,0.0005394067,0.000021349255,0.0000023144714,0.000027834818,0.00053095433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980669,0.000121744386,0.0010186915,0.0003633449,0.000053509393,0.0003758326],"domain_scores_gemma":[0.98846257,0.009562396,0.0011848505,0.00066833897,0.000025546751,0.00009628752],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018206086,0.00024850242,0.00054393325,0.00007580848,0.00028682966,0.00024549142,0.0008583331,0.00009170582,0.0020092856],"category_scores_gemma":[0.0007239144,0.00013889286,0.0002804418,0.000024812227,0.000251786,0.00044239653,0.00012440396,0.00022750827,0.0011287382],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004485554,0.00006052018,0.46295816,0.00002280447,0.00079245213,0.000011064387,0.00090873294,0.00020937627,0.0001316695,0.50575477,0.024960976,0.0037409484],"study_design_scores_gemma":[0.005195777,0.0006303973,0.5925832,0.0008849121,0.00011999268,0.000025934203,0.00020396532,0.00067327946,0.0024891829,0.24702707,0.14900653,0.001159787],"about_ca_topic_score_codex":0.00045038908,"about_ca_topic_score_gemma":0.00011761007,"teacher_disagreement_score":0.2587277,"about_ca_system_score_codex":0.0008782181,"about_ca_system_score_gemma":0.00014183181,"threshold_uncertainty_score":0.999649},"labels":[],"label_agreement":null},{"id":"W2586941475","doi":"10.7202/1038439ar","title":"Rapport au diplôme et sentiment de surqualification des diplômés universitaires québécois","year":2016,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.11139948503974913,"score_gpt":0.30577101149309993,"score_spread":0.19437152645335082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586941475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9189611,0.01734343,0.022276629,0.031821426,0.0005861016,0.00032476563,0.0007833778,0.00016106317,0.0077421255],"genre_scores_gemma":[0.91745144,0.053154092,0.004924573,0.0004966566,0.00019291039,0.000034031153,0.00005907305,0.00007163512,0.023615586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965384,0.0009532657,0.0008489544,0.00073040975,0.000095894495,0.0008330811],"domain_scores_gemma":[0.9970492,0.0012812648,0.00062330853,0.0006077738,0.00018495324,0.00025349754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00649703,0.00039056886,0.00059538113,0.0003831951,0.00043185652,0.00022567231,0.00041743298,0.0007009153,0.00019912841],"category_scores_gemma":[0.0006561172,0.00040472744,0.0006069399,0.0006999828,0.00075455924,0.0007114474,0.00013763872,0.00035167715,0.00008913842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037071768,0.00032806958,0.7259048,0.0001643721,0.00042963182,0.000010056017,0.0089342,0.0000018905586,0.00018413099,0.23946789,0.0015882313,0.022949629],"study_design_scores_gemma":[0.0006050903,0.00012976656,0.5485902,0.00033114155,0.000082807994,0.0000055891196,0.00096922653,0.000101883204,0.0003664555,0.40694898,0.041147534,0.00072133506],"about_ca_topic_score_codex":0.1411244,"about_ca_topic_score_gemma":0.029411854,"teacher_disagreement_score":0.17731465,"about_ca_system_score_codex":0.005501104,"about_ca_system_score_gemma":0.0005040876,"threshold_uncertainty_score":0.99984044},"labels":[],"label_agreement":null},{"id":"W2587441498","doi":"","title":"Are parents more likely to be unemployed? A study of nine western democracies","year":2016,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Demographic economics; Work (physics); Kingdom; Relation (database); Western europe; Political science; Demography; Geography; Economic growth; Sociology; Economics; European union; Economic policy","score_opus":0.04523667866473884,"score_gpt":0.26999551176994435,"score_spread":0.2247588331052055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587441498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97878313,0.0010365911,0.00052205607,0.0017579095,0.004121553,0.0016823607,0.007386642,0.00015635598,0.004553376],"genre_scores_gemma":[0.99503815,0.00013516686,0.0002407978,0.0007934423,0.0004061934,0.00033014364,0.000070056725,0.00015071171,0.0028353138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939095,0.00015029656,0.002875035,0.0019642385,0.00022167752,0.0008793006],"domain_scores_gemma":[0.99295855,0.0003075952,0.003609403,0.002342521,0.00030760778,0.00047435233],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014903612,0.00096315466,0.002642933,0.0009433321,0.00020805393,0.0001956673,0.0014930511,0.0006339542,0.00086953974],"category_scores_gemma":[0.0006423117,0.0010079865,0.00054770225,0.00035272696,0.00029441837,0.00027125952,0.0017386414,0.00078307797,0.00033808418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009089945,0.0009395746,0.99119943,0.00023721483,0.0006009022,0.0000457828,0.0017233627,0.000078194906,0.0000050797216,0.0033978163,0.0014829922,0.00019876905],"study_design_scores_gemma":[0.0019258152,0.00031132673,0.97769195,0.00040213717,0.000089014924,0.000010661027,0.0009049646,0.00007859559,0.000022214484,0.0105546415,0.006486681,0.0015219831],"about_ca_topic_score_codex":0.0008991634,"about_ca_topic_score_gemma":0.0021075998,"teacher_disagreement_score":0.01625502,"about_ca_system_score_codex":0.00060227443,"about_ca_system_score_gemma":0.00022443625,"threshold_uncertainty_score":0.99923706},"labels":[],"label_agreement":null},{"id":"W2588450311","doi":"10.17451/eko/46/2016/197","title":"Educational mismatches and earnings in Poland: are graduates penalised for being overeducated?","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Economics; Labour economics; Quarter (Canadian coin); Educational attainment; Demographic economics; Human capital","score_opus":0.03333831018650391,"score_gpt":0.28795612475187243,"score_spread":0.2546178145653685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588450311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396826,0.00013690947,0.000009270442,0.005354844,0.00015130533,0.0003351874,0.00020778771,0.000009375697,0.009827065],"genre_scores_gemma":[0.9945307,0.0027197222,0.0003157784,0.00009108983,0.00010757711,0.0001433345,0.000021635235,0.000033027693,0.0020371487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812835,0.000055685643,0.00063173403,0.0005940792,0.000040566047,0.0005495761],"domain_scores_gemma":[0.9980172,0.0012877504,0.00022457221,0.00029234387,0.00005395024,0.0001241779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021857459,0.00015516128,0.00037923327,0.00045941674,0.00011030897,0.00009505335,0.00022974437,0.00012336537,0.000104767714],"category_scores_gemma":[0.0015035152,0.00015026654,0.00007073876,0.00014808432,0.00014660842,0.00023589346,0.000099422796,0.00020117224,0.000010140666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007497072,0.00011268694,0.91553867,0.00006677965,0.00002433226,0.0000017758664,0.00040718756,0.00001173191,0.00009554216,0.07456741,0.000024892788,0.009074015],"study_design_scores_gemma":[0.0015045034,0.000055506716,0.73774344,0.0001265943,0.0000013155541,0.0000033855235,0.00031132295,0.0006434691,0.00005271451,0.25265208,0.006599309,0.00030632896],"about_ca_topic_score_codex":0.0002760175,"about_ca_topic_score_gemma":0.00055957626,"teacher_disagreement_score":0.17808467,"about_ca_system_score_codex":0.000438608,"about_ca_system_score_gemma":0.00012745142,"threshold_uncertainty_score":0.6127692},"labels":[],"label_agreement":null},{"id":"W2592067217","doi":"","title":"An international comparison of lifetime labor income values and inequality","year":2008,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Economics; Inequality; Economic inequality; Labour economics; Demographic economics; Mathematics","score_opus":0.022986789525481357,"score_gpt":0.2634919007660959,"score_spread":0.24050511124061455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592067217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.933459,0.0032436429,0.033213366,0.0075615966,0.0008044601,0.0003398647,0.0021007764,0.000066754204,0.019210557],"genre_scores_gemma":[0.9535125,0.009293447,0.031938493,0.00008759824,0.000058996146,0.00002670214,0.0008886816,0.000049346472,0.0041442257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930571,0.0033006864,0.0019336467,0.0010988687,0.00022737737,0.00038237488],"domain_scores_gemma":[0.9922545,0.0013673268,0.002115509,0.002148532,0.0018686033,0.00024552795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009597599,0.00041450668,0.0010726395,0.00030048777,0.00029024665,0.00031633576,0.0015223899,0.000479855,0.00030034312],"category_scores_gemma":[0.0023417023,0.0005422829,0.00023693772,0.0003885505,0.00063110195,0.000398983,0.0012047177,0.00069352944,0.000029752739],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022876704,0.0010528394,0.5333218,0.00016867372,0.00013747133,0.0000018114457,0.00819187,0.00015131953,0.00007326954,0.44660902,0.000042612468,0.010226447],"study_design_scores_gemma":[0.000985115,0.0000029087867,0.74090296,0.0010495275,0.000038037975,0.000006979546,0.00020447059,0.16709471,0.0015733986,0.07449681,0.012840613,0.0008044805],"about_ca_topic_score_codex":0.004897035,"about_ca_topic_score_gemma":0.000855516,"teacher_disagreement_score":0.3721122,"about_ca_system_score_codex":0.00020440354,"about_ca_system_score_gemma":0.00014291174,"threshold_uncertainty_score":0.9997029},"labels":[],"label_agreement":null},{"id":"W2593367887","doi":"10.1111/ecin.12446","title":"THE EFFECTS OF MACROECONOMIC CONDITIONS AT GRADUATION ON OVEREDUCATION","year":2017,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Graduation (instrument); Unemployment; Economics; Apprenticeship; Instrumental variable; German; Labour economics; Percentage point; Underemployment; Panel data; Demographic economics; Affect (linguistics); Point (geometry); Econometrics; Psychology; Macroeconomics","score_opus":0.03223053547981874,"score_gpt":0.28436886533145034,"score_spread":0.2521383298516316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593367887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711612,0.00018505855,0.000049219852,0.0012833293,0.0071976515,0.00028111658,0.00021085184,0.000014895056,0.019616669],"genre_scores_gemma":[0.9964586,0.0003595737,0.000022290747,0.00013815884,0.0004782991,0.000059723232,0.00004771631,0.000021645543,0.0024139865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987652,0.000025109859,0.0006195619,0.00034634836,0.00001893438,0.00022484893],"domain_scores_gemma":[0.99737203,0.00034788053,0.0011298958,0.0010769122,0.000018441291,0.000054831653],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069796626,0.00014061162,0.00028239164,0.000079492784,0.00084506423,0.00016059844,0.00046367533,0.00008264206,0.00013408178],"category_scores_gemma":[0.00034056738,0.00014091405,0.00013511036,0.000015422074,0.00028598477,0.00027069522,0.00011420976,0.00009557127,0.0007931527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034251276,0.000046775822,0.030571682,0.000034438603,0.00006963028,5.7311905e-7,0.00029238246,0.00006761121,0.000065478205,0.96333414,0.004624715,0.0008583077],"study_design_scores_gemma":[0.0010353769,0.00012079721,0.5342099,0.00003387594,0.000011984137,0.0000022851923,0.000055927303,0.0018772227,0.0011128095,0.43529895,0.025902823,0.00033806442],"about_ca_topic_score_codex":0.00025224287,"about_ca_topic_score_gemma":0.00013422006,"teacher_disagreement_score":0.5280352,"about_ca_system_score_codex":0.00046903035,"about_ca_system_score_gemma":0.00003656115,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W2594051006","doi":"10.3390/land6010017","title":"Identifying Employment Subcenters: The Method of Exponentially Declining Cutoffs","year":2017,"lang":"en","type":"article","venue":"Land","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exponential growth; Statistics; Econometrics; Mathematics; Economics; Mathematical analysis","score_opus":0.08571747908413745,"score_gpt":0.3219631578653795,"score_spread":0.23624567878124203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594051006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9187398,0.00039207394,0.07204391,0.00087075285,0.00090819714,0.00013756519,0.00011999233,0.000014319294,0.006773419],"genre_scores_gemma":[0.99598783,0.00014247737,0.0031726477,0.0001033256,0.00009042994,0.0000072268626,0.000006355865,0.000012931483,0.00047679557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990603,0.00003757629,0.0004649809,0.00022130537,0.000042784133,0.00017309352],"domain_scores_gemma":[0.9985363,0.00010479916,0.0006205207,0.0006760999,0.00002699958,0.00003530428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019884736,0.00008835982,0.00026129434,0.000043029388,0.00025924775,0.00020871834,0.00039456028,0.000046837788,0.000097456694],"category_scores_gemma":[0.00021935765,0.000071967486,0.00010990066,0.000033681576,0.00004969137,0.00016066692,0.00017480696,0.0000921675,0.000024201947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017698596,0.00003223357,0.91681874,0.000019114299,0.000063720174,0.0000041837543,0.00036939656,0.000015924972,0.000057590536,0.08070336,0.00002848812,0.0018695263],"study_design_scores_gemma":[0.0008506368,0.00003262608,0.8726157,0.000045598386,0.000017793704,0.0000037528332,0.00006045613,0.003420379,0.00014830913,0.114605375,0.00798597,0.00021341562],"about_ca_topic_score_codex":0.0031967233,"about_ca_topic_score_gemma":0.00094052765,"teacher_disagreement_score":0.077248044,"about_ca_system_score_codex":0.00002030027,"about_ca_system_score_gemma":0.000008762202,"threshold_uncertainty_score":0.48325107},"labels":[],"label_agreement":null},{"id":"W2594364404","doi":"","title":"Occupational Choice and Matching in the Labor Market","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Economics; Matching (statistics); Inequality; Distribution (mathematics); Educational attainment; Labour economics; Econometrics","score_opus":0.05411228043141842,"score_gpt":0.3296930725788429,"score_spread":0.2755807921474245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594364404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8508221,0.0006033354,0.000006319014,0.0017952847,0.00042744563,0.0006083991,0.0008592051,0.000012218509,0.14486572],"genre_scores_gemma":[0.9871241,0.010166669,0.0003228897,0.00029983715,0.0002686907,0.00022318777,0.00008993979,0.00004732507,0.0014573685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968019,0.0002732493,0.0010493227,0.0010716396,0.00011087322,0.0006929779],"domain_scores_gemma":[0.99656445,0.0012338979,0.0005512714,0.0014830336,0.00006214933,0.00010522934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009334427,0.0003100979,0.00069435977,0.00056669256,0.00029412488,0.00070532644,0.0013450799,0.00043630146,0.00015356725],"category_scores_gemma":[0.0015847164,0.00031628614,0.00012689643,0.0001179607,0.0002813417,0.00022130374,0.0011558831,0.0019273488,0.000012255876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009101656,0.00020218323,0.83355385,0.00028655425,0.00007748187,0.000034664172,0.0010675739,0.0007820467,0.0000012454553,0.13805957,0.0000923272,0.025751514],"study_design_scores_gemma":[0.0005156088,0.000019175828,0.7149063,0.00009710118,0.0000019988188,0.0000035807375,0.00016761386,0.0069632162,2.7877218e-7,0.25515214,0.021826992,0.00034600886],"about_ca_topic_score_codex":0.0022964098,"about_ca_topic_score_gemma":0.0035299996,"teacher_disagreement_score":0.14340834,"about_ca_system_score_codex":0.0005337332,"about_ca_system_score_gemma":0.00025055304,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W2595332148","doi":"","title":"The role of non-participants in labour market dynamics","year":2017,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Economics; Labour economics; Unemployment rate; Mainstream; Wage; Business cycle; Dynamics (music); Value (mathematics); Demographic economics; Macroeconomics; Political science; Psychology","score_opus":0.02016418194444406,"score_gpt":0.25031434207967734,"score_spread":0.2301501601352333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595332148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7805074,0.00016824776,0.0002037111,0.000606889,0.00020452596,0.00009920646,0.00015014892,0.0000056626377,0.21805422],"genre_scores_gemma":[0.9948444,0.00024362217,0.00017006055,0.00004924767,0.000023623421,0.000011996089,0.0000022074264,0.0000116807705,0.00464316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988714,0.000015376156,0.0005579266,0.00020782655,0.000032186013,0.00031527248],"domain_scores_gemma":[0.99855447,0.00009484282,0.0004417064,0.00082644884,0.000032719807,0.000049838167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016312066,0.00009365911,0.00026701944,0.000054661694,0.00020692013,0.0001384834,0.0005934712,0.00006649787,0.00019393237],"category_scores_gemma":[0.00043161708,0.00007794658,0.00006515015,0.00006870582,0.00009673825,0.00016236134,0.00016374534,0.000105168154,0.000035610872],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014283048,0.000029434432,0.46966085,0.0000052616665,0.000010266308,8.1885076e-7,0.000030002544,0.0000037219133,0.000003896122,0.527476,0.000018101222,0.0027473615],"study_design_scores_gemma":[0.00023770033,0.000011702108,0.5987134,0.000005663807,0.0000010115169,1.3376938e-7,0.00007441636,0.09012823,0.00002565592,0.30741048,0.003301397,0.00009022145],"about_ca_topic_score_codex":0.0031966916,"about_ca_topic_score_gemma":0.0050227502,"teacher_disagreement_score":0.22006553,"about_ca_system_score_codex":0.00006351888,"about_ca_system_score_gemma":0.000017279639,"threshold_uncertainty_score":0.48324627},"labels":[],"label_agreement":null},{"id":"W2595468918","doi":"10.3386/w23240","title":"Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Minnesota; Alfred P. Sloan Foundation; Ewing Marion Kauffman Foundation; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Overconfidence effect; Turnover; Training (meteorology); Business; Field (mathematics); Psychology; Labour economics; Demographic economics; Economics; Social psychology; Management; Mathematics; Geography","score_opus":0.5369366585349975,"score_gpt":0.5123742254304172,"score_spread":0.024562433104580284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595468918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4788197,0.04093263,0.0006566531,0.01732099,0.0022884812,0.0031234482,0.0148580205,0.000047013935,0.44195306],"genre_scores_gemma":[0.9842527,0.010362242,0.0005893564,0.000059213708,0.00074658176,0.0001785689,0.00025721264,0.000040351762,0.0035137702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975101,0.000044804332,0.0010092711,0.0008833985,0.00018607326,0.00036637142],"domain_scores_gemma":[0.9932279,0.0044040717,0.0008401217,0.00060447736,0.0007890645,0.00013437115],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007035807,0.00022156106,0.00074930774,0.0004214206,0.00029732042,0.00032204267,0.0005324447,0.0004975856,0.00020357835],"category_scores_gemma":[0.008822384,0.00025419475,0.00015064565,0.00006779533,0.00028127225,0.00042812328,0.0002611841,0.000555021,0.000011065899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000738797,0.000027570979,0.16433924,0.00018412515,0.00026034802,7.7470435e-7,0.00024418795,0.000006546965,0.000018055298,0.81595147,0.014708872,0.004184915],"study_design_scores_gemma":[0.0002839012,0.00006211803,0.14365648,0.00024402911,0.000011129089,0.0000041520916,0.000027067013,0.000259147,0.0000043389305,0.8413454,0.013870772,0.00023143347],"about_ca_topic_score_codex":0.007035018,"about_ca_topic_score_gemma":0.0011525265,"teacher_disagreement_score":0.505433,"about_ca_system_score_codex":0.00053479325,"about_ca_system_score_gemma":0.0012412553,"threshold_uncertainty_score":0.999991},"labels":[],"label_agreement":null},{"id":"W2595760504","doi":"10.1016/j.ssresearch.2017.03.003","title":"Gender differences in the earnings produced by a middle range education: The case of Canadian ‘colleges’","year":2017,"lang":"en","type":"article","venue":"Social Science Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Gender gap; Demographic economics; Sample (material); Division of labour; Economics; Labour economics; Accounting","score_opus":0.2165197593944673,"score_gpt":0.3714785541100126,"score_spread":0.15495879471554533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595760504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92380977,0.00020826793,0.0000011125767,0.013371378,0.00014351011,0.00030207017,0.0000723792,0.0000015415706,0.062090002],"genre_scores_gemma":[0.9990748,0.00007233379,0.0000064101055,0.00008213461,0.000100675614,0.000054833672,8.4099264e-7,0.0000037405932,0.000604218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987532,0.00013360012,0.00021803066,0.00028641056,0.00015570545,0.00045307935],"domain_scores_gemma":[0.9990105,0.00012634174,0.00014976846,0.00045555944,0.00017710608,0.00008072792],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011895466,0.00005704571,0.00013425302,0.00033141425,0.00271386,0.00043909875,0.0013866021,0.000047383972,0.000065309054],"category_scores_gemma":[0.0015416198,0.000038696864,0.000034952605,0.0012829666,0.0012767239,0.00022032773,0.00011503614,0.00029279763,0.000011934895],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046631712,0.00007231666,0.26340315,0.000015951513,0.0000044921476,0.0000115862895,0.012292219,5.4767565e-8,0.00003178325,0.7210979,0.00081971765,0.0022461861],"study_design_scores_gemma":[0.00018803528,0.00003158776,0.89141864,0.000009418339,0.000001285792,0.000006560055,0.009874656,0.00018405827,0.000021851936,0.08959889,0.008522555,0.00014247729],"about_ca_topic_score_codex":0.4211443,"about_ca_topic_score_gemma":0.08265399,"teacher_disagreement_score":0.631499,"about_ca_system_score_codex":0.00017192945,"about_ca_system_score_gemma":0.0008372377,"threshold_uncertainty_score":0.99858445},"labels":[],"label_agreement":null},{"id":"W2598557097","doi":"10.2139/ssrn.5241483","title":"Unemployment Insurance and Subsequent Job Duration: Job Matching vs Unobserved Heterogeneity","year":2000,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Duration (music); Unemployment; Matching (statistics); Economics; Labour economics; Demographic economics; Econometrics; Statistics; Mathematics","score_opus":0.026020367527917698,"score_gpt":0.2422248620386797,"score_spread":0.216204494510762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598557097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97443634,0.016883783,0.004285464,0.0017024563,0.000856139,0.0003522761,0.0003118554,0.000051546373,0.0011201515],"genre_scores_gemma":[0.9478188,0.050451636,0.0002170432,0.00025549764,0.00043512415,0.000031014548,0.000050207906,0.00006981917,0.00067084975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951937,0.00014913098,0.0016477765,0.0008554703,0.00014914453,0.0020047745],"domain_scores_gemma":[0.9979155,0.000050431867,0.0011325376,0.0006229944,0.0000859988,0.00019250954],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0043560974,0.00051246205,0.0009177224,0.00023638517,0.00036915936,0.0004723225,0.00060806307,0.00038874688,0.000082639344],"category_scores_gemma":[0.000055657056,0.00056390336,0.00034275994,0.00017067629,0.000074141266,0.00027677463,0.0003122049,0.003607394,0.00003288462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019060555,0.000119687335,0.37704635,0.00013023466,0.000685201,0.000020779604,0.0002803713,0.001672157,0.000015570842,0.6166514,0.000017107222,0.0031705443],"study_design_scores_gemma":[0.00075693894,0.000121893165,0.12453468,0.000082459395,0.000023536895,0.0001371973,0.00004400399,0.0007111664,0.000009710401,0.871862,0.0010870744,0.00062932144],"about_ca_topic_score_codex":0.001563447,"about_ca_topic_score_gemma":0.0040318146,"teacher_disagreement_score":0.2552106,"about_ca_system_score_codex":0.0019725147,"about_ca_system_score_gemma":0.00077294937,"threshold_uncertainty_score":0.99968123},"labels":[],"label_agreement":null},{"id":"W2598911556","doi":"","title":"The transformation of the female labor market","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Transformation (genetics); Labour economics; Economics; Business","score_opus":0.03163306904435039,"score_gpt":0.20621805035201674,"score_spread":0.17458498130766634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598911556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5191209,0.00017136702,0.0010390584,0.00072137173,0.00030649386,0.00013673182,0.00010525933,0.000010185924,0.47838864],"genre_scores_gemma":[0.9958667,0.0001611789,0.00014047073,0.000168638,0.000012970209,0.000007911451,9.21278e-7,0.0000057143798,0.003635467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99935186,0.00002171849,0.0003909619,0.00009138404,0.000024875206,0.000119204684],"domain_scores_gemma":[0.9994037,0.000049303075,0.0001768655,0.00032048326,0.000031400472,0.000018248014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009376417,0.00005650243,0.00010875098,0.000020373789,0.000110672816,0.000018472452,0.00027067773,0.000036879654,0.00069483597],"category_scores_gemma":[0.0000632915,0.00003257927,0.00008052534,0.00016375468,0.000058289712,0.0001001998,0.000027591366,0.00005942375,0.000024491512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013202593,0.00002203223,0.057656,0.0000088863535,0.000013478372,4.916718e-8,0.0005885943,5.133931e-7,0.0000024360265,0.9407022,0.00015339526,0.0008392165],"study_design_scores_gemma":[0.0002589952,0.000022527747,0.6328111,0.000005266494,0.0000039338665,5.797873e-7,0.0002862916,0.0017063317,0.00034921354,0.32822132,0.036218703,0.000115711475],"about_ca_topic_score_codex":0.000328626,"about_ca_topic_score_gemma":0.0001728187,"teacher_disagreement_score":0.6124809,"about_ca_system_score_codex":0.000015381685,"about_ca_system_score_gemma":0.000009312366,"threshold_uncertainty_score":0.76079667},"labels":[],"label_agreement":null},{"id":"W2599208463","doi":"10.3982/qe321","title":"Dynamic skill accumulation, education policies, and the return to schooling","year":2017,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Graduation (instrument); Wage; Economics; Demographic economics; Labour economics; Instrumental variable; Econometrics; Mathematics","score_opus":0.05140553532377361,"score_gpt":0.3298576502926928,"score_spread":0.2784521149689192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599208463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716825,0.00070933707,0.003465368,0.009654754,0.0008079426,0.00038084478,0.00019236108,0.00001795058,0.013088972],"genre_scores_gemma":[0.99288106,0.00068510865,0.0042885654,0.0011747439,0.00007439563,0.000036629426,0.000020430685,0.000025782001,0.00081325654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987616,0.000033813205,0.00056156656,0.00039678923,0.00001764739,0.0002286128],"domain_scores_gemma":[0.9982235,0.00020410934,0.0006652557,0.000725893,0.00008058334,0.000100647696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013667331,0.00016074262,0.00036606216,0.0001348522,0.0006794143,0.0006510872,0.00043447097,0.0000737813,0.00003485491],"category_scores_gemma":[0.0012985553,0.00015188889,0.000078325145,0.00006062523,0.0002126184,0.0005301647,0.00017588589,0.00014252427,0.0001309778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005234186,0.000020185496,0.033362973,0.000008964886,0.000036248483,1.108914e-7,0.0010743755,0.00015331955,0.0000016769428,0.9640975,0.00006651089,0.0011258035],"study_design_scores_gemma":[0.0007184849,0.000028989056,0.22678046,0.00001648096,0.0000073696187,0.0000015467164,0.00041139685,0.03751544,0.0000030770627,0.72327036,0.010986704,0.00025971275],"about_ca_topic_score_codex":0.0019169996,"about_ca_topic_score_gemma":0.0008058514,"teacher_disagreement_score":0.24082714,"about_ca_system_score_codex":0.0001537392,"about_ca_system_score_gemma":0.00006585131,"threshold_uncertainty_score":0.62784487},"labels":[],"label_agreement":null},{"id":"W2599282959","doi":"10.3386/w23264","title":"Living Up to Expectations: How Job Training Made Women Better Off and Men Worse Off","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Science and Industry Endowment Fund; World Bank Group","keywords":"Training (meteorology); Job training; Psychology; Demographic economics; Gerontology; Demography; Medicine; Economics; Geography; Sociology; Pedagogy; Vocational education","score_opus":0.3196804517857596,"score_gpt":0.4458882350373968,"score_spread":0.12620778325163717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599282959","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33642378,0.0035048446,0.000036715388,0.0046970164,0.0011476392,0.00095911825,0.0016585796,0.000027942186,0.6515444],"genre_scores_gemma":[0.9446127,0.0029165535,0.0003641494,0.000070394766,0.0010493606,0.0003659312,0.00016803027,0.00008372444,0.05036919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99645,0.00012546609,0.0011836935,0.0010338111,0.00044809963,0.00075893395],"domain_scores_gemma":[0.9959697,0.001236943,0.00097252923,0.0007068715,0.0008210889,0.0002928467],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011983274,0.00033200605,0.0010666116,0.0015591187,0.00038017496,0.0005691488,0.00083997735,0.00044675745,0.00061968795],"category_scores_gemma":[0.0048327628,0.0004012561,0.00018015293,0.00017786727,0.00024825652,0.00047209216,0.00049102097,0.0007531643,0.00014980262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016204796,0.00017639081,0.052834738,0.0008039749,0.0015800225,0.000022140333,0.016199712,0.00014194501,0.00004573776,0.79741585,0.08239543,0.048221983],"study_design_scores_gemma":[0.00085985387,0.00019793391,0.053371057,0.00041805586,0.000013843597,0.000020080499,0.0026056927,0.0024374204,0.0000057840844,0.77216464,0.16681178,0.0010938809],"about_ca_topic_score_codex":0.0010152024,"about_ca_topic_score_gemma":0.00020375848,"teacher_disagreement_score":0.60818887,"about_ca_system_score_codex":0.002437995,"about_ca_system_score_gemma":0.0014518177,"threshold_uncertainty_score":0.99984396},"labels":[],"label_agreement":null},{"id":"W2601699015","doi":"10.1177/0019793917701116","title":"The Impact of Training on Innovation","year":2017,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Stock (firearms); Productivity; Training (meteorology); Business; Product innovation; Labour economics; Industrial organization; Marketing; Economics; Engineering; Economic growth","score_opus":0.1682618784022971,"score_gpt":0.3347965675272669,"score_spread":0.1665346891249698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601699015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9088605,0.020620259,0.00004831984,0.012486468,0.000437185,0.00057132007,0.00053730165,0.000013647455,0.056424987],"genre_scores_gemma":[0.9879886,0.01088745,0.000018560435,0.00008525966,0.00009524732,0.000012701647,0.000013146291,0.0000062158656,0.0008928387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991515,0.000026391272,0.00056706043,0.00012841389,0.000026813424,0.00009979192],"domain_scores_gemma":[0.99865985,0.00012933552,0.00074832205,0.0003688465,0.0000697892,0.000023870914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014185315,0.000075558615,0.00026414514,0.000051358496,0.00042152617,0.00008508272,0.00015495974,0.00009947723,0.00015294601],"category_scores_gemma":[0.0023297386,0.000051859755,0.00006853158,0.00022031502,0.0000730856,0.00013035804,0.000028638684,0.0002207328,0.00002249138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080911095,0.000013478865,0.035698995,0.000016463424,0.00003666525,2.2288867e-7,0.000028253902,0.0000074221857,8.038645e-7,0.9251557,0.00081585336,0.038218074],"study_design_scores_gemma":[0.0011317771,0.00017665853,0.50736123,0.001162968,0.000027547667,0.0000021203634,0.000017317325,0.0006260378,0.000002077273,0.22756697,0.26164052,0.00028481227],"about_ca_topic_score_codex":0.00023124936,"about_ca_topic_score_gemma":0.0000075364433,"teacher_disagreement_score":0.6975887,"about_ca_system_score_codex":0.000030940948,"about_ca_system_score_gemma":0.000044503973,"threshold_uncertainty_score":0.3242081},"labels":[],"label_agreement":null},{"id":"W2602727731","doi":"","title":"The Response of Real Wages to demand Shocks","year":2005,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Real wages; Wage","score_opus":0.0500868594755725,"score_gpt":0.28394838652978677,"score_spread":0.23386152705421426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602727731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426503,0.00007921119,0.0005939298,0.006589136,0.000041149713,0.0001741853,0.00021004137,0.000009501514,0.049652517],"genre_scores_gemma":[0.98858863,0.00052285666,0.0008173788,0.00001923679,0.000028167939,4.558862e-7,0.0000031543889,0.000007833571,0.010012289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988548,0.00018678461,0.00024648642,0.00024497902,0.00014205815,0.00032489677],"domain_scores_gemma":[0.9984039,0.00066409394,0.00013821486,0.0004748879,0.00019525505,0.00012365286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064756246,0.00006930033,0.00022886152,0.0003186931,0.00032765316,0.000025789468,0.000655803,0.000073822135,0.0002234593],"category_scores_gemma":[0.000547159,0.0000733517,0.00009095365,0.0005096275,0.00025838107,0.00014273319,0.0002686041,0.00018724593,0.00009204059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002523996,0.00011861939,0.14265637,0.00002962309,0.000065946486,0.000010800148,0.0011728096,0.00011159814,0.00044441968,0.84659225,0.0038113233,0.004733854],"study_design_scores_gemma":[0.00062036753,0.00026413667,0.60395724,0.000016007663,0.0000034355592,8.264668e-7,0.0010089825,0.0017628452,0.00021880123,0.017390808,0.3745978,0.00015875207],"about_ca_topic_score_codex":0.00058969896,"about_ca_topic_score_gemma":0.0013995037,"teacher_disagreement_score":0.8292014,"about_ca_system_score_codex":0.00013007362,"about_ca_system_score_gemma":0.000054306925,"threshold_uncertainty_score":0.29911956},"labels":[],"label_agreement":null},{"id":"W2602940548","doi":"","title":"Job Search and Labor Market Outcomes of New Graduates in China: Using the Latest Available Survey Data","year":2017,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Graduation (instrument); Wage; Survey data collection; Human capital; Labour economics; Wage growth; Economics; Demographic economics; Political science; Economic growth","score_opus":0.137604102888729,"score_gpt":0.3122192490828869,"score_spread":0.17461514619415788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602940548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9059338,0.08895138,0.000011152266,0.0015069009,0.00011012891,0.0002591489,0.0017825942,0.0000016170727,0.0014432778],"genre_scores_gemma":[0.5461238,0.4529626,0.00046319774,0.00008233451,0.000012391727,0.0000017057445,0.000015385567,0.00001062513,0.00032794362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984101,0.000045971177,0.00089251023,0.0004259674,0.00001902745,0.00020643737],"domain_scores_gemma":[0.99767584,0.0001404842,0.00076652225,0.0013434503,0.000036696503,0.000037012946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041802623,0.00015777498,0.0008955245,0.000056557146,0.00012265684,0.00008378512,0.00072029646,0.000058520218,0.000047553738],"category_scores_gemma":[0.00064035464,0.00013519182,0.0000493539,0.000085385735,0.00018051709,0.00035611805,0.00053446897,0.0001251937,0.0000029680393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010301714,0.000024503743,0.9447045,0.00067227747,0.00003067658,5.5951955e-7,0.00003329154,0.000018380486,3.2379648e-7,0.05250108,0.00022984408,0.0017743066],"study_design_scores_gemma":[0.0003449319,0.000016990212,0.9630732,0.0005010737,0.000008791693,0.0000015860749,0.0000034014683,0.018163107,0.000001854623,0.0122175235,0.0055044726,0.00016305783],"about_ca_topic_score_codex":0.011655562,"about_ca_topic_score_gemma":0.0017132307,"teacher_disagreement_score":0.36401126,"about_ca_system_score_codex":0.00002178856,"about_ca_system_score_gemma":0.00006929005,"threshold_uncertainty_score":0.9949259},"labels":[],"label_agreement":null},{"id":"W2605565451","doi":"","title":"Essays in Macro-Labour Economics","year":2017,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Macro; Economics; Labour economics; Neoclassical economics; Computer science","score_opus":0.019724818973745985,"score_gpt":0.21533675677975633,"score_spread":0.19561193780601036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605565451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.892095,0.0007466182,0.00004399745,0.00069445156,0.00079039106,0.00021287307,0.0007780776,0.000014707639,0.10462385],"genre_scores_gemma":[0.9580872,0.002383246,0.00009489419,0.00003034949,0.00007180611,7.6822664e-7,0.0002747738,0.00002778387,0.03902916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988228,0.000035488643,0.00040534086,0.0004210901,0.000038756258,0.00027651014],"domain_scores_gemma":[0.99762344,0.00007110509,0.001276805,0.00090640405,0.00006589179,0.000056372613],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001029278,0.0002184641,0.0006745259,0.00027279928,0.00026593255,0.000057993286,0.0012910182,0.00032901223,0.0006666272],"category_scores_gemma":[0.000078976525,0.00026696495,0.000259435,0.00013763571,0.00010301517,0.0002421662,0.00010454963,0.0003822152,0.00016182574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030723607,0.00011719324,0.016403936,0.000302896,0.00018832534,0.00002746334,0.002791949,0.0000980129,0.00009678138,0.975394,0.00039214073,0.003880033],"study_design_scores_gemma":[0.0008992647,0.00003425491,0.66367334,0.000056841065,0.00003417151,0.0000012078647,0.00176087,0.00067792455,0.0000069805324,0.30518544,0.027214477,0.00045522008],"about_ca_topic_score_codex":0.008887602,"about_ca_topic_score_gemma":0.010360558,"teacher_disagreement_score":0.67020863,"about_ca_system_score_codex":0.00016636027,"about_ca_system_score_gemma":0.00008431977,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W2606861589","doi":"10.1257/aer.p20171013","title":"Returns to Education through Access to Higher-Paying Firms: Evidence from US Matched Employer-Employee Data","year":2017,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sorting; Labour economics; Economics; Higher education; Representation (politics); Demographic economics; Political science; Economic growth","score_opus":0.18201864986829258,"score_gpt":0.3928834365973275,"score_spread":0.21086478672903491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606861589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89614695,0.039321408,0.0016268415,0.04124321,0.0031822457,0.0019747142,0.0026073498,0.000111371286,0.013785926],"genre_scores_gemma":[0.86887115,0.09430692,0.0071071237,0.027917953,0.0006534115,0.000251153,0.00024002901,0.00009493395,0.00055730017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99655664,0.00007197875,0.0013715575,0.001468316,0.000050097045,0.0004813832],"domain_scores_gemma":[0.9925846,0.00021384408,0.0016209404,0.0052300063,0.00005445395,0.00029617207],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013338567,0.00036057524,0.0013761979,0.00009077549,0.00027850576,0.00084689463,0.0043142475,0.00006109815,0.00085439417],"category_scores_gemma":[0.0011134128,0.00039911614,0.00015860706,0.00018941239,0.00012123673,0.002305192,0.0016693285,0.00019242655,0.0023384697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004726846,0.00011530866,0.7791935,0.0006188169,0.0002431289,0.0000043210594,0.0004429468,0.000032752065,0.000009862022,0.0138014415,0.09811619,0.10737442],"study_design_scores_gemma":[0.00015590101,0.000077097735,0.4951377,0.0018563916,0.000056370664,0.0000017957223,0.000035777368,0.000093955445,0.0000065437694,0.019209573,0.48250145,0.00086747325],"about_ca_topic_score_codex":0.039237075,"about_ca_topic_score_gemma":0.002551523,"teacher_disagreement_score":0.38438526,"about_ca_system_score_codex":0.00045187076,"about_ca_system_score_gemma":0.00018827991,"threshold_uncertainty_score":0.9998461},"labels":[],"label_agreement":null},{"id":"W2607083689","doi":"10.1177/0019793917714205","title":"The Perfect Storm: Graduating during a Recession in a Segmented Labor Market","year":2017,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Churning; Labour economics; Recession; Economics; Labor demand; Nonfarm payrolls; Wage; Shock (circulatory); Monopsony; Secondary labor market; Demographic economics; Labor relations","score_opus":0.05747770829036439,"score_gpt":0.2797984419091846,"score_spread":0.22232073361882024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607083689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920027,0.05604073,0.000007797998,0.014446125,0.0004921038,0.0006896902,0.00021555398,0.000022075299,0.008058905],"genre_scores_gemma":[0.92791456,0.067055784,0.00006331447,0.00016342198,0.00017083972,0.00009151501,0.000014036487,0.000018463286,0.0045080683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985193,0.00012640185,0.0007618806,0.000304082,0.000053914446,0.00023442475],"domain_scores_gemma":[0.99852157,0.00018653102,0.0006656911,0.00051102426,0.000048345257,0.00006685271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002519749,0.00014402629,0.0003816837,0.00006976819,0.0010289695,0.0002427651,0.00026135475,0.000121466765,0.00029848327],"category_scores_gemma":[0.0028770927,0.00011231821,0.00006772646,0.00027731105,0.00007138116,0.00030386163,0.00012480306,0.00039426368,0.0000321296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004818113,0.00005081678,0.9039417,0.00023264922,0.0000448232,0.000007442113,0.00011011038,0.0000036326446,0.0000042084916,0.06738482,0.001277313,0.0268943],"study_design_scores_gemma":[0.0018951462,0.000038368264,0.792404,0.0028292371,0.000028683535,0.000005279614,0.00004362395,0.0010642159,0.0000026253929,0.013738561,0.18757726,0.0003729956],"about_ca_topic_score_codex":0.00048093608,"about_ca_topic_score_gemma":0.00035896647,"teacher_disagreement_score":0.18629995,"about_ca_system_score_codex":0.00009283565,"about_ca_system_score_gemma":0.000039299422,"threshold_uncertainty_score":0.79141057},"labels":[],"label_agreement":null},{"id":"W260895532","doi":"","title":"Regional Differences in the Labour Market Response to Volunteers","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Presumption; Order (exchange); Labour economics; Demographic economics; Differential (mechanical device); Test (biology); Wage; Set (abstract data type); Business; Economics; Political science; Law; Finance","score_opus":0.04216086598083449,"score_gpt":0.2360427752995255,"score_spread":0.193881909318691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W260895532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95830804,0.00038215227,0.00021777062,0.03762239,0.0002989216,0.000072715855,0.000033101678,0.0000014759578,0.003063456],"genre_scores_gemma":[0.9948553,0.00007481823,0.00023662615,0.0037931951,0.00009834803,0.0000023752734,3.2702337e-7,0.0000048705524,0.00093417737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986309,0.0000797955,0.00047441307,0.00022013139,0.00017456125,0.00042021915],"domain_scores_gemma":[0.99871606,0.00020606503,0.0002236787,0.00022031597,0.00015861564,0.00047526535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065101963,0.00009757143,0.00021052438,0.0007491093,0.00022821072,0.00018731333,0.0011442465,0.000041277817,0.00025280318],"category_scores_gemma":[0.0009534111,0.00007743941,0.000075278906,0.0014719473,0.000376063,0.00031564475,0.00001832065,0.00020841158,0.000022967472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022866494,0.000029025316,0.6512288,0.0000033664833,0.000009031477,0.0002650234,0.001802379,0.000071020906,0.000026350961,0.33915365,0.006617571,0.0005650947],"study_design_scores_gemma":[0.00016594499,0.00007237159,0.81311435,0.00002436338,8.296327e-7,0.00016600658,0.00035328063,0.00020245332,3.26672e-7,0.03333196,0.1524595,0.00010864677],"about_ca_topic_score_codex":0.010115906,"about_ca_topic_score_gemma":0.023410292,"teacher_disagreement_score":0.3058217,"about_ca_system_score_codex":0.00035205885,"about_ca_system_score_gemma":0.0010001782,"threshold_uncertainty_score":0.9964758},"labels":[],"label_agreement":null},{"id":"W2610251795","doi":"10.1086/700186","title":"Job Tasks, Time Allocation, and Wages","year":2018,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Task (project management); Wage; Set (abstract data type); Human capital; Labour economics; Economics; Computer science; Management","score_opus":0.014166510047946123,"score_gpt":0.21798016626222155,"score_spread":0.20381365621427544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610251795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899966,0.0009431644,0.00041767253,0.002731773,0.00059508893,0.000059015543,0.0001672117,0.000008415587,0.00607797],"genre_scores_gemma":[0.9939847,0.0015747533,0.0021425996,0.00074074377,0.0006623672,0.0000010990568,0.0000035442683,0.000023659613,0.000866516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985946,0.000019381445,0.0009767199,0.00019573401,0.000021026059,0.00019255627],"domain_scores_gemma":[0.99844164,0.00007305218,0.0009324356,0.00023154261,0.00019344313,0.0001278999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013150444,0.00013033743,0.000432692,0.00018816689,0.000083587314,0.00012509259,0.0002367928,0.000094079754,0.00034646425],"category_scores_gemma":[0.00018776467,0.00013805492,0.00008295025,0.00011651914,0.00011652395,0.00041651767,0.00005608511,0.00013835376,0.00016961715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008854679,0.00009125943,0.13992201,0.000026055863,0.0002235438,0.000006800931,0.0005703304,0.000039776165,0.000117247684,0.85367006,0.0017358972,0.0035085003],"study_design_scores_gemma":[0.0016712347,0.0004955669,0.21528545,0.0000346402,0.00003231805,0.000098039425,0.000098115146,0.0039801993,0.00022685535,0.53008044,0.24742053,0.00057659374],"about_ca_topic_score_codex":0.00003569726,"about_ca_topic_score_gemma":0.00003032625,"teacher_disagreement_score":0.3235896,"about_ca_system_score_codex":0.00009933747,"about_ca_system_score_gemma":0.000054156102,"threshold_uncertainty_score":0.5629716},"labels":[],"label_agreement":null},{"id":"W2610656618","doi":"10.5465/ambpp.2016.16915abstract","title":"Investigating Job Search Clarity: A Motivational and Self-Regulatory Perspective","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"CLARITY; Perspective (graphical); Psychology; Job attitude; Job performance; Job satisfaction; Social psychology; Computer science; Artificial intelligence; Biology","score_opus":0.03175364614058672,"score_gpt":0.2504542932413137,"score_spread":0.21870064710072695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610656618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606661,0.00021153103,0.00024029506,0.008488139,0.00002562603,0.00023554188,0.00003063958,0.00005015737,0.030051962],"genre_scores_gemma":[0.99497634,0.00033849353,0.0032157537,0.0005399321,0.000059341517,0.00001774667,6.0879285e-7,0.000016797047,0.00083499774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99878174,0.0000062481295,0.00043706186,0.00043602308,0.00010322353,0.00023571456],"domain_scores_gemma":[0.9995113,0.00004941499,0.00025139883,0.000058073707,0.00006311574,0.00006671273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013323884,0.00012920162,0.00023590597,0.0002307068,0.00008930203,0.00004232414,0.00020722704,0.00010688184,0.00004432023],"category_scores_gemma":[0.00010696548,0.0001186678,0.000046123132,0.0002444982,0.000135018,0.0004708454,0.000244003,0.000140843,0.000013101991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036666142,0.000028832841,0.19651489,0.00011230748,0.000091640555,1.3809027e-7,0.00032392814,2.9892124e-7,0.000078384335,0.80184716,0.00021191876,0.00078681635],"study_design_scores_gemma":[0.00044442574,0.00001960981,0.5621463,0.00005166401,0.000008732924,7.380627e-7,0.0002066668,0.00022452309,0.00008333357,0.43420547,0.0024674574,0.00014105534],"about_ca_topic_score_codex":0.000029162356,"about_ca_topic_score_gemma":2.7070274e-7,"teacher_disagreement_score":0.36764172,"about_ca_system_score_codex":0.00013926951,"about_ca_system_score_gemma":0.0000059080985,"threshold_uncertainty_score":0.48391324},"labels":[],"label_agreement":null},{"id":"W2613429043","doi":"","title":"Unemployment Compensation Programs Effect on the Employment of Young Men: A Cross-National Comparison of Canadian, British and American Unemployment Policies","year":2002,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Receipt; Unemployment; Pooling; Compensation (psychology); Work (physics); Economics; Demographic economics; Labour economics; Income Support; Economic growth; Psychology","score_opus":0.04083449749237729,"score_gpt":0.27581598510799615,"score_spread":0.23498148761561888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613429043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97486305,0.0012795753,0.000038434653,0.0010031345,0.0008681415,0.0015509124,0.0032767176,0.000042944732,0.017077107],"genre_scores_gemma":[0.99805903,0.00042984175,0.00021581816,0.00018450484,0.00012252317,0.00027955876,0.00020301186,0.00006195605,0.00044372212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957783,0.00019726198,0.0022183876,0.00092409266,0.0002906401,0.00059131323],"domain_scores_gemma":[0.9957191,0.0005067707,0.002504878,0.000740247,0.00026046977,0.00026856427],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002155742,0.00054142706,0.0016187928,0.0008107432,0.00026084034,0.00030572005,0.0005815405,0.00027999142,0.00034537198],"category_scores_gemma":[0.00030524147,0.00058596395,0.0003628994,0.00046083986,0.0011016105,0.00010151609,0.0003208339,0.000595068,0.000027252465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029419081,0.00031446796,0.93275785,0.00016293673,0.00036578224,0.0000029110922,0.0006694278,0.00049079006,0.0000039501856,0.06318067,0.0008702798,0.0011515062],"study_design_scores_gemma":[0.001271148,0.00093897426,0.9704133,0.0004509464,0.00006954982,0.000017498473,0.00022563142,0.0081634,0.00014114717,0.0091074975,0.008128754,0.0010721297],"about_ca_topic_score_codex":0.21899322,"about_ca_topic_score_gemma":0.08215062,"teacher_disagreement_score":0.1368426,"about_ca_system_score_codex":0.0011113415,"about_ca_system_score_gemma":0.00026934568,"threshold_uncertainty_score":0.9996592},"labels":[],"label_agreement":null},{"id":"W2614079273","doi":"10.1787/953f3853-en","title":"The great divergence(s)","year":2017,"lang":"en","type":"paratext","venue":"OECD science, technology and industry policy papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage dispersion; Productivity; Wage; Dispersion (optics); Labour economics; Distribution (mathematics); Divergence (linguistics); Economics; Legislation; Globalization; Efficiency wage; Business; Market economy; Macroeconomics; Political science","score_opus":0.02781073304467591,"score_gpt":0.27781070322354345,"score_spread":0.24999997017886755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614079273","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06358798,0.0032312311,0.0000059960726,0.016978474,0.002715477,0.0002601771,0.00071582344,0.00006029712,0.91244453],"genre_scores_gemma":[0.56367266,0.006342188,0.000030110836,0.00048147954,0.00043594115,0.000049749277,0.000013488087,0.000027915075,0.42894647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727935,0.000019313507,0.000602356,0.0010122785,0.00011401669,0.00097267673],"domain_scores_gemma":[0.99731475,0.00006469668,0.0008355199,0.0015226264,0.00006573484,0.0001966664],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0015824399,0.00038437278,0.0005869053,0.0016557608,0.0035559891,0.0005527028,0.0025323143,0.0020355713,0.00096107647],"category_scores_gemma":[0.0006957571,0.00031119786,0.000106791646,0.0012033478,0.006421309,0.000279698,0.0009111307,0.0019416661,0.001819726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049372607,0.000015997226,0.011980942,0.000016832799,0.0000478732,0.000004840273,0.000039394286,0.000003555556,0.000023144972,0.9609971,0.017357875,0.009507526],"study_design_scores_gemma":[0.0001644668,0.00004101948,0.0031793136,0.00002486702,0.000006408964,0.000014284313,0.00006309623,0.000044019456,0.000034503486,0.083743595,0.91228086,0.00040354775],"about_ca_topic_score_codex":0.0004549282,"about_ca_topic_score_gemma":0.000043269025,"teacher_disagreement_score":0.89492303,"about_ca_system_score_codex":0.00022395642,"about_ca_system_score_gemma":0.00048528734,"threshold_uncertainty_score":0.9999522},"labels":[],"label_agreement":null},{"id":"W2616286076","doi":"10.1257/aer.p20171012","title":"Heterogeneous Scarring Effects of Full-Year Nonemployment","year":2017,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Social security; Demographic economics; Distribution (mathematics); Labour economics; Finance","score_opus":0.019769916920294662,"score_gpt":0.26409115602711863,"score_spread":0.24432123910682396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616286076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445522,0.03459055,0.00051567383,0.001013438,0.00087902346,0.00068131473,0.0001523185,0.00003302735,0.017582472],"genre_scores_gemma":[0.9317734,0.0669424,0.0005304648,0.00047528968,0.000076930315,0.000045877925,0.000005893461,0.000031051048,0.00011867228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832654,0.000030639734,0.0008936795,0.00044298873,0.000025645468,0.0002804788],"domain_scores_gemma":[0.996674,0.000072269984,0.001808534,0.0013209169,0.000017959817,0.00010632272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068449794,0.00019296355,0.0010723105,0.00006209316,0.00012351746,0.00006838442,0.0006404779,0.000030996467,0.00017055507],"category_scores_gemma":[0.00018866645,0.00021325739,0.0002813005,0.000039315677,0.00022084989,0.00016197341,0.00019008172,0.00008740852,0.00040915265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000679362,0.0003171409,0.37501508,0.00914915,0.0010195962,0.00004435544,0.00015022693,0.00014085647,0.00012840703,0.36133015,0.0011895999,0.2514475],"study_design_scores_gemma":[0.006186705,0.0025534574,0.4649294,0.010608687,0.0004999678,0.00013170921,0.00005859499,0.0047522285,0.0013207865,0.09992411,0.40304196,0.0059923925],"about_ca_topic_score_codex":0.0009895265,"about_ca_topic_score_gemma":0.0000610867,"teacher_disagreement_score":0.40185234,"about_ca_system_score_codex":0.0001487895,"about_ca_system_score_gemma":0.000024041312,"threshold_uncertainty_score":0.8696384},"labels":[],"label_agreement":null},{"id":"W2616430768","doi":"","title":"A typology of mismatches between skills and education using a comparative analysis between countries","year":2015,"lang":"en","type":"article","venue":"Revista de educación y derecho","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Norwegian; Novelty; Quarter (Canadian coin); Value (mathematics); Ideal (ethics); Psychology; Sociology; Social psychology; Political science; Mathematics; Geography; Statistics; Law","score_opus":0.0664162502932151,"score_gpt":0.32427744869180664,"score_spread":0.25786119839859156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616430768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896119,0.0031807427,0.004560551,0.0003593118,0.0000974827,0.00016724796,0.00038893247,0.000013124796,0.001620695],"genre_scores_gemma":[0.9958189,0.00013540532,0.0035830047,0.00007144118,0.00016484309,0.000007713237,0.00007182631,0.000011081419,0.00013577832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862015,0.00009900268,0.0006842776,0.0003208789,0.00004608732,0.00022961311],"domain_scores_gemma":[0.99857724,0.0002460798,0.00055312336,0.00030544554,0.00014664655,0.0001714549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011944125,0.0001586617,0.0009032225,0.00034904113,0.000058713813,0.00009069367,0.00015732826,0.00013022573,0.000048294463],"category_scores_gemma":[0.00019141586,0.00017650948,0.00010861168,0.00061388215,0.00012970126,0.00013948928,0.000052987612,0.00012276729,0.0000115858675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005113783,0.000072511946,0.91321456,0.00006133322,0.00041393726,2.4256425e-7,0.0014183226,0.000012621617,0.0000022090737,0.08421642,0.00011938184,0.00046336703],"study_design_scores_gemma":[0.00063073786,0.000104988314,0.81042427,0.000085894586,0.0008035023,0.0000051632082,0.0017079393,0.0006222997,0.00009999953,0.15975423,0.025126433,0.0006345163],"about_ca_topic_score_codex":0.0008878329,"about_ca_topic_score_gemma":0.000023683995,"teacher_disagreement_score":0.102790244,"about_ca_system_score_codex":0.00020485648,"about_ca_system_score_gemma":0.00027154238,"threshold_uncertainty_score":0.71978474},"labels":[],"label_agreement":null},{"id":"W2618156205","doi":"","title":"The Commute to Work and the Gender Wage Differential: International Analysis","year":2013,"lang":"en","type":"book-chapter","venue":"eSpace (Curtin University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Differential (mechanical device); Wage; Work (physics); Labour economics; Economics; Engineering; Mechanical engineering","score_opus":0.01926955212400902,"score_gpt":0.1837493226904517,"score_spread":0.16447977056644267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618156205","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0176117,0.00053940463,0.0072801593,0.015381761,0.00085518,0.0005324115,0.0004454917,0.000047409525,0.9573065],"genre_scores_gemma":[0.32483852,0.0011347173,0.00008452127,0.00021461371,0.00008820581,0.0000016574443,0.000037003116,0.000025929776,0.67357486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896497,0.000039308,0.0003077095,0.0004001896,0.00007428365,0.00021355314],"domain_scores_gemma":[0.99846727,0.00029815693,0.00044832024,0.0006093811,0.0000768889,0.00010000501],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047190863,0.00023395046,0.00046191228,0.0003983372,0.00032170015,0.000261641,0.0007391883,0.0001600072,0.00094252365],"category_scores_gemma":[0.000058420806,0.00018117353,0.00031259857,0.00023681828,0.00021181908,0.000084177605,0.0005564571,0.00033634933,0.00015737776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092244954,0.000007181873,0.002959543,0.000003147748,0.0012763645,0.0000050708113,0.00026676216,0.00002540523,6.620759e-8,0.9939248,0.0010321675,0.00040722344],"study_design_scores_gemma":[0.0005726281,0.000008959519,0.011617892,0.000009710778,0.00023029804,2.7591796e-7,0.00007475993,0.0005013738,1.2763314e-7,0.052039754,0.93463063,0.00031357264],"about_ca_topic_score_codex":0.00019675196,"about_ca_topic_score_gemma":0.00047124934,"teacher_disagreement_score":0.94188505,"about_ca_system_score_codex":0.00013772244,"about_ca_system_score_gemma":0.000011933031,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W2619001632","doi":"","title":"Growth and Long-Term Unemployment","year":2009,"lang":"fr","type":"article","venue":"Economie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01821100154328291,"score_gpt":0.2389873198979402,"score_spread":0.22077631835465727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619001632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9300858,0.026502477,0.0011423383,0.02290325,0.0027700171,0.00042700538,0.0003211121,0.000052057927,0.01579599],"genre_scores_gemma":[0.97280777,0.015934488,0.0007083012,0.001807489,0.0004968745,0.000009427728,0.000065814034,0.00004284218,0.008127019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99700713,0.0000596374,0.0012205676,0.0009880726,0.000046554902,0.0006780199],"domain_scores_gemma":[0.99836004,0.00012983015,0.0005889433,0.000598286,0.00004162199,0.00028129513],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009894758,0.0004079309,0.000780427,0.00024053267,0.00021502463,0.00037958173,0.00031950336,0.00034771304,0.0010845037],"category_scores_gemma":[0.00011970965,0.0005336046,0.00020878708,0.0001887172,0.00013436402,0.0007079127,0.00016593072,0.00032821656,0.0004502355],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059649345,0.0003675772,0.3638446,0.00012895149,0.0000729161,0.00003232449,0.00022799606,0.000027697994,0.000012937527,0.5561977,0.0008268691,0.07820075],"study_design_scores_gemma":[0.0014560391,0.00052754505,0.77356696,0.00018236371,0.00003109607,0.00002104325,0.00001307155,0.0033503866,0.00006156251,0.20023708,0.019720478,0.00083235133],"about_ca_topic_score_codex":0.00016386212,"about_ca_topic_score_gemma":0.00005749377,"teacher_disagreement_score":0.4097224,"about_ca_system_score_codex":0.00030223496,"about_ca_system_score_gemma":0.000039309445,"threshold_uncertainty_score":0.99982864},"labels":[],"label_agreement":null},{"id":"W2619481243","doi":"","title":"The Effect of U.S. Import Tariff Reductions on Expanded Wage Inequality","year":2010,"lang":"en","type":"article","venue":"Digital Commons @ Butler University (Butler University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inequality; Labour economics; Wage inequality; Tariff; Economic inequality; Wage; International trade; Mathematics","score_opus":0.011762301051633525,"score_gpt":0.18697541897475017,"score_spread":0.17521311792311664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619481243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82983446,0.00001540651,0.00024570644,0.0005217079,0.00052117713,0.00026017433,0.0012370079,0.000075740434,0.16728862],"genre_scores_gemma":[0.9905959,0.000039966377,0.000027377218,0.000017611033,0.00004456562,3.2677107e-7,0.0000999492,0.000021231073,0.009153094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847686,0.00009440138,0.00038068913,0.00051753916,0.00011536169,0.0004151311],"domain_scores_gemma":[0.99780744,0.0004761761,0.00042972926,0.0009813008,0.00010399968,0.00020135818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006527774,0.0002868228,0.000501937,0.00043052377,0.0006463332,0.00012516133,0.0009153583,0.00021869878,0.00014045925],"category_scores_gemma":[0.00021000918,0.00029010078,0.0003637331,0.00085833156,0.00046786826,0.000661747,0.00038030304,0.0006329005,0.00008882964],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005940092,0.0002545012,0.25788656,0.0000262392,0.00025371657,0.00007224773,0.00017309016,0.000030417712,0.000106032065,0.7379577,0.0007989874,0.0018464765],"study_design_scores_gemma":[0.004471302,0.00090627495,0.15829541,0.000041930165,0.00011352425,0.000013558586,0.0011836186,0.000389292,0.0008046908,0.017102797,0.81534904,0.001328539],"about_ca_topic_score_codex":0.0006022272,"about_ca_topic_score_gemma":0.0005690224,"teacher_disagreement_score":0.8145501,"about_ca_system_score_codex":0.00020442547,"about_ca_system_score_gemma":0.00005908898,"threshold_uncertainty_score":0.9999551},"labels":[],"label_agreement":null},{"id":"W2621292069","doi":"10.2139/ssrn.4477647","title":"The Spillover Effects of Top Income Inequality","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spillover effect; Inequality; Economic inequality; Economics; Income inequality metrics; Income distribution; Demographic economics; Labour economics; Mathematics; Macroeconomics","score_opus":0.009779361390955092,"score_gpt":0.22820645110512108,"score_spread":0.218427089714166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621292069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902389,0.003137474,0.002264184,0.000973998,0.0007497695,0.00012407883,0.000020849264,0.000029264505,0.0024614958],"genre_scores_gemma":[0.9887164,0.0093788775,0.000012069053,0.000057838737,0.00015236717,0.0000058842675,0.0000032511261,0.000019192377,0.0016541071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99757063,0.00007251005,0.0006891295,0.00019167163,0.00008155556,0.0013944779],"domain_scores_gemma":[0.9987308,0.0003382982,0.00048433224,0.00033295932,0.000055612534,0.000058032838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006441229,0.00012472138,0.00030256968,0.00013332609,0.0002280851,0.00006235743,0.0004098362,0.000075825956,0.000015169779],"category_scores_gemma":[0.00065726036,0.000098209784,0.00017784898,0.0005364592,0.0000614893,0.00013070635,0.00009256845,0.0008355464,0.000112690446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019938963,0.000021998685,0.07059513,0.000022506798,0.00010462559,0.000002353877,0.000059666378,0.000012398105,0.000019233828,0.9258928,0.000030596493,0.0032188122],"study_design_scores_gemma":[0.00044396168,0.00011897296,0.06960524,0.000010987555,0.0000056003782,0.000009516875,0.00007741327,0.00033499327,0.00003183179,0.92485,0.0043839235,0.00012755662],"about_ca_topic_score_codex":0.00019288828,"about_ca_topic_score_gemma":0.00019765711,"teacher_disagreement_score":0.0062414035,"about_ca_system_score_codex":0.00039189847,"about_ca_system_score_gemma":0.00024483146,"threshold_uncertainty_score":0.40048787},"labels":[],"label_agreement":null},{"id":"W2622709359","doi":"10.6000/1929-7092.2017.06.22","title":"Education and Skill Mismatches in Maptaphut Industrial Estate, Thailand","year":2017,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estate; Business; Real estate; Economics; Finance","score_opus":0.05992841562229582,"score_gpt":0.2878290536409213,"score_spread":0.2279006380186255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622709359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717131,0.0059967097,0.00003123377,0.001365377,0.0014087455,0.00019066868,0.00011364032,0.000002019735,0.019178476],"genre_scores_gemma":[0.92921835,0.069106564,0.0007380322,0.00041139987,0.00034876747,0.0000046083996,0.0000037120567,0.000011172452,0.0001573733],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982792,0.000036696758,0.0012760585,0.00021418124,0.000020286894,0.00017353466],"domain_scores_gemma":[0.9970531,0.000039113114,0.0023714656,0.00037995522,0.000034833298,0.00012157347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002080952,0.00015674706,0.00074400724,0.00010468652,0.000085338135,0.0002563911,0.0003681461,0.00012333324,0.000027933049],"category_scores_gemma":[0.00058622257,0.0001501913,0.00014609564,0.000046783105,0.0000544805,0.00045791166,0.000059528258,0.00021706398,0.000029656461],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009531225,0.00024843015,0.63483596,0.000061325016,0.000043163574,0.000006508184,0.00014461829,0.000036523856,3.0189992e-7,0.20134498,0.0010194001,0.1621635],"study_design_scores_gemma":[0.00192068,0.00020350418,0.25393042,0.00033663472,0.000016925582,0.000050148905,0.000079403784,0.0002879399,0.0000023248808,0.20863861,0.534145,0.00038840316],"about_ca_topic_score_codex":0.00026187635,"about_ca_topic_score_gemma":0.00024442386,"teacher_disagreement_score":0.5331256,"about_ca_system_score_codex":0.00027593528,"about_ca_system_score_gemma":0.00010226715,"threshold_uncertainty_score":0.61246234},"labels":[],"label_agreement":null},{"id":"W2625237316","doi":"10.1186/s40172-017-0057-0","title":"Industry shutdown rates and permanent layoffs: evidence from firm-worker matched data","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University; Carleton University; Statistics Canada; Bank of Canada","funders":"","keywords":"Shutdown; Earnings; Labour economics; Business; Shut down; Economics; Finance; Engineering","score_opus":0.09430514322625425,"score_gpt":0.3013583510278254,"score_spread":0.20705320780157113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625237316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847952,0.0059313066,0.00012902058,0.005211336,0.0011293849,0.000096069576,0.0018788292,0.000007634739,0.0008212311],"genre_scores_gemma":[0.98858875,0.008551098,0.0014789662,0.0004887644,0.00058030913,0.0000017689878,0.000026731072,0.00003387972,0.0002497229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789995,0.00003575778,0.0012599726,0.00046797647,0.000042940595,0.00029339123],"domain_scores_gemma":[0.9955838,0.00026782366,0.002307633,0.0015062365,0.00011253612,0.00022199407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019072229,0.00023178493,0.00074232003,0.00015174455,0.00024460215,0.00077605154,0.0016450601,0.0003871882,0.00029190682],"category_scores_gemma":[0.0008683676,0.00023947927,0.000092477094,0.000059499584,0.00015927826,0.0019276512,0.0006237137,0.000796353,0.000043673896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010958204,0.000074658696,0.97448796,0.000021983833,0.0002495912,0.000035783403,0.00031583337,0.00010382528,0.000022590923,0.021717513,0.0005526532,0.0023079999],"study_design_scores_gemma":[0.0013164618,0.00008825477,0.863396,0.00022661017,0.000057295278,0.000037365582,0.0001783104,0.006200013,0.000055818957,0.097326055,0.030579742,0.0005380507],"about_ca_topic_score_codex":0.0006995472,"about_ca_topic_score_gemma":0.00020896312,"teacher_disagreement_score":0.111091964,"about_ca_system_score_codex":0.00012901107,"about_ca_system_score_gemma":0.00012111178,"threshold_uncertainty_score":0.97656816},"labels":[],"label_agreement":null},{"id":"W2728560518","doi":"","title":"Does the Impact of In-House Training on Salary and Professional Development Vary Based on Gender?","year":2006,"lang":"en","type":"article","venue":"Economie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salary; Promotion (chess); Training (meteorology); Wage; Probit model; Probit; Demographic economics; Labour economics; Business; Econometrics; Economics; Political science; Geography","score_opus":0.02934319051285425,"score_gpt":0.25393514949896395,"score_spread":0.2245919589861097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728560518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99317765,0.00008853011,0.00010193793,0.00048209517,0.0003333786,0.00024668803,0.00007548686,0.000020912094,0.0054732924],"genre_scores_gemma":[0.99912256,0.000025891823,0.00032092395,0.00023172954,0.00006541589,0.000020816746,0.000021379668,0.000028373222,0.00016291125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985976,0.000045490557,0.0006995329,0.00037817005,0.000039417264,0.00023977866],"domain_scores_gemma":[0.9990272,0.00029177536,0.0003316686,0.00028856468,0.000014025434,0.00004678696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225035,0.00017783682,0.00035380112,0.00021430352,0.000106305095,0.000039724608,0.00015661771,0.00012702492,0.00015027676],"category_scores_gemma":[0.000052717536,0.000109260465,0.00009573777,0.00010262014,0.000043128024,0.00011644079,0.00005277179,0.00022846811,0.00002519157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004208488,0.00078991085,0.87685233,0.000061399325,0.000053285847,0.000009106378,0.001106357,0.012803796,0.000040925883,0.091308676,0.0004930849,0.016060278],"study_design_scores_gemma":[0.0007850792,0.00008919228,0.93272156,0.00004849794,0.0000013051615,4.1502705e-7,0.000029965046,0.024509847,0.000045997964,0.040475022,0.0011078065,0.00018530764],"about_ca_topic_score_codex":0.00021534703,"about_ca_topic_score_gemma":0.00006725086,"teacher_disagreement_score":0.055869233,"about_ca_system_score_codex":0.00020921625,"about_ca_system_score_gemma":0.00009716838,"threshold_uncertainty_score":0.44555125},"labels":[],"label_agreement":null},{"id":"W2730840950","doi":"","title":"Labour Market Modelling in the Czech Republic","year":2015,"lang":"en","type":"article","venue":"Digitalni Knihovna (Univerzita Pardubice)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Czech; Unemployment; Quarter (Canadian coin); Economics; Population; Labour economics; Wage; Regression analysis; Labour supply; Population ageing; Demographic economics; Economic growth; Sociology; Geography; Demography; Mathematics","score_opus":0.06797110856964567,"score_gpt":0.22505413074469574,"score_spread":0.15708302217505007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730840950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643574,0.0008101636,0.0067863134,0.0017567707,0.00033000085,0.00031283213,0.00035292152,0.00007572328,0.4252179],"genre_scores_gemma":[0.990628,0.00011284745,0.00044733356,0.0006526211,0.00011369592,0.000019324272,0.000067206915,0.00004363287,0.007915363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977303,0.000097549906,0.0007555065,0.00065224123,0.00016209418,0.0006023114],"domain_scores_gemma":[0.99818915,0.000175373,0.00036347634,0.00095301186,0.00012373745,0.0001952414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030932303,0.000280798,0.0004924038,0.00036722454,0.00011038335,0.00050163304,0.00086437573,0.00016976471,0.00023294664],"category_scores_gemma":[0.00033218975,0.00027047138,0.00016461038,0.0010954291,0.00008763242,0.001317468,0.00016612666,0.00034709385,0.00031493994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050351988,0.00020389895,0.020543177,0.000024713472,0.000044089542,0.00007595126,0.00129619,0.0011460397,4.1889498e-7,0.9731422,0.0023447836,0.0011282079],"study_design_scores_gemma":[0.0014211129,0.00009311603,0.0211769,0.000027841821,0.0000085471975,0.000024420671,0.0019833078,0.07421662,0.0000010349462,0.5831758,0.31713393,0.0007374169],"about_ca_topic_score_codex":0.0010153697,"about_ca_topic_score_gemma":0.00016670083,"teacher_disagreement_score":0.4262706,"about_ca_system_score_codex":0.00023143443,"about_ca_system_score_gemma":0.000082663515,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W2732327218","doi":"10.1093/oxfordhb/9780199655366.013.14","title":"Skill Under-utilization","year":2017,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"State (computer science); Economics; Economic system; Computer science","score_opus":0.06354881585098696,"score_gpt":0.22582858768225425,"score_spread":0.1622797718312673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732327218","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002896035,0.00022464419,0.0038707822,0.000038673952,0.00057121133,0.00028399043,0.0015020784,0.00008337781,0.99313563],"genre_scores_gemma":[0.005657816,0.00083570636,0.00011863781,0.00007900611,0.00014419228,9.2617773e-7,0.0002602996,0.000051840056,0.99285156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862635,0.000024049426,0.00035132872,0.0006232609,0.00006548316,0.00030953423],"domain_scores_gemma":[0.99782526,0.000047595622,0.00089675136,0.0010249946,0.00008138713,0.00012398885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031676042,0.00031187353,0.0005846887,0.00020584688,0.0003556642,0.0001584411,0.0008599949,0.0005308048,0.00008156441],"category_scores_gemma":[0.000033647186,0.0004260083,0.00024729737,0.000011106521,0.00015649827,0.00018099944,0.0003806228,0.00036585506,0.000010008029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022384475,0.000018689716,0.00012230533,0.000072471725,0.000110702545,0.000026180312,0.0000696837,0.000011336056,1.1206775e-7,0.99473125,0.0038635768,0.00095129287],"study_design_scores_gemma":[0.00042313177,0.000024085088,0.00032036752,0.00005208772,0.000031977113,0.0000012399178,0.000008294239,0.00022964808,0.0000015709206,0.11514949,0.8833321,0.00042606352],"about_ca_topic_score_codex":0.00019824902,"about_ca_topic_score_gemma":0.0000745775,"teacher_disagreement_score":0.87958175,"about_ca_system_score_codex":0.0004821992,"about_ca_system_score_gemma":0.00012637621,"threshold_uncertainty_score":0.99981916},"labels":[],"label_agreement":null},{"id":"W2733223054","doi":"10.1017/s1365100516001012","title":"DIMINISHING RETURNS AND LABOR MARKET ADJUSTMENTS","year":2017,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Rigidity (electromagnetism); Unemployment; Econometrics; Marginal product; Matching (statistics); Wage; Volatility (finance); Marginal product of labor; Productivity; Marginal utility; Labour economics; Microeconomics; Macroeconomics; Production (economics); Mathematics; Statistics","score_opus":0.019602112842582377,"score_gpt":0.2382248470877954,"score_spread":0.21862273424521303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733223054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9074453,0.00034846997,0.00031774654,0.0022212458,0.0010865476,0.00022378724,0.0017411931,0.00005294598,0.08656276],"genre_scores_gemma":[0.9918828,0.0004897336,0.00086244673,0.00052284996,0.00013320867,0.000023042918,0.00005068959,0.000054712025,0.005980505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805933,0.000020943264,0.0007213755,0.00069397717,0.00003093119,0.00047346865],"domain_scores_gemma":[0.9977407,0.00007074049,0.0008199856,0.0011606371,0.000029674744,0.00017827985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010389744,0.0002760852,0.00054867665,0.00011771649,0.00056844146,0.00081826624,0.00071003,0.00017185425,0.000584608],"category_scores_gemma":[0.00026335326,0.0003368609,0.00011080094,0.000036413607,0.00020236168,0.0006691219,0.0004654946,0.00024125457,0.00012974757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021459167,0.000032857257,0.5920666,0.000034263623,0.0000632079,0.000009779919,0.00010478118,0.0000060556977,0.0000013840028,0.40482098,0.00024322544,0.00259541],"study_design_scores_gemma":[0.0009614955,0.00003631156,0.721403,0.00002105075,0.0000129511545,0.000008552379,0.00010217798,0.077792056,0.0000028352413,0.19150682,0.007637209,0.00051556516],"about_ca_topic_score_codex":0.00053167547,"about_ca_topic_score_gemma":0.0007281808,"teacher_disagreement_score":0.21331418,"about_ca_system_score_codex":0.00029329988,"about_ca_system_score_gemma":0.00002437327,"threshold_uncertainty_score":0.9999083},"labels":[],"label_agreement":null},{"id":"W2735417267","doi":"10.20381/ruor-20414","title":"Impact of Education on Unemployment Evidence From Canada","year":2017,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Political science; Labour economics; Economics; Economic growth","score_opus":0.11157947861098547,"score_gpt":0.33431396930089796,"score_spread":0.2227344906899125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735417267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97503096,0.00006223306,0.00006002635,0.0012170011,0.00013151532,0.00011873668,0.0005432449,0.0000027917824,0.022833474],"genre_scores_gemma":[0.9979177,0.00018498041,0.00016968459,0.000007397586,0.000025019433,2.8462475e-7,0.000012986054,0.000005402432,0.0016765449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991993,0.000048280697,0.0001643747,0.00024561555,0.00014581117,0.00019661982],"domain_scores_gemma":[0.9984183,0.00019516503,0.00033119865,0.0007476021,0.0002032769,0.000104462335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095552794,0.00006592574,0.00022379594,0.00016226723,0.00027895285,0.000031458934,0.00075239135,0.000049590413,0.00052214117],"category_scores_gemma":[0.000554742,0.00008009218,0.00008630676,0.00011373737,0.0001514445,0.00023316244,0.00016772996,0.00015448057,0.000020314787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149018615,0.00011618291,0.92464775,0.000019426265,0.000052874115,0.000004320182,0.00012149854,0.000027639686,0.000048160968,0.0706292,0.0020569742,0.0022610412],"study_design_scores_gemma":[0.00019958503,0.0001272852,0.983771,0.000056690304,0.0000021908847,7.4863316e-8,0.000117866046,0.00052033854,0.000034874705,0.012127241,0.0029640226,0.00007877784],"about_ca_topic_score_codex":0.89725465,"about_ca_topic_score_gemma":0.46588466,"teacher_disagreement_score":0.43137002,"about_ca_system_score_codex":0.00054320676,"about_ca_system_score_gemma":0.00066283165,"threshold_uncertainty_score":0.57170796},"labels":[],"label_agreement":null},{"id":"W2739280914","doi":"10.1068/a46244","title":"Commentary","year":2013,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Philosophy; Psychology","score_opus":0.014030409027158207,"score_gpt":0.18235462468657362,"score_spread":0.1683242156594154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739280914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96519583,0.0026563604,0.00087934604,0.0076107695,0.00007093105,0.00014632956,0.000030135201,0.000015851874,0.023394465],"genre_scores_gemma":[0.99587375,0.00044877143,0.00069196866,0.0020216112,0.00006696455,0.000022369019,0.000017480821,0.000009445492,0.00084764],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933046,0.00001087372,0.00021279253,0.00026385524,0.00000977003,0.0001722403],"domain_scores_gemma":[0.9996232,0.000051602794,0.000096599266,0.00013177976,0.0000016549955,0.000095185846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023618172,0.00011399008,0.00019546837,0.000047303605,0.000110276735,0.000095561685,0.00005172082,0.000053077332,0.0005620602],"category_scores_gemma":[0.000006306232,0.00012449775,0.000023604449,0.000017842205,0.000059642112,0.00021373475,0.00006638656,0.000092327515,0.00012768782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059341123,0.000029992878,0.8817838,0.000020508334,0.000042752912,0.0000032620358,0.00065622566,0.000034373392,0.0000051475768,0.111739054,0.004330312,0.0013486593],"study_design_scores_gemma":[0.00070916757,0.00007713304,0.32853118,0.00001621205,0.0000070511296,0.000006138918,0.0004577198,0.0058639115,0.000009533406,0.18329325,0.48055694,0.00047176686],"about_ca_topic_score_codex":0.0002563068,"about_ca_topic_score_gemma":0.0000012212184,"teacher_disagreement_score":0.55325264,"about_ca_system_score_codex":0.000020681216,"about_ca_system_score_gemma":0.0000010728228,"threshold_uncertainty_score":0.6154165},"labels":[],"label_agreement":null},{"id":"W2746448426","doi":"10.3386/w23688","title":"The Employment and Output Effects of Short-Time Work in Germany","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"European Commission; World Bank Group","keywords":"Work (physics); Labour economics; Economics; Demographic economics; Engineering; Mechanical engineering","score_opus":0.18635142349732536,"score_gpt":0.4249204174189264,"score_spread":0.23856899392160102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746448426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92649156,0.004860972,0.000017034688,0.0017124116,0.0005768494,0.0009801376,0.00027585003,0.0000068929307,0.06507832],"genre_scores_gemma":[0.9956151,0.0020938676,0.0000980875,0.000010422075,0.00012783315,0.00010966945,0.000040548908,0.000023479839,0.0018809689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774116,0.00012432464,0.0010713737,0.0005476784,0.00017290548,0.0003425372],"domain_scores_gemma":[0.9967754,0.0016921867,0.00056740927,0.00067924504,0.00021444773,0.000071322655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007529283,0.00017928351,0.0006532783,0.00048935536,0.00015099955,0.0001570227,0.0008566318,0.00028315088,0.000028173741],"category_scores_gemma":[0.001140489,0.00017414127,0.00013990242,0.00007991027,0.0003935007,0.00009701,0.00096377876,0.0006540682,0.000040507744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116419156,0.00011096998,0.048605047,0.00027651357,0.00018129445,0.0000029259334,0.00017063995,0.00042462294,0.000010608531,0.94679993,0.0006817013,0.002619322],"study_design_scores_gemma":[0.00032842535,0.00003796943,0.11835301,0.00013432243,0.0000027948718,3.6494623e-7,0.000005273817,0.0032988312,0.00002710464,0.8763324,0.0013169987,0.00016249334],"about_ca_topic_score_codex":0.0011080526,"about_ca_topic_score_gemma":0.0001478589,"teacher_disagreement_score":0.070467524,"about_ca_system_score_codex":0.0005093969,"about_ca_system_score_gemma":0.0002389422,"threshold_uncertainty_score":0.7101275},"labels":[],"label_agreement":null},{"id":"W2747820143","doi":"10.1111/jems.12215","title":"Customer‐employee substitution: Evidence from gasoline stations","year":2017,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Productivity; Census; Service (business); Business; Full service; Work (physics); Customer service; Demographic economics; Operations management; Marketing; Agricultural economics; Economics; Engineering; Geography; Economic growth; Commerce; Population; Environmental health; Medicine","score_opus":0.08659884920714016,"score_gpt":0.28938001853278505,"score_spread":0.20278116932564488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747820143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621918,0.0007913442,0.00632114,0.0011510878,0.001324622,0.00016353582,0.00025380723,0.000011164411,0.027791481],"genre_scores_gemma":[0.9900549,0.006223106,0.0024487185,0.00014833563,0.00039208736,0.000005486487,0.0000133863305,0.000021682994,0.00069229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979451,0.000022654507,0.0013791877,0.0003287958,0.000043148837,0.00028116128],"domain_scores_gemma":[0.9964856,0.00009006754,0.0023823234,0.0007859901,0.00011005539,0.00014597356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012934325,0.00019833467,0.00053044833,0.00024121124,0.00034096005,0.00065821176,0.0009480731,0.00008155993,0.00049481075],"category_scores_gemma":[0.0001326791,0.00022145083,0.00022101168,0.00006169624,0.00011140006,0.0015517614,0.00015627046,0.00022691973,0.00021114881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081869344,0.00010229024,0.09423329,0.00003360401,0.00040655283,0.000059661957,0.00007409683,0.0058193565,0.000005225075,0.8963315,0.00047469034,0.0023778756],"study_design_scores_gemma":[0.0012311485,0.00010908405,0.4405368,0.000101827594,0.00007223197,0.000008098254,0.00010219566,0.003552934,0.000015619878,0.5385512,0.015315863,0.00040298898],"about_ca_topic_score_codex":0.00048297233,"about_ca_topic_score_gemma":0.00024068094,"teacher_disagreement_score":0.35778028,"about_ca_system_score_codex":0.0002264717,"about_ca_system_score_gemma":0.000051163337,"threshold_uncertainty_score":0.90305024},"labels":[],"label_agreement":null},{"id":"W2750077725","doi":"10.26756/th.2011.60","title":"Trois essais en economie du travail avec des donnees canadiennes sur les milieux de travail et les employes","year":2011,"lang":"fr","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.022733492262282905,"score_gpt":0.21149955858829353,"score_spread":0.18876606632601062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750077725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95663977,0.016655702,0.001187555,0.0004544346,0.0014403565,0.0005376324,0.0038073952,0.00011428186,0.019162877],"genre_scores_gemma":[0.9127814,0.035226904,0.0020030194,0.00025132817,0.00033095034,0.00015905152,0.0014279956,0.00022963459,0.0475897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99419916,0.0003989773,0.002353318,0.0015533355,0.00009066001,0.0014045713],"domain_scores_gemma":[0.99622345,0.0008276046,0.0012607272,0.0008577348,0.00034224777,0.00048822342],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031261402,0.0011440179,0.001897321,0.0006600475,0.0006508151,0.0004398124,0.0010943247,0.0014323847,0.0046958756],"category_scores_gemma":[0.00084679073,0.0013638417,0.0007936157,0.000345345,0.00043948911,0.0006811121,0.000100615245,0.00086938695,0.00015742981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018168565,0.000505906,0.6876149,0.0009770282,0.00070351624,0.00003963537,0.023556218,0.00014023505,0.000023863262,0.22659379,0.0005947486,0.059068438],"study_design_scores_gemma":[0.0011338451,0.00026100263,0.9441586,0.00024602504,0.00016933386,0.000023565774,0.007097449,0.002936201,0.00015428381,0.02462476,0.01723944,0.001955487],"about_ca_topic_score_codex":0.6422572,"about_ca_topic_score_gemma":0.9272095,"teacher_disagreement_score":0.2849523,"about_ca_system_score_codex":0.0007990199,"about_ca_system_score_gemma":0.00036359814,"threshold_uncertainty_score":0.999864},"labels":[],"label_agreement":null},{"id":"W2751732487","doi":"10.47678/cjhe.v47i2.187939","title":"Postgraduate Wage Premiums and the Gender Wage Gap in Canada","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Wage; Bachelor; Disadvantage; Labour economics; Economics; Demographic economics; Hourly wage; Gender gap; Educational attainment; Political science; Economic growth","score_opus":0.03736593570069639,"score_gpt":0.23732624125894045,"score_spread":0.19996030555824407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751732487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96966475,0.0047211475,0.000006759395,0.010303853,0.0021505558,0.00008873629,0.000053831754,5.7802396e-7,0.013009774],"genre_scores_gemma":[0.99703676,0.0001093663,0.000044493423,0.00084740814,0.00016102815,0.0000027799292,0.00000270092,0.000008999993,0.0017864894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992364,0.00002912421,0.0004074275,0.000108120104,0.000030092846,0.00018884476],"domain_scores_gemma":[0.9988764,0.00003677295,0.0005339806,0.0002791393,0.00006599052,0.0002077464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000703226,0.00007638102,0.00020190248,0.00011415534,0.00018428595,0.00017664518,0.00029410791,0.00003363996,0.00014782349],"category_scores_gemma":[0.00013206575,0.00006448643,0.00003508392,0.00004954813,0.000073166484,0.00020567433,0.00001171577,0.00016847694,0.0000031898999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011720173,0.000008080643,0.725017,0.00000899811,0.000022412782,0.000013015964,0.00041370682,0.0000083693,6.706242e-7,0.27062866,0.0030125794,0.0008547461],"study_design_scores_gemma":[0.00042246399,0.000004817476,0.8748996,0.000013724338,0.000004564864,0.000009387021,0.0000747615,0.000034661283,0.0000010069199,0.0909193,0.033533398,0.00008231075],"about_ca_topic_score_codex":0.9626061,"about_ca_topic_score_gemma":0.9707288,"teacher_disagreement_score":0.17970936,"about_ca_system_score_codex":0.0005611498,"about_ca_system_score_gemma":0.002256713,"threshold_uncertainty_score":0.40033123},"labels":[],"label_agreement":null},{"id":"W2755460220","doi":"10.1177/2397200917731559","title":"Women win through averages, men win through extremes","year":2017,"lang":"en","type":"article","venue":"Chinese Sociological Dialogue","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Scholarship; Gender gap; Sample (material); Distribution (mathematics); Standard deviation; Psychology; Demography; Demographic economics; Mathematics education; Political science; Mathematics; Sociology; Statistics; Economics; Physics","score_opus":0.07021546506136293,"score_gpt":0.28259002673519534,"score_spread":0.2123745616738324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755460220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.852164,0.0009184559,0.0014268187,0.0025404403,0.0008277031,0.00027151004,0.00069644564,0.000113050955,0.1410416],"genre_scores_gemma":[0.9942793,0.0011356442,0.0007808551,0.001269335,0.0007814232,0.000092829454,0.00016351817,0.000037043428,0.0014600208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973827,0.00011189609,0.00081095466,0.0008584461,0.00007822241,0.00075776165],"domain_scores_gemma":[0.9976955,0.00027966243,0.00065898837,0.001170902,0.00005150389,0.00014341682],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013251569,0.00040897372,0.0010040324,0.000036782123,0.000844686,0.00029062908,0.0011098958,0.00047579998,0.0011813326],"category_scores_gemma":[0.0021058167,0.00032430634,0.00030886199,0.00010543379,0.0005668425,0.000669936,0.0004903525,0.00048043134,0.0005167874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006267328,0.00025955198,0.3671032,0.00003614929,0.00014092072,0.00004204609,0.0039321585,0.000018973888,0.000042357813,0.62605876,0.0017343635,0.00056889444],"study_design_scores_gemma":[0.00063050934,0.000066347166,0.32348758,0.000005946084,0.0000030792478,0.0000013842705,0.00006988314,0.00020155516,0.0000020248358,0.66185266,0.013326852,0.0003521887],"about_ca_topic_score_codex":0.00083605567,"about_ca_topic_score_gemma":0.000034899756,"teacher_disagreement_score":0.14211535,"about_ca_system_score_codex":0.00023408404,"about_ca_system_score_gemma":0.000027790758,"threshold_uncertainty_score":0.9999209},"labels":[],"label_agreement":null},{"id":"W2756429528","doi":"10.1111/1748-8583.12167","title":"Workforce churning, human capital disruption, and organisational performance in different technological contexts","year":2017,"lang":"en","type":"article","venue":"Human Resource Management Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Churning; Workforce; Human capital; Productivity; Turnover; Labour economics; Business; Capital intensity; Capital (architecture); Industrial organization; Economics; Management; Market economy; Economic growth","score_opus":0.031327452801141624,"score_gpt":0.2543516071564242,"score_spread":0.22302415435528256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756429528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535666,0.00020777725,0.0003277259,0.00059060426,0.000074055904,0.00017195036,0.000010325735,0.0000265026,0.045024455],"genre_scores_gemma":[0.9966578,0.0001774997,0.00008579968,0.000080081714,0.00014306486,0.000013142977,0.000012783906,0.000020784411,0.0028090493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984589,0.00003169555,0.0006834123,0.00036614446,0.00010559677,0.00035422217],"domain_scores_gemma":[0.9987581,0.000017432212,0.00066710555,0.00043508838,0.000022346852,0.00009994878],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011521089,0.00020729387,0.0003413628,0.0002916648,0.0013445418,0.000676055,0.00054919947,0.00010184809,0.00036779692],"category_scores_gemma":[0.000047905163,0.00019397994,0.00007272842,0.000057465837,0.00023925149,0.00024329321,0.0003651433,0.00044280122,0.000022807475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008663206,0.000072971445,0.4791936,0.000021054628,0.000027448805,0.000027973183,0.00016466009,0.000014382166,0.0000062474924,0.51850736,0.000030397803,0.0019252324],"study_design_scores_gemma":[0.0010268149,0.00006067018,0.8509755,0.00006621016,0.00000647511,0.000016447177,0.00019427102,0.0001709026,0.0000021626647,0.14045523,0.006796049,0.00022922918],"about_ca_topic_score_codex":0.000012529241,"about_ca_topic_score_gemma":0.000022191096,"teacher_disagreement_score":0.37805215,"about_ca_system_score_codex":0.00016213661,"about_ca_system_score_gemma":0.0000027259691,"threshold_uncertainty_score":0.9999556},"labels":[],"label_agreement":null},{"id":"W2757032943","doi":"","title":"New Evidence on How Skills Influence Human Capital Acquisition and Early Labour Market Return to Human Capital between Canada and the United States","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Labour economics; Business; Capital (architecture); Economics; Monetary economics; Market economy; Geography","score_opus":0.02263394942320676,"score_gpt":0.2751835815615572,"score_spread":0.25254963213835047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757032943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079216,0.00027865346,0.000008225781,0.0044424525,0.00021823394,0.0010317679,0.0015301742,0.000021370706,0.0016769543],"genre_scores_gemma":[0.9921303,0.003925213,0.0000605671,0.00036687337,0.0003237874,0.000102938866,0.00008488421,0.000068553294,0.0029369139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616843,0.0003667504,0.0010345648,0.0013605176,0.00018979302,0.0008799375],"domain_scores_gemma":[0.9959286,0.0016877692,0.0005611979,0.0011851236,0.00017089344,0.00046640655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00449818,0.00047540423,0.0009751202,0.00067186146,0.00042027896,0.00077776663,0.00090004393,0.0003725795,0.000075076234],"category_scores_gemma":[0.0010811121,0.00042731978,0.0000988278,0.00023030228,0.0004291601,0.00029220874,0.0013158463,0.0012609357,0.0000036640938],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029087425,0.00005711751,0.87004983,0.00031760606,0.0002993667,0.000045138808,0.0027557672,0.00032093748,0.000030436808,0.12005283,0.00024648928,0.0055336216],"study_design_scores_gemma":[0.0011620008,0.00017312593,0.77224016,0.0005025831,0.000008587262,0.000002291249,0.00022373933,0.000082784165,0.00001597203,0.22323996,0.0017110568,0.0006377453],"about_ca_topic_score_codex":0.37812126,"about_ca_topic_score_gemma":0.1787168,"teacher_disagreement_score":0.19940445,"about_ca_system_score_codex":0.0013641277,"about_ca_system_score_gemma":0.00036785702,"threshold_uncertainty_score":0.99981785},"labels":[],"label_agreement":null},{"id":"W2757237588","doi":"10.1186/s40461-017-0060-5","title":"Employers and apprenticeships in England: costs, risks and policy reforms","year":2017,"lang":"en","type":"article","venue":"Empirical research in vocational education and training","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Apprenticeship; Business; Investment (military); Training (meteorology); Labour economics; Economics; Political science","score_opus":0.38962013112266713,"score_gpt":0.4884986133897308,"score_spread":0.09887848226706364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757237588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597729,0.0006913427,0.000027781145,0.015647803,0.0000859303,0.00015107087,0.000025250316,0.0000047098965,0.023593228],"genre_scores_gemma":[0.99813545,0.0008631027,0.0003461883,0.00024426257,0.0001344738,0.00005264741,0.000020933423,0.000008591069,0.00019438233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889106,0.00007219501,0.0003340702,0.00034841307,0.000084738385,0.00026951073],"domain_scores_gemma":[0.9991086,0.00035097642,0.00011248282,0.00020846652,0.000060579943,0.00015885683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034877283,0.00008175681,0.00017522242,0.0004829419,0.00028418965,0.00030363793,0.00014780206,0.00008243011,0.000014440967],"category_scores_gemma":[0.0025938805,0.00008311022,0.000012730416,0.00020571474,0.0002465229,0.00031332238,0.00010962648,0.00033804143,0.000004490946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016215783,0.00008153847,0.5344863,0.000025129748,0.000004385483,6.92889e-7,0.0031758389,4.9132694e-7,7.9301014e-7,0.3422147,0.000013377976,0.11998053],"study_design_scores_gemma":[0.0004292394,0.000018887333,0.7634974,0.000032258347,3.870632e-7,0.0000023859197,0.0006664541,0.0007346195,3.731307e-7,0.22865844,0.005882985,0.00007657605],"about_ca_topic_score_codex":0.003893153,"about_ca_topic_score_gemma":0.000990782,"teacher_disagreement_score":0.22901107,"about_ca_system_score_codex":0.00016620356,"about_ca_system_score_gemma":0.0002764946,"threshold_uncertainty_score":0.5885309},"labels":[],"label_agreement":null},{"id":"W2763964311","doi":"","title":"The Impact of Macro-economic Factors Such as Unemployment Rate, GDP Growth, and Exchange Rate on Post-Secondary Enrollment in Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Macro; Exchange rate; Unemployment rate; Real gross domestic product; Demographic economics; Labour economics; Development economics; Monetary economics; Economic growth","score_opus":0.01320980199494858,"score_gpt":0.2206655036168176,"score_spread":0.20745570162186902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763964311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896041,0.00028370085,0.000009163241,0.0012718673,0.00030301942,0.00028726022,0.0016181715,0.0000069663765,0.0066157123],"genre_scores_gemma":[0.9972848,0.0015286268,0.000003973144,0.00022215264,0.000021715116,0.00001952576,0.000012547105,0.000021778684,0.0008848501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983663,0.00007056573,0.00074234547,0.00039072486,0.00003417646,0.00039591274],"domain_scores_gemma":[0.99860483,0.0005514446,0.00033396855,0.00035640236,0.00002738899,0.0001259366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009240921,0.00023097762,0.00043356506,0.0001275385,0.00007757965,0.000051475436,0.00023188941,0.000060982038,0.00087201287],"category_scores_gemma":[0.00009055515,0.0001392208,0.00010041186,0.000091192764,0.000057857287,0.00014136647,0.00007520728,0.0001033892,0.00002293994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020894798,0.000060624083,0.91574305,0.00002691155,0.00013766176,0.0000074025193,0.00019078208,0.000029496241,0.00020829067,0.08104719,0.00041636833,0.001923255],"study_design_scores_gemma":[0.0013270614,0.00025967584,0.9751186,0.000016799784,0.0000024501126,9.087466e-7,0.00010581274,0.00019177159,0.0006382141,0.02120894,0.00082951045,0.0003002708],"about_ca_topic_score_codex":0.92566097,"about_ca_topic_score_gemma":0.776955,"teacher_disagreement_score":0.148706,"about_ca_system_score_codex":0.0011139273,"about_ca_system_score_gemma":0.0004152634,"threshold_uncertainty_score":0.9547929},"labels":[],"label_agreement":null},{"id":"W2765692954","doi":"10.1016/j.jmoneco.2018.05.005","title":"Structural transformation and the rise of information technology","year":2018,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Earnings; Index (typography); Economics; Service (business); Labour economics; Tertiary sector of the economy; Economy; Macroeconomics; Accounting","score_opus":0.010100489548827396,"score_gpt":0.1905763169914256,"score_spread":0.1804758274425982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765692954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993082,0.000690965,0.0022271983,0.002038362,0.00032528353,0.00008564313,0.000062873994,0.0000030729773,0.0014846247],"genre_scores_gemma":[0.99777913,0.0009354515,0.0010987289,0.000097414275,0.00007685079,6.952325e-7,0.0000024151725,0.000003765002,0.0000055431915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880046,0.000014501936,0.0010272157,0.00005242004,0.000016241476,0.000089186986],"domain_scores_gemma":[0.998574,0.00004182071,0.001139118,0.00013276696,0.00008396529,0.000028300432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010862089,0.00007073605,0.00031440592,0.00023883204,0.000054726173,0.000032353033,0.00017225397,0.00007239779,0.00002921877],"category_scores_gemma":[0.00007211332,0.000055517317,0.000075982105,0.0000929671,0.00024672764,0.0007773818,0.000023105978,0.00012242662,0.000006214603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032092346,0.000008838666,0.02612391,0.000024453477,0.0001033563,2.3532017e-7,0.0013536859,0.00042833659,0.0000033870147,0.9595774,0.00002117393,0.012034297],"study_design_scores_gemma":[0.0026162239,0.00020019095,0.033008777,0.00001127451,0.00002000915,0.00005124499,0.00029075064,0.06667886,0.00008767121,0.8912458,0.005662184,0.00012704197],"about_ca_topic_score_codex":0.000052441468,"about_ca_topic_score_gemma":0.000017602984,"teacher_disagreement_score":0.06833163,"about_ca_system_score_codex":0.000031907344,"about_ca_system_score_gemma":0.000016490976,"threshold_uncertainty_score":0.22639306},"labels":[],"label_agreement":null},{"id":"W2765735314","doi":"10.3386/w24274","title":"The \"End of Men\" and Rise of Women in the High-Skilled Labor Market","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Social Sciences and Humanities Research Council; University of British Columbia","funders":"","keywords":"Wage; Labour economics; Cognitive skill; Demographic economics; Economics; Supply and demand; Cognition; Psychology","score_opus":0.14625967336192364,"score_gpt":0.41887533590977594,"score_spread":0.2726156625478523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765735314","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43289796,0.0028111585,0.0000013017469,0.0012876198,0.00034045323,0.0006540578,0.0020655473,0.0000027324133,0.5599392],"genre_scores_gemma":[0.98444307,0.01040198,0.00004640436,0.00001275915,0.00023588266,0.00011026334,0.000070738046,0.000025844585,0.0046530794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99649554,0.0003180814,0.0017554653,0.0004662445,0.0004531963,0.0005114555],"domain_scores_gemma":[0.9939153,0.0032207642,0.0012310381,0.0005928145,0.00096854556,0.00007150144],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.044423643,0.00018478392,0.00086172106,0.0006491225,0.0001143656,0.00006131496,0.0008803331,0.0002819175,0.0007046673],"category_scores_gemma":[0.003961225,0.00014039742,0.00012627608,0.00035486635,0.00093199103,0.000105622785,0.0002519174,0.00047637502,0.000012055156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020070787,0.00013462098,0.028989974,0.00027601002,0.00026260153,0.0000012915028,0.00056298473,0.000013907155,0.0000036888412,0.9562099,0.012753477,0.0005908491],"study_design_scores_gemma":[0.0006703813,0.00013925064,0.076725684,0.00005525984,0.0000046473233,0.0000025827878,0.00031007346,0.00069264666,0.000010649927,0.8889053,0.03232648,0.0001570672],"about_ca_topic_score_codex":0.0064282906,"about_ca_topic_score_gemma":0.00057693897,"teacher_disagreement_score":0.5552861,"about_ca_system_score_codex":0.0013272592,"about_ca_system_score_gemma":0.0012166352,"threshold_uncertainty_score":0.98396695},"labels":[],"label_agreement":null},{"id":"W2766105125","doi":"10.1111/ecot.12137","title":"Decomposing the German East-West wage gap","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Economics; German; Differential (mechanical device); Quarter (Canadian coin); Distribution (mathematics); Labour economics; West germany; Demographic economics; Real wages; Geography","score_opus":0.08046562493524186,"score_gpt":0.32181945021920705,"score_spread":0.2413538252839652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766105125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75419074,0.0002975925,0.000022696673,0.0015271254,0.0004315435,0.00030200413,0.000080765916,0.000028878181,0.24311863],"genre_scores_gemma":[0.99639964,0.00092204346,0.00028815845,0.0003095027,0.00022507463,0.000057729783,0.000021793327,0.000050899114,0.0017251344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99740875,0.00016591563,0.00086858304,0.00064274616,0.000093796436,0.00082022377],"domain_scores_gemma":[0.99810153,0.00034415632,0.00023672586,0.0009621273,0.00008711728,0.00026832454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060360804,0.00021074213,0.00043747248,0.00032298797,0.00024091694,0.00027613415,0.00077324716,0.00015908586,0.00015919856],"category_scores_gemma":[0.00065757893,0.0002010996,0.00013190147,0.0003139047,0.0002717383,0.00027410258,0.00035362263,0.0006726417,0.00020845857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018959054,0.00042029773,0.1961174,0.000048614736,0.00013082712,0.000070335234,0.0034640918,0.0017985193,0.00004755646,0.7065114,0.0002601236,0.09094127],"study_design_scores_gemma":[0.0032718743,0.0002736144,0.109146304,0.00007761761,0.000007612,0.000045518842,0.0020367857,0.058658365,0.00004969598,0.47977722,0.3453323,0.0013230959],"about_ca_topic_score_codex":0.0003333574,"about_ca_topic_score_gemma":0.0005298728,"teacher_disagreement_score":0.34507215,"about_ca_system_score_codex":0.00072213006,"about_ca_system_score_gemma":0.00013996143,"threshold_uncertainty_score":0.8200604},"labels":[],"label_agreement":null},{"id":"W2766207750","doi":"10.5539/ies.v10n11p148","title":"Consolidating the University Career Service System in Taiwan","year":2017,"lang":"en","type":"article","venue":"International Education Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internship; Unemployment; Service (business); Job placement; Career counseling; Unemployment rate; Work (physics); Vocational education; Career planning; Career development; Hierarchy; Management; Higher education; Psychology; Medical education; Public relations; Business; Pedagogy; Marketing; Political science; Engineering; Economics; Medicine; Economic growth","score_opus":0.0890981032978242,"score_gpt":0.3099161915097034,"score_spread":0.2208180882118792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766207750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019644,0.0006380439,0.00014111739,0.019061657,0.004139747,0.000104094244,0.00011187735,0.000016239344,0.073822804],"genre_scores_gemma":[0.9976426,0.0000710264,0.00014290384,0.00031737913,0.000119948796,0.0000076819315,0.000008282439,0.000004530948,0.0016856509],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994701,0.00001604128,0.00022574194,0.00016744612,0.000036892518,0.00008377206],"domain_scores_gemma":[0.99892193,0.00004809264,0.00032609777,0.0002756438,0.00041169254,0.00001655521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004991318,0.00006256631,0.00012874557,0.000075490185,0.00032653488,0.000101713114,0.00044450304,0.000024197552,0.000027342221],"category_scores_gemma":[0.0005113521,0.000058525813,0.00002987041,0.00006043408,0.000055592816,0.00021413926,0.00015293632,0.00007407487,0.000068810616],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059824906,0.000030010557,0.30636206,0.000023737552,0.00007181497,0.000001216036,0.0016492349,0.000021180862,0.0000011103039,0.6906147,0.0004390581,0.00077986985],"study_design_scores_gemma":[0.0005313115,0.0000073611204,0.7405459,0.00014019564,0.000008973928,0.000004645967,0.03556586,0.0026874603,0.00000494285,0.038542934,0.18170719,0.00025321954],"about_ca_topic_score_codex":0.0018025934,"about_ca_topic_score_gemma":0.0009894931,"teacher_disagreement_score":0.6520718,"about_ca_system_score_codex":0.0003188687,"about_ca_system_score_gemma":0.00004729239,"threshold_uncertainty_score":0.27249938},"labels":[],"label_agreement":null},{"id":"W2766270962","doi":"10.3138/cpp.2017-068","title":"Literacy, Numeracy, Technology Skill, and Labour Market Outcomes among Indigenous Peoples in Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Numeracy; Indigenous; Earnings; Educational attainment; Literacy; Unemployment; Wage; Demographic economics; Labour economics; Economics; Economic growth","score_opus":0.005753573662447093,"score_gpt":0.1987941154445864,"score_spread":0.1930405417821393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766270962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779037,0.00048143277,0.0000034427367,0.008695992,0.00028367087,0.00027934593,0.001481921,0.000020842694,0.010849608],"genre_scores_gemma":[0.9938145,0.00018061713,0.000050443363,0.0026713642,0.00004769461,0.00002795783,0.000032001066,0.000033499677,0.0031419059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791074,0.000029634155,0.00058196665,0.0004753134,0.00004860624,0.0009537435],"domain_scores_gemma":[0.9985631,0.00010285152,0.00021401323,0.00053850963,0.000055855075,0.0005256777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047617225,0.00022483415,0.00052672497,0.0016903522,0.0001094734,0.00020289015,0.00043125293,0.00017632944,0.0007437904],"category_scores_gemma":[0.000592752,0.00026274458,0.000043664913,0.0011478974,0.00005919534,0.00040315132,0.000094846204,0.00027623304,0.00004636405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001010006,0.000008662659,0.76476616,0.000023528148,0.000020055531,0.000019706678,0.00025879714,9.521063e-7,1.03009015e-7,0.23262538,0.00015702931,0.002118647],"study_design_scores_gemma":[0.00036113083,0.000010294512,0.94118375,0.000009778802,9.2352263e-7,0.0000071686,0.000180977,0.00024278088,2.593463e-7,0.02405865,0.033642158,0.00030211685],"about_ca_topic_score_codex":0.9991455,"about_ca_topic_score_gemma":0.99968696,"teacher_disagreement_score":0.20856673,"about_ca_system_score_codex":0.0022780302,"about_ca_system_score_gemma":0.006672485,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W2769966633","doi":"10.1111/coep.12265","title":"REMOVING THE “VEIL OF IGNORANCE”: NONLINEARITIES IN EDUCATION EFFECTS ON GENDER WAGE INEQUALITIES","year":2017,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Earnings; Wage; Distribution (mathematics); Quantile; Quantile regression; Inequality; Labour economics; Demographic economics; Econometrics","score_opus":0.05665402797468274,"score_gpt":0.29052054521320814,"score_spread":0.2338665172385254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769966633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8527578,0.0015915914,0.000029310815,0.0024370088,0.0008945166,0.0003153355,0.00034374467,0.000017035945,0.14161365],"genre_scores_gemma":[0.9965561,0.00028619333,0.000048707116,0.0010380178,0.0006229666,0.000050107155,0.000025824978,0.000030625273,0.001341482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99831694,0.00007611868,0.0009190306,0.0003802083,0.00003088696,0.00027683238],"domain_scores_gemma":[0.99752194,0.00027602736,0.0009835442,0.0011311956,0.000023647846,0.00006366301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013286637,0.00021020709,0.0005565136,0.00031021153,0.00023026105,0.00018566893,0.0007044503,0.000113905226,0.000034847777],"category_scores_gemma":[0.00058029423,0.00020350108,0.00014132091,0.00005916486,0.00017341497,0.000519494,0.0001506387,0.00020751852,0.00006652481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004703902,0.00008492964,0.16226704,0.00012995013,0.000039458744,0.0000022036022,0.0010750506,0.00002882644,0.000010398043,0.8311994,0.0004968919,0.0046187844],"study_design_scores_gemma":[0.001533057,0.0000974538,0.5305882,0.00017505017,0.0000042711854,0.0000022562713,0.00067589467,0.0020892548,0.0002668885,0.4426416,0.02136845,0.00055764784],"about_ca_topic_score_codex":0.014674167,"about_ca_topic_score_gemma":0.00034062442,"teacher_disagreement_score":0.38855785,"about_ca_system_score_codex":0.00027880236,"about_ca_system_score_gemma":0.0004481996,"threshold_uncertainty_score":0.9918872},"labels":[],"label_agreement":null},{"id":"W2771651796","doi":"10.3386/w24069","title":"Wages and Employment: The Canonical Model Revisited","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Non canonical; Economics; Labour economics; Mathematical economics; Mathematics; Biology","score_opus":0.36396631437170546,"score_gpt":0.47179026217375064,"score_spread":0.10782394780204518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771651796","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30860618,0.008575079,0.00025984505,0.016490743,0.0005588205,0.0015280362,0.004257264,0.00003193811,0.6596921],"genre_scores_gemma":[0.99340576,0.0028117015,0.00025596947,0.00008130389,0.0002591529,0.00009183003,0.00018689637,0.000030733845,0.002876629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99765533,0.00010618045,0.0009392436,0.0007437317,0.00019227089,0.0003632371],"domain_scores_gemma":[0.9973349,0.00060530263,0.0006859822,0.00092917884,0.00034076005,0.00010389284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008219044,0.00020816318,0.0006199889,0.00036251682,0.0003387899,0.00035324512,0.0011420653,0.00034727697,0.00014897088],"category_scores_gemma":[0.0011549244,0.00019176162,0.00017325902,0.000055155626,0.0004899694,0.00014259765,0.0013892036,0.0009967729,0.00006112407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027599397,0.000037219223,0.0042893747,0.00008676284,0.00012173375,8.711975e-7,0.00008482599,0.0025335134,0.0000029247722,0.9906204,0.0018810934,0.00031371668],"study_design_scores_gemma":[0.000256457,0.0000184313,0.0035259111,0.000045345612,0.0000044142253,0.0000011974342,0.00000673923,0.10227428,0.0000049527453,0.89147145,0.0022177317,0.0001730914],"about_ca_topic_score_codex":0.0019910738,"about_ca_topic_score_gemma":0.0001967067,"teacher_disagreement_score":0.6847996,"about_ca_system_score_codex":0.000525574,"about_ca_system_score_gemma":0.0005125885,"threshold_uncertainty_score":0.7819812},"labels":[],"label_agreement":null},{"id":"W2774857474","doi":"10.1007/s13209-017-0169-6","title":"Introduction to the special issue on the Survey of Adult Skills (PIAAC)","year":2017,"lang":"en","type":"article","venue":"SERIEs","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Numeracy; Slovak; Czech; Literacy; Geography; Quarter (Canadian coin); Economic growth; Political science; Economics","score_opus":0.01944640924563993,"score_gpt":0.23330142496527462,"score_spread":0.2138550157196347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774857474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88708776,0.000022384249,0.00005076975,0.083518505,0.0029077313,0.00021175947,0.00064524997,0.000008378963,0.025547452],"genre_scores_gemma":[0.99003065,0.000104503975,0.00003401686,0.00044504617,0.0051594567,0.00001014571,0.000011874448,0.000010013753,0.0041942694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993064,0.00004188219,0.0002829225,0.00020093773,0.000037542068,0.00013035999],"domain_scores_gemma":[0.99861765,0.000082504834,0.00028820886,0.00089025724,0.00009844242,0.000022948348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012329234,0.00008293079,0.00018584587,0.00002990307,0.00030818325,0.00014067303,0.00044172668,0.000038592974,0.000630559],"category_scores_gemma":[0.002268407,0.000054060427,0.000044121334,0.00008183179,0.00010746402,0.00013439285,0.00009317969,0.00009066226,0.00030364792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011228124,0.00006278294,0.06711333,0.000010128734,0.000037650905,4.5681284e-7,0.0010885729,0.000033812434,0.000004274739,0.8894688,0.038161546,0.003906356],"study_design_scores_gemma":[0.00007671315,0.000064118,0.7096151,0.0000044863473,0.0000015372249,3.4333132e-7,0.000081452374,0.000024119761,0.00015826899,0.026709935,0.26317382,0.00009011974],"about_ca_topic_score_codex":0.0020765082,"about_ca_topic_score_gemma":0.0038345843,"teacher_disagreement_score":0.8627589,"about_ca_system_score_codex":0.000022906095,"about_ca_system_score_gemma":0.000009460048,"threshold_uncertainty_score":0.6904178},"labels":[],"label_agreement":null},{"id":"W2776700836","doi":"10.1111/irel.12202","title":"Matching and Inverse Propensity Weighting Estimates of the Union Wage Premium: Evidence from Canada, 1997–2014","year":2017,"lang":"en","type":"article","venue":"Industrial Relations A Journal of Economy and Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Propensity score matching; Matching (statistics); Estimator; Economics; Covariate; Weighting; Econometrics; Wage; Counterfactual conditional; Survey data collection; Labour economics; Statistics; Mathematics; Counterfactual thinking; Psychology","score_opus":0.06253178576197047,"score_gpt":0.23460801173064566,"score_spread":0.1720762259686752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776700836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995772,0.00041430042,0.00048427985,0.002007935,0.00036114614,0.000108166554,0.00012388466,0.0000015231457,0.0007267589],"genre_scores_gemma":[0.9985592,0.000271411,0.000911558,0.000055407258,0.0001458189,8.7813515e-7,0.0000016999044,0.0000055615224,0.000048469414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990188,0.0000421793,0.0006507681,0.00014399852,0.000036200552,0.00010807314],"domain_scores_gemma":[0.9975733,0.00037363777,0.0016740892,0.00023757314,0.00007290955,0.00006849087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016538997,0.00009223465,0.00032145748,0.000020201087,0.0005489533,0.00015094034,0.0002281941,0.00013009268,0.00003113275],"category_scores_gemma":[0.00059413695,0.00007618467,0.00010251283,0.000035801182,0.00013280763,0.0006298535,0.00014204909,0.00038000895,4.3812332e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015595184,0.000015064654,0.9780869,0.000011546047,0.0001324487,0.0000013223344,0.0011274262,0.00015058008,0.00002189051,0.018990373,0.0006046349,0.0008422311],"study_design_scores_gemma":[0.0016387413,0.000052953124,0.7754123,0.00048298482,0.00008950554,0.000012100706,0.00063800934,0.0068031778,0.00013386595,0.21043727,0.0040046605,0.00029441054],"about_ca_topic_score_codex":0.118200615,"about_ca_topic_score_gemma":0.017561013,"teacher_disagreement_score":0.20267457,"about_ca_system_score_codex":0.00011791044,"about_ca_system_score_gemma":0.00023687471,"threshold_uncertainty_score":0.9799458},"labels":[],"label_agreement":null},{"id":"W2778169424","doi":"10.1016/j.jet.2017.12.004","title":"Large firms and within firm occupational reallocation","year":2017,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Labour economics; Sample (material); Economics; Labor mobility; Capital call; Business; Microeconomics; Human capital; Market economy","score_opus":0.02907014175987781,"score_gpt":0.2688249431106023,"score_spread":0.23975480135072447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778169424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877256,0.00055502506,0.0023038078,0.0005842399,0.0009971499,0.000053558364,0.00015013742,0.0000041616167,0.0076262807],"genre_scores_gemma":[0.9983396,0.00021459785,0.00041309968,0.00014724408,0.0002888941,0.0000013577926,0.0000042778174,0.000012249712,0.0005787111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988994,0.000027202412,0.0007631503,0.00015578774,0.00002064901,0.00013380079],"domain_scores_gemma":[0.9976115,0.00010542918,0.0018363831,0.0003267213,0.00004001303,0.0000799522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036390093,0.00009479056,0.0003057437,0.0001089917,0.00021807762,0.00017661051,0.00030079807,0.00007310561,0.00027268683],"category_scores_gemma":[0.00032189587,0.00009573205,0.00009046361,0.000011428217,0.000072623836,0.0005482854,0.00007130455,0.00014448629,0.00004690525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075274846,0.000028672108,0.13518748,0.000008608559,0.000053841653,0.000002893788,0.00024688666,0.000040512463,0.0000041438716,0.8637741,0.00013388757,0.00044365483],"study_design_scores_gemma":[0.00065575266,0.000038791426,0.2690925,0.000013733878,0.000006390232,0.000017777716,0.00006576504,0.0013807717,0.000008037628,0.7254626,0.0031479297,0.00010989679],"about_ca_topic_score_codex":0.000035394118,"about_ca_topic_score_gemma":0.00004746179,"teacher_disagreement_score":0.1383115,"about_ca_system_score_codex":0.00010980008,"about_ca_system_score_gemma":0.00005421199,"threshold_uncertainty_score":0.390384},"labels":[],"label_agreement":null},{"id":"W2782313790","doi":"10.1080/13504851.2017.1420881","title":"Complementarities between firm-sponsored training and information technology use","year":2018,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Productivity; Stock (firearms); Construct (python library); Training (meteorology); Economics; Longitudinal data; Business; Information technology; Panel data; Labour economics; Industrial organization; Econometrics; Macroeconomics; Economic growth","score_opus":0.03737901678880598,"score_gpt":0.21175929248882797,"score_spread":0.17438027570002199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782313790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877032,0.000016210826,0.00445365,0.003559958,0.00018201211,0.00021233718,0.00045763885,0.00006754622,0.0033474532],"genre_scores_gemma":[0.9909391,0.000052898977,0.0045539574,0.0041181487,0.0001404509,0.0000294012,0.00013372673,0.000018831575,0.000013479783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866235,0.0000066601365,0.0006845756,0.00029576776,0.000015183324,0.000335465],"domain_scores_gemma":[0.99919033,0.00009684373,0.00033340443,0.0002970171,0.000016026625,0.00006636155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049308763,0.00017029973,0.00037993348,0.00035610987,0.00018259467,0.00021858022,0.00019820414,0.00011073174,0.000087117565],"category_scores_gemma":[0.00003404562,0.00022401176,0.000039640676,0.00013183682,0.00025846565,0.0008261024,0.00012372616,0.00013755859,0.00013930666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017219689,0.000006697224,0.09701902,0.000010872967,0.00007257312,1.9640692e-7,0.0011251251,0.000016047818,0.00002566807,0.897389,0.00019736183,0.0041202405],"study_design_scores_gemma":[0.0025467093,0.00011998986,0.3196685,0.000014178857,0.000026892523,0.0000068165637,0.0013939551,0.0018210269,0.00021085527,0.3224377,0.35052103,0.0012323561],"about_ca_topic_score_codex":0.00020097106,"about_ca_topic_score_gemma":0.000062385465,"teacher_disagreement_score":0.5749513,"about_ca_system_score_codex":0.000113494934,"about_ca_system_score_gemma":0.000011047159,"threshold_uncertainty_score":0.91349345},"labels":[],"label_agreement":null},{"id":"W2784427121","doi":"","title":"Effects of Minimum Wage on Youth Employment and School Enrolment in Canada","year":2017,"lang":"en","type":"dissertation","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Multinomial logistic regression; Wage; Minimum wage; Demographic economics; Economics; Labour economics; Demography; Sociology; Census; Statistics; Mathematics","score_opus":0.026951752357177807,"score_gpt":0.22829557463046624,"score_spread":0.20134382227328843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784427121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766001,0.0007451085,0.000008942724,0.00024020406,0.00056424487,0.0009156293,0.0010512642,0.0000055393884,0.019868948],"genre_scores_gemma":[0.9915971,0.0007047077,0.00015074878,0.000117519325,0.00002121765,0.0000030360432,0.00035934628,0.00003695583,0.0070093735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978924,0.0001374376,0.00062248914,0.00078375597,0.0001917829,0.00037214984],"domain_scores_gemma":[0.9971517,0.00017960255,0.0015676968,0.00077998254,0.00010410627,0.0002169119],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014899867,0.00035902474,0.0012007646,0.00036134347,0.00022868149,0.0001333472,0.0014368296,0.0003118489,0.0001597418],"category_scores_gemma":[0.00034196052,0.0004906708,0.00014260977,0.00016700999,0.00006822697,0.0005389162,0.0002645309,0.0007460491,0.000021523922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046094423,0.001640433,0.87747854,0.0056174537,0.0016544529,0.00085185136,0.0101612555,0.00007491418,0.0010304349,0.07015574,0.0015868209,0.025138682],"study_design_scores_gemma":[0.0029564933,0.00018872545,0.9876076,0.00104035,0.000079214056,6.085155e-7,0.001841562,0.00004678673,0.0005473148,0.0028255363,0.0021706682,0.0006951428],"about_ca_topic_score_codex":0.81312674,"about_ca_topic_score_gemma":0.6583333,"teacher_disagreement_score":0.1547934,"about_ca_system_score_codex":0.0007612284,"about_ca_system_score_gemma":0.0006792349,"threshold_uncertainty_score":0.9997545},"labels":[],"label_agreement":null},{"id":"W2785182746","doi":"","title":"The Access Program for Women in Science and Engineering (ACCESS W.I.S.E.)","year":2006,"lang":"en","type":"article","venue":"Women in Engineering ProActive Network","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Science and engineering; Women in science; Engineering; Engineering management; Library science; Engineering physics; Engineering ethics; Telecommunications; Computer science; Sociology; Gender studies","score_opus":0.013877325322067285,"score_gpt":0.23755830667647929,"score_spread":0.223680981354412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785182746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326813,0.0004905266,0.0024154887,0.0001091509,0.00051167526,0.0010678988,0.000023942397,0.00007627696,0.002036926],"genre_scores_gemma":[0.99671954,0.00007448018,0.00069837394,0.00001779286,0.00019098271,0.0021584185,0.0000028260174,0.00003338903,0.00010422105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99770147,0.000008853564,0.00049796153,0.00045928222,0.000070578644,0.0012618435],"domain_scores_gemma":[0.9992204,0.00025235358,0.00013039392,0.00023971303,0.000050373506,0.000106822416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040793335,0.00019147425,0.00033976964,0.00026716164,0.00012842476,0.0005513943,0.0005518336,0.00007102155,0.0000032865003],"category_scores_gemma":[0.00036340152,0.00018850151,0.000027146436,0.0013733305,0.000077981684,0.00060340675,0.00021590172,0.0002289077,7.0703123e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012459017,0.00022097272,0.23564193,0.000288608,0.000063228086,0.000005904037,0.001167193,0.4247494,0.000021468766,0.32996178,0.000042974876,0.0077119395],"study_design_scores_gemma":[0.0007190989,0.000069104935,0.53275794,0.000040951116,0.0000011065048,0.0000010275819,0.000051647457,0.38076878,0.000011083654,0.07095722,0.0142097995,0.00041220154],"about_ca_topic_score_codex":0.00012593468,"about_ca_topic_score_gemma":0.000045427943,"teacher_disagreement_score":0.29711604,"about_ca_system_score_codex":0.0012593311,"about_ca_system_score_gemma":0.00005113794,"threshold_uncertainty_score":0.76868683},"labels":[],"label_agreement":null},{"id":"W2788182113","doi":"10.6000/1929-7092.2018.07.01","title":"Minimum Wage and Unemployment: An Empirical Study on OECD Countries","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Wage; Labour economics; Minimum wage; Efficiency wage; Demographic economics; Macroeconomics","score_opus":0.06233853145301137,"score_gpt":0.3299152935521138,"score_spread":0.2675767620991024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788182113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98900086,0.0028518597,0.00007004056,0.00097183604,0.0008945037,0.0003406935,0.00022611729,0.000007902982,0.005636169],"genre_scores_gemma":[0.98853964,0.007693102,0.00028899862,0.002861212,0.00052328716,0.000004509419,0.0000029235991,0.000019476081,0.000066883375],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748653,0.000109664295,0.0016991631,0.0003839606,0.000049004524,0.00027166307],"domain_scores_gemma":[0.9976898,0.0000758994,0.001473037,0.0004495297,0.000077638644,0.00023409908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002880045,0.00025855371,0.0010359902,0.00012442992,0.00011528715,0.00018707,0.00035893568,0.00010261762,0.00014246687],"category_scores_gemma":[0.00015426335,0.00022966732,0.00018647908,0.000095475654,0.000112805144,0.0003265903,0.00006490716,0.00020083628,0.00030705315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006438667,0.0015843499,0.7389992,0.00005722794,0.0002614902,0.000030795272,0.0008134653,0.00003354508,5.796794e-7,0.23910636,0.0027098132,0.01575932],"study_design_scores_gemma":[0.0023662343,0.0069953967,0.16882728,0.000094611234,0.00005362185,0.00004114098,0.000182672,0.0006233538,0.0000045386014,0.070997186,0.7492268,0.00058714097],"about_ca_topic_score_codex":0.00002701913,"about_ca_topic_score_gemma":0.000087219,"teacher_disagreement_score":0.746517,"about_ca_system_score_codex":0.00033552377,"about_ca_system_score_gemma":0.000045664325,"threshold_uncertainty_score":0.93655616},"labels":[],"label_agreement":null},{"id":"W2790681458","doi":"10.3386/w24364","title":"Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"George Mason University; Ewing Marion Kauffman Foundation","keywords":"Recession; Business cycle; Identification (biology); Quarter (Canadian coin); Business; Computer science; Economics; Macroeconomics; Geography","score_opus":0.3510102660660565,"score_gpt":0.4915868708158107,"score_spread":0.1405766047497542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790681458","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3153974,0.0012651097,0.056196015,0.0010867891,0.0020052926,0.007522904,0.060017645,0.000094817944,0.556414],"genre_scores_gemma":[0.98190784,0.00070880004,0.0007473437,0.0000108710165,0.0005771612,0.00074416085,0.008814266,0.000055758945,0.006433818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960513,0.00007562368,0.0023343305,0.00075758493,0.0004388429,0.0003422953],"domain_scores_gemma":[0.9907837,0.0005502657,0.0021391297,0.0008539454,0.005569374,0.000103580045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01093048,0.00022001016,0.0009955977,0.0025816937,0.00018739451,0.00013302581,0.0007812903,0.0004231627,0.0006160046],"category_scores_gemma":[0.000971298,0.00027158784,0.00040959087,0.0013418583,0.00028457784,0.0005767976,0.00011245878,0.00024152295,0.000075695636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058179,0.00020772833,0.0141356485,0.00050876226,0.0011284681,1.2726251e-7,0.00013625185,0.0011653773,0.000016167493,0.98021775,0.0020917337,0.0003337818],"study_design_scores_gemma":[0.0006330006,0.00011293124,0.10440319,0.00004184858,0.00021494094,0.0000011887918,0.00008947221,0.023951616,0.00007777647,0.79676604,0.07314337,0.00056459673],"about_ca_topic_score_codex":0.0049824337,"about_ca_topic_score_gemma":0.0012438418,"teacher_disagreement_score":0.6665104,"about_ca_system_score_codex":0.0014284452,"about_ca_system_score_gemma":0.0008945415,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W2793432492","doi":"","title":"Three Essays on Personnel Economics","year":2012,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Neoclassical economics","score_opus":0.03876261415924637,"score_gpt":0.27271358399517726,"score_spread":0.2339509698359309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793432492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6257798,0.0013713615,0.0001628402,0.00023360075,0.0024398281,0.00021547505,0.00024967064,0.000053911186,0.36949354],"genre_scores_gemma":[0.96277523,0.00058938086,0.0002441121,0.00022205888,0.00069194764,0.000051758274,0.00094301277,0.00013468064,0.034347832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982424,0.00001215409,0.0005920624,0.0006229935,0.000041298466,0.0004890965],"domain_scores_gemma":[0.9982926,0.000077281584,0.00072563253,0.0007099363,0.00004150385,0.00015299748],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066846993,0.00039899914,0.0007054654,0.00024554852,0.00014637953,0.0001107597,0.00037952155,0.0004916765,0.001672373],"category_scores_gemma":[0.00009685729,0.00047659458,0.00026629376,0.00013233643,0.000023685114,0.00012601842,0.000032369862,0.00046417277,0.0018205445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082961385,0.00012769413,0.005133719,0.000117393116,0.00011419198,0.0000024790493,0.0031279097,0.000022528016,0.0000036052506,0.9889974,0.00070224836,0.0015678796],"study_design_scores_gemma":[0.0017680378,0.0002531488,0.13556278,0.00020074999,0.00010455261,0.0000045123006,0.004771846,0.003372783,0.00007650603,0.71057194,0.13988687,0.0034263101],"about_ca_topic_score_codex":0.001205256,"about_ca_topic_score_gemma":0.0019600224,"teacher_disagreement_score":0.33699542,"about_ca_system_score_codex":0.00025338135,"about_ca_system_score_gemma":0.000042155567,"threshold_uncertainty_score":0.99976856},"labels":[],"label_agreement":null},{"id":"W2796682365","doi":"","title":"Summary Of: The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers' Earnings in Canada","year":2006,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economics; Unemployment; Inequality; Labour economics; Earnings growth; Demographic economics; Economic inequality; Short run; Monetary economics; Macroeconomics","score_opus":0.053789190333744144,"score_gpt":0.3210746183858666,"score_spread":0.26728542805212246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796682365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925166,0.001040162,0.0000016389516,0.0023122488,0.000037145866,0.00026514704,0.0005545942,0.000002053996,0.003270435],"genre_scores_gemma":[0.9992694,0.0005090243,0.000003440984,0.000035886653,0.00001568231,0.000019196386,0.000005262044,0.000007782704,0.0001342809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809855,0.0002607156,0.00089112984,0.00027997178,0.00013585092,0.00033379963],"domain_scores_gemma":[0.99731517,0.0017225167,0.0002635353,0.00046311863,0.00019287961,0.000042766413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026896114,0.00013360128,0.0006082046,0.0000916771,0.00015526259,0.000016513639,0.00028650014,0.000049018552,0.00012782062],"category_scores_gemma":[0.0015330957,0.000084922576,0.000140594,0.0006017477,0.0011799107,0.00012768622,0.00027668354,0.00033987933,9.537986e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088245055,0.00007926759,0.88982505,0.000092344395,0.0001375732,8.5716533e-7,0.00014083802,0.00018673383,0.00001593646,0.10905552,0.0003233272,0.000054294753],"study_design_scores_gemma":[0.00021488608,0.00007510371,0.9370742,0.000048992322,0.00000395287,2.60135e-7,0.00049595715,0.00014199932,0.00004026861,0.061696813,0.00012819457,0.00007937868],"about_ca_topic_score_codex":0.71141404,"about_ca_topic_score_gemma":0.74259627,"teacher_disagreement_score":0.047358707,"about_ca_system_score_codex":0.00040251733,"about_ca_system_score_gemma":0.00030289064,"threshold_uncertainty_score":0.43474302},"labels":[],"label_agreement":null},{"id":"W2797066285","doi":"10.5465/ambpp.2016.14124symposium","title":"\"Job Insecurity, Employability, and Turnover in the Face of Different Labor Market Conditions\"","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Employability; Context (archaeology); Face (sociological concept); Human capital; Recession; Labor market segmentation; Labour economics; Political science; Sociology; Management; Economics; Economic growth; Social science; Wage","score_opus":0.02203553276020466,"score_gpt":0.24561577908217416,"score_spread":0.2235802463219695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797066285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98390067,0.0002051376,0.00003521069,0.0049971235,0.000033004082,0.0003934399,0.00021346672,0.0000106860625,0.010211237],"genre_scores_gemma":[0.99817395,0.0009274115,0.000050562612,0.00032205848,0.000017103157,0.0000393943,0.0000013745858,0.00001038797,0.00045773882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987044,0.000014741845,0.0006615769,0.00032443114,0.000092475675,0.00020237632],"domain_scores_gemma":[0.999349,0.00012336636,0.00036694307,0.0001044599,0.000023791323,0.000032437787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013686281,0.00013906854,0.00032770858,0.00018750946,0.000032613283,0.000026390475,0.00038525497,0.00009095991,0.00009912788],"category_scores_gemma":[0.000082278326,0.00009524063,0.0000571538,0.00025936772,0.00015963611,0.0002674523,0.00018941985,0.000107586384,0.0000029319128],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018756946,0.00007437821,0.47421417,0.00021478042,0.000029500246,1.9752041e-7,0.00033790723,5.4069524e-8,0.00003793108,0.5242123,0.000466108,0.00039395],"study_design_scores_gemma":[0.0005189719,0.00002510564,0.70802695,0.000052111372,0.000008353663,4.453493e-7,0.0001073324,0.000018725548,0.00006463852,0.28833416,0.0027441322,0.000099073695],"about_ca_topic_score_codex":0.000022996186,"about_ca_topic_score_gemma":0.0000051114675,"teacher_disagreement_score":0.23587812,"about_ca_system_score_codex":0.00003852665,"about_ca_system_score_gemma":0.0000017013958,"threshold_uncertainty_score":0.38838002},"labels":[],"label_agreement":null},{"id":"W2801403786","doi":"","title":"Training Policy for the 21st Century: Decentralization and Workforce Development Programs for Unemployed Working-Age Adults in Canada","year":2011,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Workforce development; Workforce; Economic growth; Training (meteorology); Retraining; Political science; Adult education; Job training; Labour economics; Vocational education; Economics; Geography","score_opus":0.05675952504272572,"score_gpt":0.22235144543114566,"score_spread":0.16559192038841994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801403786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669271,0.0017309589,0.012164009,0.0006927289,0.00026822378,0.0013821679,0.00009886016,0.000021856518,0.016714087],"genre_scores_gemma":[0.99416435,0.0006839545,0.004877432,0.00003262674,0.000015925698,0.000004141023,0.00002543183,0.000009565008,0.0001865521],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993676,0.000008754204,0.0001573854,0.00019499932,0.000028196457,0.00024309564],"domain_scores_gemma":[0.99954015,0.000056510464,0.00019523317,0.0001221095,0.000030416308,0.000055591496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026856005,0.00008834385,0.0001989659,0.000029196824,0.00012692371,0.0000122645315,0.0001688888,0.00004512864,0.00008690552],"category_scores_gemma":[0.000036397752,0.00009994145,0.000037443955,0.00008163802,0.000033538712,0.00011040668,0.000038431754,0.000032994147,1.9746834e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041267826,0.000078058896,0.10645219,0.00009976457,0.00008960462,0.0000020999628,0.051581882,0.000024356352,9.302181e-7,0.35309473,0.000021475737,0.48814225],"study_design_scores_gemma":[0.002323509,0.000073416086,0.90973645,0.00009670301,0.000015035467,4.2324058e-7,0.03962454,0.0052489904,0.000002760313,0.0021378205,0.04040576,0.00033459405],"about_ca_topic_score_codex":0.9404774,"about_ca_topic_score_gemma":0.98980516,"teacher_disagreement_score":0.8032843,"about_ca_system_score_codex":0.0006024888,"about_ca_system_score_gemma":0.00019202141,"threshold_uncertainty_score":0.40754938},"labels":[],"label_agreement":null},{"id":"W2803838575","doi":"10.1080/13636820.2018.1473469","title":"Measuring labour market success: a comparison between immigrants and native-born Canadians using PIAAC","year":2018,"lang":"en","type":"article","venue":"Journal of Vocational Education and Training","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Office of International Science and Engineering; Deutsche Forschungsgemeinschaft","keywords":"Human capital; Immigration; Explanatory power; Transferability; Labour economics; Economics; Labour market flexibility; Work experience; Demographic economics; Social capital; Work (physics); Sociology; Political science; Economic growth; Unemployment; Social science","score_opus":0.09215351716239702,"score_gpt":0.309235849716074,"score_spread":0.21708233255367698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803838575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908289,0.0011377642,0.0026014515,0.0015350477,0.0004233053,0.000055655637,0.00007749734,0.0000035573275,0.003336823],"genre_scores_gemma":[0.99586385,0.00006482079,0.003087526,0.00025819338,0.00059171085,0.000001544471,0.0000057277066,0.0000110530855,0.00011556427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894506,0.00003775311,0.0006409033,0.00015534084,0.00007164453,0.00014932362],"domain_scores_gemma":[0.99868846,0.00012073627,0.0006559578,0.00007174323,0.00030745086,0.00015564047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013770844,0.000097754,0.00028837722,0.00029120734,0.00018099707,0.00011087283,0.00009852264,0.000052838266,0.00008895199],"category_scores_gemma":[0.00031680986,0.000106623986,0.000036266494,0.00019686724,0.00008624923,0.0003152354,0.000015465006,0.00014778739,0.0000014553071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002721416,0.00010386928,0.863133,0.00005147298,0.00014213845,8.4673366e-7,0.0122131575,0.0000076220217,0.000022846067,0.08263693,0.0001317574,0.04152914],"study_design_scores_gemma":[0.00034629856,0.000047646274,0.9670758,0.00007827002,0.000015289515,0.000026158374,0.002462626,0.0013254347,0.000006887342,0.025108986,0.0033666103,0.00013994577],"about_ca_topic_score_codex":0.0022123964,"about_ca_topic_score_gemma":0.00058088853,"teacher_disagreement_score":0.10394284,"about_ca_system_score_codex":0.000108626584,"about_ca_system_score_gemma":0.00036764864,"threshold_uncertainty_score":0.4348},"labels":[],"label_agreement":null},{"id":"W2807051597","doi":"","title":"The State, Determinants, and Consequences of Skills Mismatch in the Ethiopian Labour Market","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Wage; Quarter (Canadian coin); Context (archaeology); Economics; Developing country; Work (physics); Underemployment; Unemployment; Economic growth","score_opus":0.028647390662109216,"score_gpt":0.30126385624389085,"score_spread":0.27261646558178165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807051597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96500176,0.00086413947,0.0000020791097,0.0011932292,0.00041663102,0.0007734525,0.00071660214,0.000007835781,0.031024272],"genre_scores_gemma":[0.9518632,0.045728903,0.00015716732,0.00015215753,0.0000823427,0.00014781705,0.000010284117,0.000037455913,0.0018206263],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960145,0.0005866849,0.0016009982,0.0008835846,0.000121373494,0.0007928585],"domain_scores_gemma":[0.9954025,0.0023264321,0.00073376927,0.0013223197,0.000118650154,0.00009633992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.015030221,0.00031174623,0.0007994127,0.00038360388,0.00023286359,0.00034851732,0.0014398162,0.00039798248,0.00007245928],"category_scores_gemma":[0.0015556222,0.00024622233,0.00013611246,0.00024840425,0.0014700252,0.00010666257,0.000905121,0.0014490366,0.000006025362],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026233215,0.00036929597,0.83702123,0.0007719246,0.0001728884,0.000073601856,0.0047759567,0.00022320122,0.000009772162,0.085672155,0.00011534914,0.07053231],"study_design_scores_gemma":[0.00075980654,0.00012976691,0.34201276,0.00028088628,0.0000040601817,0.000013934386,0.0010713718,0.003748871,0.000042070624,0.6288863,0.0224843,0.00056587346],"about_ca_topic_score_codex":0.0020627552,"about_ca_topic_score_gemma":0.005408812,"teacher_disagreement_score":0.54321414,"about_ca_system_score_codex":0.00031128255,"about_ca_system_score_gemma":0.00029833533,"threshold_uncertainty_score":0.999999},"labels":[],"label_agreement":null},{"id":"W2807724545","doi":"10.1111/1475-4932.12413","title":"Vertical, Horizontal and Residual Skills Mismatch in the Australian Graduate Labour Market","year":2018,"lang":"en","type":"article","venue":"Economic Record","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Horizontal and vertical; Residual; Demographic economics; Dimension (graph theory); Labour economics; Incidence (geometry); Economics; Accounting; Geography; Mathematics; Geodesy; Geometry","score_opus":0.03183107398448588,"score_gpt":0.2524516774745223,"score_spread":0.22062060349003643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807724545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683329,0.000059129463,0.000026406056,0.004035777,0.0008952067,0.00021891705,0.00021856122,0.000020555966,0.026192576],"genre_scores_gemma":[0.9961312,0.00023575292,0.00036261982,0.0005657648,0.0004885325,0.000023958028,0.000013417447,0.000024964109,0.0021538152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981741,0.00007854664,0.00076207105,0.00052567915,0.000030815154,0.0004288151],"domain_scores_gemma":[0.9990928,0.00017066093,0.00015639314,0.00047056805,0.000016350436,0.00009322899],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001907681,0.00019945852,0.00039343446,0.0001310516,0.0001233468,0.00021267515,0.0003713776,0.00012072258,0.0009651889],"category_scores_gemma":[0.00011035325,0.00018691235,0.00007165868,0.000119625816,0.00017946515,0.00023978596,0.00008788432,0.00023423662,0.00066354586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001433657,0.00018480243,0.55762845,0.000040797222,0.00008171648,0.000025544685,0.0013861537,0.0000018447315,0.000008655174,0.40899357,0.02533839,0.0061667417],"study_design_scores_gemma":[0.0008646905,0.00020684651,0.70441747,0.000015969661,0.0000058233345,0.000014892087,0.00021389608,0.00085484167,0.000020716947,0.1945006,0.09846904,0.00041524397],"about_ca_topic_score_codex":0.0023870259,"about_ca_topic_score_gemma":0.002491564,"teacher_disagreement_score":0.21449296,"about_ca_system_score_codex":0.00014076006,"about_ca_system_score_gemma":0.000027088196,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W2810082713","doi":"10.7202/1048569ar","title":"Aboriginal/Non-Aboriginal Wage Gaps in Canada: Evidence from the 2011 National Household Survey","year":2018,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earnings; Wage; Disadvantage; Census; Demographic economics; Geography; Survey data collection; American Community Survey; Demography; Economics; Sociology; Political science; Labour economics; Population","score_opus":0.0605453314649103,"score_gpt":0.2622728243633272,"score_spread":0.2017274928984169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810082713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98739094,0.0009994787,0.00049287005,0.0023669805,0.0006363104,0.0001889241,0.002728282,0.000015676993,0.005180565],"genre_scores_gemma":[0.9975915,0.0005945939,0.00016707407,0.00027569264,0.00032293235,0.000019703344,0.00011988849,0.000019501034,0.00088913384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836147,0.00010207205,0.00068517687,0.00040870352,0.00014343821,0.00029914404],"domain_scores_gemma":[0.9978671,0.001173338,0.00031408705,0.00041025362,0.00015901365,0.000076220495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017948181,0.00016909708,0.00025673743,0.00011872214,0.0002485333,0.00008164502,0.00043389387,0.0001677617,0.0008277495],"category_scores_gemma":[0.0004436067,0.00015880245,0.00004354976,0.0006619751,0.00011235956,0.000303132,0.000029242661,0.0004908064,0.00021688628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015693608,0.000025882491,0.9501281,5.3704247e-7,0.00002608464,0.0000029932687,0.00021034904,0.00042915766,0.0000014861482,0.033991426,0.015013974,0.00015431015],"study_design_scores_gemma":[0.00023769028,0.000013424944,0.9156701,0.000036271555,0.0000041969956,6.7312646e-7,0.000059542883,0.0031328523,0.000011692191,0.008703355,0.07192322,0.0002069684],"about_ca_topic_score_codex":0.9377569,"about_ca_topic_score_gemma":0.9040986,"teacher_disagreement_score":0.05690924,"about_ca_system_score_codex":0.0008646247,"about_ca_system_score_gemma":0.0019190018,"threshold_uncertainty_score":0.90632766},"labels":[],"label_agreement":null},{"id":"W2810781583","doi":"10.7202/1048575ar","title":"Equal Education, Unequal Jobs: College and University Students with Disabilities","year":2018,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Disadvantage; Graduation (instrument); Propensity score matching; Descriptive statistics; Educational attainment; Matching (statistics); Drop out; Special education; Postsecondary education; Psychology; Higher education; Medical education; Learning disability; Demographic economics; Actuarial science; Mathematics education; Economics; Medicine; Political science; Economic growth; Statistics; Developmental psychology","score_opus":0.02727329003437076,"score_gpt":0.23708700736947366,"score_spread":0.2098137173351029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810781583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581404,0.00013663502,0.0011982733,0.0008701778,0.00016614112,0.00017178387,0.0004115224,0.000029879864,0.038875237],"genre_scores_gemma":[0.9878319,0.0000397613,0.00039615884,0.000046976496,0.00010471982,0.0000032283792,0.000025090256,0.000011076145,0.011541128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99923533,0.000032148342,0.00025632884,0.0002738348,0.000050165097,0.0001521987],"domain_scores_gemma":[0.99932945,0.00012314305,0.00014085262,0.00023509118,0.00009287524,0.000078561985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031718097,0.00010622202,0.00016581325,0.00013065101,0.00032307772,0.000053183154,0.00015430052,0.00013074244,0.00031378018],"category_scores_gemma":[0.00017162273,0.000113249014,0.000023116445,0.0003942128,0.0002768489,0.00023378532,0.000073501484,0.00014858606,0.00010008002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012976949,0.00007868236,0.4452706,0.0000013212548,0.000024586285,3.6462032e-7,0.0005203307,0.0000060280904,1.3524412e-7,0.55336064,0.00044927414,0.00027504357],"study_design_scores_gemma":[0.0022181661,0.00052250305,0.44247591,0.0000873569,0.000055829038,0.000008528373,0.038318593,0.0011071864,0.000011482147,0.168754,0.34550843,0.00093200634],"about_ca_topic_score_codex":0.00028860048,"about_ca_topic_score_gemma":0.00015421415,"teacher_disagreement_score":0.38460666,"about_ca_system_score_codex":0.00012039284,"about_ca_system_score_gemma":0.000131984,"threshold_uncertainty_score":0.4618161},"labels":[],"label_agreement":null},{"id":"W2813271876","doi":"10.1111/caje.12523","title":"Estimating the impacts of payroll taxes: Evidence from Canadian employer–employee tax data","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Payroll; Payroll tax; Wage; Economics; Labour economics; Exploit; Wage growth; Demographic economics; Income tax; Public economics; Accounting","score_opus":0.19687432234065283,"score_gpt":0.22448406886956415,"score_spread":0.027609746528911322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2813271876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718723,0.004680288,0.00035513137,0.0055006268,0.0025705837,0.00022859652,0.014121158,0.0000049417035,0.0006663606],"genre_scores_gemma":[0.9942559,0.0005549292,0.002843873,0.0010783419,0.000818318,0.0000075748785,0.00015791063,0.00007928243,0.00020387047],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99570054,0.00012777378,0.0023170095,0.00076397427,0.0000057561083,0.0010849435],"domain_scores_gemma":[0.9925951,0.00067368516,0.001975643,0.0020384842,0.0003938931,0.0023231946],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029796239,0.0003930206,0.0012109062,0.0006289111,0.0003213221,0.00036750094,0.002301518,0.00027478373,0.00085712917],"category_scores_gemma":[0.0032691439,0.00043347134,0.00030931208,0.00036924743,0.0002444204,0.0011251868,0.00014036478,0.0006172815,0.00004139852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006456589,0.000029671992,0.62733287,0.00013024133,0.00092084805,0.0006427734,0.003143157,0.010558951,0.000025570387,0.35089844,0.003116903,0.003136017],"study_design_scores_gemma":[0.0013723101,0.0002943762,0.07042973,0.0008125102,0.00015786446,0.0004343405,0.00086434,0.032854132,0.0001229138,0.85878414,0.032444894,0.0014284262],"about_ca_topic_score_codex":0.9690311,"about_ca_topic_score_gemma":0.99958,"teacher_disagreement_score":0.5569031,"about_ca_system_score_codex":0.0023079945,"about_ca_system_score_gemma":0.007148318,"threshold_uncertainty_score":0.9998117},"labels":[],"label_agreement":null},{"id":"W2848582596","doi":"10.5465/ambpp.2018.15277symposium","title":"Strategy and Diversity: Unpacking the Gender and Racial Gaps in Earning","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Promotion (chess); Distribution (mathematics); Unpacking; Glass ceiling; Labour economics; Profitability index; Diversity (politics); Political science; Demographic economics; Business; Economics; Economic growth; Finance","score_opus":0.04547313059468386,"score_gpt":0.252146201662746,"score_spread":0.20667307106806213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2848582596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94172424,0.0004664274,0.00006166135,0.0004948293,0.000028802848,0.00015493146,0.000005209937,0.000010281199,0.05705362],"genre_scores_gemma":[0.9984108,0.0007612215,0.00015619838,0.00033777434,0.00005755129,0.00000394293,4.4295544e-7,0.0000073619854,0.000264674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992123,0.0000047976782,0.00028033182,0.00027239145,0.00004691825,0.00018322666],"domain_scores_gemma":[0.99969494,0.00002015042,0.00020561827,0.000035830773,0.000013787905,0.00002966575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011819529,0.000091147514,0.0001714102,0.00015061117,0.00017282672,0.00006279794,0.00016778157,0.00006556922,0.000026191463],"category_scores_gemma":[0.000028998871,0.00008590661,0.000019142297,0.00020805089,0.00014052106,0.00027207902,0.0005494124,0.0001508762,0.0000037473158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013874656,0.000009347442,0.28843185,0.00009084079,0.000030033301,3.8088976e-7,0.001345162,9.158555e-7,0.000005531626,0.7073338,0.00004876094,0.0026894812],"study_design_scores_gemma":[0.0004280961,0.000028073764,0.77790195,0.000023877004,0.000011142415,7.7031973e-7,0.0008741968,0.0010279642,0.000012318326,0.21142134,0.008137607,0.00013265038],"about_ca_topic_score_codex":0.000039535324,"about_ca_topic_score_gemma":0.0000019793174,"teacher_disagreement_score":0.49591246,"about_ca_system_score_codex":0.00002025687,"about_ca_system_score_gemma":0.0000011705221,"threshold_uncertainty_score":0.350317},"labels":[],"label_agreement":null},{"id":"W2865090996","doi":"10.5465/ambpp.2018.11901abstract","title":"Organization or Market Oriented HRM Practices? Examining Their Effects on Employee Wages","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human resource management; Human capital; Wage; Labour economics; Perspective (graphical); Business; Inequality; Strategic human resource planning; Work (physics); Economic inequality; Economics; Management; Economic growth","score_opus":0.04451246341926197,"score_gpt":0.2687609028254205,"score_spread":0.22424843940615852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2865090996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92516637,0.000057479494,0.0004879395,0.0012102004,0.00023393928,0.0005206801,0.000024360994,0.000107530286,0.07219152],"genre_scores_gemma":[0.99330753,0.00044476142,0.0012024303,0.0012004742,0.00025451128,0.000028635528,0.000007439785,0.000051341016,0.0035029023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99828464,0.000015026533,0.0006474472,0.0006042949,0.00011145033,0.00033716607],"domain_scores_gemma":[0.99812925,0.00016611107,0.0013937012,0.00013822666,0.00010035424,0.0000723861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001588713,0.00023749095,0.00038080267,0.00033088174,0.00015239006,0.00009575281,0.00042379243,0.00015819466,0.0004110016],"category_scores_gemma":[0.0010311637,0.00021693978,0.000042028947,0.00095633726,0.000076144745,0.0005937851,0.00024635927,0.00020727226,0.00009280582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034606055,0.0002104717,0.28648826,0.0010984533,0.00039796717,0.0000037109342,0.0009895939,8.180837e-7,0.00017216965,0.6874806,0.011350168,0.011461686],"study_design_scores_gemma":[0.002016494,0.0008620052,0.82573724,0.00039024022,0.00007818257,0.0000038820403,0.00061683304,0.00071319984,0.0052843983,0.040485386,0.1230172,0.0007949381],"about_ca_topic_score_codex":0.000011879807,"about_ca_topic_score_gemma":7.1168506e-7,"teacher_disagreement_score":0.64699525,"about_ca_system_score_codex":0.000086326036,"about_ca_system_score_gemma":0.0000052667897,"threshold_uncertainty_score":0.88465476},"labels":[],"label_agreement":null},{"id":"W2884162776","doi":"10.3386/w24790","title":"Job Tasks and the Gender Wage Gap among College Graduates","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Spencer Foundation; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Wage; Labour economics; Demographic economics; Gender gap; Psychology; Business; Economics","score_opus":0.3066504765101788,"score_gpt":0.4258234500700015,"score_spread":0.1191729735598227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884162776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61884665,0.001986912,0.000054289172,0.0034479885,0.0007462982,0.0010904021,0.0025671613,0.000019214072,0.3712411],"genre_scores_gemma":[0.9956361,0.0011897611,0.00023797214,0.00008287203,0.00052269996,0.00016709909,0.00018011124,0.000041303105,0.0019420532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99698216,0.00025660597,0.0012209819,0.0008546761,0.00023035106,0.0004552299],"domain_scores_gemma":[0.9966793,0.0013521605,0.000660472,0.000661146,0.0005268957,0.00012001211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012937049,0.00026754255,0.00079116324,0.00061793654,0.00027006565,0.00021557794,0.0008890562,0.0004059076,0.0005393773],"category_scores_gemma":[0.0011535388,0.00024119568,0.00023910355,0.00017894812,0.0015133182,0.00016406638,0.0012055641,0.00094524125,0.00015757652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100098034,0.000036988076,0.026023135,0.00009971969,0.00023316017,0.0000013284758,0.0001995152,0.00013732586,9.702795e-7,0.9686093,0.0045164665,0.000042009822],"study_design_scores_gemma":[0.0010225727,0.000024926754,0.03369614,0.000027694423,0.0000068121844,0.0000018112653,0.000050632854,0.015492325,0.000007891457,0.94842863,0.0010029658,0.00023762263],"about_ca_topic_score_codex":0.0028929303,"about_ca_topic_score_gemma":0.00030415689,"teacher_disagreement_score":0.37678948,"about_ca_system_score_codex":0.00052087696,"about_ca_system_score_gemma":0.0003051454,"threshold_uncertainty_score":0.9835674},"labels":[],"label_agreement":null},{"id":"W2884219197","doi":"","title":"The Usability of Foreign Qualifications and Skills in the Canadian Labour Market – Results Using Piaac","year":2018,"lang":"en","type":"article","venue":"XIX ISA World Congress of Sociology (July 15-21, 2018)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Usability; Business; Marketing; Labour economics; Economics; Computer science","score_opus":0.03467641224296743,"score_gpt":0.27481493331357393,"score_spread":0.24013852107060651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884219197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630985,0.00079640816,0.00003650962,0.004466408,0.0005355803,0.00041325437,0.0022555424,0.000008910294,0.02838884],"genre_scores_gemma":[0.9977095,0.00019085058,0.0003110632,0.00046475485,0.00010706019,0.00002220444,0.00002355374,0.000015314481,0.0011556639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974863,0.00036004256,0.0011900533,0.00043490634,0.00006759699,0.00046111675],"domain_scores_gemma":[0.9967323,0.0012705574,0.00082046806,0.000866561,0.00021706118,0.00009303315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059093544,0.00018620124,0.0005042811,0.00022223176,0.00042552233,0.000052139734,0.0006590431,0.00020645364,0.00012641969],"category_scores_gemma":[0.0013123383,0.0001449457,0.00010083363,0.00037480993,0.0022720944,0.00012436173,0.00009806787,0.000295037,0.0000133873755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008246145,0.00009854382,0.33941656,0.000036497993,0.00008725334,0.0000015315603,0.0026957146,0.000006651256,0.000009432322,0.65346193,0.0036570968,0.0004463093],"study_design_scores_gemma":[0.0007279101,0.00006745015,0.7028891,0.000024502278,0.000013905822,0.000002163136,0.0007134295,0.001088052,0.000019432404,0.26580897,0.028413774,0.00023133062],"about_ca_topic_score_codex":0.053779315,"about_ca_topic_score_gemma":0.2544419,"teacher_disagreement_score":0.38765296,"about_ca_system_score_codex":0.00014676468,"about_ca_system_score_gemma":0.00016120044,"threshold_uncertainty_score":0.9525216},"labels":[],"label_agreement":null},{"id":"W2884301348","doi":"","title":"Employment Flows and Firm Size","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Job creation; Labour economics; Quarter (Canadian coin); Business; Economics; Geography","score_opus":0.01965355547329464,"score_gpt":0.2372073278970314,"score_spread":0.21755377242373675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884301348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8694683,0.00063182245,0.00028930054,0.0008228727,0.00071136496,0.000047784797,0.00017730975,0.000048607082,0.12780268],"genre_scores_gemma":[0.99117357,0.000114800336,0.0006245804,0.00029111875,0.0002041251,0.00000631415,0.000014597691,0.000025471161,0.007545398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99852926,0.000007196013,0.00065211736,0.00044308224,0.000015884596,0.00035244302],"domain_scores_gemma":[0.9991793,0.00013128536,0.00021049868,0.00032919055,0.000006409454,0.00014332352],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011116778,0.00016564864,0.00034153726,0.0001620161,0.00008236402,0.00007514143,0.00015244326,0.00009580545,0.001507045],"category_scores_gemma":[0.000037049984,0.0001956197,0.00009267183,0.00008599643,0.000040720137,0.0001581221,0.000060612172,0.00010698148,0.00025364614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044850283,0.00007844055,0.2645763,0.000012610836,0.00009290455,0.000012337085,0.00032163048,0.000038499453,0.000016351418,0.694688,0.0010066978,0.039111372],"study_design_scores_gemma":[0.0009988459,0.00007113513,0.6236341,0.000005020038,0.0000063622147,0.000008502818,0.000030564803,0.0017359097,0.000028124316,0.0628517,0.31017402,0.0004557431],"about_ca_topic_score_codex":0.00037355025,"about_ca_topic_score_gemma":0.0007693657,"teacher_disagreement_score":0.63183635,"about_ca_system_score_codex":0.00018996565,"about_ca_system_score_gemma":0.0000097802,"threshold_uncertainty_score":0.99940574},"labels":[],"label_agreement":null},{"id":"W2884625329","doi":"","title":"Wages and Employment: The Canonical Model Revisited","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Labour economics; Economics","score_opus":0.024407117612361435,"score_gpt":0.2511007208688351,"score_spread":0.22669360325647367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884625329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556685,0.010376112,0.009526486,0.009241223,0.00017370323,0.00015071913,0.0000617506,0.000017531556,0.014783977],"genre_scores_gemma":[0.9825218,0.01435349,0.00005538343,0.00024734848,0.00015104786,0.0000037769803,0.0000018795749,0.000017674578,0.002647606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982282,0.000026295025,0.00039227444,0.00023113292,0.00004798639,0.0010741348],"domain_scores_gemma":[0.9989129,0.00003488074,0.00044994496,0.0004966186,0.000033627548,0.00007206462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034092783,0.00012438784,0.00024475774,0.000048172016,0.0008883064,0.00040930603,0.0005366636,0.00006876378,0.00002199072],"category_scores_gemma":[0.00023011075,0.000095193005,0.00009354643,0.000036724126,0.00010278881,0.0002449912,0.00012608686,0.0010015323,0.000017020342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013520469,0.000016877459,0.021550255,0.0000027180497,0.000070729184,0.0000014161524,0.000052244588,0.000028584564,0.000003760156,0.9750472,0.00003732162,0.0031753993],"study_design_scores_gemma":[0.00041510616,0.00004868325,0.013733842,0.000007726198,0.000010136169,0.0000521332,0.000041370047,0.010486022,0.0000012956194,0.97183657,0.0032221407,0.0001449532],"about_ca_topic_score_codex":0.00026705058,"about_ca_topic_score_gemma":0.00063401024,"teacher_disagreement_score":0.026853293,"about_ca_system_score_codex":0.00028301103,"about_ca_system_score_gemma":0.0002556536,"threshold_uncertainty_score":0.6832225},"labels":[],"label_agreement":null},{"id":"W2885378872","doi":"10.1111/caje.12341","title":"Downward nominal wage rigidity: Evidence from Canada 1901–1950","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wage; Rigidity (electromagnetism); Economics; Inflation (cosmology); Deflation; Great Depression; Econometrics; Keynesian economics; Labour economics; Monetary policy; Geography; Physics","score_opus":0.14089881055548384,"score_gpt":0.189520601523335,"score_spread":0.04862179096785116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885378872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98241866,0.0011030595,0.00024095402,0.0033018622,0.005399023,0.00023094808,0.003175106,0.000008995601,0.004121373],"genre_scores_gemma":[0.99442565,0.00021570154,0.0008672841,0.0015668408,0.0023903057,0.000010957935,0.00003995216,0.000080344464,0.00040294186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99579155,0.00007210935,0.0021324297,0.00077703304,0.0000051788084,0.001221703],"domain_scores_gemma":[0.9942142,0.00029882204,0.0017595786,0.00091541774,0.00035551825,0.0024564893],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017738655,0.00047828245,0.0012523117,0.00064146717,0.0003461765,0.00032114208,0.001320215,0.00028844053,0.0021056626],"category_scores_gemma":[0.00091158185,0.0006194202,0.000326254,0.0002510124,0.00033439146,0.0008689015,0.00006537383,0.0005741983,0.00014072013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000271544,0.00003952822,0.24829917,0.00006330566,0.00056789065,0.000706104,0.002247635,0.0007982505,0.00003212678,0.736105,0.004935089,0.005934314],"study_design_scores_gemma":[0.0015007874,0.00065462565,0.09432939,0.00033307442,0.00008186043,0.00027539494,0.00041784006,0.004206691,0.00019788112,0.7202185,0.17596172,0.0018222302],"about_ca_topic_score_codex":0.9941753,"about_ca_topic_score_gemma":0.99991196,"teacher_disagreement_score":0.17102663,"about_ca_system_score_codex":0.0054875645,"about_ca_system_score_gemma":0.0056431876,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W2885588555","doi":"","title":"Job Creation and Job Destruction","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Job loss; Job creation; Labour economics; Quarter (Canadian coin); Business; Private sector; Unemployment; Economics; Economic growth; Geography","score_opus":0.017794988258171322,"score_gpt":0.2385800251591867,"score_spread":0.22078503690101536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885588555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83445793,0.00025307297,0.0014173603,0.00031308414,0.0005908465,0.00003274138,0.000085390384,0.00003921712,0.16281039],"genre_scores_gemma":[0.99523795,0.0001076507,0.0006271048,0.000086458575,0.00023702827,0.000003844762,0.000023974915,0.000018391194,0.0036575824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988579,0.000007995107,0.00053324155,0.00035111254,0.000013075896,0.00023667401],"domain_scores_gemma":[0.99940675,0.000046149486,0.0002196299,0.0002266522,0.000008673911,0.000092123766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009141259,0.0001248578,0.00024013246,0.00028191172,0.000091655544,0.00008079416,0.00009072368,0.00010067058,0.0006146352],"category_scores_gemma":[0.000023488417,0.0001540558,0.00006215915,0.00009805857,0.000052054747,0.00026204233,0.000027297821,0.00009039182,0.0001555457],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018160303,0.00000927386,0.4088802,0.000005187771,0.000022054312,0.0000014813088,0.00009948021,0.000016964326,0.000008507058,0.5608663,0.00014511369,0.029927285],"study_design_scores_gemma":[0.00045095672,0.00003060924,0.8914457,0.0000028370853,0.000004447315,0.000010053045,0.00002545237,0.0011559043,0.000023495648,0.083139755,0.023499107,0.00021166957],"about_ca_topic_score_codex":0.00061490014,"about_ca_topic_score_gemma":0.00063367886,"teacher_disagreement_score":0.48256552,"about_ca_system_score_codex":0.0001931733,"about_ca_system_score_gemma":0.000008180145,"threshold_uncertainty_score":0.67298245},"labels":[],"label_agreement":null},{"id":"W2886635037","doi":"10.34989/swp-2017-61","title":"The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data","year":2024,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Bank of Canada","funders":"","keywords":"Wage; Economics; Dynamics (music); Econometrics; Labour economics; Psychology","score_opus":0.13755798034654868,"score_gpt":0.3272657019531218,"score_spread":0.18970772160657315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886635037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92345,0.004400469,0.00045172017,0.0015794139,0.0005345735,0.00080683886,0.0005753814,0.000023793747,0.06817783],"genre_scores_gemma":[0.99385005,0.0044350307,0.00052102754,0.000033605887,0.00013896586,0.000020591593,0.000047841062,0.00002929725,0.00092355924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744177,0.00027178647,0.0009419829,0.00070697465,0.00009290641,0.0005445566],"domain_scores_gemma":[0.9969575,0.0011617125,0.00016551609,0.0016196095,0.00003126182,0.000064397405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012543508,0.00014874761,0.00033014044,0.00032519308,0.00014922312,0.00026668495,0.0015145319,0.00014346464,0.00002560437],"category_scores_gemma":[0.0011368962,0.000116155155,0.00009511092,0.0006538076,0.00020728125,0.00031795527,0.00045395998,0.00068066147,0.000009294932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011774844,0.00027249375,0.05004728,0.00023565524,0.00014276012,0.000023031222,0.0025646037,0.0040237918,0.00006459759,0.8838871,0.00016781634,0.05845309],"study_design_scores_gemma":[0.0005122429,0.00004017799,0.02984532,0.00008914807,0.0000060748675,0.000012456056,0.003128461,0.75049603,0.000003929895,0.17927888,0.03628718,0.00030008948],"about_ca_topic_score_codex":0.0025605005,"about_ca_topic_score_gemma":0.001804119,"teacher_disagreement_score":0.74647224,"about_ca_system_score_codex":0.00081940804,"about_ca_system_score_gemma":0.0003559135,"threshold_uncertainty_score":0.473667},"labels":[],"label_agreement":null},{"id":"W2886653037","doi":"10.1111/j.1540-5982.2009.01576.x","title":"Understanding the wage patterns of Canadian less skilled workers: the role of implicit contracts","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Winnipeg; University of British Columbia","funders":"","keywords":"Spell; Labour economics; Wage; Quarter (Canadian coin); Wage growth; Economics; Efficiency wage; Demographic economics; Sociology","score_opus":0.142734704301713,"score_gpt":0.18591604624184357,"score_spread":0.04318134194013057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886653037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864003,0.00035192847,0.00013605614,0.003360604,0.0016161285,0.0003366253,0.0017205006,0.000002586107,0.0060752584],"genre_scores_gemma":[0.9988438,0.00016786212,0.000075610864,0.00038762545,0.0003328824,0.000009801088,0.000013523302,0.000053727785,0.00011517332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99699557,0.00006153964,0.0017571364,0.00032976575,0.0000044919916,0.00085148396],"domain_scores_gemma":[0.99538517,0.00043177445,0.0019626766,0.00080288964,0.000188861,0.001228606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026607239,0.00029484526,0.00091712805,0.0011962253,0.00029330762,0.00015438374,0.0012653304,0.0002711279,0.000342125],"category_scores_gemma":[0.00044354462,0.00026590633,0.00038005118,0.00032879366,0.00030346023,0.00031678157,0.00003293114,0.0007654104,0.000006154754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021830092,0.000009237642,0.16844001,0.000014397312,0.00019219366,0.000015168963,0.0013383676,0.00069837586,0.00002204898,0.82873,0.00004664091,0.00047174664],"study_design_scores_gemma":[0.0009904776,0.00015964723,0.051550422,0.00010583963,0.000059464695,0.00016501787,0.0061566033,0.0021648074,0.00014140976,0.9131972,0.024730748,0.00057835516],"about_ca_topic_score_codex":0.91476107,"about_ca_topic_score_gemma":0.99926853,"teacher_disagreement_score":0.116889596,"about_ca_system_score_codex":0.0012938402,"about_ca_system_score_gemma":0.0018936426,"threshold_uncertainty_score":0.9999793},"labels":[],"label_agreement":null},{"id":"W2886727873","doi":"","title":"What’s Up with the Unemployment Rate?","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Percentage point; Unemployment; Unemployment rate; Economics; Quarter (Canadian coin); Fell; Demographic economics; Current Population Survey; Labour economics; Demography; Geography; Population; Economic growth; Sociology; Cartography","score_opus":0.045648977804617116,"score_gpt":0.22263630135583015,"score_spread":0.17698732355121305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886727873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8174731,0.00062580296,0.00017939246,0.003804057,0.0041847583,0.00011353183,0.00016033385,0.00007159867,0.17338738],"genre_scores_gemma":[0.96585876,0.00018854189,0.00006879543,0.0005685305,0.00012337655,0.00003888435,0.000017672317,0.000032102405,0.033103324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987782,0.000026583259,0.00044275654,0.00042384185,0.000015930758,0.00031266984],"domain_scores_gemma":[0.9989633,0.000044024084,0.00029894692,0.0006017432,0.000010953222,0.000081059625],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000772196,0.0001872587,0.0003057434,0.00012556872,0.00011547345,0.00017111567,0.00037122463,0.00006427391,0.0036307198],"category_scores_gemma":[0.0000058239716,0.00014368685,0.00010371414,0.00011992121,0.00009504519,0.00045796513,0.00005335405,0.00013053232,0.000781922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007844762,0.00006468235,0.037865754,0.0000057770408,0.00015901634,0.0000054780025,0.0017251811,0.00005259642,0.0000010362902,0.94965863,0.00527682,0.0051066023],"study_design_scores_gemma":[0.0022202872,0.0003146021,0.30790854,0.00002166565,0.000032497264,0.000014050114,0.0008385779,0.002331953,0.00012026876,0.12295727,0.56216884,0.0010714962],"about_ca_topic_score_codex":0.0005692812,"about_ca_topic_score_gemma":0.00069026847,"teacher_disagreement_score":0.82670134,"about_ca_system_score_codex":0.00013849235,"about_ca_system_score_gemma":0.000021596212,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W2887751189","doi":"10.33423/jabe.v20i2.324","title":"Dynamic Unemployment along Recessions and Recoveries: The U.S. Experience 1968 – 2015","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Recession; Unemployment; Unemployment rate; Inflation (cosmology); Productivity; Wage; Real gross domestic product; Misery index; Inflation rate; Labour economics; Monetary economics; Macroeconomics; Interest rate","score_opus":0.018847710210376463,"score_gpt":0.2370292375011062,"score_spread":0.21818152729072973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887751189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919014,0.00076962775,0.001001281,0.0023149375,0.0007383122,0.00010936054,0.00005041496,0.000006029143,0.0031086535],"genre_scores_gemma":[0.99190515,0.0062937033,0.0010231573,0.00047109582,0.00019232766,0.000007332607,0.0000028442191,0.000019868321,0.00008454141],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99863994,0.000007995144,0.00085586886,0.00025227442,0.000028138793,0.00021577739],"domain_scores_gemma":[0.99863434,0.00007925244,0.00085174676,0.00024847002,0.00008368031,0.0001025358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009010412,0.00016372504,0.00042379112,0.000114481096,0.000251941,0.00020704264,0.00023193704,0.00008723349,0.000074583695],"category_scores_gemma":[0.000055121458,0.00012772866,0.000048609323,0.00016568252,0.0002746066,0.0003110176,0.00013432889,0.00014993767,0.00001011521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000999332,0.000321176,0.11381905,0.00016348172,0.00041511244,0.000013496552,0.009604837,0.00067929534,0.00021619599,0.8246403,0.001086133,0.048041604],"study_design_scores_gemma":[0.0023560708,0.00024225979,0.21974967,0.000098886194,0.000050715076,0.00013712762,0.0025028184,0.010336749,0.000082406055,0.5558631,0.20763499,0.00094524684],"about_ca_topic_score_codex":0.00010489939,"about_ca_topic_score_gemma":0.00011943508,"teacher_disagreement_score":0.26877722,"about_ca_system_score_codex":0.00007814585,"about_ca_system_score_gemma":0.00003474347,"threshold_uncertainty_score":0.5208624},"labels":[],"label_agreement":null},{"id":"W2887871119","doi":"","title":"Hours and Labor Market Slack","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Payroll; Unemployment; Labour economics; Quarter (Canadian coin); Nonfarm payrolls; Great recession; Aggregate demand; Demographic economics; Keynesian economics; Monetary policy; Macroeconomics; Geography","score_opus":0.011928011482021238,"score_gpt":0.21820815186917522,"score_spread":0.20628014038715398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887871119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77377594,0.00019138631,0.000012844982,0.0013112564,0.0011570819,0.000035887548,0.0006842034,0.000045921253,0.22278547],"genre_scores_gemma":[0.98772734,0.00011680154,0.0005071188,0.00029601014,0.00028136015,0.000012118354,0.00002296852,0.000031753963,0.011004506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869967,0.000011819445,0.00048817025,0.00048111056,0.0000141829805,0.0003050516],"domain_scores_gemma":[0.9991024,0.00006326497,0.00022988535,0.0004482873,0.000009540921,0.00014661695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070632563,0.0001780037,0.00035229704,0.00021896402,0.00008112517,0.00013032001,0.00021508541,0.00013501676,0.007678182],"category_scores_gemma":[0.000045425833,0.00020893563,0.000086281674,0.00009744254,0.0000936489,0.00023046084,0.00006491694,0.00024470827,0.0003420195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015476531,0.000027877895,0.39986897,0.0000064407077,0.000035701843,0.0000026903817,0.00008179907,0.0000027195906,0.0000148533645,0.5870996,0.0038421613,0.009001684],"study_design_scores_gemma":[0.00063813874,0.000027462209,0.7264449,0.0000024669262,0.000003947514,0.000008531505,0.000014591296,0.0018265257,0.000013970103,0.08172599,0.18894033,0.0003531714],"about_ca_topic_score_codex":0.0002912975,"about_ca_topic_score_gemma":0.0006825163,"teacher_disagreement_score":0.50537366,"about_ca_system_score_codex":0.000050232313,"about_ca_system_score_gemma":0.000017307002,"threshold_uncertainty_score":0.9932289},"labels":[],"label_agreement":null},{"id":"W2888208009","doi":"","title":"Minimum Wage Earners","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Workforce; Quarter (Canadian coin); Labour economics; Wage; Living wage; Demographic economics; Hourly wage; Economics; Geography; Economic growth","score_opus":0.022498133182957184,"score_gpt":0.2422310311779507,"score_spread":0.21973289799499351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888208009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6040845,0.00023837727,0.00060456886,0.00050387584,0.0010315428,0.000034161643,0.00019226466,0.00006226228,0.39324847],"genre_scores_gemma":[0.9834374,0.000042083924,0.00038651616,0.00030978522,0.00031676993,0.0000048170177,0.000043756765,0.00003488862,0.015423959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981863,0.000009561434,0.00080562575,0.00049552287,0.000019501775,0.00048347662],"domain_scores_gemma":[0.9989715,0.00007665987,0.00031167438,0.00047351673,0.000008306242,0.00015833272],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015058666,0.00018754721,0.00038054198,0.0003704419,0.000084057145,0.00007537018,0.00029103484,0.00013005454,0.0028820643],"category_scores_gemma":[0.000031618052,0.00022818224,0.00018108431,0.00016182102,0.00006197948,0.00020819574,0.00005195466,0.00015309798,0.0017796109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037681326,0.00006182402,0.08892979,0.000006609767,0.000072815696,0.000015874166,0.00025035106,0.00005088266,0.000017073213,0.8853374,0.0025493584,0.022670332],"study_design_scores_gemma":[0.0015369352,0.0000901598,0.3666103,0.0000069152334,0.000009118164,0.000010118194,0.0001108313,0.0022642976,0.000105382125,0.08290473,0.54546773,0.00088349194],"about_ca_topic_score_codex":0.0003955553,"about_ca_topic_score_gemma":0.00035487083,"teacher_disagreement_score":0.80243266,"about_ca_system_score_codex":0.00026494928,"about_ca_system_score_gemma":0.000015727592,"threshold_uncertainty_score":0.9989976},"labels":[],"label_agreement":null},{"id":"W2890147748","doi":"10.3386/w7655","title":"Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis","year":2000,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Educational attainment; Demographic economics; Wage; Economics; Cohort; Slowdown; Elasticity of substitution; Demography; Gender gap; Cohort effect; Labour economics; Medicine; Population; Economic growth; Sociology; Production (economics)","score_opus":0.18970016251293728,"score_gpt":0.42024689500874013,"score_spread":0.23054673249580285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890147748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76566076,0.001184734,0.002697486,0.034763668,0.0008441635,0.006488569,0.05150826,0.00005658609,0.13679579],"genre_scores_gemma":[0.9939777,0.00016655544,0.0014622224,0.00026656024,0.0003427222,0.00077783206,0.0016052378,0.000053379226,0.0013477703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99612916,0.00020518094,0.0016013683,0.0011283229,0.0003092568,0.0006267342],"domain_scores_gemma":[0.9957727,0.0019064944,0.00064218993,0.0008724141,0.0006324046,0.00017375864],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0126621425,0.00031269222,0.0010630516,0.001814447,0.00035459438,0.00026951716,0.001162248,0.0003885828,0.0007101683],"category_scores_gemma":[0.0008753697,0.0003174944,0.0006335578,0.0007581983,0.0001628033,0.00010956528,0.00031771683,0.0007606032,0.000035787634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003186069,0.00012535838,0.040320087,0.0001213376,0.001777373,0.0000017603543,0.00027009382,0.09835633,0.000008920132,0.8537628,0.004775337,0.00016196546],"study_design_scores_gemma":[0.0005375219,0.000055120916,0.010046301,0.000040108815,0.00006916271,3.6472082e-7,0.000073510666,0.20024504,0.000035230732,0.7854681,0.003059394,0.0003701394],"about_ca_topic_score_codex":0.007354153,"about_ca_topic_score_gemma":0.002130075,"teacher_disagreement_score":0.22831698,"about_ca_system_score_codex":0.001848146,"about_ca_system_score_gemma":0.0007751608,"threshold_uncertainty_score":0.9999277},"labels":[],"label_agreement":null},{"id":"W2890606429","doi":"10.3386/w22128","title":"Market Reforms in the Time of Imbalance","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"University of British Columbia; Carey Business School, Johns Hopkins University; Centre for Economic Policy Research; Johns Hopkins University","keywords":"Economics; Business; Monetary economics","score_opus":0.16512433936853022,"score_gpt":0.4141278709054232,"score_spread":0.24900353153689297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890606429","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15637188,0.00069662655,0.000035283556,0.003925539,0.00027586787,0.00062327704,0.002004613,0.00000658665,0.83606035],"genre_scores_gemma":[0.9958646,0.0005175623,0.00011887159,0.00005297015,0.00020854999,0.00008959147,0.00011068414,0.000021730782,0.0030154237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972701,0.00018666343,0.0013926951,0.0005505078,0.00023705469,0.00036297913],"domain_scores_gemma":[0.9970824,0.0011013388,0.0007674986,0.00070266565,0.00030235364,0.000043713888],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014622705,0.00017637572,0.00065949856,0.0007190925,0.000045309695,0.000050002345,0.0013430679,0.00031622965,0.0010626856],"category_scores_gemma":[0.0008736162,0.00013657537,0.00020209438,0.00020012465,0.0002758819,0.00013243905,0.00052483566,0.0006502662,0.00018730233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073288196,0.0000954088,0.01654393,0.0001263393,0.000061262326,0.0000011484129,0.00013385697,0.00009531464,0.000013150671,0.9795905,0.0030964785,0.0001693386],"study_design_scores_gemma":[0.00038432417,0.000033608347,0.027060296,0.000084861895,0.0000011845377,9.938449e-7,0.000018469545,0.0031246864,0.000020141499,0.96760327,0.0015194025,0.00014875797],"about_ca_topic_score_codex":0.00083526294,"about_ca_topic_score_gemma":0.000076846685,"teacher_disagreement_score":0.83949274,"about_ca_system_score_codex":0.00071994914,"about_ca_system_score_gemma":0.00033799987,"threshold_uncertainty_score":0.99985045},"labels":[],"label_agreement":null},{"id":"W2891585895","doi":"10.2139/ssrn.2374631","title":"Returns to Skills Around the World: Evidence from Piaac","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Numeracy; Human capital; Earnings; Wage; Demographic economics; Quarter (Canadian coin); Economics; Educational attainment; Cognitive skill; Labour economics; Literacy; Psychology; Accounting; Cognition; Economic growth; Geography","score_opus":0.014470316811420773,"score_gpt":0.24008298911836212,"score_spread":0.22561267230694135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891585895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93556595,0.0045833113,0.04079386,0.013066061,0.00091702765,0.00018255333,0.0000472307,0.000029838206,0.0048141708],"genre_scores_gemma":[0.9909193,0.0021853992,0.00025991772,0.0013225845,0.0009498005,0.000008399805,0.0000040962595,0.000028532872,0.0043219775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972191,0.000105613275,0.00064469525,0.00036766904,0.00009405235,0.0015688642],"domain_scores_gemma":[0.9984699,0.00042331542,0.00038777548,0.0005265152,0.000058880752,0.00013359754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00605077,0.0001830973,0.00033294945,0.00016944493,0.00025744177,0.00026068214,0.0007440613,0.000065974105,0.0001958708],"category_scores_gemma":[0.0007490038,0.00014655624,0.00016434255,0.00043983263,0.000041071813,0.00027738756,0.00009545271,0.001358109,0.00037228366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003134904,0.00004612089,0.039505273,0.000002393684,0.000110567045,9.26694e-7,0.00041932505,0.00010913885,0.000023333752,0.954697,0.00028896204,0.004765623],"study_design_scores_gemma":[0.00024693448,0.00011280975,0.017138353,0.000033175005,0.000011151035,0.000014113921,0.00021026607,0.0008586862,0.000010188922,0.9552497,0.025875054,0.00023956623],"about_ca_topic_score_codex":0.00070776953,"about_ca_topic_score_gemma":0.010409667,"teacher_disagreement_score":0.055353343,"about_ca_system_score_codex":0.00080758554,"about_ca_system_score_gemma":0.00023244243,"threshold_uncertainty_score":0.597639},"labels":[],"label_agreement":null},{"id":"W2891811042","doi":"10.2139/ssrn.998266","title":"Performance Pay and Wage Inequality","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Wage inequality; Inequality; Economics; Labour economics; Wage; Demographic economics; Mathematics","score_opus":0.013430165139963647,"score_gpt":0.22292732178034783,"score_spread":0.20949715664038418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891811042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974737,0.0019889541,0.014689237,0.000505335,0.00028111684,0.00006972909,0.000015144218,0.000021225538,0.007692288],"genre_scores_gemma":[0.9917028,0.0065518003,0.00013189627,0.00017333664,0.0002261102,0.0000012794131,0.000003648667,0.000019146006,0.0011900136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973331,0.000023165281,0.0006510481,0.00025334372,0.000055263583,0.0016840871],"domain_scores_gemma":[0.9992609,0.000056579618,0.00032841423,0.00019995775,0.0000413762,0.00011279157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010072104,0.00014444001,0.00027179447,0.00014479455,0.00020700251,0.000071119284,0.00019455932,0.00009257485,0.000048261023],"category_scores_gemma":[0.00011437997,0.00012485897,0.00007507462,0.00019177882,0.00004989375,0.00027505102,0.000051765106,0.001206264,0.0000423737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000318194,0.0000323724,0.30206117,0.000007794641,0.00004289771,0.000002398467,0.00008385583,0.0000024367828,0.000010374532,0.67926854,0.000005252159,0.018451052],"study_design_scores_gemma":[0.0006551353,0.00017300491,0.2462101,0.000008111463,0.000005883854,0.0001216175,0.00020602206,0.0005803797,0.000014969173,0.7457412,0.0060020844,0.0002814852],"about_ca_topic_score_codex":0.00014697482,"about_ca_topic_score_gemma":0.00043787833,"teacher_disagreement_score":0.06647265,"about_ca_system_score_codex":0.00048767438,"about_ca_system_score_gemma":0.00016327434,"threshold_uncertainty_score":0.52406836},"labels":[],"label_agreement":null},{"id":"W2894004644","doi":"10.1515/bejeap-2017-0173","title":"Modeling Completion of Vocational Education: The Role of Cognitive and Noncognitive Skills by Program Type","year":2018,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Strategic Research Council","keywords":"Vocational education; Certification; Cognition; Psychology; Cognitive skill; Mathematics education; Medical education; Pedagogy; Medicine; Political science","score_opus":0.015747430988552212,"score_gpt":0.2927780183315926,"score_spread":0.2770305873430404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894004644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913592,0.0021083425,0.0018768548,0.00079041184,0.00008351861,0.00012976181,0.00013890455,0.0000017925322,0.0035112412],"genre_scores_gemma":[0.9980712,0.0012625478,0.00012739444,0.00016699238,0.0002799147,0.0000030650283,0.000022561579,0.0000076231527,0.000058700363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879587,0.00007062828,0.00087399554,0.00011046686,0.000039121624,0.00010991594],"domain_scores_gemma":[0.99788165,0.000238453,0.0012439338,0.00016050319,0.00043102258,0.00004443186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013559848,0.00009253644,0.00043410997,0.0002838408,0.000086817665,0.000040424213,0.00022318888,0.0000411582,0.00010050487],"category_scores_gemma":[0.00019783142,0.00006805835,0.00015568956,0.0003731679,0.0002467031,0.00021436799,0.00004317694,0.000097628894,0.000008457439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006981093,0.0018666305,0.13429615,0.000048132744,0.010340379,2.0065876e-7,0.015346666,0.004391243,0.00016415678,0.6909139,0.0002496955,0.14168471],"study_design_scores_gemma":[0.0013384403,0.0009173879,0.10584808,0.00016799886,0.0019057665,0.000024229275,0.010320449,0.3138167,0.00047099404,0.5629531,0.0017397681,0.00049705844],"about_ca_topic_score_codex":0.0015687152,"about_ca_topic_score_gemma":0.00011323417,"teacher_disagreement_score":0.30942547,"about_ca_system_score_codex":0.00007622546,"about_ca_system_score_gemma":0.00019007511,"threshold_uncertainty_score":0.27753386},"labels":[],"label_agreement":null},{"id":"W2898528306","doi":"10.1108/s0147-912120150000042007","title":"Wage Growth and Job Mobility in the Early Career: Testing a Statistical Discrimination Model of the Gender Wage Gap","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Wage growth; Wage; Economics; Productivity; Statistical discrimination; National Longitudinal Surveys; Labour economics; Demographic economics; Efficiency wage; Economic growth","score_opus":0.1643761386219643,"score_gpt":0.2549684719216387,"score_spread":0.0905923332996744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898528306","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10556986,0.000660074,0.00953883,0.00030426745,0.00012789122,0.00073362683,0.0033523154,0.000017638222,0.8796955],"genre_scores_gemma":[0.9913955,0.000062099876,0.0011335876,0.00012606905,0.000033008357,0.000016202543,0.000030370715,0.000030925643,0.007172291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982366,0.000051705614,0.00089496985,0.00047105746,0.00011721885,0.00022844762],"domain_scores_gemma":[0.99834883,0.00047095766,0.0004436959,0.0005582271,0.000120012126,0.000058245714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024400833,0.00024800806,0.0005202862,0.00010159348,0.00006855114,0.00005813061,0.00037699423,0.00022160883,0.00004325679],"category_scores_gemma":[0.0007970224,0.00016782827,0.00008936636,0.00006967017,0.00019643026,0.00011659889,0.0002062252,0.00041116745,0.0000040984573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008124456,0.000030746363,0.023312652,0.00009533591,0.000017842855,0.0000013845575,0.0006021362,0.00004979803,9.607888e-7,0.97543126,0.00003661438,0.00041311077],"study_design_scores_gemma":[0.00021570871,0.00002934553,0.08507034,0.000025281712,0.000019434414,0.0000011745667,0.00004628474,0.032007333,3.2832693e-7,0.88230205,0.00006463815,0.00021808523],"about_ca_topic_score_codex":0.0017281557,"about_ca_topic_score_gemma":0.00040626051,"teacher_disagreement_score":0.8858256,"about_ca_system_score_codex":0.000106237574,"about_ca_system_score_gemma":0.000058256657,"threshold_uncertainty_score":0.6843838},"labels":[],"label_agreement":null},{"id":"W2899154213","doi":"10.3138/cpp.2016-091","title":"Post-Secondary Student Choices and the Labour Shortage in Canada’s Information and Communication Technology Sector","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workforce; Graduation (instrument); Economic shortage; Incentive; Information and Communications Technology; Investment (military); Human capital; Economics; Point (geometry); Labour economics; Higher education; Business; Public relations; Marketing; Economic growth; Political science; Engineering; Market economy","score_opus":0.009649557356311117,"score_gpt":0.21132323346935997,"score_spread":0.20167367611304884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899154213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395116,0.00093345676,0.0000051664674,0.044547096,0.00007306614,0.0001852693,0.00078623934,0.000007911282,0.013950213],"genre_scores_gemma":[0.99383366,0.0003267391,0.000022669396,0.005594817,0.000046248442,0.000021899581,0.000032520213,0.000006187538,0.00011526977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917233,0.00002977312,0.00035777362,0.00012643846,0.00002603919,0.00028763074],"domain_scores_gemma":[0.99923587,0.000046705543,0.00014832338,0.00033052533,0.00007196932,0.00016663127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006738727,0.00008675025,0.0001787374,0.0006133436,0.00018756077,0.00018544753,0.0002940645,0.00007374882,0.00009416858],"category_scores_gemma":[0.00035809432,0.00008196174,0.000010969734,0.00039486762,0.00020837833,0.00041754774,0.00008944118,0.00016657037,0.000006848319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023817772,0.000002021207,0.22763258,0.0000069809676,0.000010304437,4.1541557e-7,0.00033049023,9.4343484e-8,1.5928754e-7,0.76648784,0.00007289972,0.0054538255],"study_design_scores_gemma":[0.00058695994,0.00001162982,0.7901897,0.0000037413881,9.929809e-7,0.000003914458,0.00041157193,0.0003423495,5.180086e-7,0.034311507,0.17402121,0.0001159458],"about_ca_topic_score_codex":0.99769,"about_ca_topic_score_gemma":0.9997291,"teacher_disagreement_score":0.73217636,"about_ca_system_score_codex":0.0006959951,"about_ca_system_score_gemma":0.0025338714,"threshold_uncertainty_score":0.4494979},"labels":[],"label_agreement":null},{"id":"W2899169262","doi":"10.3138/cpp.2017-070","title":"Is There Evidence of an Information and Communication Technology Labour Shortage in the Canadian Labour Force Survey?","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microdata (statistics); Overtime; Information and Communications Technology; Economic shortage; Labour economics; Incentive; Context (archaeology); Immigration; Wage; Demographic economics; Business; Economics; Political science; Census; Sociology; Law; Market economy","score_opus":0.04419421089425869,"score_gpt":0.27220925444502314,"score_spread":0.22801504355076446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899169262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96488756,0.0005398837,0.000018875935,0.026294753,0.000036616086,0.00018859854,0.0016090076,0.000007781364,0.0064169127],"genre_scores_gemma":[0.99494,0.00022385723,0.000065974615,0.0045203357,0.000033852262,0.000015964435,0.000059451726,0.000008347812,0.00013224465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988892,0.00009249989,0.00043215428,0.00015233947,0.000037358594,0.00039644665],"domain_scores_gemma":[0.99856806,0.00006709262,0.00020154357,0.0007186565,0.0001830497,0.00026161948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025534104,0.000099186356,0.0001820302,0.00125702,0.00023949305,0.00021697434,0.00069113035,0.00018124336,0.000114951705],"category_scores_gemma":[0.0012058457,0.00009994729,0.0000186389,0.0013704381,0.0002102932,0.00090756215,0.000038466398,0.00017773586,0.000022319307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013544734,0.0000036707247,0.30209875,0.000010593365,0.000005118291,4.1247026e-7,0.0006494376,2.3198493e-7,2.945718e-7,0.695022,0.00006804939,0.0021400978],"study_design_scores_gemma":[0.000115071765,0.000037662983,0.87000227,0.000013331138,7.3459137e-7,0.0000029183302,0.00018596985,0.000549397,0.0000023803545,0.088857375,0.04011364,0.000119248434],"about_ca_topic_score_codex":0.9903047,"about_ca_topic_score_gemma":0.9988738,"teacher_disagreement_score":0.60616463,"about_ca_system_score_codex":0.00044294825,"about_ca_system_score_gemma":0.0014509258,"threshold_uncertainty_score":0.40757322},"labels":[],"label_agreement":null},{"id":"W2899696922","doi":"10.2139/ssrn.3164963","title":"Can Low-wage Workers Find Better Jobs?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Labour economics; Wage; Low wage; Business; Economics","score_opus":0.01078496914515538,"score_gpt":0.21107231139533025,"score_spread":0.20028734225017486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899696922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97788936,0.001151393,0.0051964736,0.0039720675,0.00078319287,0.000094155155,0.000052185227,0.000026418158,0.010834766],"genre_scores_gemma":[0.9931335,0.000795283,0.00014545163,0.0008296114,0.0009762356,0.000003977948,0.000007427281,0.000038595266,0.004069918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968001,0.000039404487,0.0006226199,0.00034396732,0.00006896361,0.002124936],"domain_scores_gemma":[0.99903965,0.000036426718,0.00039190147,0.0003320539,0.00007280156,0.00012719262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026984054,0.00019624148,0.0003256405,0.00018357782,0.00028724634,0.00015681094,0.00040662725,0.00012804591,0.00045746897],"category_scores_gemma":[0.00010693871,0.00020201808,0.0001734599,0.00028638256,0.00010319674,0.00019741934,0.000060189464,0.0012733007,0.0003597705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045444576,0.00006788184,0.1927248,0.000005420222,0.00020720759,0.000006917259,0.00020899005,0.000005045166,0.000022642911,0.7980785,0.00038978108,0.008237376],"study_design_scores_gemma":[0.00067597977,0.00020023837,0.03919397,0.000015615444,0.000009109628,0.00005752954,0.00018142635,0.00027039673,0.000016955726,0.94974166,0.009300784,0.00033634665],"about_ca_topic_score_codex":0.00045835064,"about_ca_topic_score_gemma":0.0022721873,"teacher_disagreement_score":0.15353082,"about_ca_system_score_codex":0.0008899068,"about_ca_system_score_gemma":0.00042476534,"threshold_uncertainty_score":0.82380587},"labels":[],"label_agreement":null},{"id":"W2900234994","doi":"10.22004/ag.econ.274664","title":"Job Displacement Risk and Severance Pay","year":2015,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Severance; Displacement (psychology); Labour economics; Economics; Business; Psychology","score_opus":0.06492087615884508,"score_gpt":0.3515228510902894,"score_spread":0.28660197493144435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900234994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750401,0.0017133205,0.000071046285,0.00617392,0.0007070478,0.00090983213,0.005893135,0.000018777157,0.009472837],"genre_scores_gemma":[0.97947156,0.01680627,0.0023436674,0.00042771272,0.0004983249,0.000038375383,0.000043303702,0.00005558419,0.00031518756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98943573,0.00021835924,0.0030659323,0.002827123,0.00037800224,0.004074825],"domain_scores_gemma":[0.9882485,0.0009844531,0.0011458499,0.0015927636,0.0010722926,0.0069561354],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.022977773,0.0007726532,0.0021848748,0.0016825191,0.00073378836,0.001359723,0.0021303708,0.0005933667,0.00018181586],"category_scores_gemma":[0.006081338,0.00071548123,0.00027929342,0.0008626193,0.010760619,0.0013534003,0.0046194987,0.002226414,0.00004550735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118049,0.00020956394,0.112821646,0.0002095135,0.000060307124,0.0000025072582,0.00005341188,0.00020470777,0.00002333881,0.88560694,0.00004106799,0.00064896763],"study_design_scores_gemma":[0.001447326,0.00048177637,0.15833054,0.00013909648,0.0000387233,0.000017324133,0.00027989884,0.044962727,0.00013834998,0.7890479,0.004218386,0.00089792715],"about_ca_topic_score_codex":0.015685152,"about_ca_topic_score_gemma":0.00086175726,"teacher_disagreement_score":0.096559,"about_ca_system_score_codex":0.0018577691,"about_ca_system_score_gemma":0.004560096,"threshold_uncertainty_score":0.99967694},"labels":[],"label_agreement":null},{"id":"W2901607619","doi":"10.3138/cpp.2018-001","title":"Information and Communication Technology Talent: The Skills We Need—Framing the Issues","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University; University of Lethbridge; University of Ottawa","funders":"","keywords":"Information and Communications Technology; Economic shortage; Framing (construction); Context (archaeology); Conceptual framework; Business; Marketing; Public relations; Sociology; Political science; Engineering; Social science","score_opus":0.01316588766844544,"score_gpt":0.23070424027711667,"score_spread":0.21753835260867121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901607619","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3440063,0.0032505803,0.00027385596,0.6056819,0.00020022423,0.00030886667,0.0003813138,0.000048088,0.045848884],"genre_scores_gemma":[0.99337,0.0011932501,0.000064587264,0.004685647,0.00015793116,0.00002171449,0.000023562267,0.000007671318,0.000475662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992496,0.00002642714,0.0003009781,0.000091109214,0.000023430815,0.00030849077],"domain_scores_gemma":[0.99896353,0.000048018122,0.00017642528,0.00061774167,0.00007715086,0.000117148564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007778146,0.000084894215,0.000114829585,0.00050509785,0.0005669854,0.00032805154,0.00051015563,0.0001055631,0.000077445664],"category_scores_gemma":[0.0006407495,0.00006493724,0.000023740045,0.00072619994,0.00037437532,0.00045776015,0.00009812322,0.00015491263,0.00012675255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.141515e-7,0.0000029618382,0.0078093745,0.0000034337888,0.000011115618,6.454953e-8,0.0009611427,1.9140373e-7,2.1736685e-7,0.9665865,0.0014650343,0.0231597],"study_design_scores_gemma":[0.00007842802,0.0000099312765,0.018077327,0.0000042957718,0.0000011748533,0.0000039837123,0.00037201197,0.00065467035,0.0000015827014,0.23279041,0.74792624,0.00007993385],"about_ca_topic_score_codex":0.14569117,"about_ca_topic_score_gemma":0.09893192,"teacher_disagreement_score":0.7464612,"about_ca_system_score_codex":0.00019495461,"about_ca_system_score_gemma":0.00022860114,"threshold_uncertainty_score":0.9175102},"labels":[],"label_agreement":null},{"id":"W2901791314","doi":"10.3138/cpp.2017-073","title":"Underrepresentation of Women in Canada’s Information and Communication Technology Sector: What Can We Learn from a Canadian Survey of Adult Skills?","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Impact; McMaster University; University of Lethbridge","funders":"","keywords":"Information and Communications Technology; Economic shortage; Proxy (statistics); Wage; Phenomenon; Demographic economics; Business; Labour economics; Political science; Economics; Computer science; Government (linguistics)","score_opus":0.02081819129147054,"score_gpt":0.22773201695099643,"score_spread":0.2069138256595259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901791314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370886,0.00020712029,0.000010290367,0.01101477,0.00009382887,0.00013731424,0.0026424339,0.0000040486716,0.0021813356],"genre_scores_gemma":[0.99829173,0.0005464676,0.000029993187,0.0007330219,0.000015687192,0.000012367471,0.00033639316,0.000008785702,0.00002558163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986902,0.000060856997,0.00057398557,0.00014914441,0.000038265574,0.0004875558],"domain_scores_gemma":[0.9984723,0.00006923514,0.0003303812,0.0004266002,0.00024418102,0.00045731652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061861187,0.000094875206,0.00028393595,0.0015261845,0.00007288615,0.00007955042,0.00028854285,0.00012405892,0.0001023254],"category_scores_gemma":[0.0012179549,0.00012436212,0.000013038988,0.0009849856,0.00013294832,0.0005944537,0.000037102596,0.0001163988,0.00000359504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000028098798,0.0000058147402,0.84689426,0.000012395126,0.000023015826,3.394425e-7,0.0019197059,0.0000031534541,6.376543e-7,0.14234784,0.00010526157,0.00868473],"study_design_scores_gemma":[0.00031759715,0.000017731367,0.950388,0.000020316065,8.724435e-7,6.415282e-7,0.0015217909,0.0010112218,0.000007077128,0.041617185,0.004961111,0.0001364157],"about_ca_topic_score_codex":0.9999919,"about_ca_topic_score_gemma":0.9999989,"teacher_disagreement_score":0.10349375,"about_ca_system_score_codex":0.0051583806,"about_ca_system_score_gemma":0.011850044,"threshold_uncertainty_score":0.9986606},"labels":[],"label_agreement":null},{"id":"W2902566618","doi":"","title":"Unemployment and confidence in Canada: Evidence from national and regional level data","year":2018,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Confidence interval; Causality (physics); Economics; Demographic economics; Unemployment rate; Econometrics; Panel data; Labour economics; Statistics; Macroeconomics; Mathematics","score_opus":0.1573583573256067,"score_gpt":0.25732236551837767,"score_spread":0.09996400819277096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902566618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828412,0.0015963527,0.00031769124,0.01064944,0.00026278626,0.0001267212,0.0021592004,0.0000062987533,0.002040346],"genre_scores_gemma":[0.99488753,0.0015081285,0.0014368347,0.0016933247,0.00016079855,0.000008096965,0.00007216205,0.000013506842,0.00021960454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850696,0.000022060052,0.00056101294,0.0006649513,0.000035764904,0.00020927338],"domain_scores_gemma":[0.9988988,0.00034264685,0.00023289012,0.00039184725,0.000040741554,0.00009306618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010165315,0.00013547808,0.0002834252,0.00006731199,0.00006791209,0.00008348272,0.00034463493,0.000055599583,0.0006838967],"category_scores_gemma":[0.00030376192,0.00017036607,0.000012540654,0.00005146475,0.00012203737,0.00016017415,0.00032830198,0.000111727335,0.000077595985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008018214,0.000037837966,0.478743,0.000019595482,0.00006029033,0.000006861875,0.00021370975,0.000048424303,0.000005442969,0.5062672,0.012946486,0.0015709628],"study_design_scores_gemma":[0.0007987724,0.00003602809,0.5949968,0.00007434493,0.0000042567613,0.0000071914374,0.00008779305,0.030873045,0.000012004389,0.1795651,0.19304432,0.0005003086],"about_ca_topic_score_codex":0.77323824,"about_ca_topic_score_gemma":0.79986346,"teacher_disagreement_score":0.32670212,"about_ca_system_score_codex":0.0004026344,"about_ca_system_score_gemma":0.00033140692,"threshold_uncertainty_score":0.74881893},"labels":[],"label_agreement":null},{"id":"W2903546586","doi":"10.1162/rest_a_00875","title":"Job Polarization and Jobless Recoveries","year":2019,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":341,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recession; Economics; Job loss; Labour economics; Polarization (electrochemistry); Unemployment; Demographic economics; Keynesian economics; Macroeconomics; Chemistry","score_opus":0.01776051741781363,"score_gpt":0.22274340476105944,"score_spread":0.20498288734324582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903546586","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87103647,0.106330946,0.005340346,0.001835875,0.0004554993,0.00062249455,0.0036693932,0.000009033153,0.010699962],"genre_scores_gemma":[0.39237687,0.6023053,0.0036232916,0.0009374648,0.00002930649,0.0000063434145,0.000056832476,0.00001946252,0.0006451228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991062,0.000022174816,0.0005655138,0.00018595431,0.000011011515,0.00010914259],"domain_scores_gemma":[0.9991346,0.00014394337,0.00040260967,0.0002498827,0.000033113567,0.000035868907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090245594,0.00009883861,0.0004259274,0.000031821965,0.000049653016,0.000042481795,0.00010365642,0.000036095324,0.000107261556],"category_scores_gemma":[0.000108186556,0.00008514054,0.000031021355,0.00005249661,0.00007106067,0.00009213066,0.000069380454,0.000064223415,0.000017510827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039979495,0.0000060554203,0.02591575,0.001291312,0.00002358221,8.094786e-8,0.000036500554,0.0000049070613,7.779533e-7,0.96762234,0.00006473412,0.0050299778],"study_design_scores_gemma":[0.0004334626,0.00010392688,0.088441685,0.000640005,0.000037230886,0.0000075477556,0.00003933706,0.009486448,0.0000031546062,0.8232444,0.0772005,0.0003622809],"about_ca_topic_score_codex":0.000117475334,"about_ca_topic_score_gemma":0.000026679916,"teacher_disagreement_score":0.49597436,"about_ca_system_score_codex":0.000017440147,"about_ca_system_score_gemma":0.000015749107,"threshold_uncertainty_score":0.34719306},"labels":[],"label_agreement":null},{"id":"W2903825357","doi":"10.5430/ijhe.v7n6p150","title":"Public Policy for Regulating the Interaction between Labor Market Supply and Higher Education Demand - Israel as a Case Study","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply and demand; Order (exchange); Labour economics; Economics; Split labor market theory; Secondary labor market; Labor demand; Labor relations; Higher education; Excess supply; Factor market; Business; Market economy; Economic growth; Microeconomics; Finance","score_opus":0.04632899058780536,"score_gpt":0.3474376040045803,"score_spread":0.3011086134167749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903825357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96525097,0.0005045782,0.00017997298,0.02450765,0.004900932,0.0002944982,0.000066852816,0.000007683664,0.0042868694],"genre_scores_gemma":[0.9870516,0.00003338918,0.0005114089,0.0011306875,0.0055622733,0.000037211303,0.000019191113,0.000020958918,0.0056332937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986447,0.00007961297,0.000799022,0.00021684877,0.00011364871,0.0001461411],"domain_scores_gemma":[0.9974676,0.00023796406,0.001046236,0.00018549178,0.00097214675,0.00009055588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121114,0.00013116609,0.00021074768,0.00043414978,0.00016984263,0.0003716735,0.00028640116,0.00006537277,0.00038148655],"category_scores_gemma":[0.00028038045,0.000113112765,0.00007943534,0.00021771414,0.000059231774,0.00069157657,0.000055758046,0.00015096617,0.000009496521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012245652,0.00070431246,0.63354516,0.00001675937,0.00035996726,0.000005059203,0.0012640393,0.0000015080743,0.0000150503965,0.32678956,0.004732232,0.032443885],"study_design_scores_gemma":[0.0008304522,0.00029291844,0.7259066,0.00004631121,0.00004141145,0.00033341744,0.0012707092,0.00007207483,0.000011659978,0.15475759,0.116251335,0.00018553683],"about_ca_topic_score_codex":0.001735129,"about_ca_topic_score_gemma":0.00006050327,"teacher_disagreement_score":0.17203197,"about_ca_system_score_codex":0.0003210358,"about_ca_system_score_gemma":0.0003438284,"threshold_uncertainty_score":0.46126047},"labels":[],"label_agreement":null},{"id":"W2905471913","doi":"10.3982/ecta18612","title":"Productivity Dispersion, Between‐Firm Competition, and the Labor Share","year":2022,"lang":"en","type":"preprint","venue":"Econometrica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Wage share; Labour economics; Economics; Wage; Competition (biology); Market share; Dispersion (optics); Wage dispersion; Distribution (mathematics); Efficiency wage; Macroeconomics","score_opus":0.029649677174143282,"score_gpt":0.23179385049976217,"score_spread":0.2021441733256189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905471913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89934003,0.019404305,0.00071907387,0.021717044,0.0024136002,0.0016646471,0.020453049,0.00014837451,0.03413988],"genre_scores_gemma":[0.99402714,0.0019707563,0.0002330244,0.0004267587,0.00056917843,0.0003030953,0.00077344896,0.000063369414,0.0016332481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9966778,0.00017625875,0.0012108039,0.001391968,0.00009582744,0.00044733114],"domain_scores_gemma":[0.9965644,0.0006495511,0.0011685209,0.0013674052,0.00008784207,0.00016227279],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034387226,0.00042819235,0.0012943441,0.00080540153,0.00053351943,0.0003944678,0.00092091825,0.00023654163,0.003937882],"category_scores_gemma":[0.0011824791,0.00040331038,0.00032681267,0.0011484477,0.00032789982,0.00019988458,0.0022991553,0.0011707708,0.0001236476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000477217,0.000118298616,0.3828614,0.00021015605,0.00027038762,0.0000032355467,0.00041779247,0.0001030661,6.1012706e-8,0.61374474,0.0008964769,0.0013266768],"study_design_scores_gemma":[0.0012333611,0.00004273655,0.40508026,0.000019298752,0.000041351843,0.0000020905122,0.00009178415,0.00080855057,7.5231037e-7,0.36028653,0.23171233,0.0006809625],"about_ca_topic_score_codex":0.0007400708,"about_ca_topic_score_gemma":0.00002954365,"teacher_disagreement_score":0.2534582,"about_ca_system_score_codex":0.0003898579,"about_ca_system_score_gemma":0.00007090421,"threshold_uncertainty_score":0.99984187},"labels":[],"label_agreement":null},{"id":"W2905498923","doi":"10.1016/j.labeco.2020.101940","title":"The ins and outs of involuntary part-time employment","year":2020,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Involuntary unemployment; Unemployment; Economics; Labour economics; Jump; Part-time employment; Work (physics); Dynamics (music); Macroeconomics; Psychology","score_opus":0.02454499795624287,"score_gpt":0.1944016856932709,"score_spread":0.16985668773702803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905498923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891024,0.00091449963,0.000109966895,0.005211779,0.00023612099,0.00019447226,0.00077932747,0.000018199324,0.0034331845],"genre_scores_gemma":[0.99609613,0.0013321842,0.00024435343,0.0014073723,0.00014285566,0.000016729275,0.000016790831,0.000024874173,0.0007187238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987141,0.000021986867,0.0007032193,0.00031659706,0.000016131537,0.00022794772],"domain_scores_gemma":[0.99905163,0.00011230698,0.00038643085,0.0002973796,0.000023686795,0.00012855246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005769944,0.00013809449,0.00036953285,0.0000315874,0.00010995228,0.00008048471,0.00025719064,0.00007142122,0.0001916026],"category_scores_gemma":[0.00010087099,0.00013345075,0.000076075776,0.000090127374,0.00009737089,0.00013937375,0.00016657416,0.00011536209,0.00014453846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032893968,0.000026866268,0.0601025,0.000026832195,0.0000754394,9.1361125e-7,0.0003647986,0.00007861913,0.000015091011,0.93821514,0.00011599928,0.00094489235],"study_design_scores_gemma":[0.0008574649,0.0001643768,0.04679628,0.000010778212,0.000011513526,0.0000016746255,0.00012689171,0.0038261705,0.00011049151,0.59584796,0.35181135,0.0004350482],"about_ca_topic_score_codex":0.00022161526,"about_ca_topic_score_gemma":0.00009611028,"teacher_disagreement_score":0.35169536,"about_ca_system_score_codex":0.000047558595,"about_ca_system_score_gemma":0.000023958231,"threshold_uncertainty_score":0.54419637},"labels":[],"label_agreement":null},{"id":"W2908682527","doi":"","title":"Quick, slow, and stagnant mobility: Higher education and occupational prestige over the life course","year":2015,"lang":"en","type":"article","venue":"Canadian Society for the Study of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prestige; Occupational prestige; Life course approach; Higher education; Occupational mobility; Demographic economics; Work (physics); Sociology; Relation (database); Psychology; Labour economics; Social psychology; Political science; Economics; Demography; Law; Engineering; Socioeconomic status; Philosophy","score_opus":0.04191757489292803,"score_gpt":0.2879700995697129,"score_spread":0.2460525246767849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908682527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819983,0.0086257765,0.000011288151,0.0059298635,0.0014937093,0.0009794795,0.0002955697,0.000006441193,0.0006595525],"genre_scores_gemma":[0.9935643,0.000066483604,0.00010141631,0.0015070647,0.00029172841,0.0002315766,0.00003880382,0.000015014819,0.004183633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915123,0.000026316588,0.00032407368,0.00026268486,0.00006120934,0.00017447675],"domain_scores_gemma":[0.99892235,0.00014594538,0.00022748958,0.00033815458,0.0001502366,0.00021582027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083768053,0.00011608378,0.00017323002,0.000033997145,0.000271383,0.000080556296,0.00016167709,0.000066528395,0.000068634334],"category_scores_gemma":[0.00005751698,0.00008987094,0.00006873328,0.00015114594,0.000125647,0.00013340413,0.00002889852,0.00008917806,0.0000017554219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025831057,0.00078650226,0.64261013,0.000057763875,0.000302445,3.2249623e-8,0.0074073477,0.000024507332,6.871161e-7,0.28170985,0.06535048,0.0017244193],"study_design_scores_gemma":[0.00036762306,0.00006955494,0.8561658,0.0000051725583,0.000058312104,2.330284e-7,0.0030729128,0.00016829843,1.1673205e-7,0.023625623,0.11635713,0.00010921702],"about_ca_topic_score_codex":0.06845489,"about_ca_topic_score_gemma":0.007874187,"teacher_disagreement_score":0.2580842,"about_ca_system_score_codex":0.00016424923,"about_ca_system_score_gemma":0.001042298,"threshold_uncertainty_score":0.9377484},"labels":[],"label_agreement":null},{"id":"W2910285691","doi":"10.11575/prism/34929","title":"An Examination of Alberta’s Minimum Wage","year":2018,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Labour economics; Economics; Political science","score_opus":0.03636202312439949,"score_gpt":0.2900511102232925,"score_spread":0.253689087098893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910285691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6663262,0.000076630786,0.00002224603,0.00001331587,0.00053414004,0.00027279084,0.00037502666,6.8243725e-7,0.33237895],"genre_scores_gemma":[0.9457102,0.0000478504,0.0017792332,0.000014230304,0.00011637239,0.000020469286,0.0032293666,0.000041452196,0.04904083],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982153,0.000041216346,0.0008923357,0.00059864955,0.000053238688,0.00019925748],"domain_scores_gemma":[0.99803996,0.000056407156,0.0010628238,0.0006377283,0.00012885794,0.00007421042],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012711585,0.00021869839,0.00059667055,0.00020294377,0.00006391005,0.00018470184,0.00078913657,0.00033624642,0.0074252],"category_scores_gemma":[0.00015842986,0.00025826308,0.0000950958,0.00019278373,0.00003354331,0.00038638778,0.00005411316,0.00013229475,0.0005935834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072472263,0.002534862,0.011274184,0.0005795602,0.0007452795,0.000022195187,0.04409354,0.000011340715,0.0011402471,0.17208211,0.0010256813,0.76576626],"study_design_scores_gemma":[0.0040945946,0.0018050784,0.52199,0.00066477637,0.0002211985,0.000004528284,0.0052452525,0.008205187,0.00849477,0.08130524,0.3637378,0.004231566],"about_ca_topic_score_codex":0.0014957614,"about_ca_topic_score_gemma":0.00609394,"teacher_disagreement_score":0.7615347,"about_ca_system_score_codex":0.00006192564,"about_ca_system_score_gemma":0.00006170766,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W2911342755","doi":"10.3917/rfe.181.0051","title":"Évolutions récentes du travail à temps partiel en France","year":2019,"lang":"fr","type":"article","venue":"Revue française d économie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.012606665911569096,"score_gpt":0.1909859396070086,"score_spread":0.17837927369543952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911342755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86971164,0.071244076,0.0015867988,0.01378791,0.0081938105,0.00087501487,0.0025096685,0.00009424438,0.031996828],"genre_scores_gemma":[0.8782863,0.008797029,0.0008890236,0.0008173384,0.0013939117,0.00007980664,0.000104827144,0.000109636596,0.109522104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959684,0.000098974895,0.0016882616,0.0011960313,0.00005168384,0.0009966432],"domain_scores_gemma":[0.9969841,0.0005024636,0.00079345505,0.0013159966,0.00010328195,0.0003006715],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014271807,0.000537449,0.0012948966,0.00024962428,0.00023452076,0.00024500498,0.00071601104,0.00059373426,0.005263578],"category_scores_gemma":[0.00032976802,0.0007587028,0.00058513094,0.00045506135,0.00023567124,0.0008391115,0.00019107334,0.0006509818,0.010297049],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003198484,0.00037957667,0.4509065,0.0004989187,0.00018225102,0.000015232244,0.0007849455,0.0012646128,0.000010555235,0.5334864,0.002592948,0.009846088],"study_design_scores_gemma":[0.001482104,0.00012702563,0.10240576,0.00034549023,0.000041552834,0.000018292987,0.00012680476,0.03681484,0.000014707308,0.016078642,0.8416194,0.0009254256],"about_ca_topic_score_codex":0.0031995857,"about_ca_topic_score_gemma":0.0005169735,"teacher_disagreement_score":0.8390264,"about_ca_system_score_codex":0.0004954359,"about_ca_system_score_gemma":0.00018958398,"threshold_uncertainty_score":0.9994864},"labels":[],"label_agreement":null},{"id":"W2912579950","doi":"10.3390/jrfm12010020","title":"Finance and Jobs: How Financial Markets and Prudential Regulation Shape Unemployment Dynamics","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Financial market; Financial crisis; Financial sector; Indirect finance; Financial sector development; Matching (statistics); Finance; Financial services; Labour economics; Financial system; Macroeconomics","score_opus":0.006665511491290169,"score_gpt":0.18967776669719535,"score_spread":0.1830122552059052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912579950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983757,0.002133085,0.011578435,0.0005014911,0.00079093047,0.0002946094,0.00012238447,0.000007783349,0.0008142548],"genre_scores_gemma":[0.9852692,0.01201474,0.0018538885,0.000118255266,0.0001734383,0.000004837056,0.0000059145555,0.000017845055,0.00054190995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99854285,0.000039497747,0.00067924365,0.00036116442,0.00011393726,0.00026331536],"domain_scores_gemma":[0.998736,0.00005775135,0.0008536078,0.00019588612,0.000068767,0.000087980225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987322,0.00021177123,0.0005179897,0.00026804593,0.00014098924,0.00018708839,0.00014527062,0.00012639746,0.000030291712],"category_scores_gemma":[0.00011703364,0.00021703602,0.0000918779,0.00019438376,0.000072878196,0.00037877058,0.00018340502,0.00024102208,0.0000044250487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031729246,0.000115679715,0.32948762,0.00019971924,0.000045152123,0.000034709825,0.00029303806,0.00003636028,0.0000035414023,0.47370797,0.00029327284,0.19546564],"study_design_scores_gemma":[0.0016369682,0.00020558259,0.8503708,0.00008282335,0.00004092171,0.000017394379,0.00005541343,0.0095399115,0.0000017799298,0.08838391,0.049384464,0.00028002562],"about_ca_topic_score_codex":0.000034820765,"about_ca_topic_score_gemma":0.000048524533,"teacher_disagreement_score":0.5208832,"about_ca_system_score_codex":0.00009381385,"about_ca_system_score_gemma":0.000018880148,"threshold_uncertainty_score":0.8850472},"labels":[],"label_agreement":null},{"id":"W2913169569","doi":"10.1108/ijm-04-2017-0059","title":"Unemployment invariance hypothesis, added and discouraged worker effects in Canada","year":2018,"lang":"en","type":"preprint","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Unemployment rate; Discouraged worker; Labour economics; Empirical research; Demographic economics; Macroeconomics","score_opus":0.020442261899496755,"score_gpt":0.22890196315752512,"score_spread":0.20845970125802837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913169569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860262,0.0016747663,0.0011076578,0.0028553342,0.005980311,0.00016122677,0.0002363035,0.0000034378088,0.001954744],"genre_scores_gemma":[0.9970625,0.0006502843,0.001028227,0.00059289904,0.00042009336,0.000008109264,0.000009109396,0.000024508237,0.00020429175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810326,0.000060959428,0.0011325144,0.00031190758,0.00019161536,0.00019974292],"domain_scores_gemma":[0.9979141,0.00026034887,0.001302663,0.00023224288,0.00019272245,0.00009796469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010696368,0.0002169679,0.00056631,0.00028277116,0.000020651194,0.00014158817,0.0006597681,0.00012134104,0.00023823648],"category_scores_gemma":[0.00046794373,0.00021463174,0.00011287531,0.000067821355,0.000044864235,0.00013575317,0.0003902035,0.0005462471,0.000008282042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006057037,0.00038999316,0.9221109,0.00018477088,0.0016009172,0.0013286427,0.00069504435,0.0014158152,0.000013583866,0.05805214,0.0065742196,0.007028229],"study_design_scores_gemma":[0.0017263729,0.000060576127,0.6457512,0.0008351304,0.000020687936,0.000040482882,0.00005032867,0.0018583109,0.00003275264,0.33862564,0.010477776,0.00052078656],"about_ca_topic_score_codex":0.13687041,"about_ca_topic_score_gemma":0.20941591,"teacher_disagreement_score":0.2805735,"about_ca_system_score_codex":0.0010537265,"about_ca_system_score_gemma":0.0004295964,"threshold_uncertainty_score":0.8752428},"labels":[],"label_agreement":null},{"id":"W2914933707","doi":"10.1186/s40503-019-0080-6","title":"Educational upgrading and returns to skills in Latin America: evidence from a supply–demand framework","year":2019,"lang":"en","type":"article","venue":"Latin American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"David Rockefeller Center for Latin American Studies, Harvard University; International Development Research Centre; World Bank Group","keywords":"Latin Americans; Economics; Supply side; Labour economics; Wage; Supply and demand; Fell; Explanatory power; Demographic economics; Demand side; Higher education; Rest (music); Economic growth; Macroeconomics; Political science; Geography","score_opus":0.018836768814011525,"score_gpt":0.2749534692162407,"score_spread":0.25611670040222917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914933707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629743,0.023998575,0.00032331707,0.008575198,0.00034478004,0.00077480375,0.0003592609,0.000018995004,0.0026307383],"genre_scores_gemma":[0.9241574,0.058605198,0.0117284,0.004702699,0.00013957536,0.000094441384,0.000039729566,0.000037405025,0.0004951435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743235,0.000089279296,0.0012058308,0.0008571499,0.000041777017,0.00037362936],"domain_scores_gemma":[0.99724144,0.0010872757,0.0008000387,0.0006679747,0.00001785539,0.0001854315],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085194374,0.0002683569,0.0011953107,0.00017002039,0.000043287866,0.00009588984,0.000342037,0.00006222655,0.0027479283],"category_scores_gemma":[0.00078504323,0.00030073323,0.00012253226,0.0004348816,0.000097727185,0.00025688487,0.0001468556,0.0002683713,0.0012249924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009948349,0.00003819611,0.9561476,0.00021007226,0.00003423986,8.7944943e-7,0.0005141406,0.000075619064,0.0000061504347,0.03178239,0.00042385305,0.010756904],"study_design_scores_gemma":[0.0002171046,0.00008604863,0.9198947,0.003283675,0.000013970695,0.0000013894582,0.00008111711,0.0020937098,0.000001928061,0.05627451,0.017434498,0.0006173552],"about_ca_topic_score_codex":0.003447688,"about_ca_topic_score_gemma":0.00023666996,"teacher_disagreement_score":0.03881692,"about_ca_system_score_codex":0.0003080916,"about_ca_system_score_gemma":0.00006376372,"threshold_uncertainty_score":0.9999445},"labels":[],"label_agreement":null},{"id":"W2915310347","doi":"","title":"Employment effects of on-the-job human capital acquisition","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Payroll; Index (typography); Matching (statistics); Stylized fact; Labour economics; Dreyfus model of skill acquisition; Economics; On-the-job training; Demographic economics; Computer science; Economic growth; Management","score_opus":0.034537230717748085,"score_gpt":0.297423889238322,"score_spread":0.2628866585205739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915310347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92676824,0.0001922815,0.000010128503,0.0004431732,0.00081855326,0.0009957561,0.0003868096,0.000023265395,0.07036176],"genre_scores_gemma":[0.99580884,0.0019535858,0.00008904383,0.00015852734,0.00034256,0.0002862285,0.000082017505,0.000077818964,0.0012013592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963807,0.00024669987,0.0013820264,0.0011106933,0.00013829276,0.00074162584],"domain_scores_gemma":[0.9964394,0.00086446194,0.0007019907,0.0017232243,0.00012704644,0.0001438656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043261703,0.0003781716,0.0009081349,0.0006341079,0.0002177978,0.00015890236,0.001063484,0.00049151626,0.00032579887],"category_scores_gemma":[0.00056604383,0.0003861511,0.00033150823,0.00017113567,0.00048667207,0.00008320075,0.0011053459,0.0012392466,0.000076007025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016813024,0.000899668,0.076291814,0.0009731334,0.0004987426,0.00004230931,0.0013153832,0.0009045776,0.00015182346,0.9106151,0.00020591612,0.007933439],"study_design_scores_gemma":[0.0012927644,0.0007260197,0.13323912,0.0006368653,0.000012815189,0.0000023754815,0.00015580523,0.0020004304,0.00071379234,0.85585195,0.004361217,0.0010068311],"about_ca_topic_score_codex":0.0004717652,"about_ca_topic_score_gemma":0.00021070096,"teacher_disagreement_score":0.0691604,"about_ca_system_score_codex":0.0010531042,"about_ca_system_score_gemma":0.0001277008,"threshold_uncertainty_score":0.99985904},"labels":[],"label_agreement":null},{"id":"W2916544406","doi":"10.1177/1045159518818407","title":"Problem-Solving Skills of the U.S. Workforce and Preparedness for Job Automation","year":2019,"lang":"en","type":"article","venue":"Adult Learning","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute of Education Sciences","keywords":"Workforce; Preparedness; Lifelong learning; Psychology; Political science; Medical education; Business; Economic growth; Pedagogy; Medicine; Economics","score_opus":0.009161812063532677,"score_gpt":0.21717413435422417,"score_spread":0.2080123222906915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916544406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852959,0.00016966551,0.0025240744,0.00013886989,0.00018600757,0.0003508279,0.00002036838,0.000022072958,0.011292219],"genre_scores_gemma":[0.9965782,0.000043787204,0.0012542679,0.000056586283,0.000022425238,0.000016295366,0.000004959845,0.000014491496,0.0020089953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992615,0.00002178961,0.00033961097,0.00020582933,0.00002781322,0.00014343912],"domain_scores_gemma":[0.99922365,0.00012978016,0.00038338275,0.0001781189,0.00006514699,0.00001991438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721742,0.00007517635,0.0001894457,0.00003931939,0.00009019509,0.00004035652,0.00011444577,0.000057319456,0.000024577057],"category_scores_gemma":[0.0003797419,0.00006551,0.00006166088,0.00012829535,0.000022709844,0.0001377028,0.000059469327,0.000097030905,0.000008148459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009376842,0.00001682393,0.66284597,0.00013534453,0.000017458444,3.9969688e-8,0.0020576697,0.001669639,0.000047446974,0.32788426,0.000011171746,0.00530484],"study_design_scores_gemma":[0.0017095658,0.00015630203,0.65282154,0.00036568064,0.000017183242,0.0000022310048,0.00075204845,0.20361985,0.000087514374,0.12370611,0.016263189,0.0004987863],"about_ca_topic_score_codex":0.000093678274,"about_ca_topic_score_gemma":0.000015830661,"teacher_disagreement_score":0.20417814,"about_ca_system_score_codex":0.000031341442,"about_ca_system_score_gemma":0.000012050385,"threshold_uncertainty_score":0.26714203},"labels":[],"label_agreement":null},{"id":"W2917321528","doi":"","title":"The South African labour market, 1995-2013","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Work (physics); Labour economics; Demographic economics; Economics; Government (linguistics); Unemployment rate; Cape; Geography; Economic growth","score_opus":0.04564717880162112,"score_gpt":0.28457208635650816,"score_spread":0.23892490755488704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917321528","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43610352,0.0022939756,0.00001717197,0.003321789,0.0021603473,0.0012700511,0.0023318757,0.00008179561,0.5524195],"genre_scores_gemma":[0.95335734,0.019675044,0.00033735705,0.00015913216,0.00057073846,0.0003913229,0.000084324376,0.00014625861,0.025278488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943529,0.00041231693,0.0018471879,0.0016384784,0.00019199877,0.0015571233],"domain_scores_gemma":[0.9948971,0.00090140535,0.00090047304,0.0026042364,0.0002593561,0.00043739472],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014610122,0.0005471985,0.0011255663,0.00062357343,0.00043407752,0.0008093553,0.0021830623,0.00071771664,0.00033350015],"category_scores_gemma":[0.0019830903,0.0005326681,0.0003672421,0.00037152338,0.00056497887,0.00015099329,0.002525612,0.0027284047,0.00014719214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009044397,0.0007030776,0.13324964,0.0006489307,0.0009870776,0.0001304987,0.003712939,0.008114057,0.0000024650355,0.723822,0.004990615,0.12273428],"study_design_scores_gemma":[0.00077413593,0.00007464901,0.020150585,0.00007268551,0.0000056426334,0.0000039415263,0.00093790505,0.01847416,0.0000012919844,0.4334488,0.52517265,0.00088355783],"about_ca_topic_score_codex":0.0014896276,"about_ca_topic_score_gemma":0.0014348094,"teacher_disagreement_score":0.527141,"about_ca_system_score_codex":0.0019542724,"about_ca_system_score_gemma":0.0006116681,"threshold_uncertainty_score":0.99971247},"labels":[],"label_agreement":null},{"id":"W2917536678","doi":"","title":"Rising Occupational and Industry Mobility in the United States: 1968-1993","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Occupational mobility; Earnings; Productivity; Human capital; Panel Study of Income Dynamics; Labour economics; Demographic economics; Panel data; Economics; Business; Econometrics; Economic growth; Accounting","score_opus":0.05298002092619748,"score_gpt":0.3137724933617244,"score_spread":0.26079247243552695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917536678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868808,0.00009214962,0.000020936297,0.0010577915,0.00008151186,0.00033047685,0.0001814729,0.0000109826115,0.011343881],"genre_scores_gemma":[0.9976568,0.0014174988,0.00019175076,0.00045726728,0.00005253546,0.00005549046,0.000076817996,0.000018878738,0.0000729387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979646,0.00014476542,0.00074995874,0.0005463254,0.00007369496,0.0005206128],"domain_scores_gemma":[0.998655,0.0005326814,0.00015502905,0.0005186606,0.0000439057,0.0000946758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053874413,0.00015384807,0.00030173818,0.00052877766,0.00016148709,0.00015604513,0.0003669083,0.0002519783,0.00005697997],"category_scores_gemma":[0.0006267323,0.00015335275,0.00005257132,0.00054635917,0.00026225852,0.00020172684,0.0001438333,0.0010768186,0.000008798126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101697355,0.0004102421,0.7590674,0.00004600022,0.000026798623,0.000024171863,0.001578188,0.017249398,0.0000027429146,0.21530701,0.0000065200347,0.0061798436],"study_design_scores_gemma":[0.0013527361,0.000075057054,0.7067206,0.000038151673,0.0000012552816,0.000007566889,0.0015851479,0.011097204,0.0000042940283,0.2705617,0.008262092,0.00029420815],"about_ca_topic_score_codex":0.0031582846,"about_ca_topic_score_gemma":0.001305984,"teacher_disagreement_score":0.0552547,"about_ca_system_score_codex":0.0006575228,"about_ca_system_score_gemma":0.00012582725,"threshold_uncertainty_score":0.6253544},"labels":[],"label_agreement":null},{"id":"W2918287847","doi":"","title":"The Effects of Cognitive Bias and Employment Equity Policy Interventions in the Hiring Process","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Psychological intervention; Process (computing); Business; Labour economics; Public economics; Psychology; Economics; Political science; Computer science","score_opus":0.06030135069863361,"score_gpt":0.3536257413428386,"score_spread":0.29332439064420496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918287847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96762496,0.0017559376,0.000111329355,0.00018849043,0.0003257276,0.00057880266,0.000113088405,0.000007577739,0.029294092],"genre_scores_gemma":[0.99653596,0.0008648405,0.0000088494,0.000077700824,0.000066358036,0.000121592006,0.000101754486,0.000015316602,0.0022076208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987531,0.000058536796,0.00067571126,0.00026080947,0.000054965778,0.00019692871],"domain_scores_gemma":[0.99841887,0.0006854919,0.0005727144,0.00020980892,0.00008832106,0.00002481411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016170287,0.00015246561,0.00031558695,0.00018077009,0.00013387589,0.000115408104,0.0002942366,0.00011024844,0.000019130497],"category_scores_gemma":[0.0018165922,0.000102415965,0.0001327105,0.00029139797,0.00007188032,0.000073307565,0.00006700432,0.00018144374,0.0000062005956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012786007,0.0004317473,0.033285968,0.0032586115,0.00027124275,0.0000035743824,0.012216247,6.551523e-7,0.0000035007506,0.918114,0.00008827448,0.032198295],"study_design_scores_gemma":[0.00092152617,0.0003374726,0.47585902,0.0017714583,0.000052924082,0.0000011673848,0.004041358,0.00021763591,0.00015519018,0.5158239,0.00041679078,0.0004015508],"about_ca_topic_score_codex":0.0015700188,"about_ca_topic_score_gemma":0.0071293833,"teacher_disagreement_score":0.44257304,"about_ca_system_score_codex":0.00005283462,"about_ca_system_score_gemma":0.000043622636,"threshold_uncertainty_score":0.41764018},"labels":[],"label_agreement":null},{"id":"W2921635752","doi":"10.3406/ecop.2017.8221","title":"Que nous apprennent les données de branches sur les premiers effets du CICE ? Évaluation pour la période 2014-2015t2","year":2017,"lang":"en","type":"article","venue":"Économie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Valuation (finance); Quarter (Canadian coin); Econometric analysis; Welfare economics; Labour economics; Econometrics; Geography; Accounting","score_opus":0.04088466725364975,"score_gpt":0.23574893034281175,"score_spread":0.194864263089162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921635752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745621,0.0013531357,0.009750743,0.0032818636,0.00056124874,0.00036728475,0.00016802072,0.00007577496,0.009879828],"genre_scores_gemma":[0.9935399,0.0031144896,0.0018667694,0.00011475538,0.00032545225,0.000050512972,0.000046284695,0.000054140288,0.0008876582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978572,0.00013538937,0.0007724414,0.0007139754,0.00006459648,0.00045636558],"domain_scores_gemma":[0.99736816,0.0004379139,0.00093358,0.0009902025,0.00010741298,0.00016274473],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031456926,0.00031795097,0.00056420825,0.00016304015,0.0006647347,0.0005698291,0.00070475985,0.00032563644,0.00021130325],"category_scores_gemma":[0.0011650892,0.00034601535,0.00022166024,0.00004143714,0.00013531641,0.0006088872,0.00024232382,0.00027438637,0.00026294298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002177638,0.000459961,0.75456583,0.0002062293,0.00015996117,0.000015605281,0.0012686404,0.0011840428,0.00050460815,0.11840651,0.0048799324,0.118130915],"study_design_scores_gemma":[0.002908453,0.00011557675,0.754055,0.00017501687,0.00004173071,0.000013816653,0.00010110285,0.07770289,0.0005091034,0.0744013,0.08899047,0.0009855479],"about_ca_topic_score_codex":0.0052020703,"about_ca_topic_score_gemma":0.0010475819,"teacher_disagreement_score":0.11714537,"about_ca_system_score_codex":0.00036431887,"about_ca_system_score_gemma":0.00012884519,"threshold_uncertainty_score":0.9998992},"labels":[],"label_agreement":null},{"id":"W2930641779","doi":"10.1007/978-3-030-03457-3_9","title":"The Labor Market Value of Higher Education: Now and in the Future","year":2019,"lang":"en","type":"book-chapter","venue":"Higher education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Certificate; Investment (military); Economics; Labour economics; Value (mathematics); Higher education; Bachelor; Quarter (Canadian coin); Demographic economics; Rate of return; Actuarial science; Accounting; Finance; Economic growth; Political science","score_opus":0.013014162866098203,"score_gpt":0.23699989456004847,"score_spread":0.22398573169395025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930641779","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0121637555,0.04368246,0.000001176883,0.022801092,0.009491639,0.0006196793,0.00026314988,0.000010316755,0.91096675],"genre_scores_gemma":[0.12053796,0.00434813,0.000066975466,0.0016786591,0.0014200433,0.00005132861,0.00009686261,0.00004158288,0.87175846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871635,0.00004196864,0.0006211656,0.00037739694,0.00007768108,0.00016543771],"domain_scores_gemma":[0.99826705,0.00018978691,0.0006479414,0.0007531768,0.00010472676,0.000037339156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080866314,0.00023066037,0.00034485993,0.00013623954,0.000087556306,0.000109519446,0.00037852523,0.0002796338,0.0014447925],"category_scores_gemma":[0.000010781683,0.00017202077,0.00008850194,0.00010689055,0.00007965676,0.00010447782,0.000048694706,0.0003204171,0.000086010165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016789872,0.000071058064,0.011225758,0.000087443885,0.000027198974,1.203878e-7,0.00008939087,4.7273193e-7,2.2998898e-7,0.9560593,0.031104948,0.0013173044],"study_design_scores_gemma":[0.00006433731,0.000009316288,0.23686615,0.000034166886,0.000008617385,6.158749e-7,0.000021117034,0.0000029839493,8.00978e-8,0.23140903,0.53146666,0.00011694508],"about_ca_topic_score_codex":0.00008036402,"about_ca_topic_score_gemma":0.00007166868,"teacher_disagreement_score":0.72465026,"about_ca_system_score_codex":0.00012315607,"about_ca_system_score_gemma":0.00031846555,"threshold_uncertainty_score":0.999468},"labels":[],"label_agreement":null},{"id":"W2938438990","doi":"10.1111/caje.12386","title":"Increasing earnings inequality and the gender pay gap in Canada: Prospects for convergence","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Convergence (economics); Gender pay gap; Inequality; Economics; Representation (politics); Gender inequality; Labour economics; Demographic economics; Gender equality; Gender gap; Political science; Sociology; Economic growth; Wage; Accounting","score_opus":0.10108224410463183,"score_gpt":0.18194501601300492,"score_spread":0.08086277190837309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938438990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330074,0.0004905747,0.000081350554,0.0025298116,0.0014594113,0.0006369014,0.00046573332,0.0000022880126,0.0010332158],"genre_scores_gemma":[0.99818826,0.00017035592,0.00027254684,0.0009547138,0.00017934565,0.000025804802,0.000010683584,0.000040308278,0.00015800307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972775,0.00009491829,0.0014640051,0.00043635827,0.0000028585503,0.00072438916],"domain_scores_gemma":[0.9969739,0.000569738,0.0011977724,0.0003898675,0.00012865517,0.0007400713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041204193,0.00025585643,0.0009679425,0.00035138227,0.00012831947,0.00012821045,0.0004842703,0.00012603811,0.00018708727],"category_scores_gemma":[0.0008396303,0.0002407157,0.00015609301,0.00014837494,0.00014218119,0.00034993523,0.000033448716,0.00041683597,0.0000067280316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104695166,0.0000027753629,0.45844826,0.000047127905,0.000046651563,0.00001044272,0.000466707,0.00066132535,5.920378e-7,0.5400774,0.000022299695,0.00011170844],"study_design_scores_gemma":[0.0034331144,0.00009545454,0.21422099,0.00006314452,0.0000163254,0.00014422345,0.00058819394,0.015429151,0.0000050861677,0.7564596,0.008999855,0.0005448381],"about_ca_topic_score_codex":0.98778546,"about_ca_topic_score_gemma":0.9996055,"teacher_disagreement_score":0.24422728,"about_ca_system_score_codex":0.003460839,"about_ca_system_score_gemma":0.0037024652,"threshold_uncertainty_score":0.9816101},"labels":[],"label_agreement":null},{"id":"W2938795287","doi":"","title":"Non-DVM wages and trends across Canada.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Demographic economics; Economics","score_opus":0.02930173073665015,"score_gpt":0.22410477258082256,"score_spread":0.1948030418441724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938795287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495286,0.00027382415,0.000023928975,0.003257168,0.00060996163,0.00009894713,0.0005773318,0.000010853185,0.04561941],"genre_scores_gemma":[0.99188906,0.00010404702,0.000020837966,0.00023738109,0.00010321049,0.00012469938,0.0000081891,0.000013000405,0.0074995924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902445,0.0000040534633,0.00026439325,0.00028937066,0.000029758143,0.00038796384],"domain_scores_gemma":[0.99906,0.000020503794,0.00025428823,0.0005156848,0.000017484088,0.00013207993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006459516,0.000104215476,0.00024211711,0.000024163517,0.00034910964,0.00028871227,0.00028485036,0.000055983808,0.000029648312],"category_scores_gemma":[0.00016560809,0.00011181183,0.00003469215,0.000045063214,0.00006614788,0.00018221697,0.0001456336,0.00008634858,0.0000041469293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012580817,0.00002526726,0.7452428,0.000023111623,0.000050361225,0.000016797976,0.00010641468,0.0000014558041,3.279557e-7,0.0427772,0.0016335443,0.21011016],"study_design_scores_gemma":[0.00030755854,0.000002228568,0.9350993,0.0000011545768,0.0000016918328,0.000001103483,0.000010860732,0.00017485741,0.000005174116,0.006333451,0.05791103,0.00015159717],"about_ca_topic_score_codex":0.30336994,"about_ca_topic_score_gemma":0.4741104,"teacher_disagreement_score":0.20995857,"about_ca_system_score_codex":0.0000801902,"about_ca_system_score_gemma":0.000010566084,"threshold_uncertainty_score":0.701269},"labels":[],"label_agreement":null},{"id":"W2940944569","doi":"10.2139/ssrn.3344578","title":"The Effects of Austerity Measures on Gender Gaps in Labor Market Outcomes","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Department for International Development; Université Laval","keywords":"Austerity; Economics; Labour economics; Demographic economics; Political science","score_opus":0.010192473222427232,"score_gpt":0.2218154999127274,"score_spread":0.21162302669030017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940944569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98803824,0.004065258,0.00015358081,0.0006063096,0.00068915385,0.00020740906,0.000019246549,0.0000069891926,0.006213805],"genre_scores_gemma":[0.99144644,0.005886911,0.000011209882,0.00016072318,0.00004406695,0.000006099868,9.704213e-7,0.000018844403,0.0024247614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978295,0.00011351413,0.000599989,0.00021894633,0.0000941923,0.0011438484],"domain_scores_gemma":[0.9988062,0.00037992158,0.0003968848,0.00032787642,0.00004560289,0.00004353937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004766311,0.00015070193,0.00038540407,0.00014045143,0.00008525425,0.000055771477,0.00035940798,0.00008568436,0.000049224956],"category_scores_gemma":[0.00046028363,0.00011331353,0.00014892388,0.0001972718,0.000032211592,0.0001079238,0.000042144628,0.0009984521,0.00003893899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000756544,0.000063881045,0.44859344,0.000025517684,0.000098825316,0.0000012812698,0.000058109596,0.0000092303535,0.00001717394,0.5497254,0.000022679647,0.0013087753],"study_design_scores_gemma":[0.0008945886,0.00017568514,0.43382803,0.000016897042,0.0000043644677,0.000005846834,0.00009680314,0.00011792516,0.000015739499,0.56280655,0.0019008081,0.00013677086],"about_ca_topic_score_codex":0.00013933465,"about_ca_topic_score_gemma":0.00061232294,"teacher_disagreement_score":0.014765425,"about_ca_system_score_codex":0.000530106,"about_ca_system_score_gemma":0.00022063567,"threshold_uncertainty_score":0.46207917},"labels":[],"label_agreement":null},{"id":"W2943250303","doi":"","title":"Analyse de l'efficacité d'action emploi par régression discontinue","year":2013,"lang":"fr","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Political science; Economics; Physics","score_opus":0.01487859910135386,"score_gpt":0.1983623751278225,"score_spread":0.18348377602646865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943250303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96118134,0.008036144,0.0039713867,0.009283572,0.0022392622,0.000587944,0.0007262513,0.00016820453,0.013805905],"genre_scores_gemma":[0.89873147,0.018198512,0.0008564247,0.00026298343,0.00031821875,0.00000441543,0.00017506068,0.000094662435,0.08135825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99637806,0.00026593736,0.0007496039,0.0011993679,0.00020368819,0.0012033152],"domain_scores_gemma":[0.99679536,0.00021901263,0.0010310337,0.0010031848,0.0003130837,0.0006383008],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006799488,0.0006491471,0.0010187456,0.0007924593,0.0008728556,0.00023898858,0.0009919496,0.0007026785,0.001281552],"category_scores_gemma":[0.00011985905,0.00087421207,0.0006800784,0.0013935227,0.00029282083,0.0016723009,0.0005752707,0.00079989975,0.0005335646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036938695,0.0008877856,0.73310256,0.00028991286,0.00091487856,0.0006621881,0.0075606434,0.0008171076,0.005660861,0.113170125,0.006966387,0.12959819],"study_design_scores_gemma":[0.0050385194,0.0005402495,0.66343796,0.00048725388,0.00065980357,0.00010381424,0.005274112,0.020779317,0.003670479,0.029957606,0.2674945,0.0025563666],"about_ca_topic_score_codex":0.065405965,"about_ca_topic_score_gemma":0.013295062,"teacher_disagreement_score":0.26052812,"about_ca_system_score_codex":0.0023252429,"about_ca_system_score_gemma":0.00021804226,"threshold_uncertainty_score":0.9996314},"labels":[],"label_agreement":null},{"id":"W2943845719","doi":"10.1596/1813-9450-8851","title":"The Apprenticeship-to-Work Transition: Experimental Evidence from Ghana","year":2019,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Apprenticeship; Work (physics); Transition (genetics); School-to-work transition; Sociology; Engineering; Geography; Pedagogy; Mechanical engineering; Chemistry; Vocational education; Archaeology","score_opus":0.0347514673732791,"score_gpt":0.23725277619948995,"score_spread":0.20250130882621084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943845719","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041779023,0.01597096,0.0010961975,0.0021674854,0.0069923876,0.0021976938,0.0016584228,0.00026169184,0.9278761],"genre_scores_gemma":[0.2890365,0.000108642154,0.00038929618,0.0011225545,0.0012231765,0.00013847213,0.0002033506,0.0001838518,0.70759416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99555093,0.000117820484,0.0016741083,0.0015413616,0.00028248015,0.0008333136],"domain_scores_gemma":[0.9956516,0.00100584,0.0010376592,0.0019246883,0.00009792941,0.00028229543],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017926183,0.0007949558,0.0011965137,0.0003622733,0.0005537249,0.0009500824,0.0017717968,0.00042756664,0.0008460606],"category_scores_gemma":[0.00012034773,0.00076925464,0.0006033353,0.0002237771,0.0002088324,0.00025940957,0.00038684564,0.0010679547,0.0017077118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007731325,0.00021842045,0.0016058689,0.00035640463,0.0011970296,0.00006861432,0.010745478,0.00013508766,0.000069156304,0.8878761,0.08906049,0.007894246],"study_design_scores_gemma":[0.0007386117,0.000108463835,0.0009024362,0.001505386,0.0000972973,0.0000018816266,0.00014758528,0.0003117377,0.00018764377,0.11728973,0.8768315,0.0018777584],"about_ca_topic_score_codex":0.00048106097,"about_ca_topic_score_gemma":0.00090221886,"teacher_disagreement_score":0.787771,"about_ca_system_score_codex":0.0007956875,"about_ca_system_score_gemma":0.0002029662,"threshold_uncertainty_score":0.99947584},"labels":[],"label_agreement":null},{"id":"W2943883325","doi":"10.3386/w25834","title":"Pay Transparency and the Gender Gap","year":2019,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"","keywords":"Transparency (behavior); Gender pay gap; Gender gap; Business; Economics; Demographic economics; Computer science; Labour economics; Computer security","score_opus":0.3806068888282277,"score_gpt":0.44468295615774384,"score_spread":0.06407606732951615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943883325","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11248778,0.0063203587,0.00060320314,0.009540574,0.0015434045,0.0017954881,0.0021190082,0.000022659484,0.8655675],"genre_scores_gemma":[0.9948281,0.0024063608,0.00015932006,0.000090050125,0.00026575694,0.00010432644,0.0001731578,0.000029579358,0.0019433371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974685,0.00018517641,0.001087177,0.00072076154,0.00019106777,0.00034732732],"domain_scores_gemma":[0.9974055,0.0011510836,0.00048608443,0.00059796055,0.0002850439,0.00007427936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010161726,0.00020467838,0.00070627447,0.0004345307,0.00011711973,0.00015388845,0.00074718863,0.00033505258,0.00057488517],"category_scores_gemma":[0.0005003019,0.00015861327,0.00022377825,0.000111475994,0.00048205507,0.000110947425,0.00049889577,0.0010421304,0.00020262605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009313989,0.000036915648,0.011083586,0.00018714624,0.00016516198,4.1902808e-7,0.00026059308,0.0013506394,9.480548e-7,0.9859014,0.0007633303,0.00015673011],"study_design_scores_gemma":[0.001066672,0.0000169114,0.0077151274,0.000021879803,0.0000050961744,0.0000011806228,0.000027798204,0.016196685,0.000003061512,0.97255206,0.0022059996,0.00018752227],"about_ca_topic_score_codex":0.0016174858,"about_ca_topic_score_gemma":0.00007326556,"teacher_disagreement_score":0.8823403,"about_ca_system_score_codex":0.0003737152,"about_ca_system_score_gemma":0.00036543314,"threshold_uncertainty_score":0.6468062},"labels":[],"label_agreement":null},{"id":"W2944665584","doi":"10.1111/caje.70050","title":"Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data","year":2019,"lang":"en","type":"report","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Institution; Business; Economics; Political science","score_opus":0.3987323618873041,"score_gpt":0.25088183548988624,"score_spread":0.14785052639741786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944665584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92308,0.027151424,0.00017620513,0.001657997,0.00815366,0.00061808183,0.02814491,0.00000907215,0.011008619],"genre_scores_gemma":[0.97108436,0.022429375,0.00077059184,0.00027871193,0.00226724,0.000016475558,0.00081361097,0.0001388602,0.0022007534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943216,0.00008416707,0.0031139308,0.0015113387,0.0000080441,0.0009609173],"domain_scores_gemma":[0.9906626,0.00055484264,0.0040681874,0.0021955862,0.00056216103,0.00195664],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038594957,0.000722675,0.002273738,0.0010451289,0.0002410657,0.0005932374,0.0022023458,0.0009545783,0.0009149049],"category_scores_gemma":[0.0019127509,0.00093863014,0.00032103952,0.000193537,0.0003771422,0.0015205372,0.00022175415,0.001345169,0.00009957052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00024887457,0.000059481277,0.19599417,0.00067838765,0.0022021155,0.0008997649,0.0019157737,0.0005996462,0.00000324479,0.76887465,0.024425985,0.004097888],"study_design_scores_gemma":[0.0009848987,0.00035705886,0.018809158,0.0012761976,0.00014801088,0.0005726635,0.00021138506,0.0010997204,0.000005120585,0.3085607,0.66632116,0.001653934],"about_ca_topic_score_codex":0.4886313,"about_ca_topic_score_gemma":0.961625,"teacher_disagreement_score":0.6418952,"about_ca_system_score_codex":0.0058794287,"about_ca_system_score_gemma":0.011913783,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null},{"id":"W2944781204","doi":"10.1111/caje.12377","title":"Wage–vacancy contracts and multiplicity of equilibria in a directed search model of the labour market","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Multiplicity (mathematics); Economics; Labour economics; Vacancy defect; Physics; Mathematics; Condensed matter physics; Geometry","score_opus":0.08926839036717202,"score_gpt":0.18394506858712484,"score_spread":0.09467667821995282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944781204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993985,0.0004314794,0.000020380709,0.00073168107,0.0005371711,0.00037950758,0.0015300708,0.0000024105668,0.0023823064],"genre_scores_gemma":[0.9986508,0.00020546456,0.0003174949,0.0001707772,0.000056991546,0.000004655258,0.0000035535693,0.000036622176,0.00055363326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973813,0.00007696308,0.0016192674,0.00034942242,0.000003672989,0.00056935474],"domain_scores_gemma":[0.99721724,0.0002309911,0.0012704906,0.0005225198,0.00017241313,0.0005863388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020178675,0.00022573433,0.0010395783,0.0006117582,0.000047792673,0.000047266734,0.0006152974,0.00020800828,0.00022859107],"category_scores_gemma":[0.00042335247,0.00024554526,0.00021071694,0.00023138466,0.0001680011,0.00034404683,0.00006335318,0.00040614197,0.0000026553919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098839955,0.000023261102,0.4396512,0.00010495434,0.00008900248,0.000006845085,0.000750635,0.006580009,0.00012016838,0.55221426,0.000020786169,0.00034004712],"study_design_scores_gemma":[0.002560726,0.00018678932,0.3349563,0.00024645758,0.000017610868,0.00004151005,0.00022494388,0.2561955,0.00019588717,0.40403923,0.00081245287,0.0005225844],"about_ca_topic_score_codex":0.20307413,"about_ca_topic_score_gemma":0.8475152,"teacher_disagreement_score":0.64444107,"about_ca_system_score_codex":0.0008385856,"about_ca_system_score_gemma":0.0010870598,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W2946234951","doi":"10.1257/pandp.20191053","title":"New Evidence on the Cyclicality of Employer-to-Employer Flows from Canada","year":2019,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recession; Labour economics; Sample (material); Economics; Great recession; Quality (philosophy); Job creation; Demographic economics; Business; Macroeconomics","score_opus":0.02357877940979368,"score_gpt":0.20777726042187153,"score_spread":0.18419848101207786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946234951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784376,0.00028710705,0.000009311315,0.005369355,0.00021145896,0.0002426549,0.000145622,0.00001149968,0.015285389],"genre_scores_gemma":[0.99646467,0.00013920413,0.00019776661,0.002365998,0.00007353322,0.000008211565,0.0000026672508,0.000015707708,0.00073225977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886525,0.00000633466,0.00040798643,0.00041171172,0.00008733296,0.00022137233],"domain_scores_gemma":[0.9991497,0.000255699,0.00018768772,0.00022104202,0.000046114037,0.00013979757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050683005,0.00014919198,0.0003320724,0.000035080826,0.00006599298,0.00007169347,0.0002751664,0.00006834226,0.0006116944],"category_scores_gemma":[0.00029900615,0.00011691864,0.00005283394,0.00019511888,0.000020092815,0.000119566124,0.000086384294,0.00014317947,0.000037511487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007323256,0.000017945471,0.82069993,0.000038915045,0.000049956252,6.31885e-7,0.00054973323,0.000003877355,0.0008157609,0.17253524,0.0032708,0.0019439964],"study_design_scores_gemma":[0.00036107507,0.00016893786,0.8939203,0.0001378282,0.000011542463,6.659565e-7,0.00016571334,0.00020806045,0.00034169672,0.048714988,0.055574216,0.00039498205],"about_ca_topic_score_codex":0.3818269,"about_ca_topic_score_gemma":0.028870601,"teacher_disagreement_score":0.3529563,"about_ca_system_score_codex":0.000066937806,"about_ca_system_score_gemma":0.00006382193,"threshold_uncertainty_score":0.98885},"labels":[],"label_agreement":null},{"id":"W2947490251","doi":"","title":"Projecting the U.S. gender wage gap 2000–40","year":2003,"lang":"en","type":"article","venue":"Deakin Research Online (Deakin University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Wage; Panel Study of Income Dynamics; Educational attainment; Census; Demographic economics; Economics; Distribution (mathematics); Current Population Survey; Gender pay gap; Gender gap; Order (exchange); Population; Labour economics; Sociology; Economic growth; Demography","score_opus":0.17371206809746711,"score_gpt":0.3210741672680593,"score_spread":0.1473620991705922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947490251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8387481,0.00027029216,0.0018604678,0.0012418783,0.0002962718,0.0005802385,0.0004119528,0.00007718407,0.15651362],"genre_scores_gemma":[0.9916412,0.00015970903,0.001070385,0.00016966957,0.00014235941,0.0000037047446,0.000041626536,0.00004159536,0.0067297416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970641,0.00052916195,0.00047150708,0.0007471365,0.00023513868,0.0009529607],"domain_scores_gemma":[0.99793035,0.00050542003,0.00023794892,0.00085334835,0.00028678594,0.00018616252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046618236,0.00023550418,0.00036719505,0.00084210344,0.00077408046,0.00017632495,0.0009519659,0.00019408886,0.0006805964],"category_scores_gemma":[0.0011537545,0.00022511349,0.00018867389,0.0023356597,0.00028049375,0.00030596298,0.00033255166,0.001031537,0.00024044518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005022834,0.00022621761,0.023884734,0.00002877981,0.00007422459,0.00011163288,0.00024251269,0.00005882737,0.00001752838,0.9744526,0.0004702098,0.00038250754],"study_design_scores_gemma":[0.0008530437,0.00007590024,0.021973403,0.000019256744,0.000009221459,0.000011657481,0.00081718323,0.002093303,0.000026851878,0.06214968,0.911551,0.00041951577],"about_ca_topic_score_codex":0.0026137135,"about_ca_topic_score_gemma":0.0006548862,"teacher_disagreement_score":0.9123029,"about_ca_system_score_codex":0.00056378683,"about_ca_system_score_gemma":0.00028333513,"threshold_uncertainty_score":0.9179862},"labels":[],"label_agreement":null},{"id":"W2950413592","doi":"10.2139/ssrn.3050663","title":"Literacy, Numeracy, Technology Skill and Labour Market Outcomes among Indigenous Peoples in Canada","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Numeracy; Literacy; Indigenous; Financial literacy; Demographic economics; Labour economics; Economics; Political science; Economic growth","score_opus":0.004789920715485585,"score_gpt":0.21010690350412245,"score_spread":0.20531698278863686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950413592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383044,0.0028892776,0.00017236001,0.0015813261,0.00032973537,0.00012437844,0.00010615062,0.000009464759,0.0009568873],"genre_scores_gemma":[0.9905208,0.0076543954,0.00007080646,0.000120602905,0.000055601948,0.000008264113,0.0000031113054,0.000026106482,0.0015403325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997191,0.00003202804,0.00066172634,0.0003363236,0.00006374107,0.0017151859],"domain_scores_gemma":[0.99856055,0.00008075121,0.00073660805,0.00047399043,0.000053449465,0.0000946781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019444184,0.00020660831,0.0005112378,0.00029591634,0.00046598763,0.0002826269,0.00062890205,0.00012122258,0.00007441484],"category_scores_gemma":[0.00047952036,0.00020993913,0.000063602645,0.00013405392,0.00007287939,0.00047159736,0.00015377332,0.0013126932,0.0000053139606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011316279,0.000026532418,0.8371576,0.000009536353,0.00006521223,0.000023592607,0.00018875905,0.0000023498594,3.5516882e-7,0.15799215,0.0000064358737,0.004516119],"study_design_scores_gemma":[0.00047419823,0.000027547005,0.6508903,0.000012006834,0.0000029031578,0.00005210676,0.00050996547,0.00011862401,6.5881665e-7,0.34734416,0.0003899725,0.00017759293],"about_ca_topic_score_codex":0.7847978,"about_ca_topic_score_gemma":0.9810638,"teacher_disagreement_score":0.19626604,"about_ca_system_score_codex":0.0018019392,"about_ca_system_score_gemma":0.0022394182,"threshold_uncertainty_score":0.8561069},"labels":[],"label_agreement":null},{"id":"W2951602519","doi":"10.5539/ijef.v11n7p75","title":"Causes of Involuntary Unemployment in Brazil","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Involuntary unemployment; Economics; Marital status; Demographic economics; Sample (material); Logit; Perspective (graphical); Work (physics); Race (biology); Logistic regression; Economic growth; Demography; Sociology; Econometrics; Population","score_opus":0.017421824500772298,"score_gpt":0.23618366782491126,"score_spread":0.21876184332413898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951602519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950112,0.0012794351,0.00005652605,0.00090896146,0.000980297,0.0000693879,0.00012267365,7.530579e-7,0.0015707416],"genre_scores_gemma":[0.9918259,0.007223917,0.00050669775,0.00019808869,0.00006735902,0.0000016962106,0.0000032052528,0.000008790253,0.00016437403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99878687,0.000008501787,0.00093025435,0.00014697449,0.000025427324,0.00010197541],"domain_scores_gemma":[0.9988798,0.00004749804,0.0008553346,0.000113086346,0.00008180968,0.000022459193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006135833,0.00008454921,0.00035090168,0.00023554437,0.000007831296,0.000028353297,0.00026808077,0.000050009443,0.00005919527],"category_scores_gemma":[0.000036999758,0.00009404744,0.00008162334,0.00005428454,0.0000353465,0.00027078303,0.000066881206,0.00010974649,0.00000971846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009554916,0.0001021711,0.3854762,0.000012889818,0.00007563413,0.0000095800715,0.00016094037,0.0046811234,0.000022243725,0.608223,0.0000314649,0.0011091937],"study_design_scores_gemma":[0.0033808686,0.0003097379,0.37053573,0.00018137321,0.0000065176337,0.00006739552,0.000094701965,0.015889106,0.00035784714,0.54633754,0.062424187,0.0004149924],"about_ca_topic_score_codex":0.00021568274,"about_ca_topic_score_gemma":0.00009045942,"teacher_disagreement_score":0.062392723,"about_ca_system_score_codex":0.00009853475,"about_ca_system_score_gemma":0.000036672198,"threshold_uncertainty_score":0.38351434},"labels":[],"label_agreement":null},{"id":"W2952158612","doi":"10.1177/0891243219854436","title":"Gender Differences in the Provision of Job-Search Help","year":2019,"lang":"en","type":"article","venue":"Gender & Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Preference; Inequality; Set (abstract data type); Perspective (graphical); General Social Survey; Psychology; Demographic economics; Social psychology; China; Survey data collection; Economics; Political science; Computer science; Microeconomics","score_opus":0.07220420700921176,"score_gpt":0.25864704625275586,"score_spread":0.1864428392435441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952158612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98458177,0.00081554713,0.0007155798,0.00027503818,0.00018511742,0.00028285614,0.00007993933,0.000009293686,0.0130548645],"genre_scores_gemma":[0.9985721,0.0003948051,0.000319671,0.0003804692,0.00004363582,0.000010932433,0.000009002821,0.000011207647,0.00025816011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880445,0.00005375486,0.00044735862,0.0003211888,0.00010030934,0.00027292199],"domain_scores_gemma":[0.9992734,0.00010236777,0.00014445507,0.00041559263,0.000035279132,0.000028856599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018008468,0.000113771835,0.00028957304,0.00003771403,0.000051774008,0.000046311598,0.00037038393,0.00010708216,0.00027394763],"category_scores_gemma":[0.000023187895,0.00008790452,0.00019753062,0.0002766198,0.000051804116,0.00010531415,0.00009533921,0.00022298927,0.00007457448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066784564,0.00008765531,0.836429,0.00010235262,0.00003559142,4.491124e-7,0.010370108,0.000014658352,0.000053481785,0.15235975,0.00024896438,0.00029130315],"study_design_scores_gemma":[0.0004245158,0.00003366313,0.9177315,0.000005746782,0.000002487055,6.4923586e-7,0.0036661508,0.0037904584,0.000014154763,0.07344623,0.0007274268,0.00015697838],"about_ca_topic_score_codex":0.0003015365,"about_ca_topic_score_gemma":0.000014116618,"teacher_disagreement_score":0.08130254,"about_ca_system_score_codex":0.00005598027,"about_ca_system_score_gemma":0.00003432032,"threshold_uncertainty_score":0.3584642},"labels":[],"label_agreement":null},{"id":"W2952731636","doi":"10.2307/j.ctvbj7k3q.10","title":"Wage discrimination at career entry in Switzerland:","year":2016,"lang":"en","type":"book-chapter","venue":"Verlag Barbara Budrich eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Labour economics; Demographic economics; Psychology; Economics; Sociology","score_opus":0.02827016771381562,"score_gpt":0.20872060713523516,"score_spread":0.18045043942141953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952731636","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019688679,0.001265664,0.00018637958,0.00020504466,0.0011272941,0.00054245326,0.0014927005,0.0000804977,0.9754113],"genre_scores_gemma":[0.35917845,0.0003212275,0.000042698994,0.00022254375,0.00027950792,0.000042709165,0.00013477982,0.0001256037,0.6396525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966964,0.000026173666,0.0013780781,0.001105767,0.00016525875,0.00062832655],"domain_scores_gemma":[0.99781954,0.00013479295,0.00079673855,0.0009813618,0.00008159795,0.0001859449],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007998758,0.0006362532,0.0010488695,0.00062571536,0.00012757712,0.000103755556,0.0005209527,0.00076846057,0.0013964629],"category_scores_gemma":[0.00007685586,0.00062411424,0.00034373222,0.000043879925,0.0001206122,0.00014182576,0.00034488598,0.0004945268,0.0012947274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060263592,0.00002738106,0.0040585673,0.00009396606,0.000084587344,0.00008032055,0.00032754874,0.0000017452942,0.000021279107,0.98967737,0.0006345808,0.004932414],"study_design_scores_gemma":[0.0015692078,0.00010243412,0.0059658745,0.00031756327,0.000039369887,0.000009575884,0.000010726469,0.00014441744,0.000022256627,0.5408754,0.4495038,0.001439422],"about_ca_topic_score_codex":0.00016378368,"about_ca_topic_score_gemma":0.00075807783,"teacher_disagreement_score":0.44886923,"about_ca_system_score_codex":0.0010443733,"about_ca_system_score_gemma":0.000064422406,"threshold_uncertainty_score":0.99962103},"labels":[],"label_agreement":null},{"id":"W2953054851","doi":"10.17848/wp19-305","title":"Search and Multiple Jobholding","year":2019,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Institut für Arbeitsmarkt- und Berufsforschung; W.E. Upjohn Institute for Employment Research","keywords":"Worry; Labour economics; Economics; Psychology","score_opus":0.09283594274427034,"score_gpt":0.28202616911364703,"score_spread":0.18919022636937669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953054851","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26778135,0.004348912,0.0009927031,0.00024051823,0.0019381226,0.00039375006,0.0010896365,0.00006247486,0.7231525],"genre_scores_gemma":[0.9294888,0.0063875816,0.0004434097,0.00011785547,0.00028708042,0.000005748708,0.000117654046,0.00006450491,0.06308737],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809575,0.00001626241,0.00074178865,0.00069176574,0.00010426581,0.0003501494],"domain_scores_gemma":[0.99882513,0.00014313037,0.00025260955,0.00055342744,0.00012546314,0.000100211815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025321192,0.00024553208,0.00075337593,0.0002626193,0.000068516754,0.00016750615,0.00021365243,0.00036732305,0.000772384],"category_scores_gemma":[0.0004330105,0.0002600871,0.00013841318,0.0001398394,0.00004166175,0.00011333873,0.0002497387,0.00040997964,0.00036442096],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011287557,0.00006277143,0.77165484,0.000776436,0.00019878775,0.000015483034,0.00010431133,0.000038062375,0.000005396477,0.21919037,0.0043959427,0.0035462775],"study_design_scores_gemma":[0.0008562059,0.00007346379,0.09357406,0.0001241648,0.000018656068,0.000028575578,0.00005628129,0.0134639125,0.000013179126,0.026267214,0.86421096,0.0013133065],"about_ca_topic_score_codex":0.005238973,"about_ca_topic_score_gemma":0.000123773,"teacher_disagreement_score":0.85981506,"about_ca_system_score_codex":0.00024119174,"about_ca_system_score_gemma":0.00014068156,"threshold_uncertainty_score":0.99998516},"labels":[],"label_agreement":null},{"id":"W2953793796","doi":"10.1108/heswbl-09-2018-0092","title":"The effect of different types of education on the likelihood of employment in 29 post-communist countries of Eastern Europe and the former Soviet Union","year":2019,"lang":"en","type":"article","venue":"Higher Education Skills and Work-based Learning","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Vocational education; Communism; Higher education; Demographic economics; Originality; Value (mathematics); Sample (material); Soviet union; Political science; Economic growth; Economics; Statistics; Mathematics; Law; Politics","score_opus":0.0055271091762590105,"score_gpt":0.2222589377638216,"score_spread":0.2167318285875626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953793796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543136,0.0017641606,0.000012099766,0.0016557847,0.00026149378,0.00030734885,0.000011009727,0.000001933743,0.0005548097],"genre_scores_gemma":[0.99886155,0.00037587297,0.000008597834,0.000102798695,0.000015486768,0.000020388445,0.0000150513415,0.000009932587,0.0005903062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903786,0.0002656176,0.0004323018,0.000116660376,0.000057177647,0.00009038809],"domain_scores_gemma":[0.99804753,0.0009938286,0.00058763137,0.0002611908,0.00009354139,0.00001628304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013659745,0.00009651916,0.00027392627,0.00007088089,0.000074679425,0.00002669155,0.00012657186,0.000036805915,0.000050828017],"category_scores_gemma":[0.00010317697,0.000052533094,0.000045436398,0.00016968744,0.0001378011,0.000036359022,0.00003400254,0.0001369137,0.0000019326378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014599726,0.000145709,0.9159591,0.00010330858,0.000022017406,5.6678324e-9,0.0005569976,0.000073532225,0.000014284193,0.079019055,0.000011837364,0.003948124],"study_design_scores_gemma":[0.000717951,0.00029543298,0.9937123,0.0003024087,0.000014913016,8.089642e-8,0.00008658329,0.000043599943,0.00018411512,0.0017516182,0.0028127173,0.00007829173],"about_ca_topic_score_codex":0.0003689482,"about_ca_topic_score_gemma":0.000018906354,"teacher_disagreement_score":0.07775316,"about_ca_system_score_codex":0.000015929625,"about_ca_system_score_gemma":0.00005200045,"threshold_uncertainty_score":0.21422374},"labels":[],"label_agreement":null},{"id":"W2953940216","doi":"10.29173/cjs29332","title":"Occupational Demand, Cumulative Disadvantage, and Gender: Differences in University Graduates’ Early Career Earnings","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Disadvantage; Earnings; Human capital; Division of labour; Labour economics; Demographic economics; Boom; Economics; Gender gap; Political science; Economic growth; Law","score_opus":0.049070133650285425,"score_gpt":0.23584239398248333,"score_spread":0.1867722603321979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953940216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973066,0.0003636664,0.00009939774,0.0008619845,0.00015881259,0.000056080564,0.00008203896,0.0000010507795,0.0010703608],"genre_scores_gemma":[0.9995449,0.000061809806,0.000037148588,0.00012579528,0.000028609407,1.6524704e-7,0.0000028681063,0.000004236957,0.00019447059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993677,0.000086738706,0.00024496287,0.00010472113,0.000022404934,0.00017346957],"domain_scores_gemma":[0.9993215,0.00017173275,0.00028060656,0.000071888935,0.000050051916,0.000104172876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007845136,0.00006654108,0.00023840649,0.00015285976,0.000109083936,0.000019338933,0.0001680926,0.00007829358,0.00010547447],"category_scores_gemma":[0.00008330592,0.000056692406,0.000046356967,0.00007356237,0.00022208742,0.00011093141,0.000017260303,0.00025399984,0.000012766809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014495271,0.000002589254,0.81880003,0.0000029844123,0.000026355783,0.000009636479,0.0032265354,0.000026058402,5.9298475e-7,0.1778555,0.000009776951,0.000025439998],"study_design_scores_gemma":[0.0003060686,0.000042230717,0.85571086,0.0000035643814,0.0000034552493,0.000005510356,0.00039125394,0.00019925198,1.1637185e-7,0.14290117,0.00037423504,0.00006225034],"about_ca_topic_score_codex":0.012291426,"about_ca_topic_score_gemma":0.015207334,"teacher_disagreement_score":0.036910865,"about_ca_system_score_codex":0.00015532672,"about_ca_system_score_gemma":0.0001542255,"threshold_uncertainty_score":0.9942858},"labels":[],"label_agreement":null},{"id":"W2954343325","doi":"10.5089/9781451855494.001","title":"Returns to Human Capital and Investment in New Technology","year":2001,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Economics; Human capital; Business; Monetary economics; Financial economics; Market economy; Political science","score_opus":0.02863947190492236,"score_gpt":0.2404546621767708,"score_spread":0.21181519027184845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954343325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973709,0.00094113353,0.0000780795,0.003869349,0.00017188209,0.00013321512,0.0000057623797,0.00003511015,0.02105646],"genre_scores_gemma":[0.9959228,0.00010629442,0.0007925225,0.001633171,0.00008408489,0.000010399875,0.0000040589857,0.00001667733,0.0014299917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901646,0.000007535835,0.00035310353,0.00033315623,0.000022557642,0.0002672089],"domain_scores_gemma":[0.99954736,0.000015990498,0.000081014616,0.000257803,0.0000069922407,0.00009084855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029615822,0.00011206501,0.00023018452,0.00026883648,0.000053616484,0.000055309938,0.00013553606,0.000110637564,0.00016957674],"category_scores_gemma":[0.00005497957,0.00012722958,0.000027505865,0.00041107208,0.00002879984,0.0000688919,0.00010165373,0.00014743528,0.000053063213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005055151,0.00002350993,0.43862155,0.0000024473577,0.0000078883295,0.000014681106,0.0005526256,0.00000605323,0.00006749204,0.5585124,0.00007940064,0.0021069297],"study_design_scores_gemma":[0.00053167064,0.000054346987,0.21707252,0.00003763951,0.0000020378652,0.0000067046494,0.00014115899,0.00003217285,0.000009327062,0.62189454,0.15993533,0.0002825767],"about_ca_topic_score_codex":0.00057631783,"about_ca_topic_score_gemma":0.0022851722,"teacher_disagreement_score":0.22154902,"about_ca_system_score_codex":0.00008930713,"about_ca_system_score_gemma":0.000012143522,"threshold_uncertainty_score":0.51882714},"labels":[],"label_agreement":null},{"id":"W2958004987","doi":"10.1093/wber/lhaa013","title":"Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia","year":2020,"lang":"en","type":"article","venue":"The World Bank Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Earnings; Disadvantaged; Vocational education; Economics; Training (meteorology); Randomized experiment; Planned economy; Human capital; Intervention (counseling); Labour economics; Demographic economics; Youth unemployment; Average treatment effect; Economic growth; Unemployment; Economic system; Psychology; Geography; Medicine; Finance","score_opus":0.14472858628403826,"score_gpt":0.2878635010481475,"score_spread":0.14313491476410925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958004987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62841815,0.33316606,0.00044734895,0.020699024,0.0007959041,0.0017927885,0.00057804986,0.00017347843,0.013929228],"genre_scores_gemma":[0.9707627,0.023199232,0.00038403439,0.004782002,0.0004145471,0.00010708654,0.00006154224,0.000043293898,0.0002455129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976113,0.00010380468,0.001181246,0.0006853132,0.00004131404,0.00037702065],"domain_scores_gemma":[0.998347,0.00015147837,0.00065411365,0.0006586545,0.000013215712,0.0001755393],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011069417,0.00029102532,0.00092693104,0.000043743374,0.00013639046,0.00015293053,0.0008300664,0.000047925936,0.0017490332],"category_scores_gemma":[0.000111303714,0.00025165826,0.00032047537,0.00022000607,0.000099394536,0.00033541786,0.000202919,0.00024457654,0.0013024313],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003680281,0.00051378243,0.15390255,0.0032223635,0.0019118303,0.000052343275,0.05419772,0.0009919364,0.0001261948,0.68892044,0.016735371,0.079057455],"study_design_scores_gemma":[0.0047715954,0.000768872,0.024326941,0.017343592,0.00076427526,0.000018460776,0.0036897303,0.07528222,0.00031599402,0.08506991,0.7809665,0.0066818967],"about_ca_topic_score_codex":0.0004890251,"about_ca_topic_score_gemma":0.0001461475,"teacher_disagreement_score":0.76423115,"about_ca_system_score_codex":0.00017914761,"about_ca_system_score_gemma":0.00004119432,"threshold_uncertainty_score":0.99999356},"labels":[],"label_agreement":null},{"id":"W2963168413","doi":"10.1002/cl2.136","title":"PROTOCOL: Reducing Unemployment Benefit Duration to Increase Job Finding Rates: Protocol for a Systematic Review","year":2015,"lang":"en","type":"review","venue":"Campbell Systematic Reviews","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Duration (music); Unemployment; Economics; Medicine; Actuarial science; Demographic economics; Computer science; Psychology; Alternative medicine; Economic growth","score_opus":0.21872076113391073,"score_gpt":0.4126804218881471,"score_spread":0.19395966075423635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963168413","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.0044405e-8,0.47665128,0.00071618974,0.000031989664,0.00013196592,0.5216995,0.00021879247,0.000048014183,0.0005022422],"genre_scores_gemma":[3.1709956e-8,0.3799195,0.0007704958,0.0001958223,0.00016451496,0.61660755,0.00009972584,0.0001560008,0.0020863786],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9782981,0.0019451856,0.01680906,0.001737916,0.0003243766,0.0008853353],"domain_scores_gemma":[0.9787402,0.0009546134,0.016018953,0.0032180294,0.00048479243,0.00058339443],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.036435585,0.0016026386,0.020094318,0.00060703047,0.00026415326,0.00053072063,0.0014950463,0.00050051935,0.00011996261],"category_scores_gemma":[0.012586348,0.0011343268,0.002313965,0.001464815,0.00003089488,0.00033347154,0.00029115588,0.00042354417,0.0018066607],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007507875,0.00009198764,0.0000020831537,0.98300767,0.0002454978,0.000003793724,0.00009945633,0.000001247628,1.7765235e-8,0.012126545,0.00311098,0.0013032161],"study_design_scores_gemma":[0.00032098894,0.00009287294,4.014061e-8,0.5671408,0.0006845677,0.000024504923,0.00000554716,0.00008622324,2.7144907e-8,0.0011286561,0.42979652,0.00071921345],"about_ca_topic_score_codex":0.00007687065,"about_ca_topic_score_gemma":0.000016613338,"teacher_disagreement_score":0.42668554,"about_ca_system_score_codex":0.0019468131,"about_ca_system_score_gemma":0.00034924087,"threshold_uncertainty_score":0.9996721},"labels":[],"label_agreement":null},{"id":"W2963626903","doi":"10.17140/sbrpoj-4-116","title":"Gender Pay Gap: A Cross-Sectional Study of the Effect of Workplace Entitlement on Pay Differences","year":2019,"lang":"en","type":"article","venue":"Social Behavior Research and Practice - Open Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entitlement (fair division); Gender pay gap; Cross-sectional study; Demographic economics; Psychology; Business; Labour economics; Medicine; Economics; Wage; Microeconomics","score_opus":0.20942456486846742,"score_gpt":0.45246516071078136,"score_spread":0.24304059584231394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963626903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990511,0.00005196511,0.0000036648655,0.0004527199,0.00053361553,0.00094092975,0.000097349795,0.0000014566364,0.0074073053],"genre_scores_gemma":[0.9984299,0.00007456171,0.000016448403,0.000015437206,0.00010063555,0.000037265232,0.0000019422641,0.000010715643,0.0013130737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975993,0.00092775293,0.00059186,0.0002541667,0.00036023304,0.00026670058],"domain_scores_gemma":[0.9977534,0.0010975044,0.0006246719,0.00021448584,0.00023363394,0.00007631467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011867418,0.00010491237,0.00032818376,0.00010963576,0.0005061987,0.00054490706,0.0005650197,0.00007767157,0.0010888459],"category_scores_gemma":[0.00082185474,0.000060422935,0.00008942306,0.000279819,0.00012730506,0.00041241993,0.00036611644,0.0008819736,0.000021345217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008634802,0.00066491455,0.98722035,0.000021690634,0.00009331639,0.0000049735504,0.00080702326,0.0000010805592,0.000036735997,0.009528851,0.00006205313,0.0006955472],"study_design_scores_gemma":[0.0016677527,0.0020424577,0.98824483,0.000011417515,0.000015592708,0.000007236698,0.001003391,0.0000040454674,0.000020375453,0.0061921175,0.0007038158,0.00008697329],"about_ca_topic_score_codex":0.00085918343,"about_ca_topic_score_gemma":0.00005528428,"teacher_disagreement_score":0.011045563,"about_ca_system_score_codex":0.00009829916,"about_ca_system_score_gemma":0.00008795502,"threshold_uncertainty_score":0.9998243},"labels":[],"label_agreement":null},{"id":"W2964059285","doi":"10.3982/qe863","title":"HIP, RIP, and the robustness of empirical earnings processes","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Econometrics; Heteroscedasticity; Economics; Covariance; Robustness (evolution); Statistics; Mathematics; Accounting","score_opus":0.04114451376892757,"score_gpt":0.2725908572981561,"score_spread":0.2314463435292285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964059285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865842,0.0009178886,0.0019677277,0.0011367226,0.00031390676,0.00029196622,0.00014243569,0.000013693425,0.008631472],"genre_scores_gemma":[0.997167,0.0007146643,0.0013498313,0.00018051473,0.000031687072,0.000015746193,0.00001017685,0.00002161292,0.0005087915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987175,0.00004767662,0.0006538835,0.00036466017,0.00001994355,0.00019635283],"domain_scores_gemma":[0.9982351,0.0007312714,0.0006177104,0.00028342544,0.00008683278,0.00004566418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013126796,0.0001495723,0.0005711008,0.00009594589,0.000066269815,0.00006368521,0.00023382681,0.00008069632,0.00016929307],"category_scores_gemma":[0.00051188766,0.0001269196,0.000084723964,0.0001779725,0.00029382162,0.00024880207,0.00009765012,0.00014940518,0.00008341728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013805556,0.000034027842,0.15092286,0.00011489139,0.00006873341,1.7455247e-7,0.0010874429,0.001218144,0.0000012922841,0.8462834,0.000029624232,0.000101371894],"study_design_scores_gemma":[0.006994722,0.00041878127,0.1366964,0.00007340142,0.00003778316,0.000008079948,0.0026649088,0.15190613,0.00007635038,0.67496705,0.025144042,0.0010123532],"about_ca_topic_score_codex":0.00010260493,"about_ca_topic_score_gemma":0.000037803682,"teacher_disagreement_score":0.17131633,"about_ca_system_score_codex":0.000038777143,"about_ca_system_score_gemma":0.00004719035,"threshold_uncertainty_score":0.5175631},"labels":[],"label_agreement":null},{"id":"W2965461568","doi":"10.5465/ambpp.2019.15680abstract","title":"Early Work Experience and Engineering: Evidence from Random Assignment to Experiential Education","year":2019,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Work (physics); Engineering education; Experiential learning; Persistence (discontinuity); Psychology; Work experience; Job market; Medical education; Engineering; Mathematics education; Engineering management; Medicine","score_opus":0.02066320814083138,"score_gpt":0.23854361750142217,"score_spread":0.21788040936059078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965461568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447083,0.00052689057,0.0011918511,0.0007837801,0.0002586196,0.0005862532,0.000008179174,0.000027038686,0.002146573],"genre_scores_gemma":[0.9958882,0.00026387692,0.002382251,0.000312426,0.000065418564,0.0001341923,0.0000014551126,0.000016237378,0.0009359651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987097,0.0000030497104,0.00048159587,0.00049945846,0.00009541294,0.00021080778],"domain_scores_gemma":[0.9995173,0.00003619332,0.00023053029,0.00009910114,0.000020324505,0.00009655895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046251225,0.0001469057,0.0002842879,0.00016887569,0.000031855085,0.00009618797,0.00029513062,0.00007649397,0.00014439676],"category_scores_gemma":[0.00006497099,0.00016830713,0.000045459597,0.00029314155,0.000021792539,0.0005003749,0.00021699557,0.00010338232,0.00005785364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034328309,0.00015580967,0.5291118,0.00033180683,0.00014813086,4.234303e-7,0.009941729,0.000048830578,0.0015704434,0.4501286,0.000931731,0.007287436],"study_design_scores_gemma":[0.0011147406,0.00008979152,0.95174295,0.00051289296,0.000021119346,3.088607e-7,0.0007704773,0.00046065392,0.001008526,0.013043512,0.030685345,0.0005497046],"about_ca_topic_score_codex":0.000067445566,"about_ca_topic_score_gemma":5.23942e-8,"teacher_disagreement_score":0.4370851,"about_ca_system_score_codex":0.00006034849,"about_ca_system_score_gemma":0.000003375186,"threshold_uncertainty_score":0.6863366},"labels":[],"label_agreement":null},{"id":"W2966863737","doi":"10.3138/cpp.2018-053","title":"Employment Insurance: Interregional Redistribution versus Protection against Changing Labour Market Conditions","year":2019,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Generosity; Unemployment; Redistribution (election); Economics; Subsidy; Welfare state; Labour economics; Welfare; Business cycle; Macro; Macroeconomics; Market economy","score_opus":0.031625502935741234,"score_gpt":0.2411699281039568,"score_spread":0.20954442516821556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966863737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8960815,0.00008934452,0.00042843045,0.013318998,0.0014584631,0.00046023956,0.0066583753,0.0000610938,0.08144355],"genre_scores_gemma":[0.99452704,0.00003322925,0.000013341795,0.0012305158,0.00038770543,0.00009027216,0.00050291617,0.000024220815,0.0031907503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984654,0.000034932586,0.00039442538,0.00037130495,0.00005568864,0.0006782111],"domain_scores_gemma":[0.9989044,0.000024962057,0.00020880536,0.00036034768,0.00008983221,0.00041166626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062684744,0.00016155529,0.00023087878,0.0010300837,0.00023710102,0.00018218791,0.00023130351,0.00014091757,0.00076396915],"category_scores_gemma":[0.00034797285,0.0002068657,0.00009860505,0.00094059977,0.000049442035,0.00030708182,0.00004497918,0.00020198245,0.00031157976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015788102,0.000022052012,0.016447302,0.000018731653,0.000046610658,0.000003062001,0.00006675908,0.00000559276,0.000008315341,0.98004645,0.0012547701,0.0020645526],"study_design_scores_gemma":[0.0021182206,0.00010609114,0.2427414,0.000043434116,0.000003310409,0.000008908059,0.00014150255,0.004511352,0.0000107759115,0.066926785,0.6827032,0.00068503176],"about_ca_topic_score_codex":0.05057527,"about_ca_topic_score_gemma":0.037643705,"teacher_disagreement_score":0.9131197,"about_ca_system_score_codex":0.0019122284,"about_ca_system_score_gemma":0.00067801017,"threshold_uncertainty_score":0.9799168},"labels":[],"label_agreement":null},{"id":"W2969502213","doi":"10.7202/1062108ar","title":"L’inadéquation éducation-emploi et son impact sur les revenus chez les travailleurs canadiens","year":2019,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université de Montréal; Francophone University Association","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.020700718559282617,"score_gpt":0.23739947291258828,"score_spread":0.21669875435330566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969502213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94612676,0.03632104,0.0005992282,0.0059138606,0.002830857,0.0005916292,0.002346112,0.000064351654,0.005206184],"genre_scores_gemma":[0.97466767,0.013744044,0.0002735707,0.0007353742,0.000226665,0.000044617784,0.00035412,0.00012103011,0.009832925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99633086,0.0003232484,0.001130978,0.0009542931,0.00013606512,0.0011245569],"domain_scores_gemma":[0.9970755,0.00043123556,0.0008914547,0.0009249912,0.00024338992,0.00043343604],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029860141,0.00055672735,0.00087174535,0.00092451466,0.00035665088,0.00023927994,0.00052265625,0.00081083697,0.0013409797],"category_scores_gemma":[0.0007049919,0.0007092953,0.000714137,0.0014229058,0.0005491727,0.0004930411,0.000043586133,0.00091153686,0.00014818144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004944093,0.0003254576,0.7477813,0.00030366736,0.0004133731,0.00002034337,0.008538541,0.0004552526,0.00003425219,0.21729958,0.005509487,0.01926931],"study_design_scores_gemma":[0.0009523396,0.00027182486,0.84835637,0.00018189603,0.00008927043,0.00002473916,0.0016395213,0.0022133274,0.000011832515,0.019469066,0.12577073,0.0010190693],"about_ca_topic_score_codex":0.47889382,"about_ca_topic_score_gemma":0.38101414,"teacher_disagreement_score":0.19783051,"about_ca_system_score_codex":0.0018776382,"about_ca_system_score_gemma":0.00065427396,"threshold_uncertainty_score":0.9995719},"labels":[],"label_agreement":null},{"id":"W2969529781","doi":"10.1057/s41307-019-00162-0","title":"Employment and Wage Gaps Among Recent Canadian Male and Female Postsecondary Graduates","year":2019,"lang":"en","type":"article","venue":"Higher Education Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Western University","funders":"","keywords":"Earnings; Workforce; Graduation (instrument); Wage; Demographic economics; American Community Survey; Postsecondary education; Equity (law); Gender pay gap; Liberal arts education; Higher education; Political science; Labour economics; Sociology; Economics; Economic growth; Demography; Population; Census","score_opus":0.019935033248504992,"score_gpt":0.25306278526515963,"score_spread":0.23312775201665464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969529781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374965,0.001798715,7.221545e-7,0.0073307166,0.0005962577,0.00021647735,0.00019375652,0.000012989716,0.052353855],"genre_scores_gemma":[0.96657985,0.00086008536,0.00008134592,0.0020551274,0.00016185151,0.00002444902,0.000064687556,0.00002072818,0.030151859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990594,0.000017461318,0.00029853385,0.00033184467,0.000025103642,0.00026765035],"domain_scores_gemma":[0.9992775,0.000023820661,0.00013344927,0.00026898886,0.00003734646,0.00025892723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023415944,0.00012899855,0.0001977887,0.00029689763,0.00008680919,0.0001202806,0.00008715849,0.000075491655,0.002102586],"category_scores_gemma":[0.000023408405,0.00014755226,0.000025544801,0.00019856279,0.0000469764,0.00018642719,0.000038879374,0.00009139822,0.00016603117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019034516,0.000029104294,0.6522878,0.00001937436,0.00001146239,3.5625516e-7,0.00023476157,4.005802e-7,0.000004905437,0.34555602,0.00057202386,0.001281916],"study_design_scores_gemma":[0.00015554046,0.0000201097,0.8101661,0.000009600431,0.0000023453963,0.0000028503146,0.00004540997,0.000012255045,0.0000063885914,0.029175336,0.16024257,0.00016149378],"about_ca_topic_score_codex":0.13385047,"about_ca_topic_score_gemma":0.00685559,"teacher_disagreement_score":0.31638068,"about_ca_system_score_codex":0.0002188405,"about_ca_system_score_gemma":0.00020758573,"threshold_uncertainty_score":0.99880964},"labels":[],"label_agreement":null},{"id":"W2969873240","doi":"10.7202/1062104ar","title":"Le genre du chômage : effets de perspective","year":2019,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","score_opus":0.005248129045683075,"score_gpt":0.192567361136313,"score_spread":0.18731923209062992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969873240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8331257,0.044655822,0.0020405897,0.008934784,0.002751534,0.0005540827,0.00090307934,0.00009224224,0.10694214],"genre_scores_gemma":[0.97147024,0.011236129,0.0009040686,0.0024707937,0.00046291575,0.000047011126,0.000043857024,0.0001272346,0.013237771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9963883,0.00022195227,0.0008608868,0.0010936152,0.00010693598,0.001328272],"domain_scores_gemma":[0.99746186,0.00031565412,0.0005707802,0.001011726,0.00019961021,0.00044037984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020855188,0.0005157794,0.0009280439,0.00072744954,0.00038491882,0.00023769966,0.00070240936,0.00083977496,0.00057068624],"category_scores_gemma":[0.00047642092,0.00072753424,0.00080095377,0.0013924552,0.00088039035,0.000437347,0.000095870375,0.0009915739,0.00046993155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006101155,0.00033078712,0.25894937,0.00017390729,0.0003475039,0.00008681351,0.005195349,0.00009033722,0.000046182668,0.7325342,0.001112651,0.001071864],"study_design_scores_gemma":[0.0041307723,0.00045078888,0.34155264,0.00021079618,0.0001441728,0.00011336804,0.009598459,0.0046623903,0.000093650735,0.32966417,0.30723912,0.0021396764],"about_ca_topic_score_codex":0.04545269,"about_ca_topic_score_gemma":0.009208162,"teacher_disagreement_score":0.40287006,"about_ca_system_score_codex":0.0012139664,"about_ca_system_score_gemma":0.00047101628,"threshold_uncertainty_score":0.99951756},"labels":[],"label_agreement":null},{"id":"W2971388839","doi":"10.2139/ssrn.3446617","title":"Rigid Wages and Contracts: Time- versus State-Dependent Wages in the Netherlands","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Unemployment; Economics; Rigidity (electromagnetism); Labour economics; Efficiency wage; Sample (material); Function (biology)","score_opus":0.008685217726432213,"score_gpt":0.21095782212773997,"score_spread":0.20227260440130776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971388839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853906,0.0056977295,0.0002513029,0.0012352964,0.00029471246,0.00017405044,0.00003711381,0.0000104363335,0.0069087744],"genre_scores_gemma":[0.98974293,0.008240086,0.000012918106,0.0001588622,0.00009366615,0.000004411102,0.0000053231483,0.000019187823,0.0017226362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979353,0.00008501215,0.0004767721,0.00025345926,0.000076327575,0.0011731625],"domain_scores_gemma":[0.9992056,0.00020963291,0.0002806999,0.00023199739,0.000024340812,0.00004773299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049527325,0.00015342589,0.00030364952,0.000121581856,0.00009269042,0.00017559007,0.00031548375,0.00007611822,0.00010510036],"category_scores_gemma":[0.000086457105,0.00011970918,0.00007080002,0.00013615258,0.00003178831,0.00022602566,0.000035999135,0.0011578535,0.00013261601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049607013,0.00016842133,0.17996229,0.00001539079,0.00026867306,0.000018589873,0.00093274366,0.00015371101,0.000053270476,0.8089849,0.00006669945,0.008879233],"study_design_scores_gemma":[0.0045548826,0.0006229908,0.047357734,0.000015724405,0.0000130308945,0.000090700814,0.0009770276,0.0013352132,0.000008002028,0.936686,0.007948967,0.0003897446],"about_ca_topic_score_codex":0.0002812856,"about_ca_topic_score_gemma":0.0009139468,"teacher_disagreement_score":0.13260455,"about_ca_system_score_codex":0.00035336646,"about_ca_system_score_gemma":0.00015699187,"threshold_uncertainty_score":0.5030362},"labels":[],"label_agreement":null},{"id":"W2972210088","doi":"10.4000/pistes.6296","title":"Travail, emploi et douance","year":2019,"lang":"fr","type":"article","venue":"Perspectives interdisciplinaires sur le travail et la santé","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.014119612156445622,"score_gpt":0.2841734370596813,"score_spread":0.27005382490323565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972210088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8142382,0.0305253,0.0023691878,0.006681778,0.0030090432,0.0006565747,0.0013967279,0.000151121,0.1409721],"genre_scores_gemma":[0.9555021,0.008659573,0.0007236164,0.0006826358,0.0003156813,0.000060307244,0.000050796538,0.00019307801,0.03381219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9943496,0.00077335775,0.0015335806,0.0019764793,0.0002216945,0.0011453117],"domain_scores_gemma":[0.9963163,0.00085932144,0.0008486236,0.0014041722,0.00024824432,0.00032330467],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0036647962,0.0008466163,0.001520995,0.00043168725,0.00023633607,0.0006587475,0.0010444687,0.00055198645,0.0031539518],"category_scores_gemma":[0.00045954314,0.0010329713,0.0008213607,0.00063587615,0.00082321005,0.0013771817,0.0007265591,0.0013240444,0.0013172904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047184093,0.0025922565,0.0641642,0.00064992526,0.0008477583,0.00009732839,0.1446132,0.0005176068,0.00012236975,0.75501543,0.0024452982,0.02846277],"study_design_scores_gemma":[0.0028226208,0.0004555395,0.8797004,0.00060357054,0.000050872568,0.00005873428,0.01509203,0.00449159,0.000026631364,0.06805002,0.02698476,0.001663188],"about_ca_topic_score_codex":0.0018346122,"about_ca_topic_score_gemma":0.0024008753,"teacher_disagreement_score":0.81553626,"about_ca_system_score_codex":0.0006117617,"about_ca_system_score_gemma":0.00033843127,"threshold_uncertainty_score":0.9994603},"labels":[],"label_agreement":null},{"id":"W2972714106","doi":"10.2139/ssrn.3401135","title":"Wage Employment, Unemployment and Self-Employment Across Countries","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; International Growth Centre","keywords":"Unemployment; Labour economics; Self-employment; Wage; Economics; Entrepreneurship; Economic growth","score_opus":0.009723270011329097,"score_gpt":0.23363868859002856,"score_spread":0.22391541857869945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972714106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874503,0.0066914367,0.0010182182,0.0014251198,0.00059935753,0.00029516424,0.000106660555,0.000062160434,0.0023515804],"genre_scores_gemma":[0.9793717,0.01448232,0.000087065535,0.00042321283,0.00016066979,0.000012214851,0.0000091952625,0.00004867293,0.00540494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99624616,0.0000442129,0.0007772052,0.0004803618,0.000118629665,0.0023334518],"domain_scores_gemma":[0.9989058,0.000057857855,0.00047008565,0.00036122295,0.000060781567,0.00014427859],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036589713,0.00027456158,0.00048576703,0.00011287877,0.00026923147,0.00028013118,0.00032182352,0.0001223128,0.00019244301],"category_scores_gemma":[0.000029565248,0.00027615708,0.00013971553,0.0001673126,0.00005075291,0.00034662744,0.00014514165,0.00095083046,0.00031017134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034578155,0.00012450427,0.27053806,0.0000130999515,0.00024579145,0.0000031936456,0.0004110888,0.00001537467,0.0000069212947,0.7275993,0.000041583615,0.00096648396],"study_design_scores_gemma":[0.0026577727,0.0007127882,0.030138595,0.000029540648,0.000024259469,0.00017032807,0.00073307817,0.00056602585,0.000027069711,0.834264,0.1299369,0.00073969143],"about_ca_topic_score_codex":0.00036070845,"about_ca_topic_score_gemma":0.0005127804,"teacher_disagreement_score":0.24039946,"about_ca_system_score_codex":0.0013658212,"about_ca_system_score_gemma":0.00029855868,"threshold_uncertainty_score":0.99996907},"labels":[],"label_agreement":null},{"id":"W2973988286","doi":"","title":"Intergenerational Education Mobility and Labour Market Outcomes: Variation among the Second Generation of Immigrants in Canada. Analytical Studies Branch Research Paper Series.","year":2019,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Variation (astronomy); Series (stratigraphy); Social mobility; Labour economics; Demographic economics; Economics; Sociology; Political science; Social science; Geology","score_opus":0.045724610063512465,"score_gpt":0.2890454385008751,"score_spread":0.24332082843736264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973988286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945145,0.0003518266,0.000036862588,0.0015956304,0.00041220785,0.00034376731,0.0001610675,0.000002721054,0.0025813866],"genre_scores_gemma":[0.99311244,0.00014791741,0.00006334329,0.00029026082,0.00004420333,0.000038126087,0.00002183618,0.0000073912593,0.006274453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857897,0.00013920684,0.00068508944,0.00031923808,0.00010251089,0.0001750027],"domain_scores_gemma":[0.9990327,0.00024294174,0.00015830826,0.0002944135,0.00023534895,0.00003630606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029246884,0.00010055839,0.00030452016,0.00012352908,0.0000703199,0.00004403414,0.00011724668,0.000055876204,0.0014427991],"category_scores_gemma":[0.00037718413,0.000080296064,0.000030550855,0.000309235,0.00006463704,0.00034896279,0.000069474954,0.00015702812,0.0000036555832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015098659,0.000053818676,0.80455774,0.000046875335,0.000044411936,1.0952527e-7,0.00029294795,0.000042938602,0.00006286868,0.19413699,0.00055582094,0.00019040928],"study_design_scores_gemma":[0.00020875146,0.000016973285,0.9677665,0.0000071063682,0.0000016819275,3.1822134e-7,0.00048442197,0.009174255,0.000016487227,0.021550534,0.0006805161,0.000092444345],"about_ca_topic_score_codex":0.432906,"about_ca_topic_score_gemma":0.9418768,"teacher_disagreement_score":0.5089708,"about_ca_system_score_codex":0.00037642138,"about_ca_system_score_gemma":0.00036410338,"threshold_uncertainty_score":0.99947},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Homoscedasticity; Estimator; Heteroscedasticity; Mathematics; Asymptotic distribution; Econometrics; Statistics","score_opus":0.06144066291976715,"score_gpt":0.234354030321351,"score_spread":0.17291336740158383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974211056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74997914,0.0013419959,0.13297693,0.0049300613,0.00080234214,0.00039559277,0.0010106774,0.000103274964,0.10846],"genre_scores_gemma":[0.9958311,0.00008862089,0.0032123178,0.0005321305,0.00007990042,0.000008199266,0.00004269251,0.000019207002,0.00018586256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853486,0.00001698112,0.0008240669,0.0003794332,0.00003619548,0.00020849163],"domain_scores_gemma":[0.9988898,0.000109085835,0.0005520884,0.000282078,0.000031209234,0.00013576049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042167743,0.0001321412,0.00048444013,0.0002754686,0.000046545785,0.000042280437,0.00029568424,0.00007598458,0.00074428547],"category_scores_gemma":[0.0005504542,0.00016320629,0.00012083387,0.00078749127,0.000044436754,0.00023806382,0.00008216635,0.00011474776,0.0007088769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005544664,0.00023116397,0.0975761,0.00016936728,0.00014629053,0.0000044076655,0.0008610534,0.002868933,0.000053096428,0.8902762,0.00081774965,0.0069401865],"study_design_scores_gemma":[0.0024288297,0.00037618322,0.29497367,0.000027928023,0.000022538194,0.0000019979436,0.000059631177,0.40628836,0.00029351577,0.20902772,0.08543379,0.0010658249],"about_ca_topic_score_codex":0.00007290176,"about_ca_topic_score_gemma":0.0000013654334,"teacher_disagreement_score":0.6812485,"about_ca_system_score_codex":0.000063342355,"about_ca_system_score_gemma":0.000013501375,"threshold_uncertainty_score":0.91114146},"labels":[],"label_agreement":null},{"id":"W2977253486","doi":"10.5089/9781498320450.001","title":"Manufacturing Jobs and Inequality","year":2019,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Inequality; Economics; Labour economics; Distribution (mathematics); Wage; Income distribution; Economic inequality; Manufacturing sector; Wage inequality; Quarter (Canadian coin); Tertiary sector of the economy; Demographic economics; Macroeconomics; Economy","score_opus":0.02465899586052538,"score_gpt":0.218884536123099,"score_spread":0.1942255402625736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977253486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445264,0.0006404726,0.00015376222,0.0006002408,0.00058386975,0.00012226324,0.00002275281,0.00004497492,0.05330531],"genre_scores_gemma":[0.99737483,0.00012423328,0.00031877865,0.00078654697,0.00010335227,0.0000059667773,0.0000069862463,0.000022515942,0.0012567826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988709,0.000020675976,0.00040850946,0.00039403592,0.000036386275,0.00026948898],"domain_scores_gemma":[0.9993025,0.00008379428,0.00016805135,0.00037012686,0.000009110953,0.00006643806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000768681,0.00013724365,0.00029604984,0.00007183964,0.00006866272,0.00011287857,0.00013756054,0.00009309295,0.0007181878],"category_scores_gemma":[0.000040178304,0.00014591195,0.000063898515,0.00008660287,0.000025962408,0.00016050733,0.00011058199,0.00016818465,0.00032836356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013389524,0.000023606784,0.76908034,0.00003669141,0.000030219886,0.000003058349,0.00018997943,0.000024555107,0.000054574524,0.22602132,0.00003242755,0.004489812],"study_design_scores_gemma":[0.0005599719,0.000022982114,0.74199516,0.00003765301,0.000003836267,0.0000033772737,0.000035363,0.00053019857,0.00007294995,0.111265205,0.14508165,0.00039162906],"about_ca_topic_score_codex":0.00022117772,"about_ca_topic_score_gemma":0.000031084528,"teacher_disagreement_score":0.14504923,"about_ca_system_score_codex":0.00004662391,"about_ca_system_score_gemma":0.0000055716364,"threshold_uncertainty_score":0.7863653},"labels":[],"label_agreement":null},{"id":"W2978040195","doi":"10.2139/ssrn.4097610","title":"Looking Ahead at the Effects of Automation in an Economy with Matching Frictions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; University of Surrey; Queen's University; Universidade do Porto; Queen's University Belfast","keywords":"Matching (statistics); Automation; Economics; Engineering; Mathematics; Mechanical engineering","score_opus":0.006213031061362379,"score_gpt":0.20642143601767515,"score_spread":0.20020840495631279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978040195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901868,0.0012144549,0.006196942,0.00041694028,0.00015850944,0.00014304399,0.000012240554,0.000010350566,0.0016607188],"genre_scores_gemma":[0.99928397,0.00023633426,0.00004069791,0.0000761895,0.00004339714,0.000025224255,0.000007376886,0.000015818474,0.00027098955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986504,0.00009225076,0.00040887314,0.00016630204,0.00004419515,0.0006379821],"domain_scores_gemma":[0.99925363,0.00009432364,0.00042378993,0.00018297437,0.000018316394,0.00002696237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024646223,0.00008710269,0.00018985543,0.00017069074,0.0004022858,0.00004174914,0.00021752751,0.000024078548,0.00007523549],"category_scores_gemma":[0.000024059089,0.00007619696,0.000057133613,0.0002497676,0.000020721816,0.00024161131,0.00006406781,0.0008492021,0.0000035134958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003455544,0.00008884645,0.08267476,0.000015507372,0.000059611288,0.0000023731627,0.00072019565,0.003829107,0.000032589593,0.9111301,0.0000036295014,0.0014087609],"study_design_scores_gemma":[0.0007919823,0.00042178243,0.027094783,0.000011397638,0.000009607771,0.000093631694,0.0010011084,0.004813436,0.000012635055,0.96477234,0.00081845385,0.0001588563],"about_ca_topic_score_codex":0.0004397603,"about_ca_topic_score_gemma":0.003190058,"teacher_disagreement_score":0.05557997,"about_ca_system_score_codex":0.0015200778,"about_ca_system_score_gemma":0.00022083898,"threshold_uncertainty_score":0.39749506},"labels":[],"label_agreement":null},{"id":"W2982486692","doi":"10.1108/ijm-10-2018-0361","title":"Minimum wage impacts on wages, employment and hours in China","year":2019,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Wage; Propensity score matching; Economics; Demographic economics; Labour economics; Population; China; Demography; Medicine; Geography","score_opus":0.012571159749323834,"score_gpt":0.24541804057229438,"score_spread":0.23284688082297056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982486692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98481107,0.0003750817,0.00006023453,0.0021752273,0.0015323494,0.00006711577,0.000057025063,0.0000031111274,0.010918762],"genre_scores_gemma":[0.9983881,0.00036282523,0.00009933187,0.00047511887,0.000115139264,7.4559307e-7,0.0000035439473,0.000012028587,0.0005431527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990039,0.000017489943,0.0005815411,0.00014992744,0.00010905616,0.00013809472],"domain_scores_gemma":[0.99926364,0.00005787898,0.00043941112,0.00011582559,0.00005788879,0.00006535575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008489673,0.00009928431,0.00024312585,0.00033594013,0.000009890273,0.00007760293,0.0002577888,0.000052181258,0.0004032808],"category_scores_gemma":[0.00010300315,0.00009180511,0.000081495426,0.00006143907,0.00001673322,0.00021426032,0.00005675669,0.0001958241,0.00006420446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032600985,0.00032577582,0.88231885,0.000008630956,0.00016439697,0.00015681078,0.000546905,0.00019290466,0.00009282041,0.11309426,0.0005888208,0.0021837875],"study_design_scores_gemma":[0.0016146265,0.00021801496,0.9583596,0.00009613115,0.0000022872691,0.000031305048,0.00003593427,0.00027084496,0.000034683344,0.029746588,0.009435618,0.00015435093],"about_ca_topic_score_codex":0.00009650089,"about_ca_topic_score_gemma":0.000019806372,"teacher_disagreement_score":0.08334768,"about_ca_system_score_codex":0.00015204084,"about_ca_system_score_gemma":0.000016573349,"threshold_uncertainty_score":0.4415642},"labels":[],"label_agreement":null},{"id":"W2983906575","doi":"10.1093/oep/gpz026","title":"Can the insider–outsider theory explain unemployment hysteresis in OECD countries?","year":2019,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Insider; Unemployment; Hysteresis; Economics; Unit root; Exploit; Macroeconomics; Econometrics; Political science","score_opus":0.013798384492571003,"score_gpt":0.2071621384988756,"score_spread":0.1933637540063046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983906575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8434008,0.00034188156,0.000013726467,0.0035919172,0.00078868045,0.0004361819,0.00025784614,0.0000305403,0.15113844],"genre_scores_gemma":[0.9924117,0.00052402396,0.00003305481,0.0027384998,0.000076706616,0.00006827482,0.000024421175,0.000046051613,0.0040773177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978376,0.00008026666,0.00091294915,0.0006023176,0.00003904612,0.0005278116],"domain_scores_gemma":[0.9984221,0.00031013452,0.00038685577,0.0007816748,0.00000896429,0.00009029194],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018697773,0.0002727863,0.0005503704,0.00016411653,0.00010439195,0.00013882501,0.0004602085,0.00013488009,0.0053845863],"category_scores_gemma":[0.00004319787,0.00024934387,0.000163793,0.0000766418,0.000088465975,0.00020467344,0.00013183929,0.00022531678,0.0010209888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054524793,0.000028079801,0.31022018,0.000025692814,0.00007854339,0.0000038699654,0.0007370545,0.0007982286,0.0000053892436,0.6866048,0.00015009158,0.0012935391],"study_design_scores_gemma":[0.0030281814,0.00010829829,0.23726699,0.00004033023,0.000018848224,0.000008531131,0.0020069913,0.005244773,0.000046775203,0.35473958,0.39616162,0.0013290901],"about_ca_topic_score_codex":0.0009847692,"about_ca_topic_score_gemma":0.0027818175,"teacher_disagreement_score":0.39601153,"about_ca_system_score_codex":0.0006733218,"about_ca_system_score_gemma":0.00007427534,"threshold_uncertainty_score":0.9999959},"labels":[],"label_agreement":null},{"id":"W2985599749","doi":"10.3138/cpp.36.1.63","title":"The Evolution of the Returns to Human Capital in Canada, 1980–2005","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Human capital; Census; Wage; Demographic economics; Economics; Labour economics; Capital (architecture); Geography; Demography; Economic growth; Sociology; Population","score_opus":0.01149483146546246,"score_gpt":0.2039322957384073,"score_spread":0.19243746427294484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985599749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94393253,0.00007275576,0.0000028395184,0.034425437,0.0005534955,0.00016546213,0.00083764724,0.0000033241984,0.020006504],"genre_scores_gemma":[0.99746656,0.0000045610677,0.0000069556168,0.0010424022,0.00016953559,0.000015003607,0.0000060253096,0.0000127181365,0.001276245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987347,0.000023726489,0.00042261658,0.00019422834,0.000048763606,0.00057594036],"domain_scores_gemma":[0.9987628,0.000038590235,0.00015496652,0.0006056118,0.000046080135,0.00039198567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007477048,0.00009640743,0.00016224687,0.00030660068,0.00024637047,0.00007594181,0.0006527144,0.000071252936,0.00007973026],"category_scores_gemma":[0.00074077945,0.00007926366,0.00005174034,0.0006520882,0.00007182,0.000089093744,0.00005925367,0.00027039854,0.000010808364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[4.771466e-7,0.0000035525413,0.16320342,0.0000019900194,0.0000052051246,6.375497e-7,0.00011857832,0.000002411773,0.000010858132,0.83551234,0.0008982537,0.00024227107],"study_design_scores_gemma":[0.000111032925,0.0000046439527,0.79852384,0.0000026076884,6.5105274e-7,0.0000014983402,0.0001428361,0.00013866198,0.000003269753,0.09111471,0.10983395,0.00012229178],"about_ca_topic_score_codex":0.9996244,"about_ca_topic_score_gemma":0.9999933,"teacher_disagreement_score":0.74439764,"about_ca_system_score_codex":0.0032760731,"about_ca_system_score_gemma":0.007106133,"threshold_uncertainty_score":0.99852264},"labels":[],"label_agreement":null},{"id":"W2987234290","doi":"10.1111/obes.12350","title":"Job Reallocation Dynamics in India: Evidence from Large Manufacturing Plants","year":2019,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Job creation; Labour economics; Economics; Demographic economics; Business; Economic growth","score_opus":0.015152642025164443,"score_gpt":0.21213870508643762,"score_spread":0.19698606306127317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987234290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97942376,0.00038145148,0.0041932664,0.00028525415,0.00031595994,0.00022383317,0.0058091497,0.00000782922,0.009359511],"genre_scores_gemma":[0.982123,0.009539442,0.0074516954,0.00014497357,0.000031668416,0.000008029523,0.00024753288,0.000025635012,0.0004280001],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983186,0.000022510185,0.000911482,0.0004407885,0.000024147435,0.0002824399],"domain_scores_gemma":[0.9986501,0.00037284757,0.00054966944,0.000334664,0.000022268208,0.00007046274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078491785,0.0001772439,0.00054109766,0.00014938056,0.000040304803,0.00006529626,0.00020372926,0.00013716801,0.0005065072],"category_scores_gemma":[0.00010903007,0.00021917562,0.000041999458,0.000037678896,0.000037763297,0.00007978803,0.00012114935,0.0001696731,0.00005645401],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052036434,0.000042758278,0.40236866,0.00006468366,0.000028504604,0.000003189655,0.00011795385,0.00019536496,9.571434e-7,0.5954743,0.00009105031,0.0015605546],"study_design_scores_gemma":[0.0012241801,0.00010697092,0.62378466,0.000120728975,0.00000810701,0.0000018745424,0.00021627154,0.10587693,0.000020355841,0.24022104,0.027931249,0.00048764085],"about_ca_topic_score_codex":0.0020715112,"about_ca_topic_score_gemma":0.0010041178,"teacher_disagreement_score":0.35525325,"about_ca_system_score_codex":0.00020147835,"about_ca_system_score_gemma":0.000023657398,"threshold_uncertainty_score":0.89377224},"labels":[],"label_agreement":null},{"id":"W2993667812","doi":"","title":"Determinantes de la temporalidad en el mercado laboral ecuatoriano // Determinants of Temporality in Ecuadorian Labor Market","year":2012,"lang":"es","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Humanities; Welfare economics; Geography; Residence; Quarter (Canadian coin); Demography; Demographic economics; Sociology; Economics; Art; Economic growth","score_opus":0.021432223713938388,"score_gpt":0.32772572170628517,"score_spread":0.3062934979923468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993667812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662167,0.0012024698,0.0000017728274,0.00021222072,0.00077903544,0.000740069,0.0017362289,0.000022678074,0.029088834],"genre_scores_gemma":[0.98315865,0.014603788,0.00068646664,0.00007200192,0.00044822154,0.00012207654,0.000032415905,0.00013666779,0.0007396849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913978,0.0020229055,0.0029657602,0.0011685084,0.00021415713,0.0022308906],"domain_scores_gemma":[0.99425405,0.0024766226,0.0011011324,0.0014548962,0.0001624805,0.0005508445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.024060264,0.00063341623,0.0018187313,0.0013554017,0.0001695825,0.00027078768,0.0012088818,0.0010550393,0.00026058068],"category_scores_gemma":[0.0032937413,0.000778471,0.00032704638,0.00105969,0.00074490975,0.00089552597,0.000655286,0.0014754819,0.000022606113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033890372,0.0009876703,0.95349765,0.00060816016,0.00007513457,0.00007879599,0.0010479665,0.000035877933,0.00006847552,0.022222728,0.000018351891,0.021020293],"study_design_scores_gemma":[0.0018853474,0.00016823782,0.9639484,0.00039037102,0.000012709531,0.000015737285,0.0007881068,0.004391981,0.0003476189,0.011157534,0.01603249,0.00086140714],"about_ca_topic_score_codex":0.0029226467,"about_ca_topic_score_gemma":0.00095694023,"teacher_disagreement_score":0.02834915,"about_ca_system_score_codex":0.00183104,"about_ca_system_score_gemma":0.0006640728,"threshold_uncertainty_score":0.9994666},"labels":[],"label_agreement":null},{"id":"W2994408753","doi":"","title":"Education and Economic Growth: Is Tertiary Education for all Workers Optimal?","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tertiary level; Higher education; Tertiary sector of the economy; Tertiary care; Economics; Demographic economics; Socioeconomics; Economic growth; Demography; Mathematics; Medicine; Mathematics education; Sociology; Economy; Surgery","score_opus":0.03387372770838502,"score_gpt":0.3223014658365284,"score_spread":0.2884277381281434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994408753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096347,0.0003901445,0.000023541736,0.003356172,0.0009566606,0.00067000557,0.00021153998,0.000015222283,0.084741995],"genre_scores_gemma":[0.98880637,0.0042888485,0.0017942983,0.00052209717,0.000308244,0.00034147763,0.000053502015,0.000051156883,0.0038339957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978993,0.000036591744,0.0006957635,0.00079773547,0.00003216857,0.0005384592],"domain_scores_gemma":[0.99815655,0.0002106331,0.00042327476,0.0009449384,0.0000737131,0.00019086925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020535304,0.0002006027,0.00038290225,0.00037043763,0.00040882558,0.0004986168,0.0005889918,0.00019665432,0.00009575346],"category_scores_gemma":[0.00049561454,0.00025294683,0.00011450114,0.00003554129,0.00022228002,0.00057205936,0.00022155333,0.00027566135,0.000030968444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085141124,0.0003087109,0.6135213,0.00011724074,0.00008551558,7.076746e-7,0.0004355462,0.000044741908,0.0000102510085,0.19381537,0.00070266007,0.19087288],"study_design_scores_gemma":[0.0014413781,0.0001232179,0.5289982,0.00010977528,0.00001111611,0.000009547013,0.00082330476,0.01448365,0.00007072021,0.31009263,0.14294152,0.00089491985],"about_ca_topic_score_codex":0.0012007589,"about_ca_topic_score_gemma":0.00030716375,"teacher_disagreement_score":0.18997796,"about_ca_system_score_codex":0.00068682886,"about_ca_system_score_gemma":0.00044931922,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W2995718840","doi":"10.5539/ijef.v12n1p1","title":"Comparative Analysis of Minimum Wage in Five Provinces in Northwest China","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Minimum wage; Wage; Economics; China; Wage share; Consumption (sociology); Low wage; Capital (architecture); Labour economics; Demographic economics; Efficiency wage; Geography","score_opus":0.014322001453532143,"score_gpt":0.24058804642956666,"score_spread":0.22626604497603453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995718840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553895,0.00062608416,0.00002565983,0.00032962018,0.00038183527,0.00007887433,0.00033673906,6.265453e-7,0.0026815964],"genre_scores_gemma":[0.9966244,0.0029336063,0.0002539587,0.00004680126,0.000028833201,0.0000017657368,0.000012603274,0.0000043907203,0.00009363026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853116,0.000014799,0.0011135387,0.00019689805,0.000028369532,0.00011521022],"domain_scores_gemma":[0.9985607,0.000086565735,0.0011437149,0.000112012676,0.00007596963,0.000020989703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067186786,0.000101043064,0.00071031903,0.000750502,0.00000817481,0.00003715099,0.00030006524,0.00005437777,0.00003643393],"category_scores_gemma":[0.00003284075,0.00010884554,0.00013169223,0.0002429881,0.00004439888,0.00031773714,0.000055344448,0.00014042508,0.0000034802204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001203902,0.00013673257,0.7026772,0.000005584802,0.00029412736,0.000009574006,0.0009940416,0.03692961,0.000003896123,0.2582849,0.0000027110596,0.0005412306],"study_design_scores_gemma":[0.00089457567,0.00007836939,0.87827647,0.000031992113,0.000010847121,0.0000029136363,0.00010655426,0.09434822,0.00001328689,0.024996057,0.0011126959,0.00012804534],"about_ca_topic_score_codex":0.0012197015,"about_ca_topic_score_gemma":0.0037714827,"teacher_disagreement_score":0.23328882,"about_ca_system_score_codex":0.00012699545,"about_ca_system_score_gemma":0.00004285772,"threshold_uncertainty_score":0.44385922},"labels":[],"label_agreement":null},{"id":"W3002971639","doi":"","title":"Cross-program Differences in Returns to Education and the Gender Earnings Gap","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Earnings; Gender gap; Demographic economics; Regression discontinuity design; Affect (linguistics); Childbirth; Labour economics; Business; Economics; Psychology; Medicine; Pregnancy; Accounting","score_opus":0.08240053372420197,"score_gpt":0.34637375252717284,"score_spread":0.26397321880297087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002971639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.911317,0.0005622281,0.0000074938025,0.0026332384,0.00053625397,0.0013750927,0.00014904936,0.000029221266,0.08339046],"genre_scores_gemma":[0.9893911,0.0074238684,0.00060933304,0.0004053901,0.00021290453,0.00078109535,0.00005120805,0.00005042935,0.001074695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965056,0.00025312536,0.0011897695,0.00129455,0.00009207458,0.00066488807],"domain_scores_gemma":[0.9978934,0.00054575026,0.00039231352,0.00085197,0.0000839622,0.00023263501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004648981,0.0003178163,0.00088503177,0.0005299396,0.00014759184,0.0006887721,0.00086722133,0.0003942653,0.000096628784],"category_scores_gemma":[0.0017807698,0.00030567212,0.00015284772,0.00031865385,0.00042246815,0.000120347635,0.0014224887,0.0018754646,0.00002226947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030116946,0.00029234882,0.7418157,0.0003001646,0.00008724625,0.000006110848,0.0041448902,0.0004708758,0.0000018804807,0.16999464,0.000030380359,0.08255461],"study_design_scores_gemma":[0.0010708728,0.000071313065,0.6617966,0.000099075965,0.0000034837335,0.0000023448138,0.00069357094,0.014612183,0.0000014125804,0.30935758,0.011769852,0.0005217097],"about_ca_topic_score_codex":0.0012325769,"about_ca_topic_score_gemma":0.0008141659,"teacher_disagreement_score":0.13936295,"about_ca_system_score_codex":0.00057944894,"about_ca_system_score_gemma":0.00032031775,"threshold_uncertainty_score":0.99993956},"labels":[],"label_agreement":null},{"id":"W3006856757","doi":"10.1086/708724","title":"Sharp Bounds and Testability of a Roy Model of STEM Major Choices","year":2020,"lang":"en","type":"preprint","venue":"Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Leibniz-Gemeinschaft; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Pennsylvania State University; University of Pennsylvania","keywords":"Pointwise; Selection (genetic algorithm); Constraint (computer-aided design); Monotone polygon; Econometrics; Mathematics; Monotonic function; Distribution (mathematics); Representation (politics); Joint probability distribution; Mathematical economics; Instrumental variable; Economics; Computer science; Statistics; Artificial intelligence","score_opus":0.05834690851169256,"score_gpt":0.2620272215676288,"score_spread":0.20368031305593626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006856757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95288056,0.0013090862,0.0054969806,0.0033322547,0.00031478168,0.00024088692,0.0024418796,0.000007744734,0.033975817],"genre_scores_gemma":[0.9970301,0.00007546898,0.0022863513,0.00030109088,0.00020001105,0.000005055251,0.000006860816,0.000026092954,0.00006896682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99635005,0.000048585676,0.0027749557,0.00040702027,0.000066394576,0.000352986],"domain_scores_gemma":[0.9960623,0.00031544664,0.002536716,0.0004281933,0.00026948776,0.0003879046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015219084,0.0002691643,0.0017044296,0.00023521825,0.000028255725,0.000086037246,0.00049926346,0.00030203362,0.000093352464],"category_scores_gemma":[0.00030785287,0.00027986648,0.00046197933,0.000079918675,0.00026680352,0.00022753066,0.0004793166,0.0006906073,0.0000027472533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059877068,0.00017012631,0.04694368,0.0011770691,0.00022855964,0.0000030503436,0.00012335632,0.00020535613,0.000010082595,0.9509123,0.000022451075,0.00014412098],"study_design_scores_gemma":[0.00064793567,0.00015574333,0.01435858,0.000110736895,0.00006239266,0.00000652694,0.00006385121,0.04420727,0.00007590623,0.9393829,0.0006587894,0.0002693667],"about_ca_topic_score_codex":0.00028941737,"about_ca_topic_score_gemma":0.000013351389,"teacher_disagreement_score":0.044149533,"about_ca_system_score_codex":0.00021528127,"about_ca_system_score_gemma":0.000324949,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W3010727850","doi":"10.1016/j.econmod.2020.03.012","title":"Effects of minimum wage on workers’ on-the-job effort and labor market outcomes","year":2020,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Layoff; Spillover effect; Economics; Labour economics; Minimum wage; Incentive; Efficiency wage; Wage; Labor demand; Work (physics); Low wage; Unemployment; Microeconomics","score_opus":0.02806727906899924,"score_gpt":0.20927533127396042,"score_spread":0.18120805220496117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010727850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812781,0.0002983842,0.0021032097,0.0032376652,0.00032015576,0.00032738692,0.00019498139,0.000026776604,0.012213303],"genre_scores_gemma":[0.99700963,0.0002381949,0.00036512633,0.0017087562,0.0000966614,0.00002202012,0.0000039556076,0.00003716901,0.00051846035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984916,0.00002828836,0.0006749357,0.0005036802,0.00003147801,0.00027002883],"domain_scores_gemma":[0.99853843,0.00065592857,0.00034560182,0.00032822648,0.000010836614,0.000120955345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006675034,0.00022984936,0.00058586,0.00008440513,0.00008672798,0.00006199328,0.00026176305,0.000099994235,0.00023855203],"category_scores_gemma":[0.000083707586,0.00020883328,0.00014527283,0.00007605508,0.000058350128,0.00009719269,0.000076377706,0.00019861724,0.00013116948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024294396,0.000084017855,0.28038824,0.00020673775,0.00027798754,0.000008344617,0.00087755703,0.029147724,0.000008236157,0.68713707,0.0011882322,0.000432915],"study_design_scores_gemma":[0.0015934432,0.00024086011,0.054085918,0.0000860184,0.000026916437,5.530362e-7,0.00007400909,0.87132,0.00020895472,0.06696541,0.004744026,0.0006539045],"about_ca_topic_score_codex":0.00010708883,"about_ca_topic_score_gemma":0.0000055802566,"teacher_disagreement_score":0.84217227,"about_ca_system_score_codex":0.000066275796,"about_ca_system_score_gemma":0.000017731461,"threshold_uncertainty_score":0.8515974},"labels":[],"label_agreement":null},{"id":"W3016210165","doi":"10.3386/w26972","title":"Beyond Cobb-Douglas: Flexibly Estimating Matching Functions with Unobserved Matching Efficiency","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beveridge curve; Matching (statistics); Econometrics; Unemployment; Economics; Identification (biology); Parametric statistics; Function (biology); Nonparametric statistics; Independence (probability theory); Great recession; Mathematics; Statistics; Unemployment rate; Labour economics","score_opus":0.27276049958015297,"score_gpt":0.4303820489790298,"score_spread":0.15762154939887685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016210165","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049161807,0.0012981526,0.007857825,0.001933143,0.00276638,0.0011157884,0.00289932,0.00010376389,0.93286383],"genre_scores_gemma":[0.98268276,0.0003498532,0.0076397215,0.00009113564,0.0019028821,0.00015303976,0.001522107,0.00016483053,0.0054936423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948169,0.00014702116,0.0021896975,0.0012941371,0.0007972913,0.0007549305],"domain_scores_gemma":[0.99500686,0.0012821996,0.0015684592,0.0006373044,0.001261294,0.00024390506],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010288561,0.0004682098,0.0013048438,0.0011636134,0.00049898523,0.00036084652,0.0009677525,0.0004631087,0.0007506061],"category_scores_gemma":[0.0014791137,0.00051018497,0.00033098378,0.00070667255,0.00028761034,0.00044654583,0.00041586108,0.001632997,0.0004612971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011937066,0.00019724811,0.0034810852,0.0007487058,0.00049756706,0.000012646016,0.0003812243,0.031296108,0.000020517553,0.95806164,0.0048591127,0.00032480402],"study_design_scores_gemma":[0.00084018597,0.00021571758,0.0019636282,0.00026787136,0.000022136412,0.000024204712,0.00017396157,0.016039917,0.0000075338485,0.97360176,0.0061774445,0.0006656379],"about_ca_topic_score_codex":0.0057887915,"about_ca_topic_score_gemma":0.00036756086,"teacher_disagreement_score":0.933521,"about_ca_system_score_codex":0.002421304,"about_ca_system_score_gemma":0.0025135865,"threshold_uncertainty_score":0.999735},"labels":[],"label_agreement":null},{"id":"W3017362145","doi":"10.1007/s12122-020-09299-z","title":"The Effect of Industry-Level Aggregate Demand on Earnings: Evidence from the US","year":2020,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Earnings; Economics; Labour economics; Aggregate supply; Supply and demand; Wage; Aggregate demand; Human capital; Product (mathematics); Capital (architecture); Monetary economics; Microeconomics; Market economy","score_opus":0.13917314189052155,"score_gpt":0.35027115284469545,"score_spread":0.2110980109541739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017362145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769924,0.0038693154,0.000077878256,0.017965406,0.00014946936,0.00015120245,0.0001344706,0.0000027230712,0.00065711874],"genre_scores_gemma":[0.99719834,0.0021020065,0.000043080952,0.00018966214,0.0003110854,0.0000039749057,5.991507e-7,0.000015027317,0.0001361963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976611,0.0008283528,0.0007423902,0.0001838377,0.00030486655,0.00027944276],"domain_scores_gemma":[0.9909345,0.0075824982,0.000733205,0.00031561975,0.00029556366,0.0001386209],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.013220609,0.000106839034,0.00036853226,0.00007981034,0.00022843228,0.0001893262,0.0009134878,0.00014073131,0.000090126],"category_scores_gemma":[0.013907101,0.00005897405,0.00013673838,0.0006277374,0.00020944497,0.00015947502,0.00015972315,0.001841233,0.0000337918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015498952,0.00004328684,0.9718732,0.000058403362,0.00025979528,0.00006999338,0.0012080765,0.00042293934,0.00037851458,0.015630692,0.0026650915,0.0058400924],"study_design_scores_gemma":[0.0017138033,0.0027372583,0.91874,0.0006024255,0.000021743099,0.000008668078,0.00019827609,0.0024712232,0.0022719738,0.0153872315,0.05563239,0.00021503969],"about_ca_topic_score_codex":0.00031912315,"about_ca_topic_score_gemma":0.00002096464,"teacher_disagreement_score":0.05313325,"about_ca_system_score_codex":0.00006588713,"about_ca_system_score_gemma":0.000091959824,"threshold_uncertainty_score":0.9943992},"labels":[],"label_agreement":null},{"id":"W3019444476","doi":"10.1002/ajhb.23422","title":"Influence of height on likelihood of employment, occupational sorting, and earnings in 27 post‐communist countries","year":2020,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Windsor","funders":"","keywords":"Earnings; Demographic economics; Communism; Demographics; Sorting; Economics; Labour economics; Demography; Political science; Finance; Sociology","score_opus":0.019740496943038845,"score_gpt":0.2667126993750863,"score_spread":0.24697220243204746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019444476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858207,0.0001974501,0.000048423,0.00071155006,0.000025607953,0.000037414262,0.00009125924,0.000001957064,0.00030427697],"genre_scores_gemma":[0.9989381,0.00019355142,0.00019474479,0.00063351047,0.000024640516,5.748676e-7,0.0000056267713,0.000006646522,0.0000026378425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987254,0.00006852619,0.0009295053,0.00011938912,0.000031274285,0.00012586641],"domain_scores_gemma":[0.9977042,0.0001375875,0.0018903132,0.00010109202,0.00011337555,0.00005341782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005604604,0.00008595647,0.00052269694,0.00015729452,0.00003261583,0.0000072580538,0.000197716,0.000034342644,0.000035750632],"category_scores_gemma":[0.00021946746,0.00008242388,0.000057452526,0.0001438432,0.00039400515,0.000068396774,0.000055756715,0.00018651194,0.0000017298203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016815502,0.00005177277,0.91635036,0.000012312579,0.000038955328,0.0000020489872,0.00073637016,0.000054097836,0.0004829834,0.081873305,0.0000071624195,0.00022244474],"study_design_scores_gemma":[0.00054434704,0.0030984508,0.9824799,0.000034334218,0.0000048154247,0.000004033963,0.00020552833,0.000043053125,0.00010742015,0.012850987,0.0005195022,0.00010763425],"about_ca_topic_score_codex":0.0005270663,"about_ca_topic_score_gemma":0.00004536735,"teacher_disagreement_score":0.06902231,"about_ca_system_score_codex":0.0000224478,"about_ca_system_score_gemma":0.00003459178,"threshold_uncertainty_score":0.33611482},"labels":[],"label_agreement":null},{"id":"W3020883638","doi":"10.2202/1935-1682.2010","title":"Heterogeneity and Learning in Labor Markets","year":2010,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wage dispersion; Economics; Productivity; Wage; Earnings; Matching (statistics); Quality (philosophy); Dispersion (optics); Econometrics; Labour economics; Empirical research; Empirical evidence; General equilibrium theory; Microeconomics; Efficiency wage","score_opus":0.014010798504068799,"score_gpt":0.25841324355392,"score_spread":0.24440244504985117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020883638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943006,0.00044509114,0.00018878614,0.0024531467,0.00012723221,0.00004175409,0.000032533877,0.0000041792173,0.0024066563],"genre_scores_gemma":[0.9982492,0.0007928582,0.00016279114,0.00028744194,0.00024468137,0.0000010119213,0.0000019118324,0.000012263,0.00024785844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984929,0.00011305636,0.0009791927,0.00016115788,0.00002611282,0.00022760675],"domain_scores_gemma":[0.9983604,0.00023881036,0.0009875242,0.00027951368,0.000032353033,0.00010139518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045151934,0.00012804267,0.0005820264,0.0007850305,0.00009513196,0.00007565695,0.00033785985,0.0000806009,0.00017362252],"category_scores_gemma":[0.00037020582,0.00010778598,0.00022074352,0.0004317941,0.00008810179,0.00020380013,0.000079259225,0.00057074946,0.000023908158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005173897,0.000033663237,0.89588547,0.0000049216956,0.00054185773,0.0000027549895,0.0003744114,0.0018771582,0.00006414294,0.10012947,0.000018346143,0.0010160558],"study_design_scores_gemma":[0.00047331705,0.00003179079,0.9338839,0.0000032383123,0.00010951596,0.000020226782,0.00008348967,0.014098992,0.00001980481,0.04718656,0.0039192294,0.00016993482],"about_ca_topic_score_codex":0.0021889273,"about_ca_topic_score_gemma":0.0031405762,"teacher_disagreement_score":0.05294291,"about_ca_system_score_codex":0.00010615552,"about_ca_system_score_gemma":0.000067353765,"threshold_uncertainty_score":0.43953845},"labels":[],"label_agreement":null},{"id":"W3021571872","doi":"10.1016/j.red.2015.03.002","title":"Directed search over the life cycle","year":2015,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Banco de España; Ministerio de Ciencia e Innovación; Simon Fraser University","keywords":"Economics; Human capital; Unemployment; Wage; Productivity; Labour economics; Life expectancy; Quality (philosophy); Efficiency wage; Work (physics); Search theory; Microeconomics; Macroeconomics; Population","score_opus":0.04171006996708189,"score_gpt":0.2787593575391297,"score_spread":0.23704928757204785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021571872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64716303,0.16797648,0.0017203843,0.0075065843,0.00218144,0.0014072828,0.00222825,0.00015193915,0.16966459],"genre_scores_gemma":[0.94476885,0.051702827,0.0004540122,0.0020084595,0.0001756605,0.00003215044,0.0001257772,0.000052827872,0.00067943445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804753,0.00007788952,0.0011650195,0.00036040202,0.000051970637,0.0002971674],"domain_scores_gemma":[0.99823254,0.00013982914,0.00056948565,0.00080026657,0.000071829425,0.00018604283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030327213,0.00018621374,0.00074608426,0.000083431725,0.000054714128,0.000045022007,0.00056825974,0.000081583836,0.0004460302],"category_scores_gemma":[0.00046406023,0.00016186475,0.00023406238,0.00020537914,0.000109945344,0.00017703076,0.00017275476,0.00018743609,0.00038291607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001189389,0.00005926451,0.020538805,0.0009237035,0.000117077914,0.0000010855861,0.0000671126,0.00045910032,1.2946823e-7,0.973501,0.0019688169,0.002351969],"study_design_scores_gemma":[0.0014106139,0.00012301182,0.034662686,0.0011295457,0.0000737762,0.000010093571,0.000103629754,0.6563178,0.0000014502173,0.21245416,0.0928038,0.0009094328],"about_ca_topic_score_codex":0.0007138453,"about_ca_topic_score_gemma":0.00015523238,"teacher_disagreement_score":0.7610469,"about_ca_system_score_codex":0.0003572832,"about_ca_system_score_gemma":0.00015790013,"threshold_uncertainty_score":0.6600653},"labels":[],"label_agreement":null},{"id":"W3021977075","doi":"","title":"The Education Premium in Canada and the United States","year":2001,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economics; Political science; Accounting","score_opus":0.03628509382511785,"score_gpt":0.29959214001372114,"score_spread":0.2633070461886033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021977075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99286187,0.00020459056,5.785957e-7,0.005346733,0.0001135661,0.00015544871,0.000025792002,0.0000031006846,0.0012883106],"genre_scores_gemma":[0.99806386,0.0014282059,0.000012257184,0.00013832269,0.000030807587,0.000013050558,0.000044759032,0.0000061298415,0.00026263433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916565,0.0001173627,0.000329097,0.00016303748,0.000037108075,0.00018775239],"domain_scores_gemma":[0.9993824,0.0002956809,0.00011780487,0.00012610512,0.000030096673,0.00004795974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018235976,0.00005750981,0.00014300583,0.000104583836,0.00046189953,0.00006554547,0.000098960656,0.000026678612,0.000014344291],"category_scores_gemma":[0.00009949148,0.00004013379,0.000017655955,0.00014792175,0.00016381136,0.00009649609,0.00005646198,0.00012766155,7.887437e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008211558,0.000022503944,0.5693349,0.000011819589,0.00002267891,4.2747834e-7,0.001273113,0.0007065424,0.0000020765578,0.4210337,0.00012586398,0.007384208],"study_design_scores_gemma":[0.00054764876,0.00001067295,0.82148075,0.000010586579,0.0000021607102,8.627786e-7,0.0045265905,0.022990063,6.2226025e-7,0.14032781,0.010000813,0.00010141682],"about_ca_topic_score_codex":0.9419476,"about_ca_topic_score_gemma":0.8715178,"teacher_disagreement_score":0.2807059,"about_ca_system_score_codex":0.00022222364,"about_ca_system_score_gemma":0.00013633266,"threshold_uncertainty_score":0.35526046},"labels":[],"label_agreement":null},{"id":"W3022248921","doi":"10.1257/pol.20170262","title":"Unemployment Insurance and Means-Tested Program Interactions: Evidence from Administrative Data","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Receipt; Earnings; Unemployment; Layoff; Welfare; Quarter (Canadian coin); Safety net; Demographic economics; Medicaid; Population; Labour economics; Social insurance; Business; Economics; Accounting; Demography; Political science; Economic growth; Sociology; Geography","score_opus":0.13389901082484543,"score_gpt":0.35816837148577324,"score_spread":0.2242693606609278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022248921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667821,0.0011480786,0.000892032,0.022179862,0.0005586456,0.0004011103,0.00435838,0.00008898677,0.0035907933],"genre_scores_gemma":[0.98796666,0.004288544,0.003597946,0.0024936574,0.0014179053,0.000031981424,0.0000742338,0.000056073488,0.00007298743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99677265,0.00009861331,0.0015537746,0.001019057,0.000032861306,0.0005230469],"domain_scores_gemma":[0.9963778,0.00043474996,0.0017806405,0.00078542123,0.000024024017,0.0005973676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073211273,0.00036808645,0.00093429367,0.00020353946,0.00019843574,0.0005048292,0.0010751699,0.00006050173,0.00037835137],"category_scores_gemma":[0.0004984702,0.0004317553,0.00013931513,0.000151638,0.00038370356,0.0016168238,0.00042953424,0.00049657177,0.00046691523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064402795,0.0003257919,0.7091402,0.00005155896,0.0017548426,0.000053957185,0.0039166594,0.0018636517,0.000050924296,0.082057275,0.004951406,0.19518974],"study_design_scores_gemma":[0.0038623007,0.0020277393,0.32784313,0.00024510658,0.000106191794,0.00027821958,0.0019602969,0.3229583,0.00007014382,0.08560286,0.2520395,0.0030062322],"about_ca_topic_score_codex":0.012265351,"about_ca_topic_score_gemma":0.0008449889,"teacher_disagreement_score":0.38129702,"about_ca_system_score_codex":0.00086315465,"about_ca_system_score_gemma":0.00046296438,"threshold_uncertainty_score":0.99981344},"labels":[],"label_agreement":null},{"id":"W3022707168","doi":"10.1016/j.labeco.2020.101823","title":"The dynamics of disappearing routine jobs: A flows approach","year":2020,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Unemployment; Demographic economics; Wage; Labour economics; Transition (genetics); Macroeconomics","score_opus":0.024994514897398158,"score_gpt":0.19864166584156048,"score_spread":0.17364715094416233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022707168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96684545,0.000476573,0.011041267,0.004165127,0.00033349276,0.00022713294,0.0008197463,0.00004478295,0.016046453],"genre_scores_gemma":[0.9963176,0.0006301835,0.0017983085,0.00054051785,0.00018893309,0.000016285874,0.000051459265,0.000044704302,0.00041198314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806297,0.000027480199,0.00104028,0.00046184717,0.000027719074,0.00037968616],"domain_scores_gemma":[0.9985663,0.000112831774,0.00060443784,0.0005265018,0.000041299354,0.00014857572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089633535,0.00020713483,0.0005334946,0.000046840112,0.00017416828,0.00014994189,0.0006296019,0.00011570322,0.000057061075],"category_scores_gemma":[0.00023053771,0.00019888228,0.0001907849,0.00023332103,0.00009284104,0.00018552195,0.00022774805,0.00023912168,0.00006811607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034132176,0.000040480245,0.052664462,0.000048272035,0.000072494404,5.172634e-7,0.0003004863,0.0016907647,0.000002055841,0.9441597,0.000008609777,0.0009780612],"study_design_scores_gemma":[0.0009220687,0.000078004705,0.020629447,0.000008028359,0.0000120089635,0.0000026513426,0.00045724213,0.46038443,0.000015345779,0.4986825,0.018310662,0.0004976047],"about_ca_topic_score_codex":0.0002923323,"about_ca_topic_score_gemma":0.00021536504,"teacher_disagreement_score":0.45869368,"about_ca_system_score_codex":0.00014105834,"about_ca_system_score_gemma":0.000033700686,"threshold_uncertainty_score":0.8110184},"labels":[],"label_agreement":null},{"id":"W3023453464","doi":"10.21203/rs.3.rs-2958920/v1","title":"Deconstructing Job Search Behavior","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad de Chile; Université de Montréal; Agencia Nacional de Investigación y Desarrollo; University of Bristol; Cardiff University","keywords":"Business; Psychology; Computer science","score_opus":0.20982605370632745,"score_gpt":0.3995404448309834,"score_spread":0.18971439112465593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023453464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97227466,0.0011572912,0.0005388561,0.0010575474,0.0015677669,0.0013257577,0.003100304,0.00025127234,0.01872653],"genre_scores_gemma":[0.9915808,0.0010351889,0.0009485966,0.00002517264,0.0005797573,0.00050392316,0.00027196336,0.00015475412,0.0048998618],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99530065,0.00030560745,0.001175844,0.0014774818,0.00039740338,0.0013430408],"domain_scores_gemma":[0.99665415,0.00062430877,0.0002721322,0.0016062347,0.0005077737,0.00033539033],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010348107,0.00035242076,0.0008182893,0.0013126939,0.00045477788,0.0006988848,0.0012107479,0.00066741026,0.000876253],"category_scores_gemma":[0.0014327966,0.00042411403,0.00037803105,0.0009720089,0.00028167316,0.00014176099,0.0032395213,0.0032039976,0.0024592406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020531554,0.000116193216,0.6805238,0.00095079903,0.00009819008,0.00015726259,0.0004406739,0.00015165453,0.000008415895,0.31367418,0.00064269634,0.0032155574],"study_design_scores_gemma":[0.00058439554,0.00010976004,0.4930242,0.00049368455,0.000011715194,0.000009303258,0.0007500793,0.0055346875,0.000031411924,0.49364573,0.0047830734,0.0010219744],"about_ca_topic_score_codex":0.0052121524,"about_ca_topic_score_gemma":0.00040957215,"teacher_disagreement_score":0.18749964,"about_ca_system_score_codex":0.00067204423,"about_ca_system_score_gemma":0.00030606988,"threshold_uncertainty_score":0.99982107},"labels":[],"label_agreement":null},{"id":"W3023807203","doi":"10.3386/w20396","title":"The Evolution of Rotation Group Bias: Will the Real Unemployment Rate Please Stand Up?","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Unemployment; Rotation (mathematics); Economics; Unemployment rate; Physics; Computer science; Artificial intelligence; Macroeconomics","score_opus":0.2052025048296917,"score_gpt":0.4118355059705841,"score_spread":0.2066330011408924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023807203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91079265,0.0029254402,0.0016049847,0.005748695,0.0020130584,0.001996057,0.0021325273,0.000024700043,0.07276189],"genre_scores_gemma":[0.995844,0.0022223748,0.00007357772,0.00001924181,0.00033158378,0.00017285695,0.0002378266,0.00003100757,0.0010675477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655074,0.0005267191,0.0016182757,0.00061043486,0.00030311453,0.0003907166],"domain_scores_gemma":[0.9945151,0.0025175873,0.001382954,0.0007729117,0.0007328643,0.00007855741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020273877,0.00021871593,0.00053136563,0.00041681243,0.00032289993,0.0001720404,0.00097564503,0.00026659193,0.000104238046],"category_scores_gemma":[0.0016185709,0.00017303515,0.00025133797,0.00021407513,0.00046239924,0.000163601,0.00053565303,0.0006958479,0.000038167553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015751433,0.000058101217,0.008775947,0.00011212281,0.0001548879,1.7429907e-7,0.00012925478,0.006963245,0.000011849258,0.9823989,0.00087135634,0.00036664752],"study_design_scores_gemma":[0.00048769522,0.00007603202,0.015080089,0.000049323018,0.000006814628,3.045427e-7,0.00012074538,0.050951462,0.000016164184,0.92999226,0.0030551034,0.00016401624],"about_ca_topic_score_codex":0.0072133765,"about_ca_topic_score_gemma":0.0007968652,"teacher_disagreement_score":0.085051335,"about_ca_system_score_codex":0.002043481,"about_ca_system_score_gemma":0.0006477288,"threshold_uncertainty_score":0.9993977},"labels":[],"label_agreement":null},{"id":"W3024598261","doi":"10.1007/s12122-020-09300-9","title":"How Long Do Early Career Decisions Follow Women? The Impact of Employer History on the Gender Wage Gap","year":2020,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Earnings; Percentile; Demographic economics; Economics; Labour economics; Quarter (Canadian coin); Percentage point; Distribution (mathematics); Gender pay gap","score_opus":0.3213347314288378,"score_gpt":0.3483067542456625,"score_spread":0.026972022816824703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024598261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812199,0.0028607056,0.00016049187,0.012785865,0.00019323312,0.00020227651,0.00019211159,0.0000038780813,0.0023815536],"genre_scores_gemma":[0.99807763,0.00054115243,0.00003059717,0.00037557108,0.00026577292,0.000008938267,8.0967413e-7,0.000030951778,0.0006685931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781835,0.0003300272,0.00070592685,0.00022922801,0.0004322122,0.0004842307],"domain_scores_gemma":[0.9966494,0.0012876426,0.00055729446,0.0005436804,0.0007040194,0.0002579843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006853579,0.00014928046,0.00045807907,0.00027255193,0.0001633855,0.0002100274,0.0010215441,0.00009272563,0.000649987],"category_scores_gemma":[0.0037511988,0.00008252851,0.00037431714,0.0006949852,0.00017587787,0.00023324277,0.00016797766,0.00108883,0.000033174223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001813944,0.0006920532,0.5691049,0.000063761865,0.001728234,0.00031455705,0.02504256,0.00047784502,0.00061663514,0.32109883,0.07575375,0.0032929059],"study_design_scores_gemma":[0.0017291631,0.0021548192,0.86204684,0.000068140136,0.000016746255,0.00001272405,0.0019636324,0.00060100085,0.000047913923,0.08361986,0.04738166,0.0003575241],"about_ca_topic_score_codex":0.00017913649,"about_ca_topic_score_gemma":0.00001039299,"teacher_disagreement_score":0.29294187,"about_ca_system_score_codex":0.0007978305,"about_ca_system_score_gemma":0.0002829099,"threshold_uncertainty_score":0.71169025},"labels":[],"label_agreement":null},{"id":"W3028363537","doi":"10.1093/jeea/jvaa015","title":"On the Provision of Unemployment Insurance when Workers are Ex-Ante Heterogeneous","year":2020,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Israel Science Foundation","keywords":"Economics; Unemployment; Ex-ante; Labour economics; Construct (python library); Microeconomics; General equilibrium theory; Macroeconomics","score_opus":0.025995320739108888,"score_gpt":0.2021137540317316,"score_spread":0.17611843329262272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028363537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808056,0.000154372,0.00017071534,0.012743566,0.00069528003,0.00014578032,0.00013864474,0.000005835748,0.005140226],"genre_scores_gemma":[0.9983105,0.00008896672,0.000035473255,0.0010025144,0.00025522278,6.1256674e-7,9.4954396e-7,0.00002352544,0.00028224685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834913,0.00027635775,0.0010060286,0.00015458616,0.00007184631,0.0001420624],"domain_scores_gemma":[0.9954421,0.00019991268,0.004019283,0.0002314043,0.000056227258,0.000051099516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677481,0.000114285445,0.00033426206,0.000041903244,0.000079482175,0.000061695086,0.00051027775,0.000038471633,0.00005790847],"category_scores_gemma":[0.00066454866,0.00007954276,0.0002731135,0.00006928309,0.000021519421,0.00012112322,0.00009370281,0.00024252752,0.000094735005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015248913,0.000104144434,0.9605939,0.000025607278,0.00038115468,0.0000056462304,0.0012787209,0.014967194,0.000043195185,0.013454886,0.007707382,0.001285725],"study_design_scores_gemma":[0.0020955934,0.0004235895,0.91065407,0.00021814206,0.00005152691,0.0000068528843,0.00025563862,0.007828562,0.00032592486,0.056937378,0.020741064,0.0004616816],"about_ca_topic_score_codex":0.000016286296,"about_ca_topic_score_gemma":0.0000069846064,"teacher_disagreement_score":0.049939808,"about_ca_system_score_codex":0.00045171505,"about_ca_system_score_gemma":0.00002497203,"threshold_uncertainty_score":0.32436597},"labels":[],"label_agreement":null},{"id":"W3031065469","doi":"10.2139/ssrn.3614248","title":"The Effect of the Hartz Labor Market Reforms on Post-Unemployment Wages, Sorting, and Matching","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unemployment; Matching (statistics); Sorting; Labour economics; Economics; Beveridge curve; Efficiency wage; Unemployment rate; Macroeconomics","score_opus":0.0071365723899329365,"score_gpt":0.20719908257951777,"score_spread":0.20006251018958485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031065469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98173696,0.0030194058,0.00014675785,0.01196738,0.00021340502,0.00019479054,0.00004300555,0.0000109540815,0.002667358],"genre_scores_gemma":[0.99563324,0.002939952,0.000008335652,0.0005593505,0.00012342457,0.000005277018,0.0000013341416,0.00002223508,0.00070686254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981196,0.00010826169,0.0005734752,0.00021333036,0.00008790809,0.00089745707],"domain_scores_gemma":[0.9988906,0.00017821546,0.000590774,0.0002378878,0.000031224215,0.00007133871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004237661,0.00015512409,0.00028475613,0.000033366243,0.0003765952,0.00010468131,0.00038690318,0.000056447436,0.000023896535],"category_scores_gemma":[0.0004037135,0.00008496075,0.00014595676,0.00015826215,0.00005559561,0.000097224445,0.00010776328,0.0010789772,0.0000075636335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033886367,0.000022416658,0.08207466,0.000036096986,0.00021782996,0.0000015845718,0.00031688466,0.000035581736,0.00006995548,0.90422696,0.00009309148,0.0125660915],"study_design_scores_gemma":[0.0018901862,0.0021344437,0.055557724,0.00006205041,0.000036501857,0.000049377664,0.0005102824,0.0015139922,0.00026143563,0.927438,0.010164803,0.0003811605],"about_ca_topic_score_codex":0.00012811614,"about_ca_topic_score_gemma":0.00021559792,"teacher_disagreement_score":0.026516931,"about_ca_system_score_codex":0.0002662571,"about_ca_system_score_gemma":0.000120317476,"threshold_uncertainty_score":0.4687679},"labels":[],"label_agreement":null},{"id":"W3032760709","doi":"10.2139/ssrn.3667861","title":"Grades and Labour Market Earnings in Canada: New Evidence from the 2018 National Graduates Survey","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Earnings; Labour economics; Accounting; Demographic economics; Economics; Political science; Business","score_opus":0.0396697658020433,"score_gpt":0.2225307890022604,"score_spread":0.18286102320021708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032760709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96530557,0.010738103,0.0006664215,0.022758745,0.00013279812,0.00007197497,0.00018633893,0.000005197473,0.00013484794],"genre_scores_gemma":[0.98675907,0.011598481,0.00004387847,0.0010476849,0.00020474943,0.0000015833772,0.000008701265,0.000013647972,0.00032220554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982295,0.00013644413,0.0004665023,0.00026697214,0.00010833662,0.0007922648],"domain_scores_gemma":[0.99886155,0.00058269827,0.00029951514,0.000092239476,0.00005179674,0.0001122087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003695653,0.00012801615,0.000246279,0.000038811602,0.0001197113,0.00011249868,0.00032759772,0.000040500232,0.0001282804],"category_scores_gemma":[0.0017924983,0.00011106698,0.00003601519,0.00028088337,0.00002729966,0.00022850583,0.000061078565,0.0010230539,0.000008197551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000467577,0.000005824183,0.92074,0.0000027077724,0.00005459919,0.0000020090774,0.00015640094,0.000025308485,0.0000024736491,0.076739125,0.0016436483,0.00058115035],"study_design_scores_gemma":[0.00026263285,0.000028061817,0.70543164,0.000012081649,0.0000020536952,0.000006117417,0.00012438984,0.0011075825,7.557555e-7,0.29154852,0.0013638681,0.00011233114],"about_ca_topic_score_codex":0.8916,"about_ca_topic_score_gemma":0.9571884,"teacher_disagreement_score":0.21530838,"about_ca_system_score_codex":0.0011214497,"about_ca_system_score_gemma":0.0036751628,"threshold_uncertainty_score":0.6519581},"labels":[],"label_agreement":null},{"id":"W3033526609","doi":"10.3386/w27331","title":"Why Didn't the College Premium Rise Everywhere? Employment Protection and On-the-Job Investment in Skills","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Investment (military); Labour economics; Business; Economics; Management; Political science; Law","score_opus":0.21327522646692826,"score_gpt":0.3929286028534135,"score_spread":0.17965337638648526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033526609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7545849,0.0013342049,0.0000722647,0.10590845,0.0008271699,0.0053244857,0.0025748648,0.000027036442,0.12934661],"genre_scores_gemma":[0.99632883,0.00058971695,0.000070473296,0.0010062087,0.00023203035,0.0008215419,0.000053358544,0.000034105557,0.0008637203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99721235,0.00032911997,0.001055029,0.0007988419,0.00025650396,0.00034818085],"domain_scores_gemma":[0.99771965,0.0009604356,0.00049290946,0.00053991633,0.0001877648,0.00009935701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006733741,0.00024570923,0.0005151982,0.00043930553,0.00018062931,0.00014924712,0.0006969154,0.00027157273,0.00023209743],"category_scores_gemma":[0.0010713615,0.00020191856,0.0001398239,0.0002558223,0.00027796457,0.00010058346,0.00077619974,0.0012226689,0.00007440791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008595525,0.0001409584,0.005170201,0.000090766676,0.00011631517,0.0000016505714,0.0002508956,0.001315594,0.000007950663,0.9850616,0.0076806713,0.00007748269],"study_design_scores_gemma":[0.0004530044,0.000092787166,0.014937258,0.00007656769,0.0000030050255,8.5623486e-7,0.000049134724,0.011019046,0.000036907724,0.9612311,0.011900927,0.000199375],"about_ca_topic_score_codex":0.0035752368,"about_ca_topic_score_gemma":0.000735261,"teacher_disagreement_score":0.24174392,"about_ca_system_score_codex":0.001384259,"about_ca_system_score_gemma":0.00033422923,"threshold_uncertainty_score":0.8234},"labels":[],"label_agreement":null},{"id":"W3034186572","doi":"","title":"Labour Market Dynamics: Cross-country Insights from Panel Data | Bulletin – September Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Panel Study of Income Dynamics; Economics; Geography; Demographic economics","score_opus":0.03615669953683999,"score_gpt":0.24691346180646712,"score_spread":0.21075676226962714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034186572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49788973,0.018350178,0.0073926933,0.20882438,0.010426308,0.0021440412,0.069132365,0.0006609401,0.18517938],"genre_scores_gemma":[0.9920538,0.0003392838,0.0013505769,0.0014593293,0.0008638428,0.000031166277,0.0017738495,0.000110393004,0.002017756],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592525,0.00012309666,0.0017703039,0.0010605489,0.00021481421,0.00090601],"domain_scores_gemma":[0.9957416,0.00036746642,0.0010215939,0.0023800102,0.0001357932,0.00035351675],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017294375,0.00053350243,0.0010193152,0.00025173675,0.00018456424,0.00019023533,0.0013836466,0.00039422966,0.025746375],"category_scores_gemma":[0.00028075473,0.00057858304,0.00021060795,0.00031628492,0.00024081433,0.0005900073,0.0007522052,0.0005040156,0.005276232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034510886,0.0012901541,0.13394295,0.00024528196,0.00058669003,0.000018337052,0.0006206399,0.00003072406,0.0000424735,0.17571662,0.6870951,0.000065908665],"study_design_scores_gemma":[0.0009758011,0.000036793772,0.11692433,0.00004399011,0.00002954897,0.0000055078553,0.00007600268,0.0016326283,0.000010687777,0.0083823735,0.871193,0.0006893118],"about_ca_topic_score_codex":0.0011980474,"about_ca_topic_score_gemma":0.0002266784,"teacher_disagreement_score":0.49416408,"about_ca_system_score_codex":0.0001540148,"about_ca_system_score_gemma":0.000031746375,"threshold_uncertainty_score":0.9996666},"labels":[],"label_agreement":null},{"id":"W3034444101","doi":"","title":"Abstract for Labour Market Dynamics: Cross-country Insights from Panel Data | Bulletin – September Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Panel Study of Income Dynamics; Economics; Labour economics; Geography","score_opus":0.043739817305373865,"score_gpt":0.26002679319991345,"score_spread":0.2162869758945396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034444101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5071087,0.0146913435,0.01363242,0.21131323,0.010678524,0.0038199802,0.14557113,0.00057814183,0.09260651],"genre_scores_gemma":[0.9918345,0.00021508617,0.0021267228,0.0010723345,0.00094102026,0.0000671587,0.0025325478,0.000112492795,0.0010981386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99621004,0.000053349548,0.0017229163,0.0009840084,0.00016666227,0.0008630535],"domain_scores_gemma":[0.9959985,0.0005802084,0.0010693326,0.0018965529,0.00015671492,0.0002986686],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018281846,0.0004918405,0.0009539535,0.00021288454,0.00018827652,0.00018178733,0.0011710926,0.00038159767,0.014363919],"category_scores_gemma":[0.00033411948,0.00053359626,0.00024629917,0.00020187034,0.0001826998,0.00053535873,0.00042548703,0.0003772456,0.0020111054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061020907,0.0013825406,0.05096725,0.00050262833,0.0006031003,0.0000082536835,0.00048196598,0.00003935786,0.000080554935,0.12907702,0.8161341,0.000113022325],"study_design_scores_gemma":[0.0012087544,0.00003898342,0.13583419,0.00004718431,0.000028031423,0.0000025844538,0.00006483746,0.0014520284,0.000015647183,0.010542296,0.850136,0.0006294971],"about_ca_topic_score_codex":0.0007541725,"about_ca_topic_score_gemma":0.00017436108,"teacher_disagreement_score":0.48472577,"about_ca_system_score_codex":0.00013534496,"about_ca_system_score_gemma":0.00003252397,"threshold_uncertainty_score":0.9997116},"labels":[],"label_agreement":null},{"id":"W3035845071","doi":"10.71781/19529","title":"Youth employment incentives : activation policy in Denmark, France and the United Kingdom (2008-2016)","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Nuclear Energy Technologies; Social Sciences and Humanities Research Council of Canada; Beskæftigelsesministeriet; Université de Montréal; European Commission","keywords":"Incentive; Political science; Labour economics; Economics; Market economy","score_opus":0.0464498715168492,"score_gpt":0.2923198363070886,"score_spread":0.24586996479023937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035845071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652995,0.00034225776,0.00005437927,0.00040578286,0.00035340243,0.000969848,0.000398197,0.0000011070284,0.032175563],"genre_scores_gemma":[0.9807905,0.00045418486,0.00011528594,0.0001359078,0.00006948881,0.000043615335,0.0010912959,0.000032980828,0.017266737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99836946,0.000084503794,0.0006860309,0.00054425147,0.000059260314,0.0002564689],"domain_scores_gemma":[0.9985947,0.00014529146,0.00075546996,0.0004088677,0.000052393552,0.00004329216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012741658,0.00024325104,0.0005670707,0.00042501313,0.000101240854,0.00036374453,0.00050338026,0.00022848169,0.00036378767],"category_scores_gemma":[0.00026932056,0.00021408343,0.000065249726,0.0005693617,0.00005654982,0.00028606373,0.00013078788,0.00031169102,0.0001446173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038872815,0.00078573986,0.29466507,0.0003817807,0.00072123494,0.000010178131,0.07132497,0.00027257935,0.000051127678,0.5426201,0.00015353224,0.08512639],"study_design_scores_gemma":[0.016183374,0.0001595498,0.7408416,0.001485248,0.00008737945,0.0000014983018,0.0074853837,0.006304971,0.00024338873,0.07098534,0.15378119,0.0024410419],"about_ca_topic_score_codex":0.016388295,"about_ca_topic_score_gemma":0.00091737165,"teacher_disagreement_score":0.4716348,"about_ca_system_score_codex":0.00014651839,"about_ca_system_score_gemma":0.00011769017,"threshold_uncertainty_score":0.99016166},"labels":[],"label_agreement":null},{"id":"W3038361743","doi":"","title":"Robust Ordering of Canadian Provincial Human Resource Stocks: Measurement in the Absence of Cardinal Measure","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Categorical variable; Human capital; Embodied cognition; Scale (ratio); Stock (firearms); Human resources; Latent variable; Measure (data warehouse); Econometrics; Economics; Geography; Statistics; Computer science; Mathematics; Artificial intelligence; Economic growth; Cartography; Management; Data mining","score_opus":0.12056006609318595,"score_gpt":0.2782519359703801,"score_spread":0.15769186987719416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038361743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83717346,0.00052121346,0.000027296275,0.0011745204,0.00023391623,0.0015161097,0.0009452035,0.000011514637,0.15839677],"genre_scores_gemma":[0.9985514,0.0007618172,0.00022430831,0.000059375394,0.00013789035,0.000134898,0.000039987342,0.000049574046,0.000040706575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995878,0.0003421868,0.0017608159,0.0009682506,0.00029106176,0.0007596744],"domain_scores_gemma":[0.9975046,0.0001873378,0.0007103318,0.001184109,0.00021883995,0.00019476368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011147763,0.00031904524,0.0010689801,0.0014779785,0.00012177642,0.00009866782,0.0015022221,0.00039946524,0.000040336992],"category_scores_gemma":[0.0013105538,0.0003470553,0.00025605288,0.00065701304,0.00027715648,0.00007919816,0.00058609404,0.0017697541,0.0000024022697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046889123,0.00082358654,0.57453847,0.0033073789,0.0006803637,0.00018173322,0.011730677,0.09515456,0.00034533226,0.2834249,0.00019995126,0.029144157],"study_design_scores_gemma":[0.005058005,0.00097045174,0.7035324,0.002830824,0.00004757318,0.000016957098,0.009927924,0.042457625,0.0001780959,0.16963866,0.061569646,0.0037718439],"about_ca_topic_score_codex":0.16332403,"about_ca_topic_score_gemma":0.40205893,"teacher_disagreement_score":0.2387349,"about_ca_system_score_codex":0.0017650456,"about_ca_system_score_gemma":0.0010726389,"threshold_uncertainty_score":0.99989814},"labels":[],"label_agreement":null},{"id":"W3042121354","doi":"10.1093/oxfordhb/9780190069704.013.4","title":"The Economic Outcomes of Career Development Programmes","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Order (exchange); Work (physics); State (computer science); Conceptual model; Career development; Business; Economics; Public relations; Public economics; Economic growth; Political science; Finance; Psychology; Computer science; Engineering; Social psychology","score_opus":0.03786417088047954,"score_gpt":0.1957460651512707,"score_spread":0.15788189427079113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042121354","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011805205,0.00027029376,0.00017734819,0.00011859649,0.00032035206,0.00037938016,0.0007208665,0.000043300042,0.99678934],"genre_scores_gemma":[0.031349402,0.00050683494,0.0004612582,0.000058109024,0.000051507224,0.0000027717429,0.000056991932,0.000055733406,0.9674574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867827,0.000011127046,0.00057291496,0.00043714533,0.00005824423,0.00024228639],"domain_scores_gemma":[0.99850756,0.00009599379,0.00075758254,0.000484951,0.000049112627,0.00010478564],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002798149,0.00029381234,0.00064623967,0.000088691864,0.00019761427,0.00006265894,0.0006977978,0.00023458338,0.00003479806],"category_scores_gemma":[0.0000145690765,0.00028925316,0.00027657018,0.000006485813,0.00016916462,0.000055889723,0.000412909,0.00026214763,0.0000079451165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037870213,0.000005243247,0.0009059699,0.000046050263,0.00041194615,0.000008933238,0.00016695178,0.0000053203626,7.512046e-8,0.99355394,0.0002111006,0.004646599],"study_design_scores_gemma":[0.0003041885,0.00002405846,0.0004041197,0.000016798514,0.000029220006,4.014672e-7,0.00002413432,0.00008115231,0.0000062340555,0.02098594,0.9777964,0.000327379],"about_ca_topic_score_codex":0.00016277959,"about_ca_topic_score_gemma":0.00016094783,"teacher_disagreement_score":0.97758526,"about_ca_system_score_codex":0.00035166962,"about_ca_system_score_gemma":0.00013383791,"threshold_uncertainty_score":0.99995595},"labels":[],"label_agreement":null},{"id":"W3043488421","doi":"10.2478/izajolp-2020-0005","title":"Does Census Hiring Stimulate Jobs Growth?","year":2020,"lang":"en","type":"article","venue":"IZA Journal of Labor Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"George Mason University","keywords":"Census; Peacetime; American Community Survey; Microdata (statistics); Government (linguistics); Spillover effect; Economics; Workforce; Demographic economics; Labour economics; Economic growth; Population; Political science; Demography; Sociology; Law; Macroeconomics","score_opus":0.03198122694092099,"score_gpt":0.2552276549104299,"score_spread":0.22324642796950894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043488421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547241,0.0008649966,0.0009617087,0.03828811,0.00072975416,0.000079102836,0.0007453744,0.000025289317,0.0035815716],"genre_scores_gemma":[0.99311155,0.000643771,0.0008531247,0.0036516944,0.0015415206,7.8237076e-7,0.000003190732,0.000032814827,0.00016156696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982877,0.000035377478,0.0010623576,0.00020962625,0.00007892163,0.00032603682],"domain_scores_gemma":[0.99833935,0.000088144756,0.00087874837,0.00017944597,0.00021318796,0.00030113623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930816,0.00016933512,0.0005324378,0.00024060841,0.000070175134,0.00011076565,0.00039676274,0.000088552624,0.00014735134],"category_scores_gemma":[0.0011875574,0.00012834281,0.00019333384,0.00058281265,0.000043244458,0.0002899752,0.00008631578,0.0003121272,0.00005321723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014465438,0.00010035142,0.16329822,0.00011015336,0.00020556098,0.00013279106,0.0011751725,0.00059633417,0.00026193992,0.8315483,0.0008133588,0.0016131649],"study_design_scores_gemma":[0.0038329368,0.0004921973,0.23005272,0.0001025905,0.000046347155,0.000046716414,0.00015761398,0.0044889874,0.00052999513,0.57678556,0.18248245,0.0009818838],"about_ca_topic_score_codex":0.00029904654,"about_ca_topic_score_gemma":0.0000073724104,"teacher_disagreement_score":0.25476274,"about_ca_system_score_codex":0.00011386209,"about_ca_system_score_gemma":0.00008045131,"threshold_uncertainty_score":0.5233668},"labels":[],"label_agreement":null},{"id":"W3047486338","doi":"10.1108/ijm-04-2019-0207","title":"Intellectual structure of multigenerational workforce and contextualizing work values across generations: a multistage analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Workforce; Work (physics); Labour economics; Workforce diversity; Demographic economics; Sociology; Psychology; Economics; Economic growth; Engineering","score_opus":0.04208335337502184,"score_gpt":0.2856283075341927,"score_spread":0.24354495415917088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047486338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91598105,0.0013137952,0.08036936,0.0010813603,0.00044745204,0.00005540263,0.00055180024,0.0000052864916,0.00019446798],"genre_scores_gemma":[0.99373335,0.00020590037,0.0049902857,0.000590663,0.00031561413,7.393853e-7,0.000036580153,0.000011357973,0.00011552965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984556,0.00003678244,0.0010286202,0.00020001695,0.00015618326,0.00012282033],"domain_scores_gemma":[0.9983347,0.00020443382,0.00084270694,0.000096633004,0.0004278241,0.000093699455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004151147,0.00012475988,0.0004078754,0.00020031884,0.00005582108,0.00013702153,0.0003057271,0.00007421881,0.00046557048],"category_scores_gemma":[0.0009019304,0.00012212017,0.00020992314,0.00033461986,0.000080561724,0.00025836992,0.00008910774,0.0001784385,0.000003798969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011735365,0.00032573464,0.6818021,0.000043691296,0.0077374405,0.00008788899,0.032613985,0.038953554,0.0028850662,0.22276805,0.0014105543,0.010198382],"study_design_scores_gemma":[0.014040448,0.0010288045,0.47994885,0.00035692056,0.0007360131,0.000115754636,0.0059713325,0.31210214,0.004918706,0.08751273,0.090449885,0.00281843],"about_ca_topic_score_codex":0.00003266829,"about_ca_topic_score_gemma":0.000029271769,"teacher_disagreement_score":0.2731486,"about_ca_system_score_codex":0.000054537024,"about_ca_system_score_gemma":0.000023249211,"threshold_uncertainty_score":0.50976706},"labels":[],"label_agreement":null},{"id":"W3048322384","doi":"10.20955/wp.2020.023","title":"Job Applications and Labor Market Flows","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.028996688503492123,"score_gpt":0.23599197992985452,"score_spread":0.2069952914263624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048322384","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15071969,0.006891349,0.06270583,0.021680074,0.0011594811,0.0021102452,0.01117243,0.00040566837,0.74315524],"genre_scores_gemma":[0.97799265,0.0026291467,0.010506492,0.0019201332,0.00040620138,0.0003949136,0.00018579047,0.000062960666,0.0059017143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820507,0.000021601487,0.0006843884,0.00083199993,0.000034114073,0.00022285829],"domain_scores_gemma":[0.99875957,0.00006945753,0.00031338324,0.00064572925,0.00004754807,0.00016433958],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054600614,0.0002526243,0.0005722556,0.00011041454,0.00007633291,0.00020493368,0.00035296963,0.0002783197,0.0016575316],"category_scores_gemma":[0.00009213301,0.00028898098,0.000117812524,0.00016980745,0.000041208375,0.00006238875,0.0007891209,0.00043786564,0.00018679877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094049365,0.00003259345,0.0541691,0.00023583535,0.000083104045,0.0000023638459,0.00006752533,0.000011194863,0.0000018485492,0.94183034,0.0023461834,0.0012105384],"study_design_scores_gemma":[0.00018900109,0.000010108368,0.05842739,0.000011079814,0.000010588187,8.6470544e-7,0.000013598557,0.015698398,0.0000011456052,0.76546365,0.15977062,0.0004035285],"about_ca_topic_score_codex":0.00040174404,"about_ca_topic_score_gemma":0.000093797564,"teacher_disagreement_score":0.82727295,"about_ca_system_score_codex":0.000060413142,"about_ca_system_score_gemma":0.000037427286,"threshold_uncertainty_score":0.99995625},"labels":[],"label_agreement":null},{"id":"W3049410261","doi":"10.2139/ssrn.3669493","title":"The Bottom 20%: Early Career Paths of Adolescents with Low GPA","year":2020,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Unobservable; Wage; Psychology; Demographic economics; Economics; Labour economics; Developmental psychology; Econometrics","score_opus":0.013259093257000825,"score_gpt":0.20497090189268274,"score_spread":0.1917118086356819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049410261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734113,0.011150768,0.010354302,0.0019955314,0.00083550846,0.00039759424,0.00044898875,0.000027480883,0.0013785107],"genre_scores_gemma":[0.9891302,0.009784737,0.00007089053,0.000099680234,0.00036983122,0.000012807659,0.00001869274,0.00006663656,0.00044652272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963605,0.00008618602,0.0010804577,0.0005209452,0.00017272134,0.0017792222],"domain_scores_gemma":[0.99744767,0.000041583204,0.0015650103,0.00061524415,0.0001865732,0.00014392508],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029165044,0.0003537299,0.0007185598,0.000119916236,0.0002247041,0.00023994815,0.0010735623,0.00026456255,0.000014230002],"category_scores_gemma":[0.00012772567,0.00027559669,0.00034165208,0.00021278013,0.00010930944,0.000105129104,0.00032542078,0.005084249,0.000024100556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036226242,0.00014952439,0.24153455,0.00019528242,0.0008878559,0.000016759124,0.00035134246,0.00018263089,0.000010339229,0.752894,0.00005828136,0.0033571755],"study_design_scores_gemma":[0.00075024425,0.00032168016,0.028632296,0.00024794767,0.000045120487,0.000027943359,0.00018930873,0.00067663996,0.000009349824,0.96746814,0.0011565057,0.00047481313],"about_ca_topic_score_codex":0.0005777303,"about_ca_topic_score_gemma":0.0009038717,"teacher_disagreement_score":0.21457414,"about_ca_system_score_codex":0.0008709015,"about_ca_system_score_gemma":0.001553513,"threshold_uncertainty_score":0.9999696},"labels":[],"label_agreement":null},{"id":"W3049723838","doi":"10.2139/ssrn.3674312","title":"The Changing Composition of Academic Majors and Wage Dynamics","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Composition (language); Wage; Dynamics (music); Labour economics; Economics; Demographic economics; Psychology; Pedagogy; Art","score_opus":0.012429822333975707,"score_gpt":0.2178473868776319,"score_spread":0.20541756454365617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049723838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96686906,0.006675466,0.018815257,0.0066208355,0.00012586532,0.000081176564,0.00004209121,0.000010690402,0.00075953966],"genre_scores_gemma":[0.9862577,0.013272138,0.000034136083,0.00019687995,0.00011575881,0.0000014826688,0.0000054777506,0.0000137565585,0.00010270682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984872,0.000029341927,0.00045511866,0.00014648588,0.000041423187,0.00084047904],"domain_scores_gemma":[0.99937904,0.0000606103,0.00038017193,0.00008882312,0.000027065877,0.00006430556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021001487,0.00009091795,0.00019784903,0.0000677596,0.00022818736,0.000043073986,0.0002068911,0.000066914494,0.000006079014],"category_scores_gemma":[0.000068883804,0.00007897177,0.000068467714,0.00020380634,0.000053875283,0.00012466127,0.000059047874,0.0010582278,0.0000057542866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002753984,0.0000060776815,0.011708944,0.00000706309,0.00005414439,6.989576e-7,0.00025234447,0.000014291986,0.000029901159,0.98365504,0.0000036643626,0.0042403033],"study_design_scores_gemma":[0.00044009,0.00012914355,0.0032096312,0.000010875025,0.000010542012,0.00004862823,0.0010934739,0.023411471,0.0000141670225,0.9708725,0.0006114985,0.00014795864],"about_ca_topic_score_codex":0.0000272494,"about_ca_topic_score_gemma":0.000058809852,"teacher_disagreement_score":0.02339718,"about_ca_system_score_codex":0.00026656277,"about_ca_system_score_gemma":0.000090618305,"threshold_uncertainty_score":0.45975322},"labels":[],"label_agreement":null},{"id":"W305699856","doi":"10.1016/j.qref.2018.05.004","title":"Unemployment fluctuations in a small open-economy model with segmented labour markets: The case of Canada","year":2018,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Economics; Unemployment; Small open economy; Recession; Financial crisis; General equilibrium theory; Labour economics; Dynamic stochastic general equilibrium; Monetary economics; Macroeconomics; Monetary policy","score_opus":0.02159746784578973,"score_gpt":0.2268973290754445,"score_spread":0.20529986122965477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W305699856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98055726,0.009131127,0.00043792243,0.0038833793,0.00007082991,0.0008049954,0.0005564653,0.000002122136,0.004555921],"genre_scores_gemma":[0.97950625,0.018194865,0.00060006365,0.00125278,0.000021221356,0.00008810171,0.000007069925,0.000016488428,0.0003131713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983967,0.000046681158,0.0010080818,0.00031680107,0.000008412134,0.00022332577],"domain_scores_gemma":[0.9982726,0.00011091489,0.0008415103,0.0006580333,0.00008569544,0.000031242096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017148217,0.00016939307,0.00060042023,0.00004124757,0.00012485264,0.0000447406,0.0005002874,0.00003391426,0.000032105047],"category_scores_gemma":[0.00002167833,0.000119421675,0.00004941582,0.00018695448,0.00018868133,0.00014048336,0.000079741345,0.000104920386,0.0000015205346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004349907,0.000053622647,0.0006491783,0.00039450394,0.000050840168,0.000004931769,0.0003297666,0.00022374242,3.4729337e-7,0.9929245,0.00012311817,0.005201947],"study_design_scores_gemma":[0.0023700185,0.0007305861,0.007224087,0.0017552518,0.000058336085,0.00012140953,0.00059405033,0.29815474,0.00001405243,0.6476807,0.04046686,0.0008299136],"about_ca_topic_score_codex":0.07809376,"about_ca_topic_score_gemma":0.3683811,"teacher_disagreement_score":0.3452438,"about_ca_system_score_codex":0.00009119514,"about_ca_system_score_gemma":0.00022686645,"threshold_uncertainty_score":0.9280453},"labels":[],"label_agreement":null},{"id":"W3082153786","doi":"10.1086/711409","title":"People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Salary; Attrition; Skills management; Promotion (chess); Affect (linguistics); Social skills; Turnover; Business; Interpersonal communication; Survey data collection; Psychology; Marketing; Social psychology; Management; Economics","score_opus":0.029442698083257963,"score_gpt":0.27128533042742975,"score_spread":0.24184263234417178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082153786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92830324,0.0003216775,0.020484481,0.020803925,0.00014106545,0.00013541261,0.00015792233,0.000021059357,0.029631196],"genre_scores_gemma":[0.991364,0.00007757243,0.0025549475,0.005586384,0.00031153756,0.0000034530976,0.0000125816805,0.000018074192,0.00007146682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99800515,0.00005129705,0.0011668098,0.00034325666,0.000054268992,0.00037920542],"domain_scores_gemma":[0.9985347,0.00010035322,0.00038728412,0.00023183328,0.00008804706,0.0006577901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074553996,0.00016498096,0.00075671636,0.00033268402,0.00006689523,0.00016490978,0.0002536294,0.0000917494,0.00040598976],"category_scores_gemma":[0.00012647793,0.00017089935,0.00029944628,0.00042090204,0.00006597691,0.00044473668,0.000097694036,0.00022308303,0.000038889408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019663232,0.0001239548,0.32310155,0.000052203606,0.00052447926,0.000033401382,0.00016686074,0.000024141113,1.640122e-7,0.6755342,0.00027586473,0.00014353069],"study_design_scores_gemma":[0.00089826423,0.00019574205,0.6194479,0.000008553977,0.0002585029,0.000017202643,0.00034604475,0.002910282,0.0000022564648,0.35766545,0.017942812,0.0003069804],"about_ca_topic_score_codex":0.000048315953,"about_ca_topic_score_gemma":0.000018491111,"teacher_disagreement_score":0.31786874,"about_ca_system_score_codex":0.00011653511,"about_ca_system_score_gemma":0.00001930866,"threshold_uncertainty_score":0.6969073},"labels":[],"label_agreement":null},{"id":"W3083377215","doi":"","title":"Évolution séculaire du profil des salaires en fonction de l’âge : Québec, Canada et États-Unis","year":2020,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02143163539214746,"score_gpt":0.2299304607728792,"score_spread":0.20849882538073175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083377215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94479966,0.009050043,0.005514555,0.024568962,0.0028251484,0.000896047,0.00038783156,0.00012201261,0.011835748],"genre_scores_gemma":[0.99289906,0.001786267,0.00082447095,0.0020774894,0.00066432386,0.00009067446,0.00013859064,0.00008069995,0.0014384176],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965408,0.00024252963,0.0014042387,0.0009434197,0.00015700766,0.0007119998],"domain_scores_gemma":[0.9978648,0.00015927694,0.0010320473,0.00052114634,0.000181356,0.00024139986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017955195,0.00039343198,0.00067451154,0.000121064586,0.000520245,0.00018125406,0.00020443209,0.0003117239,0.00020303726],"category_scores_gemma":[0.0017880818,0.0005010069,0.00024203869,0.00062267034,0.00030446326,0.0004919102,0.00013383247,0.00044321181,0.000014421937],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011177542,0.00022649221,0.91637844,0.0012100962,0.00027938807,0.0016077891,0.004734968,0.0005112485,0.00007405567,0.041454136,0.0136201065,0.019791521],"study_design_scores_gemma":[0.0007146004,0.0003029325,0.45057583,0.00023767461,0.00010975886,0.0005314705,0.00043027592,0.01608225,0.00013852515,0.023315405,0.50637764,0.001183637],"about_ca_topic_score_codex":0.9488928,"about_ca_topic_score_gemma":0.87556225,"teacher_disagreement_score":0.49275756,"about_ca_system_score_codex":0.0031125767,"about_ca_system_score_gemma":0.0048033088,"threshold_uncertainty_score":0.9997442},"labels":[],"label_agreement":null},{"id":"W3083685812","doi":"10.2139/ssrn.3585676","title":"Technological Change and Occupations over the Long Run","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Economics","score_opus":0.022701375210091825,"score_gpt":0.22981632834760649,"score_spread":0.20711495313751466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083685812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987446,0.0049910415,0.003322564,0.0021567484,0.00017246981,0.0001645654,0.00001987402,0.0000198415,0.0017069086],"genre_scores_gemma":[0.9939216,0.0049846154,0.000021256348,0.00028765973,0.00010676603,0.000008850484,0.0000025826225,0.000010976696,0.00065574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986251,0.000022974162,0.0002785404,0.00018641315,0.00003788348,0.00084908406],"domain_scores_gemma":[0.9994921,0.000049654664,0.00019550088,0.00020845699,0.000020242886,0.000034054683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021427888,0.00009630379,0.00017153268,0.00008926143,0.00016137937,0.000086481305,0.00022286434,0.00008970874,0.00014425268],"category_scores_gemma":[0.000070515256,0.00007106164,0.00006746798,0.00017346493,0.00007192706,0.00017732268,0.00006522112,0.00096150924,0.00008602756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052916434,0.000015941476,0.25581002,0.0000018558138,0.000028988783,5.647614e-7,0.000038698156,9.255063e-7,0.000001653565,0.7403749,0.0000049748896,0.0037161517],"study_design_scores_gemma":[0.00027185076,0.00006700847,0.2792929,0.0000038828434,0.0000039728016,0.000049778468,0.00010318943,0.00049224036,6.7690996e-7,0.71635854,0.0032483651,0.00010757339],"about_ca_topic_score_codex":0.00009753903,"about_ca_topic_score_gemma":0.00027102517,"teacher_disagreement_score":0.024016403,"about_ca_system_score_codex":0.00024126846,"about_ca_system_score_gemma":0.000072023526,"threshold_uncertainty_score":0.41773328},"labels":[],"label_agreement":null},{"id":"W3088543624","doi":"10.1093/restud/rdad012","title":"The Effects of Partial Employment Protection Reforms: Evidence from Italy","year":2023,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economic rent; Earnings; Labour economics; Economics; Collective bargaining; Business; Finance; Market economy","score_opus":0.076919085449085,"score_gpt":0.31081345767978374,"score_spread":0.23389437223069875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088543624","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52800053,0.4654518,0.000033020948,0.003891134,0.0010709871,0.0009159599,0.00008564545,0.000022893364,0.0005280206],"genre_scores_gemma":[0.47815356,0.52133834,0.000009573484,0.00007234391,0.00007616546,0.00017067378,0.0000021169124,0.000008714848,0.0001684757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985033,0.000074075644,0.0009831674,0.00022786985,0.00003477671,0.00017679225],"domain_scores_gemma":[0.9974471,0.0010875836,0.0008532978,0.0005528155,0.00004037826,0.00001883043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002693288,0.00012666988,0.00063394493,0.00003600668,0.00014677829,0.000013887599,0.00033766104,0.000027097758,0.000016461006],"category_scores_gemma":[0.0014900337,0.0000740705,0.00019487883,0.0001565072,0.00016351555,0.000103269835,0.00020405164,0.00007825686,0.00013698885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029429846,0.00020288074,0.040675305,0.041142363,0.0067225695,0.0000061549977,0.006109193,0.00018998401,0.0002599064,0.74602896,0.011179396,0.14718898],"study_design_scores_gemma":[0.0014994142,0.00092657964,0.12402776,0.033748955,0.00044804646,0.0000027595786,0.0010668407,0.003194282,0.0024959005,0.7354147,0.09598268,0.001192124],"about_ca_topic_score_codex":0.0005545405,"about_ca_topic_score_gemma":0.000062776715,"teacher_disagreement_score":0.14599685,"about_ca_system_score_codex":0.00012609942,"about_ca_system_score_gemma":0.000019478905,"threshold_uncertainty_score":0.3020507},"labels":[],"label_agreement":null},{"id":"W3090454438","doi":"10.2139/ssrn.3695052","title":"The Geography of Jobs and the Gender Wage Gap","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Wage; Economic geography; Geography; Labour economics; Economics","score_opus":0.019929557995143666,"score_gpt":0.2060314466261803,"score_spread":0.18610188863103663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090454438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90949774,0.051990237,0.008907343,0.019506156,0.00026043123,0.00021854298,0.00004126057,0.000014072015,0.009564201],"genre_scores_gemma":[0.9737607,0.025547888,0.000021291546,0.0004611242,0.00012748467,0.000002871097,8.4429337e-7,0.00001165703,0.000066089844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984907,0.00006439433,0.00047149722,0.00015138763,0.00005045899,0.000771558],"domain_scores_gemma":[0.99922943,0.00014609956,0.00036588788,0.0001651624,0.000036527163,0.000056878023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00374229,0.000096658034,0.00023344858,0.000036653164,0.00027525995,0.00008759465,0.00031533558,0.000041858362,0.000019346766],"category_scores_gemma":[0.00018046927,0.00005845265,0.00015862736,0.00018090269,0.00017216272,0.00008107557,0.000060431677,0.0008173445,0.000007009443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000753114,0.000008336829,0.0402521,0.0000040921796,0.00015363129,4.0635322e-7,0.00017280052,0.000006222246,0.0000018921864,0.9574264,0.000022138129,0.001876662],"study_design_scores_gemma":[0.0009381631,0.000063468935,0.019167915,0.0000016736733,0.0000118602,0.000016199989,0.00031113022,0.0010179043,0.0000019025014,0.97407573,0.004306003,0.00008803405],"about_ca_topic_score_codex":0.00008310775,"about_ca_topic_score_gemma":0.00006424659,"teacher_disagreement_score":0.06426299,"about_ca_system_score_codex":0.000056356243,"about_ca_system_score_gemma":0.00011394879,"threshold_uncertainty_score":0.35510007},"labels":[],"label_agreement":null},{"id":"W3090716200","doi":"10.3917/rpve.592.0135","title":"Tous les travailleurs bénéficient-ils autant du partage de la rente ?","year":2020,"lang":"fr","type":"article","venue":"Reflets et perspectives de la vie économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03276291499023785,"score_gpt":0.27071996959032646,"score_spread":0.23795705460008862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090716200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8051537,0.025081176,0.013761898,0.03055148,0.00055418565,0.0004885687,0.001143265,0.00014615094,0.12311953],"genre_scores_gemma":[0.9518434,0.040214363,0.0022016282,0.002727428,0.0006117576,0.00005938475,0.000024257355,0.00012933227,0.002188485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99522525,0.0012469495,0.0010832067,0.0012861539,0.000053945685,0.001104518],"domain_scores_gemma":[0.99684316,0.0012095551,0.000691288,0.0005928276,0.000093311784,0.00056984887],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042020045,0.0005858849,0.0010622377,0.0001985882,0.0002594782,0.00064076774,0.00063645426,0.0007506489,0.00096626335],"category_scores_gemma":[0.001672634,0.0007462535,0.00053120544,0.00036911873,0.00083691836,0.00042020445,0.00023638665,0.0012321863,0.00013935164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018491154,0.0005796299,0.031307574,0.00021177645,0.00031910554,0.00029585595,0.0209191,0.0024431963,0.00021513068,0.9379477,0.00094887,0.0046271747],"study_design_scores_gemma":[0.0025767842,0.00055716035,0.056118153,0.00024889945,0.00011200449,0.0001953346,0.00795359,0.052869543,0.00016833699,0.122377664,0.7550656,0.0017569098],"about_ca_topic_score_codex":0.0015959042,"about_ca_topic_score_gemma":0.00029480527,"teacher_disagreement_score":0.81557,"about_ca_system_score_codex":0.0017080496,"about_ca_system_score_gemma":0.00040699198,"threshold_uncertainty_score":0.999947},"labels":[],"label_agreement":null},{"id":"W3091554292","doi":"","title":"Employer Transit Subsidy Study: Main Report","year":2020,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Subsidy; Transit (satellite); Business; Economics; Transport engineering; Public transport; Engineering","score_opus":0.030079186206082163,"score_gpt":0.20843851715976225,"score_spread":0.1783593309536801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091554292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654686,0.00006637535,0.0042254715,0.0019058585,0.0002308179,0.00033427967,0.00031292345,0.00012251805,0.02733314],"genre_scores_gemma":[0.9964731,0.000038532955,0.00012237807,0.00051095296,0.00009020288,0.0000010092386,0.000043542612,0.000030609248,0.0026896822],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837446,0.000056490295,0.00046427903,0.0006991982,0.00007614691,0.00032943438],"domain_scores_gemma":[0.99895287,0.000041566054,0.00023836155,0.0004694348,0.00004989245,0.00024790614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044063816,0.00021242395,0.00045296288,0.00021267554,0.0001473532,0.0000632571,0.0004482835,0.00011856869,0.00061523844],"category_scores_gemma":[0.000084540865,0.0002743633,0.00017824883,0.000893338,0.00005129932,0.00032206616,0.00011126886,0.0002476453,0.00024953223],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008543947,0.00019697947,0.9624594,0.000017811792,0.00010896161,0.0018919226,0.00012679971,0.000066772554,9.759692e-7,0.03276024,0.002172605,0.000112080044],"study_design_scores_gemma":[0.0043482757,0.0005214532,0.123664506,0.000014375144,0.00009816659,8.540672e-8,0.016606444,0.0013508564,0.00004847642,0.011845262,0.84016055,0.0013415344],"about_ca_topic_score_codex":0.0005903016,"about_ca_topic_score_gemma":0.011665149,"teacher_disagreement_score":0.8387949,"about_ca_system_score_codex":0.00013003086,"about_ca_system_score_gemma":0.000039073013,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W3093923047","doi":"","title":"Retracted: Education and gender wage gap: Evidence from Indonesia","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":true,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Gender gap; Labour economics; Political science; Economics; Demographic economics; Psychology","score_opus":0.05707635391725666,"score_gpt":0.26469644963130634,"score_spread":0.20762009571404968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093923047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98473364,0.0065444773,0.0010611508,0.00048568813,0.00056091987,0.000055158067,0.000048206064,0.000024717352,0.0064860703],"genre_scores_gemma":[0.9966375,0.0006038548,0.0016083143,0.00062378566,0.00028199912,0.000007169188,0.000039607425,0.00001625522,0.00018148514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989867,0.00002116986,0.00038314768,0.0003944326,0.00004086564,0.0001736516],"domain_scores_gemma":[0.9991623,0.00016756369,0.00024279504,0.0002951168,0.00008916074,0.00004305812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065299077,0.00010035535,0.00019791696,0.00006210421,0.000098572105,0.00022888184,0.000107082415,0.000114805036,0.00025223775],"category_scores_gemma":[0.0005883696,0.00012271114,0.00003916844,0.00022222371,0.000018596205,0.00055437966,0.000093462564,0.0001853916,0.00005955585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031529435,0.00004347347,0.9516056,0.000027942755,0.00002140533,0.0000052753776,0.00040432555,0.0000017674646,0.000338605,0.040875994,0.00011596288,0.0065564807],"study_design_scores_gemma":[0.00011200864,0.0000029667312,0.9043154,0.000043963988,0.0000075013877,0.0000041048443,0.00014110474,0.000721539,0.000070352595,0.09196822,0.002419927,0.00019291228],"about_ca_topic_score_codex":0.00086445635,"about_ca_topic_score_gemma":0.00006115739,"teacher_disagreement_score":0.051092226,"about_ca_system_score_codex":0.000053295505,"about_ca_system_score_gemma":0.00006202188,"threshold_uncertainty_score":0.50040144},"labels":[],"label_agreement":null},{"id":"W3095520721","doi":"10.7202/1072346ar","title":"Projecting Grid Compression to Reduce Gender Salary Gaps","year":2020,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Salary; Compression (physics); Grid; Rank (graph theory); Closure (psychology); Work (physics); Demographic economics; Political science; Economics; Mathematics; Engineering; Physics; Law","score_opus":0.09383269943077874,"score_gpt":0.2661599017526236,"score_spread":0.17232720232184487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095520721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9058373,0.0009844004,0.010300127,0.012813255,0.0006050614,0.00051380444,0.00038757906,0.00015193345,0.068406515],"genre_scores_gemma":[0.99651015,0.000041971573,0.0016473926,0.0007276591,0.00037083446,0.000018788634,0.000056216053,0.000023844883,0.0006031721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879223,0.000032507654,0.0005238066,0.00038524336,0.000048978407,0.00021724045],"domain_scores_gemma":[0.99926925,0.00009297531,0.00019434698,0.00023866871,0.000042219293,0.00016252238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466142,0.00012898221,0.00022462184,0.00011770673,0.00021393027,0.000068943365,0.00018478828,0.00018196579,0.0003777404],"category_scores_gemma":[0.00058063166,0.00014512565,0.00006530523,0.0006400991,0.000021040069,0.00016483536,0.00011873892,0.0003740234,0.00044239615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009295026,0.00023128897,0.36682796,0.000029865485,0.00016959744,0.00001866965,0.0065207323,0.009585374,0.00046106748,0.5460446,0.057853483,0.012164397],"study_design_scores_gemma":[0.0014304696,0.00017402742,0.10626346,0.00010010105,0.00003064925,0.000008336302,0.0013250747,0.03198482,0.00068568933,0.048097126,0.80862516,0.0012750634],"about_ca_topic_score_codex":0.00006626959,"about_ca_topic_score_gemma":0.0000019780946,"teacher_disagreement_score":0.7507717,"about_ca_system_score_codex":0.000068170804,"about_ca_system_score_gemma":0.0000470192,"threshold_uncertainty_score":0.5918053},"labels":[],"label_agreement":null},{"id":"W3096075623","doi":"10.3846/jbem.2020.13648","title":"LABOR MARKET DISCRIMINATION – ARE WOMEN STILL MORE SECONDARY WORKERS?","year":2020,"lang":"en","type":"article","venue":"Journal of Business Economics and Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Demographic economics; Economics; Labour economics; Gender discrimination; Scale (ratio); Geography; Economic growth","score_opus":0.018872186751170306,"score_gpt":0.20282711614476692,"score_spread":0.18395492939359662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096075623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638204,0.0011741143,0.0025643462,0.023737947,0.00065002247,0.0002082332,0.00023346744,0.000012625552,0.007598873],"genre_scores_gemma":[0.98222464,0.013334315,0.0010823001,0.002512119,0.00025853375,0.0000104824,0.000008039283,0.000031487707,0.00053806533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984837,0.00001600354,0.0009200479,0.00029295712,0.000038491107,0.00024877093],"domain_scores_gemma":[0.99830085,0.000028523615,0.0011894384,0.00017922508,0.000110671695,0.00019126697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007755037,0.00018571901,0.00054768723,0.00020529101,0.00006163188,0.00019244976,0.0002510608,0.000065227425,0.00023943913],"category_scores_gemma":[0.000061026254,0.00019465708,0.00008539187,0.00022153895,0.000047628357,0.0005018227,0.00017235026,0.00014152675,0.000009377631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012540238,0.0005889525,0.12984675,0.0028190573,0.0017662188,0.0002892637,0.0057754386,0.0039482424,0.0000063901607,0.77441245,0.013786356,0.06550684],"study_design_scores_gemma":[0.0019484563,0.000084922736,0.6329213,0.00006893197,0.000036434987,0.000010828835,0.0021046228,0.006002936,0.0000018192654,0.029010685,0.3273923,0.00041673705],"about_ca_topic_score_codex":0.000018196588,"about_ca_topic_score_gemma":0.000008378575,"teacher_disagreement_score":0.7454018,"about_ca_system_score_codex":0.00015913803,"about_ca_system_score_gemma":0.000024809098,"threshold_uncertainty_score":0.79378855},"labels":[],"label_agreement":null},{"id":"W3096471403","doi":"10.1257/jep.34.4.52","title":"Growing Income Inequality in the United States and Other Advanced Economies","year":2020,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Economic inequality; Inequality; Earnings; Income distribution; Income inequality metrics; Labour economics; Human capital; Demographic economics; Distribution (mathematics); Economic growth","score_opus":0.03285082440123452,"score_gpt":0.25901667078328205,"score_spread":0.22616584638204754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096471403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98525375,0.0016966012,0.00028069393,0.01101591,0.000100451805,0.000112235866,0.00008846895,0.0000060471975,0.0014458456],"genre_scores_gemma":[0.9961226,0.0014527488,0.00011382525,0.0021291324,0.0001534438,0.0000023462678,0.0000012936031,0.000014836131,0.000009802774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986292,0.0001667847,0.0008184461,0.0001765213,0.000025069956,0.00018399252],"domain_scores_gemma":[0.9985301,0.00047909244,0.0007007327,0.00020140187,0.000027057275,0.000061644074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002744648,0.00014407771,0.00042046022,0.00014852377,0.000092110444,0.00009095809,0.00045884718,0.000042224518,0.000085743355],"category_scores_gemma":[0.0001841452,0.00009981473,0.00009125413,0.00014682807,0.00014827262,0.00043731646,0.00009742206,0.0003073763,0.000014175409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045432933,0.00008255134,0.16166319,0.00003800037,0.0002246566,0.000007424167,0.07929579,0.0089411745,0.000033624467,0.7486645,0.00007702187,0.0005177132],"study_design_scores_gemma":[0.0030486768,0.00049195194,0.18415393,0.000048283582,0.000035969504,0.000053700845,0.12167383,0.031400066,0.000025921456,0.648395,0.01007477,0.0005978855],"about_ca_topic_score_codex":0.0007298467,"about_ca_topic_score_gemma":0.0001493006,"teacher_disagreement_score":0.100269504,"about_ca_system_score_codex":0.00016283263,"about_ca_system_score_gemma":0.000025622288,"threshold_uncertainty_score":0.40703264},"labels":[],"label_agreement":null},{"id":"W3100139038","doi":"10.1111/rode.12741","title":"The impact of minimum wages on wages, wage spillovers, and employment in China: Evidence from longitudinal individual‐level data","year":2020,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Minimum wage; Economics; Wage; Efficiency wage; Labour economics; Point (geometry); Percentage point; China; Low wage; Distribution (mathematics); Demographic economics","score_opus":0.15596021472905308,"score_gpt":0.3056414348153976,"score_spread":0.1496812200863445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100139038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305571,0.06465578,0.00007995427,0.0016449993,0.00010299948,0.00045858743,0.0021975937,0.0000067374917,0.00029624574],"genre_scores_gemma":[0.7476116,0.25069907,0.0012239139,0.00021735237,0.000029101271,0.000010801628,0.00017500395,0.000018743021,0.0000144364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728066,0.0000561074,0.001683278,0.0006433644,0.00006296853,0.00027364003],"domain_scores_gemma":[0.9976665,0.00037069136,0.0010537958,0.0007655912,0.000027514852,0.00011594046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002248822,0.000267598,0.00094928965,0.00007725611,0.00006447469,0.00005761922,0.0009288293,0.00007126729,0.00008492472],"category_scores_gemma":[0.00068559183,0.00022054058,0.000116519,0.00019218869,0.00008254271,0.00030775636,0.00064614706,0.00017817602,0.00001925676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014589366,0.00021724057,0.9281922,0.0018336612,0.0007212972,0.000007032294,0.0010835367,0.00009522566,0.000009487951,0.014230715,0.001212836,0.052250855],"study_design_scores_gemma":[0.0004933122,0.00011991953,0.9887169,0.0020841837,0.000020465977,7.78613e-7,0.000023334596,0.00068993546,0.000040787996,0.0022939425,0.005184283,0.0003321296],"about_ca_topic_score_codex":0.0006490326,"about_ca_topic_score_gemma":0.00014974161,"teacher_disagreement_score":0.18604329,"about_ca_system_score_codex":0.00017906133,"about_ca_system_score_gemma":0.00018053016,"threshold_uncertainty_score":0.89933836},"labels":[],"label_agreement":null},{"id":"W3100568953","doi":"10.20955/wp.2022.002","title":"Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital","year":2022,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Human capital; Inequality; Labour economics; Economics; Business; Demographic economics; Accounting; Mathematics","score_opus":0.034575359238954426,"score_gpt":0.29014645650598486,"score_spread":0.2555710972670304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100568953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8968295,0.0012569883,0.00008655073,0.00010253119,0.00076457305,0.0004217078,0.004148784,0.000056793477,0.09633259],"genre_scores_gemma":[0.989926,0.0025401535,0.00016281761,0.00010719502,0.00018218617,0.000081773316,0.0006523495,0.00011078677,0.0062367707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99468905,0.00023664444,0.0029499081,0.0011890755,0.00033801745,0.00059733435],"domain_scores_gemma":[0.9954288,0.00017239957,0.0028700295,0.0011688049,0.00020489327,0.0001550717],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076992926,0.0005302822,0.0020235488,0.00085061596,0.00016572436,0.00008085768,0.000718764,0.0005486947,0.00827894],"category_scores_gemma":[0.0008992743,0.0006249253,0.00058878714,0.0005978636,0.0001198977,0.00017301191,0.0006855234,0.0013651013,0.00006523025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021630043,0.00023763809,0.9588539,0.0002898677,0.00026675168,0.00003263083,0.00029285712,0.00006420621,0.0000014981753,0.038857173,0.00084394246,0.00023792364],"study_design_scores_gemma":[0.0009451078,0.00019890163,0.8435715,0.000049094753,0.000043653607,0.000008498136,0.00009556408,0.00020192347,0.00000948093,0.034009896,0.119753234,0.001113138],"about_ca_topic_score_codex":0.06629726,"about_ca_topic_score_gemma":0.004539017,"teacher_disagreement_score":0.11890929,"about_ca_system_score_codex":0.0007774015,"about_ca_system_score_gemma":0.00031335233,"threshold_uncertainty_score":0.9996202},"labels":[],"label_agreement":null},{"id":"W310277757","doi":"","title":"Investigation of Earning Differentials Between Visible Minorities and Whites and Ethnic Groups: From Canadian Evidence","year":2015,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Demographic economics; Demography; Geography; Political science; Economics; Sociology","score_opus":0.21614139473573565,"score_gpt":0.29641096474845724,"score_spread":0.08026957001272159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W310277757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957117,0.0010305855,0.00016663752,0.0008793783,0.000027339946,0.000101486316,0.00031137594,0.0000051677134,0.0017663518],"genre_scores_gemma":[0.9985001,0.00051387167,0.00055709726,0.000007465975,0.000023927898,2.3316828e-7,0.000024808458,0.0000052984115,0.0003671858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915385,0.0001239152,0.00018067668,0.00023629755,0.00010043146,0.00020484968],"domain_scores_gemma":[0.99885327,0.00040223185,0.00014177512,0.00017204274,0.00016341887,0.00026727482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019516605,0.000064777596,0.0002671258,0.00042304787,0.00012267905,0.000034404933,0.00019915462,0.00008886009,0.00006623402],"category_scores_gemma":[0.0005061695,0.00008612021,0.00002518586,0.00029306044,0.00033181644,0.00036958285,0.00014734513,0.00016228082,0.000005231439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026158557,0.0000033232768,0.9597127,0.000054484495,0.000026263026,0.0000019876843,0.0017815758,0.0000010496302,0.000056978508,0.037630588,0.0000787937,0.0006496659],"study_design_scores_gemma":[0.0002605078,0.000079131336,0.9321713,0.00006190756,0.000006097297,1.4208693e-7,0.0015536401,0.000531138,0.000040809446,0.06468651,0.0005222846,0.00008655267],"about_ca_topic_score_codex":0.19104739,"about_ca_topic_score_gemma":0.095626995,"teacher_disagreement_score":0.09542039,"about_ca_system_score_codex":0.000086593915,"about_ca_system_score_gemma":0.000093841205,"threshold_uncertainty_score":0.92087543},"labels":[],"label_agreement":null},{"id":"W3104512200","doi":"10.1086/729103","title":"Firm Heterogeneity in Skill Returns","year":2023,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Economics; Labour economics; Monetary economics","score_opus":0.03186073783264982,"score_gpt":0.25126184356750414,"score_spread":0.21940110573485433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104512200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415916,0.0005098639,0.00004218327,0.0016194542,0.001190677,0.000077487755,0.00032376908,0.000016692493,0.0020607254],"genre_scores_gemma":[0.9958925,0.0027092402,0.00043724634,0.00042326775,0.00023711404,0.000002768627,0.000009357998,0.000029538858,0.00025896498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978908,0.000027550632,0.001482242,0.00023743178,0.000029461995,0.00033253606],"domain_scores_gemma":[0.9983881,0.00011077203,0.0010031642,0.00030218138,0.000070898335,0.00012486287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002261692,0.00015275308,0.0006071488,0.0005234458,0.000039855015,0.000079939266,0.0003765653,0.00013377868,0.00010872301],"category_scores_gemma":[0.00026829893,0.0001700389,0.00020755852,0.0004725183,0.00003466748,0.00037663375,0.00008073159,0.00029055073,0.00016949417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080783604,0.00014351295,0.72546154,0.000038816263,0.00011190622,0.00008682352,0.00062352396,0.0028210045,0.000018974957,0.26921156,0.00047711964,0.0009244346],"study_design_scores_gemma":[0.0015727766,0.00013389305,0.59097135,0.00003409811,0.000007513179,0.000032481406,0.00016497559,0.0050825183,0.000079583675,0.35245794,0.04905837,0.00040453332],"about_ca_topic_score_codex":0.00006993223,"about_ca_topic_score_gemma":0.00032622094,"teacher_disagreement_score":0.13449022,"about_ca_system_score_codex":0.00026237426,"about_ca_system_score_gemma":0.000062175364,"threshold_uncertainty_score":0.69339854},"labels":[],"label_agreement":null},{"id":"W3105406543","doi":"","title":"Wages, Worker Mobility, and the Macroeconomy","year":2020,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Government of Ontario","keywords":"Labour economics; Economics; Demographic economics","score_opus":0.021315647422156903,"score_gpt":0.2683314591059956,"score_spread":0.24701581168383868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105406543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49426362,0.015760284,0.0002499558,0.00904543,0.0015620744,0.001033133,0.00019651001,0.00009362233,0.47779536],"genre_scores_gemma":[0.9528207,0.0019076412,0.00020246462,0.0007214669,0.00021428675,0.000104466584,0.0003483418,0.000062573985,0.04361804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985237,0.000043165892,0.0005656375,0.00058203796,0.000038472775,0.00024697479],"domain_scores_gemma":[0.9987418,0.0001611825,0.0004916533,0.00047799392,0.000033728764,0.000093656396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008901833,0.00026990025,0.0006822487,0.00006658347,0.00012952716,0.00019412208,0.0003106078,0.00023015484,0.00066004286],"category_scores_gemma":[0.0002014673,0.00023292385,0.00016813743,0.00016211624,0.00010188665,0.00007167679,0.00008261275,0.00043709198,0.00023065117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025591112,0.000035195368,0.0037205953,0.00018526062,0.00015798536,0.0000056341123,0.0052196938,0.000002936851,0.0000012473967,0.98697364,0.0011688465,0.002273027],"study_design_scores_gemma":[0.0023912073,0.000042411422,0.027737446,0.00006631702,0.00006411072,0.0000031055386,0.0025403248,0.0024158328,0.000014549254,0.48462364,0.47919214,0.0009089207],"about_ca_topic_score_codex":0.0008637152,"about_ca_topic_score_gemma":0.0003424793,"teacher_disagreement_score":0.50235003,"about_ca_system_score_codex":0.000058791327,"about_ca_system_score_gemma":0.0000322104,"threshold_uncertainty_score":0.9498359},"labels":[],"label_agreement":null},{"id":"W3106955483","doi":"10.3138/cpp.2019-070","title":"Does an Increase in the Minimum Wage Decrease Employment? A Meta-Analysis of Canadian Studies","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Minimum wage; Meta-analysis; Publication bias; Meta-regression; Economics; Wage; Demographic economics; Labour economics; Regression analysis; Statistics; Medicine","score_opus":0.15103063730704808,"score_gpt":0.29446490515470314,"score_spread":0.14343426784765506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106955483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8267577,0.0015467834,0.0000063339357,0.15072529,0.0000694207,0.0003455333,0.010146814,0.0000146947195,0.0103874],"genre_scores_gemma":[0.97292227,0.0001435272,0.00004227077,0.026398335,0.00009802695,0.00005927175,0.00016007284,0.000020028228,0.00015619477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977739,0.00017873532,0.00078771816,0.00048242678,0.00007189277,0.000705369],"domain_scores_gemma":[0.99687195,0.00013632151,0.0002577089,0.00071335124,0.000097789656,0.0019229057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016198753,0.00022565492,0.0010800114,0.0039971485,0.00014904916,0.0001627268,0.00077676086,0.0001007448,0.0007585905],"category_scores_gemma":[0.002545346,0.00015609757,0.00047274795,0.0057669566,0.000120558725,0.00030990105,0.00004308478,0.00016814594,0.000018702065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062599875,0.000053002965,0.057452407,0.000019765801,0.01931524,0.000072361174,0.003970495,0.000025658695,8.387934e-7,0.91756415,0.0012327414,0.0002870854],"study_design_scores_gemma":[0.0015525499,0.00025643848,0.30562657,0.0000061708515,0.018378736,0.0000046668065,0.006323244,0.009110511,0.0000057964276,0.116023645,0.54062724,0.0020844128],"about_ca_topic_score_codex":0.99082834,"about_ca_topic_score_gemma":0.99796003,"teacher_disagreement_score":0.8015405,"about_ca_system_score_codex":0.00047893156,"about_ca_system_score_gemma":0.0018798566,"threshold_uncertainty_score":0.8306034},"labels":[],"label_agreement":null},{"id":"W3107758359","doi":"","title":"The Dismal State of the Nation’s Teen Summer Job Market, 2008-2012, and the Employment Outlook for the Summer of 2013","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonfarm payrolls; Recession; Population; Payroll; Demographic economics; Demography; Quarter (Canadian coin); Earnings; Geography; Economics; Sociology; Agriculture","score_opus":0.04882864513945128,"score_gpt":0.24476733512938606,"score_spread":0.19593868998993477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107758359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8128261,0.014162843,0.008521478,0.08067866,0.0024842846,0.0043210182,0.0018958334,0.000029197809,0.07508059],"genre_scores_gemma":[0.9619293,0.0012117848,0.00009758311,0.0005095552,0.00005897235,0.000104373656,0.0000040118434,0.00002098569,0.03606339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863607,0.00009584177,0.0007217941,0.00020860057,0.00010096224,0.00023671422],"domain_scores_gemma":[0.99766266,0.001005554,0.0005186672,0.0006186337,0.00014751451,0.000046971225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044088177,0.00014108322,0.00029447753,0.000029335924,0.00022200668,0.0000764447,0.0005179987,0.000045622073,0.00008832589],"category_scores_gemma":[0.00034972862,0.00005903539,0.00015919468,0.00014890911,0.00039319656,0.00012210263,0.00023419654,0.00011120698,0.0000056323997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047224094,0.00010244999,0.27779654,0.000032771994,0.00037697188,1.1900744e-7,0.0012118866,0.00020001596,0.0000018068812,0.6179661,0.09736707,0.0044719926],"study_design_scores_gemma":[0.0034296897,0.00008011393,0.26791036,0.000012355868,0.0000619932,0.0000010935257,0.00045987294,0.027498472,0.00002978921,0.26012042,0.4401037,0.00029215653],"about_ca_topic_score_codex":0.0035159527,"about_ca_topic_score_gemma":0.0035399846,"teacher_disagreement_score":0.35784572,"about_ca_system_score_codex":0.00004337669,"about_ca_system_score_gemma":0.000036951435,"threshold_uncertainty_score":0.5315092},"labels":[],"label_agreement":null},{"id":"W3108226037","doi":"10.1163/9789004365407_013","title":"Understanding Transitions between Work and Formal Qualifications","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Psychology; Sociology","score_opus":0.176053397935274,"score_gpt":0.2532095495825017,"score_spread":0.0771561516472277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108226037","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090157334,0.00024581415,0.14714338,0.0014235217,0.00017383415,0.00020321304,0.0018637751,0.000060658513,0.84798425],"genre_scores_gemma":[0.7201511,0.000333705,0.0009447884,0.000203496,0.00034412066,0.000010124746,0.0003741041,0.00006996339,0.27756858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985632,0.0000060229286,0.00070577534,0.00043496361,0.00003908809,0.0002510031],"domain_scores_gemma":[0.99907,0.000096106516,0.00031214737,0.00037242754,0.000033334356,0.000115978844],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006305435,0.00023449636,0.00047274373,0.00023685297,0.00024603494,0.000118451455,0.00014667185,0.00032329027,0.00293305],"category_scores_gemma":[0.000018009017,0.00026920007,0.00013469277,0.000060627306,0.00016091055,0.00018656431,0.000053025706,0.00022917545,0.0002513887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003645813,0.0000057397338,0.0014628973,0.000021289841,0.00009191282,6.479798e-7,0.00018532893,3.7035483e-7,3.3053734e-8,0.99740195,0.0007204835,0.00010567338],"study_design_scores_gemma":[0.00016467876,0.000025805726,0.0012093086,0.00003034716,0.000026634429,5.905145e-7,0.000033280838,0.00003148545,1.4310005e-7,0.8934406,0.10467532,0.000361818],"about_ca_topic_score_codex":0.000018843828,"about_ca_topic_score_gemma":0.000054879354,"teacher_disagreement_score":0.71924955,"about_ca_system_score_codex":0.00016828977,"about_ca_system_score_gemma":0.00001870663,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W3109063478","doi":"","title":"Human Capital Theory, Returns to Education and On-the-job Learning: Evidence from Canadian Data","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Human capital theory; Economics; Labour economics; Econometrics; Economic growth","score_opus":0.052717657532239615,"score_gpt":0.273076345110615,"score_spread":0.2203586875783754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109063478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447967,0.00037856193,0.0001623454,0.011318893,0.00016339248,0.00015341658,0.00021043519,0.000016928652,0.04279933],"genre_scores_gemma":[0.9922181,0.000058331047,0.00021612323,0.0034913225,0.000119878896,0.000004417166,0.00006297038,0.0000088199895,0.0038200319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999034,0.00004266999,0.00026166794,0.0004331437,0.000029578567,0.00019897267],"domain_scores_gemma":[0.9988325,0.0001440692,0.00008608609,0.00072306977,0.000025525742,0.00018869947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011469115,0.000104743376,0.00015162285,0.00010228942,0.0002047598,0.00018670422,0.00046319023,0.000056334437,0.0006552586],"category_scores_gemma":[0.0006880561,0.0000927987,0.000019924695,0.000115977076,0.000023250974,0.00020794533,0.00006804458,0.00016280994,0.00016754396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041927256,0.000021773694,0.032429192,0.0000013908755,0.0000095354835,6.4243886e-7,0.0006175581,0.0000045307333,0.000011398805,0.9623864,0.0025205861,0.0019927884],"study_design_scores_gemma":[0.00006366039,0.000085669766,0.39886433,0.000028225664,0.0000039884626,6.6409365e-7,0.00033463628,0.0004522572,0.0000047252825,0.58653474,0.013408931,0.0002181853],"about_ca_topic_score_codex":0.1312362,"about_ca_topic_score_gemma":0.104605265,"teacher_disagreement_score":0.37585166,"about_ca_system_score_codex":0.000095204676,"about_ca_system_score_gemma":0.000071095514,"threshold_uncertainty_score":0.9117333},"labels":[],"label_agreement":null},{"id":"W3112906797","doi":"10.47678/cjhe.vi0.188769","title":"Credit Transfer, Articulation &amp; The Future of Work: Towards a Federal Strategy","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Articulation (sociology); Incentive; Retraining; Work (physics); Government (linguistics); Robotics; Economics; Business; Political science; Computer science; Artificial intelligence; Law; Market economy; Engineering","score_opus":0.04091976391196514,"score_gpt":0.24723054999614663,"score_spread":0.2063107860841815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112906797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606033,0.006606889,0.0006829818,0.027935091,0.0019528131,0.000092040435,0.00006216918,0.0000025234567,0.0020622162],"genre_scores_gemma":[0.9972757,0.000040427916,0.00013471591,0.00096230756,0.0011025718,0.0000019766333,0.000013436954,0.0000096357735,0.0004592263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917495,0.000028865246,0.00051856955,0.00009524628,0.000040391005,0.00014198144],"domain_scores_gemma":[0.99924296,0.000014672195,0.00024217309,0.00011465764,0.00014031457,0.00024522148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030479152,0.000075868775,0.00018623502,0.00008803843,0.00007201627,0.00007957568,0.00016853512,0.00006430361,0.000733212],"category_scores_gemma":[0.00002874135,0.0000650947,0.000097226184,0.00028026674,0.000032938387,0.00016146417,0.0000027213982,0.00016285421,0.000011011247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014650267,0.00014912167,0.28286192,0.000120606346,0.00023615648,0.000007152718,0.007450615,0.0015805466,0.00009242181,0.6404827,0.044041786,0.022830449],"study_design_scores_gemma":[0.00028193,0.00008089306,0.59201676,0.000020197358,0.000015560105,0.0000043442856,0.00024907733,0.000048855607,0.0000106430125,0.03551037,0.37162513,0.0001362676],"about_ca_topic_score_codex":0.001956285,"about_ca_topic_score_gemma":0.002072777,"teacher_disagreement_score":0.60497236,"about_ca_system_score_codex":0.00010326444,"about_ca_system_score_gemma":0.0006735311,"threshold_uncertainty_score":0.8028157},"labels":[],"label_agreement":null},{"id":"W3121148754","doi":"10.24148/wp2017-20","title":"Measuring Heterogeneity in Job Finding Rates among the Non-Employed Using Labor Force Status Histories","year":2017,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Duration (music); Unemployment; Respondent; Work (physics); Construct (python library); Economics; Demographic economics; Unemployment rate; Econometrics; Measure (data warehouse); Term (time); Variation (astronomy); Statistics; Demography; Labour economics; Mathematics; Sociology; Computer science; Political science; Engineering","score_opus":0.07379739225860545,"score_gpt":0.27219111589888995,"score_spread":0.19839372364028451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121148754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252975,0.0024029706,0.00017972288,0.0003644754,0.0009812494,0.00032685933,0.00010076694,0.00004046582,0.0030737545],"genre_scores_gemma":[0.99824953,0.0002427826,0.0007516532,0.00008061729,0.00016279808,0.00003335352,0.00000936661,0.00007711908,0.0003927922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973096,0.000085523854,0.0010801172,0.0005876837,0.0001701576,0.000766892],"domain_scores_gemma":[0.99745595,0.00016760439,0.0010450024,0.0011178299,0.00010884167,0.00010479182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017465957,0.00035150396,0.0007977288,0.00016873752,0.0011698653,0.00073222927,0.00089469657,0.00018417054,0.000050002793],"category_scores_gemma":[0.00092769,0.00032677746,0.00019143432,0.00025633143,0.0004004981,0.0012767551,0.0004335777,0.00040898516,0.0000033927054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016103423,0.000030528117,0.9865907,0.000102604004,0.00007262201,0.000012682963,0.0012482108,0.00038492834,0.00061024964,0.01053488,0.000020481404,0.00023108697],"study_design_scores_gemma":[0.0006934281,0.00005281071,0.98220617,0.00025286598,0.000008182407,0.0000013909698,0.00020837628,0.0010657025,0.00082123204,0.012146698,0.002118104,0.00042501872],"about_ca_topic_score_codex":0.008850143,"about_ca_topic_score_gemma":0.032040894,"teacher_disagreement_score":0.02319075,"about_ca_system_score_codex":0.00029233468,"about_ca_system_score_gemma":0.0000694893,"threshold_uncertainty_score":0.9999184},"labels":[],"label_agreement":null},{"id":"W3121159890","doi":"","title":"Twenty Years of Rising Inequality in U.S. Lifetime Labour Income Values","year":2004,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inequality; Economics; Economic inequality; Demographic economics; Labour economics; Mathematics","score_opus":0.01458885697327822,"score_gpt":0.22352181853254852,"score_spread":0.2089329615592703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121159890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966304,0.00055340683,0.019322613,0.002069798,0.000103233884,0.000143864,0.00015615314,0.000042495576,0.011304428],"genre_scores_gemma":[0.98928934,0.00030081227,0.009660775,0.00007342746,0.000009955003,0.00000803334,0.000043542423,0.000020141304,0.0005939481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976726,0.00074789673,0.00082938233,0.00039860807,0.000094392264,0.00025711092],"domain_scores_gemma":[0.99771357,0.0004473528,0.00052807544,0.00090310705,0.0003208892,0.00008703591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008253443,0.00013369032,0.00037631684,0.00021815769,0.00007824039,0.000088352346,0.00050088565,0.00011228333,0.00010559483],"category_scores_gemma":[0.0017527712,0.00017182136,0.000111476016,0.00062020245,0.0001233397,0.0001965627,0.0002338386,0.00020694468,0.000040305582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007739774,0.00034587854,0.19312434,0.000050421826,0.000018176059,0.0000025984848,0.0029331795,0.000113509275,0.0001332239,0.799722,0.0000042830675,0.003544645],"study_design_scores_gemma":[0.0010696072,6.8438266e-7,0.6517178,0.00031780798,0.000003805946,0.0000013784046,0.000059851627,0.0014156848,0.0022717859,0.34147933,0.0013897974,0.0002725016],"about_ca_topic_score_codex":0.0074062245,"about_ca_topic_score_gemma":0.0013380289,"teacher_disagreement_score":0.45859343,"about_ca_system_score_codex":0.00015151077,"about_ca_system_score_gemma":0.00006433299,"threshold_uncertainty_score":0.99920356},"labels":[],"label_agreement":null},{"id":"W3121183293","doi":"","title":"Why Does Employment in All Major Sectors Move Together over the Business Cycle? ∗","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business cycle; Recession; Economics; Unemployment; Investment (military); Productivity; Matching (statistics); Consumption (sociology); Labour economics; Wage; Economic sector; Margin (machine learning); Positive correlation; Work (physics); Negative correlation; Macroeconomics; Economy","score_opus":0.024945752385436164,"score_gpt":0.2466191800399206,"score_spread":0.22167342765448442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121183293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547363,0.0012260616,0.0020291263,0.0091477595,0.0018058019,0.0008076082,0.0006489293,0.00007784616,0.029520595],"genre_scores_gemma":[0.9797369,0.00093161466,0.00049575407,0.015480497,0.00032838245,0.00010605551,0.000106952684,0.00007936657,0.0027344236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973014,0.00007499234,0.001117468,0.00091755,0.0000939047,0.0004946828],"domain_scores_gemma":[0.9980179,0.000105842475,0.00055333454,0.0011772836,0.0000653507,0.00008027347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014570856,0.00045104304,0.0007733228,0.0002643205,0.00005878327,0.00029850693,0.0007900545,0.00042993584,0.0025135153],"category_scores_gemma":[0.000105653206,0.000308997,0.00024109942,0.00031546372,0.000059073005,0.00012012184,0.00060541683,0.0006500723,0.000054246742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011193414,0.00088690926,0.3240596,0.00028625308,0.0005381433,0.00004442638,0.0015411277,0.005398969,0.0000075836933,0.6581008,0.006211903,0.0028123471],"study_design_scores_gemma":[0.00042530286,0.00001034414,0.41483012,0.00004552837,0.000011037683,5.4971804e-7,0.000025101384,0.0026541334,0.0000055133123,0.5378636,0.043575156,0.0005536158],"about_ca_topic_score_codex":0.02527218,"about_ca_topic_score_gemma":0.007046606,"teacher_disagreement_score":0.12023721,"about_ca_system_score_codex":0.0003468952,"about_ca_system_score_gemma":0.00004172939,"threshold_uncertainty_score":0.9999362},"labels":[],"label_agreement":null},{"id":"W3121203131","doi":"10.3386/w12077","title":"Post-Secondary Education and Increasing Wage Inequality","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage dispersion; Economics; Inequality; Wage; Quantile; Human capital; Labour economics; Quantile regression; Wage inequality; Distribution (mathematics); Demographic economics; Efficiency wage; Econometrics; Mathematics; Economic growth","score_opus":0.2155509188993333,"score_gpt":0.45223253095857585,"score_spread":0.23668161205924254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121203131","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22590084,0.0062428894,0.0000127749545,0.00062362984,0.0009079749,0.0004806989,0.00316799,0.000018727507,0.76264447],"genre_scores_gemma":[0.9854089,0.001922948,0.00043065436,0.00007439309,0.0010532198,0.00007744426,0.0026367279,0.00006718216,0.008328508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960263,0.00024247442,0.0019122089,0.00092768576,0.00042362572,0.00046771718],"domain_scores_gemma":[0.9953171,0.0010362617,0.0011367563,0.00052163674,0.0018396556,0.00014859499],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.019169103,0.00030462138,0.00093677914,0.0013837314,0.00019548694,0.00019274621,0.0004696993,0.00058276526,0.000672797],"category_scores_gemma":[0.0032098473,0.0003725241,0.0002077498,0.00024055158,0.00029933883,0.00035503026,0.00031214594,0.0009789626,0.00011276301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005464616,0.00025378185,0.030948116,0.00051900087,0.0001348308,0.0000017415323,0.00005458059,0.000013648774,0.000022959559,0.9541197,0.008900279,0.0049767527],"study_design_scores_gemma":[0.0003635206,0.000065731096,0.07680632,0.00009167807,0.000007657975,0.000021134374,0.000038876347,0.00025839283,0.000011635631,0.8722954,0.049636684,0.00040297364],"about_ca_topic_score_codex":0.05516645,"about_ca_topic_score_gemma":0.0010765804,"teacher_disagreement_score":0.7595081,"about_ca_system_score_codex":0.0021957336,"about_ca_system_score_gemma":0.005027288,"threshold_uncertainty_score":0.9998727},"labels":[],"label_agreement":null},{"id":"W3121209621","doi":"10.2139/ssrn.1752129","title":"Applications and Interviews - A Structural Analysis of Two-Sided Simultaneous Search","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.026935280850074576,"score_gpt":0.2644451784209346,"score_spread":0.23750989757086005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121209621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417242,0.004154275,0.052338686,0.000060802817,0.000038719594,0.00011807481,0.00007387962,0.000008237074,0.0014831594],"genre_scores_gemma":[0.99637735,0.0029534039,0.00040486254,0.000031908294,0.000034506833,0.000005368513,0.00000933953,0.000011046986,0.00017219974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838454,0.000039910992,0.00059836276,0.00021588797,0.00004102159,0.0007202825],"domain_scores_gemma":[0.99922085,0.0000766108,0.00033864286,0.00022499872,0.00007110498,0.00006779684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017773745,0.00010555894,0.00039112137,0.00036303405,0.00009171663,0.000030193301,0.0002346151,0.00004613253,0.00015278683],"category_scores_gemma":[0.000063180036,0.00010221376,0.00016329678,0.00056113163,0.000058737885,0.000101057725,0.00005315328,0.00054042926,0.000006687202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022077149,0.000030810163,0.05882408,0.000006569421,0.00087290304,0.0000010770864,0.0005248446,0.00009308873,0.000013010886,0.92505866,3.2323146e-7,0.014552539],"study_design_scores_gemma":[0.00041196682,0.00010960116,0.010401119,0.000005651465,0.00013872443,0.000030335967,0.00034379045,0.022592956,0.000011149787,0.9656359,0.00015355193,0.00016524756],"about_ca_topic_score_codex":0.0010412442,"about_ca_topic_score_gemma":0.0021823097,"teacher_disagreement_score":0.054653198,"about_ca_system_score_codex":0.00020918869,"about_ca_system_score_gemma":0.000112339505,"threshold_uncertainty_score":0.4168156},"labels":[],"label_agreement":null},{"id":"W3121210532","doi":"10.1162/rest_a_00674","title":"The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data","year":2017,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Index (typography); Search theory; Economics; Search engine; Computer science; Information retrieval; World Wide Web; Microeconomics","score_opus":0.2108298798935197,"score_gpt":0.3732511557828754,"score_spread":0.16242127588935568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121210532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8922341,0.07758718,0.0009981924,0.0022099821,0.00021696497,0.0005218835,0.02472355,0.0000034313684,0.0015047019],"genre_scores_gemma":[0.562253,0.4370193,0.00053459516,0.000047960722,0.00003336039,0.000003771893,0.000038434642,0.000010834175,0.000058759135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99842966,0.00008436006,0.0008883111,0.00033485398,0.000043435826,0.00021937277],"domain_scores_gemma":[0.9954062,0.0011968978,0.00086877396,0.0023769797,0.000082286446,0.0000688509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037560924,0.00015283028,0.00059678516,0.000024567455,0.00033685737,0.0001503509,0.0015062994,0.0000374944,0.000043401054],"category_scores_gemma":[0.0010375866,0.0000982294,0.00009013004,0.00003969791,0.0003569614,0.00016567897,0.00054293836,0.0001659781,0.000014813602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008685908,0.00007106035,0.112481184,0.000881589,0.00030304797,0.0000012098556,0.00015034726,0.0003310205,0.0000021395526,0.83212954,0.00094642956,0.052615594],"study_design_scores_gemma":[0.00051386224,0.0003185938,0.7458076,0.002414659,0.000040735766,0.0000016521303,0.000024963056,0.064832486,0.000014085758,0.1800944,0.0055729332,0.00036403106],"about_ca_topic_score_codex":0.0043451437,"about_ca_topic_score_gemma":0.0002583242,"teacher_disagreement_score":0.6520351,"about_ca_system_score_codex":0.000060326627,"about_ca_system_score_gemma":0.00008774664,"threshold_uncertainty_score":0.6568586},"labels":[],"label_agreement":null},{"id":"W3121233511","doi":"10.17016/feds.2018.015","title":"Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers","year":2018,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Business cycle; Identification (biology); Quarter (Canadian coin); Computer science; Business; Econometrics; Industrial organization; Economics; Macroeconomics; History","score_opus":0.025665370918352682,"score_gpt":0.2557118063999717,"score_spread":0.23004643548161902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121233511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437951,0.000058733527,0.0527882,0.0005212216,0.0001483269,0.00031727878,0.0016919533,0.000019178697,0.00065999205],"genre_scores_gemma":[0.9960602,0.0005322714,0.0013680354,0.000057210145,0.00008258625,0.0001620741,0.00033956117,0.000016277501,0.0013817775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986788,0.000009370346,0.0007494009,0.00037581098,0.000017406373,0.00016921885],"domain_scores_gemma":[0.9987428,0.000020671761,0.0006108707,0.00044211882,0.00013834499,0.000045145975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004564314,0.0001280003,0.00040057275,0.00023076827,0.00022854155,0.000113031274,0.00017015779,0.00008707271,0.00006427535],"category_scores_gemma":[0.000025079631,0.00011335922,0.000097675875,0.00044218596,0.00014648485,0.001195503,0.00004686723,0.00003549446,0.000015057165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009402952,0.00008649702,0.079283774,0.0000764313,0.00012817037,6.363773e-8,0.001214919,0.0003398688,0.00003246717,0.91583043,0.000035364337,0.0028780056],"study_design_scores_gemma":[0.00047849343,0.00011014862,0.76209724,0.000011654156,0.00009728713,7.310721e-7,0.0005432128,0.020161476,0.00027447188,0.120557986,0.09523804,0.00042927553],"about_ca_topic_score_codex":0.00013982783,"about_ca_topic_score_gemma":0.0005343092,"teacher_disagreement_score":0.7952724,"about_ca_system_score_codex":0.000040216622,"about_ca_system_score_gemma":0.000015874064,"threshold_uncertainty_score":0.4622655},"labels":[],"label_agreement":null},{"id":"W3121254723","doi":"","title":"Asset Accumulation and Short Term Employment","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Danmarks Grundforskningsfond; National Research Foundation; Leverhulme Trust","keywords":"Consumption (sociology); Earnings; Wage; Economics; Labour economics; Asset (computer security); Turnover; Term (time); Short run; Monetary economics; Finance","score_opus":0.09057569787552187,"score_gpt":0.3467122096363163,"score_spread":0.25613651176079444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121254723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8987079,0.00048479796,0.000031728094,0.0003119239,0.0006186671,0.0007570424,0.0005285657,0.000030621624,0.09852875],"genre_scores_gemma":[0.9852799,0.01222661,0.0004980926,0.000116159674,0.00013837224,0.00019213876,0.00021035722,0.000080960315,0.0012573836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962121,0.00016871527,0.0013370387,0.0013978123,0.00009646572,0.00078782166],"domain_scores_gemma":[0.9979206,0.00028531987,0.00032302574,0.0011702848,0.00007514611,0.00022563411],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045197406,0.0003854225,0.0008729557,0.0006575235,0.00015743103,0.0003796841,0.0005092729,0.000604679,0.00016710958],"category_scores_gemma":[0.00043304128,0.00048738247,0.00017089819,0.00015189458,0.00019081986,0.00017518851,0.00093014847,0.0013668524,0.00001889614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066842316,0.00031004523,0.8300902,0.00027643255,0.00020311432,0.000031115243,0.0003204523,0.0028587729,0.000014453655,0.10870848,0.000044200213,0.05707587],"study_design_scores_gemma":[0.0010696837,0.00013214575,0.6215052,0.00018535349,0.000012009561,0.000010534555,0.00012637864,0.026952263,0.000019091476,0.30983403,0.038671535,0.00148174],"about_ca_topic_score_codex":0.000224804,"about_ca_topic_score_gemma":0.00031233305,"teacher_disagreement_score":0.208585,"about_ca_system_score_codex":0.0010954771,"about_ca_system_score_gemma":0.00015658497,"threshold_uncertainty_score":0.99975777},"labels":[],"label_agreement":null},{"id":"W3121273495","doi":"10.1016/j.labeco.2009.09.011","title":"Social networks and labor market transitions","year":2009,"lang":"en","type":"preprint","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Duration (music); Unemployment; Interpersonal ties; Labour economics; Economics; Demographic economics; Key (lock); Social network (sociolinguistics); Econometrics; Computer science; Psychology; Social psychology; Economic growth; Physics; Computer security","score_opus":0.019347197482999477,"score_gpt":0.22463812527522345,"score_spread":0.20529092779222397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121273495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529639,0.0025009876,0.0035139974,0.0076441756,0.0011222911,0.00045758684,0.006034968,0.00012212049,0.025640003],"genre_scores_gemma":[0.98889524,0.0050867354,0.0010961549,0.0020932192,0.0009209012,0.000047314887,0.00028366828,0.00007900184,0.0014977438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971924,0.000058765072,0.0011644705,0.0010088255,0.000023752527,0.0005517927],"domain_scores_gemma":[0.9983568,0.00006379042,0.0007566929,0.00058598904,0.000059880735,0.00017681214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011327503,0.00047823729,0.0010889077,0.0002168105,0.0002604127,0.00045734624,0.0004381947,0.00078997074,0.0005837926],"category_scores_gemma":[0.000041180283,0.000652322,0.00028157307,0.00013291855,0.00011791357,0.00018123908,0.00031332194,0.00086363964,0.00003410802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033807395,0.00007857711,0.007787623,0.00009054171,0.0001379367,0.0000050805097,0.00021228551,0.002026024,1.13271014e-7,0.9880973,0.0002900428,0.0012406675],"study_design_scores_gemma":[0.000500305,0.000023394914,0.08453663,0.000021527525,0.000023687278,0.0000035549263,0.000024879155,0.015373704,3.6152784e-7,0.87560534,0.023184214,0.0007024193],"about_ca_topic_score_codex":0.0002375726,"about_ca_topic_score_gemma":0.00023479678,"teacher_disagreement_score":0.11249197,"about_ca_system_score_codex":0.00023572582,"about_ca_system_score_gemma":0.000070445254,"threshold_uncertainty_score":0.9995928},"labels":[],"label_agreement":null},{"id":"W3121273612","doi":"","title":"Participation in Adult Schooling and Its Earnings Impact in Canada","year":2006,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Certificate; Wage; Human capital; Demographic economics; Labour economics; Investment (military); Rate of return; Economics; Business; Political science; Finance; Economic growth","score_opus":0.06228917519211466,"score_gpt":0.34843880872035693,"score_spread":0.2861496335282423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121273612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996985,0.0046601063,0.000003989673,0.0024224913,0.000040999214,0.00015476652,0.000038313712,0.0000064345227,0.0027030776],"genre_scores_gemma":[0.996945,0.002598028,0.000013749474,0.00008975886,0.00005211214,0.00004215858,0.000006111196,0.000011514521,0.00024152723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981447,0.000097682845,0.00061111874,0.00037832107,0.00013789212,0.00063031714],"domain_scores_gemma":[0.99914825,0.0003691898,0.000068819514,0.00014667248,0.00017783754,0.00008924882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015292885,0.00013253307,0.00043973906,0.00021081585,0.00013530595,0.00007128367,0.0001106351,0.00005204025,0.0000742863],"category_scores_gemma":[0.0021109371,0.00012536248,0.000036510166,0.00077224505,0.00010204356,0.00039098223,0.00013350476,0.00037548735,0.000012828946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052032025,0.000036331396,0.86063796,0.00005209999,0.000034233617,0.000022007282,0.00016317981,0.0002806487,0.000009997959,0.13827889,0.00014551372,0.00028713403],"study_design_scores_gemma":[0.00037807188,0.000044907818,0.9499995,0.000036466376,0.0000016179625,5.170861e-7,0.0002931095,0.004525689,0.0000076238257,0.04360208,0.0009590752,0.00015132947],"about_ca_topic_score_codex":0.7953116,"about_ca_topic_score_gemma":0.9492318,"teacher_disagreement_score":0.15392014,"about_ca_system_score_codex":0.00071738265,"about_ca_system_score_gemma":0.0001404192,"threshold_uncertainty_score":0.51121336},"labels":[],"label_agreement":null},{"id":"W3121308254","doi":"","title":"Choice of Fields of Study of Canadian University Graduates: The Role of Gender and their Parents’ Education","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada","keywords":"Earnings; Graduation (instrument); Bachelor; Multinomial logistic regression; Marital status; Demographic economics; Incentive; Psychology; Educational attainment; Sample (material); Logit; Demography; Economics; Econometrics; Political science; Sociology; Accounting; Statistics; Mathematics","score_opus":0.0582413478471805,"score_gpt":0.2863181150187426,"score_spread":0.2280767671715621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121308254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586804,0.00048565576,0.0000029050289,0.000048572027,0.00012790562,0.0005124515,0.000497001,0.0000016804604,0.039643455],"genre_scores_gemma":[0.99478924,0.0050025396,0.00004443293,0.00000851176,0.00002215244,0.000006253767,0.000021661182,0.000014130121,0.000091087684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998318,0.0001249438,0.00085357664,0.0003886195,0.00005286165,0.00026197912],"domain_scores_gemma":[0.997819,0.00043990806,0.0007013111,0.0007594945,0.00018655989,0.00009369613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023766404,0.00014622074,0.0005962174,0.0011185058,0.00005135976,0.000012052184,0.0005663439,0.00022573363,0.000022901999],"category_scores_gemma":[0.00027582352,0.0001466458,0.00010088767,0.00031507315,0.00022308168,0.00005144296,0.00038177677,0.000484964,1.9099575e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006092045,0.00059061206,0.93537056,0.00029537693,0.00023105892,5.837573e-7,0.004957407,0.0009933071,0.0000102076065,0.0354379,0.0000032474093,0.022048824],"study_design_scores_gemma":[0.0008255236,0.00024951162,0.87880504,0.00012939931,0.000017764773,6.436702e-7,0.038348313,0.0039512045,0.00015821846,0.072793856,0.0043717492,0.000348795],"about_ca_topic_score_codex":0.21214215,"about_ca_topic_score_gemma":0.12747814,"teacher_disagreement_score":0.08466402,"about_ca_system_score_codex":0.00025631633,"about_ca_system_score_gemma":0.00053280615,"threshold_uncertainty_score":0.8884431},"labels":[],"label_agreement":null},{"id":"W3121353537","doi":"10.1016/j.jdeveco.2005.06.006","title":"Learning the master&apos;s trade: Apprenticeship and human capital in Ghana","year":2006,"lang":"en","type":"article","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Apprenticeship; Remuneration; Productivity; Human capital; Labour economics; Business; Institution; Economics; Finance; Economic growth; Political science","score_opus":0.04031125257811813,"score_gpt":0.2732889920855455,"score_spread":0.2329777395074274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121353537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688935,0.0006203319,0.00011256504,0.0016235166,0.0000788391,0.000103452694,0.0000085603315,0.00001993243,0.028539253],"genre_scores_gemma":[0.99597424,0.000015783951,0.00007846318,0.00006158864,0.00007402531,0.000007909528,0.000011019373,0.000014705034,0.0037622822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991771,0.00003603274,0.0002888737,0.00024715872,0.000028873848,0.00022195154],"domain_scores_gemma":[0.9995814,0.000057387926,0.00014981444,0.00017755051,0.0000049324326,0.000028898454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555751,0.00010450482,0.00018827856,0.00007642826,0.00011228885,0.00011408232,0.00013234022,0.00005948454,0.000082549755],"category_scores_gemma":[0.000027700888,0.000096351185,0.000038937927,0.00014985642,0.00004679652,0.00008824682,0.00005255846,0.00021127595,0.000019366878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005105337,0.00004122358,0.38559386,0.000021354685,0.000007784867,0.0000045906595,0.0024750757,0.00006182278,0.000024953502,0.61150926,0.000032856402,0.00022211227],"study_design_scores_gemma":[0.0009736283,0.000088386274,0.84063244,0.00002167297,0.000007899904,0.0000049357363,0.0037531394,0.0034003726,0.000019679383,0.14309296,0.0075671254,0.00043774827],"about_ca_topic_score_codex":0.004618459,"about_ca_topic_score_gemma":0.0016977339,"teacher_disagreement_score":0.4684163,"about_ca_system_score_codex":0.00004704806,"about_ca_system_score_gemma":0.0000044368317,"threshold_uncertainty_score":0.69817597},"labels":[],"label_agreement":null},{"id":"W3121369305","doi":"","title":"Youth Employment and Joblessness in Advanced Countries","year":2000,"lang":"en","type":"article","venue":"NBER Books","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Youth unemployment; Variety (cybernetics); Job market; Political science; Demographic economics; Labour economics; Economics; Economic growth","score_opus":0.018666803223112163,"score_gpt":0.21453666956009643,"score_spread":0.19586986633698428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121369305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93637806,0.0008680646,0.00005006453,0.00017900144,0.000094962284,0.00012167104,0.00017561605,0.00002068841,0.06211184],"genre_scores_gemma":[0.9948159,0.00045481377,0.00011692464,0.0003633245,0.000025151507,0.000015216333,0.000009908588,0.000015046809,0.004183729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999095,0.0000115724,0.00036958326,0.00028245375,0.00002825184,0.00021311548],"domain_scores_gemma":[0.9996346,0.000024649264,0.000073455,0.00020555813,0.000011665926,0.000050052222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035811609,0.000110146386,0.0002584255,0.0000693721,0.000048060803,0.000059773854,0.00008982464,0.00006047586,0.00048090483],"category_scores_gemma":[0.000012030675,0.00012179851,0.000028882174,0.00006524699,0.000046720466,0.00012759487,0.000025867253,0.00008772201,0.000072731214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010271654,0.00007972592,0.4480125,0.000038531223,0.000024243369,0.000012502741,0.0030317695,0.00009330143,0.000003047219,0.5327358,0.000024117207,0.015841715],"study_design_scores_gemma":[0.0036966898,0.00011027817,0.500384,0.00008917048,0.0000107122605,0.0000037881437,0.00042485513,0.0012345264,0.000049808128,0.35383505,0.13921042,0.00095072313],"about_ca_topic_score_codex":0.0005864775,"about_ca_topic_score_gemma":0.00033068933,"teacher_disagreement_score":0.17890081,"about_ca_system_score_codex":0.00005633408,"about_ca_system_score_gemma":0.000010116742,"threshold_uncertainty_score":0.5265571},"labels":[],"label_agreement":null},{"id":"W3121407185","doi":"","title":"Performance Pay and the White-Black Wage Gap","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Wage; Earnings; Differential (mechanical device); Performance-related pay; Economics; Distribution (mathematics); White (mutation); Labour economics; Wage inequality; Inequality; Demographic economics; Microeconomics; Incentive; Engineering","score_opus":0.039098391428727355,"score_gpt":0.2787944654765861,"score_spread":0.23969607404785875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121407185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70494765,0.00056614267,0.000011944963,0.0035874809,0.0004441526,0.00092001515,0.00024749275,0.000033099797,0.28924203],"genre_scores_gemma":[0.94603896,0.048372213,0.00029276207,0.00035099126,0.0002795574,0.00014045421,0.0000595279,0.000066210436,0.0043993425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995844,0.00028179656,0.0014516723,0.0013276767,0.00011102454,0.0009838288],"domain_scores_gemma":[0.99701774,0.0004775172,0.000571823,0.0016489498,0.000088629975,0.0001953417],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009291481,0.00044915365,0.0011477575,0.0005075937,0.00026828065,0.00045595397,0.0011071101,0.0005548681,0.00016011286],"category_scores_gemma":[0.0006153849,0.00036616376,0.00025425124,0.00022098879,0.0009295983,0.00018307014,0.0013310428,0.002510943,0.000053146974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088016834,0.00036527548,0.29123148,0.0006935874,0.00032577672,0.000040270836,0.0026132483,0.0101688085,0.0000023917987,0.46583036,0.00017663254,0.22767198],"study_design_scores_gemma":[0.004704986,0.00016956821,0.24459134,0.00030259058,0.000016561045,0.000012188987,0.00041437137,0.21563454,0.000005294787,0.48958704,0.0430229,0.0015386007],"about_ca_topic_score_codex":0.00017528377,"about_ca_topic_score_gemma":0.0002107636,"teacher_disagreement_score":0.2848427,"about_ca_system_score_codex":0.0006289154,"about_ca_system_score_gemma":0.00017935211,"threshold_uncertainty_score":0.999879},"labels":[],"label_agreement":null},{"id":"W3121437958","doi":"10.1177/0019793917729350","title":"Social Ties and the Job Search of Recent Immigrants","year":2017,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Social network (sociolinguistics); Wage; Interpersonal ties; Network structure; Distribution (mathematics); Labour economics; Demographic economics; Computer science; Econometrics; Economics; Psychology; Social psychology; Political science; Mathematics; Machine learning; World Wide Web; Law","score_opus":0.13261547625898598,"score_gpt":0.3146757901117566,"score_spread":0.18206031385277063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121437958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7317162,0.14901718,0.00002591599,0.080987036,0.00041434282,0.0010527989,0.0007031823,0.000014096469,0.036069196],"genre_scores_gemma":[0.87018657,0.1281847,0.000021953101,0.0002009308,0.00013253509,0.000016474836,0.00000736934,0.000006801232,0.0012426613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991402,0.00007520072,0.00048538213,0.00015405244,0.000039006067,0.000106172956],"domain_scores_gemma":[0.9991717,0.00010870976,0.00037060797,0.00025031882,0.00006526588,0.000033444227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018539227,0.0000791124,0.0004003291,0.000032571555,0.00048007746,0.00008445637,0.00015477811,0.00009372919,0.00029934393],"category_scores_gemma":[0.00079674,0.000057503174,0.00005626301,0.000105950065,0.0002979917,0.00012501204,0.00009112406,0.00020214569,0.000013757872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029068193,0.000013490032,0.075619616,0.000110090165,0.0000476116,3.8168622e-7,0.00016938822,2.853016e-7,2.3780774e-7,0.8962984,0.0007534902,0.026957924],"study_design_scores_gemma":[0.00416052,0.000043282744,0.3388311,0.0005954537,0.0001013863,0.0000034911006,0.00006648547,0.00023438389,0.0000022073957,0.13922457,0.51642656,0.000310549],"about_ca_topic_score_codex":0.0008439431,"about_ca_topic_score_gemma":0.000054524888,"teacher_disagreement_score":0.7570738,"about_ca_system_score_codex":0.0000130809785,"about_ca_system_score_gemma":0.000025939176,"threshold_uncertainty_score":0.36924163},"labels":[],"label_agreement":null},{"id":"W3121486610","doi":"10.2139/ssrn.2655047","title":"Quality of Higher Education and the Labor Market in Developing Countries: Evidence from an Education Reform in Senegal","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","funders":"","keywords":"Quality (philosophy); Developing country; Labour economics; Business; Economics; Demographic economics; Economic growth","score_opus":0.031099903662910273,"score_gpt":0.3001837475636676,"score_spread":0.26908384390075735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121486610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758835,0.01476518,0.00025084763,0.006815139,0.00039875868,0.00013038283,0.000018741126,0.000003574406,0.0017338982],"genre_scores_gemma":[0.9881495,0.0104415575,0.00022913204,0.0004812477,0.0001342112,0.000012879244,0.0000070136066,0.000009618613,0.0005347924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825007,0.0001997079,0.0007835021,0.00020853784,0.00007231838,0.00048589427],"domain_scores_gemma":[0.9989637,0.0001376372,0.00051265385,0.00020659012,0.0001281467,0.00005125811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00929556,0.00010179967,0.00030112514,0.00015409269,0.000043609518,0.000066806264,0.0002167459,0.00007579169,0.000024221838],"category_scores_gemma":[0.000313058,0.000085541826,0.000029702647,0.00028083764,0.000059816648,0.00055581285,0.000033391127,0.0004933876,0.0000022062306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017914106,0.00005639106,0.3000196,0.000009128376,0.000011029903,6.6896746e-8,0.00058982,0.0000032901098,8.4524504e-7,0.69782007,0.00000909893,0.0013015205],"study_design_scores_gemma":[0.0006048796,0.000023198843,0.38666058,0.000048231323,0.0000018730594,0.0000027608367,0.0011113461,0.00013407499,0.0000012013816,0.610082,0.0012410217,0.00008888941],"about_ca_topic_score_codex":0.020375697,"about_ca_topic_score_gemma":0.017556362,"teacher_disagreement_score":0.087738134,"about_ca_system_score_codex":0.0024254625,"about_ca_system_score_gemma":0.0034012422,"threshold_uncertainty_score":0.9861477},"labels":[],"label_agreement":null},{"id":"W3121487859","doi":"","title":"The performance pay premium: how big is it and does it affect wage dispersion?","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Percentile; Wage; Distribution (mathematics); Quarter (Canadian coin); Dispersion (optics); Labour economics; Economics; Affect (linguistics); Wage dispersion; Demographic economics; Econometrics; Efficiency wage; Statistics; Mathematics","score_opus":0.03209652028515056,"score_gpt":0.2807210303924175,"score_spread":0.24862451010726697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121487859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94346976,0.00057834596,0.000013534433,0.015491478,0.0015156495,0.0009857352,0.00057008903,0.00003143753,0.037343983],"genre_scores_gemma":[0.89812106,0.08881173,0.00010088737,0.0004270612,0.0004191514,0.00022144028,0.000050278886,0.00008733047,0.011761071],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99559337,0.0002784192,0.0011235129,0.0016487696,0.00015798966,0.001197936],"domain_scores_gemma":[0.9955995,0.0013516801,0.0006460966,0.0020143948,0.00010964228,0.0002786761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008369755,0.0005412643,0.0010238634,0.00043931202,0.0006291201,0.0009825792,0.0013224756,0.0006541135,0.000107406995],"category_scores_gemma":[0.00086712954,0.0003870565,0.00029292272,0.00018783635,0.00061148155,0.0002131204,0.0020145194,0.0022541538,0.00003918784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043259797,0.0003942269,0.5421866,0.0019109977,0.0007699928,0.0000323588,0.003442963,0.0012007098,0.000034502926,0.041847296,0.002124538,0.40562323],"study_design_scores_gemma":[0.002177872,0.0003615837,0.090024516,0.00069967884,0.000028991288,0.000012885111,0.0015770212,0.15109864,0.00014121147,0.062734105,0.6885799,0.0025635783],"about_ca_topic_score_codex":0.00024798815,"about_ca_topic_score_gemma":0.0009656417,"teacher_disagreement_score":0.68645537,"about_ca_system_score_codex":0.0007604233,"about_ca_system_score_gemma":0.00018778016,"threshold_uncertainty_score":0.99985814},"labels":[],"label_agreement":null},{"id":"W3121501246","doi":"","title":"An Equilibrium Theory of Learning, Search and Wages","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unemployment; Economics; Wage; Duration (music); Set (abstract data type); Labour economics; Process (computing); Complete information; Search theory; Microeconomics; General equilibrium theory; Affect (linguistics); Psychology; Computer science; Macroeconomics","score_opus":0.0415183102036781,"score_gpt":0.3062841467323177,"score_spread":0.2647658365286396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121501246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92518604,0.0010988362,0.000044025684,0.00020410703,0.00019915748,0.000488621,0.0002925076,0.000036091376,0.072450645],"genre_scores_gemma":[0.98323053,0.014417523,0.0005954761,0.000043152613,0.00015079865,0.0000409962,0.00010218413,0.000074700256,0.0013446421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99571997,0.0006025779,0.0013548371,0.0013404224,0.00011607154,0.0008661335],"domain_scores_gemma":[0.9973463,0.0005481917,0.00041339177,0.001298313,0.00012804127,0.00026578814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011182482,0.00036783895,0.0011111035,0.0009209661,0.00011138241,0.00023513175,0.00092636514,0.0006228541,0.00017853621],"category_scores_gemma":[0.000709041,0.0004480585,0.00018880097,0.0001935658,0.0005034939,0.0002140085,0.0010334805,0.0022179561,0.000009223902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003551873,0.0006388818,0.19386014,0.00074610097,0.0002198054,0.000038160266,0.0016824247,0.020107666,0.00017139857,0.567719,0.000006486854,0.21445478],"study_design_scores_gemma":[0.0011768718,0.00066328637,0.13644569,0.00024439485,0.000010293701,0.00000764818,0.0009968196,0.059661243,0.00014216451,0.79509217,0.0044014635,0.0011579689],"about_ca_topic_score_codex":0.00029508615,"about_ca_topic_score_gemma":0.00009956651,"teacher_disagreement_score":0.2273732,"about_ca_system_score_codex":0.00039713236,"about_ca_system_score_gemma":0.00021556273,"threshold_uncertainty_score":0.9997971},"labels":[],"label_agreement":null},{"id":"W3121522822","doi":"","title":"Changes in Wage Distributions of Wage Earners in Canada: 2000-2005","year":2013,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"McMaster University","keywords":"Wage; Economics; Population; Labour economics; Distribution (mathematics); Census; Inequality; Demographic economics; Efficiency wage; Wage share; Sociology; Demography; Mathematics","score_opus":0.01365770633330861,"score_gpt":0.19721819647451128,"score_spread":0.18356049014120265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121522822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792964,0.0009069291,0.00004636517,0.0012553958,0.0007943367,0.0004166378,0.0018110125,0.000019546382,0.015453403],"genre_scores_gemma":[0.9984549,0.00022555704,0.0001611726,0.00019146316,0.000062777435,0.00009667336,0.00007245637,0.000027790049,0.00070715556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741435,0.00006303647,0.0011906589,0.0005526369,0.0000688933,0.00071043917],"domain_scores_gemma":[0.998532,0.00019791268,0.000517533,0.0005108398,0.000050445396,0.00019128206],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008736832,0.0002786907,0.0007973078,0.00043327778,0.000064344735,0.000042166615,0.00038107674,0.00016588495,0.0034800104],"category_scores_gemma":[0.00023887344,0.0003356571,0.00010708826,0.00045712024,0.00016140794,0.00029164384,0.0001002275,0.00035596627,0.00017867984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006617148,0.00009330798,0.9522079,0.000025309915,0.000027180258,0.000016538677,0.00012748329,0.000040358835,0.000022117345,0.046065588,0.0009767236,0.0003908614],"study_design_scores_gemma":[0.0008031757,0.0000260572,0.9854144,0.00004410094,0.0000040845553,0.0000054426846,0.00021563034,0.0013191415,0.00006842704,0.0046868054,0.0069630174,0.000449706],"about_ca_topic_score_codex":0.7577833,"about_ca_topic_score_gemma":0.95015806,"teacher_disagreement_score":0.19237472,"about_ca_system_score_codex":0.0021498818,"about_ca_system_score_gemma":0.00082406413,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W3121536883","doi":"10.1111/j.1365-2966.2007.00415.x","title":"Which workers gain upon adopting a computer?","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Computer users; Cognition; Labour economics; Business; Computer science; Psychology; Economics; Multimedia","score_opus":0.10032380821271619,"score_gpt":0.1903633859500643,"score_spread":0.09003957773734811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121536883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813292,0.00043841221,0.006668268,0.0014580705,0.0032430154,0.00021499247,0.0003097381,0.000012393819,0.0063259224],"genre_scores_gemma":[0.9929753,0.00008089893,0.00463789,0.00066989736,0.0012826488,0.000004028421,0.0000220553,0.000080460086,0.0002468209],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99589866,0.000041143343,0.0022233396,0.0005483557,0.0000025427773,0.0012859373],"domain_scores_gemma":[0.995056,0.0002581972,0.0017030765,0.0005535974,0.00025873721,0.0021704093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048980853,0.00037274568,0.001001129,0.0012494018,0.00024056018,0.00026176084,0.00079771824,0.00031597717,0.00032082372],"category_scores_gemma":[0.00041452018,0.00050630746,0.0003364869,0.0003973251,0.00009618514,0.0005442049,0.00004045698,0.0006011174,0.000067546054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006698014,0.00001861641,0.10467795,0.000036522735,0.00017642368,0.00015318424,0.00079002575,0.007095455,0.00000162817,0.8826057,0.00024005903,0.004137496],"study_design_scores_gemma":[0.0025079984,0.00072692946,0.04155637,0.000281945,0.000049272654,0.00079139153,0.0010108958,0.023316825,0.000036552585,0.836838,0.09091813,0.0019656988],"about_ca_topic_score_codex":0.14587621,"about_ca_topic_score_gemma":0.97357595,"teacher_disagreement_score":0.8276998,"about_ca_system_score_codex":0.0027979875,"about_ca_system_score_gemma":0.0010248234,"threshold_uncertainty_score":0.9997389},"labels":[],"label_agreement":null},{"id":"W3121537038","doi":"10.32920/ryerson.14638566.v1","title":"Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?","year":2021,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Earnings; Demographic economics; Psychology; Economics; Political science; Business; Labour economics; Accounting","score_opus":0.026510272728987712,"score_gpt":0.2024511934403735,"score_spread":0.17594092071138578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121537038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798614,0.0002486218,0.000030419613,0.008610113,0.00014985733,0.00013318364,0.001504034,0.0000075271805,0.009454892],"genre_scores_gemma":[0.9969028,0.00009950033,0.00009844429,0.0005780961,0.000023910921,0.0000018130802,0.00008333452,0.0000073241777,0.0022047474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990193,0.0000966186,0.00032450544,0.00033299223,0.000034538887,0.00019202466],"domain_scores_gemma":[0.9991967,0.00022448611,0.00014804488,0.00027067907,0.00007741903,0.0000826551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077907025,0.000101733895,0.00024785215,0.000067302164,0.0001280549,0.000031707114,0.00013908047,0.000048640155,0.0002510181],"category_scores_gemma":[0.00025852566,0.00010179747,0.00003490326,0.00031093744,0.000043737382,0.0001102435,0.00009893535,0.00020090264,0.0000033997567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053844014,0.000024779842,0.8775595,0.000021089214,0.000014101301,0.0000073211872,0.00020354545,0.0000023949185,0.00000339692,0.120278925,0.00019638457,0.0016831706],"study_design_scores_gemma":[0.00024259652,0.000009173452,0.9649421,0.000005339945,0.0000034155876,0.0000019193892,0.002621686,0.00016244974,0.000012981746,0.019054184,0.012797552,0.00014663071],"about_ca_topic_score_codex":0.9003952,"about_ca_topic_score_gemma":0.9594425,"teacher_disagreement_score":0.10122474,"about_ca_system_score_codex":0.0006102932,"about_ca_system_score_gemma":0.0023040404,"threshold_uncertainty_score":0.41511804},"labels":[],"label_agreement":null},{"id":"W3121553083","doi":"10.1198/jbes.2009.08124","title":"Glass Ceilings or Glass Doors? Wage Disparity Within and Between Firms","year":2009,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"HEC Montréal","keywords":"Doors; Wage; Immigration; Demographic economics; Labour economics; Glass ceiling; Quantile regression; Economics; Relocation; Ethnic group; Sorting; Econometrics; Political science; Economic growth; Law; Engineering","score_opus":0.02769547787667035,"score_gpt":0.24495789116281394,"score_spread":0.2172624132861436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121553083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651823,0.00053259655,0.030961242,0.0010222171,0.00062252575,0.000086731256,0.0011701026,0.000007809318,0.0004144558],"genre_scores_gemma":[0.9898059,0.0015612334,0.0078557255,0.00021079015,0.00036161923,7.810112e-7,0.000017307199,0.00001800686,0.00016864885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812615,0.00001914715,0.0012914584,0.0002698962,0.000040520572,0.00025280347],"domain_scores_gemma":[0.99807525,0.00023383208,0.0012311166,0.00017603586,0.00010076992,0.00018300815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011186993,0.00020842032,0.0007913029,0.00016309042,0.00012367261,0.00024582288,0.00017093132,0.00011986324,0.00008474804],"category_scores_gemma":[0.00030707836,0.00018486673,0.000050508577,0.00010773165,0.00009534802,0.00039412343,0.00005363023,0.00022985385,0.000008851398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030878247,0.00012661128,0.60759324,0.00016381255,0.00019521624,0.00009111827,0.0005243754,0.00033953346,0.000007883714,0.3730281,0.00091619865,0.016705103],"study_design_scores_gemma":[0.0011822947,0.00018112494,0.82175964,0.00004596863,0.00003914202,0.00005680421,0.00005029062,0.0071784374,0.000003895165,0.16583885,0.0033491694,0.00031437524],"about_ca_topic_score_codex":0.00028679153,"about_ca_topic_score_gemma":0.00012305699,"teacher_disagreement_score":0.21416637,"about_ca_system_score_codex":0.00010977477,"about_ca_system_score_gemma":0.00007205886,"threshold_uncertainty_score":0.75386465},"labels":[],"label_agreement":null},{"id":"W3121597713","doi":"10.2139/ssrn.1015226","title":"Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intensity (physics); Estimation; Econometrics; Structural estimation; Mathematics; Computer science; Economics; Mathematical optimization; Statistics; Physics","score_opus":0.019394130788265844,"score_gpt":0.2619008098530644,"score_spread":0.24250667906479856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121597713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9427094,0.00081765343,0.05412925,0.00043718,0.00029417887,0.00013405863,0.000020271951,0.000013868864,0.0014441381],"genre_scores_gemma":[0.9980755,0.0005214657,0.0007152822,0.00003895542,0.00014898898,8.219052e-7,0.000011369811,0.000027294689,0.00046033732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996952,0.00003297858,0.0008180314,0.00027777808,0.00014165805,0.0017775864],"domain_scores_gemma":[0.9990266,0.00008288842,0.000323242,0.00026565106,0.00018275024,0.0001188607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007818815,0.00016220134,0.00040442793,0.00036388764,0.00017994003,0.000085180356,0.0003456016,0.00012505238,0.00007449014],"category_scores_gemma":[0.00012397247,0.000166218,0.00015975148,0.00046489367,0.000085884814,0.00025893765,0.00007621111,0.0014953545,0.000031938103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032552227,0.00006201336,0.19746263,0.00003096697,0.0002721333,0.000008943025,0.00075420534,0.0023169238,0.000075264514,0.7684558,0.00001693055,0.030218665],"study_design_scores_gemma":[0.0013726358,0.00044033912,0.15189162,0.000040829967,0.000016772088,0.00015377559,0.0019693032,0.023714393,0.00023998569,0.8196072,0.0001263676,0.00042675753],"about_ca_topic_score_codex":0.000707789,"about_ca_topic_score_gemma":0.00029381306,"teacher_disagreement_score":0.055366084,"about_ca_system_score_codex":0.0009832305,"about_ca_system_score_gemma":0.00046496463,"threshold_uncertainty_score":0.67781734},"labels":[],"label_agreement":null},{"id":"W3121598770","doi":"10.1108/s0147-912120140000041008","title":"Convergences in Men’s and Women’s Life Patterns: Lifetime Work, Lifetime Earnings, and Human Capital InvestmentThe authors would like to thank the participants of the IZA Workshop on Gender Convergence in April 2014 and the seminar participants at Middlebury College, Wesleyan University and the IAFFE Annual Conference for helpful comments. The authors also would like to thank the editors Sol Polachek and Kostas Tatsiramos and two anonymous referees for their helpful suggestions on this paper.","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Earnings; Human capital; Educational attainment; Convergence (economics); Demographic economics; Economics; Current Population Survey; Population; Census; Labour economics; Demography; Sociology; Economic growth","score_opus":0.06257214891692323,"score_gpt":0.26550819531633413,"score_spread":0.2029360463994109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121598770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95867777,0.0030394623,0.00003078279,0.027182814,0.0007630689,0.0054687504,0.0038665144,0.000024705489,0.0009461183],"genre_scores_gemma":[0.9796806,0.0034085528,0.00002284805,0.004363608,0.00019266443,0.00045854476,0.00003263287,0.00007233599,0.011768212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9957385,0.00069732673,0.001143501,0.0011767681,0.00030976365,0.0009341254],"domain_scores_gemma":[0.993924,0.0035618492,0.0008964101,0.00092130486,0.00020326767,0.0004931699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006693235,0.00082298025,0.0012723291,0.00021928336,0.0011523063,0.00028713985,0.0008434309,0.00063271815,0.000111587346],"category_scores_gemma":[0.0007741227,0.00041296406,0.0001392963,0.00020643591,0.0021157784,0.00021767175,0.0011864294,0.0012335245,0.000003610047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011496716,0.00045327988,0.165381,0.00046567185,0.0020332427,0.000013566318,0.26737517,0.00026601608,0.000015610849,0.5082452,0.043124977,0.0011294946],"study_design_scores_gemma":[0.03317422,0.004068443,0.29735997,0.0025874279,0.0015249714,0.000039977367,0.24841075,0.013018405,0.000054736316,0.1636415,0.23052709,0.005592507],"about_ca_topic_score_codex":0.0014234221,"about_ca_topic_score_gemma":0.0033176697,"teacher_disagreement_score":0.34460375,"about_ca_system_score_codex":0.00021823026,"about_ca_system_score_gemma":0.00012831441,"threshold_uncertainty_score":0.9998322},"labels":[],"label_agreement":null},{"id":"W3121619224","doi":"10.20955/wp.2007.015","title":"Supply Shocks, Demand Shocks, and Labor Market Fluctuations","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Universiteit Antwerpen","keywords":"Demand shock; Economics; Supply and demand; Supply shock; Monetary economics; Macroeconomics; Monetary policy","score_opus":0.02170621312339358,"score_gpt":0.24363710735021887,"score_spread":0.2219308942268253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121619224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6621434,0.0074181636,0.019301755,0.0024987916,0.0018511916,0.00093801273,0.0059770737,0.00019934135,0.29967225],"genre_scores_gemma":[0.9713052,0.0042215,0.005312521,0.001004103,0.00032024283,0.00005968715,0.00036526335,0.00007271152,0.017338809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99693704,0.000046530717,0.0012799092,0.0011052872,0.000088934874,0.00054228486],"domain_scores_gemma":[0.9979136,0.0002392582,0.0005334221,0.0009404017,0.00012990893,0.00024339913],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024340197,0.00046649744,0.0008817307,0.00045255825,0.00017235329,0.00036001427,0.00045239288,0.0006228785,0.0048607294],"category_scores_gemma":[0.00032191665,0.0005200633,0.00019351603,0.00026809474,0.00011880646,0.00016270137,0.00086129433,0.0006880639,0.00009416992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003458412,0.000101390215,0.3475194,0.00020001724,0.00017600102,0.000012823635,0.00017908598,0.0000616415,0.0000022814663,0.6470049,0.003658744,0.0010491535],"study_design_scores_gemma":[0.00047270284,0.00002530099,0.45805475,0.00004568788,0.000026655307,0.0000050441167,0.000041370193,0.010144537,0.0000071022814,0.49589768,0.034530975,0.0007482014],"about_ca_topic_score_codex":0.0010879029,"about_ca_topic_score_gemma":0.0004981744,"teacher_disagreement_score":0.30916172,"about_ca_system_score_codex":0.0001844717,"about_ca_system_score_gemma":0.00008482881,"threshold_uncertainty_score":0.9997251},"labels":[],"label_agreement":null},{"id":"W3121623561","doi":"","title":"Drivers of gendered sectoral and occupational segregation in developing countries","year":2017,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Georg-August-Universität Göttingen; Department for International Development; International Development Research Centre","keywords":"Developing country; Occupational segregation; Demographic economics; Economics; Panel data; Labour economics; Wage; Falling (accident); Economic growth; Medicine; Environmental health; Econometrics","score_opus":0.04286961828964036,"score_gpt":0.26116885658538513,"score_spread":0.21829923829574477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121623561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606116,0.0019847502,0.0010089655,0.0004786774,0.0019333508,0.00041337,0.0021888737,0.00003242558,0.005898421],"genre_scores_gemma":[0.995234,0.0016167616,0.0024333736,0.0001405309,0.00011345054,0.000040424216,0.0002060432,0.00003479525,0.00018062805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973569,0.000057625843,0.0013127754,0.0008295812,0.000088944646,0.00035415372],"domain_scores_gemma":[0.9971072,0.0001732725,0.0018069177,0.00067413785,0.00014048709,0.000097972435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012908074,0.0003818002,0.0010329329,0.0005571915,0.00017710045,0.00018373085,0.00043339346,0.0005014002,0.00027548257],"category_scores_gemma":[0.0002881736,0.0004956079,0.0001646056,0.000086244945,0.00041188515,0.00035117485,0.00041811125,0.00043941214,0.0000319944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027593731,0.000023809016,0.75190866,0.00022721064,0.000085015134,0.0000054316715,0.00036265585,0.00006433162,0.0000010103678,0.247097,0.00008605114,0.00011126061],"study_design_scores_gemma":[0.0008077886,0.00001798525,0.89444757,0.00018665903,0.000012952339,0.0000045349557,0.00004078619,0.0019485803,0.000018009221,0.09822303,0.003708944,0.0005831448],"about_ca_topic_score_codex":0.0012773356,"about_ca_topic_score_gemma":0.0014738651,"teacher_disagreement_score":0.14887397,"about_ca_system_score_codex":0.00062340376,"about_ca_system_score_gemma":0.0006169292,"threshold_uncertainty_score":0.99974954},"labels":[],"label_agreement":null},{"id":"W3121658326","doi":"10.3386/w22918","title":"Disappearing Routine Jobs: Who, How, and Why?","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Labour economics; Economics","score_opus":0.3477565741666762,"score_gpt":0.4557964527494393,"score_spread":0.1080398785827631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121658326","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024446819,0.0044012573,0.00014717622,0.006426208,0.0009900678,0.00059654674,0.0025646433,0.000026848613,0.96040046],"genre_scores_gemma":[0.9590129,0.008389319,0.00012315324,0.000049045593,0.001206349,0.00006628438,0.00023850177,0.00007976271,0.030834638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99674654,0.000096586504,0.0011956482,0.00094811316,0.00043524703,0.0005778591],"domain_scores_gemma":[0.99671596,0.00083037536,0.0008462515,0.0005293431,0.00090342347,0.00017463873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011769945,0.00029797966,0.001004988,0.0009914418,0.00016525072,0.00022869524,0.0005741647,0.00049210555,0.00063270767],"category_scores_gemma":[0.0026155366,0.00029908755,0.00021518616,0.00018651075,0.00035914354,0.00033716307,0.00046124603,0.0006541363,0.00013932328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002633704,0.000042097574,0.032039482,0.00022612019,0.00019704356,0.000002806804,0.000036334517,0.0000063392663,0.0000064849746,0.9489156,0.01733059,0.0011707552],"study_design_scores_gemma":[0.0005528639,0.00006231346,0.011967642,0.00017786345,0.0000054442085,0.000009741973,0.00001707601,0.00050114735,0.00001000958,0.8505107,0.13581371,0.00037144567],"about_ca_topic_score_codex":0.0026291935,"about_ca_topic_score_gemma":0.00028497912,"teacher_disagreement_score":0.93456614,"about_ca_system_score_codex":0.0017190136,"about_ca_system_score_gemma":0.00079330505,"threshold_uncertainty_score":0.9999461},"labels":[],"label_agreement":null},{"id":"W3121704990","doi":"10.2139/ssrn.2273652","title":"Duration Dependence and Labor Market Conditions: Evidence from a Field Experiment","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Duration (music); Economics; Econometrics; Physics","score_opus":0.014725162885262781,"score_gpt":0.2382031176911666,"score_spread":0.2234779548059038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121704990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97413695,0.013072783,0.007793811,0.003477313,0.00021633877,0.00017382672,0.00003925719,0.000016695258,0.0010730408],"genre_scores_gemma":[0.98502386,0.013213992,0.0003298152,0.00039086718,0.00013698515,0.000034420453,0.00000525583,0.000011921496,0.00085287855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983628,0.000047032943,0.00050074945,0.00026945304,0.000057317568,0.0007626941],"domain_scores_gemma":[0.99915427,0.00020257618,0.00030413896,0.00019021425,0.00006598798,0.00008281946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012540979,0.0001240512,0.00020215909,0.00008139654,0.00016719711,0.00021258902,0.00018276428,0.000081226564,0.0016877262],"category_scores_gemma":[0.00037773894,0.00012644254,0.000054120916,0.00010548283,0.000027074742,0.00072085235,0.000044437857,0.00058514974,0.00009208667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004251169,0.00006438718,0.16423866,0.00000815836,0.00013592663,0.0000033167687,0.00034040984,0.0000039956276,0.00054721604,0.83082587,0.0005142596,0.0032752606],"study_design_scores_gemma":[0.0003088917,0.00013319148,0.063575245,0.000033027794,0.0000061606206,0.000028585335,0.00042021787,0.0016532645,0.000109465174,0.9332275,0.000319334,0.00018516215],"about_ca_topic_score_codex":0.002071339,"about_ca_topic_score_gemma":0.0005416631,"teacher_disagreement_score":0.10240156,"about_ca_system_score_codex":0.00034218942,"about_ca_system_score_gemma":0.0001735665,"threshold_uncertainty_score":0.99922484},"labels":[],"label_agreement":null},{"id":"W3121706854","doi":"","title":"On-the-Job Search and Precautionary Savings: Theory and Empirics of Earnings and Wealth Inequality","year":2006,"lang":"en","type":"article","venue":"2006 Meeting Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Earnings; Wage; Labour economics; Unemployment; Inequality; Compensating differential; Distribution (mathematics); Efficiency wage; Incentive; General equilibrium theory; Wage share; Microeconomics; Macroeconomics","score_opus":0.01666790003863871,"score_gpt":0.2336033898175581,"score_spread":0.21693548977891938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121706854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97355646,0.0013608363,0.00005111824,0.0010143396,0.000048104852,0.00014299738,0.00013102862,0.000018106495,0.023676995],"genre_scores_gemma":[0.9983352,0.00037488446,0.00021309113,0.0003426098,0.000036545844,0.0000058534993,0.0000082863935,0.000015909121,0.00066762744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998749,0.00016125602,0.00045896776,0.0003405296,0.0000631718,0.00022703629],"domain_scores_gemma":[0.9985709,0.000933203,0.00021597957,0.00019055505,0.000032281405,0.000057089437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004438047,0.00013368517,0.00026879355,0.00008839018,0.00020000359,0.000050209415,0.00008702332,0.00008529525,0.000037855156],"category_scores_gemma":[0.000568899,0.000118937394,0.00003436201,0.0001494655,0.00023135256,0.000061980725,0.00009440253,0.0001845609,0.0000025541913],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039329276,0.000030254967,0.47173795,0.00009082733,0.000016631759,9.60406e-7,0.0004791348,0.00005217131,0.0000851533,0.5266654,0.0000780433,0.00072415796],"study_design_scores_gemma":[0.00040725796,0.000075181975,0.85975266,0.000067458335,0.000007798627,0.000003738071,0.00027245027,0.0008966585,0.00003229164,0.13635698,0.0018960527,0.00023149316],"about_ca_topic_score_codex":0.0011818055,"about_ca_topic_score_gemma":0.000091493544,"teacher_disagreement_score":0.39030838,"about_ca_system_score_codex":0.000031582716,"about_ca_system_score_gemma":0.000017567983,"threshold_uncertainty_score":0.48501262},"labels":[],"label_agreement":null},{"id":"W3121713237","doi":"10.1016/j.jpubeco.2010.02.006","title":"Heterogeneous treatment and self-selection in a wage subsidy experiment","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Innovation, Science and Economic Development Canada","funders":"Industry Canada; Sugar Research and Development Corporation; Government of Canada","keywords":"Wage; Economics; Subsidy; Welfare; Incentive; Selection bias; Selection (genetic algorithm); Demographic economics; Labour economics; Microeconomics; Statistics; Computer science; Mathematics","score_opus":0.020449243833035338,"score_gpt":0.2245827226569612,"score_spread":0.20413347882392585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121713237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924445,0.00044238623,0.0007475521,0.0003242335,0.00006903116,0.00014994727,0.000026552498,0.000039882318,0.0057559228],"genre_scores_gemma":[0.9978058,0.0007610223,0.00038276272,0.000061521256,0.000025180307,0.000041986503,0.0000011874944,0.000010939798,0.0009096466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918795,0.000014876299,0.00030100276,0.00029815792,0.000012994652,0.00018502075],"domain_scores_gemma":[0.99972266,0.000032601776,0.00007098969,0.00011378484,0.000007818525,0.000052121453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020718704,0.00010613267,0.00019594515,0.00010076473,0.000030185804,0.00002910354,0.000043198816,0.000052091928,0.00027771742],"category_scores_gemma":[0.000011654596,0.00007794657,0.000037210222,0.00008315333,0.000013152533,0.0000876878,0.00002176972,0.00001926985,0.000050725415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005456017,0.000841981,0.5383446,0.000010616962,0.00009198718,0.00001444993,0.0007456425,0.000009823817,0.0013807421,0.44541547,0.00002134376,0.013068752],"study_design_scores_gemma":[0.016080696,0.0029059998,0.566132,0.000071387825,0.000026205289,0.0000804959,0.00018571378,0.014470202,0.023842705,0.2710452,0.10248707,0.002672314],"about_ca_topic_score_codex":0.00071873306,"about_ca_topic_score_gemma":0.0005300602,"teacher_disagreement_score":0.17437026,"about_ca_system_score_codex":0.00028474224,"about_ca_system_score_gemma":0.0000073569786,"threshold_uncertainty_score":0.31785688},"labels":[],"label_agreement":null},{"id":"W3121756913","doi":"","title":"The Evolution of the Gender Earnings Gap Amongst Canadian University Graduates","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bachelor; Earnings; Residence; Gender gap; Demographic economics; Work (physics); Gender pay gap; Psychology; Labour economics; Political science; Economics; Accounting; Engineering; Wage","score_opus":0.03709282388690626,"score_gpt":0.2483985537848565,"score_spread":0.21130572989795024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121756913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8530396,0.00044077003,0.000015701373,0.0016643384,0.0007629074,0.0006519367,0.0006500002,0.000014206822,0.14276053],"genre_scores_gemma":[0.99233,0.004926305,0.00004866917,0.000030397163,0.00007354604,0.000015550151,0.000024406858,0.000037907314,0.0025132247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973524,0.00022603631,0.00077924307,0.0007422833,0.00009947132,0.00080057076],"domain_scores_gemma":[0.9974128,0.00033266505,0.0005972565,0.0013102278,0.0001476228,0.00019941384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003897004,0.00024883816,0.00048437962,0.000477906,0.0005846268,0.00013590805,0.0015014854,0.00041575436,0.00004593206],"category_scores_gemma":[0.00071741716,0.00022752314,0.00029786417,0.00035144185,0.0006312719,0.00009868432,0.0009569037,0.0016013995,0.000013729435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045933946,0.00006833336,0.3938948,0.0001220723,0.00016158675,0.000009868221,0.00058653584,0.013021332,0.0000029635657,0.5885311,0.00003398065,0.003521541],"study_design_scores_gemma":[0.0005419411,0.000029479223,0.5672609,0.00010168745,0.000008545758,0.0000024332571,0.0011751041,0.006893088,0.000005897307,0.3914073,0.032106534,0.00046708688],"about_ca_topic_score_codex":0.18136284,"about_ca_topic_score_gemma":0.22367465,"teacher_disagreement_score":0.19712375,"about_ca_system_score_codex":0.006626777,"about_ca_system_score_gemma":0.0018328151,"threshold_uncertainty_score":0.9971866},"labels":[],"label_agreement":null},{"id":"W3121763229","doi":"","title":"Wages, Productivity and Aging","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Human Resources and Skills Development Canada","keywords":"Productivity; Workforce; Wage; Economics; Labour economics; Efficiency wage; Survey data collection; Production (economics); Wage growth; Demographic economics; Mathematics; Statistics; Economic growth; Microeconomics","score_opus":0.0376602078181451,"score_gpt":0.2865552828476971,"score_spread":0.248895075029552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121763229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8541116,0.0012986404,0.000025250223,0.0010857644,0.000617263,0.00065900426,0.0005316915,0.000048304995,0.14162244],"genre_scores_gemma":[0.98884696,0.0056924447,0.0007095104,0.00005237345,0.0004098854,0.0001524611,0.00012263448,0.00008818921,0.0039255717],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99585944,0.00016955708,0.0011845381,0.0017681732,0.000087219945,0.0009310887],"domain_scores_gemma":[0.9976146,0.0003109504,0.00047705104,0.0013450104,0.00007821846,0.00017414699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005805433,0.00040183653,0.0009774282,0.0007616784,0.00019102283,0.0003728585,0.0006054775,0.0005034477,0.00006125858],"category_scores_gemma":[0.00062710093,0.000511877,0.00016741978,0.00019896567,0.00034494532,0.00019078086,0.001629572,0.0019243873,0.000016182245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000735065,0.0005310398,0.5974329,0.0009571997,0.00020084935,0.0000798571,0.00051575893,0.0035265214,0.000021473548,0.16779776,0.00010710263,0.22875603],"study_design_scores_gemma":[0.001034412,0.00007405201,0.3243841,0.00022112251,0.000008515624,0.000012660584,0.00008493199,0.01644737,0.000027280015,0.57131124,0.084896244,0.0014981235],"about_ca_topic_score_codex":0.0018309404,"about_ca_topic_score_gemma":0.001272284,"teacher_disagreement_score":0.40351346,"about_ca_system_score_codex":0.00089452,"about_ca_system_score_gemma":0.00016460338,"threshold_uncertainty_score":0.99973327},"labels":[],"label_agreement":null},{"id":"W3121765774","doi":"10.2139/ssrn.2968475","title":"Unemployment, Marginal Attachment and Labor Force Participation in Canada and the United States","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Unemployment; Labour economics; Economics; Demographic economics; Economic growth","score_opus":0.014838730658794994,"score_gpt":0.24941517635947205,"score_spread":0.23457644570067707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121765774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910613,0.001631833,0.00026226707,0.0066787866,0.00009478718,0.00010097568,0.000029637355,0.000003295001,0.00013717728],"genre_scores_gemma":[0.9888844,0.010536166,0.000008552178,0.00025772644,0.00003304722,0.000008269225,0.0000062691124,0.000010925882,0.0002546255],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99868935,0.000042788382,0.0003388031,0.00014807035,0.00004159074,0.0007394124],"domain_scores_gemma":[0.9993102,0.00008211615,0.0003513003,0.00017786317,0.000025299625,0.0000532082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201587,0.00009161124,0.00019095131,0.00006143368,0.00025965695,0.00016741217,0.0001625172,0.000023796696,0.0000072386515],"category_scores_gemma":[0.00013884378,0.0000730049,0.00001875297,0.000059284408,0.00006989663,0.0001424373,0.000053957137,0.0004450484,5.6013545e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047116642,0.000007527893,0.5416449,0.0000030124045,0.000028010192,0.0000012974149,0.0000761342,0.0000647089,1.8978929e-7,0.4575478,0.0000047608273,0.00057457486],"study_design_scores_gemma":[0.0015526895,0.00003460945,0.42019525,0.0000069500848,0.0000060239804,0.000009748155,0.00024194807,0.010878182,9.350623e-7,0.5656495,0.0013289368,0.000095241994],"about_ca_topic_score_codex":0.73008454,"about_ca_topic_score_gemma":0.9268721,"teacher_disagreement_score":0.19678754,"about_ca_system_score_codex":0.00077590626,"about_ca_system_score_gemma":0.0004393666,"threshold_uncertainty_score":0.29770535},"labels":[],"label_agreement":null},{"id":"W3121772492","doi":"10.2139/ssrn.2184248","title":"Estimating the Impact of Minimum Wages on Employment, Wages and Non-Wage Benefits: The Case of Agriculture in South Africa","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Agriculture; Labour economics; Wage; Economics; Efficiency wage; Minimum wage; Geography","score_opus":0.01735623175226219,"score_gpt":0.24364034306528495,"score_spread":0.22628411131302276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121772492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907194,0.0078038108,0.00025970314,0.00021896973,0.00008622536,0.00014153749,0.00011302195,0.0000030523856,0.0006543127],"genre_scores_gemma":[0.99905133,0.00067660835,0.00004673293,0.000015430609,0.000117872194,0.0000047966737,0.0000018454843,0.000013495818,0.00007189443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982428,0.00006337113,0.0005662042,0.00014141234,0.000044183216,0.00094202964],"domain_scores_gemma":[0.99887127,0.00017549968,0.000648654,0.0002177579,0.000035008652,0.00005178779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034617411,0.00015592379,0.00031671804,0.00010285804,0.00014639145,0.000040874515,0.0002163519,0.000069939175,0.000012197427],"category_scores_gemma":[0.0001689636,0.000083804174,0.00014438735,0.00025182907,0.000060017333,0.00014813882,0.00005393742,0.0007841927,0.0000018528184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013728412,0.0005173568,0.48799723,0.000043088854,0.0006422393,0.000016742173,0.019479597,0.0043510883,0.00015219965,0.47643456,0.000064566186,0.010164066],"study_design_scores_gemma":[0.002884279,0.001629006,0.57673126,0.00019667596,0.00009812575,0.0010466194,0.013998437,0.011003093,0.00012480158,0.39136273,0.00010428348,0.0008206907],"about_ca_topic_score_codex":0.00064997794,"about_ca_topic_score_gemma":0.00036935648,"teacher_disagreement_score":0.08873403,"about_ca_system_score_codex":0.0002344184,"about_ca_system_score_gemma":0.00008846486,"threshold_uncertainty_score":0.3417435},"labels":[],"label_agreement":null},{"id":"W3121859066","doi":"10.3386/w17746","title":"Directed Search over the Life Cycle","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Banco de España; Ministerio de Ciencia e Innovación; Simon Fraser University","keywords":"Human capital; Labour economics; Economics; Productivity; Wage; Unemployment; Life expectancy; Search theory; Quality (philosophy); Work (physics); Efficiency wage; Microeconomics; Population; Engineering; Macroeconomics","score_opus":0.26210398342947544,"score_gpt":0.4382970967383538,"score_spread":0.17619311330887838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121859066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5454969,0.0048688916,0.000075174605,0.0047362978,0.0015791901,0.0011254678,0.002144192,0.000059896003,0.439914],"genre_scores_gemma":[0.99627227,0.000639301,0.00018023346,0.00012556641,0.000982071,0.00012782641,0.00032000578,0.000052385854,0.0013003243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967095,0.00028172406,0.0012496782,0.0007269006,0.00035098093,0.00068119384],"domain_scores_gemma":[0.99657327,0.0013060492,0.00051621563,0.0008722427,0.00051937805,0.00021282391],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012478839,0.00025702582,0.00067123544,0.00065242674,0.00023035273,0.00020753974,0.0013206531,0.000459328,0.0026145505],"category_scores_gemma":[0.0013280901,0.00024271125,0.0003050345,0.00028525878,0.00038068535,0.00019249452,0.001347496,0.0015483261,0.0007072718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043456683,0.00012575618,0.015027574,0.00010155576,0.00025264145,4.988269e-7,0.00020455825,0.002452468,0.0000042890892,0.9783672,0.003195151,0.00022483536],"study_design_scores_gemma":[0.0003448726,0.000017462831,0.052494485,0.00002504129,0.0000056260756,7.502669e-7,0.000026578216,0.026250932,0.00001073359,0.916533,0.004031231,0.00025926667],"about_ca_topic_score_codex":0.0049935034,"about_ca_topic_score_gemma":0.00015085281,"teacher_disagreement_score":0.45077538,"about_ca_system_score_codex":0.00086516293,"about_ca_system_score_gemma":0.0006848787,"threshold_uncertainty_score":0.9982972},"labels":[],"label_agreement":null},{"id":"W3121923131","doi":"10.34989/swp-1997-12","title":"A Micro Approach to the Issue of Hysteresis in Unemployment: Evidence from the 19881990 Labour Market Activity Survey","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Unemployment; Humanities; Political science; Economics; Art; Economic growth","score_opus":0.08518125259260406,"score_gpt":0.3110114403284118,"score_spread":0.22583018773580776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121923131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789091,0.0015418081,0.000049360267,0.002595415,0.0005392429,0.001401721,0.0036181607,0.00001153505,0.0113336705],"genre_scores_gemma":[0.98499995,0.011931538,0.0005488839,0.0003127586,0.00016841643,0.0003608326,0.00011303325,0.00007347796,0.0014910791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937867,0.0018063982,0.0016214608,0.0017009531,0.00018632886,0.0008981559],"domain_scores_gemma":[0.9915023,0.0045749545,0.0007221138,0.0028690284,0.00017546222,0.00015618336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01754887,0.0004468955,0.0013166035,0.00040562314,0.00015688043,0.00044546844,0.0024683715,0.00048108425,0.00026605983],"category_scores_gemma":[0.004348059,0.0003899802,0.0002930142,0.00073924393,0.0002630924,0.00018980097,0.0029675302,0.0019945898,0.000016330438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006422578,0.000836334,0.9579676,0.00047736563,0.00039572423,0.000016761483,0.0034610138,0.008171,0.000057835336,0.0022612978,0.00037078216,0.025342038],"study_design_scores_gemma":[0.00046168876,0.000039872684,0.9764274,0.00038146475,0.0000063816037,0.0000010702818,0.0005966534,0.010754914,0.00006490028,0.004203476,0.006525502,0.0005367257],"about_ca_topic_score_codex":0.048245247,"about_ca_topic_score_gemma":0.030912107,"teacher_disagreement_score":0.024805313,"about_ca_system_score_codex":0.0010944894,"about_ca_system_score_gemma":0.0004399648,"threshold_uncertainty_score":0.9998552},"labels":[],"label_agreement":null},{"id":"W3121928906","doi":"","title":"The Returns to Computer Use Revisited, Again","year":2006,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kellogg's (Canada); HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada; HEC Montréal; Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Wage; Econometrics; Differential (mechanical device); Selection (genetic algorithm); Economics; Panel data; Computer science; Labour economics; Engineering; Artificial intelligence","score_opus":0.031095882820281473,"score_gpt":0.27219102332594575,"score_spread":0.24109514050566427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121928906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90306866,0.00022041716,0.00012950318,0.002138968,0.00042226206,0.0006159332,0.0002402459,0.000040403484,0.093123615],"genre_scores_gemma":[0.9896896,0.0020173567,0.001291696,0.00050267123,0.00039389142,0.0000677855,0.0000348539,0.000050666138,0.005951471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972162,0.0001371303,0.0009968926,0.00071659614,0.000076956625,0.00085620384],"domain_scores_gemma":[0.9976623,0.00089197315,0.000191074,0.0010119296,0.000084816245,0.00015791373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004290034,0.00019749852,0.00040603537,0.00033410336,0.00033131466,0.0005399559,0.00062934094,0.00014733286,0.000059758597],"category_scores_gemma":[0.00052279735,0.00018835712,0.00013995507,0.00040087022,0.00015208243,0.00022603743,0.0003272193,0.00050720456,0.00012154566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010630141,0.00015668615,0.1642151,0.00002677561,0.000048716236,0.000032674376,0.00015014672,0.0027263553,0.000021350821,0.7804979,0.0012366498,0.05078134],"study_design_scores_gemma":[0.00072124146,0.00011962712,0.18982688,0.000045221626,0.0000018177822,0.0000063623097,0.000081338716,0.022809949,0.000013370302,0.1120762,0.6737265,0.0005715115],"about_ca_topic_score_codex":0.00055396854,"about_ca_topic_score_gemma":0.0013685204,"teacher_disagreement_score":0.6724898,"about_ca_system_score_codex":0.0005716124,"about_ca_system_score_gemma":0.000049412,"threshold_uncertainty_score":0.76809806},"labels":[],"label_agreement":null},{"id":"W3121951297","doi":"","title":"Knowledge Workers in Canada's Economy, 1971 to 2001","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knowledge economy; Business; Economics; Economy","score_opus":0.032424318179879605,"score_gpt":0.22980570232042824,"score_spread":0.19738138414054862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121951297","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46436328,0.00021469411,0.00059127243,0.00063177146,0.00036181635,0.00013416103,0.000042564086,0.000010122526,0.53365034],"genre_scores_gemma":[0.9917746,0.000022522474,0.00064130727,0.0010013807,0.00002458773,0.000022882996,0.0000042056236,0.000016743277,0.00649176],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985953,0.00002409837,0.0005564911,0.00037043277,0.000015340318,0.00043831667],"domain_scores_gemma":[0.99931765,0.00006643519,0.00008723663,0.00031915508,0.000022556145,0.00018700049],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078320975,0.0001360057,0.00031886634,0.00016550283,0.000036029363,0.00004262276,0.00018813387,0.000050336082,0.0017604214],"category_scores_gemma":[0.00015341569,0.0001585935,0.000044737444,0.0004221623,0.000009868482,0.00008921125,0.000037149595,0.000108711065,0.0003456782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035291891,0.00003169694,0.5826771,0.0000064410838,0.00000870609,0.0000041373764,0.000040325576,0.00011779931,2.6653646e-7,0.41207874,0.004654067,0.0003771521],"study_design_scores_gemma":[0.00067233347,0.000024227753,0.19027734,0.000013333599,0.0000015957205,0.0000018548063,0.0003802415,0.0018601854,0.00001979571,0.09925569,0.7068849,0.0006084825],"about_ca_topic_score_codex":0.8735733,"about_ca_topic_score_gemma":0.98275805,"teacher_disagreement_score":0.7022309,"about_ca_system_score_codex":0.00094559643,"about_ca_system_score_gemma":0.00047952202,"threshold_uncertainty_score":0.9991521},"labels":[],"label_agreement":null},{"id":"W3121970911","doi":"","title":"The Employment and Output Effects of Short-Time Work in Germany","year":2017,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Allocative efficiency; Unemployment; Economics; Labour economics; Recession; Work (physics); Intervention (counseling); German; Great recession; Demographic economics; Macroeconomics; Microeconomics; Medicine","score_opus":0.1655558754558373,"score_gpt":0.41888288937604434,"score_spread":0.25332701392020707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121970911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9432545,0.0007948946,0.000007154969,0.0013414301,0.00014832758,0.00029236916,0.00003882862,0.0000025669278,0.054119963],"genre_scores_gemma":[0.99800974,0.0004676532,0.000059853264,0.000010523662,0.000056730718,0.00003052293,0.000004797167,0.000009864355,0.0013502954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988056,0.000052637075,0.0005616465,0.00025112164,0.00009864823,0.0002303363],"domain_scores_gemma":[0.9981973,0.001017538,0.00024434977,0.00038729675,0.00010629155,0.000047202804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045626666,0.000077742145,0.00027692123,0.0002123201,0.00020511249,0.00010384577,0.00047376595,0.000076441975,0.000024394123],"category_scores_gemma":[0.0009339573,0.00007209377,0.000056204422,0.000061688705,0.0003049991,0.00015311154,0.00022155583,0.00017419038,0.000038438677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057172187,0.00004979416,0.11422609,0.00003165045,0.00004062574,0.0000010561305,0.00007081033,0.000033343113,0.000027116563,0.8832091,0.00024554232,0.0020076707],"study_design_scores_gemma":[0.00034620296,0.000038540544,0.39799002,0.000025515199,8.541634e-7,2.8794602e-7,0.000005769482,0.001738298,0.00006153995,0.5985886,0.0011312114,0.00007319122],"about_ca_topic_score_codex":0.0005974393,"about_ca_topic_score_gemma":0.00011769915,"teacher_disagreement_score":0.28462055,"about_ca_system_score_codex":0.00019346357,"about_ca_system_score_gemma":0.00006286063,"threshold_uncertainty_score":0.29398984},"labels":[],"label_agreement":null},{"id":"W3121988750","doi":"","title":"The Gender Composition and Wages: Why is Canada Different from the United States?","year":2000,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Equity (law); Wage; Pay Equity; Gender equity; Occupational segregation; Economics; Wage growth; Labour economics; Demographic economics; Composition (language); Political science; Law","score_opus":0.09147788438171807,"score_gpt":0.30989637767721795,"score_spread":0.2184184932954999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121988750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.930365,0.008624363,0.000020312338,0.057722222,0.00009220775,0.00020797657,0.000621749,0.000012707509,0.0023334466],"genre_scores_gemma":[0.9505678,0.043961093,0.000006134694,0.0043515973,0.00009884207,0.000034797617,0.0000623278,0.000014029943,0.0009033942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982583,0.00019502574,0.00043392283,0.00038039708,0.00021357584,0.0005187683],"domain_scores_gemma":[0.99760056,0.0016449554,0.00005387137,0.00042395506,0.00016525784,0.000111406946],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010161096,0.00016687947,0.00032792662,0.00003527291,0.0013196765,0.00028275128,0.00030527322,0.000048165955,0.00055105676],"category_scores_gemma":[0.0001958651,0.000096687516,0.00005809867,0.00039586143,0.0006763933,0.00013892398,0.00018959826,0.00036562103,0.000020354111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006402264,0.00020879951,0.16322915,0.00011757803,0.0037061847,0.00003937154,0.0066000456,0.00008333587,0.000016854969,0.64864165,0.16735944,0.009357395],"study_design_scores_gemma":[0.00034817087,0.00005310356,0.21780726,0.000017712784,0.000018171735,0.000001002598,0.0016120468,0.0021723849,0.0000073121587,0.2027165,0.5750292,0.00021712507],"about_ca_topic_score_codex":0.2740928,"about_ca_topic_score_gemma":0.29658467,"teacher_disagreement_score":0.44592512,"about_ca_system_score_codex":0.00016335578,"about_ca_system_score_gemma":0.000030252639,"threshold_uncertainty_score":0.99998045},"labels":[],"label_agreement":null},{"id":"W3122012233","doi":"","title":"Cyclical Wage Movements in Emerging Markets Compared to Developed Economies: the Role of Interest Rates","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Wage; Monetary economics; Emerging markets; Productivity; Interest rate; Financial market; Labour economics; Macroeconomics; Finance","score_opus":0.07471451193713505,"score_gpt":0.32053202612243814,"score_spread":0.2458175141853031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122012233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9172468,0.0003291707,0.000008386843,0.0005825169,0.00043946246,0.0011053199,0.00055092445,0.000017706398,0.07971966],"genre_scores_gemma":[0.9890057,0.009148144,0.0004478323,0.00018507062,0.000106012136,0.00034763865,0.00009534977,0.00008339545,0.00058086036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946266,0.0003028222,0.0025890183,0.0013490736,0.000087743254,0.0010447899],"domain_scores_gemma":[0.9966278,0.0008306284,0.00072494766,0.0014866191,0.00010694955,0.00022303699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00507485,0.00047259603,0.0014035843,0.0011578484,0.0001491922,0.00016715142,0.0017392207,0.000427028,0.00019143893],"category_scores_gemma":[0.0010476732,0.0005038838,0.00026424698,0.0003993348,0.0003028165,0.00015007656,0.0024170184,0.001615722,0.000043409902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007050238,0.0008243986,0.8623387,0.0002891701,0.0004440214,0.000049564696,0.0049079997,0.01806639,0.0000610599,0.04548285,0.00007543674,0.06675534],"study_design_scores_gemma":[0.0024128796,0.000112481925,0.6516785,0.00060505,0.0000052906485,0.000006368467,0.003500354,0.08000951,0.00026636443,0.19810756,0.061513573,0.001782048],"about_ca_topic_score_codex":0.0014423489,"about_ca_topic_score_gemma":0.003805835,"teacher_disagreement_score":0.21066022,"about_ca_system_score_codex":0.0014343596,"about_ca_system_score_gemma":0.0002997232,"threshold_uncertainty_score":0.99974126},"labels":[],"label_agreement":null},{"id":"W3122052690","doi":"","title":"Wage Posting Without Full Commitment","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Commit; Wage; Wage dispersion; Economics; Efficiency wage; Common value auction; Labour economics; Microeconomics; Computer science","score_opus":0.05916957508895604,"score_gpt":0.3044735269764333,"score_spread":0.24530395188747728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122052690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7291808,0.0005878626,0.000033528337,0.0005482881,0.00094338343,0.00090222794,0.0007875888,0.00006887012,0.26694745],"genre_scores_gemma":[0.9701774,0.024386851,0.0015441108,0.0002088328,0.0003838974,0.0002670193,0.00023173356,0.00014589947,0.0026542651],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944863,0.00023695122,0.0020068542,0.0017725304,0.0001481413,0.0013492581],"domain_scores_gemma":[0.9962444,0.00049136975,0.0008211152,0.0019869204,0.00013410373,0.00032212315],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0048931185,0.0005699307,0.0014137443,0.0009124232,0.0003237517,0.0002962622,0.001308185,0.0007471909,0.0002170745],"category_scores_gemma":[0.0008832516,0.0007149386,0.00039183543,0.00024399193,0.0003658033,0.0001664563,0.0021046463,0.0026965658,0.00012739017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065592956,0.0024686174,0.61598563,0.0010473686,0.001041008,0.0005319098,0.003131951,0.020791119,0.000051864103,0.21016312,0.00033770886,0.14379378],"study_design_scores_gemma":[0.0059265113,0.00088492053,0.1270172,0.0010882424,0.000031447587,0.000118488184,0.0009703268,0.17851019,0.00006787083,0.42613575,0.2532842,0.005964847],"about_ca_topic_score_codex":0.00082289963,"about_ca_topic_score_gemma":0.00051228644,"teacher_disagreement_score":0.48896843,"about_ca_system_score_codex":0.002013335,"about_ca_system_score_gemma":0.00032365488,"threshold_uncertainty_score":0.9996042},"labels":[],"label_agreement":null},{"id":"W3122064110","doi":"10.2139/ssrn.988645","title":"Human Capital Accumulation and the Transition from Specialization to Multi-Tasking","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Human capital; Transition (genetics); Human multitasking; Economic geography; Business; Industrial organization; Process management; Economics; Economic system; Knowledge management; Computer science; Psychology; Cognitive psychology; Market economy; Biology; Genetics","score_opus":0.025347885244880002,"score_gpt":0.2514745622771718,"score_spread":0.2261266770322918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122064110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77613294,0.0009548979,0.22157122,0.00051709503,0.00016256797,0.00012876978,0.000019660907,0.000007973885,0.00050488504],"genre_scores_gemma":[0.99879885,0.00048265848,0.00020217436,0.0001936623,0.00018264908,0.0000042142683,0.000013919897,0.000014453389,0.000107421576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987619,0.000080129495,0.00038741544,0.00018529544,0.000041367235,0.00054392085],"domain_scores_gemma":[0.9995769,0.00003238289,0.00020025276,0.00011357961,0.000032588905,0.00004427311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023792116,0.00009575552,0.0001790888,0.00008611899,0.00029558895,0.00013818794,0.00009206632,0.000055109704,0.000060030903],"category_scores_gemma":[0.00011513646,0.00008489158,0.00006325593,0.00012963018,0.000035325997,0.00019272068,0.000009386911,0.0003959098,0.000013782027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018612154,0.000021748907,0.004750277,0.0000011477201,0.000040541967,3.3519734e-7,0.0010865777,0.0004073717,0.00002401899,0.99302787,0.0000017858135,0.0006197075],"study_design_scores_gemma":[0.0015833535,0.000035314562,0.01346806,0.0000052353216,0.000009914395,0.000009762015,0.0005078658,0.0023849236,0.000007759114,0.9814752,0.00038412435,0.00012849717],"about_ca_topic_score_codex":0.0004546015,"about_ca_topic_score_gemma":0.0014358612,"teacher_disagreement_score":0.2226659,"about_ca_system_score_codex":0.00032964285,"about_ca_system_score_gemma":0.00006444958,"threshold_uncertainty_score":0.34617782},"labels":[],"label_agreement":null},{"id":"W3122064841","doi":"10.3386/w20876","title":"Wage Inequality and Firm Growth","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage inequality; Inequality; Wage; Economics; Labour economics; Mathematics","score_opus":0.3637882285507522,"score_gpt":0.45658573346442305,"score_spread":0.09279750491367084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122064841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6648696,0.0029549357,0.00008754586,0.002889068,0.0007581448,0.00068679743,0.0030302468,0.000030973002,0.32469267],"genre_scores_gemma":[0.996921,0.0007859422,0.0004797427,0.00006240775,0.0003652584,0.000075399614,0.00044441078,0.000037834317,0.00082800176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99686915,0.00018098085,0.0013478359,0.0009211518,0.0002481146,0.00043276203],"domain_scores_gemma":[0.9970507,0.000638511,0.00065160415,0.00054608274,0.00090128515,0.00021180962],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0139280725,0.0002586867,0.0008371154,0.00076691527,0.0001022984,0.00017099365,0.0006888891,0.000494766,0.00031792704],"category_scores_gemma":[0.0020921363,0.00030789175,0.0001593274,0.0001726578,0.0003279845,0.00019859217,0.0013022767,0.0010118681,0.0001713178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004501125,0.00008494454,0.029366223,0.00020070725,0.0001118876,0.0000017383139,0.00015201297,0.00016124539,0.0000031249383,0.9666625,0.0030667286,0.00014387461],"study_design_scores_gemma":[0.00048464592,0.000048671853,0.010282976,0.000035259924,0.000003235377,0.0000014932991,0.000026558282,0.0057143583,0.000012049139,0.9815795,0.001524439,0.00028681362],"about_ca_topic_score_codex":0.004694852,"about_ca_topic_score_gemma":0.0001714816,"teacher_disagreement_score":0.33205137,"about_ca_system_score_codex":0.00102156,"about_ca_system_score_gemma":0.00056497613,"threshold_uncertainty_score":0.9999373},"labels":[],"label_agreement":null},{"id":"W3122094053","doi":"10.1108/ijm-02-2014-0050?utm_campaign=repec&amp;wt.mc_id=repec","title":"What Factors Influence Firm Perceptions of Labour Market Constraints to Growth in the MENA Region","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economic shortage; Estimation; Economics; Labour economics; Multivariate probit model; Probit model; Probit; Business; Econometrics","score_opus":0.04944284856850439,"score_gpt":0.2976734550739524,"score_spread":0.24823060650544798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122094053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622502,0.00007352253,0.000010706003,0.0012878943,0.00021470679,0.00046443447,0.00014540018,0.000009360751,0.035543792],"genre_scores_gemma":[0.99597293,0.0027533711,0.00012219892,0.00028688656,0.00003772656,0.00006400698,0.000011376181,0.00002289601,0.0007285765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976429,0.00023657532,0.00090188876,0.00053669594,0.00010922184,0.00057275186],"domain_scores_gemma":[0.99823546,0.0005728811,0.00021146577,0.00064145995,0.0001454846,0.00019323797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005041633,0.0001809818,0.00044789014,0.0005660468,0.00008086894,0.00017853203,0.0007252161,0.00015370033,0.00013287722],"category_scores_gemma":[0.0017703675,0.00017265616,0.00009262401,0.00056376995,0.00032561744,0.0005362602,0.00019061951,0.00047185682,0.000020225483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086466745,0.00021520021,0.88129485,0.000052270192,0.00002478547,0.000016709686,0.005021234,0.00063653674,0.000010626107,0.106982455,0.00009027792,0.005568578],"study_design_scores_gemma":[0.0008833891,0.00017090487,0.9076261,0.000091431204,0.0000015985061,0.000007793141,0.013543229,0.0010814164,0.00001055611,0.069339074,0.0068866084,0.00035793113],"about_ca_topic_score_codex":0.0007620976,"about_ca_topic_score_gemma":0.0007615293,"teacher_disagreement_score":0.037643384,"about_ca_system_score_codex":0.000558375,"about_ca_system_score_gemma":0.00014112619,"threshold_uncertainty_score":0.70407134},"labels":[],"label_agreement":null},{"id":"W3122097650","doi":"10.2139/ssrn.2085210","title":"Employer Learning and the 'Importance' of Skills","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wage; Productivity; Vocational education; Aptitude; Psychology; Educational attainment; Demographic economics; Labour economics; Economics; Developmental psychology; Pedagogy","score_opus":0.008526158368922857,"score_gpt":0.2221961165610985,"score_spread":0.21366995819217566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122097650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97366315,0.01793443,0.002778281,0.0006310975,0.0001749449,0.00006664827,0.00000507456,0.0000068557274,0.0047395383],"genre_scores_gemma":[0.9896129,0.008970125,0.0000538994,0.00009379764,0.00016946069,0.0000024242072,0.0000011830083,0.000013759395,0.0010824656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99835014,0.000053943222,0.00045480594,0.00010162519,0.000039423136,0.0010000693],"domain_scores_gemma":[0.99926615,0.00009949503,0.0004435336,0.00011089542,0.000027903614,0.000052028397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062076845,0.00008760581,0.0002617738,0.00006071568,0.0001393838,0.000031632844,0.0001285782,0.00004813121,0.00006769364],"category_scores_gemma":[0.000251054,0.000064996515,0.00009333085,0.00011150792,0.000092240785,0.00017566403,0.000040142975,0.0008602023,0.000011701162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013040191,0.000018830942,0.43077016,0.0000021376954,0.000047337595,8.0866975e-8,0.0001513945,0.0000020761433,9.876322e-7,0.56830883,0.000002845378,0.000682287],"study_design_scores_gemma":[0.0009938596,0.000048171532,0.048033096,0.0000047676363,0.0000108940885,0.000055188346,0.00033171757,0.00009530523,0.0000030718493,0.9449778,0.005331971,0.00011414104],"about_ca_topic_score_codex":0.000051780586,"about_ca_topic_score_gemma":0.00007244008,"teacher_disagreement_score":0.38273707,"about_ca_system_score_codex":0.00014263541,"about_ca_system_score_gemma":0.00008147427,"threshold_uncertainty_score":0.37371987},"labels":[],"label_agreement":null},{"id":"W3122133746","doi":"10.5167/uzh-145755","title":"Disappearing routine jobs: Who, how, and why?","year":2017,"lang":"en","type":"preprint","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Labour economics; Wage; Economics; Work (physics); Demographic economics; Engineering","score_opus":0.029269782045662433,"score_gpt":0.21086853948486453,"score_spread":0.1815987574392021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122133746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90292,0.002078812,0.013365048,0.0017951541,0.00054064975,0.00071346544,0.0010273869,0.000038160128,0.07752129],"genre_scores_gemma":[0.9872028,0.0019007407,0.0041706357,0.000054170334,0.0001021401,0.000001732794,0.000069166534,0.000029765824,0.0064688213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980869,0.00019944011,0.00035067444,0.0009815984,0.00007494607,0.0003063909],"domain_scores_gemma":[0.99741215,0.0002072729,0.0011733576,0.00093578646,0.00006423104,0.00020718318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014534647,0.0003229295,0.0009780192,0.00020019643,0.0008817831,0.000642375,0.0012716823,0.00023205687,0.000027424763],"category_scores_gemma":[0.000103503444,0.00041468572,0.00015823786,0.00006943833,0.00041576996,0.0005536024,0.0051429244,0.0005404861,0.0000043679697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003865882,0.0003642323,0.6534154,0.001451196,0.00097400486,0.00034376985,0.0071008867,0.000064942295,0.00018308991,0.32758665,0.0051839254,0.0029453076],"study_design_scores_gemma":[0.0017969935,0.00018652118,0.7037165,0.0006158822,0.00014185844,0.000035586454,0.0009895767,0.0059720455,0.00001954034,0.24582383,0.039447587,0.0012540532],"about_ca_topic_score_codex":0.0062070475,"about_ca_topic_score_gemma":0.00032857398,"teacher_disagreement_score":0.08428279,"about_ca_system_score_codex":0.00005419889,"about_ca_system_score_gemma":0.00005365798,"threshold_uncertainty_score":0.9998305},"labels":[],"label_agreement":null},{"id":"W3122143160","doi":"10.1111/j.1465-7295.2009.00221.x","title":"A COMPARATIVE ANALYSIS OF THE NATIVITY WEALTH GAP<sup>*</sup>","year":2010,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Immigration; Economics; Demographic economics; Educational attainment; Position (finance); Labour economics; Geography; Economic growth","score_opus":0.055725331496953766,"score_gpt":0.28963879144103727,"score_spread":0.2339134599440835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122143160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97257996,0.00006764509,0.00033529376,0.00045531525,0.0016357102,0.00020043756,0.0007917038,0.000019224955,0.023914738],"genre_scores_gemma":[0.9987375,0.000022695294,0.00020191082,0.00026251527,0.00029619582,0.000016989943,0.00002792125,0.000012813271,0.00042142518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982159,0.000063077634,0.0009072108,0.00048495652,0.000035445137,0.00029338174],"domain_scores_gemma":[0.99799484,0.00020366571,0.0007845399,0.00089532015,0.000038979888,0.00008266108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001624052,0.00018799324,0.000867896,0.0003162586,0.0001412252,0.00005307423,0.0005392093,0.00014059982,0.0010793505],"category_scores_gemma":[0.00010389193,0.00017306549,0.00040649512,0.00047816,0.0003106442,0.0002031061,0.00016884398,0.0003625572,0.00016694824],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001976395,0.0001048038,0.2698139,0.000015275371,0.00077685504,4.205077e-7,0.0034412881,0.0048786104,0.000023118224,0.7201812,0.00058947067,0.00015530249],"study_design_scores_gemma":[0.0007580023,0.000047414353,0.62022865,0.000007881659,0.00016375036,0.0000017989038,0.0005388214,0.25723433,0.0001365543,0.0995756,0.020739682,0.0005675373],"about_ca_topic_score_codex":0.00087006215,"about_ca_topic_score_gemma":0.0010615045,"teacher_disagreement_score":0.6206056,"about_ca_system_score_codex":0.00014479626,"about_ca_system_score_gemma":0.000079447826,"threshold_uncertainty_score":0.9998338},"labels":[],"label_agreement":null},{"id":"W3122167153","doi":"","title":"The Contributions of Search and Human Capital to Earnings Growth Over the Life Cycle","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; Western University","funders":"","keywords":"Human capital; Earnings; Economics; Labour economics; Investment (military); Earnings growth; Renting; Unemployment; Physical capital; Finance; Macroeconomics; Market economy","score_opus":0.026878597006659625,"score_gpt":0.29977725716737796,"score_spread":0.27289866016071834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122167153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773605,0.0008108366,0.000015389502,0.0021564732,0.00031623145,0.00084704184,0.00090203964,0.0000137596935,0.017577717],"genre_scores_gemma":[0.99418575,0.004512515,0.00004402463,0.00011167015,0.00022846245,0.00016893556,0.00003921735,0.00004824489,0.0006612124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968323,0.00027908303,0.0011289292,0.0007045315,0.00012722418,0.00092791027],"domain_scores_gemma":[0.9969083,0.0011176991,0.00034587202,0.0011157668,0.00020051636,0.00031185246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009029065,0.00026619117,0.00065013097,0.00032088347,0.00060458283,0.00029886744,0.0010039031,0.0003297917,0.00006709938],"category_scores_gemma":[0.001877965,0.000221588,0.00018799744,0.00021232694,0.0006254697,0.00009336604,0.0020143453,0.0016801864,0.000016241771],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007463596,0.00016844284,0.18346329,0.0001361851,0.0002630913,0.000002591583,0.0019093421,0.0013395917,0.000037013582,0.807341,0.000039966028,0.005224861],"study_design_scores_gemma":[0.00091406784,0.00013133367,0.81464297,0.00009569421,0.000015157484,0.0000031016732,0.0007888551,0.0040808828,0.00004606791,0.16332157,0.015268949,0.0006913548],"about_ca_topic_score_codex":0.0032125285,"about_ca_topic_score_gemma":0.0008687579,"teacher_disagreement_score":0.6440194,"about_ca_system_score_codex":0.00046712736,"about_ca_system_score_gemma":0.00020084914,"threshold_uncertainty_score":0.90360963},"labels":[],"label_agreement":null},{"id":"W3122178283","doi":"","title":"The Employment Elasticity in Manufacturing: A Rejoinder","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Elasticity (physics); Economics; Labour economics; Econometrics","score_opus":0.013378229812206216,"score_gpt":0.21995071183930223,"score_spread":0.20657248202709602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122178283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797422,0.003719867,0.0053164265,0.0057928273,0.00025520506,0.00011338222,0.000008279305,0.000014689584,0.005037123],"genre_scores_gemma":[0.9924835,0.0047415863,0.000052718115,0.00020631829,0.00023928971,0.0000069540997,0.0000011357124,0.00001750336,0.0022509731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974053,0.000039391307,0.00062694354,0.00021481642,0.000060582086,0.00165295],"domain_scores_gemma":[0.99935293,0.00008147561,0.00027098146,0.00021600655,0.000017726958,0.000060895996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00392164,0.00012944496,0.00020419274,0.00010629402,0.00023845883,0.00012139166,0.000320973,0.000065626395,0.00005400938],"category_scores_gemma":[0.00009590114,0.000104576364,0.000103398175,0.000105803956,0.000033813325,0.00016658912,0.00004925399,0.0012976313,0.00009843212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032619635,0.00006704897,0.019109728,0.0000014381463,0.000053896805,0.0000018866236,0.00007754145,0.00026433574,0.0000018309611,0.96903247,0.000030942138,0.011326295],"study_design_scores_gemma":[0.0006131881,0.000065778906,0.033414107,0.0000053682234,0.0000029238436,0.0000428106,0.00013269475,0.0009161705,0.000019762954,0.9238061,0.040808447,0.00017270373],"about_ca_topic_score_codex":0.00017854401,"about_ca_topic_score_gemma":0.005546303,"teacher_disagreement_score":0.04522639,"about_ca_system_score_codex":0.0015045624,"about_ca_system_score_gemma":0.00022519959,"threshold_uncertainty_score":0.56376344},"labels":[],"label_agreement":null},{"id":"W3122195617","doi":"","title":"","year":2002,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Productivity; Unemployment; Economics; Human capital; Wage; Labour economics; Sample (material); Statistical discrimination; Econometrics; Race (biology); Macroeconomics; Sociology; Economic growth","score_opus":0.0464876248679981,"score_gpt":0.20373954240630954,"score_spread":0.15725191753831144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122195617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8419015,0.0008341535,0.014330233,0.005349353,0.00027500812,0.00013990024,0.000080188656,0.00014867824,0.13694099],"genre_scores_gemma":[0.9915278,0.00023114363,0.0019453993,0.0023975528,0.00008066057,0.000023951865,0.000004267919,0.000021788357,0.0037674387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979788,0.000016661203,0.0009209011,0.000565434,0.000033830085,0.00048435517],"domain_scores_gemma":[0.9988528,0.000069672315,0.00025674677,0.00062093674,0.00003249002,0.00016738947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008817423,0.000181994,0.00041989365,0.0001631473,0.00015438737,0.00013881667,0.00035092465,0.00009271106,0.0035136042],"category_scores_gemma":[0.0002156036,0.00019910306,0.00015783585,0.00041776127,0.000054368487,0.00049247686,0.0000870247,0.00013854592,0.00060633477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000290111,0.00012793286,0.23618701,0.000005491354,0.000018870516,0.000005542846,0.00021763914,0.000018223103,0.0000077226,0.76261544,0.00015403665,0.0006391933],"study_design_scores_gemma":[0.0010430395,0.0000731443,0.11022318,0.0000030690758,0.0000018643607,0.0000071181016,0.000055316737,0.04902926,0.000025496103,0.8194273,0.019583806,0.0005274038],"about_ca_topic_score_codex":0.00060744374,"about_ca_topic_score_gemma":0.0000765549,"teacher_disagreement_score":0.1496263,"about_ca_system_score_codex":0.000070206996,"about_ca_system_score_gemma":0.0000011532949,"threshold_uncertainty_score":0.9973973},"labels":[],"label_agreement":null},{"id":"W3122196547","doi":"10.1111/labr.12162","title":"15 Years of Research on US Employment and the Minimum Wage","year":2019,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Quarter (Canadian coin); Wage; Economics; Range (aeronautics); Interval (graph theory); Demographic economics; Statistical analysis; Labour economics; Econometrics; Statistics; Mathematics; Geography; Engineering","score_opus":0.04135446799058782,"score_gpt":0.28791969080337,"score_spread":0.24656522281278218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122196547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804303,0.0004349911,0.0000064000337,0.00095643406,0.00021446674,0.00021385135,0.00014377767,0.000006783394,0.017592985],"genre_scores_gemma":[0.9938216,0.0002314669,0.000038682956,0.0002925835,0.000039226874,0.000008604216,0.0000025431,0.000011398083,0.005553852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917746,0.00006126028,0.0002836879,0.00021845079,0.00006699823,0.00019217312],"domain_scores_gemma":[0.9991365,0.00029412768,0.000109536544,0.0003872634,0.000037925907,0.000034620436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023680811,0.000060521128,0.00022943855,0.000097284545,0.000037435464,0.000039746243,0.00018446967,0.00005215511,0.00026222802],"category_scores_gemma":[0.00013039971,0.00005058454,0.00004515882,0.00020614482,0.00010365161,0.000039847586,0.00009847698,0.00016037156,0.00022477732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007734218,0.00003698964,0.07471337,0.000019660876,0.000019732874,0.0000015865702,0.00023532557,0.000009244632,0.000012162261,0.92433244,0.00009238118,0.00044974132],"study_design_scores_gemma":[0.0021225382,0.00015738791,0.67714566,0.00002866861,0.0000022499896,7.620479e-7,0.00013559563,0.00069683563,0.00004642826,0.26644912,0.0530633,0.00015142836],"about_ca_topic_score_codex":0.00082272233,"about_ca_topic_score_gemma":0.000038045222,"teacher_disagreement_score":0.65788335,"about_ca_system_score_codex":0.00002788135,"about_ca_system_score_gemma":0.000010667049,"threshold_uncertainty_score":0.28891325},"labels":[],"label_agreement":null},{"id":"W3122213692","doi":"10.1111/ecot.12149","title":"Public–private wage differential in a post‐transition economy","year":2018,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki","keywords":"Economics; Counterfactual thinking; Wage; Earnings; Public sector; Private sector; Quarter (Canadian coin); Labour economics; Differential (mechanical device); Demographic economics; Economy; Economic growth","score_opus":0.02529922023413005,"score_gpt":0.20310527511208504,"score_spread":0.17780605487795498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122213692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599197,0.000055170407,0.020846352,0.0028118351,0.00039716213,0.00024581508,0.00059503614,0.000030294404,0.015098655],"genre_scores_gemma":[0.9983402,0.00012364535,0.00051923614,0.0005019319,0.0002174602,0.00002021531,0.000224225,0.000031811112,0.000021294472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980186,0.000035973193,0.0010877426,0.0004890248,0.000019071882,0.00034955662],"domain_scores_gemma":[0.9990479,0.00003839286,0.0003691398,0.00037548988,0.000077864934,0.000091232825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006880891,0.00020461557,0.00051820313,0.00043691957,0.000073100695,0.00008714849,0.00024179103,0.0001794647,0.0008701156],"category_scores_gemma":[0.00002577219,0.00027050354,0.00019129936,0.00016748384,0.00014503014,0.00073076936,0.000026799205,0.00015216632,0.0001357583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018846469,0.0003266978,0.0025655057,0.00006407158,0.00009317708,0.0000024401957,0.0013448073,0.0001636392,0.0004163455,0.99287665,0.00001786607,0.0019403656],"study_design_scores_gemma":[0.004306547,0.0004921239,0.07223639,0.000054298594,0.000023654808,0.000007321401,0.00017117307,0.05364624,0.0018319306,0.8620854,0.00410429,0.0010406363],"about_ca_topic_score_codex":0.00032382173,"about_ca_topic_score_gemma":0.00041802286,"teacher_disagreement_score":0.13079122,"about_ca_system_score_codex":0.0001718544,"about_ca_system_score_gemma":0.000033920147,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W3122278238","doi":"10.1177/0019793916687719","title":"The Role of Education in Technology Use and Adoption: Evidence from the Canadian Workplace and Employee Survey","year":2017,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Attendance; Technological change; Work (physics); Process (computing); Cash; Business; Survey data collection; Psychology; Public relations; Marketing; Computer science; Economics; Engineering; Political science; Economic growth","score_opus":0.09087564475716002,"score_gpt":0.28615099339491135,"score_spread":0.1952753486377513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122278238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7939989,0.19533733,0.000001859123,0.009627362,0.000115087234,0.00030464097,0.00025798296,0.0000025746826,0.00035429702],"genre_scores_gemma":[0.9077577,0.09181808,0.000035800585,0.00008411387,0.000035710033,0.000019515655,0.000010954618,0.00000421305,0.00023393301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925375,0.00008870219,0.00036801738,0.0001701568,0.000021905107,0.00009749658],"domain_scores_gemma":[0.9986538,0.0005606517,0.0002997622,0.0003702747,0.000068981135,0.000046490906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015262483,0.00006979581,0.00020194813,0.000050699247,0.000454851,0.0002053066,0.00015956284,0.00012728888,0.000022379014],"category_scores_gemma":[0.003992765,0.000050164526,0.000013777309,0.00019186929,0.00017070376,0.00025636904,0.00005768323,0.00021231701,0.0000032185508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004176169,0.0000038242038,0.9017661,0.00000765929,0.0000066226326,1.0151851e-7,0.000024142413,3.7368602e-7,1.161476e-7,0.06906649,0.00013011161,0.028990252],"study_design_scores_gemma":[0.00010957708,0.000007980298,0.9259177,0.0005528518,0.000009504246,6.6561176e-7,0.000022934397,0.000037187117,2.0116609e-7,0.025361313,0.047919095,0.000061003215],"about_ca_topic_score_codex":0.229902,"about_ca_topic_score_gemma":0.3723678,"teacher_disagreement_score":0.1424658,"about_ca_system_score_codex":0.000040641582,"about_ca_system_score_gemma":0.00019110495,"threshold_uncertainty_score":0.7752262},"labels":[],"label_agreement":null},{"id":"W3122288926","doi":"","title":"The Persistent Gap: New Evidence on the Canadian Gender Wage Gap","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Proxy (statistics); Productivity; Context (archaeology); Economics; Demographic economics; Hourly wage; Gender gap; Labour economics; Geography; Economic growth","score_opus":0.1858848565492329,"score_gpt":0.32257086263346113,"score_spread":0.13668600608422823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122288926","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34785423,0.0038343377,0.000008323509,0.025410317,0.0019396923,0.0018888375,0.00048427677,0.000040483257,0.6185395],"genre_scores_gemma":[0.94321495,0.04244759,0.000061479936,0.00097589253,0.00049033674,0.00021605502,0.000035437617,0.000093122224,0.012465142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950203,0.00037848295,0.0013268216,0.0014496354,0.00020394509,0.0016208617],"domain_scores_gemma":[0.9938734,0.0020928169,0.00051451055,0.0027899644,0.00014719383,0.0005821095],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01017958,0.000489244,0.0007081398,0.0005611548,0.0011359176,0.0012350599,0.002488243,0.00060795824,0.0005594349],"category_scores_gemma":[0.0030106995,0.0003977086,0.00050996075,0.00032089092,0.0004541773,0.00014294518,0.0009964537,0.0030585674,0.00021725852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020644655,0.00015395394,0.050496385,0.00012365976,0.00059330673,0.000106334075,0.0014862652,0.010164306,0.0000020038754,0.869215,0.002335028,0.06511732],"study_design_scores_gemma":[0.00079907937,0.00020188617,0.05252251,0.0004536132,0.000021949058,0.000017524111,0.0012444268,0.024805011,0.0000056019435,0.5323799,0.38585532,0.001693166],"about_ca_topic_score_codex":0.09041328,"about_ca_topic_score_gemma":0.2957745,"teacher_disagreement_score":0.60607433,"about_ca_system_score_codex":0.004611736,"about_ca_system_score_gemma":0.0017394641,"threshold_uncertainty_score":0.9998475},"labels":[],"label_agreement":null},{"id":"W3122291101","doi":"","title":"Sample attrition in the Canadian Survey of Labor and Income Dynamics","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microdata (statistics); Attrition; Economics; Sample (material); Demographic economics; Wage; Panel Study of Income Dynamics; Labour economics; Current Population Survey; Panel data; Survey of Income and Program Participation; Panel survey; Population; Econometrics; Census; Demography; Sociology","score_opus":0.061536396856265385,"score_gpt":0.2971549945046827,"score_spread":0.2356185976484173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122291101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757165,0.0003886315,0.000007905823,0.0012528038,0.00025514394,0.00084407046,0.007191192,0.0000063848083,0.014337419],"genre_scores_gemma":[0.9919875,0.0066018235,0.0002780034,0.0001275562,0.000043499855,0.00015856307,0.0006490958,0.00004257862,0.0001113408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965943,0.00046218475,0.0013150446,0.00080781314,0.00009162573,0.00072903093],"domain_scores_gemma":[0.9966293,0.0015304538,0.00042947562,0.001058015,0.00017260549,0.00018014193],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008855155,0.00027217227,0.00081845163,0.0010865052,0.00013830868,0.00027053556,0.0008753814,0.0005626326,0.000086909604],"category_scores_gemma":[0.002250095,0.00029034333,0.00009016194,0.00042294743,0.0003250316,0.00013091546,0.00051069155,0.0014847055,0.00000759796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002131579,0.00007683261,0.843084,0.00017143719,0.000032519147,0.0000072017574,0.00030258074,0.00041789288,2.0902753e-7,0.14913945,0.0000058004416,0.0067407577],"study_design_scores_gemma":[0.000339362,0.00003418879,0.81208926,0.000066793,0.0000014165213,0.0000017591906,0.00012614232,0.034452066,3.280622e-7,0.15189166,0.0007243183,0.00027271197],"about_ca_topic_score_codex":0.7332613,"about_ca_topic_score_gemma":0.9205733,"teacher_disagreement_score":0.18731202,"about_ca_system_score_codex":0.0017567364,"about_ca_system_score_gemma":0.00052027265,"threshold_uncertainty_score":0.9999549},"labels":[],"label_agreement":null},{"id":"W3122328332","doi":"10.1111/iere.12375","title":"NETWORK SEARCH: CLIMBING THE JOB LADDER FASTER","year":2018,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Position (finance); Wage; Climb; Climbing; Labour economics; Quality (philosophy); Economics; Network structure; Hill climbing; Computer science; Microeconomics; Engineering; Distributed computing; Artificial intelligence","score_opus":0.08806640717710802,"score_gpt":0.30290706536506856,"score_spread":0.21484065818796055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122328332","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06330459,0.21028692,0.0044194125,0.072236925,0.036559604,0.0031351815,0.004037491,0.00016861438,0.6058513],"genre_scores_gemma":[0.57615095,0.35728195,0.001601497,0.035979774,0.013469954,0.000606771,0.000974792,0.00024806918,0.013686234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968526,0.000104886705,0.0017004358,0.00086046197,0.000075021235,0.00040663933],"domain_scores_gemma":[0.9974902,0.00017827388,0.001048814,0.0010904582,0.000103749655,0.00008848043],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038418858,0.00035744847,0.0008862766,0.000094009796,0.0001368116,0.0003725993,0.0017082464,0.00021115091,0.0060874],"category_scores_gemma":[0.00015345405,0.00031739144,0.00049711857,0.000065532,0.00013354943,0.00016594872,0.0014310912,0.00067586184,0.0040593464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021629401,0.00005034207,0.028713066,0.001186197,0.00092104165,0.00000791845,0.00013553382,0.0018961874,1.0450116e-7,0.86514384,0.095846705,0.006077425],"study_design_scores_gemma":[0.0001874494,0.000014607967,0.0053863563,0.0015706558,0.000030118174,0.000008820337,0.000005029573,0.007187386,2.7201438e-7,0.29159427,0.69352806,0.0004870026],"about_ca_topic_score_codex":0.00039391353,"about_ca_topic_score_gemma":0.00009134939,"teacher_disagreement_score":0.59768134,"about_ca_system_score_codex":0.00049084844,"about_ca_system_score_gemma":0.00010457534,"threshold_uncertainty_score":0.9999278},"labels":[],"label_agreement":null},{"id":"W3122352563","doi":"","title":"The Transition to Work for Canadian University Graduates: Time to First Job, 1982-1990","year":2000,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Graduation (instrument); Work (physics); Demographic economics; Demography; Proportional hazards model; Psychology; Statistics; Sociology; Mathematics; Economics; Engineering","score_opus":0.06314353938907157,"score_gpt":0.2896355130548581,"score_spread":0.2264919736657865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122352563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48884934,0.0026227327,0.00039413228,0.43651676,0.00025423078,0.0023391196,0.0020483988,0.00008466472,0.06689061],"genre_scores_gemma":[0.95169216,0.0020449394,0.00024672976,0.0016903621,0.00019038912,0.00007727728,0.000022314496,0.000030296427,0.044005543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810433,0.00006965387,0.00035913519,0.00048773404,0.00011628887,0.00086283986],"domain_scores_gemma":[0.9982727,0.0006475911,0.000025535,0.00038461832,0.00023398273,0.00043553262],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002023367,0.00015832683,0.0003861294,0.0001812468,0.0017105978,0.00017173695,0.00041015775,0.0000742907,0.0007473166],"category_scores_gemma":[0.00075306126,0.00014195063,0.0001363868,0.0011987989,0.00027368616,0.00021685519,0.000077045464,0.00020032407,0.0013703585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017730052,0.00014618726,0.0072272145,0.00015426507,0.0011346731,0.000044063563,0.0057959226,0.00064180145,0.0000043016576,0.8324315,0.1324994,0.018147668],"study_design_scores_gemma":[0.0002364637,0.00019735236,0.021356497,0.000028089717,0.000007474437,4.572547e-7,0.00036280073,0.00021827474,0.0000011309105,0.049188394,0.92817855,0.0002245069],"about_ca_topic_score_codex":0.019607289,"about_ca_topic_score_gemma":0.1776835,"teacher_disagreement_score":0.79567915,"about_ca_system_score_codex":0.0004284171,"about_ca_system_score_gemma":0.000062547486,"threshold_uncertainty_score":0.999589},"labels":[],"label_agreement":null},{"id":"W3122353923","doi":"10.1111/j.1468-2354.2005.00368.x","title":"UNEMPLOYMENT INSURANCE AND EXPERIENCE RATING: INSURANCE VERSUS EFFICIENCY*","year":2005,"lang":"en","type":"article","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Severance; Unemployment; Layoff; Payment; Welfare; Labour economics; Economics; Government (linguistics); Business; Actuarial science; Finance","score_opus":0.04058838337208934,"score_gpt":0.29222140768830634,"score_spread":0.25163302431621704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122353923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050319,0.049609702,0.00038695158,0.004847308,0.001672195,0.00031508377,0.00034214542,0.00003932145,0.037755366],"genre_scores_gemma":[0.9457873,0.051753618,0.00045617137,0.0013011885,0.0001935866,0.00006669808,0.000016029406,0.000014957376,0.00041045484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998364,0.000018921644,0.0008957458,0.00047773143,0.000045511228,0.00019812121],"domain_scores_gemma":[0.9990601,0.00009495581,0.00044022067,0.00029398277,0.000032849468,0.00007789731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006532988,0.00016887728,0.0003916387,0.000067965004,0.0000656892,0.000079632286,0.000384934,0.000043556724,0.0005735003],"category_scores_gemma":[0.00015307065,0.00018617346,0.00009612399,0.00006740197,0.00007315716,0.00038613984,0.00010089173,0.0001064704,0.00038485418],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006614239,0.00014164974,0.20559496,0.00027763902,0.00012109951,0.000004292713,0.00034417212,0.0005821605,0.000009021073,0.728497,0.00086611416,0.06349571],"study_design_scores_gemma":[0.0018270494,0.000069672795,0.05662071,0.0005600318,0.0000063343246,0.000016683714,0.000019516527,0.019865789,0.000031187756,0.008223907,0.9120508,0.00070832775],"about_ca_topic_score_codex":0.0001151647,"about_ca_topic_score_gemma":0.000044720095,"teacher_disagreement_score":0.91118467,"about_ca_system_score_codex":0.00026028918,"about_ca_system_score_gemma":0.00002209244,"threshold_uncertainty_score":0.75919336},"labels":[],"label_agreement":null},{"id":"W3122372958","doi":"","title":"Releasing Jobs for the Young? Early Retirement and Youth Unemployment in the United Kingdom","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Labour economics; Population; Fallacy; Quarter (Canadian coin); Demographic economics; Economic growth; Sociology","score_opus":0.09961341857447813,"score_gpt":0.32004328380337876,"score_spread":0.22042986522890062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122372958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861392,0.00034113263,0.00005248852,0.0024839386,0.00079777476,0.0020369503,0.0007145258,0.000018078208,0.0074159238],"genre_scores_gemma":[0.99222374,0.0060965926,0.00029946555,0.00027027415,0.00023581933,0.00046268356,0.00013513313,0.00007287583,0.0002033978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99635327,0.00024626977,0.0013137262,0.0010857136,0.00013233989,0.0008686701],"domain_scores_gemma":[0.9965118,0.0012385143,0.0005166478,0.0015270078,0.00010004431,0.00010599606],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008663815,0.00036789197,0.0006534032,0.0006421359,0.00035670906,0.00063469145,0.0012375977,0.00050827116,0.00002276013],"category_scores_gemma":[0.0010514389,0.000302971,0.00019656865,0.00030923812,0.00037217131,0.00009449384,0.0008858938,0.0024785814,0.0000033585395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004593645,0.0004559662,0.3939563,0.00034920097,0.00029846255,0.000022861415,0.0116991615,0.003885094,0.000011279099,0.5660111,0.000029584664,0.022821646],"study_design_scores_gemma":[0.003818975,0.00037896354,0.5254148,0.00048266017,0.000049590533,0.00001090487,0.0046773534,0.11280741,0.000012118659,0.30337122,0.047165316,0.0018106524],"about_ca_topic_score_codex":0.0078070643,"about_ca_topic_score_gemma":0.0035621168,"teacher_disagreement_score":0.26263985,"about_ca_system_score_codex":0.0006673882,"about_ca_system_score_gemma":0.00013971508,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W3122391104","doi":"","title":"HIRES, SEPARATIONS, AND THE JOB TENURE DISTRIBUTION IN ADMINISTRATIVE EARNINGS RECORDS","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Census; Earnings; Distribution (mathematics); Demographic economics; Labour economics; Business; Economics; Actuarial science; Accounting; Geography; Population; Sociology; Demography; Mathematics","score_opus":0.04010859847695613,"score_gpt":0.3138519653248269,"score_spread":0.27374336684787076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122391104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93515784,0.00062595744,0.00007499836,0.00297871,0.00044804206,0.0010542548,0.0011027885,0.000023151628,0.05853428],"genre_scores_gemma":[0.9846446,0.01235697,0.00013961253,0.00010606291,0.00017623162,0.0003716063,0.00038295262,0.000040833205,0.001781159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962455,0.00051342254,0.0013942379,0.0011053896,0.00008847039,0.00065299805],"domain_scores_gemma":[0.9971627,0.0010697899,0.0006118678,0.00093018415,0.00009167552,0.00013378293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008861987,0.00033602575,0.0009406564,0.00034415236,0.00022394655,0.0003582941,0.0005227109,0.0005404312,0.00006600111],"category_scores_gemma":[0.002174477,0.0003275145,0.00016630949,0.0002282153,0.0006120532,0.00014124681,0.0007519054,0.0021700684,0.000016218322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006306162,0.00019880697,0.35498583,0.00027299285,0.00015411203,0.000028378368,0.0014950943,0.0029192492,0.0000013330391,0.6149103,0.00018978663,0.024213467],"study_design_scores_gemma":[0.0034028396,0.00014637208,0.40036124,0.00026052946,0.000010279957,0.000011750709,0.0005441166,0.08626447,0.000003518297,0.42112684,0.08689947,0.0009685772],"about_ca_topic_score_codex":0.0014246439,"about_ca_topic_score_gemma":0.0028862783,"teacher_disagreement_score":0.19378349,"about_ca_system_score_codex":0.00090523827,"about_ca_system_score_gemma":0.00025310388,"threshold_uncertainty_score":0.9999177},"labels":[],"label_agreement":null},{"id":"W3122408043","doi":"10.1002/jae.618","title":"Unemployment insurance and subsequent job duration: job matching versus unobserved heterogeneity","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Duration (music); Unemployment; Matching (statistics); Economics; Econometrics; Spell; Labour economics; Demographic economics; Statistics; Mathematics","score_opus":0.06512051357897279,"score_gpt":0.25032753371511274,"score_spread":0.18520702013613993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122408043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984746,0.001786451,0.0027067417,0.00044811162,0.0010330727,0.00016849773,0.00008608291,0.000016875305,0.009008186],"genre_scores_gemma":[0.99425167,0.0034541083,0.0017159961,0.00022202294,0.00025421206,0.000007569438,0.0000061769256,0.00003143681,0.000056827725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974024,0.000020104246,0.0017470439,0.00037395692,0.0001026345,0.0003538084],"domain_scores_gemma":[0.9976203,0.00020911213,0.001504998,0.00032866563,0.00010419974,0.00023272268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021091746,0.00024502486,0.00070934073,0.000714809,0.00014888577,0.0002163189,0.0003365404,0.0001415043,0.000101532314],"category_scores_gemma":[0.00014286468,0.00026579344,0.00017987912,0.0009130601,0.000058068665,0.0004306758,0.00010352721,0.00032120247,0.00003045345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065512717,0.00018720354,0.6942158,0.00006885176,0.00033535663,0.000042622425,0.0002995517,0.0019152045,0.000057312544,0.2977016,0.00006947576,0.0044519366],"study_design_scores_gemma":[0.005710025,0.00040073646,0.84014404,0.000027177715,0.00003828237,0.000075117656,0.00020239066,0.0011628108,0.00013452291,0.13329421,0.01798415,0.0008265482],"about_ca_topic_score_codex":0.000070677655,"about_ca_topic_score_gemma":0.0000752091,"teacher_disagreement_score":0.16440739,"about_ca_system_score_codex":0.00037824857,"about_ca_system_score_gemma":0.00003904033,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W3122440903","doi":"10.1016/j.labeco.2011.01.003","title":"The impact of education on unemployment incidence and re-employment success: Evidence from the U.S. labour market","year":2011,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":212,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Endogeneity; Unemployment; Instrumental variable; Economics; Labour economics; Demographic economics; Youth unemployment; Economic growth","score_opus":0.04124471672801657,"score_gpt":0.26845796880212736,"score_spread":0.22721325207411078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122440903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99135226,0.002445365,0.00005749919,0.0012240815,0.00056436716,0.00035101647,0.0006985412,0.000016571248,0.0032903138],"genre_scores_gemma":[0.9900719,0.008213651,0.00023517628,0.00047636215,0.00012790968,0.00005199559,0.000008270399,0.000029129278,0.00078564015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998209,0.00009082882,0.0008612287,0.00047935758,0.000042275416,0.0003173379],"domain_scores_gemma":[0.99731714,0.0007497706,0.0008156761,0.0009291571,0.00008077551,0.00010747633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018164419,0.00023930613,0.00038080045,0.00006273775,0.00023651692,0.00017454864,0.0006922835,0.000098901015,0.0005254932],"category_scores_gemma":[0.00038186504,0.00016898132,0.0001476983,0.00015739218,0.00016311744,0.00032926784,0.00019655265,0.00019676874,0.000039151626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012769786,0.00009864858,0.5262888,0.000009088177,0.00009611741,3.9504772e-7,0.00069198274,0.000052210635,0.0000034075024,0.46988082,0.00017363441,0.0025771924],"study_design_scores_gemma":[0.00016792689,0.00011359155,0.6505289,0.000048054237,0.0000067603055,7.144077e-7,0.00012854938,0.00033625617,0.00005002792,0.34653172,0.001915813,0.00017165835],"about_ca_topic_score_codex":0.026243309,"about_ca_topic_score_gemma":0.0018801987,"teacher_disagreement_score":0.12424009,"about_ca_system_score_codex":0.00030338962,"about_ca_system_score_gemma":0.00015653367,"threshold_uncertainty_score":0.980241},"labels":[],"label_agreement":null},{"id":"W3122478978","doi":"10.3386/w19446","title":"Does Federally-Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University; Charles Stewart Mott Foundation; National Science Foundation","keywords":"Training (meteorology); Work (physics); Longitudinal data; Job training; Training set; On-the-job training; Business; Demographic economics; Labour economics; Actuarial science; Medical education; Computer science; Vocational education; Economics; Engineering; Economic growth; Data mining; Medicine; Geography; Artificial intelligence","score_opus":0.595667848230201,"score_gpt":0.5013566370209052,"score_spread":0.09431121120929586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122478978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88952106,0.0020432102,0.00007115493,0.0005676627,0.0009815304,0.0008771861,0.0024090717,0.000021984544,0.10350713],"genre_scores_gemma":[0.99484766,0.000766595,0.0023355314,0.00001662443,0.0004432974,0.000030110446,0.0008559023,0.000077801444,0.0006264638],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99580276,0.00008255102,0.0017877909,0.0011529033,0.0005029471,0.0006710241],"domain_scores_gemma":[0.9959518,0.001304981,0.0012987665,0.0007506087,0.0004848735,0.00020897776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008319725,0.00039853004,0.0013178849,0.0009997245,0.0002368053,0.0002988902,0.0008889746,0.00044858435,0.0005883859],"category_scores_gemma":[0.0017295127,0.00035844796,0.00017465769,0.00026869852,0.00046892386,0.0005476617,0.0005197592,0.00075244246,0.000020494099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077143346,0.00056611246,0.5361484,0.0014713005,0.0032814222,0.000029152534,0.0029595133,0.0023688127,0.00022141222,0.43779922,0.0070940442,0.0072891153],"study_design_scores_gemma":[0.003127891,0.0005439655,0.12939382,0.0023333295,0.00006944851,0.000050155533,0.0020154489,0.050496113,0.00012898925,0.80717,0.0026887849,0.0019820917],"about_ca_topic_score_codex":0.0080386,"about_ca_topic_score_gemma":0.00032517954,"teacher_disagreement_score":0.40675464,"about_ca_system_score_codex":0.0013637427,"about_ca_system_score_gemma":0.0014427028,"threshold_uncertainty_score":0.99988675},"labels":[],"label_agreement":null},{"id":"W3122517818","doi":"10.1257/app.20200025","title":"LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Seekers; Work (physics); Training (meteorology); Business; Political science; Engineering","score_opus":0.09823516064813832,"score_gpt":0.2647955539959394,"score_spread":0.1665603933478011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122517818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97486514,0.00048234337,0.0010173903,0.0024452242,0.0021175866,0.00035655548,0.001382514,0.00007146944,0.017261807],"genre_scores_gemma":[0.9911576,0.00093625346,0.0023025086,0.0036618365,0.0010407125,0.00021733924,0.000050070754,0.00013542,0.00049829425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958122,0.00007577959,0.0020734672,0.0010728213,0.0000663608,0.00089938386],"domain_scores_gemma":[0.9963703,0.00036122612,0.0018173539,0.00077634817,0.000024717252,0.0006500116],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022747866,0.0005038254,0.00133789,0.000526596,0.0008169429,0.0004633422,0.0013740327,0.00007852728,0.0036311913],"category_scores_gemma":[0.00005610595,0.00068043167,0.00034048592,0.00020620484,0.00024321319,0.00057546695,0.00064704183,0.0008199674,0.0004845123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012140146,0.0003625927,0.05786884,0.000019894986,0.0012529764,0.00008354483,0.021232737,0.0694894,0.00039318172,0.7825988,0.004542668,0.06094134],"study_design_scores_gemma":[0.0064857374,0.0022185568,0.055950943,0.00010009632,0.00014379184,0.00063629536,0.10533341,0.024847759,0.00033720623,0.41695836,0.3790097,0.007978138],"about_ca_topic_score_codex":0.0019417398,"about_ca_topic_score_gemma":0.00012114515,"teacher_disagreement_score":0.37446705,"about_ca_system_score_codex":0.0026018594,"about_ca_system_score_gemma":0.00032589154,"threshold_uncertainty_score":0.9995647},"labels":[],"label_agreement":null},{"id":"W3122530344","doi":"","title":"Employment-At-Will Exceptions and Jobless Recovery","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Quarter (Canadian coin); Percentage point; Recession; Econometrics; Unemployment rate; Great recession; Labour economics; Demographic economics; Macroeconomics; Finance; Geography","score_opus":0.04539671277870826,"score_gpt":0.28955100354024854,"score_spread":0.24415429076154027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122530344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8809502,0.0008444782,0.000024268678,0.0008617062,0.00083006325,0.0008519343,0.0011774212,0.000046617934,0.11441329],"genre_scores_gemma":[0.93641925,0.046254642,0.00067153975,0.00020927501,0.00029527405,0.0005562775,0.00024216127,0.00013080072,0.015220809],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99549985,0.00017489816,0.0015219973,0.0016538437,0.0001006964,0.0010487139],"domain_scores_gemma":[0.997005,0.00048611767,0.0005731743,0.0014952628,0.00010863004,0.00033183317],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031761513,0.00046507112,0.0010702466,0.00087457825,0.00028846253,0.00045732412,0.0007591779,0.0007338643,0.0011428475],"category_scores_gemma":[0.00050020823,0.000580744,0.00025517313,0.00018087937,0.00036466052,0.0003271935,0.002626416,0.0015288009,0.00015285525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022804928,0.0008800975,0.45748025,0.0009587045,0.000745989,0.000065235996,0.0011684854,0.0063768993,0.00005711295,0.35742322,0.0007182763,0.17389768],"study_design_scores_gemma":[0.0013685432,0.0001644995,0.14737986,0.00025720042,0.000011929335,0.000014141529,0.00022437789,0.013638014,0.000010859705,0.723237,0.112043366,0.0016502645],"about_ca_topic_score_codex":0.0011737813,"about_ca_topic_score_gemma":0.0008961707,"teacher_disagreement_score":0.36581373,"about_ca_system_score_codex":0.0018119529,"about_ca_system_score_gemma":0.0001622184,"threshold_uncertainty_score":0.9997702},"labels":[],"label_agreement":null},{"id":"W3122551249","doi":"10.5465/ambpp.2014.17435abstract","title":"The Facts About Referrals: Toward an Understanding of Employee Referral Networks","year":2014,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Referral; Productivity; Cognition; Demographic economics; Labour economics; Psychology; Yield (engineering); Service worker; Business; Actuarial science; Economics; Medicine; Family medicine; Psychiatry; Econometrics","score_opus":0.10433648357579944,"score_gpt":0.28164552539537363,"score_spread":0.1773090418195742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122551249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.861826,0.0006491814,0.013530848,0.002690537,0.00029960988,0.0005485298,0.000025923888,0.000084278014,0.120345086],"genre_scores_gemma":[0.997055,0.0014193531,0.00048550937,0.0003425654,0.00009444488,0.000017040209,0.0000044235753,0.0000291785,0.00055247924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980935,0.000015916976,0.0009536781,0.00041726237,0.00011806977,0.00040156624],"domain_scores_gemma":[0.99883914,0.00007298952,0.00080524274,0.0001610248,0.000036177218,0.00008542817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002969214,0.00018953056,0.00042494046,0.00016553642,0.00016547242,0.000096301505,0.0006901866,0.00015969669,0.000024693467],"category_scores_gemma":[0.00009639277,0.00016839012,0.00010832017,0.0003247229,0.00014503521,0.00045575458,0.00021807385,0.00025705385,0.000005782189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004169073,0.000028760902,0.024962528,0.00015553483,0.0000931507,9.1012204e-8,0.00021878649,0.000055320696,0.000005411423,0.9717743,0.00060991157,0.0020545064],"study_design_scores_gemma":[0.0007379398,0.00016638121,0.16826132,0.00010303532,0.000037010035,6.289827e-7,0.0008476741,0.009783031,0.000050506307,0.7860318,0.03358865,0.00039202388],"about_ca_topic_score_codex":0.00003731948,"about_ca_topic_score_gemma":0.0000025927905,"teacher_disagreement_score":0.1857425,"about_ca_system_score_codex":0.000102584345,"about_ca_system_score_gemma":0.0000026616606,"threshold_uncertainty_score":0.68667495},"labels":[],"label_agreement":null},{"id":"W3122630668","doi":"","title":"Return to Computer Use and Organizational Practices of the firm","year":2004,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Set (abstract data type); Wage; Compensation (psychology); Compensation of employees; Business; Data set; Survey data collection; Test (biology); Econometrics; Labour economics; Economics; Marketing; Computer science; Statistics; Psychology; Mathematics; Artificial intelligence","score_opus":0.1423367094443402,"score_gpt":0.3096121110304474,"score_spread":0.16727540158610718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122630668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973602,0.00014568008,0.021342106,0.0032266106,0.00014049432,0.000112843736,0.0000620633,0.000009515124,0.0013586618],"genre_scores_gemma":[0.96665967,0.0001349274,0.031176198,0.0014920293,0.000050807095,0.0000029645348,0.0000036915424,0.000012614,0.00046708668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993704,0.000099448414,0.00022280686,0.00016872084,0.000025842393,0.00011280605],"domain_scores_gemma":[0.99901515,0.0003843994,0.0002724896,0.00020920266,0.0000619871,0.000056776433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018173669,0.000065027416,0.00013356078,0.000041951676,0.000053516716,0.000055088134,0.00014914418,0.00020661729,0.000024955787],"category_scores_gemma":[0.0035366763,0.000056792836,0.00003213663,0.00033485942,0.00006819092,0.0001275246,0.000053866974,0.0003103237,0.000006763166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017037957,0.00005934326,0.24978544,0.000035173794,0.00004817071,0.0000015882272,0.0025813158,0.00024748992,0.00019309373,0.74632055,0.00014407313,0.0005667099],"study_design_scores_gemma":[0.0005904181,0.000061193576,0.346963,0.00003753991,0.0000128298225,0.000013142271,0.000098533375,0.0013761411,0.00055339996,0.63756555,0.012467472,0.0002607907],"about_ca_topic_score_codex":0.00017183929,"about_ca_topic_score_gemma":0.000030307512,"teacher_disagreement_score":0.10875501,"about_ca_system_score_codex":0.00031363184,"about_ca_system_score_gemma":0.00006246399,"threshold_uncertainty_score":0.42339873},"labels":[],"label_agreement":null},{"id":"W3122632328","doi":"","title":"The Gender Imbalance in Participation in Canadian Universities (1977-2005)","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Demographic economics; Logit; Logistic regression; Economics; Percentage point; Higher education; University education; Demography; Political science; Econometrics; Sociology; Economic growth; Accounting; Mathematics; Statistics","score_opus":0.012763873511666808,"score_gpt":0.23276770507608782,"score_spread":0.22000383156442102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122632328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98223245,0.0033939425,0.0003020822,0.0040214905,0.00014936361,0.00006840176,0.000010923948,0.0000047784038,0.009816557],"genre_scores_gemma":[0.994984,0.0039407844,0.000009019399,0.00020830172,0.000053030482,0.000001510765,0.000002718484,0.000005821011,0.00079485273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976096,0.00004145269,0.00035827392,0.00013868875,0.00003342222,0.0018185645],"domain_scores_gemma":[0.9995975,0.000031933436,0.00013751844,0.0001271667,0.000017791852,0.00008808308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031609149,0.000082405924,0.00014367144,0.0002140223,0.00015365864,0.00007088307,0.00020758108,0.000058177768,0.000019473808],"category_scores_gemma":[0.000047116377,0.000078819874,0.00004318213,0.00022772847,0.000020394476,0.00018992402,0.00000766395,0.0007171995,0.000016764103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013152675,0.000018150686,0.13936745,6.4541484e-7,0.000009144907,0.00000472476,0.00018515563,0.0002230461,7.9905533e-7,0.8591627,0.000012407259,0.0010026429],"study_design_scores_gemma":[0.00031039503,0.000030896965,0.29940397,0.000003317303,0.0000010595812,0.0000062787517,0.00053292664,0.0019564098,5.198585e-7,0.6935046,0.0041546533,0.00009502602],"about_ca_topic_score_codex":0.05988737,"about_ca_topic_score_gemma":0.8211215,"teacher_disagreement_score":0.76123416,"about_ca_system_score_codex":0.0036989595,"about_ca_system_score_gemma":0.0012112535,"threshold_uncertainty_score":0.967265},"labels":[],"label_agreement":null},{"id":"W3122634209","doi":"10.2139/ssrn.3734746","title":"The Impact of Minimum Wages on Wages, Wage Spillovers, and Employment in China: Evidence from Longitudinal Individual-Level Data","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"","keywords":"Longitudinal data; China; Labour economics; Efficiency wage; Wage; Economics; Wage growth; Minimum wage; Demographic economics; Political science; Sociology","score_opus":0.09306954246055907,"score_gpt":0.29146501848621675,"score_spread":0.19839547602565769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122634209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97973067,0.015197287,0.0007626298,0.0028586185,0.000108082626,0.00015389554,0.0010480636,0.0000073407396,0.00013341017],"genre_scores_gemma":[0.97180885,0.027808266,0.00005942042,0.000064191474,0.00014666746,0.000002261718,0.000035929,0.000021736636,0.000052654723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742013,0.00008974784,0.00077539834,0.0004928401,0.00012824134,0.0010936414],"domain_scores_gemma":[0.99846166,0.00030346852,0.00056916033,0.0005181644,0.000025369387,0.00012215697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037062597,0.00022235254,0.00044601038,0.00009857121,0.0001537243,0.00016159369,0.00093842874,0.000083163264,0.0000391478],"category_scores_gemma":[0.00070649554,0.00016863782,0.00011674799,0.00025766884,0.000079426645,0.00040505404,0.00033658903,0.0012009179,0.000010320917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004416032,0.00015953972,0.9017237,0.000012834386,0.00067008514,0.000019147392,0.0008284561,0.00018045671,0.0000624866,0.08207603,0.00031952237,0.013506176],"study_design_scores_gemma":[0.00086599705,0.0006753166,0.8512214,0.00006114561,0.000019117264,0.000011207138,0.00020700577,0.0020502433,0.000010256374,0.14447848,0.00016673535,0.00023311423],"about_ca_topic_score_codex":0.003882894,"about_ca_topic_score_gemma":0.0020424046,"teacher_disagreement_score":0.062402457,"about_ca_system_score_codex":0.00047530822,"about_ca_system_score_gemma":0.0003929488,"threshold_uncertainty_score":0.6876851},"labels":[],"label_agreement":null},{"id":"W3122662370","doi":"10.2139/ssrn.2988176","title":"Top Earnings Inequality and the Gender Pay Gap: Canada, Sweden and the United Kingdom","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Gender pay gap; Earnings; Inequality; Kingdom; Demographic economics; Labour economics; Economics; Business; Political science; Accounting","score_opus":0.033986143953302725,"score_gpt":0.246434809912612,"score_spread":0.21244866595930928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122662370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97667706,0.0018342163,0.0015499227,0.017035201,0.00026778056,0.00016025994,0.000026394893,0.000006491185,0.0024426526],"genre_scores_gemma":[0.9939688,0.0042721066,0.00001102714,0.0007030836,0.00018735263,0.0000060192274,0.000003130464,0.000015561094,0.00083292386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980406,0.00017670679,0.00048927165,0.0002393342,0.00008350378,0.000970572],"domain_scores_gemma":[0.9983676,0.0002713956,0.0007678539,0.00045245944,0.00006300846,0.000077648314],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009702983,0.00015624179,0.0003642962,0.000056899564,0.0013063955,0.0004751224,0.00050200435,0.00006736518,0.000024690318],"category_scores_gemma":[0.0008989362,0.00008469266,0.00007636819,0.00007905325,0.00037046376,0.0001627743,0.00016771101,0.0014108712,0.0000021213407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012744202,0.0000059469526,0.122326165,0.000004950933,0.00013378698,0.0000016358485,0.00023826688,0.00000571838,3.2910788e-7,0.8763862,0.000032572236,0.00073693955],"study_design_scores_gemma":[0.0034576484,0.000019672887,0.16110036,0.0000052978016,0.000021966074,0.00006677537,0.0002868086,0.0018615915,4.9251577e-7,0.821584,0.011431262,0.00016412941],"about_ca_topic_score_codex":0.4495331,"about_ca_topic_score_gemma":0.27113405,"teacher_disagreement_score":0.17839907,"about_ca_system_score_codex":0.00032432133,"about_ca_system_score_gemma":0.00056652864,"threshold_uncertainty_score":0.99999374},"labels":[],"label_agreement":null},{"id":"W3122673688","doi":"10.3386/w20628","title":"What Should I Be When I Grow Up? Occupations and Unemployment over the Life Cycle","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unemployment; Replicate; Sample (material); Order (exchange); Economics; Demographic economics; Labour economics; Productivity; Youth unemployment; Mechanism (biology); Psychology; Economic growth; Statistics","score_opus":0.32467326001710095,"score_gpt":0.45165401050489146,"score_spread":0.1269807504877905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122673688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82556987,0.008056722,0.0004976529,0.07952183,0.004478436,0.002258647,0.0027807255,0.00005597912,0.07678016],"genre_scores_gemma":[0.99393225,0.0025548232,0.00015168719,0.00097257434,0.00047259065,0.00018522503,0.00034797346,0.0000415064,0.0013413549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971737,0.00018652991,0.0011482273,0.00080547045,0.0002798612,0.0004062077],"domain_scores_gemma":[0.9969026,0.0012368573,0.00060444017,0.00073419703,0.00035635574,0.00016555334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007407058,0.0002539934,0.0006075244,0.0005236064,0.0002512373,0.00058839226,0.0008169629,0.00038064717,0.0008094487],"category_scores_gemma":[0.0009144138,0.00024367624,0.00020009768,0.00011532575,0.00036591114,0.0003618554,0.0010578815,0.000920229,0.000079702724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034409226,0.00005908876,0.009388161,0.00009085765,0.00019818504,2.777809e-7,0.00031672054,0.0034505692,8.65207e-7,0.97921014,0.0068587647,0.00039195418],"study_design_scores_gemma":[0.00041374867,0.00003379971,0.014559118,0.000043746375,0.0000072733383,6.70858e-7,0.00007088414,0.04349926,0.0000031275224,0.9256868,0.015443988,0.00023761505],"about_ca_topic_score_codex":0.0026314703,"about_ca_topic_score_gemma":0.00043278688,"teacher_disagreement_score":0.16836241,"about_ca_system_score_codex":0.0005252536,"about_ca_system_score_gemma":0.00038793762,"threshold_uncertainty_score":0.99368286},"labels":[],"label_agreement":null},{"id":"W3122676551","doi":"","title":"Top Earners: Cross-Country Facts","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Demographic economics; Distribution (mathematics); Economics; Econometrics; Mathematics; Accounting","score_opus":0.056974420543791496,"score_gpt":0.34035344913527993,"score_spread":0.28337902859148845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122676551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7058552,0.0006095007,0.000007946766,0.00036298166,0.001594221,0.0005712023,0.0020179302,0.000050309685,0.28893074],"genre_scores_gemma":[0.9738543,0.015311511,0.00031195933,0.00017866387,0.0005906866,0.00015908002,0.00036867708,0.00013627774,0.009088854],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945178,0.00013080913,0.0017227933,0.0020177534,0.00015466462,0.0014561587],"domain_scores_gemma":[0.99467194,0.00038627628,0.0010990433,0.0033270866,0.00016932633,0.0003463533],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005557821,0.00056807237,0.00135817,0.00083281985,0.00046135622,0.0015480723,0.0023652713,0.0011622297,0.00042563805],"category_scores_gemma":[0.002271016,0.0007131753,0.00038796116,0.00014226887,0.000659499,0.00040413064,0.002574003,0.0030862303,0.00014648444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020777137,0.00069252326,0.7143537,0.0007513823,0.0004142971,0.00018786502,0.00072764227,0.0062409183,0.000009936274,0.19660532,0.00012829437,0.07968038],"study_design_scores_gemma":[0.0017225127,0.00011043261,0.31385517,0.00033699485,0.000008664635,0.000009665621,0.00022344492,0.014204263,0.000019642308,0.47532588,0.1922655,0.0019178297],"about_ca_topic_score_codex":0.0019169776,"about_ca_topic_score_gemma":0.0009927211,"teacher_disagreement_score":0.4004985,"about_ca_system_score_codex":0.0015651849,"about_ca_system_score_gemma":0.00048771015,"threshold_uncertainty_score":0.9995319},"labels":[],"label_agreement":null},{"id":"W3122721509","doi":"","title":"Comparative Advantage in Cyclical Unemployment","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Business cycle; Economics; Labour economics; Recession; Survey of Income and Program Participation; Matching (statistics); Economic rent; Duration (music); Wage; Work (physics); Displaced workers; Macroeconomics","score_opus":0.021688984674313808,"score_gpt":0.2752276704423168,"score_spread":0.253538685768003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122721509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95543176,0.0024134335,0.02444976,0.0006886441,0.0002608086,0.00011591023,0.000015530986,0.000015211253,0.016608959],"genre_scores_gemma":[0.99721533,0.0014436911,0.00014316566,0.00015734571,0.0001370763,0.0000025778068,0.0000049140817,0.00001478085,0.00088109705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970475,0.000029848072,0.00077093847,0.0002513367,0.000058709313,0.0018416698],"domain_scores_gemma":[0.9993629,0.0000744208,0.00028002367,0.00016345306,0.000025468978,0.00009376149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056622108,0.00014128636,0.00037201055,0.00023927056,0.00008197467,0.00004364002,0.00023527202,0.00008076293,0.000071939816],"category_scores_gemma":[0.000051780702,0.00014716414,0.00010474231,0.00028503087,0.000037223228,0.00016832605,0.000038546066,0.0013339594,0.000094140734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057722173,0.0001222957,0.10405481,0.0000019898923,0.00004171055,0.000010824809,0.00017358687,0.000028111579,0.0000138789355,0.8943139,0.000009612611,0.001171569],"study_design_scores_gemma":[0.0009306727,0.00015055563,0.03616429,0.000007764405,0.0000027548133,0.00005481945,0.00080737507,0.0004115969,0.000020313419,0.95466053,0.0065612756,0.00022804849],"about_ca_topic_score_codex":0.00013850974,"about_ca_topic_score_gemma":0.003416621,"teacher_disagreement_score":0.06789052,"about_ca_system_score_codex":0.001385585,"about_ca_system_score_gemma":0.00017694065,"threshold_uncertainty_score":0.6001179},"labels":[],"label_agreement":null},{"id":"W3122727162","doi":"","title":"Self-enforcing Employment Contracts and Business Cycle Fluctuations","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stylized fact; Economics; Reel; Welfare economics; Business cycle; Microeconomics; Humanities; Keynesian economics; Philosophy; Business","score_opus":0.029410523399546216,"score_gpt":0.28300758886490046,"score_spread":0.25359706546535427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122727162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8106409,0.0009471494,0.00003445467,0.00066642114,0.000507768,0.00090873457,0.00058852957,0.00007415367,0.1856319],"genre_scores_gemma":[0.95860785,0.038080983,0.001423457,0.00014981431,0.00022683693,0.00022787464,0.00015387259,0.000089504036,0.0010397998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961679,0.00011900562,0.0014187786,0.0012903718,0.00010112363,0.0009028425],"domain_scores_gemma":[0.9976363,0.00043877293,0.00044194923,0.0010995284,0.00012928835,0.00025416125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031187397,0.00040465672,0.0009470443,0.000755286,0.00026652915,0.00047025378,0.0005864498,0.000533433,0.00025776724],"category_scores_gemma":[0.00048027467,0.0005116732,0.00014560626,0.00026984766,0.0001927772,0.00024397123,0.000797303,0.0013179579,0.00004218968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003500351,0.0016961663,0.12718083,0.0012954401,0.0010434916,0.00015888526,0.0039968607,0.056738988,0.000018430654,0.46428758,0.00006433275,0.34316894],"study_design_scores_gemma":[0.002446619,0.000099283076,0.2158404,0.00034812,0.000025039773,0.000019484989,0.0002527555,0.12717825,0.0000101626865,0.5346292,0.11724039,0.001910271],"about_ca_topic_score_codex":0.00089471455,"about_ca_topic_score_gemma":0.0004945547,"teacher_disagreement_score":0.34125867,"about_ca_system_score_codex":0.0010415982,"about_ca_system_score_gemma":0.00030381448,"threshold_uncertainty_score":0.9997335},"labels":[],"label_agreement":null},{"id":"W3122756455","doi":"","title":"Does South African Affirmative Action Policy Reduce Poverty? A CGE Analysis","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Affirmative action; Computable general equilibrium; Poverty; Political science; Action (physics); Economics; Development economics; Demographic economics; Economic growth; Macroeconomics; Law; Physics","score_opus":0.01913665633020244,"score_gpt":0.2376699722872372,"score_spread":0.21853331595703476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122756455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62431216,0.00028725038,0.13979103,0.0543745,0.0001918459,0.00033084286,0.00056497473,0.00022009556,0.17992727],"genre_scores_gemma":[0.988655,0.00019303974,0.004142869,0.0004114377,0.00003430109,0.00001211805,0.00013966228,0.000015548192,0.0063960575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976467,0.00080683106,0.0005844881,0.00054302154,0.000097566786,0.0003214226],"domain_scores_gemma":[0.9973648,0.00030830567,0.00060910924,0.0011088308,0.0004607853,0.00014815517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003519374,0.00019167263,0.00040039935,0.0005041289,0.0002725721,0.00027094668,0.0005087211,0.00011069562,0.00021366651],"category_scores_gemma":[0.001278993,0.00017176726,0.0002544246,0.0017651963,0.00007961406,0.00028509347,0.00010730376,0.0002017576,0.00006024258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018455436,0.00036689895,0.012043172,0.000014146616,0.0002033306,0.0000014044699,0.009838359,0.00005067278,0.00021083909,0.9622468,0.00012915641,0.014876805],"study_design_scores_gemma":[0.0017915561,0.000003796823,0.44214323,0.0001996864,0.00020584592,0.0000040771997,0.001379644,0.07415003,0.0068816687,0.421328,0.050354954,0.0015574974],"about_ca_topic_score_codex":0.002138139,"about_ca_topic_score_gemma":0.0009536118,"teacher_disagreement_score":0.54091877,"about_ca_system_score_codex":0.00020331395,"about_ca_system_score_gemma":0.00006251339,"threshold_uncertainty_score":0.70044655},"labels":[],"label_agreement":null},{"id":"W3122774456","doi":"10.2139/ssrn.1336054","title":"The Gender Pay Gap for Private Sector Employees in Canada and Britain","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Gender pay gap; Private sector; Gender gap; Labour economics; Business; Demographic economics; Economics; Economic growth; Wage","score_opus":0.01709268506456112,"score_gpt":0.21324656930985253,"score_spread":0.1961538842452914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122774456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988555,0.0049213683,0.0031010103,0.0026576961,0.00018844123,0.00015834848,0.000037630663,0.0000050006,0.00037546892],"genre_scores_gemma":[0.99398065,0.00522188,0.000058494265,0.00032562012,0.00010537744,0.0000054754096,0.0000023711189,0.000012222352,0.0002879115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99804807,0.00002644096,0.00043930326,0.0001847445,0.000040134204,0.0012613253],"domain_scores_gemma":[0.99948287,0.000099790755,0.00019698933,0.00013669571,0.00002548175,0.000058143443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022585583,0.00010875279,0.00020120201,0.000054315587,0.00019371242,0.00009549751,0.00019665225,0.000038201237,0.0000063692287],"category_scores_gemma":[0.00010215136,0.00008073431,0.000051157982,0.00010913663,0.000015834139,0.00009612291,0.00001575752,0.00059759925,9.5262413e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032145916,0.000016498125,0.11024297,0.0000035341764,0.00004024086,0.0000017203222,0.000041059706,0.000019255225,0.0000033863987,0.8825347,0.00004423927,0.007020285],"study_design_scores_gemma":[0.0004713348,0.00008469711,0.10640324,0.0000031265083,0.000002706714,0.000019715519,0.00010834629,0.0005522329,0.0000017088362,0.88725716,0.0049671964,0.00012856165],"about_ca_topic_score_codex":0.13098928,"about_ca_topic_score_gemma":0.8730006,"teacher_disagreement_score":0.7420113,"about_ca_system_score_codex":0.0014146573,"about_ca_system_score_gemma":0.0011255217,"threshold_uncertainty_score":0.8747975},"labels":[],"label_agreement":null},{"id":"W3122802892","doi":"10.2307/3270650","title":"Evidence on Adverse Selection and Establishment Size in the Labor Market","year":2002,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adverse selection; Selection (genetic algorithm); Market size; Economics; Actuarial science; Computer science","score_opus":0.08687865620740975,"score_gpt":0.2590152694661063,"score_spread":0.17213661325869656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122802892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7064715,0.21126947,0.000018235029,0.052841328,0.00045052156,0.0018073266,0.00040693436,0.000039521696,0.026695158],"genre_scores_gemma":[0.85847926,0.13670002,0.00006519176,0.0022056596,0.000120329096,0.00007813518,0.0000047593576,0.000009684284,0.0023369826],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987871,0.00016086444,0.000547796,0.00028895886,0.00005774811,0.00015752391],"domain_scores_gemma":[0.99884725,0.00065488135,0.00021381574,0.00020085025,0.000034008186,0.000049183072],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018168048,0.00012543754,0.00028810452,0.000075474105,0.00012829543,0.00006487507,0.000106106614,0.000109053064,0.002019844],"category_scores_gemma":[0.0021439595,0.00009956613,0.000039724826,0.0007736315,0.000034021396,0.00026505243,0.000026449656,0.0003233752,0.000055844885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058053596,0.00030546385,0.47346157,0.0003904673,0.00005862285,0.000011819102,0.00053829723,0.00003029493,0.0000013243205,0.44853315,0.029531753,0.047079206],"study_design_scores_gemma":[0.0014200576,0.0002155919,0.29947695,0.0028344686,0.000060053197,0.000013569259,0.000067137626,0.00226122,6.584752e-7,0.015551659,0.6776416,0.00045708125],"about_ca_topic_score_codex":0.0001672342,"about_ca_topic_score_gemma":0.000073955394,"teacher_disagreement_score":0.6481098,"about_ca_system_score_codex":0.000060215993,"about_ca_system_score_gemma":0.000012683088,"threshold_uncertainty_score":0.9988924},"labels":[],"label_agreement":null},{"id":"W3122812264","doi":"","title":"Understanding the wage patterns of Canadian less skilled workers: the role of implicit contracts","year":2009,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Wage; Labour economics; Spell; Wage growth; Economics; Efficiency wage; Low wage; Demographic economics; Sociology; Geography","score_opus":0.044297191111036416,"score_gpt":0.2273832628049982,"score_spread":0.1830860716939618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122812264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92320555,0.003635692,0.0010110014,0.0014202648,0.0016700599,0.00094006315,0.004067057,0.000031199663,0.06401908],"genre_scores_gemma":[0.9980073,0.0008768797,0.000091853195,0.0003713919,0.00022878115,0.000049574275,0.000078365316,0.000061425184,0.00023445256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99611455,0.00017404565,0.0019880696,0.0008228446,0.000126097,0.0007744032],"domain_scores_gemma":[0.9948974,0.00067375036,0.0023251784,0.0017061773,0.00012893396,0.00026850755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027910126,0.0005570497,0.0014744172,0.0008398452,0.00032043128,0.0001787047,0.0014444722,0.00059089914,0.0005188589],"category_scores_gemma":[0.0002825145,0.00046242855,0.0006382956,0.00040822965,0.00040039376,0.00014808723,0.00032152043,0.0010890128,0.000028716278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020748259,0.00006264421,0.6805683,0.00005395927,0.00032552725,0.000005771862,0.0007879615,0.00025691942,0.0000057299358,0.3173721,0.00020005347,0.00034030242],"study_design_scores_gemma":[0.0011825539,0.00008256272,0.6298165,0.0005065967,0.00013758948,0.000020530144,0.004296171,0.0017759699,0.000073646006,0.35266104,0.008230432,0.0012164082],"about_ca_topic_score_codex":0.13466105,"about_ca_topic_score_gemma":0.15303926,"teacher_disagreement_score":0.07480169,"about_ca_system_score_codex":0.001023612,"about_ca_system_score_gemma":0.0006696209,"threshold_uncertainty_score":0.99978274},"labels":[],"label_agreement":null},{"id":"W3122828865","doi":"10.2139/ssrn.525944","title":"International Trade, Labour Turnover and the Wage Premium: Testing the Bhagwati-Dehejia Hypothesis for Canada","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Carleton University; University of Calgary","funders":"","keywords":"Economics; Labour economics; Wage; Turnover","score_opus":0.015942171628360667,"score_gpt":0.1961640257345048,"score_spread":0.18022185410614414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122828865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9405375,0.0042169825,0.0070730443,0.043158382,0.0007456265,0.00040559776,0.0003683096,0.000013234881,0.0034813269],"genre_scores_gemma":[0.99694663,0.0012085632,0.00025807548,0.00076045835,0.0003359581,0.000016308377,0.000002894431,0.000020905914,0.00045018646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839145,0.00003156254,0.00045203802,0.00019597982,0.00007653328,0.0008524225],"domain_scores_gemma":[0.99892855,0.000465788,0.00036106605,0.0001660975,0.000033585362,0.00004492215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031017554,0.00013401848,0.00021372316,0.000040482115,0.00035514878,0.00016150881,0.00041635512,0.00004667949,0.000017171982],"category_scores_gemma":[0.0007614192,0.00008665467,0.00008687336,0.00013596975,0.00006927555,0.00013253372,0.000039507042,0.000712727,0.0000011941715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054497363,0.000017753333,0.0045647295,0.000004446425,0.00016255406,9.892304e-7,0.00013566788,0.00017819052,0.000007446917,0.9900596,0.00005445625,0.004759673],"study_design_scores_gemma":[0.0020587428,0.000038789283,0.022585668,0.000008999902,0.000014666084,0.00009828032,0.00024629894,0.0009328383,0.000006819323,0.9583559,0.015499845,0.00015312036],"about_ca_topic_score_codex":0.05878279,"about_ca_topic_score_gemma":0.22557156,"teacher_disagreement_score":0.16678877,"about_ca_system_score_codex":0.0009497492,"about_ca_system_score_gemma":0.00085832697,"threshold_uncertainty_score":0.94748485},"labels":[],"label_agreement":null},{"id":"W3122842747","doi":"10.1086/345559","title":"Earnings Dynamics and Inequality among Canadian Men, 1976–1992: Evidence from Longitudinal Income Tax Records","year":2003,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":341,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Inequality; Economic inequality; Labour economics; Panel Study of Income Dynamics; Longitudinal data; Earnings growth; Demographic economics; Finance; Sociology; Demography","score_opus":0.02613771934388945,"score_gpt":0.23169116730520084,"score_spread":0.2055534479613114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122842747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99126464,0.0014228353,0.0010056597,0.0011283845,0.000986812,0.00014097971,0.0011878087,0.000010485122,0.0028523956],"genre_scores_gemma":[0.99375594,0.0031156542,0.002324648,0.0002344331,0.00020665342,0.0000041176827,0.000015598207,0.000045832905,0.0002971198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689084,0.00012912351,0.0019100228,0.0004954898,0.00006143505,0.00051311415],"domain_scores_gemma":[0.9962774,0.00039445917,0.0020629254,0.00047332078,0.00019360025,0.0005983176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037532626,0.0003188617,0.000964829,0.0004520339,0.00018506333,0.000301972,0.0004524087,0.00026187708,0.0003810052],"category_scores_gemma":[0.0014571243,0.0003616214,0.00019534871,0.00029576084,0.00014532039,0.0011134429,0.000075346325,0.000613246,0.000026207485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037854858,0.000029934157,0.89588326,0.000020603477,0.00013055753,0.000026234507,0.00023816066,0.00018584607,0.0000017323608,0.10302059,0.00006778296,0.00035742405],"study_design_scores_gemma":[0.00073176244,0.00013447824,0.902764,0.00009493588,0.000033039556,0.000030162797,0.00017140862,0.005492666,0.000015952184,0.08558034,0.004464321,0.00048688526],"about_ca_topic_score_codex":0.12492379,"about_ca_topic_score_gemma":0.22163975,"teacher_disagreement_score":0.09671597,"about_ca_system_score_codex":0.0011292547,"about_ca_system_score_gemma":0.00034881657,"threshold_uncertainty_score":0.9998836},"labels":[],"label_agreement":null},{"id":"W3122870131","doi":"10.2139/ssrn.396323","title":"Trade, Wage Gaps, and Specific Human Capital Accumulation","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Human capital; Wage; Labour economics; Economics; Business; Market economy","score_opus":0.026269112664121408,"score_gpt":0.24372564741728955,"score_spread":0.21745653475316815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122870131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777945,0.010619721,0.003888416,0.00029379176,0.00022374673,0.00008659985,0.000018885856,0.00001601625,0.0070582894],"genre_scores_gemma":[0.9924721,0.00659511,0.000089183,0.00005643392,0.00013730883,0.0000020520488,0.000008427054,0.00002372372,0.00061567803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99804765,0.000046100366,0.00049598963,0.0002628768,0.00004688457,0.0011005028],"domain_scores_gemma":[0.9994347,0.000026364214,0.0002700594,0.00016998763,0.000016200102,0.000082673454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397494,0.00014369072,0.00024387678,0.00014028575,0.0002554087,0.00013672534,0.00012663795,0.00008794568,0.00014518895],"category_scores_gemma":[0.00005041876,0.00015549491,0.00008876837,0.00014126909,0.0000371788,0.0002637142,0.000014473454,0.0008197176,0.000026329666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057253324,0.000039293016,0.02505649,0.0000033211418,0.000040510033,0.000002168771,0.0001335244,0.000008312372,0.00006243544,0.97351134,0.000015388936,0.0011214976],"study_design_scores_gemma":[0.00064565416,0.00009680084,0.03093818,0.0000042464744,0.0000044077447,0.000092160335,0.00025368098,0.000055110155,0.000013178667,0.958225,0.009461503,0.00021003943],"about_ca_topic_score_codex":0.000050418,"about_ca_topic_score_gemma":0.00016497336,"teacher_disagreement_score":0.015286293,"about_ca_system_score_codex":0.0004524515,"about_ca_system_score_gemma":0.000103183644,"threshold_uncertainty_score":0.6340899},"labels":[],"label_agreement":null},{"id":"W3122919252","doi":"","title":"Educational mismatches and earnings: are the graduates more penalized for being overeducated?","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economics; Wage; Quarter (Canadian coin); Econometrics; Labour economics; Selection (genetic algorithm); Demographic economics","score_opus":0.04466641497631853,"score_gpt":0.31287056401168295,"score_spread":0.26820414903536444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122919252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95930076,0.000797155,0.000022879436,0.01803694,0.0006855194,0.0011118707,0.0010835263,0.00002208214,0.018939277],"genre_scores_gemma":[0.984969,0.008110359,0.0004406756,0.00019391811,0.00046675003,0.00077193783,0.00014236191,0.00008573154,0.004819247],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99689853,0.00012493003,0.001023651,0.0011331788,0.000080678736,0.00073902943],"domain_scores_gemma":[0.9958507,0.0022165047,0.00073127256,0.00088709744,0.00015288335,0.00016158365],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003763197,0.00035312283,0.0007538468,0.00040431693,0.00035223833,0.00035778806,0.0007489818,0.00036302657,0.000106019754],"category_scores_gemma":[0.0022703733,0.00030813174,0.00023587399,0.0001121762,0.00043001297,0.00013771364,0.00076360203,0.0008836283,0.000010930723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002866454,0.00038626004,0.55186415,0.0012233696,0.00059460365,0.000005523719,0.0033149344,0.0005661119,0.000043096068,0.4230383,0.0004325751,0.01824446],"study_design_scores_gemma":[0.00090002554,0.000037422637,0.1719271,0.00034243046,0.000009388357,0.0000052035125,0.000917073,0.0034277965,0.00001477741,0.8055205,0.01631058,0.00058775867],"about_ca_topic_score_codex":0.00023933875,"about_ca_topic_score_gemma":0.00011099917,"teacher_disagreement_score":0.38248217,"about_ca_system_score_codex":0.0006304454,"about_ca_system_score_gemma":0.00038639156,"threshold_uncertainty_score":0.99993706},"labels":[],"label_agreement":null},{"id":"W3122940964","doi":"10.1257/mac.20160241","title":"Multidimensional Skill Mismatch","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Decile; Human capital; Wage; Portfolio; Productivity; Dreyfus model of skill acquisition; Econometrics; Empirical evidence; Economics; Bayesian probability; Psychology; Labour economics; Statistics; Mathematics","score_opus":0.01845950551480478,"score_gpt":0.2272502560730454,"score_spread":0.20879075055824062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122940964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690315,0.0003930601,0.0040690266,0.012845961,0.001137307,0.00017548204,0.00049098104,0.00007501605,0.011781666],"genre_scores_gemma":[0.98401034,0.0006637269,0.0065276003,0.0074878996,0.0009614037,0.000009136967,0.000022519751,0.00008944584,0.00022791623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99682754,0.000049011167,0.0016782153,0.0007309759,0.000035184363,0.0006790419],"domain_scores_gemma":[0.9971063,0.00014172807,0.0016193432,0.00039464928,0.000040226263,0.0006977251],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086222484,0.00037730174,0.0010252757,0.00016582992,0.00024235717,0.00023992626,0.00061572966,0.000091917726,0.0018376812],"category_scores_gemma":[0.00013846353,0.00045693037,0.00040455448,0.00013440668,0.00028806893,0.00051459315,0.00018961837,0.00057241606,0.004209408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003414257,0.000192546,0.18545426,0.00003774243,0.0007402678,0.00012484103,0.0022084247,0.0072298986,0.00008593582,0.78074974,0.009117162,0.013717766],"study_design_scores_gemma":[0.0053257965,0.0009557389,0.041654367,0.000029331895,0.000058711386,0.00065182464,0.0022166066,0.10348357,0.00016815255,0.20903441,0.6330962,0.0033252432],"about_ca_topic_score_codex":0.00035492211,"about_ca_topic_score_gemma":0.00002569039,"teacher_disagreement_score":0.6239791,"about_ca_system_score_codex":0.0005508302,"about_ca_system_score_gemma":0.00013389818,"threshold_uncertainty_score":0.9997882},"labels":[],"label_agreement":null},{"id":"W3122953946","doi":"10.7892/boris.50201","title":"The costs of hiring skilled workers","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bundesamt für Berufsbildung und Technologie; Kommission für Technologie und Innovation","keywords":"Quarter (Canadian coin); Labour economics; Wage; Payment; Business; Order (exchange); Opportunity cost; Marginal cost; Economics; Microeconomics; Finance","score_opus":0.04830916520651353,"score_gpt":0.3086582120069428,"score_spread":0.2603490468004293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122953946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7433835,0.0016355782,0.000015803633,0.0006801561,0.0012898273,0.00078217953,0.00039561107,0.000027092983,0.25179023],"genre_scores_gemma":[0.98256594,0.013941448,0.0002830378,0.00003518553,0.00018393423,0.00016189994,0.000051404542,0.00007898095,0.002698178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99591947,0.00023329431,0.0017987753,0.00098714,0.00013762247,0.00092370785],"domain_scores_gemma":[0.99579865,0.0010678328,0.000892289,0.0017817692,0.00023302276,0.00022644263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011012356,0.0003443938,0.0010019296,0.0005048643,0.00019839495,0.0002461631,0.0014583452,0.00051374926,0.000055242086],"category_scores_gemma":[0.0020685983,0.00034151122,0.00029961017,0.00027075797,0.00048054577,0.000103236016,0.00173413,0.0017112739,0.000027771952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054416177,0.0004845174,0.2983681,0.00038541073,0.00070290384,0.000039092894,0.0011322765,0.020060755,0.000007809632,0.46079767,0.00041569423,0.21706162],"study_design_scores_gemma":[0.0027799918,0.00019986361,0.0438544,0.0006797077,0.000015896507,0.000006501237,0.0019268098,0.052455995,0.000029050525,0.79624337,0.100076295,0.0017321133],"about_ca_topic_score_codex":0.0009349857,"about_ca_topic_score_gemma":0.0009648906,"teacher_disagreement_score":0.33544573,"about_ca_system_score_codex":0.0020053165,"about_ca_system_score_gemma":0.00048391044,"threshold_uncertainty_score":0.9999037},"labels":[],"label_agreement":null},{"id":"W3123041868","doi":"","title":"The Apprenticeship-to-Work Transition : Experimental Evidence from Ghana","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"York University; Southern Methodist University; Department for International Development; Brown University; Austrian Development Agency; New York University Abu Dhabi; United States Agency for International Development","keywords":"Apprenticeship; Earnings; School-to-work transition; Youth unemployment; Labour economics; Unemployment; Wage; Work (physics); Randomized experiment; Government (linguistics); Business; Demographic economics; Economics; Vocational education; Engineering; Economic growth; Medicine; Finance","score_opus":0.042707007542473065,"score_gpt":0.2944901481887108,"score_spread":0.2517831406462377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123041868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969586,0.00078381435,0.00003655943,0.0011926396,0.00058722764,0.0005838786,0.000089721354,0.000021078215,0.027119089],"genre_scores_gemma":[0.99672467,0.0013470041,0.00023607111,0.00018332068,0.00012832394,0.00010953573,0.000017272718,0.00003563264,0.0012181605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762154,0.00013496478,0.0007321138,0.0007604399,0.00009537518,0.0006555429],"domain_scores_gemma":[0.9977723,0.00096510357,0.00015911751,0.00089564035,0.000040482948,0.00016739215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029983544,0.00017936008,0.00035695115,0.00019706307,0.00021856968,0.00028708507,0.0007040348,0.00013287425,0.00042019447],"category_scores_gemma":[0.00032471525,0.00017837858,0.00012982202,0.00032280327,0.000114823066,0.00030297667,0.00019895996,0.0004316925,0.00040261052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025551692,0.0011676349,0.5327974,0.00014800295,0.00048456667,0.00004351925,0.014939347,0.008876663,0.0018693189,0.2470409,0.00027671663,0.18980075],"study_design_scores_gemma":[0.0066585066,0.0015198926,0.5195441,0.0011962049,0.000021578522,0.000008236765,0.016821437,0.10060885,0.0028018283,0.17079811,0.17571236,0.0043088673],"about_ca_topic_score_codex":0.00042740986,"about_ca_topic_score_gemma":0.0002370184,"teacher_disagreement_score":0.18549189,"about_ca_system_score_codex":0.00055839843,"about_ca_system_score_gemma":0.00005264639,"threshold_uncertainty_score":0.72740674},"labels":[],"label_agreement":null},{"id":"W3123042355","doi":"","title":"Search Costs and Efficiency: Do Unemployed Workers Search Enough?","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Search cost; Unemployment; Economics; Distribution (mathematics); Sanctions; Labour economics; Welfare; Search theory; Wage; Microeconomics; Point (geometry)","score_opus":0.05508324994753299,"score_gpt":0.3129672126106646,"score_spread":0.2578839626631316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123042355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8763401,0.0019243914,0.000027940001,0.0011039284,0.0007016398,0.0012412869,0.00084485527,0.000065479406,0.1177504],"genre_scores_gemma":[0.9833329,0.0124896765,0.00062101794,0.000085854794,0.0002901026,0.00017292958,0.00015117395,0.00015968636,0.0026966755],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932017,0.0005008771,0.0017427254,0.0023859553,0.00030344204,0.001865305],"domain_scores_gemma":[0.9957225,0.0008535407,0.000365201,0.0019961311,0.00034378783,0.00071884255],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014929923,0.0006295879,0.0014664226,0.0014727185,0.00030996345,0.0008248452,0.0014968496,0.0009807042,0.00018825565],"category_scores_gemma":[0.0010539994,0.00076056796,0.00025380537,0.0006026903,0.0008352399,0.00021849413,0.0032765362,0.0034956166,0.0001004244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006880925,0.001059484,0.64798707,0.00097076886,0.00054375076,0.0002187618,0.0040476155,0.022541784,0.000022567774,0.17161399,0.00032078536,0.14998533],"study_design_scores_gemma":[0.012330321,0.0015884277,0.17197625,0.0020251535,0.00005676338,0.000085638516,0.010403966,0.23436564,0.00011317422,0.43628925,0.12172111,0.009044291],"about_ca_topic_score_codex":0.0020805907,"about_ca_topic_score_gemma":0.00039209108,"teacher_disagreement_score":0.47601083,"about_ca_system_score_codex":0.003120385,"about_ca_system_score_gemma":0.0010247661,"threshold_uncertainty_score":0.99948454},"labels":[],"label_agreement":null},{"id":"W3123076767","doi":"","title":"Is Training More Frequent When Wage Compression is Higher? Evidence from the European Community Household Panel","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Training (meteorology); Wage; Productivity; Labour economics; Differential (mechanical device); Panel data; Economics; Demographic economics; European union; Quarter (Canadian coin); International trade; Economic growth; Econometrics","score_opus":0.2816512753292089,"score_gpt":0.3308737561575905,"score_spread":0.0492224808283816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123076767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9097511,0.0019753554,0.00003772232,0.0036254085,0.0010601061,0.0008891623,0.0041721296,0.00007239112,0.078416586],"genre_scores_gemma":[0.97849405,0.015839439,0.0007424709,0.0021961236,0.00038976784,0.000114487666,0.00021113362,0.00018028017,0.0018322422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99285626,0.0022481545,0.0019598517,0.0015630389,0.00022017244,0.0011525239],"domain_scores_gemma":[0.99241465,0.0022698862,0.0009865391,0.0039136414,0.000114313545,0.0003009537],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012848766,0.00064985175,0.0012454571,0.00032310508,0.0008239614,0.00069439656,0.0031407597,0.00058178237,0.00065272674],"category_scores_gemma":[0.0008836857,0.00063799345,0.00045968153,0.0002100622,0.00055662397,0.00028465845,0.0028403427,0.0054461276,0.00006244033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041974656,0.0020786861,0.60119706,0.0011825903,0.002178653,0.00033447807,0.16493951,0.009971163,0.0002816615,0.029754002,0.007534721,0.18012775],"study_design_scores_gemma":[0.0020684057,0.00014948737,0.5631747,0.0025061453,0.000043321277,0.000007054337,0.0046294164,0.0099235745,0.000059973117,0.29391176,0.12093047,0.0025956798],"about_ca_topic_score_codex":0.00838288,"about_ca_topic_score_gemma":0.0005163952,"teacher_disagreement_score":0.26415774,"about_ca_system_score_codex":0.0012355422,"about_ca_system_score_gemma":0.00023269739,"threshold_uncertainty_score":0.99960715},"labels":[],"label_agreement":null},{"id":"W3123093758","doi":"10.32920/ryerson.14637975","title":"The Impact of Aggregate and Sectoral Fluctuations on Training Decisions","year":2021,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Acadia University","funders":"","keywords":"Business cycle; Shock (circulatory); Training (meteorology); Economics; Work (physics); Aggregate (composite); Position (finance); Labour economics; Monetary economics; Finance; Macroeconomics; Engineering; Medicine","score_opus":0.06602159822379944,"score_gpt":0.28795605725229106,"score_spread":0.22193445902849163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123093758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97511286,0.00050244096,0.0012262536,0.00047670156,0.00010141886,0.00004438764,0.00017169003,0.000007852238,0.022356374],"genre_scores_gemma":[0.99834913,0.00046898084,0.00037808047,0.000053241212,0.00002137165,0.000002843482,0.000008468549,0.000006828525,0.0007110411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993698,0.000017274611,0.00030685047,0.00015611957,0.000021720823,0.0001282496],"domain_scores_gemma":[0.9991332,0.0004180053,0.00012229098,0.00023525796,0.000045235334,0.0000459821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046022053,0.000065151326,0.00016505811,0.000033529905,0.00011266486,0.000064746004,0.000072672665,0.000032755226,0.00021203536],"category_scores_gemma":[0.00064184464,0.0000466116,0.000094345676,0.00018191196,0.00003968642,0.00005321211,0.000035021272,0.00006750491,0.000010514962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010965006,0.00003527347,0.016911032,0.000001526626,0.000060759856,0.000002092932,0.0003007413,0.00022143434,0.000054638214,0.9725844,0.000115809504,0.009701307],"study_design_scores_gemma":[0.00041857339,0.00008293347,0.40390652,0.000015487656,0.0000035363882,0.0000045126426,0.00019655623,0.017514382,0.000056418114,0.5760584,0.0015934566,0.00014926045],"about_ca_topic_score_codex":0.00021197325,"about_ca_topic_score_gemma":0.00015136132,"teacher_disagreement_score":0.39652607,"about_ca_system_score_codex":0.000029611952,"about_ca_system_score_gemma":0.000039663046,"threshold_uncertainty_score":0.23216385},"labels":[],"label_agreement":null},{"id":"W3123099538","doi":"10.5089/9781451855494.001.a001","title":"Returns to Human Capital and Investment in New Technology","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage; Investment (military); Economics; Labour economics; Market economy","score_opus":0.02510696283907473,"score_gpt":0.23803529976465063,"score_spread":0.2129283369255759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123099538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95746714,0.000274828,0.00034314473,0.0036061746,0.00006603953,0.00012902163,0.000011481655,0.000029857603,0.038072303],"genre_scores_gemma":[0.99333036,0.000066785986,0.0012812134,0.0011898403,0.00002850768,0.000006765659,0.0000039195506,0.000008833715,0.0040837643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919426,0.0000039536885,0.00031837917,0.00027288336,0.000013827325,0.00019671532],"domain_scores_gemma":[0.9996262,0.000008130968,0.000053909218,0.00020937264,0.000007727779,0.00009464713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024210507,0.00008369222,0.00019635935,0.00030785316,0.00002902022,0.00003248633,0.00010689845,0.00008256396,0.0002946078],"category_scores_gemma":[0.000048842565,0.000091179,0.00001831581,0.00033358406,0.000021830525,0.000068500034,0.0000867692,0.0000849813,0.00006762971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002259917,0.000020825482,0.27253702,0.0000017837232,0.0000037098202,0.0000061307037,0.00020777139,0.0000017271258,0.000018192557,0.72668236,0.000114149276,0.00040407566],"study_design_scores_gemma":[0.00037418734,0.000067073976,0.12003468,0.000004565708,6.7998167e-7,0.0000035028067,0.00014774107,0.00007678233,0.000013819577,0.85685253,0.022261968,0.00016245722],"about_ca_topic_score_codex":0.0015465406,"about_ca_topic_score_gemma":0.0046103145,"teacher_disagreement_score":0.15250236,"about_ca_system_score_codex":0.00006802243,"about_ca_system_score_gemma":0.0000108101995,"threshold_uncertainty_score":0.37181717},"labels":[],"label_agreement":null},{"id":"W3123150551","doi":"","title":"How skills and parental valuation of education influence human capital acquisition and early labor market return to human capital in Canada","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Earnings; Valuation (finance); Cognitive skill; Cognition; Graduation (instrument); Psychology; Economics; Demographic economics; Educational attainment; Labour economics; Developmental psychology; Economic growth; Finance","score_opus":0.017961295410620814,"score_gpt":0.27350870646279735,"score_spread":0.25554741105217654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123150551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429625,0.0003089942,0.0000011615346,0.0003663645,0.0003787874,0.0010413656,0.0008762934,0.0000060602347,0.0027247427],"genre_scores_gemma":[0.99760306,0.0011578421,0.00009140357,0.00006600511,0.00008632481,0.00013874129,0.000158219,0.000041806234,0.00065660756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971602,0.0001670425,0.0010366163,0.0010008251,0.00013421745,0.0005011017],"domain_scores_gemma":[0.9982357,0.00019510757,0.0005473166,0.00067184464,0.00016336697,0.0001866768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022510195,0.00029477043,0.00073675846,0.00073671783,0.00010101208,0.0002576438,0.0003651666,0.00028837987,0.000032597873],"category_scores_gemma":[0.0003425291,0.0003865904,0.000059922735,0.00017752052,0.00013340039,0.00030852246,0.0006144683,0.0007201005,0.0000010584927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028334634,0.00013201415,0.98349124,0.00027932305,0.00003449712,0.0000035031321,0.0011463538,0.00034994143,0.00010189875,0.011131617,0.0000097350385,0.003291539],"study_design_scores_gemma":[0.00047761845,0.000095875985,0.9462866,0.00020032741,0.000003538847,0.0000017305669,0.0008424279,0.0004849856,0.000023062285,0.051071752,0.00013425275,0.0003778044],"about_ca_topic_score_codex":0.36931685,"about_ca_topic_score_gemma":0.48612198,"teacher_disagreement_score":0.11680515,"about_ca_system_score_codex":0.0023642005,"about_ca_system_score_gemma":0.00089574984,"threshold_uncertainty_score":0.9998586},"labels":[],"label_agreement":null},{"id":"W3123211234","doi":"10.1080/00036840010011150","title":"Work sharing and productivity: evidence from firm level data","year":2001,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Work (physics); Economics; Set (abstract data type); Piece work; Work productivity; Industrial organization; Labour economics; Microeconomics; Econometrics; Computer science; Macroeconomics; Engineering; Incentive","score_opus":0.17205981101362977,"score_gpt":0.25800714012835807,"score_spread":0.0859473291147283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123211234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875083,0.001267779,0.0025908977,0.00097109866,0.00034501663,0.00024576613,0.0006350892,0.000049469774,0.0063865823],"genre_scores_gemma":[0.99402773,0.0022089386,0.002556188,0.00025181775,0.00032480055,0.000024037066,0.00015374852,0.000039819424,0.0004129156],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977639,0.000006723123,0.00062098895,0.0012445846,0.000020348949,0.00034348512],"domain_scores_gemma":[0.9977538,0.00014712497,0.00033319078,0.00163825,0.000012509634,0.000115154566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001166869,0.00021600882,0.0004619412,0.00008571624,0.00012920637,0.00024374154,0.00078021945,0.00012029593,0.00018227093],"category_scores_gemma":[0.00014227595,0.00027292594,0.000036512258,0.00016640026,0.00007411988,0.0006226221,0.00085763267,0.00019447006,0.00021584227],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008808533,0.00006611601,0.7401855,0.000018456376,0.00010113122,0.0000027019962,0.00025608204,0.00021429552,0.000011261691,0.24480838,0.00018207332,0.014065902],"study_design_scores_gemma":[0.00061742926,0.000016102362,0.39620975,0.0000348844,0.00001966852,0.0000043164873,0.000055728397,0.0090666,0.000019627494,0.5631055,0.030070418,0.00077994715],"about_ca_topic_score_codex":0.0009226403,"about_ca_topic_score_gemma":0.00036668652,"teacher_disagreement_score":0.34397575,"about_ca_system_score_codex":0.00010719945,"about_ca_system_score_gemma":0.000020048443,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W3123213252","doi":"10.1111/sjoe.12547","title":"Rising concentration and wage inequality","year":2023,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal","keywords":"Inequality; Wage inequality; Economics; Wage; Labour economics; Demographic economics; Mathematics; Mathematical analysis","score_opus":0.04203257241287349,"score_gpt":0.2468052916666927,"score_spread":0.20477271925381924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123213252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943896,0.00044128808,0.0006494968,0.00079756277,0.0007783184,0.00007199887,0.00013898843,0.000014672488,0.0027181094],"genre_scores_gemma":[0.997616,0.0015628285,0.00033388985,0.00013224871,0.00020293742,0.0000010926474,0.000011470855,0.000017681976,0.000121836165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849033,0.00003196935,0.0010174195,0.00019799962,0.00001985951,0.00024239428],"domain_scores_gemma":[0.99861914,0.00009236784,0.0009162144,0.00017497544,0.000053110558,0.00014418455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020804207,0.000123013,0.00043085427,0.00013985214,0.00009808569,0.0001398522,0.00016102128,0.00008143134,0.00007607324],"category_scores_gemma":[0.00017539437,0.00013666312,0.000110877554,0.00019926034,0.00006744771,0.00043371366,0.00004877183,0.00017230943,0.00005354846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057011144,0.000032092372,0.45794588,0.000031710242,0.000085508625,0.000021251873,0.00061986386,0.00032515533,0.000025970285,0.53679836,0.00018772237,0.0038695056],"study_design_scores_gemma":[0.0014494956,0.0001663864,0.27456516,0.00005652947,0.000015019648,0.000051128853,0.00027717362,0.006585227,0.000065197186,0.7113882,0.0050171595,0.00036333658],"about_ca_topic_score_codex":0.000038876064,"about_ca_topic_score_gemma":0.000013741368,"teacher_disagreement_score":0.18338071,"about_ca_system_score_codex":0.00013085248,"about_ca_system_score_gemma":0.000028900355,"threshold_uncertainty_score":0.55729604},"labels":[],"label_agreement":null},{"id":"W3123222378","doi":"10.1111/1468-2354.t01-1-00092","title":"Unemployment insurance and the business cycle*","year":2003,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Manitoba","funders":"","keywords":"Layoff; Business cycle; Unemployment; Economics; Earnings; Productivity; General equilibrium theory; Labour economics; Macroeconomics; Finance","score_opus":0.029872306221922537,"score_gpt":0.2656358603397855,"score_spread":0.23576355411786293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123222378","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14270227,0.5559665,0.0012634733,0.06861865,0.014131183,0.0027356057,0.004194198,0.000081870574,0.21030627],"genre_scores_gemma":[0.41578156,0.57611984,0.00023772448,0.005659908,0.0003015117,0.00030763794,0.00014674634,0.000043714117,0.0014013237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99761176,0.00007725463,0.001392326,0.00067988754,0.000046924753,0.00019181897],"domain_scores_gemma":[0.9978917,0.00013885916,0.0011647325,0.0006667809,0.00007881556,0.000059067235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022372543,0.000301801,0.00097448274,0.00008209534,0.00006262703,0.00019679264,0.00074074167,0.00013135756,0.0006490865],"category_scores_gemma":[0.00029501077,0.00025773613,0.00025114862,0.00005768961,0.00016357102,0.000121513585,0.0005194994,0.00035482645,0.0002633682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018599249,0.0000297886,0.010532028,0.0008991663,0.00027444717,0.0000023256252,0.000027745355,0.0003417297,2.9522612e-8,0.9830816,0.0014800442,0.0033125437],"study_design_scores_gemma":[0.0009624613,0.000003889721,0.016885126,0.0012394899,0.000025816038,0.0000144186015,0.000001932485,0.0026751237,2.1068892e-7,0.5702571,0.40748712,0.00044725972],"about_ca_topic_score_codex":0.0007873817,"about_ca_topic_score_gemma":0.000044729324,"teacher_disagreement_score":0.4128244,"about_ca_system_score_codex":0.0003108963,"about_ca_system_score_gemma":0.000067720284,"threshold_uncertainty_score":0.9999875},"labels":[],"label_agreement":null},{"id":"W3123230681","doi":"","title":"Wages, Human Capital, and the Allocation of Labor across Sectors","year":2014,"lang":"en","type":"article","venue":"2014 Meeting Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Human capital; Wage; Economics; Labour economics; sort; Capital (architecture); Geography; Economic growth","score_opus":0.011217598159113794,"score_gpt":0.22518645005689414,"score_spread":0.21396885189778034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123230681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780994,0.0004976736,0.000048623366,0.0007652752,0.00017061636,0.00010729528,0.000054475153,0.000018539422,0.020238094],"genre_scores_gemma":[0.9989433,0.0001675898,0.00010996095,0.0002476311,0.00007079674,0.000009004502,0.000011963105,0.000015524736,0.00042417075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990694,0.00006341168,0.0004137633,0.00023120955,0.000037306843,0.00018493642],"domain_scores_gemma":[0.99911195,0.00019072372,0.00033826014,0.00028685317,0.000033866243,0.000038374103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025647706,0.000101141806,0.00026906133,0.0000309005,0.00017032812,0.000051027393,0.00015891134,0.00006399416,0.000047134257],"category_scores_gemma":[0.00037397564,0.00008218851,0.000059390717,0.00008527154,0.00018114827,0.000054651387,0.000059398306,0.00008853378,0.000014984197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018114539,0.000020852209,0.11291358,0.000059020094,0.00003752787,1.4334597e-7,0.0022691134,0.00005759425,0.0007072303,0.883203,0.00009096304,0.0006228157],"study_design_scores_gemma":[0.005551344,0.00015108686,0.7092497,0.00010612936,0.000037160087,0.000003020763,0.0015926509,0.0053571463,0.0006384222,0.2101046,0.0662695,0.0009392571],"about_ca_topic_score_codex":0.0014627997,"about_ca_topic_score_gemma":0.00035306267,"teacher_disagreement_score":0.67309844,"about_ca_system_score_codex":0.000019670859,"about_ca_system_score_gemma":0.000004309051,"threshold_uncertainty_score":0.33515504},"labels":[],"label_agreement":null},{"id":"W3123257157","doi":"","title":"Labour Market Reforms and Changes in Wage Inequality in the United Kingdom and the United States","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Convergence (economics); Economics; Inequality; Wage; Wage inequality; Labour economics; Minimum wage; Wage share; Kingdom; Efficiency wage; Demographic economics; Economic growth","score_opus":0.0228547690925898,"score_gpt":0.2412151722230488,"score_spread":0.218360403130459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123257157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848947,0.0016726342,0.00025544947,0.012106125,0.00005965565,0.00019845307,0.00003818706,0.000008067788,0.00076673046],"genre_scores_gemma":[0.9580087,0.0403475,0.000009832291,0.001249921,0.00006425753,0.000012094498,0.000021705378,0.000015205617,0.0002707537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766314,0.00033030607,0.0005710403,0.00023748499,0.000069866874,0.0011281557],"domain_scores_gemma":[0.99903613,0.0003178739,0.0003215194,0.00024113621,0.000037725593,0.000045614117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014376954,0.00017185966,0.00033542496,0.00046523206,0.00017715852,0.0001774169,0.0003142625,0.0000902716,0.00002917977],"category_scores_gemma":[0.0002958939,0.00010469988,0.00003971337,0.0010504475,0.00012998299,0.00015257679,0.00007470721,0.0013951372,0.0000016112638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021948181,0.000044441498,0.19928299,0.000008955836,0.00003389228,0.000009195447,0.00095702265,0.000024472043,5.308464e-7,0.7985551,0.000006222178,0.0008576955],"study_design_scores_gemma":[0.002550232,0.00008656431,0.17228764,0.000018360324,0.0000055319874,0.00011404131,0.0022889827,0.0055717276,2.992157e-7,0.80596745,0.0109307375,0.00017842946],"about_ca_topic_score_codex":0.014104925,"about_ca_topic_score_gemma":0.035419084,"teacher_disagreement_score":0.03867487,"about_ca_system_score_codex":0.00033578477,"about_ca_system_score_gemma":0.00007353517,"threshold_uncertainty_score":0.99246025},"labels":[],"label_agreement":null},{"id":"W3123319832","doi":"10.3386/w13128","title":"Performance Pay and Wage Inequality","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Wage inequality; Inequality; Labour economics; Economics; Wage; Mathematics","score_opus":0.37135672789114355,"score_gpt":0.4742832051929988,"score_spread":0.10292647730185528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123319832","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18818438,0.0015681043,0.00002563823,0.00047437896,0.00082924956,0.0004349409,0.0012330619,0.000018638111,0.8072316],"genre_scores_gemma":[0.98150235,0.0074218954,0.00021544137,0.00003966717,0.00076499267,0.000040389215,0.00045871583,0.000055195127,0.009501341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604034,0.00009400854,0.0018736726,0.0008750925,0.00052451616,0.000592385],"domain_scores_gemma":[0.9963505,0.000889414,0.0009225182,0.0005359906,0.0011305643,0.00017098084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.028140508,0.0002891874,0.0009588507,0.0012270922,0.0001707262,0.00010190536,0.0005352887,0.00060256483,0.00072052877],"category_scores_gemma":[0.0018760561,0.00028931285,0.00018149882,0.00029540443,0.00037233267,0.00026312395,0.00034550388,0.0010863362,0.00022131258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000582524,0.00009976927,0.13561776,0.00051424926,0.0001766693,0.000003667169,0.00006497213,0.000035443696,0.000003982804,0.85423005,0.0055237436,0.0036714517],"study_design_scores_gemma":[0.0006507211,0.00014262408,0.09036683,0.00011696646,0.000007624912,0.000014905734,0.000023383276,0.0025559643,0.00003144405,0.79146254,0.11403549,0.0005915408],"about_ca_topic_score_codex":0.0037744753,"about_ca_topic_score_gemma":0.00020920928,"teacher_disagreement_score":0.79773027,"about_ca_system_score_codex":0.0017628064,"about_ca_system_score_gemma":0.0011645949,"threshold_uncertainty_score":0.9999559},"labels":[],"label_agreement":null},{"id":"W3123366188","doi":"10.1111/j.0008-4085.2004.002_1.x","title":"Unions without rents: the curious economics of faculty unions","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economic rent; Economics; Revenue; Labour economics; Wage; Welfare; Demographic economics; Microeconomics; Market economy; Accounting","score_opus":0.13697256915769407,"score_gpt":0.2028322475865219,"score_spread":0.06585967842882784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123366188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823195,0.00048767411,0.00039570653,0.0074266735,0.0019058039,0.0003242418,0.0030049547,0.0000077821205,0.004127667],"genre_scores_gemma":[0.9970064,0.00059736875,0.0005895791,0.0009302683,0.00038527756,0.000014083471,0.00006390963,0.00007527545,0.0003378297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99638736,0.00005320687,0.0022189517,0.00047953136,0.0000029106611,0.0008580395],"domain_scores_gemma":[0.9952567,0.00013084976,0.0022128564,0.0008765001,0.00024198518,0.0012810717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017574887,0.00038676828,0.0011165496,0.00077432086,0.00032128047,0.00017009095,0.00123531,0.00026869538,0.00020501882],"category_scores_gemma":[0.0004054244,0.00041487973,0.0004903269,0.00026946413,0.00040234323,0.00056689256,0.000046330428,0.00056291657,0.00003748664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027184682,0.00003105438,0.021778563,0.00002301248,0.00023723225,0.000017997014,0.0009875374,0.018256377,0.0000022643092,0.9582322,0.000091374866,0.00031520033],"study_design_scores_gemma":[0.0014379834,0.00023884597,0.006835971,0.000080277314,0.00004304248,0.00020393108,0.0004853915,0.0006914168,0.00004469358,0.943636,0.045758218,0.0005442017],"about_ca_topic_score_codex":0.2258547,"about_ca_topic_score_gemma":0.9206954,"teacher_disagreement_score":0.6948407,"about_ca_system_score_codex":0.0026276275,"about_ca_system_score_gemma":0.0021004456,"threshold_uncertainty_score":0.9998303},"labels":[],"label_agreement":null},{"id":"W3123380971","doi":"10.2753/eee0012-8775460204","title":"Wage Flexibility in Turbulent Times: A Practitioner's Guide, with an Application to Poland","year":2008,"lang":"en","type":"article","venue":"Eastern European Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wage; Economics; Flexibility (engineering); Counterfactual thinking; Distribution (mathematics); Unemployment; Labour economics; Econometrics; Efficiency wage; Estimation; Macroeconomics; Mathematics","score_opus":0.028270099162273125,"score_gpt":0.23134321405994443,"score_spread":0.2030731148976713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123380971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9344314,0.000047361737,0.010008192,0.00056169456,0.00008582777,0.00039031164,0.00016368512,0.00005464292,0.05425689],"genre_scores_gemma":[0.9949521,0.00007585566,0.0021046451,0.0009736031,0.00014361946,0.000021472053,0.00009596187,0.00006340104,0.00156935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998013,0.00008040889,0.0008197752,0.00074086536,0.000028304721,0.00031761578],"domain_scores_gemma":[0.99857813,0.000026998552,0.00036268446,0.00079498295,0.0000388878,0.00019829186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011384946,0.00021703349,0.00035317245,0.00019348555,0.0000954092,0.000088997396,0.00033504853,0.000049498096,0.00009100776],"category_scores_gemma":[0.00004318254,0.00024045508,0.00005496111,0.00017039198,0.000053689364,0.000502105,0.000091060945,0.00015934288,0.0011230207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005404829,0.0010453635,0.8114726,0.00004280626,0.000092845396,0.00012568303,0.0025838346,0.018204065,0.00001907826,0.15857852,0.00021786554,0.007076898],"study_design_scores_gemma":[0.0021697646,0.00050568907,0.81022364,0.000029553383,0.000007450683,0.00010049336,0.00014853205,0.038609397,0.000012803311,0.014220276,0.13286538,0.0011070376],"about_ca_topic_score_codex":0.0005359797,"about_ca_topic_score_gemma":0.0006097563,"teacher_disagreement_score":0.14435823,"about_ca_system_score_codex":0.00023437141,"about_ca_system_score_gemma":0.000035789355,"threshold_uncertainty_score":0.9996547},"labels":[],"label_agreement":null},{"id":"W3123388550","doi":"10.1086/682347","title":"The Great Reversal in the Demand for Skill and Cognitive Tasks","year":2015,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":389,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Bust; Labour economics; Great recession; Economics; Recession; Cognitive skill; Financial crisis; Labor demand; Cognition; Wage; Psychology; Macroeconomics; Boom","score_opus":0.03398693714613637,"score_gpt":0.253677533005575,"score_spread":0.21969059585943862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123388550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99020916,0.0028430915,0.0005519759,0.004067053,0.0005143518,0.00020151763,0.00029377593,0.0000018218651,0.0013172304],"genre_scores_gemma":[0.99685585,0.0016625281,0.0002983177,0.0008050551,0.00023184223,0.000008295692,0.0000032974742,0.0000133062995,0.00012147895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882126,0.00004719547,0.0007706898,0.00014019624,0.000024106948,0.00019655415],"domain_scores_gemma":[0.99821573,0.00070306455,0.0007154749,0.00014846389,0.00013692612,0.00008035053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004352197,0.00010779156,0.00032231034,0.00008475325,0.00009442195,0.0001752403,0.00026656146,0.00007054852,0.0000044920275],"category_scores_gemma":[0.00077489,0.000073658426,0.0000877888,0.00009206714,0.00008256427,0.0002552461,0.0000356551,0.00018562701,0.0000037463224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059534534,0.000106517065,0.21722156,0.000024711188,0.00020640949,0.000014692508,0.003603939,0.00017811474,6.205078e-7,0.77101135,0.0012478142,0.0057889232],"study_design_scores_gemma":[0.00415604,0.00040784414,0.10304844,0.00003257529,0.000043136763,0.00007965329,0.002718441,0.002666781,0.0000065911395,0.78645986,0.10009484,0.000285828],"about_ca_topic_score_codex":0.000045376597,"about_ca_topic_score_gemma":0.00025430578,"teacher_disagreement_score":0.11417313,"about_ca_system_score_codex":0.00009024478,"about_ca_system_score_gemma":0.0000697837,"threshold_uncertainty_score":0.30037034},"labels":[],"label_agreement":null},{"id":"W3123415982","doi":"","title":"Labor Market Fluidity and Economic Performance","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Workforce; Quarter (Canadian coin); Download; Labour economics; Recession; Demographic economics; Economics; Great recession; Fell; Economic growth; Geography; Macroeconomics","score_opus":0.007636955504476785,"score_gpt":0.19320632816875224,"score_spread":0.18556937266427545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123415982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97800124,0.0020649522,0.0029378973,0.00090714433,0.00042002226,0.000067216446,0.000038471215,0.000021982156,0.015541085],"genre_scores_gemma":[0.9839213,0.013089449,0.0001006232,0.00020461968,0.00034621748,0.000003820647,0.0000032957807,0.000024101491,0.0023066117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977954,0.00004701208,0.00050673186,0.0002974108,0.00003319251,0.0013202543],"domain_scores_gemma":[0.9992802,0.00005824771,0.00029633628,0.00023541444,0.000025051735,0.000104717685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004918394,0.00016045116,0.00031610348,0.00012097419,0.00021035923,0.00011576165,0.00024024567,0.00008747885,0.00021167635],"category_scores_gemma":[0.0000954113,0.00016912472,0.000076148055,0.00007719518,0.000052067873,0.00031046433,0.00005708696,0.00080386945,0.00011520121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026727552,0.000017910379,0.15355518,0.000009773974,0.00005106242,2.8883147e-7,0.000027585302,0.000011881812,0.000003817036,0.8392471,0.00010637914,0.006942254],"study_design_scores_gemma":[0.00075569266,0.00019875773,0.09788995,0.000007842121,0.000007588511,0.00009038021,0.00004908943,0.0120712165,0.0000071980767,0.85555965,0.03305537,0.00030729224],"about_ca_topic_score_codex":0.000146149,"about_ca_topic_score_gemma":0.00031035123,"teacher_disagreement_score":0.055665236,"about_ca_system_score_codex":0.0005783199,"about_ca_system_score_gemma":0.00020847794,"threshold_uncertainty_score":0.68967056},"labels":[],"label_agreement":null},{"id":"W3123421623","doi":"","title":"The Effects of a Training Levy on Training Characteristics and Outcomes: The Case of Quebec","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Training (meteorology); Context (archaeology); Demographic economics; Government (linguistics); Wage; Business; Set (abstract data type); Labour economics; Economics; Geography","score_opus":0.01602386896243369,"score_gpt":0.2244201372550178,"score_spread":0.20839626829258412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123421623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608594,0.0012524993,0.00078173954,0.0010220897,0.00023060183,0.0001700809,0.000017328022,0.0000042001384,0.00043550113],"genre_scores_gemma":[0.9977204,0.0016869807,0.000018596907,0.00010351241,0.000061640036,0.000009081277,8.495646e-7,0.000015243259,0.00038366055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983625,0.000068107336,0.00062059466,0.00013613889,0.000040235318,0.00077244424],"domain_scores_gemma":[0.99821424,0.0008198781,0.00065756607,0.0002134642,0.00004933541,0.00004550682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002797786,0.00012553357,0.00036164065,0.00006657047,0.00021172303,0.000077970224,0.00020630243,0.0000547766,0.000010506329],"category_scores_gemma":[0.0006857483,0.000077126184,0.00011375868,0.00010286074,0.00011125035,0.000099944235,0.000028954753,0.00072947145,0.0000029587698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014498775,0.00002850133,0.009490638,0.000023730629,0.00017722472,0.00000859818,0.002138052,0.0000017754226,0.000026138945,0.9005604,0.000004759958,0.08752573],"study_design_scores_gemma":[0.00096477184,0.00046327154,0.08860669,0.000053997377,0.000029273639,0.0004253102,0.0066360305,0.0012314606,0.000011596654,0.9009596,0.00039912292,0.00021883365],"about_ca_topic_score_codex":0.0022170336,"about_ca_topic_score_gemma":0.003943486,"teacher_disagreement_score":0.087306894,"about_ca_system_score_codex":0.00014856152,"about_ca_system_score_gemma":0.000222364,"threshold_uncertainty_score":0.33515063},"labels":[],"label_agreement":null},{"id":"W3123428088","doi":"10.22004/ag.econ.270994","title":"The Ins and Outs of UK Unemployment","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; University of Essex","keywords":"Unemployment; Economics; Quarter (Canadian coin); Recession; Great Moderation; Unemployment rate; Great recession; Labour economics; Moderation; Falling (accident); Full employment; Demographic economics; Panel data; Beveridge curve; Business cycle; Econometrics; Macroeconomics; Geography; Mathematics","score_opus":0.04042122474173425,"score_gpt":0.2982249562961121,"score_spread":0.25780373155437786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123428088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91273224,0.0007873577,0.0000070512297,0.0009989562,0.0008184865,0.0005885118,0.0004986743,0.000012945195,0.08355579],"genre_scores_gemma":[0.97713387,0.020252086,0.0002758598,0.000052454532,0.00012676792,0.000125711,0.000030548115,0.000049996255,0.0019527273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968918,0.000110376866,0.0013730263,0.000873791,0.0000879195,0.00066310284],"domain_scores_gemma":[0.9969532,0.0007503105,0.00062656315,0.0014095954,0.000101197904,0.00015913318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056897784,0.0002828692,0.00075536274,0.0003689699,0.00020339302,0.00022066363,0.0008726213,0.00053047744,0.000097076794],"category_scores_gemma":[0.0008633486,0.0002722886,0.0001736928,0.00012775943,0.00058696815,0.00005763182,0.0016262596,0.0019334799,0.0000107936585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014469314,0.0002591277,0.2739285,0.0003256601,0.00027509767,0.0000129600485,0.0007470567,0.00089529395,0.0000371412,0.6094872,0.000051543808,0.11383578],"study_design_scores_gemma":[0.001155537,0.0001536384,0.13168044,0.00015643406,0.000008967819,0.000004092527,0.00034032256,0.0182027,0.0000607158,0.7502021,0.09712837,0.00090665056],"about_ca_topic_score_codex":0.0006353403,"about_ca_topic_score_gemma":0.0018849442,"teacher_disagreement_score":0.14224805,"about_ca_system_score_codex":0.00035191237,"about_ca_system_score_gemma":0.00019682168,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W3123428128","doi":"","title":"Ability Bias and the Rising Education Premium in the United States: A Cohort Based Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Earnings; Educational attainment; Cohort; Cohort effect; Demographic economics; Economics; Rate of return; Demography; Labour economics; Econometrics; Statistics; Economic growth; Sociology; Mathematics","score_opus":0.021094968320751837,"score_gpt":0.24480311642118557,"score_spread":0.22370814810043374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123428128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859132,0.000048817208,0.002929869,0.003947613,0.00012177573,0.00031234193,0.000052406675,0.000011416585,0.006662529],"genre_scores_gemma":[0.99772847,0.000047396934,0.00032723,0.0016585035,0.000023899887,0.000039258208,0.000090621295,0.0000053277645,0.00007930187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989697,0.00013298409,0.00045671992,0.00026330946,0.00003852011,0.00013878096],"domain_scores_gemma":[0.9985474,0.00064221676,0.00018926257,0.0005384341,0.000052592117,0.000030125851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061687413,0.0000915749,0.00024462005,0.00025355196,0.000099284116,0.00016755235,0.00020510238,0.000059353988,0.0001658893],"category_scores_gemma":[0.00057677674,0.000055841567,0.00008491054,0.0012243541,0.00013167827,0.000080923244,0.000026742593,0.00022681383,0.0000043152913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016946964,0.00007847801,0.8119184,0.000006773393,0.00004418762,9.938723e-8,0.00040571042,0.00019458531,7.8607104e-7,0.1871096,0.000025044035,0.00019942672],"study_design_scores_gemma":[0.00032122736,0.0000047465214,0.72669464,0.0000013077902,0.00003316412,2.1633842e-7,0.0002176433,0.1911241,0.0000011511534,0.079089135,0.0024288935,0.000083748426],"about_ca_topic_score_codex":0.017238855,"about_ca_topic_score_gemma":0.004530196,"teacher_disagreement_score":0.1909295,"about_ca_system_score_codex":0.000031047603,"about_ca_system_score_gemma":0.000033414075,"threshold_uncertainty_score":0.98930544},"labels":[],"label_agreement":null},{"id":"W3123431914","doi":"10.2139/ssrn.951801","title":"Drive and Talent","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","score_opus":0.006828594520315112,"score_gpt":0.19216977466175172,"score_spread":0.1853411801414366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123431914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618578,0.008368615,0.014619263,0.0010302628,0.00020414722,0.0000625003,0.000024714016,0.000016598004,0.0138160875],"genre_scores_gemma":[0.99401677,0.003555343,0.00011883842,0.000081565064,0.00022871024,0.000002141833,0.000004449829,0.000014364739,0.001977792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834424,0.000014866833,0.00037286695,0.00018831142,0.000031604988,0.0010481267],"domain_scores_gemma":[0.99958146,0.000019461111,0.00021524804,0.000115138035,0.0000238925,0.00004477782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014830714,0.00009987837,0.00018715377,0.00009384513,0.00012822279,0.00007918629,0.0001166776,0.000054586842,0.000046752615],"category_scores_gemma":[0.000027921797,0.00010275643,0.00006761021,0.00009683211,0.000034676974,0.00013810783,0.000029952509,0.0005999742,0.000039112412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063724,0.000029932538,0.05320856,0.000002306672,0.000028299315,0.0000019905638,0.000016806061,0.00000948084,0.000008147811,0.9452605,0.00003387313,0.0013936824],"study_design_scores_gemma":[0.00037622248,0.000062611274,0.021816043,0.0000028871402,0.0000036984748,0.00008446753,0.00006707512,0.00028276807,0.00000329397,0.97020036,0.0069643813,0.00013619309],"about_ca_topic_score_codex":0.00039835958,"about_ca_topic_score_gemma":0.00064602756,"teacher_disagreement_score":0.032158982,"about_ca_system_score_codex":0.00037489683,"about_ca_system_score_gemma":0.00011626131,"threshold_uncertainty_score":0.41902855},"labels":[],"label_agreement":null},{"id":"W3123436593","doi":"10.1111/ecin.12077","title":"LABOR CONTRACTS AND FLEXIBILITY: EVIDENCE FROM A LABOR MARKET REFORM IN SPAIN","year":2014,"lang":"en","type":"preprint","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dismissal; Counterfactual thinking; Labour economics; Economics; Productivity; Labor demand; Flexibility (engineering); Panel data; Value (mathematics); Wage; Econometrics; Macroeconomics","score_opus":0.059769905460861875,"score_gpt":0.28128320490070013,"score_spread":0.22151329943983827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123436593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745983,0.0071346406,0.0003309457,0.002982533,0.0051320856,0.00071598985,0.0036731674,0.000079974714,0.00535236],"genre_scores_gemma":[0.9906429,0.004311536,0.0011113493,0.0013101756,0.0015695817,0.00014519214,0.00017770083,0.000089357425,0.0006422208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949055,0.00020917377,0.002131484,0.0020074628,0.00005592313,0.0006904727],"domain_scores_gemma":[0.9959172,0.0007370327,0.0013001302,0.0017540881,0.000051628635,0.00023993659],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058600386,0.0006243281,0.0017377434,0.0004021731,0.00008333375,0.00037687083,0.000783174,0.0008392262,0.0010121855],"category_scores_gemma":[0.00089003344,0.000748398,0.00021075716,0.00011191391,0.00027520437,0.00046048797,0.0010961661,0.0010553605,0.00031128307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088574557,0.00033426622,0.76286733,0.0009046196,0.0005439402,0.00007772309,0.0049590683,0.0016769895,0.000015284964,0.216028,0.0022805138,0.009426542],"study_design_scores_gemma":[0.0013047267,0.00006383819,0.5071447,0.0005750303,0.000024213075,0.0000025433324,0.00019713107,0.056112055,0.000011688512,0.41650596,0.016751464,0.0013066476],"about_ca_topic_score_codex":0.016902491,"about_ca_topic_score_gemma":0.0036613692,"teacher_disagreement_score":0.2557226,"about_ca_system_score_codex":0.0019639742,"about_ca_system_score_gemma":0.00022004379,"threshold_uncertainty_score":0.999901},"labels":[],"label_agreement":null},{"id":"W3123452044","doi":"10.3386/w18334","title":"Job Polarization and Jobless Recoveries","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":228,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Polarization (electrochemistry); Labour economics; Economics; Chemistry","score_opus":0.37726082383801895,"score_gpt":0.45320169479376887,"score_spread":0.07594087095574992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123452044","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051123902,0.0069528534,0.000054572298,0.00078349776,0.0014642983,0.0004996719,0.0023457105,0.00001969612,0.9367558],"genre_scores_gemma":[0.97580785,0.0051414412,0.00027714594,0.00002785288,0.0009579321,0.00005380051,0.00077218766,0.000064345484,0.01689743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99721193,0.00009599761,0.0012697345,0.00060312555,0.00035985993,0.00045937262],"domain_scores_gemma":[0.9972089,0.0005434206,0.0007839694,0.00037018425,0.0009522965,0.00014124686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011429097,0.00023228223,0.00075509615,0.000968622,0.00016089059,0.00014348773,0.00037016306,0.00053551974,0.00091071246],"category_scores_gemma":[0.0017256296,0.00027747196,0.00014328508,0.00022135902,0.0002628092,0.0004114344,0.00026569478,0.0006059751,0.00017490565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021820075,0.00004283227,0.10251917,0.00023067123,0.00012788558,5.4973947e-7,0.000050108196,0.000009388787,0.000006704024,0.8922306,0.0038746744,0.0008856234],"study_design_scores_gemma":[0.00027129208,0.000043542816,0.05283591,0.000053937474,0.000006816403,0.00000839848,0.000018514213,0.00017838797,0.000008514943,0.86495954,0.081310086,0.00030508655],"about_ca_topic_score_codex":0.0048997817,"about_ca_topic_score_gemma":0.00030817444,"teacher_disagreement_score":0.924684,"about_ca_system_score_codex":0.0014179334,"about_ca_system_score_gemma":0.0009323291,"threshold_uncertainty_score":0.99996775},"labels":[],"label_agreement":null},{"id":"W3123452979","doi":"","title":"Does Unemployment Hysteresis Equal Employment Hysteresis","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hysteresis; Unemployment; Economics; Unemployment rate; Labour economics; Unit (ring theory); Demographic economics; Unit root; Macroeconomics; Econometrics; Psychology; Condensed matter physics; Physics","score_opus":0.04635918517141078,"score_gpt":0.297208664533445,"score_spread":0.2508494793620342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123452979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8742044,0.0005299368,0.0000809923,0.0013208843,0.002272761,0.0015766403,0.0028141919,0.00011833683,0.11708186],"genre_scores_gemma":[0.9812871,0.0041226447,0.00078446016,0.0002045155,0.0005928553,0.0006523979,0.00040042144,0.00021528789,0.011740283],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920671,0.000376658,0.0029732035,0.0025430021,0.0002561291,0.001783921],"domain_scores_gemma":[0.9951567,0.0006431703,0.0010685866,0.0026206444,0.00015085492,0.0003600172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005333838,0.0008271861,0.0018347392,0.0013055073,0.00027522104,0.00065909565,0.0016848173,0.00094008504,0.0005021133],"category_scores_gemma":[0.0004086173,0.00078136916,0.00061304047,0.00031353493,0.0003431753,0.00021656715,0.002561545,0.0019882722,0.00012953843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048729772,0.0026395551,0.65659815,0.0019530661,0.0012595111,0.00028085805,0.0011014786,0.014944983,0.000037565933,0.17213842,0.0007142579,0.14784485],"study_design_scores_gemma":[0.003980389,0.0004292673,0.13946266,0.0010131389,0.00005115155,0.000007143263,0.000534195,0.022900632,0.00016959336,0.6553528,0.17139594,0.004703094],"about_ca_topic_score_codex":0.0033265408,"about_ca_topic_score_gemma":0.0031152442,"teacher_disagreement_score":0.5171355,"about_ca_system_score_codex":0.0030616892,"about_ca_system_score_gemma":0.00031275128,"threshold_uncertainty_score":0.99946374},"labels":[],"label_agreement":null},{"id":"W3123475129","doi":"","title":"Skill Heterogeneity and Equilibrium Unemployment","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Quarter (Canadian coin); Labour economics; Wage; Empirical evidence; Aggregate demand; Macroeconomics; Monetary policy","score_opus":0.04792255464216292,"score_gpt":0.30503795696365305,"score_spread":0.2571154023214901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123475129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90334713,0.0012544885,0.000012636828,0.00048296206,0.00083620317,0.0007260761,0.00068944856,0.00003727234,0.092613794],"genre_scores_gemma":[0.9835454,0.013339937,0.0006126926,0.00024068137,0.0001543932,0.00020385493,0.00009599383,0.000108829605,0.0016981892],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952581,0.00023898229,0.001512219,0.0017747496,0.000104503066,0.0011114384],"domain_scores_gemma":[0.9972267,0.00031454582,0.0004995927,0.0015419435,0.000082579376,0.00033459565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004895832,0.00048705586,0.0011333594,0.0006264502,0.00013205377,0.00035602562,0.000709482,0.0006722263,0.00014601348],"category_scores_gemma":[0.0005500857,0.00061086536,0.00025182974,0.00018206243,0.00034623363,0.00014768114,0.0017118806,0.0015974679,0.000034605342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017786332,0.00094649737,0.7003931,0.0009743423,0.00057987624,0.00010859595,0.0006366195,0.004926396,0.00004211332,0.2535379,0.00011221699,0.03756453],"study_design_scores_gemma":[0.0027594573,0.00030298578,0.14195569,0.00030921027,0.000019306917,0.000029042596,0.00022722772,0.026917761,0.00013975071,0.73213685,0.092316814,0.0028858995],"about_ca_topic_score_codex":0.0003097276,"about_ca_topic_score_gemma":0.0003850229,"teacher_disagreement_score":0.5584374,"about_ca_system_score_codex":0.0010882033,"about_ca_system_score_gemma":0.00019264268,"threshold_uncertainty_score":0.99963427},"labels":[],"label_agreement":null},{"id":"W3123510915","doi":"","title":"Two Sides of the Same Coin: U.S. \"Residual\" Inequality and the Gender Gap","year":2005,"lang":"en","type":"preprint","venue":"Project Muse (Johns Hopkins University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Wage inequality; Inequality; Cognitive skill; Economics; Labour economics; Cognition; Distribution (mathematics); Demographic economics; Psychology","score_opus":0.04726529056535716,"score_gpt":0.23743844622655458,"score_spread":0.1901731556611974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123510915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6333391,0.00012841246,0.00060493435,0.0017855631,0.0006243561,0.0013050055,0.0017524589,0.00006736422,0.36039278],"genre_scores_gemma":[0.922241,0.076592304,0.00042104116,0.00039314933,0.0001865207,0.0000069361568,0.000033282275,0.00003823261,0.00008757773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741995,0.000405085,0.0008018897,0.0008285312,0.0001401428,0.00040441015],"domain_scores_gemma":[0.9967259,0.0003701186,0.001254097,0.0014259681,0.0001509555,0.00007292442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019522142,0.00042854124,0.00095780607,0.0024894774,0.00024608363,0.000125473,0.0012158043,0.00032154733,0.00006649737],"category_scores_gemma":[0.00033620725,0.0003370176,0.000425346,0.0022629353,0.0005949699,0.00019425656,0.0022800073,0.0008514294,0.000008588207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003529006,0.00024646765,0.054934822,0.00047076258,0.0005965639,0.00001549711,0.0076843216,0.00047310608,7.327073e-7,0.9329708,0.00008895583,0.0021650463],"study_design_scores_gemma":[0.0080442,0.00006756409,0.044984095,0.00021425696,0.00038776427,0.0000125847255,0.0011521074,0.0051510585,0.00006031153,0.026658228,0.9115963,0.0016715566],"about_ca_topic_score_codex":0.12415576,"about_ca_topic_score_gemma":0.016282,"teacher_disagreement_score":0.9115073,"about_ca_system_score_codex":0.00028803744,"about_ca_system_score_gemma":0.0003297671,"threshold_uncertainty_score":0.9999082},"labels":[],"label_agreement":null},{"id":"W3123515478","doi":"","title":"Matching Skill and Tasks: Cyclical Fluctuations in the Overqualification of New Hires","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Matching (statistics); Task (project management); Economics; Percentage point; Beveridge curve; Point (geometry); Labour economics; Econometrics; Quality (philosophy); Production (economics); Unemployment rate; Microeconomics; Statistics; Mathematics; Macroeconomics; Finance","score_opus":0.046402306220587164,"score_gpt":0.3197501007608895,"score_spread":0.27334779454030234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123515478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628265,0.00043192896,0.00018868076,0.002570306,0.00021373405,0.0006147208,0.00051547773,0.00001087669,0.03262781],"genre_scores_gemma":[0.98979694,0.008814263,0.00042273052,0.00010394854,0.00014882095,0.00009397739,0.00005937131,0.00003284329,0.00052710366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971276,0.000228404,0.0013248582,0.0007706663,0.000096256896,0.00045223004],"domain_scores_gemma":[0.99725467,0.0010799473,0.00051358726,0.001007108,0.00004776717,0.00009691172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051973383,0.00022235472,0.0006100223,0.00056193175,0.00008576051,0.00014363947,0.0007013084,0.00035022988,0.00005421054],"category_scores_gemma":[0.00086131995,0.00019947435,0.00012381429,0.00017871619,0.0002162891,0.00014478699,0.00053538283,0.00087561185,0.000008323851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073508316,0.00023726308,0.0696707,0.00021766365,0.00007771827,0.0000060801704,0.004947809,0.00084924314,0.00004603738,0.87326723,0.000040146824,0.05056659],"study_design_scores_gemma":[0.0005544665,0.000028544457,0.19222786,0.00014387904,0.0000030494482,0.0000020226423,0.0007086209,0.0021771104,0.000007864397,0.8001583,0.0037020668,0.0002861924],"about_ca_topic_score_codex":0.0015469857,"about_ca_topic_score_gemma":0.0007266221,"teacher_disagreement_score":0.122557156,"about_ca_system_score_codex":0.0004204766,"about_ca_system_score_gemma":0.00019337203,"threshold_uncertainty_score":0.81343275},"labels":[],"label_agreement":null},{"id":"W3123653995","doi":"","title":"How do employment effects of job creation schemes differ with respect to the foregoing unemployment duration","year":2006,"lang":"en","type":"preprint","venue":"MADOC (University of Mannheim)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Spell; Employability; Matching (statistics); Labour economics; Duration (music); Estimation; Economics; Quarter (Canadian coin); Demographic economics; Propensity score matching; Economic growth; Geography; Sociology; Medicine","score_opus":0.015976593040922152,"score_gpt":0.1960192152046325,"score_spread":0.18004262216371036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123653995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9364147,0.00045193487,0.055391,0.0043653455,0.00021258743,0.00089636666,0.00028033953,0.000028632325,0.0019590477],"genre_scores_gemma":[0.9942486,0.00013616613,0.002528148,0.00003807254,0.000056948662,0.0000058462165,0.00008962392,0.000024194604,0.0028723753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987055,0.00006096391,0.00034086153,0.00052394334,0.00014529082,0.00022344744],"domain_scores_gemma":[0.9981752,0.0000943768,0.0008355424,0.00070485263,0.00013164335,0.00005838379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189443,0.00024647755,0.0005789464,0.00028651612,0.00014987399,0.000098046,0.0004773235,0.0001658912,0.000027259772],"category_scores_gemma":[0.000051985153,0.000240257,0.0001897932,0.00023650005,0.00009248604,0.00013872363,0.00047935828,0.00022338193,0.0000068452705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011668516,0.0009024814,0.44995555,0.0033975854,0.0017210244,0.00010761379,0.0063502043,0.0066048317,0.0002256114,0.5113194,0.005445719,0.012803115],"study_design_scores_gemma":[0.0024160263,0.0006835927,0.8994044,0.0009242158,0.00026887777,0.0000022436507,0.000608793,0.0061953063,0.0005888978,0.053038165,0.03475064,0.0011188579],"about_ca_topic_score_codex":0.0021338323,"about_ca_topic_score_gemma":0.0011023383,"teacher_disagreement_score":0.45828125,"about_ca_system_score_codex":0.00023868092,"about_ca_system_score_gemma":0.000036142075,"threshold_uncertainty_score":0.9797396},"labels":[],"label_agreement":null},{"id":"W3123658355","doi":"10.25071/1874-6322.32146","title":"Wage inequality in the Netherlands: Evidence, trends, and explanations","year":2014,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Wage inequality; Inequality; Wage; Labour economics","score_opus":0.033401037831170016,"score_gpt":0.2630492492425688,"score_spread":0.22964821141139877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123658355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97490305,0.0006527313,0.019988291,0.0032305494,0.00016966432,0.000039565475,0.0001928289,0.0000032588473,0.0008200736],"genre_scores_gemma":[0.9994161,0.00025039958,0.000055635428,0.000116497504,0.00010761393,0.0000024789113,0.000031431147,0.0000034357631,0.000016381886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988541,0.00013771367,0.0007206888,0.00010281862,0.00006388284,0.00012079201],"domain_scores_gemma":[0.9988754,0.0003035441,0.0005648891,0.00015522419,0.00006198383,0.000038984872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004952972,0.0000750196,0.0002372842,0.00013495427,0.00006433933,0.000076811746,0.00018351692,0.000056700894,0.000031894015],"category_scores_gemma":[0.0007188864,0.000056200257,0.00006758612,0.0003473189,0.000032494365,0.00029518997,0.000021485304,0.00019736054,0.0000034900454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003602097,0.000080827565,0.6198833,0.000017125245,0.000015304477,0.0000039379092,0.00032577995,0.000034347344,0.000005286393,0.37445328,0.00026202423,0.004882781],"study_design_scores_gemma":[0.00040701544,0.0000875587,0.9049629,0.00004214643,0.0000047930607,0.000014011241,0.00007395402,0.0016434557,0.0000028152504,0.08752185,0.0051571303,0.00008236629],"about_ca_topic_score_codex":0.000101127676,"about_ca_topic_score_gemma":0.00007276312,"teacher_disagreement_score":0.28693143,"about_ca_system_score_codex":0.000084135056,"about_ca_system_score_gemma":0.000010215595,"threshold_uncertainty_score":0.229178},"labels":[],"label_agreement":null},{"id":"W3123666395","doi":"","title":"The Impact of Employment Protection Mandates on Demographic Temporary Employment Patterns: International Microeconomic Evidence","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Wage; Microdata (statistics); Demographic economics; Immigration; Salary; Population; Multinomial logistic regression; Unemployment; Economics; Labour economics; Geography; Demography; Census; Economic growth","score_opus":0.05794167617444291,"score_gpt":0.3263086906411491,"score_spread":0.2683670144667062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123666395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863643,0.00076404895,0.000037570433,0.00083182217,0.000922938,0.0015282657,0.0012608471,0.00003115826,0.008259018],"genre_scores_gemma":[0.97963935,0.018505944,0.00006672264,0.000033062508,0.00024020429,0.00056901877,0.00016292221,0.00008218105,0.000700566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99537843,0.00025670894,0.0021243293,0.0013076264,0.00015211113,0.00078079064],"domain_scores_gemma":[0.9962675,0.00064700196,0.0013286012,0.0014771365,0.00014536417,0.00013440682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045228014,0.00049100607,0.00085985905,0.0010209732,0.00023817782,0.00041522025,0.001455849,0.00042091223,0.00010859559],"category_scores_gemma":[0.00038597526,0.00045376195,0.00063665037,0.00018456817,0.00030034353,0.00022525212,0.0010461694,0.0014567068,0.000020296766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005432753,0.0005836058,0.92332846,0.00016057944,0.0006423659,0.000013588607,0.00011949054,0.017772561,0.000049580634,0.005749607,0.000098948236,0.050937932],"study_design_scores_gemma":[0.001184925,0.00064925296,0.882243,0.0009891712,0.000010348331,0.00000683548,0.00009534407,0.02251607,0.000117690484,0.0863876,0.004767579,0.0010321927],"about_ca_topic_score_codex":0.008201122,"about_ca_topic_score_gemma":0.0012142212,"teacher_disagreement_score":0.08063799,"about_ca_system_score_codex":0.002570576,"about_ca_system_score_gemma":0.00030318688,"threshold_uncertainty_score":0.9997914},"labels":[],"label_agreement":null},{"id":"W3123675962","doi":"10.1017/s0770451800006138","title":"Labor supply dynamics, unemployment and experience in the labor market","year":2004,"lang":"en","type":"preprint","venue":"Recherches économiques de Louvain","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Labour economics; Unemployment; Shock (circulatory); Wage; Efficiency wage; Supply shock; Boom; Labor demand; Demand shock; Excess supply; Human capital; Supply and demand; Inequality; Split labor market theory; Secondary labor market; Labor relations; Monetary economics; Market economy; Macroeconomics","score_opus":0.09608777453647005,"score_gpt":0.3028892592649812,"score_spread":0.20680148472851118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123675962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670866,0.0044362466,0.0010966785,0.010425005,0.00038112147,0.0009751796,0.0017726776,0.00008636177,0.013740145],"genre_scores_gemma":[0.9818199,0.007849728,0.005713775,0.0023991512,0.00017527022,0.00050128676,0.00013252195,0.00008527274,0.0013230417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996202,0.0005640635,0.0012978668,0.0011692703,0.000055508353,0.00071132375],"domain_scores_gemma":[0.99731183,0.00070230465,0.00063967326,0.0011316426,0.00005975959,0.00015480067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006561806,0.0005626822,0.0009710029,0.0002910748,0.000088070396,0.0004757133,0.001084025,0.00091275986,0.00018780667],"category_scores_gemma":[0.00081468467,0.00056186406,0.00019485438,0.0002945343,0.00024942998,0.00017201144,0.00065218547,0.0015348279,0.000023612642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007293692,0.00021737056,0.4549223,0.0003245624,0.000079050886,0.00004003425,0.008275332,0.00029537006,0.0000020616687,0.532996,0.00018369939,0.0025912684],"study_design_scores_gemma":[0.000610227,0.000060164635,0.20376171,0.00021378044,0.000012809924,0.000009637468,0.0007376809,0.021511644,0.000015763659,0.7664472,0.0058514886,0.00076793245],"about_ca_topic_score_codex":0.011938003,"about_ca_topic_score_gemma":0.0039247936,"teacher_disagreement_score":0.2511606,"about_ca_system_score_codex":0.0033702147,"about_ca_system_score_gemma":0.00037163272,"threshold_uncertainty_score":0.99968326},"labels":[],"label_agreement":null},{"id":"W3123680836","doi":"","title":"Gender Wage Differentials, Job Search, and Part-Time Employment in the UK","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Western University","funders":"","keywords":"Wage; Labour economics; Economics; Work (physics); Efficiency wage; Demographic economics","score_opus":0.023166242542715196,"score_gpt":0.2346173542207602,"score_spread":0.21145111167804498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123680836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892354,0.004498949,0.001225954,0.0020592213,0.00009252528,0.00013378085,0.00002219053,0.000008501202,0.0027234792],"genre_scores_gemma":[0.9919376,0.0068051093,0.000020311647,0.0004538009,0.00016526133,0.0000030630156,0.000005488815,0.000011301178,0.0005981099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774027,0.00009887135,0.00049774395,0.0002446668,0.000079850885,0.0013385954],"domain_scores_gemma":[0.99952394,0.00004477649,0.00012955687,0.00022016447,0.000019075818,0.00006246446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041469834,0.00014500963,0.0002680477,0.00013236448,0.00015590861,0.00016101067,0.00029535854,0.000069135545,0.00012717905],"category_scores_gemma":[0.00004171355,0.000114518654,0.00008779933,0.00016341239,0.00003084871,0.00011577526,0.000031929336,0.0010332243,0.00003508589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033613982,0.00009658472,0.043810304,0.0000023392054,0.000054044496,0.000006782896,0.00039925924,0.00001530172,0.000018068527,0.95046294,0.00004517924,0.0050556017],"study_design_scores_gemma":[0.0006083252,0.00021276416,0.18508136,0.0000059113104,0.000006294215,0.000057852605,0.00019337321,0.00041872333,0.0000021373082,0.8123277,0.00091413275,0.00017144768],"about_ca_topic_score_codex":0.00016311168,"about_ca_topic_score_gemma":0.000433453,"teacher_disagreement_score":0.14127105,"about_ca_system_score_codex":0.00033598178,"about_ca_system_score_gemma":0.00013771538,"threshold_uncertainty_score":0.4669935},"labels":[],"label_agreement":null},{"id":"W3123687096","doi":"10.2139/ssrn.3357588","title":"On the Evolution of Multiple Jobholding in Canada","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University; Université du Québec à Montréal; Bank of Canada","funders":"","keywords":"Political science; Geography","score_opus":0.008336553026238399,"score_gpt":0.17938572696568883,"score_spread":0.17104917393945043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123687096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947363,0.00083116675,0.0007622156,0.0005274534,0.000259237,0.000086927284,0.000021427717,0.0000015157644,0.0027737634],"genre_scores_gemma":[0.99933845,0.00030085607,0.0000060266834,0.0000705115,0.000025849615,0.0000016185365,9.858535e-7,0.000008491353,0.00024720666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986746,0.00003071432,0.00039672572,0.00012427095,0.000050755247,0.00072295143],"domain_scores_gemma":[0.9993677,0.00014444438,0.00027957407,0.00016608463,0.00002119521,0.000020999852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224542,0.000070342314,0.00017792828,0.00008947803,0.00004170123,0.000013143303,0.00020861444,0.000028620663,0.000079035446],"category_scores_gemma":[0.000170338,0.000058143632,0.000051101106,0.00018493897,0.000008725086,0.00006994257,0.00001882899,0.0007066014,0.000016313665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000127413505,0.000010809293,0.33763292,0.0000021257645,0.000014285327,2.801133e-7,0.000014783957,0.00046248542,0.000012461676,0.6616711,0.0000057204684,0.00016025786],"study_design_scores_gemma":[0.0004538969,0.000059521528,0.07915699,0.000015056648,0.0000011812011,0.000006115228,0.00081334903,0.0069601377,0.00000816749,0.9122401,0.00018821727,0.0000972748],"about_ca_topic_score_codex":0.69556,"about_ca_topic_score_gemma":0.89014894,"teacher_disagreement_score":0.25847593,"about_ca_system_score_codex":0.0049821767,"about_ca_system_score_gemma":0.0016227872,"threshold_uncertainty_score":0.99883753},"labels":[],"label_agreement":null},{"id":"W3123689944","doi":"10.2139/ssrn.1395077","title":"Wages and Seniority When Coworkers Matter: Estimating a Joint Production Economy Using Norwegian Administrative Data","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Seniority; Norwegian; Joint (building); Production (economics); Economics; Economy; Political science; Macroeconomics; Engineering; Civil engineering; Law","score_opus":0.05612500613129187,"score_gpt":0.2766151343344245,"score_spread":0.2204901282031326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123689944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93702316,0.0016134477,0.052078877,0.0058658742,0.000438307,0.000247492,0.000084415035,0.000027022483,0.0026214232],"genre_scores_gemma":[0.99255335,0.00039928962,0.0061331894,0.00018660187,0.00045202425,0.0000014544966,0.000023660774,0.000017697665,0.00023274685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976385,0.00006511748,0.0006658126,0.0005171112,0.000041960215,0.0010715014],"domain_scores_gemma":[0.9987913,0.000020362098,0.0006085405,0.000431242,0.000049488088,0.00009911361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039857947,0.00019390784,0.00036411636,0.00013512757,0.00031627482,0.00025770834,0.00028431468,0.00008018549,0.00004381104],"category_scores_gemma":[0.00016525794,0.00020841473,0.000058528927,0.00011579809,0.000055417848,0.0007952065,0.00007903103,0.0009595677,0.000014694409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011886357,0.0003275739,0.12743492,0.000078560835,0.00058388524,0.000019229668,0.0017152119,0.00045505314,0.00009460866,0.8205269,0.00037520422,0.04826997],"study_design_scores_gemma":[0.00040388823,0.00015290045,0.017343987,0.000034317305,0.000024433773,0.00039599757,0.000569722,0.019348126,0.0000061395867,0.96066445,0.00071849173,0.00033755906],"about_ca_topic_score_codex":0.00014298302,"about_ca_topic_score_gemma":0.00016889756,"teacher_disagreement_score":0.14013752,"about_ca_system_score_codex":0.0006204806,"about_ca_system_score_gemma":0.00036884428,"threshold_uncertainty_score":0.8498906},"labels":[],"label_agreement":null},{"id":"W3123772990","doi":"10.17016/ifdp.2017.1192","title":"Complex-Task Biased Technological Change and the Labor Market","year":2017,"lang":"en","type":"article","venue":"International Finance Discussion Paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Task (project management); Wage; Set (abstract data type); Contrast (vision); Principal (computer security); Computer science; Order (exchange); Technological change; Labour economics; Econometrics; Economics; Artificial intelligence; Computer security; Management","score_opus":0.05404706995644488,"score_gpt":0.2690748223172665,"score_spread":0.2150277523608216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123772990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5572426,0.0009552933,0.000773375,0.32223812,0.0018872116,0.0007103784,0.0019288767,0.00009473983,0.11416944],"genre_scores_gemma":[0.9914707,0.0009571316,0.00024624795,0.0019690935,0.00014191505,0.000105402265,0.000023776629,0.000012891935,0.005072829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989467,0.000028482757,0.00038550305,0.00037449546,0.00007624073,0.00018855235],"domain_scores_gemma":[0.9988521,0.000078899466,0.00041108494,0.0005760107,0.000048927006,0.000033002063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009272319,0.00014375726,0.00026743763,0.000061035,0.0004171652,0.0002640702,0.000738672,0.000102602826,0.00090627745],"category_scores_gemma":[0.00059237226,0.00007724346,0.00009357961,0.00005237149,0.0004756092,0.00039588043,0.00034286783,0.00017292106,0.000074488584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001137677,0.00005139109,0.07803159,0.000004982235,0.000024807232,0.0000068170275,0.000089831214,5.6123514e-7,0.000018667899,0.91037166,0.00096720597,0.0103187105],"study_design_scores_gemma":[0.0009844111,0.0000081458675,0.568923,0.000019352772,0.0000020814116,0.0000026690236,0.000019298954,0.0024020495,0.000002521495,0.1719118,0.25559863,0.00012604467],"about_ca_topic_score_codex":0.00017615467,"about_ca_topic_score_gemma":0.000045373632,"teacher_disagreement_score":0.7384599,"about_ca_system_score_codex":0.000037038855,"about_ca_system_score_gemma":0.0000064125247,"threshold_uncertainty_score":0.9923102},"labels":[],"label_agreement":null},{"id":"W3123812449","doi":"10.2139/ssrn.2872260","title":"Employer Learning, Productivity and the Earnings Distribution: Evidence from Performance Measures","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Productivity; Distribution (mathematics); Economics; Econometrics; Business; Accounting; Labour economics; Mathematics; Macroeconomics","score_opus":0.01532095611985844,"score_gpt":0.20299662432955465,"score_spread":0.18767566820969622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123812449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692834,0.0093326755,0.016618839,0.0041194023,0.00016852717,0.00018113598,0.000010167901,0.000022453012,0.00026338515],"genre_scores_gemma":[0.9858906,0.01217992,0.00002746825,0.000044792363,0.00027307845,0.00002127366,0.0000061242085,0.00001528482,0.0015414379],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980367,0.00014049112,0.0004240785,0.00031437827,0.00008792945,0.0009964549],"domain_scores_gemma":[0.9990257,0.00016679312,0.00040995522,0.00022322642,0.000109428016,0.000064882384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053372704,0.00015080102,0.0002912591,0.000037199858,0.00047096817,0.00024656203,0.00027203053,0.00006619652,0.00010339942],"category_scores_gemma":[0.0010117863,0.0001120862,0.00008796951,0.00015656036,0.00016536463,0.00065570214,0.00007640666,0.0017174779,0.00009734108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008846716,0.000028433491,0.7460392,0.000007190755,0.00013979997,3.7965305e-7,0.00040172812,0.00007226935,0.000017436221,0.23426637,0.000051030194,0.018887669],"study_design_scores_gemma":[0.00081050274,0.00012923061,0.4104876,0.000028904667,0.000015983156,0.000041425737,0.00016625373,0.0023109936,0.000011838889,0.5797804,0.0059736073,0.00024324644],"about_ca_topic_score_codex":0.00190736,"about_ca_topic_score_gemma":0.00024511226,"teacher_disagreement_score":0.34551406,"about_ca_system_score_codex":0.00034046103,"about_ca_system_score_gemma":0.00017370695,"threshold_uncertainty_score":0.74616826},"labels":[],"label_agreement":null},{"id":"W3123827912","doi":"10.2307/2696054","title":"Early Retirement Programs and Wage Restraint: Empirical Evidence from France","year":2002,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Unemployment; Subsidy; Labour economics; Wage; Government (linguistics); Unit (ring theory); Empirical evidence; Macroeconomics; Market economy","score_opus":0.21036438669088892,"score_gpt":0.29271928372939926,"score_spread":0.08235489703851034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123827912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72737753,0.25587565,0.000059895796,0.013373654,0.00021478221,0.000663313,0.00023700733,0.00003739479,0.0021607867],"genre_scores_gemma":[0.89608985,0.100185744,0.0004490036,0.0007271785,0.0002292077,0.00007269439,0.000028040373,0.000017924258,0.0022003301],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843466,0.00008075342,0.0007617127,0.00045084572,0.00006618314,0.00020584505],"domain_scores_gemma":[0.99904513,0.00017279167,0.00028794972,0.00031518916,0.000044981727,0.00013395304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074280414,0.00016401018,0.0004510516,0.000050235132,0.00014670801,0.000113604765,0.00012396871,0.00017262598,0.0013881439],"category_scores_gemma":[0.0007114766,0.00015512796,0.00006523746,0.00041606263,0.000098746386,0.00027072732,0.0000616537,0.00033524755,0.00017600463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009544064,0.000105972606,0.8635732,0.00012686853,0.00006727923,0.000010506752,0.00036627843,0.0000011744004,0.0000014948741,0.048471846,0.0025481447,0.084717676],"study_design_scores_gemma":[0.0012558387,0.00022446856,0.37825927,0.004643908,0.00009664486,0.000004414408,0.000014316698,0.0013697514,0.0000010994854,0.029003393,0.58443964,0.0006872804],"about_ca_topic_score_codex":0.00043305967,"about_ca_topic_score_gemma":0.000020929372,"teacher_disagreement_score":0.5818915,"about_ca_system_score_codex":0.000036734178,"about_ca_system_score_gemma":0.000011790109,"threshold_uncertainty_score":0.9995247},"labels":[],"label_agreement":null},{"id":"W3123831203","doi":"","title":"Experimenting with Entrepreneurship: The Effect of Job-Protected Leave","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Job creation; Labour economics; Face (sociological concept); Wage; Business; Wage growth; Demographic economics; Economics; Finance; Sociology","score_opus":0.02798537884739499,"score_gpt":0.2813842667826372,"score_spread":0.25339888793524223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123831203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9205282,0.00048738567,0.000041203948,0.00044584332,0.0003652721,0.0013188173,0.00030606036,0.00003202084,0.07647523],"genre_scores_gemma":[0.9965158,0.0014145873,0.00013044802,0.000024493182,0.00018628853,0.0004756954,0.000024127583,0.00009040422,0.0011381157],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959439,0.000482637,0.0013127032,0.0012422071,0.00013665177,0.00088192],"domain_scores_gemma":[0.99562854,0.0013550913,0.00091008545,0.0018762882,0.000099018675,0.00013099088],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058874786,0.00043918873,0.0011274533,0.0004954283,0.00016807998,0.00017153888,0.0011854472,0.00042469037,0.00017931472],"category_scores_gemma":[0.0009977462,0.0003172135,0.00028328263,0.0002259934,0.0004981075,0.000110688154,0.0012046674,0.0013951431,0.000019165873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012697135,0.00019801542,0.8634498,0.000943447,0.00081626704,0.00005172993,0.0012261875,0.0019790435,0.0003874409,0.065863796,0.00002143426,0.06379312],"study_design_scores_gemma":[0.021435432,0.005460614,0.38089365,0.005668407,0.0001483456,0.00006961867,0.0015545667,0.02650453,0.023009134,0.49414015,0.032934427,0.008181113],"about_ca_topic_score_codex":0.00032114302,"about_ca_topic_score_gemma":0.00014933108,"teacher_disagreement_score":0.48255613,"about_ca_system_score_codex":0.0006200476,"about_ca_system_score_gemma":0.00014572643,"threshold_uncertainty_score":0.999928},"labels":[],"label_agreement":null},{"id":"W3123839216","doi":"10.17016/feds.2013.19","title":"The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market","year":2013,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consensus forecast; Survey of Professional Forecasters; Recession; Economics; Unemployment; Quarter (Canadian coin); Forecast error; Econometrics; Forecast period; Nowcasting; Real-time data; Finance; Computer science; Macroeconomics; Monetary policy; Meteorology; Geography","score_opus":0.02835469802750798,"score_gpt":0.21764388153671443,"score_spread":0.18928918350920645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123839216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894931,0.00082400296,0.00015824869,0.00739898,0.00031171678,0.00044732378,0.00042127818,0.000015928803,0.0009294221],"genre_scores_gemma":[0.9940727,0.0019323915,0.0009884444,0.00036071238,0.00007584131,0.000075423915,0.0000058647847,0.000039318304,0.002449318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984652,0.000027208162,0.00073303183,0.00038362213,0.000027593454,0.00036336228],"domain_scores_gemma":[0.998889,0.00013088401,0.00043194197,0.00040954197,0.00005929832,0.00007932532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074723223,0.00021314321,0.00039759194,0.00006771849,0.00046053075,0.00027555256,0.00025315327,0.00008328759,0.000047539943],"category_scores_gemma":[0.00013743975,0.000121213365,0.00006540636,0.00017889083,0.00014069055,0.00056854694,0.00030232657,0.00011740187,0.000008850917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030694637,0.00008800746,0.25043723,0.00018751557,0.00014911499,0.0000018922171,0.004879524,0.001486295,0.00009426373,0.6914625,0.0012943383,0.049612373],"study_design_scores_gemma":[0.0011080004,0.00029812826,0.22571298,0.0001816964,0.000025543448,0.000019611058,0.0031899763,0.17956334,0.00016264169,0.38012964,0.20864613,0.00096229406],"about_ca_topic_score_codex":0.00029628174,"about_ca_topic_score_gemma":0.0006371738,"teacher_disagreement_score":0.31133285,"about_ca_system_score_codex":0.000044767312,"about_ca_system_score_gemma":0.00002658127,"threshold_uncertainty_score":0.49429375},"labels":[],"label_agreement":null},{"id":"W3123981110","doi":"","title":"Do Earnings Subsidies Affect Job Choice","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn; Sage Foundation","keywords":"Subsidy; Affect (linguistics); Earnings; Wage; Labour economics; Economics; Wage growth; Reservation wage; Duration (music); Earnings growth; Turnover; Reservation; Psychology","score_opus":0.04682223185258139,"score_gpt":0.3104478706483657,"score_spread":0.2636256387957843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123981110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8075136,0.0012507311,0.000026382806,0.000725376,0.0010832112,0.0008455412,0.0005317116,0.000083727624,0.1879397],"genre_scores_gemma":[0.98045015,0.0145960115,0.00040015797,0.000116306896,0.00048415764,0.00030108634,0.000119628414,0.00015922077,0.0033732494],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99426705,0.00024254854,0.0017403902,0.0021068004,0.00016097506,0.0014822347],"domain_scores_gemma":[0.9959973,0.0007635375,0.0008013742,0.001966229,0.00014380089,0.00032777013],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006491353,0.0006404219,0.0015156972,0.0011992912,0.0002823108,0.0006045961,0.0015002275,0.00097021385,0.0004452382],"category_scores_gemma":[0.0023073882,0.00080032926,0.00050444854,0.0003666885,0.00043033445,0.00024472075,0.0019486392,0.0033328908,0.00017989623],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015510427,0.00046534528,0.7320655,0.0010578606,0.00048309323,0.00013964655,0.0014788606,0.020367602,0.000017435923,0.21781284,0.0000701609,0.025886571],"study_design_scores_gemma":[0.0024379373,0.00023802284,0.45486587,0.0006901845,0.000016787648,0.000016919914,0.00038018997,0.005562871,0.000027726486,0.4683953,0.06496959,0.0023986115],"about_ca_topic_score_codex":0.0016955892,"about_ca_topic_score_gemma":0.0011696779,"teacher_disagreement_score":0.27719963,"about_ca_system_score_codex":0.0025965148,"about_ca_system_score_gemma":0.0004766548,"threshold_uncertainty_score":0.9994448},"labels":[],"label_agreement":null},{"id":"W3123992264","doi":"10.1257/aer.20190690","title":"Employer Consolidation and Wages: Evidence from Hospitals","year":2021,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":207,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Wage growth; Consolidation (business); Economics; Wage; Labour economics; Market power; Efficiency wage; Market economy","score_opus":0.03429196828602122,"score_gpt":0.2760683595744955,"score_spread":0.24177639128847428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123992264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.754728,0.23266278,0.00059538294,0.0053577377,0.000297308,0.0002466484,0.00036466587,0.000034196222,0.0057132235],"genre_scores_gemma":[0.61821294,0.37736273,0.00097301387,0.0030601486,0.0000729933,0.000030994343,0.000050995677,0.000020152802,0.00021602078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821925,0.00007231833,0.0008392531,0.00062925264,0.000021584385,0.00021831166],"domain_scores_gemma":[0.99835837,0.00027512482,0.00063746073,0.00058571505,0.00003355514,0.00010975765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006970075,0.00017532529,0.00083165336,0.000040321826,0.00005505635,0.00010013163,0.00017328055,0.000034726756,0.0012547211],"category_scores_gemma":[0.00045412683,0.00020078146,0.0001238912,0.00013888131,0.00014618241,0.00033455598,0.00011224571,0.000102436206,0.0006748196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012742413,0.00007080481,0.6901307,0.00081757555,0.00033977552,0.00003278124,0.0002741521,0.000010122021,0.000038514638,0.14184658,0.0056720446,0.16075422],"study_design_scores_gemma":[0.00070535333,0.00016231455,0.54906243,0.0031759508,0.00013381161,0.000030703748,0.00018339249,0.0010369373,0.0001096357,0.10241507,0.3412851,0.0016992873],"about_ca_topic_score_codex":0.0014036376,"about_ca_topic_score_gemma":0.00011024267,"teacher_disagreement_score":0.33561307,"about_ca_system_score_codex":0.0001214318,"about_ca_system_score_gemma":0.000055892473,"threshold_uncertainty_score":0.9996583},"labels":[],"label_agreement":null},{"id":"W3124031363","doi":"","title":"Summary Of: The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers' Earnings in Canada","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economics; Unemployment; Inequality; Labour economics; Earnings growth; Short run; Economic inequality; Demographic economics; Monetary economics; Macroeconomics; Finance","score_opus":0.027204025431696987,"score_gpt":0.28448506910438764,"score_spread":0.25728104367269067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124031363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97874695,0.00017655647,0.0000011360005,0.00035599366,0.0001851105,0.0008448116,0.003693703,0.0000032636947,0.015992453],"genre_scores_gemma":[0.99856985,0.0010708118,0.000018372684,0.000026545098,0.000024810832,0.00006847221,0.00006373229,0.000032337066,0.00012504357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960137,0.00046410618,0.0021472343,0.0007404142,0.00010465432,0.0005298614],"domain_scores_gemma":[0.9950636,0.0017690585,0.0014634292,0.0015082341,0.000109044144,0.00008665445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0053364746,0.00031397594,0.0011670887,0.00037725474,0.000087710134,0.00003683591,0.00093866827,0.0002821523,0.00011744037],"category_scores_gemma":[0.0010434412,0.00026098796,0.00032842095,0.0003047712,0.000702018,0.00007902087,0.0009789114,0.0014712686,5.614631e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010033201,0.00016468375,0.97109646,0.00023015805,0.00010097957,0.0000017994245,0.00015464157,0.01949515,0.0000059610584,0.00752011,0.000029489573,0.0011002312],"study_design_scores_gemma":[0.00042561855,0.000047232297,0.96852213,0.0002023659,0.0000035510254,6.2083495e-7,0.00018286085,0.003998653,0.000026854765,0.02629283,0.00007492104,0.0002223879],"about_ca_topic_score_codex":0.77744466,"about_ca_topic_score_gemma":0.694928,"teacher_disagreement_score":0.08251665,"about_ca_system_score_codex":0.002731014,"about_ca_system_score_gemma":0.0021415048,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W3124031940","doi":"","title":"Education, Mobility and the College Wage Premium","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wage; Economics; Shock (circulatory); Wage dispersion; Labour economics; Geographic mobility; Labor mobility; Dispersion (optics); Occupational mobility; Efficiency wage; Social mobility; Demographic economics; Sociology; Population","score_opus":0.02363757923487198,"score_gpt":0.28149449524474596,"score_spread":0.257856916009874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124031940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70122,0.0016088942,0.0000092986775,0.0017879064,0.0008639659,0.0015002616,0.001233104,0.000028533821,0.29174808],"genre_scores_gemma":[0.9837284,0.0075892434,0.00037861365,0.00022061545,0.00031938907,0.0006501296,0.00013358399,0.000063805244,0.0069162003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604434,0.00033112397,0.0014926757,0.0013341395,0.000090234455,0.00070747046],"domain_scores_gemma":[0.9965647,0.000865579,0.0005525558,0.0017193552,0.00014397367,0.00015386734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008591692,0.00036641778,0.00097218587,0.00042631317,0.0002711292,0.00029709548,0.0009029045,0.0005144203,0.00010603685],"category_scores_gemma":[0.0010209193,0.00035452133,0.0002310219,0.00022010776,0.0008667591,0.00012854645,0.0013835735,0.0016641163,0.000015742238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023757742,0.0006339983,0.103916295,0.00038708153,0.00013654414,0.000006421098,0.0004484703,0.0011100669,0.0000012206917,0.86393005,0.0004188496,0.028773436],"study_design_scores_gemma":[0.0016119495,0.00003155013,0.111514166,0.000097627155,0.000008760553,0.0000054430866,0.00027801454,0.015588944,0.0000036744218,0.8101148,0.06008184,0.00066325575],"about_ca_topic_score_codex":0.0025915578,"about_ca_topic_score_gemma":0.0012146449,"teacher_disagreement_score":0.28483188,"about_ca_system_score_codex":0.0010104156,"about_ca_system_score_gemma":0.00058717915,"threshold_uncertainty_score":0.9998907},"labels":[],"label_agreement":null},{"id":"W3124036397","doi":"","title":"The Micro and Macro of Disappearing Routine Jobs: A Flows Approach","year":2014,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Demographics; Demographic economics; Download; Micro level; Unemployment; Wage; Polarization (electrochemistry); Labour economics; Economics; Per capita; Developing country; Macro level; Demography; Economic growth; Population","score_opus":0.06381525911260613,"score_gpt":0.24223285801046918,"score_spread":0.17841759889786304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124036397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922303,0.00045447872,0.0035652015,0.0011284624,0.000041023337,0.00019863553,0.000025735926,0.000008279287,0.0023478915],"genre_scores_gemma":[0.99846226,0.000704672,0.00063962705,0.000013710704,0.000033036238,0.0000010946418,0.000003978208,0.0000106217085,0.00013099106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988819,0.0001700713,0.00026001967,0.00027086565,0.00010953825,0.00030761893],"domain_scores_gemma":[0.99870014,0.00043252023,0.00016929723,0.00053666503,0.000094826704,0.00006654162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003973369,0.00009143936,0.00025736773,0.000103599974,0.0003701971,0.00004409127,0.0005976162,0.00005868659,0.000019585512],"category_scores_gemma":[0.0002085248,0.0000732363,0.00008500923,0.00024312106,0.000498724,0.00012608437,0.0004752921,0.00025494082,0.000017717173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044313067,0.00036154882,0.27351516,0.0006168844,0.00031661402,0.0000050917683,0.05296867,0.00014593483,0.0006385822,0.65753573,0.0006000164,0.012852601],"study_design_scores_gemma":[0.003210528,0.00039485272,0.6313836,0.00016530589,0.000034080767,0.000007771202,0.032367103,0.0665442,0.00033983332,0.16187301,0.1030187,0.00066098815],"about_ca_topic_score_codex":0.00012800835,"about_ca_topic_score_gemma":0.000014277893,"teacher_disagreement_score":0.49566272,"about_ca_system_score_codex":0.000051695435,"about_ca_system_score_gemma":0.000014837495,"threshold_uncertainty_score":0.29864895},"labels":[],"label_agreement":null},{"id":"W3124055860","doi":"","title":"The Impact of Minimum Wages on Wages, Wage Spillovers, and Employment in China: Evidence from Longitudinal Individual-Level Data","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"National Office for Philosophy and Social Sciences","keywords":"Minimum wage; Wage; Economics; Efficiency wage; Labour economics; Percentage point; Point (geometry); Low wage; Distribution (mathematics); China; Demographic economics; Geography; Mathematics","score_opus":0.16736519394373978,"score_gpt":0.34694082717237684,"score_spread":0.17957563322863707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124055860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907338,0.0012819639,0.000006648793,0.00162346,0.00009646113,0.0004079281,0.002957586,0.0000094907045,0.0028826487],"genre_scores_gemma":[0.9795853,0.019875154,0.00015865202,0.000061625346,0.00008634173,0.000020464231,0.00009353205,0.000032902404,0.00008605734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970285,0.00017082768,0.0010274341,0.0010193822,0.00012759895,0.00062623195],"domain_scores_gemma":[0.9967659,0.0014477618,0.00034493394,0.0012116352,0.000030514708,0.0001992537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003982513,0.00025258985,0.00061399734,0.00022780857,0.00013823199,0.00019978898,0.0012516378,0.00014545427,0.00008130064],"category_scores_gemma":[0.002236286,0.00022112193,0.00010468911,0.00030793643,0.000283403,0.00039072227,0.0010867586,0.0006588177,0.000011243305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004067687,0.00017938821,0.950166,0.000034538763,0.00018130118,0.000033900866,0.00094623404,0.00080462795,0.000050521987,0.004692626,0.00013400044,0.04237008],"study_design_scores_gemma":[0.00081324496,0.00032490748,0.9788172,0.000097916294,0.0000037061309,9.4199146e-7,0.00020462366,0.0128995245,0.000022085424,0.0057153553,0.00083763606,0.0002628042],"about_ca_topic_score_codex":0.0042958693,"about_ca_topic_score_gemma":0.0015175284,"teacher_disagreement_score":0.042107277,"about_ca_system_score_codex":0.00039670712,"about_ca_system_score_gemma":0.00013567493,"threshold_uncertainty_score":0.901709},"labels":[],"label_agreement":null},{"id":"W3124104470","doi":"","title":"Returning to the Returns to Computer Use","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Desk; Control (management); Selection (genetic algorithm); Instrumental variable; Labour economics; Business; Economics; Actuarial science; Computer science; Econometrics; Management; Artificial intelligence","score_opus":0.018530421100191662,"score_gpt":0.22332996827956905,"score_spread":0.2047995471793774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124104470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8737282,0.000710618,0.09735738,0.026116412,0.00056015205,0.00020236665,0.000034416782,0.000028401859,0.0012620651],"genre_scores_gemma":[0.9891753,0.00051173853,0.0020618162,0.004175715,0.0012772982,0.000006083088,0.0000028599663,0.000028236738,0.0027609232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974531,0.000044556076,0.00054865185,0.00029013742,0.000069263624,0.0015942887],"domain_scores_gemma":[0.9991535,0.00006851037,0.00020840165,0.00034841907,0.000061886865,0.00015927794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036151088,0.00015167343,0.00024640776,0.00015948388,0.00025672503,0.00029486555,0.00048099633,0.000064437256,0.000078415236],"category_scores_gemma":[0.00017691353,0.0001242228,0.00012895669,0.00032984503,0.000012992573,0.00027404787,0.0001075505,0.0011919402,0.0004774592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036837453,0.0000370464,0.012091156,0.0000017548593,0.000088894216,0.0000019725355,0.00069992273,0.0018287956,0.000010548325,0.97016054,0.0012830966,0.013759427],"study_design_scores_gemma":[0.00064082514,0.00042194626,0.023755036,0.000025462195,0.000012740774,0.00018269537,0.00026883878,0.007861657,0.000012243173,0.4083653,0.5578522,0.00060105306],"about_ca_topic_score_codex":0.00014354722,"about_ca_topic_score_gemma":0.002908346,"teacher_disagreement_score":0.56179523,"about_ca_system_score_codex":0.0009109211,"about_ca_system_score_gemma":0.00016671844,"threshold_uncertainty_score":0.6136931},"labels":[],"label_agreement":null},{"id":"W3124195753","doi":"10.2139/ssrn.385127","title":"Delays in Renewal of Labor Contracts: Theory and Evidence","year":2003,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Wage; Empirical evidence; Private sector; Labour economics; Econometrics","score_opus":0.019243037074158042,"score_gpt":0.24630266673750217,"score_spread":0.22705962966334414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124195753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8794074,0.113411546,0.0045698686,0.00047848636,0.00043745057,0.00019941083,0.000105986954,0.000007569903,0.0013822815],"genre_scores_gemma":[0.91057044,0.08865595,0.00015164226,0.00010472018,0.00008581912,0.000008774262,0.0000043547757,0.000028965063,0.00038933384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966207,0.00025439155,0.0012502978,0.00046918885,0.00007216487,0.001333219],"domain_scores_gemma":[0.9978691,0.00033574714,0.0012333569,0.00038014294,0.00009911412,0.00008255629],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014892332,0.00026076238,0.00077376945,0.0003137509,0.00005649586,0.000082900144,0.00040332874,0.00032628526,0.00004579748],"category_scores_gemma":[0.0013515699,0.00027994683,0.00015196807,0.00018892674,0.00008687238,0.00017311411,0.00016570253,0.0029369164,0.0000047152776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013296834,0.0000671537,0.053973738,0.000069844304,0.00013853323,0.000005630858,0.00016082104,0.000084393454,0.000013018037,0.9443873,0.000002942086,0.0009636339],"study_design_scores_gemma":[0.000549644,0.00010187233,0.011637262,0.00022660937,0.00001756718,0.000046884652,0.00017132856,0.00016035869,0.0000067782476,0.9866457,0.00015069616,0.00028530246],"about_ca_topic_score_codex":0.0006076806,"about_ca_topic_score_gemma":0.0013699447,"teacher_disagreement_score":0.042336475,"about_ca_system_score_codex":0.0008890715,"about_ca_system_score_gemma":0.001219011,"threshold_uncertainty_score":0.99996525},"labels":[],"label_agreement":null},{"id":"W3124234832","doi":"","title":"Les institutions du marché du travail et les inégalités inter-catégorielles: une comparaison France-Canada","year":2010,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Personal income tax; Humanities; Welfare economics; Earnings; Political science; Wage; Economics; Demographic economics; Economy; Sociology; Labour economics; Art; Economic growth; Tax reform; Gross income; Market economy","score_opus":0.05566483687160099,"score_gpt":0.30298621292200895,"score_spread":0.24732137605040797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124234832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8170869,0.0019688322,0.0005113018,0.016370768,0.0042782607,0.0012088566,0.00375722,0.00005248552,0.15476543],"genre_scores_gemma":[0.9386829,0.049732916,0.0010604386,0.00050408795,0.00072188507,0.0003648422,0.000588637,0.0001619207,0.008182334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99146605,0.0007995108,0.00320928,0.002396546,0.0002757379,0.0018528688],"domain_scores_gemma":[0.993739,0.0018380759,0.0011602269,0.0023020671,0.00038340825,0.00057722453],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007653299,0.0010008435,0.0021001121,0.0008714661,0.000935279,0.0005938903,0.0023772565,0.0016633237,0.0011113088],"category_scores_gemma":[0.001758825,0.001320324,0.000576867,0.0006770171,0.001832365,0.000372128,0.0017949288,0.0071434774,0.00006317437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001417736,0.0007283399,0.3952861,0.00047984102,0.00034593928,0.00008724269,0.0010888476,0.008706756,0.000010262257,0.45969442,0.00032494764,0.13310552],"study_design_scores_gemma":[0.001239222,0.000101025806,0.27654335,0.000376741,0.000015820793,0.00002185753,0.0011983997,0.025926795,0.0000077037985,0.009449881,0.6839061,0.0012131237],"about_ca_topic_score_codex":0.61393285,"about_ca_topic_score_gemma":0.82905775,"teacher_disagreement_score":0.6835812,"about_ca_system_score_codex":0.003033539,"about_ca_system_score_gemma":0.002531057,"threshold_uncertainty_score":0.9998018},"labels":[],"label_agreement":null},{"id":"W3124238623","doi":"","title":"The Long-Term Effects of Unemployment Insurance: Evidence from New Brunswick and Maine, 1940-1991","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Generosity; Unemployment; Demographic economics; Distribution (mathematics); Economics; Labour economics; Term (time); Political science; Economic growth","score_opus":0.010229284346542885,"score_gpt":0.22890687572031404,"score_spread":0.21867759137377116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124238623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97134495,0.024245575,0.0023788428,0.0009694492,0.0007803428,0.0001663611,0.000012327055,0.000010232741,0.00009194605],"genre_scores_gemma":[0.965172,0.033692002,0.00009039657,0.000058762977,0.000295688,0.000002659171,0.0000029391565,0.000021159689,0.00066441443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979407,0.000044380264,0.0006142455,0.00027525864,0.00008364756,0.0010417524],"domain_scores_gemma":[0.99846697,0.0004592408,0.0005421231,0.0003602521,0.00004623724,0.00012519119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021502818,0.00016906376,0.00033056468,0.00007105406,0.00023024372,0.00012611793,0.00041716621,0.00010212263,0.000021797045],"category_scores_gemma":[0.0004202037,0.0001359758,0.000112914495,0.00015667046,0.00010478603,0.0002243182,0.00007645575,0.0013400302,0.000012642526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005131485,0.000039626568,0.6242095,0.000017048163,0.00012379969,0.000002941756,0.000112908485,0.0000024545318,0.00021152054,0.36455908,0.000012712526,0.010657044],"study_design_scores_gemma":[0.00057010463,0.000145237,0.5177615,0.000043495173,0.000010876187,0.0000225612,0.000012485156,0.00007003591,0.0000731723,0.480925,0.00022908175,0.00013639739],"about_ca_topic_score_codex":0.0042924606,"about_ca_topic_score_gemma":0.017790658,"teacher_disagreement_score":0.11636591,"about_ca_system_score_codex":0.00018719539,"about_ca_system_score_gemma":0.0006610077,"threshold_uncertainty_score":0.9927605},"labels":[],"label_agreement":null},{"id":"W3124248256","doi":"","title":"The Effect of Pay-for-Performance Contracts on Wages","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Incentive; Instrumental variable; Variation (astronomy); Comparative advantage; Economics; Demographic economics; Labour economics; Econometrics; Microeconomics","score_opus":0.02988882176735343,"score_gpt":0.29676653808017595,"score_spread":0.26687771631282253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124248256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91203463,0.00046218376,0.000010723929,0.0005486383,0.0010477582,0.0014785641,0.0005723303,0.000021618638,0.083823524],"genre_scores_gemma":[0.9673797,0.02944305,0.0000680548,0.00004758248,0.00024193148,0.00049899024,0.00006875328,0.00007440211,0.0021775572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99624425,0.00021624666,0.0014984576,0.0009747086,0.00010982416,0.00095652806],"domain_scores_gemma":[0.99380994,0.0036265163,0.0008067678,0.0015144144,0.00010485155,0.00013754009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010027738,0.00039812337,0.0011183615,0.00042063335,0.00028296432,0.00019507146,0.0011282229,0.0005071013,0.000033406093],"category_scores_gemma":[0.0019269675,0.00031067198,0.00035676858,0.00017024836,0.00030445255,0.00009331283,0.00052553223,0.0015679814,0.000018153158],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002321366,0.00028941745,0.3035644,0.0012873419,0.0005666454,0.000022156404,0.0002279624,0.020453608,0.00001619476,0.12454672,0.00012067399,0.54658353],"study_design_scores_gemma":[0.009089218,0.0046835504,0.22017884,0.0013840252,0.000044987202,0.000013166041,0.00017705811,0.13710389,0.0013938687,0.25663063,0.36620617,0.0030945987],"about_ca_topic_score_codex":0.0001517241,"about_ca_topic_score_gemma":0.00014785238,"teacher_disagreement_score":0.5434889,"about_ca_system_score_codex":0.00069097424,"about_ca_system_score_gemma":0.00013735646,"threshold_uncertainty_score":0.99993455},"labels":[],"label_agreement":null},{"id":"W3124298603","doi":"","title":"When Supply Meets Demand: Wage Inequality in Portugal","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Economics; Wage inequality; Labour economics; Economic shortage; Slowdown; Quarter (Canadian coin); Wage; Economic inequality; Demographic economics; Technological change; Macroeconomics; Economic growth; Geography","score_opus":0.013537490073740532,"score_gpt":0.22730781532305372,"score_spread":0.2137703252493132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124298603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752024,0.0053471834,0.0054345806,0.0061199376,0.00027573458,0.00015662644,0.000051191957,0.000031623713,0.007380738],"genre_scores_gemma":[0.99428666,0.003922188,0.00018770066,0.00060861045,0.00020825198,0.0000035196133,0.000016355043,0.000020866972,0.00074585393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99618703,0.00009001353,0.0011042829,0.0003958627,0.00009293738,0.0021298586],"domain_scores_gemma":[0.9989713,0.000045262666,0.0004790427,0.00033045074,0.000044414308,0.00012955886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007260218,0.00022443185,0.00051504956,0.0002966509,0.00012044749,0.00011024201,0.0004238064,0.00015264882,0.00014994144],"category_scores_gemma":[0.00019987884,0.00023643284,0.0001821215,0.00026657426,0.000028174733,0.00039602318,0.00003816893,0.0015681216,0.00005359107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051751234,0.0001522852,0.103339516,0.0000034476745,0.00004003408,0.000017898006,0.0001902317,0.00002940691,0.00001590795,0.8895326,0.000050586466,0.0065763],"study_design_scores_gemma":[0.0009349557,0.00019485451,0.11037403,0.000011882105,0.0000046751643,0.00006571087,0.00010163891,0.00041890726,0.0000057249295,0.8849721,0.0026352217,0.0002803251],"about_ca_topic_score_codex":0.0005041347,"about_ca_topic_score_gemma":0.0018167756,"teacher_disagreement_score":0.01908427,"about_ca_system_score_codex":0.0010983284,"about_ca_system_score_gemma":0.00040307138,"threshold_uncertainty_score":0.9641451},"labels":[],"label_agreement":null},{"id":"W3124327431","doi":"","title":"Welfare benefits and the rate of unemployment: some evidence from the European Union in the last thirty years","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Welfare; European union; Labour economics; Labour market flexibility; Government (linguistics); Eu countries; Full employment; Demographic economics; Macroeconomics; International economics; Market economy","score_opus":0.04829712834753064,"score_gpt":0.2744419710988739,"score_spread":0.22614484275134328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124327431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754013,0.0038974457,0.0000042704587,0.0098902825,0.00031828793,0.0009766113,0.0006929211,0.000010429886,0.008808456],"genre_scores_gemma":[0.9406706,0.058632806,0.000034102322,0.00027464912,0.00016400896,0.00007920482,0.00004597333,0.000045207787,0.000053455216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9951678,0.0020441213,0.0012532326,0.00088783185,0.000113831215,0.0005331861],"domain_scores_gemma":[0.9955064,0.0021712624,0.00061226037,0.0015900277,0.00005655863,0.00006348819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024057882,0.00028668586,0.00066650077,0.00022111548,0.00019846328,0.00030582814,0.001776634,0.00021345115,0.000029879397],"category_scores_gemma":[0.0011970651,0.00019626017,0.00018414923,0.00025072097,0.00070505973,0.00017426196,0.0015371075,0.0016655675,0.000009682444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002624933,0.00026584,0.20916899,0.000219808,0.00026023443,0.0000449408,0.00866515,0.040450152,0.0000035909611,0.62911004,0.000023524728,0.111525245],"study_design_scores_gemma":[0.0016057115,0.00004605054,0.77753824,0.0005753754,0.000010043477,0.000001953405,0.0008612239,0.0035857712,0.0000028353872,0.21184482,0.0035685536,0.0003593994],"about_ca_topic_score_codex":0.0055662924,"about_ca_topic_score_gemma":0.0036566393,"teacher_disagreement_score":0.56836927,"about_ca_system_score_codex":0.00039777422,"about_ca_system_score_gemma":0.00012575112,"threshold_uncertainty_score":0.84146065},"labels":[],"label_agreement":null},{"id":"W3124339078","doi":"","title":"Wage Returns to Mid-Career Investments in Job Training Through Employer-Supported Course Enrollment: Evidence for Canada","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Labour economics; Wage; Training (meteorology); Business; Wage growth; Job training; On-the-job training; Course (navigation); Demographic economics; Economics; Economic growth; Vocational education; Geography; Engineering; Internship","score_opus":0.11960240062199881,"score_gpt":0.2984501991821234,"score_spread":0.1788477985601246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124339078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98511034,0.004355844,0.0037182928,0.0042575873,0.0008080266,0.00046847746,0.00018848825,0.000013918742,0.0010790443],"genre_scores_gemma":[0.9960345,0.0007072749,0.00047963328,0.0015060583,0.00019788847,0.00004337197,0.000018389499,0.000042285028,0.0009705782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962934,0.000059907423,0.0009114995,0.0004297559,0.0001524209,0.0021530201],"domain_scores_gemma":[0.99876636,0.00011296282,0.00040032435,0.0003022721,0.00012832833,0.0002897492],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046653994,0.00023586964,0.000491012,0.00013068039,0.000118370794,0.00010232733,0.00047631213,0.000103192324,0.000028302276],"category_scores_gemma":[0.00075521105,0.0002545692,0.000110332716,0.00037605202,0.000024843566,0.0004460753,0.000056852492,0.0008303556,0.000010868245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004036731,0.00016947012,0.4065779,0.00003022475,0.00045540778,0.00005047792,0.004898495,0.0006435768,0.00003144637,0.5814601,0.002247411,0.0030317984],"study_design_scores_gemma":[0.0031131878,0.0005284873,0.029594785,0.000102456914,0.000030415427,0.00006581303,0.0040506436,0.0007957426,0.000022738088,0.9469478,0.014071731,0.00067615847],"about_ca_topic_score_codex":0.12227758,"about_ca_topic_score_gemma":0.69783205,"teacher_disagreement_score":0.57555443,"about_ca_system_score_codex":0.003936905,"about_ca_system_score_gemma":0.0051543443,"threshold_uncertainty_score":0.99999064},"labels":[],"label_agreement":null},{"id":"W3124385676","doi":"","title":"Does Comparable Worth Work in a Decentralized Labor Market","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Legislation; Equity (law); Labour economics; Private sector; Welfare economics; Economics; Pay Equity; Gender pay gap; Political science; Humanities; Art; Economic growth; Law","score_opus":0.03233661271155282,"score_gpt":0.2871461806661032,"score_spread":0.2548095679545504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124385676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8348641,0.0009756687,0.0000039257516,0.0009076654,0.00097270054,0.0011138845,0.0010194842,0.000052821753,0.16008975],"genre_scores_gemma":[0.9362388,0.052697964,0.00087776105,0.00023165713,0.00018286111,0.00042437535,0.00019380687,0.00012948377,0.009023262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99342614,0.0004044908,0.0023423024,0.001951945,0.00014148909,0.0017336105],"domain_scores_gemma":[0.9964705,0.0006809555,0.0005839201,0.0018583973,0.00007642048,0.0003298209],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0059401942,0.0005984032,0.0017629785,0.0012862515,0.00014349715,0.00045355147,0.0014058173,0.00081435934,0.0030803755],"category_scores_gemma":[0.0005344289,0.00059343764,0.000336141,0.0007448321,0.00030493975,0.00020552948,0.00095095666,0.0026730315,0.000088683664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012114993,0.00077485543,0.9311893,0.00034758044,0.00019618291,0.000131938,0.00065863214,0.009229802,8.451549e-7,0.020529306,0.00021138007,0.035518683],"study_design_scores_gemma":[0.0032269154,0.000060947503,0.5201705,0.0006800611,0.000008164388,0.0000027946169,0.00024224352,0.018594347,0.0000050323183,0.248762,0.20644422,0.0018027883],"about_ca_topic_score_codex":0.0012817313,"about_ca_topic_score_gemma":0.0037892053,"teacher_disagreement_score":0.41101882,"about_ca_system_score_codex":0.0018112672,"about_ca_system_score_gemma":0.00037411298,"threshold_uncertainty_score":0.99965173},"labels":[],"label_agreement":null},{"id":"W3124416651","doi":"","title":"An International Comparison of Lifetime Inequality: How Continental Europe Resembles North America","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Inequality; Economics; Sample (material); Demographic economics; Econometrics; Mathematics","score_opus":0.07079829615472277,"score_gpt":0.3267461875097578,"score_spread":0.25594789135503504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124416651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91117215,0.000221544,0.000073538715,0.00044945502,0.0009429792,0.0005485823,0.0024047073,0.000040999243,0.08414604],"genre_scores_gemma":[0.9896201,0.007167959,0.0010300607,0.000072637275,0.0002869975,0.00009163683,0.00091886317,0.00009782084,0.00071393006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952471,0.00037512378,0.0019719272,0.0014463499,0.00018439772,0.0007750623],"domain_scores_gemma":[0.99576694,0.00032819627,0.0014854209,0.001797385,0.0003439534,0.00027807834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030270796,0.00044469285,0.0015046158,0.0009987191,0.000108070046,0.00028973416,0.0020738817,0.0004244835,0.00030294986],"category_scores_gemma":[0.0011299552,0.00054507464,0.0002848851,0.00032391166,0.00048181313,0.00035638074,0.0015656687,0.001646723,0.00003308255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034542938,0.0012089687,0.9249494,0.0002127721,0.00032197894,0.00002033179,0.0013887185,0.0019867017,0.00002913913,0.034176115,0.00005228169,0.03530818],"study_design_scores_gemma":[0.00273936,0.0009214998,0.70445335,0.00036726473,0.00002892691,0.0000055336905,0.0016233008,0.1061838,0.00017120565,0.05475056,0.12609342,0.002661804],"about_ca_topic_score_codex":0.0013840159,"about_ca_topic_score_gemma":0.001027423,"teacher_disagreement_score":0.22049606,"about_ca_system_score_codex":0.0004941755,"about_ca_system_score_gemma":0.00022543149,"threshold_uncertainty_score":0.99970007},"labels":[],"label_agreement":null},{"id":"W3124459129","doi":"","title":"The Effect of Match Quality and Specific Experience on Career Decisions and Wage Growth","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Matching (statistics); Wage growth; Wage; Quality (philosophy); Labour economics; Economics; Demographic economics; Psychology; Medicine","score_opus":0.07457376914741229,"score_gpt":0.3388658552811153,"score_spread":0.26429208613370303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124459129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964769,0.0020104551,0.000023143952,0.00031923846,0.00042813027,0.0006969458,0.000387197,0.000012968675,0.031352922],"genre_scores_gemma":[0.949688,0.04956041,0.00018562969,0.000041961717,0.000085066444,0.0001032883,0.000019421734,0.0000442629,0.0002719224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959421,0.0003915759,0.0016138614,0.0011810019,0.00013224372,0.0007392272],"domain_scores_gemma":[0.9907187,0.0070808665,0.0005804056,0.001312526,0.00009097445,0.00021651179],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014504522,0.00035244008,0.001039842,0.00044703827,0.00029172166,0.00020977567,0.00070658064,0.00043066076,0.000025857238],"category_scores_gemma":[0.003173949,0.00030852915,0.00017146232,0.00018753212,0.0007957383,0.000088535984,0.001226091,0.0013077776,0.000005255233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069008133,0.000107307395,0.5516312,0.00028449533,0.00012507867,0.000019364938,0.0011628686,0.00017368715,0.000016706623,0.28299806,0.000020542819,0.1627706],"study_design_scores_gemma":[0.0016643943,0.0004962507,0.7674778,0.0003390696,0.000006460771,0.000006441919,0.00069584866,0.0020190245,0.00019005105,0.21397187,0.012170234,0.0009625526],"about_ca_topic_score_codex":0.0005523783,"about_ca_topic_score_gemma":0.00026620695,"teacher_disagreement_score":0.21584657,"about_ca_system_score_codex":0.00042766926,"about_ca_system_score_gemma":0.000053382057,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W3124498113","doi":"10.1016/j.red.2018.12.001","title":"Wage dynamics and peer referrals","year":2018,"lang":"en","type":"preprint","venue":"Review of Economic Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wage; British Household Panel Survey; Distribution (mathematics); Dynamics (music); Economics; Panel survey; Panel data; Demographic economics; Social network (sociolinguistics); Labour economics; Econometrics; Computer science; Psychology; Social media; Mathematics; World Wide Web","score_opus":0.0428331817108177,"score_gpt":0.28930470123482505,"score_spread":0.24647151952400734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124498113","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42969713,0.2398996,0.008233174,0.011295882,0.008341216,0.0037953765,0.044374477,0.0002408305,0.25412232],"genre_scores_gemma":[0.4476221,0.5323267,0.0049425866,0.001698563,0.0006613773,0.00015306222,0.0046579037,0.0002909675,0.0076467586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949649,0.0000888509,0.0029999479,0.0013234195,0.000091274356,0.0005315932],"domain_scores_gemma":[0.99468803,0.0001437924,0.0029274204,0.0018122784,0.00021759336,0.00021089974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041375547,0.0006726267,0.002665,0.00030105954,0.00008632892,0.00013657802,0.00096041185,0.00061144447,0.0007346386],"category_scores_gemma":[0.00048543568,0.00078561617,0.00057997403,0.00012666859,0.0003148319,0.00020224096,0.0014095835,0.00070140144,0.00024232536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013874104,0.00007386364,0.014978261,0.014305653,0.00031556754,0.0000037969337,0.00004400095,0.000045234086,1.1030866e-7,0.9645333,0.0018906471,0.0037956727],"study_design_scores_gemma":[0.0007089958,0.00014114572,0.007106681,0.0096911965,0.00021220304,0.000022345735,0.000035160534,0.32096952,0.0000014525224,0.631829,0.027225975,0.002056271],"about_ca_topic_score_codex":0.0006132993,"about_ca_topic_score_gemma":0.00062423927,"teacher_disagreement_score":0.33270428,"about_ca_system_score_codex":0.0012706493,"about_ca_system_score_gemma":0.00017235996,"threshold_uncertainty_score":0.9994595},"labels":[],"label_agreement":null},{"id":"W3124524340","doi":"","title":"Sectoral Mobility and Unemployment with Heterogeneous Moving Costs","year":2013,"lang":"en","type":"preprint","venue":"Spectrum Research Repository (Concordia University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Economics; Labour economics; Labor mobility; Aggregate (composite); Order (exchange); General equilibrium theory; Microeconomics; Macroeconomics","score_opus":0.03716715857610166,"score_gpt":0.24932439532774947,"score_spread":0.21215723675164783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124524340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966943,0.00061216275,0.00037830218,0.00050666655,0.00050522323,0.001002837,0.00022366375,0.00010277402,0.029725352],"genre_scores_gemma":[0.9949082,0.0003539033,0.00008466942,0.000020159443,0.00019832836,0.000017944638,0.00003092669,0.00006056755,0.0043252967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964001,0.0003578935,0.00054893934,0.0015457894,0.00023924153,0.00090799434],"domain_scores_gemma":[0.9973926,0.00021335903,0.00042580257,0.0012805876,0.00021560115,0.00047207228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013148279,0.00042715078,0.000799752,0.00081867754,0.0005120918,0.0005430772,0.0008060689,0.00041484728,0.00011975136],"category_scores_gemma":[0.000070753464,0.0004800523,0.00018565574,0.00052300404,0.0005671467,0.0002722601,0.0018139004,0.0015194698,0.000039438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002743541,0.00025535584,0.92038226,0.0003344191,0.00043417088,0.0007189625,0.00020574477,0.00037994166,0.00006759144,0.07660398,0.00009684509,0.00024638436],"study_design_scores_gemma":[0.0029127516,0.0014834057,0.82473505,0.000437196,0.00008919937,0.00011093938,0.00052686414,0.013469118,0.0009984013,0.13009943,0.02232344,0.0028141858],"about_ca_topic_score_codex":0.08671681,"about_ca_topic_score_gemma":0.008433474,"teacher_disagreement_score":0.09564718,"about_ca_system_score_codex":0.0020691254,"about_ca_system_score_gemma":0.0003394391,"threshold_uncertainty_score":0.9997651},"labels":[],"label_agreement":null},{"id":"W3124541188","doi":"10.3233/sju-2006-232-308","title":"Producing hours worked for the SNA in order to measure productivity: The Canadian experience","year":2007,"lang":"en","type":"article","venue":"Statistical Journal of the United Nations Economic Commission for Europe","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Order (exchange); Measure (data warehouse); Operations research; Operations management; Computer science; Business; Economics; Mathematics; Data mining; Finance; Economic growth","score_opus":0.054851892419054804,"score_gpt":0.29346008471823204,"score_spread":0.23860819229917724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124541188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38706684,0.00042412622,0.4681045,0.12352837,0.0046817753,0.003945505,0.0020424195,0.000020359836,0.010186095],"genre_scores_gemma":[0.9953496,0.000015773236,0.003225684,0.00028612916,0.00016463247,0.000021548687,0.0000064281357,0.00002210343,0.0009081329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862546,0.0000751083,0.000765494,0.00019792283,0.00005605251,0.00027997643],"domain_scores_gemma":[0.9971306,0.001475977,0.00039778475,0.0003760668,0.00047194198,0.00014765511],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004932285,0.00011313466,0.00020853327,0.00077317917,0.00065804797,0.0001328383,0.0006469216,0.000041684772,0.000043619697],"category_scores_gemma":[0.011390308,0.00006802216,0.00006150426,0.0017283546,0.00009264002,0.00009933249,0.000061751685,0.00027427435,0.0000050385556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022133699,0.00008115933,0.010521579,0.0000128692545,0.00006383574,0.0000019897702,0.0020956662,0.011159147,0.000013246322,0.95995414,0.0074225566,0.008452453],"study_design_scores_gemma":[0.0010544541,0.0001228648,0.16806218,0.0000858052,0.000030940995,0.00001904371,0.00041151364,0.017584542,0.000044363744,0.041927572,0.77036375,0.00029294487],"about_ca_topic_score_codex":0.0065706302,"about_ca_topic_score_gemma":0.07393675,"teacher_disagreement_score":0.91802657,"about_ca_system_score_codex":0.00033959802,"about_ca_system_score_gemma":0.00031277898,"threshold_uncertainty_score":0.99693716},"labels":[],"label_agreement":null},{"id":"W3124616799","doi":"10.17848/9781417596355","title":"Introduction [to Unemployment Compensation Throughout the World]","year":2005,"lang":"en","type":"preprint","venue":"Upjohn Research (W.E. Upjohn Institute for Employment Research)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University; University of Technology Sydney; Macquarie University","keywords":"Unemployment; Duration (music); Compensation (psychology); Product (mathematics); Principal (computer security); Economics; Product market; Actuarial science; Labour economics; Economic growth; Computer science; Psychology; Market economy; Incentive; Computer security","score_opus":0.19280605744428694,"score_gpt":0.42277948866310083,"score_spread":0.2299734312188139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124616799","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3033575,0.005690432,0.029931698,0.52782905,0.016976677,0.03682014,0.01005243,0.00088126224,0.06846079],"genre_scores_gemma":[0.8393499,0.004997112,0.009265471,0.0017682044,0.024405574,0.012864051,0.0062891096,0.00069773156,0.10036284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98779035,0.0010677942,0.002854489,0.0032858888,0.0017983341,0.0032031306],"domain_scores_gemma":[0.99073,0.0014922607,0.0007145437,0.004057756,0.0022125202,0.0007929451],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.03675891,0.00089135027,0.001436411,0.003680293,0.002609591,0.002091106,0.0037943858,0.00064815185,0.0011785744],"category_scores_gemma":[0.0045158314,0.0008159447,0.0006861605,0.0032130375,0.0014602621,0.00069192523,0.004971231,0.004859972,0.0021952922],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048647186,0.00074541784,0.0015225741,0.00038155628,0.00041676787,0.000010824964,0.0010928895,0.0100663975,0.000039280723,0.78171384,0.19843264,0.005091309],"study_design_scores_gemma":[0.0008097165,0.00035205574,0.0016406985,0.00016721827,0.000016831264,0.000003133424,0.00012429243,0.0038272722,0.0002099291,0.1912491,0.8008677,0.0007320992],"about_ca_topic_score_codex":0.009188887,"about_ca_topic_score_gemma":0.01355799,"teacher_disagreement_score":0.602435,"about_ca_system_score_codex":0.0046432703,"about_ca_system_score_gemma":0.0008059961,"threshold_uncertainty_score":0.99973446},"labels":[],"label_agreement":null},{"id":"W3124634872","doi":"10.5539/ijef.v4n2p94","title":"The Effect of a Change in Legislation on the Wage Gap in Brazil","year":2012,"lang":"en","type":"preprint","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nepotism; Legislation; Human capital; Wage; Labour economics; Economics; Public service; Low wage; Public sector; Political science; Economic growth; Law; Economy","score_opus":0.05111399648420051,"score_gpt":0.27685622646853836,"score_spread":0.22574222998433785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124634872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872127,0.0039423383,0.000022445312,0.004722386,0.0019471068,0.00022940742,0.00018611616,8.563923e-7,0.0017366132],"genre_scores_gemma":[0.9781153,0.021298064,0.000032729604,0.00015588087,0.0003216731,0.000024125924,0.00000588235,0.000013686592,0.00003262366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983467,0.00006637824,0.0011796416,0.00019387864,0.000043168926,0.00017025683],"domain_scores_gemma":[0.9972849,0.000557454,0.0018414065,0.00023576707,0.00005976066,0.00002072693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035019035,0.0001676789,0.00048046047,0.00024702342,0.000032389235,0.0001022932,0.000606309,0.00014270209,0.000010559793],"category_scores_gemma":[0.0002357331,0.000121439814,0.00015588864,0.000060989907,0.00007708926,0.00018686448,0.0002126537,0.0005391966,0.0000035530961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032584995,0.000066364446,0.14067633,0.000018875613,0.000094037074,0.000007437235,0.0005863817,0.0034347724,8.1349174e-7,0.8391762,0.000025472133,0.015587508],"study_design_scores_gemma":[0.0021358246,0.00027168097,0.53668153,0.00052551745,0.000011946558,0.00001661362,0.000028393995,0.047474686,0.000051782743,0.39258444,0.019797893,0.0004197029],"about_ca_topic_score_codex":0.00042423516,"about_ca_topic_score_gemma":0.0004471995,"teacher_disagreement_score":0.4465917,"about_ca_system_score_codex":0.00020364337,"about_ca_system_score_gemma":0.00003070708,"threshold_uncertainty_score":0.49521717},"labels":[],"label_agreement":null},{"id":"W3124654604","doi":"","title":"Returns to Human Capital and Investment in New Technology","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage; Investment (military); Economics; Labour economics; Market economy","score_opus":0.0429560184367102,"score_gpt":0.3040931740208234,"score_spread":0.2611371555841132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124654604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.927511,0.0006494893,0.0000074646246,0.002029856,0.00029876945,0.00088898564,0.00018931575,0.000035738103,0.068389386],"genre_scores_gemma":[0.9888438,0.005939892,0.0011170529,0.00033238094,0.00016756155,0.0001720195,0.0000664588,0.00007619358,0.0032846434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959661,0.000078888916,0.0013709853,0.0015247676,0.00007257636,0.000986689],"domain_scores_gemma":[0.9979254,0.00012321772,0.00031057172,0.001239054,0.00004662405,0.0003551115],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026836128,0.00038497013,0.0010022258,0.0022609879,0.00010178088,0.0002075031,0.0008057289,0.0007835866,0.00015675684],"category_scores_gemma":[0.000556238,0.00050269737,0.000110651534,0.00046942904,0.00021933638,0.00010594724,0.0019281742,0.0018545722,0.000030470143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005559198,0.00025219555,0.35387418,0.00014133913,0.00008540772,0.00011300584,0.001684596,0.0011163423,0.000024448807,0.61649114,0.0000598978,0.026101816],"study_design_scores_gemma":[0.00097651995,0.00015866944,0.056540284,0.00016140688,0.0000025412814,0.0000076255806,0.00064509996,0.0009512692,0.000011605274,0.91467077,0.025117802,0.0007564021],"about_ca_topic_score_codex":0.0021807083,"about_ca_topic_score_gemma":0.011247778,"teacher_disagreement_score":0.2981796,"about_ca_system_score_codex":0.0016119572,"about_ca_system_score_gemma":0.0002983068,"threshold_uncertainty_score":0.99974245},"labels":[],"label_agreement":null},{"id":"W3124676468","doi":"10.48550/arxiv.2012.15753","title":"The Role of Referrals in Immobility, Inequality, and Inefficiency in Labor Markets","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Santa Fe Institute; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Inefficiency; Productivity; Inequality; Disadvantage; Labour economics; Economics; Demographic economics; Population; Affirmative action; Medicine; Economic growth; Political science; Microeconomics","score_opus":0.07143099451794177,"score_gpt":0.19759429468614814,"score_spread":0.12616330016820637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124676468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908096,0.0012645641,0.00024576095,0.00038300478,0.00016386104,0.0003741522,0.0004120194,0.000017848843,0.0063291653],"genre_scores_gemma":[0.997496,0.002242833,0.00003369196,0.000053426775,0.000019846591,0.000002571979,0.000017585358,0.000017958133,0.00011606276],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774796,0.0001863152,0.0008366531,0.0008794331,0.00003144228,0.00031817588],"domain_scores_gemma":[0.99824315,0.00030428288,0.0005859984,0.00071690616,0.000060972743,0.00008866042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002127739,0.00024433798,0.00067186,0.0002741683,0.00005582724,0.00005422949,0.0006949584,0.00027345825,0.000030214578],"category_scores_gemma":[0.00044230066,0.00026332264,0.000116262905,0.0007819477,0.00017828586,0.000121892386,0.0012928674,0.00060457113,0.000008131037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009183105,0.00008080932,0.5216532,0.000094974384,0.000018858305,0.0000169816,0.0002101497,0.0012246994,0.000007319156,0.47639602,0.0000026490304,0.00020250451],"study_design_scores_gemma":[0.00040278648,0.000022870854,0.3650947,0.000041725933,0.0000049606906,2.19608e-7,0.00018675433,0.03531491,0.000007640767,0.59829843,0.0004057656,0.00021927571],"about_ca_topic_score_codex":0.0029036456,"about_ca_topic_score_gemma":0.0017331111,"teacher_disagreement_score":0.15655851,"about_ca_system_score_codex":0.00020038261,"about_ca_system_score_gemma":0.00007819527,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W3124684552","doi":"","title":"The Evolution of the Returns to Human Capital in Canada, 1980–2005","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Human capital; Census; Demographic economics; Wage; Economics; Labour economics; Demography; Economic growth; Population; Sociology","score_opus":0.015539235210131787,"score_gpt":0.2515554000446206,"score_spread":0.23601616483448884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124684552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96515006,0.000059743958,8.9882604e-7,0.0014340209,0.00052885455,0.00034315733,0.0001483188,0.0000033950066,0.032331534],"genre_scores_gemma":[0.99846065,0.00019207274,0.000033044216,0.00006369598,0.00006371203,0.000043888227,0.000003274744,0.000019961202,0.0011196957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980307,0.00008186253,0.00080121926,0.00038692236,0.00008387608,0.0006153888],"domain_scores_gemma":[0.9984368,0.00031939297,0.00020580809,0.0008750312,0.00005019827,0.00011273503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033773736,0.00012220515,0.0002789592,0.00019276835,0.00022210243,0.000056614317,0.000805846,0.000101807665,0.00005488843],"category_scores_gemma":[0.0007387002,0.000102083446,0.00007723313,0.00029225004,0.00017082953,0.00008469731,0.00026909742,0.0007746,0.000005589652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024097557,0.000047209545,0.5241416,0.000011593321,0.000014732794,0.0000024009057,0.0003273097,0.0004214002,0.00022151452,0.47169265,0.0000298053,0.0030656634],"study_design_scores_gemma":[0.0003979745,0.0000289114,0.90764964,0.000017155386,8.2516476e-7,0.0000018778471,0.0011501934,0.0022837727,0.0000567998,0.07279127,0.015406915,0.00021465115],"about_ca_topic_score_codex":0.55988663,"about_ca_topic_score_gemma":0.991022,"teacher_disagreement_score":0.43113533,"about_ca_system_score_codex":0.0022911162,"about_ca_system_score_gemma":0.0007237252,"threshold_uncertainty_score":0.59911895},"labels":[],"label_agreement":null},{"id":"W3124694678","doi":"","title":"Top Earnings Inequality and the Gender Pay Gap: Canada, Sweden and the United Kingdom","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Earnings; Gender pay gap; Inequality; Economics; Differential (mechanical device); Demographic economics; Representation (politics); Gender gap; Labour economics; Political science; Accounting; Wage","score_opus":0.08587533795424081,"score_gpt":0.3125571099060738,"score_spread":0.22668177195183303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124694678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94482124,0.0006461125,0.00001808781,0.00850367,0.0006162838,0.001089837,0.00048237262,0.00001706442,0.043805316],"genre_scores_gemma":[0.9848585,0.012570096,0.000058572157,0.000561395,0.00022106602,0.0001935593,0.0000712845,0.000055055996,0.0014104676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99590135,0.0007376856,0.0012619103,0.0011489068,0.0001495415,0.00080058206],"domain_scores_gemma":[0.99441147,0.0023247795,0.000986035,0.0019425189,0.00013549885,0.00019969729],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015836744,0.00040700941,0.0011692338,0.00031495362,0.0007924773,0.00083659636,0.001286753,0.00041034046,0.000062990395],"category_scores_gemma":[0.003720092,0.00027320266,0.00016699644,0.00013340745,0.001721845,0.00011651368,0.0024928006,0.0025354994,0.0000028805111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074857636,0.000053129716,0.26309133,0.00032278107,0.00044330675,0.000027609905,0.001895633,0.0009810412,5.0029286e-7,0.72193265,0.000112376445,0.010391053],"study_design_scores_gemma":[0.007282539,0.000028912706,0.33232135,0.00012310412,0.000029562209,0.00001464633,0.00062272936,0.052537672,0.0000017066146,0.48625958,0.119780354,0.0009978502],"about_ca_topic_score_codex":0.5163752,"about_ca_topic_score_gemma":0.17830132,"teacher_disagreement_score":0.33807385,"about_ca_system_score_codex":0.00067321525,"about_ca_system_score_gemma":0.00060688704,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W3124696693","doi":"","title":"Contingent Employment and Labour Market Pathways: Bridge or Trap?","year":2017,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Department of Social Services, Australian Government; Queen's University Belfast; Australian Government","keywords":"Casual; Trap (plumbing); Bridge (graph theory); Labour economics; Economics; Longitudinal data; Demographic economics; Sociology; Political science; Engineering; Biology","score_opus":0.061132803828568,"score_gpt":0.27890971695974637,"score_spread":0.21777691313117836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124696693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9357572,0.0000607921,0.00014841554,0.0036497542,0.0001753468,0.00041513157,0.0012421301,0.00004664245,0.05850456],"genre_scores_gemma":[0.96291727,0.0013495986,0.00015105664,0.00006082413,0.00009235407,0.000002976919,0.000022251686,0.000026559934,0.035377104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99784285,0.00012630437,0.00038279744,0.0007011516,0.0002055501,0.0007413207],"domain_scores_gemma":[0.99803644,0.00015215852,0.0003461922,0.00089070987,0.0001969131,0.00037755264],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002697192,0.00021176427,0.00045295866,0.00033859292,0.0012265795,0.0003862561,0.0007643202,0.0001620891,0.0014064517],"category_scores_gemma":[0.00051207386,0.00023035373,0.00012239182,0.00020741546,0.00038424935,0.0005636413,0.0007399936,0.00046399963,0.0000689102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036903817,0.00027904043,0.306924,0.00011325207,0.00017757423,0.0011107639,0.00036565677,0.0000011024335,0.000012025665,0.6832726,0.0049738437,0.0024011277],"study_design_scores_gemma":[0.001401756,0.0002060255,0.82873803,0.00004412339,0.000007869963,0.000005371924,0.00037768533,0.00016291917,0.00001614071,0.011546764,0.15712589,0.0003674046],"about_ca_topic_score_codex":0.007664885,"about_ca_topic_score_gemma":0.0004449772,"teacher_disagreement_score":0.6717258,"about_ca_system_score_codex":0.00017974939,"about_ca_system_score_gemma":0.00012569797,"threshold_uncertainty_score":0.9995064},"labels":[],"label_agreement":null},{"id":"W3124708636","doi":"","title":"It's About Time: Implications of the Period Length in an Equilibrium Search Model","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Simultaneity; Economics; Unemployment; Econometrics; Convergence (economics); Period (music); Cluster analysis; Duration (music); Dispersion (optics); Labour economics; Mathematics; Statistics; Macroeconomics; Physics","score_opus":0.05604206887996619,"score_gpt":0.314512724319444,"score_spread":0.2584706554394778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124708636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90417254,0.00019014366,0.00001570266,0.002658731,0.00019926485,0.0011814333,0.0011986995,0.000018554987,0.09036492],"genre_scores_gemma":[0.99379325,0.0024080041,0.00053326413,0.00014755606,0.00009289251,0.00036534143,0.00013710067,0.000075208016,0.0024473683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954162,0.00030080284,0.0018345132,0.0013248557,0.00013050773,0.0009931016],"domain_scores_gemma":[0.9959847,0.00028836614,0.0005408942,0.002768173,0.00021125893,0.00020661562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004827781,0.00037131214,0.0009981748,0.0007449591,0.0001310246,0.00027452258,0.002177347,0.00062928256,0.0003008799],"category_scores_gemma":[0.00047192347,0.00038756197,0.00030014524,0.0003907426,0.00048439874,0.00031052515,0.0022568812,0.002082444,0.000030338744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014478498,0.0014740704,0.3467864,0.00073172746,0.00020811704,0.000006389892,0.0046438784,0.37512276,0.00043599887,0.239511,0.00013486066,0.0308],"study_design_scores_gemma":[0.0006413977,0.000058775284,0.13842905,0.00014306448,0.000004149361,0.000002207839,0.0002203174,0.69189453,0.000029569377,0.16681531,0.0011402096,0.00062140706],"about_ca_topic_score_codex":0.00070848374,"about_ca_topic_score_gemma":0.00077099045,"teacher_disagreement_score":0.31677178,"about_ca_system_score_codex":0.0011961618,"about_ca_system_score_gemma":0.00069811556,"threshold_uncertainty_score":0.9998576},"labels":[],"label_agreement":null},{"id":"W3124709402","doi":"10.2139/ssrn.1679204","title":"Fixed-Term and Permanent Employment Contracts: Theory and Evidence","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Bank of Canada; Government of Canada","funders":"","keywords":"Term (time); Economics; Law and economics; Labour economics; Business","score_opus":0.013028918795112395,"score_gpt":0.23815952823218156,"score_spread":0.22513060943706917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124709402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97971135,0.016475836,0.0016716991,0.001049447,0.00030387242,0.00010318754,0.000013601469,0.00001280051,0.0006582267],"genre_scores_gemma":[0.97986066,0.01897249,0.0000557145,0.00022161297,0.00016437778,0.000004746659,0.0000013429021,0.000016605258,0.00070247066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824786,0.000049981903,0.0004195363,0.00027228112,0.000047030815,0.0009633094],"domain_scores_gemma":[0.9992016,0.00018187107,0.00027192893,0.00018961936,0.000035051642,0.00011992639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058620395,0.00014116862,0.00024884864,0.00009192089,0.00018257766,0.0001624164,0.00016413468,0.00008547909,0.000065445056],"category_scores_gemma":[0.00032347045,0.00013366753,0.000055632187,0.00005891258,0.00009011095,0.00030165497,0.00006176247,0.0012812278,0.000014179762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046890476,0.00003069234,0.0774423,0.000006619184,0.000060744514,0.0000034554591,0.00013876185,4.0433537e-7,0.0002696287,0.9144392,0.000003978802,0.007557323],"study_design_scores_gemma":[0.00049882417,0.0001390907,0.07992831,0.000021421416,0.000013449417,0.00027398547,0.00012196958,0.000074890166,0.000012580386,0.917077,0.0016314114,0.00020705174],"about_ca_topic_score_codex":0.00008677228,"about_ca_topic_score_gemma":0.00054498593,"teacher_disagreement_score":0.007350271,"about_ca_system_score_codex":0.00018119611,"about_ca_system_score_gemma":0.00016991494,"threshold_uncertainty_score":0.55663687},"labels":[],"label_agreement":null},{"id":"W3124718165","doi":"10.3386/w18719","title":"Mismatch, Sorting and Wage Dynamics","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council; Yale University","keywords":"Economics; Matching (statistics); Unemployment; Wage; Productivity; Welfare; Sorting; Labour economics; Production (economics); Econometrics; Microeconomics; Computer science; Macroeconomics","score_opus":0.2409759137053102,"score_gpt":0.4300509924788938,"score_spread":0.18907507877358357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124718165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65872693,0.0013760398,0.00017383484,0.0024896064,0.0006052001,0.0007085495,0.0010542677,0.000027585047,0.33483797],"genre_scores_gemma":[0.99532616,0.00075960445,0.0009608103,0.000051383427,0.0002802571,0.00010540472,0.00044260742,0.00004820301,0.0020255721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969334,0.00009522525,0.0014361152,0.00086719246,0.00018504755,0.00048299457],"domain_scores_gemma":[0.99744797,0.00063212495,0.0008229158,0.0005124333,0.00043503614,0.00014952179],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005832519,0.00025855986,0.000761693,0.0007548103,0.00014310704,0.00025706863,0.0006399484,0.0004883708,0.0005375745],"category_scores_gemma":[0.0008284552,0.00031424747,0.00017631095,0.00013020421,0.00028694607,0.00020542546,0.0011109889,0.0010377321,0.0002531202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012790293,0.00005254688,0.015564814,0.00019424949,0.00011450615,0.0000011587792,0.00010738644,0.0005239695,0.000005024997,0.982092,0.0006564448,0.0006750791],"study_design_scores_gemma":[0.00027349862,0.000024308742,0.003931418,0.000047415982,0.0000028407271,0.0000017214991,0.000049308514,0.08614685,0.000008399371,0.90888083,0.00036998268,0.0002634034],"about_ca_topic_score_codex":0.0045345966,"about_ca_topic_score_gemma":0.000263845,"teacher_disagreement_score":0.3365992,"about_ca_system_score_codex":0.0010538037,"about_ca_system_score_gemma":0.00027492174,"threshold_uncertainty_score":0.999931},"labels":[],"label_agreement":null},{"id":"W3124743025","doi":"","title":"On-the-Job Search and Business Cycles","year":2008,"lang":"en","type":"article","venue":"2008 Meeting Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Business cycle; Unemployment; Recession; Productivity; Volatility (finance); Aggregate (composite); Beveridge curve; Wage; Econometrics; Labour economics; Macroeconomics; Unemployment rate","score_opus":0.03467085866894498,"score_gpt":0.22065966253032837,"score_spread":0.1859888038613834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124743025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87545943,0.00052713795,0.000025630705,0.0019220079,0.00014614008,0.00008910463,0.000037517457,0.000029843379,0.121763185],"genre_scores_gemma":[0.9964991,0.00096274546,0.00023057408,0.0007227349,0.00007158476,0.000007830257,0.000003988967,0.00002072497,0.001480705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99904376,0.00003219528,0.0002947903,0.0003055126,0.000054336324,0.0002694146],"domain_scores_gemma":[0.9993053,0.0002486485,0.000079989215,0.0002654143,0.000035073943,0.00006556477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007932036,0.00012404633,0.00020774044,0.00007547982,0.00035004204,0.0000434701,0.0001627306,0.000063144216,0.00017301322],"category_scores_gemma":[0.00040069615,0.00010662913,0.000046871784,0.0002536105,0.0001473801,0.000052917945,0.00006006424,0.00014670822,0.00010868157],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038620063,0.00007291156,0.29840806,0.00004370658,0.000059235677,0.000039366525,0.0010521726,0.0005584217,0.0001106017,0.69720984,0.0013203677,0.0010867334],"study_design_scores_gemma":[0.0010840634,0.00006603717,0.90377325,0.00009479952,0.0000079307765,0.00005328431,0.00029542888,0.004141811,0.00007830612,0.047376234,0.042130016,0.0008988354],"about_ca_topic_score_codex":0.0005940119,"about_ca_topic_score_gemma":0.000054362285,"teacher_disagreement_score":0.64983356,"about_ca_system_score_codex":0.000034785196,"about_ca_system_score_gemma":0.000018236702,"threshold_uncertainty_score":0.43482098},"labels":[],"label_agreement":null},{"id":"W3124744987","doi":"","title":"The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Labour economics; Economics; Business cycle; Macro; Unemployment rate; Micro level; Job creation; Demographic economics; Geography; Macroeconomics; Economic impact analysis","score_opus":0.04954819769526917,"score_gpt":0.28892308058574545,"score_spread":0.2393748828904763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124744987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7732152,0.007716006,0.00039155694,0.0059987223,0.0014105,0.002462167,0.007995463,0.00009173969,0.20071867],"genre_scores_gemma":[0.755092,0.125014,0.05404327,0.0022203485,0.0040184218,0.0008687064,0.004034778,0.00075036247,0.053958092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944458,0.00024466385,0.0016230793,0.0022993442,0.00013352603,0.0012536102],"domain_scores_gemma":[0.99436706,0.00097113714,0.00050543784,0.003647648,0.00009716876,0.000411543],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008544938,0.0005238713,0.0010125666,0.00053024024,0.0004558464,0.001240259,0.0030257052,0.0009101142,0.000037345813],"category_scores_gemma":[0.0013406742,0.0005213738,0.00015330936,0.0003239705,0.0003613059,0.00020012262,0.0058737574,0.0027737597,0.000029582183],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007723187,0.00087655394,0.21840324,0.00096714887,0.000884018,0.000042883767,0.0016969049,0.013558689,0.000015296398,0.074692845,0.008299356,0.67979074],"study_design_scores_gemma":[0.0012442541,0.00006597394,0.0966559,0.00015391747,0.00001551382,0.000010424481,0.0003120533,0.10840256,0.000006973822,0.1119236,0.6797384,0.0014704451],"about_ca_topic_score_codex":0.0016657002,"about_ca_topic_score_gemma":0.0013202397,"teacher_disagreement_score":0.6783203,"about_ca_system_score_codex":0.0006243636,"about_ca_system_score_gemma":0.00042591064,"threshold_uncertainty_score":0.99979657},"labels":[],"label_agreement":null},{"id":"W3124752936","doi":"","title":"Returns to Education through Access to Higher-Paying Firms: Evidence from US Matched Employer-Employee Data","year":2017,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Higher education; Representation (politics); Demographic economics; Business; Economics; Political science; Economic growth","score_opus":0.1415620228671298,"score_gpt":0.31080799923246855,"score_spread":0.16924597636533875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124752936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633595,0.0005596421,0.0028177276,0.007334224,0.00066206744,0.0006247267,0.005055937,0.00006973351,0.019516451],"genre_scores_gemma":[0.97337335,0.001149166,0.021154866,0.001006709,0.00016550579,0.0000034039406,0.0004124229,0.00005459991,0.0026799554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971429,0.00013770748,0.0006131904,0.0013555998,0.00020015117,0.00055042986],"domain_scores_gemma":[0.9938615,0.00037227277,0.00076973625,0.0044219824,0.00018416575,0.00039032742],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00090439664,0.0003716542,0.00079371175,0.00025272655,0.0009474972,0.00032889997,0.0066135633,0.00016443813,0.0006868425],"category_scores_gemma":[0.0010598006,0.00048653487,0.0002175192,0.00026320937,0.00028984167,0.0020073508,0.005093428,0.000434682,0.00017659151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013391875,0.0007634769,0.88942486,0.0002951914,0.00068093603,0.00008582428,0.041283395,0.00013926896,0.00063970126,0.027646955,0.027384244,0.010316937],"study_design_scores_gemma":[0.0007556532,0.00016421148,0.852329,0.0005580268,0.000069575515,0.0000029217804,0.0023583919,0.0014310236,0.000024923893,0.043969158,0.09746451,0.0008725659],"about_ca_topic_score_codex":0.08151826,"about_ca_topic_score_gemma":0.021914294,"teacher_disagreement_score":0.07008026,"about_ca_system_score_codex":0.00030738066,"about_ca_system_score_gemma":0.00025464557,"threshold_uncertainty_score":0.99975866},"labels":[],"label_agreement":null},{"id":"W3124767324","doi":"","title":"Tendances des salaires relatifs des personnes tres scolarisees dans une economie du savoir","year":2004,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.11420762141163333,"score_gpt":0.329744292106644,"score_spread":0.2155366706950107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124767324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9011108,0.03738366,0.010986365,0.0030805357,0.00088037644,0.00048756253,0.00032253255,0.0002734926,0.045474634],"genre_scores_gemma":[0.8504477,0.099484846,0.03272738,0.00026007506,0.00044673381,0.000105068524,0.000059010657,0.00013708926,0.016332056],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947422,0.0009819354,0.0016190192,0.0012664384,0.00015272564,0.0012376854],"domain_scores_gemma":[0.9968541,0.0008369124,0.00094574445,0.0006657462,0.00030121833,0.00039627482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006114855,0.00078854716,0.0011577948,0.00055355637,0.0010865022,0.0010032345,0.0006669413,0.001072939,0.0006514769],"category_scores_gemma":[0.0019386633,0.0009277046,0.00071208645,0.0015293282,0.0016559721,0.00242216,0.00019320924,0.0011048161,0.00014414448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024381343,0.0012931861,0.61728626,0.0010241597,0.0018249616,0.000067719026,0.023805805,0.005931216,0.00014272856,0.27987802,0.00025175503,0.06825035],"study_design_scores_gemma":[0.0015417938,0.0005299762,0.18335986,0.0012332719,0.00028634528,0.0000788102,0.004350293,0.0038221907,0.00088325894,0.77177817,0.030736757,0.0013993015],"about_ca_topic_score_codex":0.067836545,"about_ca_topic_score_gemma":0.07958316,"teacher_disagreement_score":0.49190012,"about_ca_system_score_codex":0.013537333,"about_ca_system_score_gemma":0.00039529035,"threshold_uncertainty_score":0.99931735},"labels":[],"label_agreement":null},{"id":"W3124768724","doi":"","title":"Education, Job Search and Re-employment Outcomes among the Unemployed","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Unemployment; Instrumental variable; Labour economics; Census; Demographic economics; Economics; Economic growth; Econometrics; Sociology; Population; Demography","score_opus":0.05879662170345047,"score_gpt":0.31411893675851493,"score_spread":0.2553223150550645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124768724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87473285,0.00065455964,0.0000087239205,0.0014910691,0.0008644843,0.0011264018,0.00024196475,0.000036420333,0.12084355],"genre_scores_gemma":[0.9788852,0.012327851,0.00028904784,0.0003007862,0.00018532766,0.00048601333,0.00006180829,0.000103225495,0.0073607457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956694,0.0003109611,0.0014825345,0.0014449971,0.00013626947,0.0009557881],"domain_scores_gemma":[0.99657965,0.0005670831,0.00039236076,0.0020169248,0.00016548777,0.0002784896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006625885,0.00045564838,0.00097568857,0.00069162593,0.00033707274,0.00043504025,0.0012862133,0.00052506063,0.00027800899],"category_scores_gemma":[0.00067482464,0.00042557056,0.0002561254,0.00022701785,0.0006814458,0.00017376344,0.002058548,0.0020502913,0.000036727746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035345984,0.0002260955,0.8462982,0.00012706555,0.0001795797,0.0000050768376,0.0011536725,0.00028429937,6.420808e-7,0.13280497,0.00007207636,0.01881295],"study_design_scores_gemma":[0.00044703356,0.00005619286,0.7719401,0.0000984864,0.000008340585,0.0000020410753,0.0006535358,0.0016825942,0.0000048193674,0.21555375,0.00894597,0.00060713285],"about_ca_topic_score_codex":0.0075293863,"about_ca_topic_score_gemma":0.0039834282,"teacher_disagreement_score":0.11348281,"about_ca_system_score_codex":0.00089032046,"about_ca_system_score_gemma":0.00053507625,"threshold_uncertainty_score":0.99981964},"labels":[],"label_agreement":null},{"id":"W3124781336","doi":"","title":"Wages equal productivity, fact or fiction?","year":2003,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Economics; Labour economics; Neoclassical economics; Macroeconomics","score_opus":0.1028132550033559,"score_gpt":0.2974829133249418,"score_spread":0.1946696583215859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124781336","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009157899,0.0018004731,0.0046841605,0.00047668387,0.006209041,0.00059215137,0.001920254,0.00016324941,0.9749961],"genre_scores_gemma":[0.5095866,0.005536061,0.00068848516,0.00019673123,0.0011546621,0.00009072771,0.0003371938,0.0001538334,0.48225576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659634,0.00005492408,0.0013897131,0.0012238361,0.00019377627,0.00054139004],"domain_scores_gemma":[0.9973702,0.0001197011,0.0010244228,0.0010850143,0.0002622586,0.00013844947],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033428876,0.00049648905,0.001210244,0.0003683222,0.00015736639,0.00022202956,0.00036681764,0.00056778395,0.006939253],"category_scores_gemma":[0.0015528204,0.00044684028,0.00033678068,0.00041748513,0.00006876352,0.0002473997,0.00014844758,0.0005963964,0.00044718094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001007745,0.0011591151,0.12149195,0.0014035332,0.0011726735,0.00013042422,0.00019166956,0.0000504894,0.000004050618,0.5627873,0.30176213,0.0097458875],"study_design_scores_gemma":[0.00024361207,0.000085624575,0.0057405215,0.000029068377,0.000021704593,0.000037565755,0.000015218109,0.000057702284,0.000010306617,0.0414142,0.9515453,0.0007991964],"about_ca_topic_score_codex":0.0020806887,"about_ca_topic_score_gemma":0.0004140107,"teacher_disagreement_score":0.64978313,"about_ca_system_score_codex":0.0006264024,"about_ca_system_score_gemma":0.00051839935,"threshold_uncertainty_score":0.99979836},"labels":[],"label_agreement":null},{"id":"W3124803554","doi":"","title":"Shocking Aspects of Canadian Labour Markets","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Context (archaeology); Flexibility (engineering); Labour economics; Labour market flexibility; Economics; Geography; Economic growth","score_opus":0.036999856822990694,"score_gpt":0.2724370463002423,"score_spread":0.2354371894772516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124803554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52900934,0.00040996526,0.00000459891,0.0003836517,0.00063263474,0.00041855517,0.0015609699,0.000017119133,0.46756318],"genre_scores_gemma":[0.99039614,0.0057101906,0.00054716854,0.00009757946,0.00024510678,0.00009008747,0.00019028963,0.00010470553,0.0026187357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953091,0.00017493605,0.0018139931,0.00129964,0.000118366894,0.0012839326],"domain_scores_gemma":[0.9968094,0.0004149232,0.00072624313,0.0015178889,0.00016940864,0.00036210832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005266714,0.00042318064,0.0012143371,0.003608007,0.0001534507,0.00020722473,0.001164523,0.0007728525,0.0004217797],"category_scores_gemma":[0.00084422925,0.0005680026,0.00031526748,0.0006597059,0.00024814042,0.00012980303,0.0008297781,0.0017564474,0.00002768544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000688719,0.0002443241,0.22262526,0.0006309483,0.00021109416,0.0001189801,0.00025118922,0.0047680777,0.0000093013405,0.7420648,0.00013194182,0.028875249],"study_design_scores_gemma":[0.00086208165,0.000059011913,0.35540262,0.00032028792,0.0000066726784,0.0000058957125,0.00010529634,0.010309942,0.000036620713,0.53238195,0.09938829,0.0011213103],"about_ca_topic_score_codex":0.19927952,"about_ca_topic_score_gemma":0.27095577,"teacher_disagreement_score":0.46494445,"about_ca_system_score_codex":0.0021199887,"about_ca_system_score_gemma":0.0009776584,"threshold_uncertainty_score":0.9996771},"labels":[],"label_agreement":null},{"id":"W3124807832","doi":"","title":"Dynamic Contracts with Worker Mobility via Directed On-the-Job Search","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Unemployment; Labour economics; Homogeneous; Wage; Turnover; Economics; Incentive; Ex-ante; Implicit contract theory; Duration (music); Microeconomics; Labor relations","score_opus":0.04341444900872652,"score_gpt":0.2935031364030284,"score_spread":0.25008868739430185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124807832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8624935,0.00039176818,0.000046732577,0.0017095254,0.0005595601,0.0017982556,0.00084507314,0.000104302664,0.13205124],"genre_scores_gemma":[0.99285185,0.0025919864,0.00043884217,0.00023469575,0.00013483573,0.0005074607,0.00015660454,0.00015830615,0.002925409],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938224,0.0005830089,0.0016321887,0.0021120082,0.00028622017,0.0015641762],"domain_scores_gemma":[0.9939361,0.0016392195,0.00058236683,0.0029689053,0.0004103825,0.0004630323],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012747991,0.00067422603,0.0014337536,0.000750225,0.00029477236,0.00047991844,0.0016678156,0.00080050924,0.00034437425],"category_scores_gemma":[0.0013944589,0.0006010636,0.00028844044,0.0005219069,0.0007525092,0.00017137226,0.0012801385,0.004119014,0.00014851321],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006369792,0.00586562,0.40984404,0.001205688,0.0032007017,0.00065025134,0.003946241,0.12348764,0.00004955943,0.25831762,0.00068378035,0.18637905],"study_design_scores_gemma":[0.003916516,0.000723843,0.23857556,0.00070804806,0.000027750704,0.000024722929,0.00062495,0.35020325,0.000025071615,0.37641585,0.025691638,0.00306278],"about_ca_topic_score_codex":0.0011229806,"about_ca_topic_score_gemma":0.0023540342,"teacher_disagreement_score":0.22671562,"about_ca_system_score_codex":0.003092878,"about_ca_system_score_gemma":0.00073140865,"threshold_uncertainty_score":0.9996441},"labels":[],"label_agreement":null},{"id":"W3124824990","doi":"","title":"Sorting it Out: International Trade with Heterogeneous Workers","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Sorting; Bundle; Business; Labour economics; Economics; Computer science; Mathematics","score_opus":0.015347870022238398,"score_gpt":0.23598362696119873,"score_spread":0.22063575693896034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124824990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84127253,0.0016191719,0.12729928,0.005346928,0.000992883,0.00012819456,0.000024119843,0.000042037886,0.023274863],"genre_scores_gemma":[0.9973081,0.0007044071,0.00031630145,0.0003636991,0.00037408763,0.0000017047796,0.000006971502,0.00003055056,0.00089423097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735415,0.000014409809,0.0006740849,0.00026323152,0.00008970042,0.001604429],"domain_scores_gemma":[0.9991722,0.000044163764,0.0005012945,0.00016151942,0.00001987539,0.00010091056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003864347,0.00015495706,0.00023417041,0.00016913471,0.00015119494,0.0001111774,0.00033154708,0.00007864132,0.00008425374],"category_scores_gemma":[0.00006686762,0.0001484734,0.00012576337,0.0001415873,0.000036733672,0.00018862137,0.000029248962,0.001021861,0.000030173776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019644512,0.00010963661,0.21148369,0.0000047989165,0.00047339106,0.000043783544,0.0003835855,0.00034529783,0.000015447536,0.7741562,0.00003930163,0.012748439],"study_design_scores_gemma":[0.0020749255,0.00041361776,0.01677902,0.00003958617,0.000023548993,0.0008842989,0.0017275959,0.001321439,0.000048753773,0.9482304,0.02772442,0.0007324145],"about_ca_topic_score_codex":0.000070315255,"about_ca_topic_score_gemma":0.0019137209,"teacher_disagreement_score":0.19470467,"about_ca_system_score_codex":0.00092432153,"about_ca_system_score_gemma":0.00021185137,"threshold_uncertainty_score":0.60545695},"labels":[],"label_agreement":null},{"id":"W3124831905","doi":"","title":"Measuring Resource Utilization in the Labor Market","year":2014,"lang":"en","type":"article","venue":"Economic quarterly - Federal Reserve Bank of Richmond","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Unemployment; Economics; Discouraged worker; Index (typography); Work (physics); Labour economics; Unemployment rate; Recession; Population; Great recession; Resource (disambiguation); Labor demand; Macroeconomics","score_opus":0.04188082916365165,"score_gpt":0.23742819127608897,"score_spread":0.1955473621124373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124831905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92237645,0.00044360833,0.0005462112,0.0014946737,0.00025290012,0.00028626918,0.0001693904,0.000022431068,0.07440806],"genre_scores_gemma":[0.99826264,0.00004087576,0.00017464723,0.0003323314,0.00015419042,0.000033904565,0.000035670724,0.000031538788,0.00093418546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99750674,0.00025888873,0.0012048155,0.00052721763,0.00007625017,0.00042606902],"domain_scores_gemma":[0.99815595,0.0003912313,0.0005921369,0.00075261586,0.00003570403,0.000072334115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004311639,0.00023221178,0.00055665505,0.00025662238,0.00013961017,0.00020590328,0.00070460705,0.00014168413,0.00045574445],"category_scores_gemma":[0.00021155995,0.00022307421,0.00016061525,0.00023724476,0.0000752591,0.0003827902,0.000047966554,0.00023581285,0.00009830069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023624623,0.00024754583,0.38260967,0.000167863,0.00008645008,0.000005926523,0.0028919699,0.00048444493,0.000023730578,0.6011355,0.0050904173,0.007020278],"study_design_scores_gemma":[0.0020303973,0.0005035955,0.5913113,0.000058510002,0.000008668824,0.000004904467,0.00069666404,0.051022556,0.000032585824,0.27545583,0.07822755,0.00064746354],"about_ca_topic_score_codex":0.0017974443,"about_ca_topic_score_gemma":0.001663435,"teacher_disagreement_score":0.32567966,"about_ca_system_score_codex":0.0001674248,"about_ca_system_score_gemma":0.000031277043,"threshold_uncertainty_score":0.90967023},"labels":[],"label_agreement":null},{"id":"W3124834958","doi":"","title":"A General Equilibrium Evaluation of the Employment Service","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Partial equilibrium; General equilibrium theory; Matching (statistics); Economics; Aggregate (composite); Channel (broadcasting); Service (business); Computer science; Search cost; Mathematical economics; Microeconomics; Mathematics; Economy","score_opus":0.0781009640073875,"score_gpt":0.3309879476361702,"score_spread":0.2528869836287827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124834958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92432576,0.00024215807,0.0000033999365,0.001306815,0.001514746,0.0011528636,0.00059950526,0.0000145186605,0.07084021],"genre_scores_gemma":[0.9971217,0.0008172383,0.00030043794,0.00018535451,0.00026616067,0.00029549314,0.00007404817,0.00006628534,0.000873279],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961689,0.00037268552,0.001512549,0.0010215223,0.00026579804,0.0006585162],"domain_scores_gemma":[0.99622506,0.00022053177,0.0008631014,0.0021402736,0.00042874302,0.00012231791],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011963281,0.00031186437,0.0007564599,0.00040595888,0.00009864599,0.00014064595,0.0014431007,0.0006380688,0.00034439802],"category_scores_gemma":[0.0009210693,0.0003116481,0.00030022673,0.0003075777,0.00021027826,0.00010793648,0.0021389767,0.0019487371,0.00001702032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030761224,0.0016868573,0.35332376,0.0013478303,0.0008828837,0.000008757318,0.0028018577,0.17267719,0.0012852448,0.32534093,0.0001164659,0.14022061],"study_design_scores_gemma":[0.0015278714,0.000053258074,0.13437934,0.00017785649,0.000028540608,0.000003236963,0.000107623746,0.4130405,0.00026127158,0.4378902,0.011749973,0.000780316],"about_ca_topic_score_codex":0.0014658652,"about_ca_topic_score_gemma":0.002426902,"teacher_disagreement_score":0.2403633,"about_ca_system_score_codex":0.0010894018,"about_ca_system_score_gemma":0.00069338584,"threshold_uncertainty_score":0.99993354},"labels":[],"label_agreement":null},{"id":"W3124845223","doi":"","title":"Generalized measures of wage differentials","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for International Peace and Security","funders":"","keywords":"Wage; Economics; Compensating differential; Disadvantage; Distribution (mathematics); Labour economics; Inequality; Wage inequality; Econometrics; Estimation; Efficiency wage; Demographic economics; Wage share; Mathematics","score_opus":0.08822021647706364,"score_gpt":0.2513271126555113,"score_spread":0.16310689617844765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124845223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93287474,0.0022801836,0.011886985,0.00014592377,0.0015147445,0.00030509548,0.0013956535,0.00005649773,0.049540162],"genre_scores_gemma":[0.9906466,0.0045302836,0.0022571431,0.00012515338,0.00019083972,0.000032258755,0.00014236194,0.000041475792,0.0020338723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976853,0.000057326462,0.0013463802,0.0005120541,0.00007616599,0.0003227798],"domain_scores_gemma":[0.9979565,0.00005347862,0.0009451257,0.00085954636,0.00008272412,0.00010263681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008639608,0.00030288237,0.0011948309,0.00023756681,0.00004486022,0.000043849872,0.00045835212,0.00038453497,0.0006146641],"category_scores_gemma":[0.00019609756,0.00031056983,0.0004449597,0.000108598586,0.000075078344,0.00006157731,0.0005392897,0.0003084706,0.000050294715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025821537,0.00025084024,0.06548139,0.0001789842,0.00032698328,0.000003089455,0.00024106466,0.00018375088,0.000045618362,0.93149817,0.001303188,0.00046110945],"study_design_scores_gemma":[0.0016041326,0.000056056622,0.122340895,0.00011098017,0.0000505724,0.0000045545953,0.000019466343,0.0051442273,0.001131065,0.8397976,0.02795781,0.0017826348],"about_ca_topic_score_codex":0.00224247,"about_ca_topic_score_gemma":0.000036563022,"teacher_disagreement_score":0.091700554,"about_ca_system_score_codex":0.000079414196,"about_ca_system_score_gemma":0.00003847838,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W3124867544","doi":"","title":"Are Labor Force Participation Rates Really Non-Stationary? Evidence from Three OECD Countries","year":2012,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment rate; Unemployment; Value (mathematics); Structural break; Empirical evidence; Econometrics; Labour economics; Demographic economics; Macroeconomics; Mathematics; Statistics","score_opus":0.049522231533717716,"score_gpt":0.24944052336892766,"score_spread":0.19991829183520995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124867544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669632,0.0040690415,0.007178546,0.0017321791,0.00050442666,0.00084502,0.014051926,0.00011870469,0.0045369766],"genre_scores_gemma":[0.9844201,0.005708853,0.006721407,0.00021773337,0.000174562,0.000012533423,0.0011149154,0.00008776371,0.0015421348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99677444,0.00022618522,0.0009374343,0.0011131649,0.00029127323,0.00065749465],"domain_scores_gemma":[0.99451774,0.0009268712,0.0023886545,0.0014835291,0.00037238933,0.0003107826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012472918,0.0005633915,0.0012014332,0.00035265842,0.00040519403,0.00009759537,0.0015586935,0.00043299116,0.00081554364],"category_scores_gemma":[0.00046590823,0.00074957154,0.00047987554,0.0001864792,0.00060179865,0.00060249283,0.0017108103,0.00093945605,0.00014052585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011777366,0.0005080322,0.93559074,0.0009124794,0.0010059508,0.00009580565,0.022039639,0.0011492204,0.00009256667,0.03477559,0.0010779004,0.0015743127],"study_design_scores_gemma":[0.00089213334,0.00008317566,0.8663876,0.00075519027,0.00016261825,0.0000016152977,0.0019465064,0.03133272,0.000016042812,0.087894425,0.009595707,0.00093223545],"about_ca_topic_score_codex":0.01632604,"about_ca_topic_score_gemma":0.017340837,"teacher_disagreement_score":0.06920314,"about_ca_system_score_codex":0.00043232046,"about_ca_system_score_gemma":0.0002745348,"threshold_uncertainty_score":0.9994955},"labels":[],"label_agreement":null},{"id":"W3124879204","doi":"","title":"Internet Job Search and Unemployment Durations","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"The Internet; Unemployment; Internet users; Selection (genetic algorithm); Duration (music); Population; Demographic economics; Work (physics); Business; Labour economics; Computer science; Economics; World Wide Web; Engineering; Sociology; Demography; Artificial intelligence; Economic growth","score_opus":0.07588693902022872,"score_gpt":0.3018793852057807,"score_spread":0.225992446185552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124879204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85656923,0.00082249066,0.000041665655,0.0013484951,0.00053061394,0.000748223,0.00069775415,0.0000413508,0.13920018],"genre_scores_gemma":[0.9665289,0.020441866,0.00050689856,0.000119178796,0.0001922916,0.0002087677,0.000090549096,0.00008328977,0.01182827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99595904,0.00018860502,0.0013932139,0.0014378806,0.00011208179,0.0009091833],"domain_scores_gemma":[0.99783266,0.00034591512,0.00025349288,0.0011880432,0.000099320794,0.00028057257],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036332794,0.00038608018,0.00086356443,0.000886219,0.00015307583,0.00047790204,0.00075167307,0.0005396627,0.0006755459],"category_scores_gemma":[0.00040084007,0.0004811338,0.00018531384,0.00020382309,0.0003450601,0.00015729782,0.0018366233,0.0019320135,0.00008501523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104765364,0.00061136665,0.40498582,0.0006945439,0.0004262758,0.00009120777,0.0022650408,0.006716594,0.00001004254,0.5139375,0.00023325978,0.06992365],"study_design_scores_gemma":[0.0026973616,0.00035538527,0.18028988,0.00047512958,0.00001648054,0.000030174559,0.0006543747,0.38065988,0.00003746673,0.33835632,0.09376786,0.002659704],"about_ca_topic_score_codex":0.0011587931,"about_ca_topic_score_gemma":0.0009312552,"teacher_disagreement_score":0.37394327,"about_ca_system_score_codex":0.0011062868,"about_ca_system_score_gemma":0.0001242901,"threshold_uncertainty_score":0.999764},"labels":[],"label_agreement":null},{"id":"W3124900268","doi":"10.2139/ssrn.2923670","title":"Occupational Choice and Matching in the Labor Market","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Matching (statistics); Inequality; Distribution (mathematics); Educational attainment; Labour economics; Econometrics","score_opus":0.018264644282504777,"score_gpt":0.2582447554287349,"score_spread":0.2399801111462301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124900268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833899,0.0018311146,0.0010484321,0.0041869944,0.00018035344,0.00007629501,0.00003928125,0.000004393912,0.009243201],"genre_scores_gemma":[0.9960247,0.002622964,0.000060794875,0.00033522907,0.0002004597,0.0000045234183,0.0000021608648,0.00000990018,0.0007392622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858344,0.000045573615,0.0003366335,0.00017563748,0.0000510977,0.0008076113],"domain_scores_gemma":[0.9991833,0.00010717533,0.0003719233,0.0002829764,0.000022690167,0.000031914857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053364495,0.00009527216,0.00016663419,0.00007972233,0.0004787877,0.00037365532,0.00047129404,0.000052369218,0.000054635813],"category_scores_gemma":[0.00033355807,0.000079003825,0.00004799352,0.00005593998,0.00004512874,0.0003446363,0.000054133452,0.0009007809,0.000010546588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010899231,0.000018354527,0.36006606,0.0000023947696,0.000014520058,0.0000013430806,0.0000964873,0.000002206941,7.4526673e-7,0.6381986,0.000022981958,0.0015654035],"study_design_scores_gemma":[0.00027578167,0.000016669406,0.47368583,0.0000039927827,0.0000015158888,0.000026985468,0.00010834242,0.0002008978,7.904286e-8,0.5234109,0.002205203,0.00006376692],"about_ca_topic_score_codex":0.00097356236,"about_ca_topic_score_gemma":0.0038944767,"teacher_disagreement_score":0.11478765,"about_ca_system_score_codex":0.00021276964,"about_ca_system_score_gemma":0.00019620055,"threshold_uncertainty_score":0.3913495},"labels":[],"label_agreement":null},{"id":"W3124904025","doi":"","title":"How Much of Canada's Unemployment Is Structural?","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Unemployment rate; Structural unemployment; Labour economics; Work (physics); Index (typography); Wage; Beveridge curve; Macroeconomics; Engineering","score_opus":0.03309405116933153,"score_gpt":0.27055897962956477,"score_spread":0.23746492846023323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124904025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8963589,0.0006260716,0.0000028008806,0.0031612183,0.0007031273,0.000641341,0.0030667346,0.00001679077,0.09542299],"genre_scores_gemma":[0.9843801,0.0069355587,0.00027390744,0.00019676148,0.00016014346,0.00009114105,0.00012341056,0.00008068131,0.007758297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586713,0.000121315985,0.0014772047,0.0013111894,0.00017705595,0.0010460978],"domain_scores_gemma":[0.9969842,0.00025990923,0.000714475,0.0016566991,0.00012657164,0.00025817787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020168258,0.00044080746,0.0012562857,0.00056202285,0.00013598547,0.00023043575,0.0011579978,0.0005050819,0.00064106577],"category_scores_gemma":[0.0003089188,0.0005296492,0.0002670379,0.00022747989,0.00022937516,0.00011405963,0.0008446268,0.0014219094,0.000004083966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063969515,0.00063662167,0.3411418,0.0026343171,0.0017203275,0.00021751448,0.0024172124,0.015572227,0.00003528794,0.38327608,0.0020700018,0.24963892],"study_design_scores_gemma":[0.0019378671,0.00019482605,0.05280351,0.00034428757,0.000015677917,0.00000932641,0.0006505239,0.04092602,0.00030173513,0.7097606,0.19076404,0.002291572],"about_ca_topic_score_codex":0.11142834,"about_ca_topic_score_gemma":0.14874487,"teacher_disagreement_score":0.32648453,"about_ca_system_score_codex":0.0021270805,"about_ca_system_score_gemma":0.0011954887,"threshold_uncertainty_score":0.9997155},"labels":[],"label_agreement":null},{"id":"W3124955075","doi":"10.2139/ssrn.1963790","title":"Firm-Sponsored Classroom Training: Is it Worth it for Older Workers?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Training (meteorology); Business; Psychology; Mathematics education; Labour economics; Medical education; Economics; Geography; Medicine","score_opus":0.060391068596902506,"score_gpt":0.2540082660361094,"score_spread":0.19361719743920686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124955075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84769464,0.004644314,0.10258253,0.008222161,0.0013844924,0.0006848059,0.0002906733,0.00006609416,0.034430273],"genre_scores_gemma":[0.9838942,0.0019306494,0.0010477692,0.001141918,0.00030514027,0.000030606647,0.000013498213,0.000059752387,0.011576447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99608123,0.0000401308,0.00093003694,0.00046992212,0.00007480136,0.0024038958],"domain_scores_gemma":[0.9986674,0.00010025212,0.00061555405,0.00036020542,0.00009175062,0.00016482068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00401797,0.00026658544,0.0005044797,0.00022786831,0.00027177492,0.00010758785,0.0005040007,0.00019694131,0.00090570125],"category_scores_gemma":[0.0001822004,0.0002794831,0.00038186135,0.00027999116,0.000054701923,0.00030254407,0.00004279617,0.0011559579,0.00010428771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031189134,0.00019778566,0.054449033,0.000018578043,0.0005243615,0.0000052456426,0.0048374343,0.0000053081067,0.0000026145963,0.9242782,0.0024886609,0.012880865],"study_design_scores_gemma":[0.0016909854,0.00028688612,0.013337061,0.000027548002,0.00003122135,0.00006059538,0.0036922086,0.0007572504,0.0000058185283,0.9247138,0.05490989,0.0004867323],"about_ca_topic_score_codex":0.00015857282,"about_ca_topic_score_gemma":0.0007374948,"teacher_disagreement_score":0.13619956,"about_ca_system_score_codex":0.00062702206,"about_ca_system_score_gemma":0.0006618853,"threshold_uncertainty_score":0.9999657},"labels":[],"label_agreement":null},{"id":"W3124978392","doi":"","title":"Should We Teach Old Dogs New Tricks? The Impact of Community College Retraining on Older Displaced Workers. WP 2003-25.","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retraining; Earnings; Displaced workers; Demographic economics; Quarter (Canadian coin); Rate of return; Labour economics; Psychology; Demography; Gerontology; Business; Medicine; Economics; Geography; Sociology; Finance","score_opus":0.06944422288376043,"score_gpt":0.2936468735430868,"score_spread":0.22420265065932635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124978392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7674301,0.00038782854,0.0019440643,0.001342601,0.00035255624,0.0004966214,0.0004524887,0.000046311547,0.22754742],"genre_scores_gemma":[0.9822664,0.00011656278,0.000358445,0.00050850236,0.000051061186,0.000011976831,0.00002112707,0.00004049037,0.016625378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99784064,0.0003075674,0.0009581441,0.00030720345,0.00009672483,0.0004897062],"domain_scores_gemma":[0.9975189,0.00057226245,0.0005294763,0.0011198698,0.00008288122,0.00017663144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003789672,0.00031564847,0.00069631456,0.00021130733,0.0003180128,0.00008723937,0.00056116143,0.00023284067,0.0020167506],"category_scores_gemma":[0.0010908536,0.00023008815,0.00031467216,0.0012397248,0.00010107426,0.00017506113,0.00008109696,0.000866377,0.00005378621],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012453855,0.00054611976,0.2555217,0.000031378895,0.0002666864,0.0000029121659,0.002311176,0.00019671673,0.000007768903,0.68327487,0.056190707,0.00152545],"study_design_scores_gemma":[0.006664358,0.0009455985,0.76766616,0.00015681547,0.000053501164,0.000013002187,0.0039648633,0.008354996,0.000075839314,0.16626239,0.044305883,0.0015366082],"about_ca_topic_score_codex":0.008823982,"about_ca_topic_score_gemma":0.0002754429,"teacher_disagreement_score":0.5170125,"about_ca_system_score_codex":0.0002551661,"about_ca_system_score_gemma":0.00013455775,"threshold_uncertainty_score":0.9988955},"labels":[],"label_agreement":null},{"id":"W3125004282","doi":"","title":"Worker Search Effort as an Amplification Mechanism","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Economic rent; Economics; Labour economics; Search cost; Population; Survey data collection; Current Population Survey; Elasticity (physics); Econometrics; Microeconomics; Macroeconomics; Mathematics; Statistics","score_opus":0.07513296235637265,"score_gpt":0.3298730581988265,"score_spread":0.25474009584245383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125004282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8308489,0.00024331445,0.000109826484,0.00049119117,0.0009330811,0.0010856005,0.00053253776,0.000077895646,0.16567771],"genre_scores_gemma":[0.98833656,0.005110656,0.0010999157,0.00015756873,0.00041935223,0.0003519616,0.0005773209,0.00015595338,0.0037907104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944776,0.0002752253,0.0016918861,0.0020668204,0.0002197581,0.0012686877],"domain_scores_gemma":[0.995767,0.00023064532,0.00051727076,0.0025860472,0.00032200207,0.0005770506],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012556844,0.00050362764,0.0011042975,0.0011123602,0.00021464597,0.0005738081,0.0015812255,0.0010098027,0.00042401932],"category_scores_gemma":[0.0006586234,0.0006356545,0.0002552216,0.0003474764,0.00025545378,0.00033200733,0.0015268095,0.0024956262,0.0003132833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023453165,0.000630123,0.032307032,0.00019595126,0.00018776042,0.00004589701,0.0010885522,0.0049565677,0.000016195372,0.91289467,0.000049213224,0.047393538],"study_design_scores_gemma":[0.00079294614,0.00016901664,0.011819384,0.000094025,0.000005681058,0.0000073654755,0.00044929894,0.039043605,0.000028701948,0.9307669,0.015912633,0.0009104466],"about_ca_topic_score_codex":0.0014502641,"about_ca_topic_score_gemma":0.0005087243,"teacher_disagreement_score":0.16188699,"about_ca_system_score_codex":0.002285869,"about_ca_system_score_gemma":0.000735915,"threshold_uncertainty_score":0.9998056},"labels":[],"label_agreement":null},{"id":"W3125029120","doi":"10.1257/aer.p20171014","title":"Wage Inequality and Firm Growth","year":2017,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage inequality; Economics; Inequality; Labour economics; Wage; Wage share; Wage growth; Efficiency wage","score_opus":0.035761079219912624,"score_gpt":0.280464036684472,"score_spread":0.2447029574645594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125029120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82995826,0.052031253,0.00031659877,0.012017212,0.0006102866,0.00060120475,0.0005779965,0.0000647186,0.10382244],"genre_scores_gemma":[0.8579743,0.13882858,0.00033313624,0.002428414,0.00009267534,0.000032245847,0.000013012136,0.000024102219,0.0002735221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99820566,0.00004130012,0.0008590835,0.00057417084,0.000019932937,0.00029987888],"domain_scores_gemma":[0.997175,0.000073611904,0.001427587,0.0011562704,0.00002008421,0.00014743992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016100921,0.00021069722,0.0009897867,0.000050276387,0.0002563831,0.0001903573,0.000540215,0.000037634858,0.00032269023],"category_scores_gemma":[0.00045360412,0.00022534252,0.00015264656,0.000041347168,0.00036978186,0.000372211,0.0002360678,0.00013598251,0.0005193172],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006838761,0.000034404242,0.42113826,0.0005459544,0.000081823084,0.000005264705,0.00003906604,3.299709e-7,8.37957e-7,0.5193923,0.0014097736,0.05734517],"study_design_scores_gemma":[0.0004921102,0.00009057085,0.6994131,0.000344339,0.000029932055,0.000010998229,0.000016278338,0.0003926191,0.0000030308797,0.09141054,0.20700973,0.00078674505],"about_ca_topic_score_codex":0.0037525587,"about_ca_topic_score_gemma":0.00015429386,"teacher_disagreement_score":0.42798173,"about_ca_system_score_codex":0.00010896317,"about_ca_system_score_gemma":0.000023661032,"threshold_uncertainty_score":0.91892016},"labels":[],"label_agreement":null},{"id":"W3125049643","doi":"10.34989/swp-2013-45","title":"Expansion of Higher Education, Employment and Wages: Evidence from the Russian Transition","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; National Institutes of Health; National Research University Higher School of Economics; United States Agency for International Development","keywords":"Economics; Labour economics; Educational attainment; Russian federation; Demographic economics; Natural experiment; Estimation; Higher education; Human capital; Variation (astronomy); Education economics; Education policy; Economic growth","score_opus":0.05708347264485199,"score_gpt":0.31457864058632723,"score_spread":0.25749516794147526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125049643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786641,0.0065428973,0.000030468287,0.0045624766,0.0007848029,0.0005552072,0.00040828658,0.000012199312,0.008439547],"genre_scores_gemma":[0.9591115,0.038888477,0.0005402803,0.00025168082,0.0002056867,0.00015884751,0.00016142697,0.000039376875,0.0006427073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718475,0.00024910492,0.0011215426,0.0009757449,0.000097697426,0.0003711353],"domain_scores_gemma":[0.99744606,0.0007241952,0.0004438005,0.0011908271,0.00008075902,0.000114343646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024765348,0.00025072857,0.0006509495,0.00022391831,0.00012650217,0.00022751336,0.00053917256,0.00034811767,0.0003773881],"category_scores_gemma":[0.00026856037,0.00024849726,0.00016223056,0.00016143237,0.00023524619,0.00019503354,0.000562321,0.00088465255,0.00000372563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004897116,0.0015909816,0.4258261,0.0016274331,0.0009171786,0.000038754875,0.018185066,0.0057850494,0.0003587322,0.3010772,0.00021885763,0.24388494],"study_design_scores_gemma":[0.0006916108,0.00010298577,0.7190583,0.0019499896,0.000024495503,0.0000026441548,0.0015422767,0.0046582664,0.00012473529,0.26194978,0.009068006,0.0008269543],"about_ca_topic_score_codex":0.0038800486,"about_ca_topic_score_gemma":0.00058357354,"teacher_disagreement_score":0.29323214,"about_ca_system_score_codex":0.0004948333,"about_ca_system_score_gemma":0.0004501824,"threshold_uncertainty_score":0.9999967},"labels":[],"label_agreement":null},{"id":"W3125087010","doi":"","title":"Fixed-Term and Permanent Employment Contracts: Theory and Evidence","year":2011,"lang":"en","type":"article","venue":"2011 Meeting Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Term (time); Externality; Fixed cost; Labour economics; Economics; Wage; Microeconomics; Quality (philosophy); Ex-ante; Business","score_opus":0.04354364510876123,"score_gpt":0.2332449292978268,"score_spread":0.18970128418906557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125087010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95300704,0.0071187154,0.000040610736,0.0001918079,0.00020101754,0.00014645205,0.000025983707,0.000032840147,0.039235532],"genre_scores_gemma":[0.99618185,0.002131262,0.00038280262,0.00041362847,0.00003854786,0.0000137526595,0.0000021217138,0.000018245782,0.000817775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888766,0.00006077278,0.00038509505,0.000384983,0.000034706594,0.00024678232],"domain_scores_gemma":[0.9991781,0.00022583529,0.00022234397,0.00024026369,0.000019817106,0.00011365226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020332695,0.00014699284,0.00025538178,0.00006130929,0.00011366452,0.000053764747,0.00012063603,0.00007237931,0.00033734168],"category_scores_gemma":[0.00028866038,0.00014545085,0.000043327494,0.00003523694,0.00011046671,0.00015344129,0.000095719784,0.00010702721,0.00004970065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001137517,0.000066861474,0.5321807,0.00007446777,0.00007959595,0.000015296819,0.0037590647,6.9252917e-7,0.0005612754,0.45891288,0.00004454692,0.0041908533],"study_design_scores_gemma":[0.00072077254,0.00013461213,0.9356441,0.00021453743,0.000033923498,0.000015582838,0.0003916626,0.000107448315,0.0001535996,0.05649865,0.0054723998,0.0006127297],"about_ca_topic_score_codex":0.0004357783,"about_ca_topic_score_gemma":0.000052820596,"teacher_disagreement_score":0.40346336,"about_ca_system_score_codex":0.000036275214,"about_ca_system_score_gemma":0.00000872772,"threshold_uncertainty_score":0.5931313},"labels":[],"label_agreement":null},{"id":"W3125106318","doi":"10.3386/w22762","title":"Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recession; Vacancy defect; Great recession; Economics; Keynesian economics; Physics; Condensed matter physics","score_opus":0.660150247141514,"score_gpt":0.5172143140677071,"score_spread":0.14293593307380692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125106318","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21225184,0.020541716,0.00018968657,0.019484123,0.00321242,0.0026167165,0.016798329,0.00019304376,0.72471213],"genre_scores_gemma":[0.97473973,0.016860938,0.00041423488,0.00007573253,0.001494503,0.00034870597,0.00056351937,0.000080583144,0.0054220557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946945,0.00021236991,0.0021373073,0.0015124219,0.0006645782,0.0007788424],"domain_scores_gemma":[0.9922789,0.0033530763,0.0016510148,0.0009368359,0.00157215,0.0002080707],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014808357,0.00042130495,0.0012552292,0.0013062747,0.0002549184,0.00021320902,0.0015795467,0.0011346831,0.004290028],"category_scores_gemma":[0.010775635,0.00038993798,0.00034820594,0.00050474785,0.00044484658,0.0005580059,0.0007458241,0.0012890302,0.00077300903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001786837,0.00022703987,0.13384502,0.00022379437,0.00038991403,0.000019485407,0.00009585045,0.000010182439,0.00015547572,0.8364959,0.019326407,0.009032292],"study_design_scores_gemma":[0.0005471622,0.00009746342,0.023149218,0.0010390602,0.000008937789,0.0000048711086,0.000020538631,0.00029748154,0.000092338516,0.9501668,0.023997152,0.00057893497],"about_ca_topic_score_codex":0.008335869,"about_ca_topic_score_gemma":0.0002070253,"teacher_disagreement_score":0.7624879,"about_ca_system_score_codex":0.0029212686,"about_ca_system_score_gemma":0.0013259382,"threshold_uncertainty_score":0.9998553},"labels":[],"label_agreement":null},{"id":"W3125189755","doi":"","title":"The Impact of Minimum Wages on Wages, Work and Poverty in Nicaragua","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Minimum wage; Poverty; Labour economics; Unemployment; Economics; Private sector; Wage; Working poor; Public sector; Panel data; Distribution (mathematics); Work (physics); Efficiency wage; Demographic economics; Economic growth; Economy","score_opus":0.048722930016305246,"score_gpt":0.29354106134523805,"score_spread":0.24481813132893282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125189755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9024759,0.00031731642,6.5425866e-7,0.00018711144,0.00009572896,0.00025465892,0.000088139466,0.000006536033,0.096573986],"genre_scores_gemma":[0.9912998,0.007950571,0.000069793605,0.00004150726,0.000027304992,0.000032433873,0.000003982675,0.000027045833,0.0005475699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979046,0.00012192604,0.00082537543,0.0004997194,0.000050930856,0.0005974771],"domain_scores_gemma":[0.9980667,0.00084712845,0.0002368557,0.0007019143,0.000033904966,0.000113459435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035196212,0.00017718012,0.0004571796,0.0003345226,0.000102511905,0.000061787374,0.0004396889,0.00015538474,0.00008920826],"category_scores_gemma":[0.00077243114,0.00014643709,0.0001353274,0.00029496086,0.00026499422,0.0001227659,0.0001969756,0.00049437373,0.000008478174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047627956,0.00027360572,0.87968695,0.00002181498,0.000076958044,0.000014379814,0.0006257444,0.00015599,0.000008211383,0.074042864,0.00004907065,0.04456812],"study_design_scores_gemma":[0.0007891327,0.0002497819,0.93416643,0.00003621079,0.0000010331127,0.0000013480421,0.00017890373,0.001304998,0.000022703329,0.061609242,0.001410296,0.00022992522],"about_ca_topic_score_codex":0.0010051457,"about_ca_topic_score_gemma":0.0004957557,"teacher_disagreement_score":0.09602642,"about_ca_system_score_codex":0.0003884645,"about_ca_system_score_gemma":0.00006842096,"threshold_uncertainty_score":0.5971531},"labels":[],"label_agreement":null},{"id":"W3125251624","doi":"","title":"Redistribution and Employment Policies with Endogenous Unemployment","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; McMaster University; Queen's University","funders":"","keywords":"Unemployment; Redistribution (election); Welfare economics; Economics; Labour economics; Subsidy; Political science; Market economy; Economic growth; Politics; Law","score_opus":0.051593146139561,"score_gpt":0.28403144603825614,"score_spread":0.23243829989869513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125251624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87767464,0.0008534328,0.00002267181,0.0007626207,0.00022278957,0.0009035419,0.0016220593,0.000049526032,0.117888704],"genre_scores_gemma":[0.9794333,0.018395958,0.0002836012,0.00011249979,0.00017354028,0.00029241218,0.00029236524,0.00008068272,0.00093564874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962541,0.00012855207,0.0011690517,0.0013310821,0.000121710604,0.0009954877],"domain_scores_gemma":[0.9979421,0.00020411056,0.00040432927,0.0011212179,0.00007228895,0.00025599136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002373725,0.0004422529,0.00092520786,0.0005878348,0.00021965713,0.00032719836,0.0005307874,0.00043935265,0.00015053805],"category_scores_gemma":[0.0001277618,0.0004858535,0.00013328996,0.00019552787,0.00038190407,0.00011619501,0.0007521035,0.0012261664,0.000017408429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010795787,0.0015160533,0.3071257,0.0008141361,0.00096560933,0.0002738366,0.0027133897,0.009916465,0.000046999907,0.50675094,0.000086104614,0.16871117],"study_design_scores_gemma":[0.005323254,0.0013673453,0.13180791,0.00082249456,0.000049863025,0.00013891608,0.00074347836,0.016877716,0.00019595918,0.689386,0.1492798,0.0040072603],"about_ca_topic_score_codex":0.0014042028,"about_ca_topic_score_gemma":0.00061357184,"teacher_disagreement_score":0.18263504,"about_ca_system_score_codex":0.0014794421,"about_ca_system_score_gemma":0.0002315632,"threshold_uncertainty_score":0.9997593},"labels":[],"label_agreement":null},{"id":"W3125258769","doi":"","title":"Productivity insurance: the role of unemployment benefits in a multi-sector model","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stylized fact; Unemployment; Productivity; Economics; Moral hazard; Consumption (sociology); Welfare; Matching (statistics); Labour economics; Consumption smoothing; Search cost; Microeconomics; Macroeconomics; Incentive","score_opus":0.06837746855361126,"score_gpt":0.29336720131928895,"score_spread":0.22498973276567769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125258769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98053765,0.0016294545,0.000015300286,0.00039953657,0.00031716554,0.0015689157,0.0011603582,0.000018355417,0.014353289],"genre_scores_gemma":[0.9896616,0.008221343,0.00063623977,0.000035110384,0.00008422271,0.0006928245,0.00004044676,0.000076481876,0.00055173354],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957717,0.00020825482,0.0016901704,0.0013424305,0.000128259,0.00085920433],"domain_scores_gemma":[0.9968539,0.00032737752,0.0007389251,0.0018067737,0.00014958391,0.00012343023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005225365,0.00039585188,0.001092571,0.00066635356,0.000098145756,0.00013550039,0.0012199897,0.0004821787,0.00006499656],"category_scores_gemma":[0.00074344204,0.00039219216,0.0002438847,0.00031290724,0.00031438586,0.00018297257,0.0013933247,0.0018262631,0.000015720318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000972601,0.0009004228,0.58048093,0.00027358858,0.00011369986,0.0000027857623,0.0011877967,0.27115366,0.00004440654,0.10025912,0.0000038843104,0.045482427],"study_design_scores_gemma":[0.00090377714,0.000050795763,0.2074558,0.00016913403,0.000002738491,0.0000010708537,0.00018607949,0.5668893,0.000094152165,0.22243826,0.0012129049,0.0005960155],"about_ca_topic_score_codex":0.0027487502,"about_ca_topic_score_gemma":0.0026558284,"teacher_disagreement_score":0.37302515,"about_ca_system_score_codex":0.0010646388,"about_ca_system_score_gemma":0.00031653207,"threshold_uncertainty_score":0.999853},"labels":[],"label_agreement":null},{"id":"W3125283466","doi":"","title":"The Role of University Characteristics in Determining Post-graduation Outcomes: Panel Evidence from Three Recent Canadian Cohorts","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Earnings; Bachelor; Demographic economics; Panel data; Economics; Psychology; Demography; Political science; Accounting; Econometrics; Sociology; Mathematics","score_opus":0.056795324110894205,"score_gpt":0.2686252020345166,"score_spread":0.2118298779236224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125283466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98598576,0.00041790903,0.000009788287,0.000760176,0.00044694677,0.00063800433,0.002098657,0.000010319703,0.009632464],"genre_scores_gemma":[0.9841841,0.015010102,0.00022191196,0.00003736321,0.00006031048,0.000025301677,0.00025875753,0.00003772707,0.00016441202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966889,0.0002439996,0.0013630246,0.0008665314,0.00010793733,0.00072959554],"domain_scores_gemma":[0.9960836,0.0016155896,0.00079115777,0.0011355602,0.00019419852,0.00017990099],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047872565,0.0002861596,0.00086549483,0.00068962766,0.0001971014,0.00016340874,0.0010075432,0.00043034487,0.000042962885],"category_scores_gemma":[0.0020734821,0.00032090346,0.00015932585,0.0002316364,0.00021497623,0.00016532457,0.0006057545,0.0011406838,0.000007716701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006632586,0.000046381294,0.9172982,0.000029240779,0.000049482176,0.000023377008,0.00021958638,0.00048436364,0.000004382833,0.003518607,0.0000015251331,0.078258514],"study_design_scores_gemma":[0.00025165483,0.000026319303,0.9389304,0.00017657736,0.00000501544,4.5428973e-7,0.0002229217,0.021059275,0.0000034640743,0.034819502,0.004188959,0.0003154405],"about_ca_topic_score_codex":0.2576405,"about_ca_topic_score_gemma":0.6610275,"teacher_disagreement_score":0.40338695,"about_ca_system_score_codex":0.0028346623,"about_ca_system_score_gemma":0.00085727265,"threshold_uncertainty_score":0.9999243},"labels":[],"label_agreement":null},{"id":"W3125296086","doi":"","title":"Adverse Selection and Moral Hazard: Quantitative Implications for Unemployment Insurance","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Adverse selection; Moral hazard; Economics; Spell; Incentive; Consumption (sociology); Actuarial science; Construct (python library); Selection (genetic algorithm); Microeconomics; Computer science; Economic growth","score_opus":0.09470002035641929,"score_gpt":0.33502150513367157,"score_spread":0.2403214847772523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125296086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509195,0.0007214512,0.00033406104,0.00046783773,0.00049001595,0.0015174674,0.0025099092,0.000052255356,0.042987477],"genre_scores_gemma":[0.9761973,0.01677451,0.0052859723,0.00005685146,0.00008405163,0.00097230467,0.00014122335,0.000072437666,0.00041537714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972452,0.0000769759,0.0009908642,0.0010384121,0.00003688794,0.000611658],"domain_scores_gemma":[0.99834275,0.0003300368,0.00038753997,0.00063572696,0.00014811546,0.00015584489],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021357508,0.00030095814,0.0006815896,0.00052569853,0.00019190056,0.00010468508,0.00040167023,0.00038138797,0.000028615237],"category_scores_gemma":[0.00034132146,0.00038602177,0.00017528758,0.00016747229,0.00020007805,0.00016254005,0.00039508424,0.0007588209,0.000007925097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012021323,0.00017397964,0.30437598,0.0002736593,0.00015796375,9.678902e-7,0.00039320733,0.0024407452,0.000011668322,0.6690608,0.000025291874,0.022965483],"study_design_scores_gemma":[0.00074925105,0.00018636388,0.25154284,0.000068404035,0.0000060481184,0.0000022600814,0.000094835006,0.018701475,0.000014079936,0.7219847,0.006096295,0.0005534449],"about_ca_topic_score_codex":0.00028565695,"about_ca_topic_score_gemma":0.00092157465,"teacher_disagreement_score":0.052923866,"about_ca_system_score_codex":0.0007691825,"about_ca_system_score_gemma":0.00016084326,"threshold_uncertainty_score":0.99985915},"labels":[],"label_agreement":null},{"id":"W3125356234","doi":"","title":"FIRM-SPONSORED CLASSROOM TRAINING: IS IT WORTH IT FOR OLDER WORKERS?","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"HEC Montréal","keywords":"Human capital; Training (meteorology); Productivity; Incentive; Wage; Investment (military); Labour economics; Demographic economics; Economics; Wage growth; Business; Economic growth; Microeconomics; Political science","score_opus":0.12007364064041848,"score_gpt":0.32705504911806094,"score_spread":0.20698140847764246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125356234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64196855,0.0008184571,0.00036081634,0.005425577,0.0024418526,0.0034245013,0.003971822,0.00009770083,0.34149075],"genre_scores_gemma":[0.96297836,0.008340943,0.0032158385,0.0010860054,0.0005216997,0.00120156,0.00037150047,0.00024936636,0.022034701],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992967,0.00018982915,0.0024234692,0.0024571568,0.00014116372,0.0018213888],"domain_scores_gemma":[0.9950086,0.0010752538,0.0010183273,0.0022563955,0.00020804023,0.00043338313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072777057,0.00072495866,0.0017566963,0.0011152836,0.00029147626,0.00041665343,0.0017261431,0.0012883705,0.0015362685],"category_scores_gemma":[0.0012299229,0.0009102413,0.0007848961,0.00032759373,0.000376072,0.00023985357,0.0011944028,0.0022727475,0.00010401919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028872362,0.0024708854,0.3145604,0.0027730674,0.0029845212,0.00015018003,0.03501379,0.0034821879,0.000009922065,0.2739309,0.013148843,0.34858805],"study_design_scores_gemma":[0.0037755049,0.00027187445,0.04728301,0.00066492864,0.000036802012,0.000008590573,0.004089436,0.02494027,0.0000175673,0.43112305,0.48500517,0.0027837807],"about_ca_topic_score_codex":0.00050750695,"about_ca_topic_score_gemma":0.0009349612,"teacher_disagreement_score":0.47185633,"about_ca_system_score_codex":0.0013057431,"about_ca_system_score_gemma":0.00066821976,"threshold_uncertainty_score":0.9993765},"labels":[],"label_agreement":null},{"id":"W3125369635","doi":"","title":"Wages, Implicit Contracts, and the Business Cycle: Evidence from a European Panel","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Productivity; Wage; Labour economics; Economics; Efficiency wage; Point (geometry); Wage bargaining; Panel data; Quality (philosophy); Business cycle; Work (physics); Collective bargaining; Macroeconomics; Econometrics","score_opus":0.0789191938413608,"score_gpt":0.2841490325486772,"score_spread":0.20522983870731637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125369635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87444764,0.005154642,0.00006777277,0.0014344045,0.0007529201,0.0011294972,0.0010076757,0.000050621376,0.11595481],"genre_scores_gemma":[0.917745,0.08033998,0.00030985178,0.0002572923,0.00035437456,0.00015439965,0.000086831926,0.000108818545,0.0006434447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9949203,0.0006767115,0.0016682398,0.0016985851,0.000108407956,0.0009277186],"domain_scores_gemma":[0.99462813,0.0020401534,0.000842348,0.0020787679,0.00017392909,0.00023667757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010258912,0.00050156476,0.0012919777,0.00038493462,0.0002663646,0.00059591176,0.0016012106,0.00043029382,0.00019793365],"category_scores_gemma":[0.0028955033,0.00046445042,0.00022480976,0.00023151505,0.000835642,0.00026638783,0.0025730282,0.0021038335,0.000066076485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023415126,0.000738507,0.19780713,0.000874867,0.0013534694,0.0003490437,0.008505218,0.002665674,0.000067987836,0.4706181,0.00011632256,0.31456217],"study_design_scores_gemma":[0.002590585,0.000037676244,0.5094184,0.00060556136,0.000025865438,0.000010855354,0.0002574879,0.010887124,0.0000062284807,0.4642057,0.010879849,0.0010746499],"about_ca_topic_score_codex":0.009419038,"about_ca_topic_score_gemma":0.001214351,"teacher_disagreement_score":0.3134875,"about_ca_system_score_codex":0.000486125,"about_ca_system_score_gemma":0.00019070691,"threshold_uncertainty_score":0.9997807},"labels":[],"label_agreement":null},{"id":"W3125388888","doi":"","title":"Employer-Supported Training in Canada and Its Impact on Mobility and Wages","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Receipt; Wage; Political science; Psychology; Humanities; Demographic economics; Labour economics; Economics; Accounting; Art","score_opus":0.057171682073171214,"score_gpt":0.3029883296817237,"score_spread":0.24581664760855246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125388888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787892,0.0007146274,5.3806724e-7,0.00033512188,0.0002535616,0.0006816544,0.0014287066,0.0000139937665,0.017782586],"genre_scores_gemma":[0.98514444,0.014029492,0.00003902774,0.00008698249,0.000064749256,0.00011092428,0.000050438586,0.000059210288,0.0004147607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960539,0.00017711791,0.0012861146,0.0014210367,0.0000981256,0.00096374133],"domain_scores_gemma":[0.9977794,0.00069384516,0.00036883415,0.0007890665,0.000050614603,0.00031818936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036141926,0.00043397406,0.0011563185,0.0006264255,0.00010137732,0.00017335638,0.00042064712,0.00038498966,0.00023332471],"category_scores_gemma":[0.00076216075,0.0004921178,0.00011010818,0.00018696148,0.00012999517,0.00012938601,0.00063758873,0.0017717741,0.0000035600815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001810214,0.00022762395,0.9020637,0.00049487816,0.00018798273,0.00016248382,0.0015714221,0.0069232993,0.000005590093,0.011311303,0.000020510564,0.076850146],"study_design_scores_gemma":[0.0011723116,0.00013132209,0.86417645,0.00019516521,0.0000039112697,0.000009633924,0.0005585953,0.08203509,0.0000078008015,0.049175624,0.0015755269,0.0009585787],"about_ca_topic_score_codex":0.38198516,"about_ca_topic_score_gemma":0.68981063,"teacher_disagreement_score":0.30782545,"about_ca_system_score_codex":0.0030945637,"about_ca_system_score_gemma":0.0009480144,"threshold_uncertainty_score":0.99975306},"labels":[],"label_agreement":null},{"id":"W3125390133","doi":"","title":"Revisiting the macroeconomic effects of labor reallocation","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Impulse response; Economics; Sample (material); Econometrics; Impulse (physics); Labour economics; Mathematics","score_opus":0.030762228930083912,"score_gpt":0.3051603373678787,"score_spread":0.2743981084377948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125390133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8937089,0.001899476,0.000023085344,0.0021180483,0.0011870856,0.0012039421,0.0005164487,0.000027565662,0.09931545],"genre_scores_gemma":[0.97337264,0.023859236,0.0002686145,0.00009214259,0.0005431454,0.00025739954,0.00008391642,0.00008238892,0.0014405168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960389,0.0002523348,0.0017106058,0.0011504894,0.00008653328,0.00076111016],"domain_scores_gemma":[0.99402624,0.0011746858,0.0017645224,0.0027538906,0.00015473847,0.00012594667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0070458893,0.0003723425,0.0011451538,0.00049766793,0.00033366837,0.00034377992,0.0018854708,0.00051298895,0.00006260262],"category_scores_gemma":[0.0026236107,0.0003845376,0.0003208624,0.00011633189,0.00046368764,0.00017673984,0.00150718,0.0016228798,0.000033233824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015785864,0.00021598554,0.18844467,0.003368968,0.0005149625,0.000038424532,0.0011751025,0.0038690658,0.000077288474,0.48053986,0.000040422754,0.32155737],"study_design_scores_gemma":[0.0018278052,0.00011468527,0.34111556,0.0013852265,0.000029890747,0.0000070541214,0.00027201595,0.029588552,0.00024302871,0.5869773,0.03701561,0.0014232459],"about_ca_topic_score_codex":0.0010631455,"about_ca_topic_score_gemma":0.00022263308,"teacher_disagreement_score":0.32013413,"about_ca_system_score_codex":0.00089035556,"about_ca_system_score_gemma":0.0003092271,"threshold_uncertainty_score":0.99986064},"labels":[],"label_agreement":null},{"id":"W3125414250","doi":"","title":"The Impact of Education on Unemployment Incidence and Re-employment Success: Evidence from the U.S. Labour Market","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Endogeneity; Unemployment; Instrumental variable; Economics; Demographic economics; Labour economics; Youth unemployment; Incidence (geometry); Formal education; Economic growth; Psychology; Econometrics","score_opus":0.0600734892702066,"score_gpt":0.3384960681209749,"score_spread":0.27842257885076827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125414250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724365,0.0036148615,0.0000047155468,0.0012458615,0.0006127001,0.0010129218,0.00066880655,0.00001317997,0.02039046],"genre_scores_gemma":[0.92037916,0.0777946,0.00009879079,0.00009843554,0.00016468002,0.00028882147,0.000027522674,0.000048296555,0.0010996793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962479,0.00045446743,0.0014080981,0.0010992681,0.00015225128,0.0006380371],"domain_scores_gemma":[0.9935231,0.0030810328,0.0009896989,0.0020682728,0.00017420821,0.00016364033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0077717155,0.00038235114,0.0007120832,0.0002515641,0.0002949069,0.00034886744,0.0015715107,0.00031937254,0.0002651939],"category_scores_gemma":[0.002103855,0.0002817168,0.00026461034,0.00020367921,0.00048709026,0.00017927041,0.0014556206,0.0013024644,0.000010652225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061597174,0.000447658,0.8621228,0.00012663213,0.0003879636,0.000004556992,0.0015328081,0.0013837677,0.000009843137,0.053810224,0.00039495362,0.07916285],"study_design_scores_gemma":[0.00027734638,0.00020460026,0.75558436,0.0006181384,0.0000075469998,9.783791e-7,0.0003054998,0.002930564,0.000023580584,0.23732615,0.0023277078,0.00039350835],"about_ca_topic_score_codex":0.02513303,"about_ca_topic_score_gemma":0.0030809464,"teacher_disagreement_score":0.18351592,"about_ca_system_score_codex":0.0014158698,"about_ca_system_score_gemma":0.00075419375,"threshold_uncertainty_score":0.9999635},"labels":[],"label_agreement":null},{"id":"W3125445180","doi":"10.3386/w22446","title":"Does Career Risk Deter Potential Entrepreneurs?","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Economics; Actuarial science","score_opus":0.2151658282341124,"score_gpt":0.4219979394647745,"score_spread":0.20683211123066209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125445180","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0416002,0.0016793562,0.00016946197,0.0015995511,0.0055445316,0.00084096065,0.01411722,0.0000407881,0.93440795],"genre_scores_gemma":[0.953762,0.0066806576,0.00012337604,0.000023189965,0.0021923988,0.000094811476,0.00045574346,0.00008641607,0.03658144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99549437,0.00019017232,0.0018063708,0.0011828257,0.0006419192,0.0006843339],"domain_scores_gemma":[0.9952166,0.0008067077,0.0013933833,0.0008266234,0.0015758994,0.0001807573],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.011164158,0.00034322814,0.0009871117,0.0011621303,0.00017908045,0.00015538606,0.00093198055,0.0006548882,0.004416171],"category_scores_gemma":[0.0026172437,0.0002602253,0.0005140802,0.00017041437,0.00031935715,0.0002603476,0.0004212209,0.0008441339,0.0009699262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016704942,0.00019068088,0.08414365,0.00027650458,0.0008902701,0.000016452805,0.00008039663,0.00015053227,0.000021081203,0.8794971,0.029312339,0.005253909],"study_design_scores_gemma":[0.0005417438,0.000067783,0.007627329,0.00006409866,0.000013266605,0.0000050216795,0.0000108022605,0.00033737413,0.000035515637,0.917717,0.07318429,0.00039581693],"about_ca_topic_score_codex":0.005626567,"about_ca_topic_score_gemma":0.0005366938,"teacher_disagreement_score":0.91216177,"about_ca_system_score_codex":0.002256876,"about_ca_system_score_gemma":0.001316615,"threshold_uncertainty_score":0.999985},"labels":[],"label_agreement":null},{"id":"W3125454136","doi":"10.1257/mac.20190338","title":"How Sticky Wages in Existing Jobs Can Affect Hiring","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Flexibility (engineering); Matching (statistics); Wage; Labour economics; Economics; Affect (linguistics); Value (mathematics); Great recession; Recession; Efficiency wage; Computer science","score_opus":0.022063226228119102,"score_gpt":0.24058322527612674,"score_spread":0.21851999904800765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125454136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97778094,0.00025528294,0.0038481578,0.0038511902,0.0013283814,0.00019031132,0.00017880542,0.00004953956,0.012517397],"genre_scores_gemma":[0.9945994,0.0006391999,0.0025187037,0.0008862441,0.0007476798,0.000017845285,0.000012997194,0.00009920327,0.00047871043],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99663156,0.00012108637,0.0014673831,0.00077827286,0.000034672667,0.00096703187],"domain_scores_gemma":[0.99676895,0.00040738127,0.0018495935,0.00059541984,0.000029847699,0.00034879535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002792555,0.00044017957,0.0012544909,0.0005781743,0.0002374171,0.00082841975,0.00072071253,0.00010921412,0.00012371065],"category_scores_gemma":[0.0004341669,0.00054423127,0.0002993235,0.00017363246,0.00028824637,0.0005892713,0.0001811588,0.00070691446,0.00016582578],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005660932,0.0000713047,0.6226715,0.000035933197,0.00015080109,0.000026413703,0.00045229687,0.004878311,0.000025326277,0.3197442,0.00017267201,0.051714655],"study_design_scores_gemma":[0.0049418267,0.00071901537,0.39464232,0.00013719402,0.000046066547,0.00043959558,0.002239914,0.09840179,0.000110372675,0.39804778,0.09684968,0.003424432],"about_ca_topic_score_codex":0.0017097505,"about_ca_topic_score_gemma":0.0019297242,"teacher_disagreement_score":0.22802915,"about_ca_system_score_codex":0.0014381907,"about_ca_system_score_gemma":0.00009840155,"threshold_uncertainty_score":0.9997009},"labels":[],"label_agreement":null},{"id":"W3125465459","doi":"10.1257/pol.20140396","title":"Fiscal Externalities and Optimal Unemployment Insurance","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Externality; Unemployment; Welfare; Government spending; Tax rate; Revenue; Tax revenue; Fiscal policy; Government revenue; Monetary economics; Microeconomics; Public economics; Macroeconomics; Finance","score_opus":0.021912177646037565,"score_gpt":0.27456650195840415,"score_spread":0.25265432431236656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125465459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96757853,0.00041973477,0.00032912285,0.0072877277,0.0009688659,0.00012401125,0.0008111634,0.00002854128,0.02245229],"genre_scores_gemma":[0.99261767,0.0028222767,0.0006184365,0.0008481185,0.0015300777,0.000015245178,0.0000045112674,0.00005877683,0.0014848702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973707,0.00004174059,0.0012501547,0.00060524786,0.000028436145,0.00070367364],"domain_scores_gemma":[0.9962833,0.0000890544,0.0023182624,0.0008766113,0.000013889815,0.00041889804],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011470489,0.00035251584,0.0009260502,0.0003169087,0.0007621123,0.0011886581,0.0009274092,0.000080133985,0.0003411292],"category_scores_gemma":[0.00013914793,0.00041104972,0.000241303,0.00002501064,0.00084459776,0.0010291358,0.0003345125,0.00036366677,0.0004927189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065251865,0.00003472899,0.52082914,0.000010187765,0.0002243782,0.000014914787,0.00035489412,0.0005859729,0.0000034040092,0.4613627,0.00047846668,0.01603599],"study_design_scores_gemma":[0.0019725782,0.00025354637,0.72543,0.00003097678,0.000013851504,0.00037134596,0.00029617661,0.0065315138,0.000019691375,0.20242728,0.061609346,0.0010436898],"about_ca_topic_score_codex":0.01157141,"about_ca_topic_score_gemma":0.00031469052,"teacher_disagreement_score":0.2589354,"about_ca_system_score_codex":0.0010322608,"about_ca_system_score_gemma":0.0001912084,"threshold_uncertainty_score":0.9998482},"labels":[],"label_agreement":null},{"id":"W3125470301","doi":"","title":"Market Reforms in the Time of Imbalance","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Carey Business School, Johns Hopkins University; Centre for Economic Policy Research; Johns Hopkins University","keywords":"Recession; Business cycle; Unemployment; Economics; Product market; Deregulation; Labour economics; Product (mathematics); Monetary economics; Macroeconomics; Market economy","score_opus":0.022197556361754682,"score_gpt":0.26579842846404833,"score_spread":0.24360087210229364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125470301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.680473,0.00008526762,0.000006187983,0.0012111038,0.00007446385,0.00023126612,0.00015685783,0.000006722882,0.3177551],"genre_scores_gemma":[0.99185175,0.003210417,0.00009834658,0.00012749998,0.0000536917,0.000052701653,0.000004426883,0.00002196067,0.004579237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978883,0.00013613264,0.00089127524,0.00045537902,0.000070566166,0.00055830926],"domain_scores_gemma":[0.99814737,0.0007084478,0.0002379473,0.00080904254,0.000038111273,0.00005911151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006730848,0.00013675721,0.00041836014,0.00034343463,0.0000514271,0.000036957987,0.00072734914,0.0001293936,0.00047615555],"category_scores_gemma":[0.00072066917,0.00009403175,0.00009989083,0.00030273644,0.00022868227,0.0001985218,0.00015010427,0.00027807162,0.000060047438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026258704,0.00040213612,0.59598726,0.00007563066,0.000052300304,0.000027812002,0.00069343526,0.000045083154,0.00022525669,0.30748528,0.0001854336,0.09455781],"study_design_scores_gemma":[0.002143627,0.0001872063,0.6611256,0.00013446601,0.0000014881385,0.000008692817,0.00031944996,0.003725272,0.00007624534,0.27582994,0.055953212,0.0004948004],"about_ca_topic_score_codex":0.00013606493,"about_ca_topic_score_gemma":0.00020309989,"teacher_disagreement_score":0.31317586,"about_ca_system_score_codex":0.000391859,"about_ca_system_score_gemma":0.000057118556,"threshold_uncertainty_score":0.52135694},"labels":[],"label_agreement":null},{"id":"W3125476377","doi":"","title":"Reconciling the Divergence in Aggregate U.S. Wage Series","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Earnings; Economics; Volatility (finance); Econometrics; Wage; Aggregate (composite); Divergence (linguistics); Contrast (vision); Productivity; Time series; Labour economics; Statistics; Macroeconomics; Mathematics; Finance","score_opus":0.03967876723901298,"score_gpt":0.27180486247791097,"score_spread":0.232126095238898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125476377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93302435,0.00033156053,0.000013972428,0.002659489,0.00038300865,0.000299023,0.00014579817,0.000019893834,0.06312293],"genre_scores_gemma":[0.9794849,0.015891403,0.00011999465,0.0001222511,0.00009047466,0.00008304948,0.0000038123471,0.000031460026,0.004172653],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99741757,0.000143744,0.00091223227,0.00067790033,0.0000643225,0.0007842366],"domain_scores_gemma":[0.9982227,0.0006133089,0.00022291805,0.00078917004,0.000047519006,0.000104378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005185857,0.00018397835,0.00040199936,0.00032755226,0.00017075153,0.00009807633,0.0006880298,0.00014555968,0.00035024717],"category_scores_gemma":[0.0011842765,0.00014053009,0.0001067901,0.00032923612,0.00032473443,0.00040100544,0.0003202384,0.00041513864,0.00010433573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011192,0.00008878724,0.62352747,0.000024413543,0.00003297934,0.000037933783,0.0004740999,0.0001852871,0.0001258557,0.21526264,0.0000167378,0.16011187],"study_design_scores_gemma":[0.0023258517,0.00018437572,0.41924384,0.00025503652,0.000002560667,0.00001778165,0.00078574225,0.0036519393,0.00034500044,0.4275791,0.14454554,0.001063226],"about_ca_topic_score_codex":0.00034732002,"about_ca_topic_score_gemma":0.0021092682,"teacher_disagreement_score":0.21231647,"about_ca_system_score_codex":0.0006632044,"about_ca_system_score_gemma":0.00008609253,"threshold_uncertainty_score":0.5730651},"labels":[],"label_agreement":null},{"id":"W3125489100","doi":"","title":"The Earnings Gap between Black and White Workers in Canada: Evidence from the 2006 Census","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Earnings; Census; Wage; White (mutation); Endowment; Educational attainment; Occupational segregation; Demographic economics; Economics; Labour economics; Productivity; Demography; Political science; Population; Economic growth; Sociology; Accounting","score_opus":0.035323734278031815,"score_gpt":0.20936388991532653,"score_spread":0.17404015563729472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125489100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98850423,0.0069089243,0.00044201984,0.0029681034,0.00016551862,0.00009398031,0.00007575753,0.0000041980197,0.000837271],"genre_scores_gemma":[0.9896442,0.009666966,0.00002660159,0.000110508874,0.00013971515,0.000002795713,0.000002646497,0.000015258164,0.00039129902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978575,0.00009398408,0.00052847713,0.00023045683,0.000068550165,0.0012210313],"domain_scores_gemma":[0.99888,0.00038450432,0.0003900137,0.00024318616,0.000032106225,0.000070163165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003783687,0.00013300919,0.00022894586,0.00003643298,0.00026043633,0.000091960326,0.00045190912,0.000052433974,0.000029416087],"category_scores_gemma":[0.00028441346,0.00009199873,0.000052014486,0.0001975005,0.00008359952,0.00014554535,0.00006935436,0.0013848061,0.000008388367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026500607,0.0000041786407,0.9690292,0.0000010868279,0.00006268295,0.0000023217865,0.00030471382,0.000010016574,2.768284e-7,0.028067283,0.000100853176,0.0023908925],"study_design_scores_gemma":[0.00017819092,0.000025100055,0.7429975,0.000020722366,0.0000069385,0.0000041794915,0.001141465,0.00017060355,4.918592e-7,0.25413892,0.0012051658,0.00011071693],"about_ca_topic_score_codex":0.8159562,"about_ca_topic_score_gemma":0.9367197,"teacher_disagreement_score":0.22607163,"about_ca_system_score_codex":0.0011882121,"about_ca_system_score_gemma":0.0012631142,"threshold_uncertainty_score":0.60163707},"labels":[],"label_agreement":null},{"id":"W3125516952","doi":"","title":"University Prestige, Performance Evaluation, and Promotion: Estimating the employer learning model using personnel datasets","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Promotion (chess); Collar; Prestige; Elite; Distribution (mathematics); Position (finance); Job performance; Business; Marketing; Demographic economics; Labour economics; Management; Economics; Political science; Job satisfaction; Mathematics","score_opus":0.13134654561299722,"score_gpt":0.33147015449051803,"score_spread":0.20012360887752081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125516952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98746747,0.00024530973,0.0003594576,0.0002365688,0.0002704876,0.00086709275,0.00060275017,0.000027679167,0.009923163],"genre_scores_gemma":[0.99316037,0.0013873626,0.00444935,0.000019563422,0.00014528398,0.00003206659,0.00027921482,0.000050180595,0.00047663157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971634,0.0003461224,0.0007022435,0.0010440394,0.00016242768,0.00058172375],"domain_scores_gemma":[0.99794394,0.00022088258,0.00052162807,0.00089936086,0.00024557335,0.00016860454],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01085301,0.00029373562,0.0005241372,0.00036959632,0.00059656595,0.00028194016,0.0006817296,0.00031884617,0.000041828425],"category_scores_gemma":[0.0012857885,0.00031854544,0.0000817827,0.00019584736,0.0003119537,0.00036173582,0.0014673758,0.0016229709,0.0000056819395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003911848,0.00007108821,0.056939244,0.00015392962,0.000066137356,0.000004547384,0.0012895314,0.9228598,0.0000013986225,0.0028721993,0.000014943617,0.01568805],"study_design_scores_gemma":[0.00048292102,0.000036439735,0.0055751535,0.00011578196,0.0000135982555,0.000005319925,0.0003939335,0.9723179,6.829243e-7,0.019960389,0.00075368374,0.0003442142],"about_ca_topic_score_codex":0.00034269228,"about_ca_topic_score_gemma":0.00013914268,"teacher_disagreement_score":0.05136409,"about_ca_system_score_codex":0.001368628,"about_ca_system_score_gemma":0.00059407856,"threshold_uncertainty_score":0.9999267},"labels":[],"label_agreement":null},{"id":"W3125573044","doi":"10.22004/ag.econ.270762","title":"The role of worker flows in the dynamics and distribution of UK unemployment","year":2010,"lang":"en","type":"article","venue":"LSE Research Online","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Unemployment; Economics; Recession; Labour economics; Great recession; Volatility (finance); Distribution (mathematics); Inflow; Demographic economics; Quarter (Canadian coin); Population; Econometrics; Geography; Macroeconomics; Demography","score_opus":0.03239176660361489,"score_gpt":0.31062431729817935,"score_spread":0.2782325506945645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125573044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99357104,0.0008123946,0.000099019846,0.0032981762,0.000065556764,0.00019984241,0.0009876563,0.0000022998897,0.0009639991],"genre_scores_gemma":[0.9984845,0.0011334696,0.00009695438,0.000010352316,0.00003851915,0.000013556798,0.00010603763,0.0000063066823,0.000110285466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989459,0.00008645837,0.00045167402,0.00016237867,0.00011063625,0.00024295766],"domain_scores_gemma":[0.99881935,0.0005035091,0.00012524208,0.00041354532,0.00010331918,0.00003501622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048059006,0.00006383125,0.00017218933,0.00007082075,0.00009140599,0.000037369195,0.00031796427,0.000068917114,0.000019669878],"category_scores_gemma":[0.00064273155,0.00004220498,0.000040343133,0.00040795503,0.0001989713,0.000039275274,0.00012724714,0.00044169498,0.0000019990048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000377732,0.00016858241,0.18223906,0.000011970094,0.0000118612725,8.506554e-7,0.00011194661,0.00001213272,0.000073452444,0.80512536,0.000014920953,0.012192115],"study_design_scores_gemma":[0.0004106628,0.0001004929,0.43105382,0.00002173653,0.0000023954933,0.0000014694541,0.0005943921,0.16841651,0.0000540506,0.38284808,0.016388785,0.00010761949],"about_ca_topic_score_codex":0.0010869418,"about_ca_topic_score_gemma":0.00728577,"teacher_disagreement_score":0.42227727,"about_ca_system_score_codex":0.000042996635,"about_ca_system_score_gemma":0.000028402963,"threshold_uncertainty_score":0.40656307},"labels":[],"label_agreement":null},{"id":"W3125631409","doi":"","title":"Occupational Mobility and the Returns to Training","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Human capital; Government (linguistics); Training (meteorology); Labour economics; Economics; Capital (architecture); Business; Demographic economics; Economic growth; Geography","score_opus":0.08132987716876616,"score_gpt":0.32383769287983266,"score_spread":0.2425078157110665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125631409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90238404,0.0005994713,0.000030637788,0.0019034087,0.0007128787,0.0011464411,0.00079311506,0.000024615414,0.092405386],"genre_scores_gemma":[0.9947092,0.0027150076,0.00069958594,0.00034455574,0.00035228638,0.00039684083,0.00006649707,0.000048391634,0.0006676589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965379,0.00026813915,0.0012102865,0.001045745,0.00009942634,0.0008384915],"domain_scores_gemma":[0.9969799,0.001095046,0.00036297942,0.0011986262,0.000087489505,0.0002759943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01262352,0.00030847886,0.00087645976,0.00040289195,0.00021716196,0.0002713392,0.0007290209,0.00040151275,0.000153538],"category_scores_gemma":[0.0018212118,0.0002942929,0.00019888802,0.00018467692,0.0004784047,0.00013150924,0.0014518106,0.0015578681,0.00002721932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006994123,0.00025102182,0.16315044,0.00024802334,0.00022289873,0.000006250803,0.0073173833,0.0025582127,0.000002974682,0.76971567,0.000050859046,0.055776842],"study_design_scores_gemma":[0.0021757947,0.000053725562,0.3582105,0.00012039349,0.00001075895,0.000007986929,0.0010979036,0.018609207,0.0000031500772,0.5882956,0.030416673,0.0009983169],"about_ca_topic_score_codex":0.00055191724,"about_ca_topic_score_gemma":0.00069805846,"teacher_disagreement_score":0.19506007,"about_ca_system_score_codex":0.00069214776,"about_ca_system_score_gemma":0.00024041538,"threshold_uncertainty_score":0.99995095},"labels":[],"label_agreement":null},{"id":"W3125674522","doi":"10.1093/ej/ueab003","title":"Caught in the Cycle: Economic Conditions at Enrolment and Labour Market Outcomes of College Graduates","year":2021,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Graduation (instrument); Demographic economics; Economics; Selection (genetic algorithm); Labour economics; Psychology; Demography; Sociology; Engineering","score_opus":0.01639580915601639,"score_gpt":0.23613295780379537,"score_spread":0.219737148647779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125674522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97439355,0.0009407551,0.000009814857,0.013905477,0.0005948952,0.00014431145,0.0018317024,0.000004494991,0.008174983],"genre_scores_gemma":[0.99542874,0.0013056786,0.000049445876,0.0007510335,0.0001143722,0.000014054464,0.000010583117,0.000016885464,0.0023091922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983018,0.00015130399,0.0009791679,0.00025188064,0.000030580337,0.00028527513],"domain_scores_gemma":[0.9983047,0.00046894883,0.0007414315,0.00039772133,0.000019714134,0.000067438545],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002481469,0.00016728649,0.0004975361,0.000113057846,0.00026298134,0.0001176459,0.00036843918,0.000064635584,0.0019502939],"category_scores_gemma":[0.00008566731,0.00012543809,0.00015666729,0.00007051742,0.00013214047,0.00017990843,0.00014339022,0.00026250933,0.000076069715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030639778,0.00006572316,0.32183295,0.000015931211,0.00021178664,0.000030585,0.0006053938,0.00056321535,0.00000741395,0.67239124,0.004157742,0.00008736401],"study_design_scores_gemma":[0.0009919445,0.000015375199,0.6448044,0.000009941279,0.0000148156305,0.00021969367,0.00061947363,0.001912835,0.00001906523,0.33652818,0.014679078,0.00018519536],"about_ca_topic_score_codex":0.0002082617,"about_ca_topic_score_gemma":0.0016785421,"teacher_disagreement_score":0.33586305,"about_ca_system_score_codex":0.0004658509,"about_ca_system_score_gemma":0.00009613145,"threshold_uncertainty_score":0.99896204},"labels":[],"label_agreement":null},{"id":"W3125679606","doi":"10.3386/w22187","title":"The Age Twist in Employers’ Gender Requests: Evidence from Four Job Boards","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Business; Twist; Demographic economics; Labour economics; Psychology; Business administration; Economics; Mathematics","score_opus":0.541069378127721,"score_gpt":0.4917251557915361,"score_spread":0.04934422233618496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125679606","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080219164,0.014793182,0.00009349776,0.004449497,0.0028350863,0.001197782,0.0038270517,0.00003234728,0.8925524],"genre_scores_gemma":[0.9579101,0.025426434,0.00017739486,0.000053626696,0.0013606251,0.00019625637,0.00019904853,0.000085917614,0.014590568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99486345,0.0003060298,0.00224787,0.0011147172,0.00072233955,0.0007455646],"domain_scores_gemma":[0.99218327,0.004625372,0.0010058653,0.001008279,0.0010513561,0.00012588444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.023413686,0.00033639188,0.000960821,0.00086752133,0.00021814942,0.0002630816,0.0015100994,0.00058883923,0.0007123146],"category_scores_gemma":[0.0068757213,0.0002885477,0.00032968225,0.0002995135,0.0004783164,0.00039175517,0.00045211363,0.001081733,0.00047226914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117024276,0.000059601218,0.11733578,0.000118151314,0.00031211434,0.00003661075,0.00013240219,0.000032982454,0.000020207672,0.852268,0.028190661,0.0013764696],"study_design_scores_gemma":[0.00037038248,0.000037377384,0.067061186,0.0002334679,0.000004181282,0.0000030519623,0.000017582446,0.00019966613,0.0000049371997,0.8613797,0.070371784,0.00031671295],"about_ca_topic_score_codex":0.023426104,"about_ca_topic_score_gemma":0.0056915157,"teacher_disagreement_score":0.8779618,"about_ca_system_score_codex":0.005371422,"about_ca_system_score_gemma":0.0024112796,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W3125745051","doi":"10.2139/ssrn.3427610","title":"Is Employment Polarization Informative About Wage Inequality and is Employment Really Polarizing?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Polarization (electrochemistry); Labour economics; Inequality; Wage; Wage inequality; Economics; Demographic economics; Mathematics; Chemistry","score_opus":0.013029252224597374,"score_gpt":0.2358691433073205,"score_spread":0.22283989108272312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125745051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98276263,0.0024323578,0.0076274225,0.0020410984,0.00031208823,0.0003240359,0.00024752162,0.000031087668,0.0042217304],"genre_scores_gemma":[0.99071884,0.0041424893,0.00014328447,0.0019108022,0.00009869047,0.0000060315315,0.000033386223,0.000035092835,0.0029113956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99677837,0.00006567426,0.0010919827,0.00039756508,0.00014713961,0.0015192461],"domain_scores_gemma":[0.9984951,0.000045722056,0.0008265527,0.0003759333,0.000112195936,0.00014452045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003815412,0.00027260976,0.00048633807,0.0002452905,0.00023580404,0.00025710024,0.00029501138,0.00016950468,0.00025152948],"category_scores_gemma":[0.000068894005,0.00027834662,0.00015306838,0.00027205964,0.00004004922,0.00073422684,0.00013106296,0.0011926118,0.00016410355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045558452,0.00006716787,0.40445852,0.000018159179,0.00020639184,7.3018214e-7,0.0014576128,0.0000041474523,0.000033647582,0.5912585,0.000034964334,0.0024146035],"study_design_scores_gemma":[0.0018831001,0.00056048774,0.23085603,0.000047464237,0.000025411673,0.00004871909,0.00074291887,0.0013509133,0.000058887068,0.7522876,0.011491765,0.00064667914],"about_ca_topic_score_codex":0.0012843219,"about_ca_topic_score_gemma":0.00029358556,"teacher_disagreement_score":0.17360248,"about_ca_system_score_codex":0.0010918877,"about_ca_system_score_gemma":0.00039194213,"threshold_uncertainty_score":0.99996686},"labels":[],"label_agreement":null},{"id":"W3125820303","doi":"10.2139/ssrn.2979942","title":"Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overconfidence effect; Training (meteorology); Turnover; Psychology; Business; Field (mathematics); Labour economics; Economics; Social psychology; Management; Mathematics; Geography","score_opus":0.05692403694461098,"score_gpt":0.29292030760326393,"score_spread":0.23599627065865295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125820303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96423614,0.010039813,0.017756572,0.0069799363,0.00020558719,0.00014207968,0.00009461216,0.000009598384,0.0005356915],"genre_scores_gemma":[0.9877812,0.01094725,0.00037873714,0.00023159433,0.00025639337,0.000012745219,0.0000026893213,0.000016023503,0.00037334638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847484,0.0000137827665,0.00037145393,0.00031424934,0.000028127943,0.0007975476],"domain_scores_gemma":[0.9987522,0.00033567334,0.00042541418,0.00035233935,0.00004801087,0.000086358166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018266777,0.00012298311,0.00025898626,0.000054555265,0.0005672121,0.000432551,0.00029499558,0.000103845705,0.000026134641],"category_scores_gemma":[0.0010599422,0.0001251593,0.00007289897,0.000031940286,0.00006327944,0.00056306657,0.00007069719,0.00061266747,0.0000023019754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028767758,0.000007406439,0.39857975,0.000003933529,0.00006625195,3.1647545e-7,0.00022873512,5.159892e-7,0.000028086464,0.590651,0.000033639626,0.0103716245],"study_design_scores_gemma":[0.00029485533,0.00006907582,0.3219047,0.00003245998,0.000010713513,0.000018190305,0.00013143421,0.00011240538,0.0000022026993,0.67671955,0.0005858191,0.00011864181],"about_ca_topic_score_codex":0.00064645737,"about_ca_topic_score_gemma":0.0023219401,"teacher_disagreement_score":0.08606855,"about_ca_system_score_codex":0.00014796312,"about_ca_system_score_gemma":0.0001988596,"threshold_uncertainty_score":0.51038486},"labels":[],"label_agreement":null},{"id":"W3125837046","doi":"10.2139/ssrn.1501929","title":"The Determinants of Education-Job Match Among Canadian University Graduates","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Demographic economics; Medical education; Political science; Psychology; Sociology; Medicine; Economics","score_opus":0.008044213101994303,"score_gpt":0.2029531041877103,"score_spread":0.194908891085716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125837046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899259,0.0014323097,0.00013953068,0.0015154232,0.0002632294,0.0000654126,0.000022639822,0.0000046352334,0.00663089],"genre_scores_gemma":[0.9925162,0.004062442,0.000022115042,0.000062646286,0.0000571515,2.7632206e-7,0.000001700753,0.000006422294,0.0032710484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985585,0.000027441525,0.00031877856,0.00012746037,0.00003301785,0.00093475403],"domain_scores_gemma":[0.99930876,0.0000326287,0.00030065503,0.00018411948,0.000068349684,0.00010546777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015611056,0.000083696534,0.00016626343,0.00013588763,0.00033471655,0.000049715967,0.00035253318,0.00005241855,0.000014314856],"category_scores_gemma":[0.00006940191,0.00007694267,0.00008736433,0.0002041916,0.00004761645,0.00015286061,0.000011008314,0.0004635359,0.000011594003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065636877,0.00001787521,0.30951554,0.0000011943446,0.000019198877,9.2684496e-7,0.000045804125,0.0000025046838,5.9994653e-7,0.679934,0.00003920956,0.010416568],"study_design_scores_gemma":[0.00012193615,0.000054483608,0.27368087,0.0000061882984,0.000004523362,0.00001570684,0.00045613915,0.00017583996,0.0000026436483,0.7222864,0.003105262,0.00008999223],"about_ca_topic_score_codex":0.043138426,"about_ca_topic_score_gemma":0.37390432,"teacher_disagreement_score":0.3307659,"about_ca_system_score_codex":0.00087549014,"about_ca_system_score_gemma":0.0018113289,"threshold_uncertainty_score":0.9632334},"labels":[],"label_agreement":null},{"id":"W3125847764","doi":"10.3138/cpp.36.2.137","title":"The Economic Returns to the Knowledge and Use of a Second Official Language: English in Quebec and French in the Rest-of-Canada","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rest (music); Earnings; Census; Value (mathematics); Neuroscience of multilingualism; Work (physics); Demographic economics; English language; Psychology; Linguistics; Political science; Sociology; Business; Accounting; Economics; Demography; Mathematics education; Statistics; Medicine; Engineering; Population; Mathematics","score_opus":0.013371886479626201,"score_gpt":0.21873652024705703,"score_spread":0.20536463376743083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125847764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98272073,0.00035075936,4.1425875e-7,0.009633144,0.0002538383,0.0002116187,0.0009865839,0.000001628942,0.0058412827],"genre_scores_gemma":[0.9983225,0.000032814223,0.00000777096,0.0007423708,0.00017623464,0.000015433567,0.00000632144,0.000009130202,0.0006874259],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896735,0.000059077858,0.0004169618,0.00018924114,0.00002280282,0.00034455754],"domain_scores_gemma":[0.998852,0.0003786985,0.0001354599,0.00042661172,0.0000341106,0.00017308629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013278938,0.0000968361,0.0002038367,0.0002959746,0.00010067763,0.0001683732,0.00037912707,0.00007725693,0.000042368058],"category_scores_gemma":[0.0015259325,0.000070145856,0.00002280671,0.00035586447,0.00012104168,0.00013371852,0.000058486014,0.00025972593,9.775457e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004447325,0.000010659248,0.09422789,0.000016449596,0.000014307781,0.0000031410116,0.008712766,0.0000047800877,0.0000031232566,0.88796765,0.0041195783,0.0049152104],"study_design_scores_gemma":[0.0001736178,0.000009868104,0.65923315,0.0000041373614,9.73454e-7,0.0000013795922,0.00043991074,0.00041381514,0.0000012688049,0.0039022875,0.3357171,0.0001024844],"about_ca_topic_score_codex":0.995594,"about_ca_topic_score_gemma":0.999988,"teacher_disagreement_score":0.8840654,"about_ca_system_score_codex":0.0003053978,"about_ca_system_score_gemma":0.0029184653,"threshold_uncertainty_score":0.5177232},"labels":[],"label_agreement":null},{"id":"W3125911897","doi":"","title":"Dynamic Skill Accumulation, Education Policies and the Return to Schooling","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Graduation (instrument); Wage; Economics; Labour economics; Demographic economics; Mathematics","score_opus":0.03936089847441474,"score_gpt":0.3458676649514523,"score_spread":0.30650676647703756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125911897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91814095,0.00024785261,0.000025362424,0.005523235,0.00033775606,0.00045547276,0.000048897302,0.000012220986,0.07520823],"genre_scores_gemma":[0.9937858,0.0029387737,0.000428391,0.00039738315,0.00010702825,0.000083017454,0.000009263328,0.000026701753,0.002223614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983697,0.000075199954,0.0005832682,0.00048632402,0.000050224942,0.00043527072],"domain_scores_gemma":[0.9980857,0.00031589266,0.00028834128,0.0010886193,0.00008392597,0.00013755087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037990862,0.00014001192,0.00033770752,0.00030951618,0.0007102315,0.00064181077,0.00062906876,0.0001100181,0.000040948897],"category_scores_gemma":[0.0026930433,0.00013216298,0.00006861039,0.00010157233,0.00031730812,0.00033901478,0.00037424863,0.0003655744,0.000023741111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015381345,0.00008991718,0.28570023,0.000038274076,0.000047686746,0.0000014845963,0.0015042401,0.0005621809,0.0000129416185,0.6178381,0.00003912382,0.09401202],"study_design_scores_gemma":[0.0011759981,0.000032856995,0.6210245,0.000051802454,0.0000027266901,0.0000043326404,0.00062030787,0.035189554,0.0000052952882,0.31815815,0.023408344,0.0003261409],"about_ca_topic_score_codex":0.001411139,"about_ca_topic_score_gemma":0.0014436482,"teacher_disagreement_score":0.33532426,"about_ca_system_score_codex":0.00036610416,"about_ca_system_score_gemma":0.00011507744,"threshold_uncertainty_score":0.61889964},"labels":[],"label_agreement":null},{"id":"W3126017779","doi":"","title":"Employment Adjustment and Part-time Work: Lessons from the United States and the United Kingdom","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Kingdom; Work (physics); Political science; Association (psychology); Economic history; Economics; Engineering; Psychology","score_opus":0.08858274232119272,"score_gpt":0.3224486781685904,"score_spread":0.23386593584739768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126017779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97726995,0.0017072171,0.000010200324,0.012763217,0.00050662813,0.0011556286,0.0018585876,0.000029252284,0.0046992917],"genre_scores_gemma":[0.9024879,0.09331129,0.00013173149,0.0007737383,0.0003499029,0.00039120842,0.0011028966,0.00009631106,0.0013550302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962482,0.0005133382,0.0011193193,0.0012029221,0.00011715001,0.0007990774],"domain_scores_gemma":[0.99429613,0.0025475165,0.00079358916,0.0020623908,0.000100987934,0.00019935836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006476643,0.00044497594,0.00095959747,0.00042941622,0.00069022435,0.00095309387,0.00122872,0.00039552414,0.00012182803],"category_scores_gemma":[0.0009560704,0.0003399591,0.00016357837,0.00020570816,0.0012861745,0.0001016913,0.002660477,0.001679928,0.00001664505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025478287,0.0007079402,0.22287762,0.00028847932,0.002862215,0.00008333471,0.007583478,0.017668026,0.0000025418403,0.6463188,0.0011638997,0.097895846],"study_design_scores_gemma":[0.004767478,0.00010737765,0.18435723,0.0005247338,0.00005906073,0.0000046330915,0.00069366966,0.09291347,0.0000028345319,0.40935856,0.3059919,0.001219059],"about_ca_topic_score_codex":0.015946724,"about_ca_topic_score_gemma":0.0011553823,"teacher_disagreement_score":0.304828,"about_ca_system_score_codex":0.0004933545,"about_ca_system_score_gemma":0.00012265987,"threshold_uncertainty_score":0.9999052},"labels":[],"label_agreement":null},{"id":"W3126038638","doi":"","title":"Decomposing Changes in Wage Distributions: A unified Approach","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Wage; Economics; Distribution (mathematics); Logit; Covariate; Probit model; Probit; Inequality; Wage inequality; Ordered probit; Mathematics; Statistics; Labour economics","score_opus":0.025502219482080368,"score_gpt":0.2192302687355342,"score_spread":0.19372804925345383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126038638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.912473,0.013699487,0.050325327,0.002703956,0.0003116843,0.00021493282,0.000097515636,0.000040939074,0.020133121],"genre_scores_gemma":[0.9907731,0.007918304,0.00029343323,0.00008559159,0.00012811288,0.000009275734,0.000016689532,0.00001880634,0.0007567238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759537,0.0000481988,0.00049104996,0.0002681978,0.000045790257,0.001551378],"domain_scores_gemma":[0.999404,0.00003603489,0.00026432174,0.0002017861,0.000026014139,0.00006783301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024244362,0.00014468806,0.00029612894,0.00023407201,0.00016056906,0.000105249994,0.00026742514,0.00009431562,0.0001103945],"category_scores_gemma":[0.00010104051,0.00015607984,0.00008922897,0.0004067603,0.000032162123,0.00017712798,0.000038499533,0.0011423208,0.000047386893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009231914,0.00016024221,0.016803,0.000005493863,0.000041217518,0.0000035541777,0.0001288037,0.000034401375,0.000010018693,0.97866917,0.000016917644,0.0041179713],"study_design_scores_gemma":[0.00096788694,0.00010097674,0.00602834,0.0000147493865,0.0000061120504,0.00011611617,0.0003281521,0.012895562,0.000006509801,0.97507197,0.004136907,0.00032669227],"about_ca_topic_score_codex":0.00017008535,"about_ca_topic_score_gemma":0.0009831197,"teacher_disagreement_score":0.07830002,"about_ca_system_score_codex":0.0011050892,"about_ca_system_score_gemma":0.00006722496,"threshold_uncertainty_score":0.63647515},"labels":[],"label_agreement":null},{"id":"W3126062305","doi":"","title":"Does Employer Learning Vary by Schooling Attainment? The Answer Depends on How Career Start Dates are Defined","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Educational attainment; Work (physics); Empirical evidence; Demographic economics; Career Pathways; Psychology; Economics; Economic growth; Operations management; Engineering","score_opus":0.0291025385323943,"score_gpt":0.2559173311709076,"score_spread":0.22681479263851329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126062305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635463,0.00018800597,0.00006452955,0.0043275678,0.00044727133,0.0003504025,0.00023377054,0.00004839751,0.030793756],"genre_scores_gemma":[0.99301547,0.0022088594,0.00013605936,0.00049668853,0.00021531373,0.00008915634,0.00007424037,0.00007722694,0.0036869626],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99704534,0.0003050096,0.00066707586,0.0009183112,0.00013679026,0.0009274907],"domain_scores_gemma":[0.9974667,0.0009934823,0.00033745778,0.00094256847,0.00007697025,0.00018285325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00507427,0.00029476316,0.00053721905,0.00030249538,0.00046665783,0.00043539063,0.0007083474,0.0002109228,0.0001635226],"category_scores_gemma":[0.0015951081,0.00022107786,0.00015120575,0.0002351086,0.00018621763,0.00028810484,0.0002994625,0.0011474447,0.000056654422],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001417997,0.00019268478,0.9230326,0.000060409748,0.00014430298,0.000010604482,0.00034744543,0.0031663582,0.00006988481,0.045006897,0.00045119866,0.027375847],"study_design_scores_gemma":[0.0026815713,0.00051779865,0.15422538,0.00015589727,0.000013491324,0.0000044545714,0.0025625762,0.04102662,0.00029520557,0.05901782,0.7378842,0.0016149885],"about_ca_topic_score_codex":0.00023001205,"about_ca_topic_score_gemma":0.00040769682,"teacher_disagreement_score":0.7688072,"about_ca_system_score_codex":0.00051455124,"about_ca_system_score_gemma":0.000046094377,"threshold_uncertainty_score":0.9015294},"labels":[],"label_agreement":null},{"id":"W3126610005","doi":"10.1093/oxrep/graa051","title":"Do technological advances reduce the gender wage gap?","year":2020,"lang":"en","type":"article","venue":"Oxford Review of Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Universidade do Porto; Instituut Gak","keywords":"Wage; Economics; Technological change; Labour economics; Low wage; Efficiency wage; Wage growth; Work (physics); Wage share; Demographic economics; Macroeconomics","score_opus":0.07552644824116511,"score_gpt":0.3086826134646091,"score_spread":0.233156165223444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126610005","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057507202,0.3973275,0.00086071715,0.080928355,0.0005106334,0.001252352,0.0011851216,0.0001372247,0.46029088],"genre_scores_gemma":[0.6692514,0.3229203,0.00032467852,0.0070098722,0.00028909018,0.000040813255,0.000012980281,0.000022705246,0.00012816206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801064,0.000046170702,0.0011286087,0.00045915044,0.000030217334,0.00032519308],"domain_scores_gemma":[0.99838537,0.000106894775,0.00075693737,0.0006174707,0.000021015334,0.00011230779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011653583,0.00020925354,0.00076303293,0.00007852689,0.00007799278,0.000036965488,0.00076298276,0.00009919585,0.0007553447],"category_scores_gemma":[0.00079545233,0.00016167309,0.00029145,0.00028872569,0.0002069459,0.00019247997,0.00020990787,0.00022078956,0.00021827781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069230823,0.000019914192,0.0017963895,0.00084664434,0.00004000564,9.4621845e-7,0.000043529082,0.0000110245655,0.000003985106,0.97634006,0.00096773286,0.019922849],"study_design_scores_gemma":[0.00022528108,0.00004476686,0.0014627064,0.00020544912,0.000012125176,0.000004772058,0.000028349237,0.00028213716,0.000020908488,0.20398878,0.7934599,0.00026483648],"about_ca_topic_score_codex":0.000050868162,"about_ca_topic_score_gemma":0.0000029027103,"teacher_disagreement_score":0.79249215,"about_ca_system_score_codex":0.00011990608,"about_ca_system_score_gemma":0.00007338053,"threshold_uncertainty_score":0.8270495},"labels":[],"label_agreement":null},{"id":"W3126744371","doi":"10.1257/pol.20190031","title":"Unemployment Insurance Taxes and Labor Demand: Quasi-Experimental Evidence from Administrative Data","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Payroll tax; Economics; Labour economics; Quarter (Canadian coin); Recession; Payroll; Labor demand; Schedule; Great recession; Macroeconomics","score_opus":0.06787290573314118,"score_gpt":0.3323709547741479,"score_spread":0.2644980490410067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126744371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738243,0.006341519,0.0002809471,0.0064889067,0.0007367119,0.00014772851,0.010179735,0.00002881458,0.0019713417],"genre_scores_gemma":[0.9859018,0.009200249,0.0015871193,0.0016373128,0.0011381516,0.000016478569,0.000095641284,0.000058086152,0.0003651703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965127,0.0001491979,0.0015285492,0.0011475402,0.000041298634,0.0006206843],"domain_scores_gemma":[0.9963524,0.0004325148,0.001560197,0.0011682952,0.000030996976,0.000455593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001088386,0.00040538923,0.0010909421,0.00021992536,0.00026585092,0.0005514858,0.0009152937,0.00009019496,0.00087441795],"category_scores_gemma":[0.00032170553,0.00048705615,0.0001542803,0.00013278815,0.00044020414,0.0013380819,0.0005944135,0.00038572738,0.000392984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022454129,0.0004847122,0.7853655,0.000020742464,0.0010061335,0.000106777894,0.0017721485,0.0004464301,0.00017206033,0.19966291,0.0020375578,0.008700453],"study_design_scores_gemma":[0.005703397,0.0017763255,0.62313175,0.00030885794,0.00010062618,0.0009010347,0.005237228,0.03148891,0.001975714,0.23484963,0.09051366,0.004012881],"about_ca_topic_score_codex":0.014038676,"about_ca_topic_score_gemma":0.0015951999,"teacher_disagreement_score":0.1622338,"about_ca_system_score_codex":0.0012118805,"about_ca_system_score_gemma":0.0008884196,"threshold_uncertainty_score":0.9997581},"labels":[],"label_agreement":null},{"id":"W3126776341","doi":"10.2991/assehr.k.210121.006","title":"What is the Relationship Among Wages, Supplementary Labor Income, Unemployment and Productivity?","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Unemployment; Labour economics; Economics; Demographic economics; Economic growth","score_opus":0.06479439164704393,"score_gpt":0.27977105049085654,"score_spread":0.21497665884381262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126776341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9615827,0.00021445684,0.000003523835,0.023502028,0.00042387558,0.00026314674,0.00025230303,0.000009961396,0.013748009],"genre_scores_gemma":[0.99670136,0.0001912491,0.00005300884,0.0009989812,0.00008264501,0.000027518801,0.000013693492,0.000007379274,0.0019241564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99846673,0.000016737287,0.0004973249,0.0004871138,0.0003351909,0.00019692031],"domain_scores_gemma":[0.99857026,0.000055148852,0.00043367015,0.00010212387,0.000772291,0.000066511384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018339856,0.00015349884,0.00021372389,0.000086888285,0.0008354085,0.00058603234,0.0005603177,0.00005129632,0.00011196802],"category_scores_gemma":[0.00033209648,0.000120931916,0.000043190492,0.00041143666,0.0006275004,0.0013120945,0.0005567412,0.00021400757,0.0000026405369],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020243218,0.00006302709,0.42786163,0.000025629071,0.000035757854,6.800809e-7,0.005571444,8.731432e-8,0.000056249686,0.5650727,0.00067709736,0.00061544357],"study_design_scores_gemma":[0.00037350747,0.00003406478,0.8766342,0.00010456607,0.0000059735453,0.0000022980526,0.009787594,0.00008818181,0.00065483997,0.096157216,0.015890459,0.00026709406],"about_ca_topic_score_codex":0.000115783274,"about_ca_topic_score_gemma":0.00006259002,"teacher_disagreement_score":0.4689155,"about_ca_system_score_codex":0.00013058624,"about_ca_system_score_gemma":0.0002717269,"threshold_uncertainty_score":0.6425371},"labels":[],"label_agreement":null},{"id":"W3130613753","doi":"","title":"A Tale of Two Countries: A Story of the French and US Polarization","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université du Québec à Montréal","keywords":"Polarization (electrochemistry); Subsidy; Welfare; Labour economics; Wage; Economics; Context (archaeology); Demographic economics; Geography; Market economy","score_opus":0.02434303832474745,"score_gpt":0.2821982901006347,"score_spread":0.25785525177588725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130613753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658762,0.00018526312,0.000009993438,0.00030853957,0.00016318717,0.00020661076,0.00025558096,0.000002871891,0.032991722],"genre_scores_gemma":[0.99757105,0.0013142212,0.0001090014,0.00003111029,0.000029549865,0.000011694149,0.0000033236436,0.0000139725635,0.00091607595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988302,0.00008001586,0.00050324464,0.00029086004,0.000051525833,0.00024418152],"domain_scores_gemma":[0.9982623,0.00022730717,0.0005323294,0.0008567577,0.00007267176,0.000048627204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028535903,0.00009035351,0.00032477465,0.00015358119,0.00027936336,0.000067405505,0.0004951347,0.000088756635,0.00004396247],"category_scores_gemma":[0.0010317721,0.00008849192,0.000066154586,0.00006792357,0.00054493966,0.00018516672,0.00029168336,0.00029617443,0.0000016304622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016508686,0.000051016927,0.88189155,0.00006369977,0.000027562828,7.791471e-7,0.000285848,0.00008156128,0.00007367838,0.112818964,0.000003841215,0.004684988],"study_design_scores_gemma":[0.0008850085,0.000052006137,0.9445292,0.00004897517,0.0000025745956,0.0000015035903,0.000092185044,0.005178985,0.00011331643,0.042224627,0.0067234836,0.00014816746],"about_ca_topic_score_codex":0.0014548862,"about_ca_topic_score_gemma":0.001143518,"teacher_disagreement_score":0.07059434,"about_ca_system_score_codex":0.00014072075,"about_ca_system_score_gemma":0.00009263558,"threshold_uncertainty_score":0.36085957},"labels":[],"label_agreement":null},{"id":"W3131318763","doi":"10.1007/s10775-021-09462-7","title":"An introduction to the special section on the Capability Approach to career guidance","year":2021,"lang":"en","type":"article","venue":"International Journal for Educational and Vocational Guidance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Scholarship; Sociology; Political science; Philosophy; Law","score_opus":0.0421891915036425,"score_gpt":0.29280064094296565,"score_spread":0.2506114494393232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131318763","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25123227,0.00038346255,0.036877725,0.674092,0.025690857,0.00065857515,0.0009735479,0.000016844624,0.010074706],"genre_scores_gemma":[0.9224055,0.000035992223,0.0053390097,0.008564301,0.059864603,0.0002912179,0.00021031435,0.000021712201,0.003267369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984303,0.00007710974,0.00057678175,0.00048788267,0.00023753273,0.00019036938],"domain_scores_gemma":[0.99780613,0.0002880052,0.00024095493,0.00032232303,0.0012020177,0.00014056577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896871,0.00014666912,0.00015167876,0.00011246346,0.0004994001,0.0003964987,0.0005224063,0.0000530773,0.00023137282],"category_scores_gemma":[0.0016777044,0.000112762384,0.00010075196,0.00027160463,0.00005403292,0.00025321695,0.000052908228,0.00021539036,0.0000454062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009115775,0.00029214245,0.0060225003,0.0000054966126,0.00007076402,2.2759953e-7,0.00057996914,0.0026011853,0.000079452206,0.9316133,0.057216387,0.0014273839],"study_design_scores_gemma":[0.00020977789,0.00006342863,0.27202812,0.000012437357,0.000005601466,0.00006975491,0.0002343806,0.0008401863,0.00006770803,0.19420093,0.5320705,0.00019713026],"about_ca_topic_score_codex":0.000046027282,"about_ca_topic_score_gemma":0.00006856207,"teacher_disagreement_score":0.7374124,"about_ca_system_score_codex":0.00034108973,"about_ca_system_score_gemma":0.00020166804,"threshold_uncertainty_score":0.45983166},"labels":[],"label_agreement":null},{"id":"W3132046794","doi":"","title":"The Effect of the Hartz Labor Market Reforms on Post-Unemployment Wages, Sorting, and Matching","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wage; Labour economics; Matching (statistics); Displaced workers; Unemployment; Economics; Sorting; Efficiency wage; Displacement (psychology); Work (physics); Demographic economics","score_opus":0.01800232807016093,"score_gpt":0.26332764039744483,"score_spread":0.24532531232728388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132046794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448074,0.00023391035,0.0000010218109,0.005591857,0.00016802036,0.00049807574,0.00015330734,0.000012893807,0.048533477],"genre_scores_gemma":[0.99605,0.002361924,0.000026985963,0.00045721492,0.00007094922,0.000050255698,0.0000045619,0.0000341136,0.0009439824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791014,0.00021112004,0.0007894158,0.00049410656,0.000091531925,0.0005036948],"domain_scores_gemma":[0.9978996,0.00097081345,0.0003459808,0.00062077073,0.00003714513,0.00012566891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044254274,0.00018328246,0.00041329753,0.000088124994,0.00031637945,0.00013352896,0.0005702186,0.00010470797,0.000052931788],"category_scores_gemma":[0.001434841,0.000119612545,0.00012753229,0.00020217295,0.00022716145,0.0001046483,0.00041090336,0.0005767998,0.000008301151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001231853,0.00011547833,0.60401314,0.0003690526,0.00023110035,0.0000138733285,0.0015432435,0.0007504856,0.00021727853,0.22852154,0.00016051313,0.16283242],"study_design_scores_gemma":[0.0058168657,0.003199788,0.7019273,0.0003544445,0.00002152534,0.000011455847,0.0016063266,0.03506122,0.0016434074,0.10929832,0.13961215,0.0014471554],"about_ca_topic_score_codex":0.00017381934,"about_ca_topic_score_gemma":0.00017653982,"teacher_disagreement_score":0.16138527,"about_ca_system_score_codex":0.00022408293,"about_ca_system_score_gemma":0.00004228842,"threshold_uncertainty_score":0.48776582},"labels":[],"label_agreement":null},{"id":"W3132702764","doi":"10.1093/oep/gpab002","title":"Economic conditions, task shares, and overqualification","year":2021,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Task (project management); Unemployment; Cognition; Quality (philosophy); Economics; Labour economics; Affect (linguistics); Point (geometry); Demographic economics; Psychology; Economic growth; Management; Mathematics; Communication","score_opus":0.016930542368308297,"score_gpt":0.23084097735038522,"score_spread":0.21391043498207693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132702764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85547966,0.0012236851,0.00007259052,0.0016755068,0.00071897515,0.00014446152,0.0027358793,0.00005612081,0.13789311],"genre_scores_gemma":[0.9921022,0.0025224872,0.00024179004,0.0009629999,0.00015740136,0.000039933337,0.00043737522,0.00003599957,0.0034998218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998229,0.000028940667,0.0007281238,0.00068215164,0.00001717534,0.00031459224],"domain_scores_gemma":[0.9988012,0.00009541805,0.0004496556,0.0004941932,0.000013032622,0.00014651174],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004750617,0.0002018217,0.00042167082,0.00010434482,0.00016262234,0.00018534719,0.00016920423,0.00013187142,0.002626941],"category_scores_gemma":[0.00007615731,0.00026942647,0.00012338377,0.00005095606,0.00007982143,0.00032681512,0.00009456185,0.00012538148,0.0005534613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010993535,0.00002834605,0.06967767,0.000024090174,0.00009036351,0.000006452543,0.00006375635,0.00013942641,0.000119568525,0.92770493,0.0013100186,0.00082437036],"study_design_scores_gemma":[0.0009987478,0.000020871505,0.15334529,0.000014564726,0.000015385425,0.0000262618,0.00018246805,0.0036904959,0.00007882122,0.092229396,0.7487554,0.0006423069],"about_ca_topic_score_codex":0.00017160238,"about_ca_topic_score_gemma":0.00034541037,"teacher_disagreement_score":0.83547556,"about_ca_system_score_codex":0.00039488298,"about_ca_system_score_gemma":0.00007511676,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W3133848003","doi":"10.1257/aeri.20190553","title":"The Cyclical Behavior of Job Quality and Real Wage Growth","year":2021,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Economics; Proxy (statistics); Wage; Wage growth; Recession; Quality (philosophy); Labour economics; Macroeconomics","score_opus":0.03477259934945549,"score_gpt":0.29003869599051413,"score_spread":0.25526609664105865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133848003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92485845,0.0514383,0.000047067246,0.002119607,0.00022265465,0.00026061162,0.00016812,0.000017436656,0.020867737],"genre_scores_gemma":[0.724928,0.27361268,0.00026702168,0.0008988186,0.000053589578,0.000044713972,0.000016984024,0.000018022676,0.00016014003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99743557,0.00019499299,0.0015602211,0.0005139219,0.00003151822,0.00026379057],"domain_scores_gemma":[0.9975308,0.000485599,0.0010866381,0.00071123464,0.0000590219,0.00012666566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013536446,0.00018761796,0.0010688292,0.000040413397,0.00013375819,0.000050188395,0.000268617,0.00004606281,0.00008583172],"category_scores_gemma":[0.0003713243,0.00015777498,0.00022113498,0.00018027291,0.00044629467,0.00013390424,0.00014852281,0.00014629248,0.00006530426],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006055076,0.000041427145,0.17557113,0.00015539865,0.000053164247,0.0000042841966,0.00004087084,2.2855754e-7,0.000010880195,0.8122723,0.00013166045,0.011712567],"study_design_scores_gemma":[0.00030966965,0.000063628366,0.87738335,0.00013189862,0.000041273997,0.000012535097,0.00005295119,0.000070343536,0.000033788827,0.052678026,0.06881282,0.00040974154],"about_ca_topic_score_codex":0.0021692512,"about_ca_topic_score_gemma":0.00034476237,"teacher_disagreement_score":0.7595943,"about_ca_system_score_codex":0.00010492254,"about_ca_system_score_gemma":0.00005991852,"threshold_uncertainty_score":0.6433877},"labels":[],"label_agreement":null},{"id":"W3134217494","doi":"10.82396/cjcd.v4i1.2986","title":"'Good Jobs in Good Workplaces’: Reflections on Medium-Term Labour Market Challenges","year":2021,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Argument (complex analysis); Macro; Social policy; Term (time); Inclusion (mineral); Economics; Business; Market economy; Sociology","score_opus":0.054912909484104225,"score_gpt":0.2766521488281414,"score_spread":0.22173923934403716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134217494","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3124422,0.0019143266,0.00019301994,0.008417471,0.0008553303,0.00012860881,0.0001756053,0.00006481161,0.6758086],"genre_scores_gemma":[0.9697211,0.005313097,0.00062385615,0.00086103095,0.00016982036,0.000038290014,0.00002159379,0.000032961518,0.023218287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981113,0.000084204854,0.0006716145,0.0006533345,0.00006625326,0.00041326613],"domain_scores_gemma":[0.9988408,0.00021175318,0.00018472705,0.00059041,0.000058278816,0.00011400493],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011872925,0.00020775363,0.00045059223,0.0002510705,0.00009195293,0.000104240054,0.0002282254,0.00019383617,0.0033748916],"category_scores_gemma":[0.00027717033,0.000231115,0.00011900647,0.00056112633,0.000028657923,0.00017439923,0.000107131826,0.00033076073,0.00022996121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028032018,0.00032063236,0.062044133,0.00004347133,0.00004534701,0.000044732056,0.00022424653,0.00001560754,0.0000082156275,0.9359175,0.00023518428,0.0010729317],"study_design_scores_gemma":[0.0011179273,0.000090167145,0.7305745,0.000058586902,0.0000049011383,0.000010046138,0.0003882815,0.00037489753,0.00006876976,0.20823771,0.058574524,0.00049972127],"about_ca_topic_score_codex":0.0001914663,"about_ca_topic_score_gemma":0.0049431203,"teacher_disagreement_score":0.7276797,"about_ca_system_score_codex":0.00017821667,"about_ca_system_score_gemma":0.0000535696,"threshold_uncertainty_score":0.9975362},"labels":[],"label_agreement":null},{"id":"W3135045448","doi":"10.1257/mac.20210120","title":"Why Didn’t the College Premium Rise Everywhere? Employment Protection and On-the-Job Investment in Skills","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; National Science Foundation","keywords":"Investment (military); Incentive; Wage; Labour economics; Economics; Business; Market economy; Political science","score_opus":0.013228207840381185,"score_gpt":0.22436071241273695,"score_spread":0.21113250457235577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135045448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629076,0.0012805553,0.00028773656,0.02747817,0.0013551076,0.00069182686,0.00042616014,0.00003393249,0.0055389004],"genre_scores_gemma":[0.9891353,0.0026975523,0.00012229476,0.006747236,0.00037438,0.00014086136,0.0000030693457,0.00006933449,0.0007099458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974474,0.00013201841,0.0012319462,0.0006250258,0.00003831122,0.0005253414],"domain_scores_gemma":[0.99830586,0.00037301471,0.0006303367,0.00050324557,0.000015990625,0.00017157028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002360885,0.00034040943,0.0005772429,0.00030370848,0.0002950104,0.0005803522,0.0004732301,0.00007852185,0.00028504946],"category_scores_gemma":[0.00007718039,0.00026859803,0.00019864264,0.00019293361,0.00039848464,0.0003672857,0.00015186153,0.0007389322,0.00026379785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015359225,0.00018894154,0.046341155,0.000046694462,0.0005427176,0.000047800844,0.0014655646,0.0029476164,0.000013136576,0.92300314,0.012743039,0.012506616],"study_design_scores_gemma":[0.001070395,0.00048635164,0.042614255,0.00012580155,0.000032554934,0.00022470744,0.0010554916,0.037946742,0.000034742912,0.36072323,0.5547351,0.0009505951],"about_ca_topic_score_codex":0.0016449008,"about_ca_topic_score_gemma":0.0009986812,"teacher_disagreement_score":0.5622799,"about_ca_system_score_codex":0.0015347217,"about_ca_system_score_gemma":0.00013118233,"threshold_uncertainty_score":0.99997663},"labels":[],"label_agreement":null},{"id":"W3135225171","doi":"10.2139/ssrn.3630471","title":"Technological Innovation and Labor Income Risk","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Labour economics; Business; Economics","score_opus":0.014414028291242583,"score_gpt":0.21377245636788866,"score_spread":0.19935842807664608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135225171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694831,0.0023466083,0.021138126,0.0059443093,0.00006241752,0.00006845292,0.00005257349,0.000041644154,0.00086276635],"genre_scores_gemma":[0.99382114,0.0052679866,0.00022764369,0.00045566898,0.00012001495,0.0000026208938,0.000003642061,0.000012865479,0.00008839183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845195,0.000028260605,0.00048346928,0.00022831,0.000035850924,0.00077215576],"domain_scores_gemma":[0.9993862,0.000030364257,0.00037719164,0.00010294627,0.00005014722,0.00005316679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022872158,0.000105092004,0.00022342625,0.00013265078,0.0001388467,0.00007215184,0.00017579201,0.000107025786,0.000049878618],"category_scores_gemma":[0.0006686429,0.000101487174,0.0000383635,0.0006290404,0.00007004399,0.0001596883,0.00006239419,0.0013882783,0.000038011658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014681584,0.0000119701945,0.21368784,0.0000031322231,0.00003442762,0.0000012086759,0.000029767747,0.0000036034628,0.000010569904,0.7806527,0.000004296178,0.0055458187],"study_design_scores_gemma":[0.00041582424,0.00015214291,0.031953044,0.0000024758845,0.000004246106,0.00002281341,0.0001227882,0.0008904966,0.0000054302727,0.96269214,0.0036008372,0.00013778251],"about_ca_topic_score_codex":0.000028208675,"about_ca_topic_score_gemma":0.00002458188,"teacher_disagreement_score":0.18203942,"about_ca_system_score_codex":0.00021137699,"about_ca_system_score_gemma":0.00011936624,"threshold_uncertainty_score":0.60314554},"labels":[],"label_agreement":null},{"id":"W3135329861","doi":"10.2139/ssrn.3410565","title":"Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Training (meteorology); Inner mongolia; China; Business; Psychology; Political science; Geography; Meteorology","score_opus":0.043214801804896105,"score_gpt":0.24525695291538513,"score_spread":0.202042151110489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135329861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98479223,0.008968669,0.0037617707,0.00021099063,0.00051838317,0.00021401183,0.00004310783,0.000036935162,0.0014538883],"genre_scores_gemma":[0.99686897,0.0018308585,0.00027034633,0.00008126612,0.0002840874,0.000009176866,0.000020900012,0.000037081736,0.000597332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709356,0.000052577514,0.000644809,0.00043440922,0.00009428218,0.0016803906],"domain_scores_gemma":[0.99903136,0.000051832612,0.00044972045,0.00031045603,0.0000370847,0.000119536824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019366266,0.00020944819,0.00042392232,0.000112689224,0.00013206482,0.00018541218,0.00045296486,0.000113908776,0.00021778776],"category_scores_gemma":[0.00006627912,0.00021629946,0.00020437865,0.00017818356,0.000036787802,0.0005011993,0.00007102866,0.0010613744,0.00025036032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012962375,0.00019519102,0.43037108,0.000009159941,0.00036911241,0.000006085093,0.009118365,0.00013759236,0.00031091418,0.55458903,0.000007050145,0.004756818],"study_design_scores_gemma":[0.002450742,0.0010038972,0.018331634,0.0002166017,0.000038093123,0.00006548103,0.022671135,0.007260254,0.000104314924,0.94598705,0.0008313847,0.0010394012],"about_ca_topic_score_codex":0.00083398476,"about_ca_topic_score_gemma":0.00027876423,"teacher_disagreement_score":0.41203946,"about_ca_system_score_codex":0.0008682148,"about_ca_system_score_gemma":0.0003475557,"threshold_uncertainty_score":0.8820436},"labels":[],"label_agreement":null},{"id":"W3136153010","doi":"10.1787/3ed32d94-en","title":"Demand for AI skills in jobs","year":2021,"lang":"en","type":"paratext","venue":"OECD science, technology and industry working papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Teamwork; Work (physics); Creativity; Business; Knowledge management; Computer science; Marketing; Psychology; Engineering; Management; Economics","score_opus":0.01852535932750672,"score_gpt":0.25723877902367753,"score_spread":0.23871341969617083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136153010","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42436835,0.009731908,0.00028644307,0.008063001,0.0055878265,0.0008469275,0.00046370892,0.000095763244,0.55055606],"genre_scores_gemma":[0.93433964,0.0012046457,0.00051033916,0.0008797411,0.0001726086,0.00010794723,0.00005146205,0.000035928493,0.062697664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708104,0.000018877332,0.0007645177,0.0012503329,0.000075337506,0.0008099112],"domain_scores_gemma":[0.9987082,0.00010419588,0.0004398583,0.000583488,0.000052421863,0.0001118299],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017851455,0.00034301085,0.0008215352,0.0022413838,0.00045754315,0.00023553632,0.000756337,0.0023974474,0.0006705762],"category_scores_gemma":[0.0003359051,0.0003841058,0.00009926758,0.0025258048,0.0011758457,0.00013672448,0.00033182718,0.0019347111,0.000110556415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018351117,0.00018305428,0.18993048,0.00013333447,0.00008095768,0.000028120916,0.00015197971,0.00014265555,0.00014615069,0.7841393,0.0061818804,0.018863747],"study_design_scores_gemma":[0.0006922618,0.000059439633,0.005976736,0.00029546267,0.0000105740255,0.000015465721,0.00017772088,0.00028418706,0.00012540723,0.044695683,0.946917,0.00075007154],"about_ca_topic_score_codex":0.000024185712,"about_ca_topic_score_gemma":0.000047826095,"teacher_disagreement_score":0.9407351,"about_ca_system_score_codex":0.0002131899,"about_ca_system_score_gemma":0.00027558111,"threshold_uncertainty_score":0.99986106},"labels":[],"label_agreement":null},{"id":"W3137528812","doi":"10.1257/mac.20200057","title":"Labor Market Responses to Unemployment Insurance: The Role of Heterogeneity","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Incentive; Unemployment; Receipt; Economics; Labour economics; Scope (computer science); Matching (statistics); Value (mathematics); Differential (mechanical device); Microeconomics; Macroeconomics","score_opus":0.01577734196610129,"score_gpt":0.25686456559849263,"score_spread":0.24108722363239135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137528812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98778826,0.00042106025,0.0000881026,0.003880466,0.0008989369,0.000288588,0.0020822936,0.00005065741,0.004501639],"genre_scores_gemma":[0.9955269,0.0018750678,0.00038691075,0.0012578212,0.00027912727,0.00003918828,0.000008986563,0.00006690643,0.00055910175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970319,0.00012380187,0.0016176148,0.00052066986,0.00004553522,0.0006604697],"domain_scores_gemma":[0.9970629,0.00039991885,0.00143846,0.00076360395,0.000055490218,0.00027962597],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029580723,0.00030034484,0.00085179164,0.00044635785,0.0002542867,0.000190999,0.00093832955,0.000066257286,0.00035100346],"category_scores_gemma":[0.00020131888,0.00029257208,0.00032270333,0.0004167123,0.00030462068,0.0002447246,0.0002876194,0.0003182351,0.0008933124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033021462,0.000054889177,0.9162361,0.000010538079,0.00028465933,0.000007153014,0.00050454616,0.0026560863,0.000056267298,0.063690275,0.0017072656,0.01446202],"study_design_scores_gemma":[0.00078239647,0.0003282028,0.6794689,0.000019774801,0.000015681546,0.00006326608,0.0013459623,0.0065212226,0.00034602615,0.1102755,0.20012829,0.00070472574],"about_ca_topic_score_codex":0.0006912733,"about_ca_topic_score_gemma":0.00020477662,"teacher_disagreement_score":0.23676713,"about_ca_system_score_codex":0.0004960587,"about_ca_system_score_gemma":0.00013848512,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W3137649008","doi":"10.1086/728084","title":"Minimum-Wage Effects on Human Capital Accumulation: Evidence from Canadian Data","year":2023,"lang":"en","type":"article","venue":"Journal of Human Capital","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Download; Human capital; Wage; Economics; Wage share; Labour economics; Efficiency wage; Economic growth; Computer science; World Wide Web","score_opus":0.13007994069899187,"score_gpt":0.32801721504328846,"score_spread":0.1979372743442966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137649008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947844,0.0008634091,0.000026031892,0.00097179605,0.0011385271,0.00014427246,0.0008600258,0.000023653925,0.0011878716],"genre_scores_gemma":[0.99790394,0.00010477415,0.000066686094,0.0002037879,0.0010589107,0.0000023737812,0.00023688331,0.000036656784,0.00038599322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794585,0.00006152843,0.0010079448,0.00042816115,0.00015494543,0.00040159188],"domain_scores_gemma":[0.9976445,0.00036755775,0.000750358,0.00082386145,0.00009160727,0.00032211942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015877251,0.00021515749,0.00052258937,0.00057483587,0.00029229364,0.00025299512,0.0010067122,0.00013814765,0.0005385015],"category_scores_gemma":[0.0004532075,0.00022753426,0.00020279322,0.00028015234,0.000051986495,0.00084103836,0.00016789818,0.00039645887,0.00036896396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017014616,0.00044737678,0.5421741,0.00024578418,0.0013755863,0.0036042451,0.012202424,0.00057496224,0.0026446814,0.3994204,0.03384509,0.003295194],"study_design_scores_gemma":[0.0014085775,0.0006682943,0.7918502,0.00030486524,0.00004961461,0.000014653937,0.00030713892,0.0009634895,0.00008845117,0.20121911,0.002493317,0.0006322769],"about_ca_topic_score_codex":0.021885045,"about_ca_topic_score_gemma":0.026632234,"teacher_disagreement_score":0.24967611,"about_ca_system_score_codex":0.00030165224,"about_ca_system_score_gemma":0.00010250647,"threshold_uncertainty_score":0.99112916},"labels":[],"label_agreement":null},{"id":"W3142686444","doi":"","title":"Pay Transparency and the Gender Gap","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto; Government of Canada","keywords":"Salary; Transparency (behavior); Gender pay gap; Demographic economics; Gender gap; Exploit; Political science; Business; Accounting; Labour economics; Economics; Wage; Law","score_opus":0.0474023021964732,"score_gpt":0.2797627150749112,"score_spread":0.23236041287843798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142686444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6908367,0.0003876702,0.00001425737,0.0010013633,0.00024966514,0.00043638787,0.00007062273,0.0000130491335,0.30699024],"genre_scores_gemma":[0.9888048,0.0075036553,0.00009565497,0.00023529334,0.00006592395,0.00005780489,0.000009041954,0.000029576686,0.0031982155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980068,0.00012438373,0.00067463116,0.00059419114,0.000055802848,0.00054416433],"domain_scores_gemma":[0.99851817,0.0005261981,0.00014234461,0.0006805923,0.000031453215,0.00010124554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043887547,0.00015628156,0.00044963564,0.00020670207,0.00012254993,0.00012691745,0.00039587994,0.00013121088,0.00044945415],"category_scores_gemma":[0.00021855324,0.00011942,0.00010748336,0.00017408787,0.00029129907,0.00016255704,0.00013188903,0.00053608464,0.00009180746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013455714,0.000056989134,0.23165539,0.000052169707,0.000050183604,0.000003777736,0.0006031722,0.00017766512,0.000006717184,0.74823064,0.000009010539,0.019019734],"study_design_scores_gemma":[0.005660881,0.000094020135,0.22935767,0.000028848082,0.000004718735,0.000010040264,0.00063468114,0.025057565,0.00000966035,0.6618393,0.07669503,0.0006075696],"about_ca_topic_score_codex":0.00018452032,"about_ca_topic_score_gemma":0.00012451637,"teacher_disagreement_score":0.30379203,"about_ca_system_score_codex":0.00017360716,"about_ca_system_score_gemma":0.00005116805,"threshold_uncertainty_score":0.49212077},"labels":[],"label_agreement":null},{"id":"W3143410519","doi":"","title":"The Short- and Long-Term Career Effects of Graduating in a Recession: Hysteresis and Heterogeneity in the Market for College Graduates","year":2006,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Recession; Economics; Graduation (instrument); Labour economics; Wage; Business cycle; Demographic economics; Macroeconomics; Finance","score_opus":0.17670103507223237,"score_gpt":0.41026116468777846,"score_spread":0.2335601296155461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143410519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936289,0.0019907607,0.000010050918,0.0011207674,0.000051308958,0.00060592854,0.00015604158,0.0000014190982,0.00243482],"genre_scores_gemma":[0.9992775,0.00037374473,0.00006776365,0.000016577593,0.000040634106,0.0001259562,0.000018916995,0.000008435953,0.00007048197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986462,0.00015722691,0.0006220701,0.00026318803,0.0000927993,0.00021854526],"domain_scores_gemma":[0.995994,0.003571117,0.00015687676,0.00015892134,0.00009727961,0.00002186057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006260127,0.00008643802,0.00026262284,0.00024359874,0.00011621989,0.000055051703,0.00022707162,0.0000683248,0.0000045887405],"category_scores_gemma":[0.0005923301,0.00006671299,0.000046521487,0.00017467064,0.0001704679,0.0001056819,0.000081991326,0.00013476622,3.8853378e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006961025,0.00004872923,0.54924333,0.00016242513,0.000015958416,0.0000010220359,0.000058604666,0.000016958404,0.00003271664,0.44973984,0.00014551444,0.00046528495],"study_design_scores_gemma":[0.00049448584,0.00004648765,0.5507688,0.000038081795,0.0000012757093,0.0000012096532,0.00003083956,0.0037654696,0.00009976016,0.44464955,0.00004324313,0.00006079125],"about_ca_topic_score_codex":0.0007343858,"about_ca_topic_score_gemma":0.004083901,"teacher_disagreement_score":0.005667797,"about_ca_system_score_codex":0.00012385094,"about_ca_system_score_gemma":0.000040727504,"threshold_uncertainty_score":0.2720477},"labels":[],"label_agreement":null},{"id":"W3144749755","doi":"","title":"Social Ties and the Job Search of Recent Immigrants","year":2009,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Wage; Demographic economics; Replicate; Percentile; Distribution (mathematics); Econometrics; Interpersonal ties; Social network (sociolinguistics); Economics; Labour economics; Psychology; Statistics; Computer science; Mathematics; Social psychology; Political science","score_opus":0.2533839976890951,"score_gpt":0.4406629658706106,"score_spread":0.18727896818151551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144749755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7495399,0.0009066885,0.000019998679,0.015883293,0.000079612386,0.0003120465,0.00015557064,0.0000054102625,0.23309745],"genre_scores_gemma":[0.99808186,0.0011417334,0.00006741179,0.0000889904,0.0001084915,0.000008375273,0.000015051308,0.0000067119754,0.00048137174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998651,0.00011440133,0.00062031084,0.00023471056,0.00015128525,0.00022829288],"domain_scores_gemma":[0.99881047,0.0005096749,0.00018188736,0.00015273003,0.00030538868,0.000039824332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071543837,0.00007799532,0.0003408306,0.00028015324,0.00014640758,0.000042819323,0.00029771574,0.000087373126,0.00023573432],"category_scores_gemma":[0.00039997176,0.00006843823,0.000082574974,0.00019152909,0.00045209014,0.000118217744,0.000077790784,0.00023240292,0.000025606021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001752267,0.000039370298,0.0052307877,0.0000150387195,0.000038388724,1.7565435e-7,0.00037241567,0.000027849926,0.000020521404,0.99187154,0.00051706133,0.0016916017],"study_design_scores_gemma":[0.0010237142,0.00004941782,0.047682013,0.0000039436536,0.0000013127226,7.6995866e-7,0.00008762903,0.0017353906,0.000058450274,0.9482836,0.0010054178,0.00006832208],"about_ca_topic_score_codex":0.0010619925,"about_ca_topic_score_gemma":0.00006601985,"teacher_disagreement_score":0.24854194,"about_ca_system_score_codex":0.00015100506,"about_ca_system_score_gemma":0.00010347466,"threshold_uncertainty_score":0.27908298},"labels":[],"label_agreement":null},{"id":"W3146141236","doi":"10.2139/ssrn.4653665","title":"Firm Heterogeneity in Skill Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; Simon Fraser University","funders":"","keywords":"Business; Economics; Monetary economics","score_opus":0.019638652848004163,"score_gpt":0.24312914784974504,"score_spread":0.22349049500174087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146141236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278855,0.001794534,0.0006292991,0.0012077945,0.00041100424,0.00008258529,0.000041857445,0.000042975997,0.003001381],"genre_scores_gemma":[0.9907456,0.0073601934,0.000028792289,0.00013872058,0.00015463756,0.000006167358,0.000012891539,0.000025588655,0.0015274008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709845,0.000038247716,0.00061362935,0.00028767227,0.000055023742,0.0019069876],"domain_scores_gemma":[0.9993723,0.000042247186,0.00024415113,0.00024054201,0.000025781259,0.000074980795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004615563,0.0001376382,0.0002987619,0.00032798108,0.00010520279,0.00006835007,0.00030748485,0.00010377308,0.00006156415],"category_scores_gemma":[0.00017560781,0.00014845595,0.00014438081,0.0006453616,0.000023601806,0.00018578471,0.00006392649,0.001191808,0.00033444737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017215398,0.00004737383,0.19547074,0.0000059970866,0.000052242754,0.000014584076,0.000139327,0.000090629444,0.000007940097,0.802646,0.000055671662,0.0014522815],"study_design_scores_gemma":[0.0005192605,0.00006850815,0.08240833,0.0000076108054,0.000002074302,0.000039683997,0.0001724374,0.001361172,0.0000054023994,0.9114492,0.0037729535,0.00019334695],"about_ca_topic_score_codex":0.0002608288,"about_ca_topic_score_gemma":0.0037127784,"teacher_disagreement_score":0.113062404,"about_ca_system_score_codex":0.00086732284,"about_ca_system_score_gemma":0.00023142944,"threshold_uncertainty_score":0.6053858},"labels":[],"label_agreement":null},{"id":"W3147280966","doi":"","title":"Understanding differences in job growth in Europe, Canada and the United States: what went wrong in the United States?","year":2015,"lang":"en","type":"article","venue":"Chapters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Demographic economics; CITES; Recession; Job loss; Economics; Job market; Productivity; Annual growth %; Population; Labour economics; Unemployment; Economic growth; Demography; Macroeconomics; Sociology; Polarization (electrochemistry)","score_opus":0.11301638072899504,"score_gpt":0.22290115321697643,"score_spread":0.10988477248798138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147280966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251914,0.00037620496,0.00023571435,0.0056682425,0.00022142932,0.00021874727,0.000058115445,0.0000054871534,0.0006969167],"genre_scores_gemma":[0.99428177,0.0038189923,0.0000050549493,0.0017643054,0.000010394101,0.000012045726,0.0000702051,0.000011670232,0.000025547672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875516,0.00016226411,0.00047496238,0.00024658637,0.00007361014,0.00028743508],"domain_scores_gemma":[0.99920243,0.00035064536,0.00016176584,0.00018723936,0.00003499202,0.000062925756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936334,0.00014363605,0.00027650088,0.00036480656,0.000052033738,0.00022212674,0.00027985068,0.000038104605,0.000007016366],"category_scores_gemma":[0.0001985948,0.00010008602,0.000015404068,0.0011802041,0.00013268454,0.00020664143,0.00007025608,0.00023484182,0.0000012634732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008733934,0.000027780996,0.6128082,0.000020950194,0.000015560665,0.0000383383,0.012864117,0.0011660658,5.5728187e-8,0.37285623,0.000071032875,0.00004431782],"study_design_scores_gemma":[0.006072044,0.00008382522,0.43519065,0.00020309443,0.0000073186875,0.000003893223,0.080578655,0.222306,6.2676156e-7,0.25092638,0.0039912006,0.0006362984],"about_ca_topic_score_codex":0.7455594,"about_ca_topic_score_gemma":0.6722453,"teacher_disagreement_score":0.22113992,"about_ca_system_score_codex":0.00038460759,"about_ca_system_score_gemma":0.000051332263,"threshold_uncertainty_score":0.40813893},"labels":[],"label_agreement":null},{"id":"W3148166102","doi":"","title":"The impact of the economic and financial crisis on youth employment: measures for labour market recovery in the European Union, Canada and the United States","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Youth unemployment; Financial crisis; Economics; European union; Labour economics; Demographic economics; Economic policy; Economic growth; Macroeconomics","score_opus":0.026088523903218443,"score_gpt":0.26523526183165586,"score_spread":0.2391467379284374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148166102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98452026,0.00032023044,0.000004034915,0.0034619982,0.00047412782,0.0013430492,0.0042260587,0.0000046643027,0.0056456085],"genre_scores_gemma":[0.98128325,0.017804781,0.000011736594,0.00028812463,0.00013513619,0.00012307396,0.0000670978,0.000050496572,0.00023631263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959195,0.001531655,0.0011441896,0.00069039286,0.00009770893,0.00061652047],"domain_scores_gemma":[0.9941836,0.0036608472,0.0006748393,0.001308349,0.00009029378,0.00008205763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020959951,0.00033810164,0.0006277462,0.00025525148,0.00046280256,0.00038237538,0.0013039556,0.00020828236,0.000011822939],"category_scores_gemma":[0.0022331702,0.00019289668,0.00022659902,0.00017684865,0.0005586004,0.0000643496,0.0007414618,0.001493472,4.1535264e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005332292,0.0005541592,0.4661449,0.0006944338,0.0016244056,0.000023508746,0.017574847,0.1277198,0.000003610128,0.25230056,0.00523991,0.12278757],"study_design_scores_gemma":[0.0035592313,0.00020740973,0.70353067,0.00015867526,0.00002399202,0.000005008935,0.0031473718,0.018904103,0.000004761908,0.2379062,0.031791266,0.00076128414],"about_ca_topic_score_codex":0.44927827,"about_ca_topic_score_gemma":0.6315986,"teacher_disagreement_score":0.2373858,"about_ca_system_score_codex":0.0009327777,"about_ca_system_score_gemma":0.0007557967,"threshold_uncertainty_score":0.7866099},"labels":[],"label_agreement":null},{"id":"W3148972316","doi":"10.2139/ssrn.3616821","title":"Technological Innovation and Labor Income Risk","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Labour economics; Economics; Business","score_opus":0.014414028291242583,"score_gpt":0.21377245636788866,"score_spread":0.19935842807664608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148972316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694831,0.0023466083,0.021138126,0.0059443093,0.00006241752,0.00006845292,0.00005257349,0.000041644154,0.00086276635],"genre_scores_gemma":[0.99382114,0.0052679866,0.00022764369,0.00045566898,0.00012001495,0.0000026208938,0.000003642061,0.000012865479,0.00008839183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845195,0.000028260605,0.00048346928,0.00022831,0.000035850924,0.00077215576],"domain_scores_gemma":[0.9993862,0.000030364257,0.00037719164,0.00010294627,0.00005014722,0.00005316679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022872158,0.000105092004,0.00022342625,0.00013265078,0.0001388467,0.00007215184,0.00017579201,0.000107025786,0.000049878618],"category_scores_gemma":[0.0006686429,0.000101487174,0.0000383635,0.0006290404,0.00007004399,0.0001596883,0.00006239419,0.0013882783,0.000038011658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014681584,0.0000119701945,0.21368784,0.0000031322231,0.00003442762,0.0000012086759,0.000029767747,0.0000036034628,0.000010569904,0.7806527,0.000004296178,0.0055458187],"study_design_scores_gemma":[0.00041582424,0.00015214291,0.031953044,0.0000024758845,0.000004246106,0.00002281341,0.0001227882,0.0008904966,0.0000054302727,0.96269214,0.0036008372,0.00013778251],"about_ca_topic_score_codex":0.000028208675,"about_ca_topic_score_gemma":0.00002458188,"teacher_disagreement_score":0.18203942,"about_ca_system_score_codex":0.00021137699,"about_ca_system_score_gemma":0.00011936624,"threshold_uncertainty_score":0.60314554},"labels":[],"label_agreement":null},{"id":"W3151309742","doi":"10.2139/ssrn.3574436","title":"Beyond Cobb-Douglas: Flexibly Estimating Matching Functions with Unobserved Matching Efficiency","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"CobB; Matching (statistics); Econometrics; Economics; Mathematics; Computer science; Statistics","score_opus":0.01871929922425732,"score_gpt":0.21874638076040562,"score_spread":0.2000270815361483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151309742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5316786,0.0011494174,0.46083072,0.002095998,0.00040531336,0.00011581012,0.000037418406,0.000068053,0.0036186553],"genre_scores_gemma":[0.9933535,0.0002464272,0.0045979633,0.0007186756,0.0006050659,0.0000074329423,0.000016915761,0.000058957616,0.0003950902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968012,0.000052942527,0.0008208921,0.00045523318,0.00011807043,0.0017516667],"domain_scores_gemma":[0.99877733,0.00008798615,0.0006366655,0.00023640896,0.00007185684,0.00018977838],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023910694,0.000264838,0.00045493786,0.00013876468,0.0005961699,0.00030022915,0.00042170013,0.00008929365,0.00009847527],"category_scores_gemma":[0.00013311936,0.00025522604,0.00016008389,0.00054227066,0.000046221976,0.00047808525,0.000080901955,0.0019089171,0.00012044128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009910238,0.000095352974,0.007591911,0.000037745234,0.000223918,0.00001192275,0.0011817977,0.021165667,0.00005288084,0.96803725,0.000026401265,0.0014760391],"study_design_scores_gemma":[0.0012663924,0.00045772723,0.001241691,0.000038973867,0.000029782474,0.00014095876,0.0017265753,0.022866473,0.0000048541597,0.9710706,0.00066462136,0.00049133727],"about_ca_topic_score_codex":0.00030413302,"about_ca_topic_score_gemma":0.00026670977,"teacher_disagreement_score":0.46167484,"about_ca_system_score_codex":0.0005918356,"about_ca_system_score_gemma":0.00050449383,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W3154237849","doi":"10.1111/caje.12489","title":"On the interpretation of diploma wage effects estimated by regression discontinuity designs","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Regression discontinuity design; Inefficiency; Wage; Economics; Discontinuity (linguistics); Interpretation (philosophy); Econometrics; Regression; Function (biology); Test (biology); Regression analysis; Labour economics; Microeconomics; Mathematics; Statistics; Computer science","score_opus":0.10051116020275516,"score_gpt":0.20581884551595497,"score_spread":0.10530768531319981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154237849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146605,0.0008177537,0.001429446,0.002331869,0.0011045104,0.00021201184,0.0008200978,0.0000045487873,0.0018136878],"genre_scores_gemma":[0.99846613,0.00017478131,0.00023809404,0.00058222323,0.00009831547,0.000011164708,0.00004105102,0.000044179076,0.00034402983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976919,0.0001298138,0.0013043436,0.00037551674,0.0000030286217,0.00049537007],"domain_scores_gemma":[0.99650437,0.00065544114,0.0014540276,0.0005410103,0.00018134995,0.00066378777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013900594,0.00026640383,0.0008152356,0.00032947477,0.00015273178,0.00014319616,0.0005174673,0.0001797135,0.00029964297],"category_scores_gemma":[0.0013481155,0.0002583047,0.00029308355,0.00019235886,0.0001513505,0.00031556297,0.00003076897,0.00037518152,0.000014096085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007262746,0.000034938974,0.009931602,0.00005445404,0.00017579095,0.00008727559,0.000814001,0.0015985697,0.00007915603,0.9845108,0.00086029054,0.0017805238],"study_design_scores_gemma":[0.0009081124,0.0003764025,0.0058065625,0.00044945485,0.000037389695,0.000085307496,0.00021448113,0.018348096,0.0015605522,0.9697283,0.0019809038,0.0005044199],"about_ca_topic_score_codex":0.025557157,"about_ca_topic_score_gemma":0.51900303,"teacher_disagreement_score":0.4934459,"about_ca_system_score_codex":0.001043975,"about_ca_system_score_gemma":0.00064124883,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W3156187973","doi":"10.3982/qe1053","title":"From dual to unified employment protection: Transition and steady state","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Employment protection legislation; Dual (grammatical number); Economics; Epitome; Welfare; Wage; Human capital; Matching (statistics); Labour economics; Macroeconomics; Unemployment; Market economy; Computer science","score_opus":0.05836353940781236,"score_gpt":0.2590721607130114,"score_spread":0.20070862130519906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156187973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9615866,0.0002929269,0.030077146,0.0029607622,0.00045802022,0.00027435258,0.001964138,0.000030479445,0.0023555907],"genre_scores_gemma":[0.9927903,0.00026682526,0.0054512327,0.0006747012,0.00008720875,0.00004528482,0.00011861788,0.000030093197,0.00053576427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985603,0.000050606148,0.00057602325,0.0005730255,0.000019836718,0.00022020143],"domain_scores_gemma":[0.9992624,0.00008788773,0.00019478831,0.00026052463,0.000068761794,0.0001256531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044592124,0.00016629664,0.00038145809,0.000103696264,0.000104087565,0.00015716799,0.00007004877,0.000068051384,0.00020302727],"category_scores_gemma":[0.000078774385,0.00021553849,0.000065867396,0.0001511659,0.00004127858,0.000253172,0.00005617535,0.00012359147,0.00018322715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001374177,0.00012980036,0.0017137686,0.000023120772,0.00018712014,0.00001783148,0.006120453,0.0012691711,0.00020102042,0.98801214,0.000060479295,0.0021276546],"study_design_scores_gemma":[0.0014217861,0.000334483,0.027524803,0.000030393108,0.00001583591,0.0000061315086,0.002342076,0.011935474,0.0006876663,0.9311126,0.023840176,0.00074858824],"about_ca_topic_score_codex":0.00095850765,"about_ca_topic_score_gemma":0.00067710323,"teacher_disagreement_score":0.056899574,"about_ca_system_score_codex":0.00014769722,"about_ca_system_score_gemma":0.000039428724,"threshold_uncertainty_score":0.8789404},"labels":[],"label_agreement":null},{"id":"W3158876610","doi":"10.3386/w28757","title":"Four Decades of Canadian Earnings Inequality and Dynamics across Workers and Firms","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Statistics Canada; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Inequality; Labour economics; Dynamics (music); Demographic economics; Economics; Business; Psychology; Accounting; Mathematics","score_opus":0.32616163414726207,"score_gpt":0.4567754351788556,"score_spread":0.13061380103159353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158876610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77474344,0.0036244232,0.000022141541,0.0012844731,0.00044719075,0.0004192629,0.0062327706,0.00000808834,0.2132182],"genre_scores_gemma":[0.98771495,0.007841649,0.00045720334,0.000021258056,0.00017898616,0.000028212238,0.00068823964,0.00004558903,0.0030239106],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671507,0.00012204038,0.0014794733,0.00079267006,0.00032836082,0.0005623982],"domain_scores_gemma":[0.9963298,0.00090761407,0.0009011566,0.00039056008,0.0011885371,0.00028236452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012713162,0.00025320848,0.0010254917,0.0014478897,0.00018678005,0.00014510096,0.00036402454,0.0006057016,0.00020579777],"category_scores_gemma":[0.0032337853,0.00030924322,0.00014429507,0.0005380175,0.00048538577,0.00018296269,0.0003295387,0.0008006483,0.000009052796],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027060816,0.00003451026,0.59358203,0.00053430005,0.000279475,0.000007714041,0.00023048471,0.000078632984,0.0000013151147,0.402371,0.0012395512,0.0016139093],"study_design_scores_gemma":[0.0008955651,0.000115911855,0.4298394,0.0003168332,0.000015750662,0.000036789297,0.00050975307,0.0066503207,0.00000772747,0.5203268,0.040556114,0.00072902],"about_ca_topic_score_codex":0.40205127,"about_ca_topic_score_gemma":0.18610445,"teacher_disagreement_score":0.21594682,"about_ca_system_score_codex":0.00180599,"about_ca_system_score_gemma":0.002405082,"threshold_uncertainty_score":0.999936},"labels":[],"label_agreement":null},{"id":"W3159830850","doi":"","title":"Underrepresentation of Women in Canada's Information and Communication Technology Sector: What Can be Learn from a Canadian Survey of Adult Skills?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Information and Communications Technology; Economic shortage; Proxy (statistics); Wage; Demographic economics; Phenomenon; Business; Labour economics; Political science; Economics; Government (linguistics); Computer science","score_opus":0.01040445877509171,"score_gpt":0.21312459848848064,"score_spread":0.20272013971338892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159830850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771696,0.00067034893,0.00018199864,0.0009274299,0.00007757853,0.000072512186,0.00017392769,0.000001934769,0.00017733494],"genre_scores_gemma":[0.99474007,0.005049329,0.00002727894,0.00009055653,0.0000083834375,0.000002949549,0.00006532138,0.000005628874,0.000010504959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985716,0.000064257656,0.00055846665,0.00008990396,0.000042618336,0.00067317166],"domain_scores_gemma":[0.9989918,0.00006364804,0.0004930026,0.00019399174,0.00018678099,0.00007079105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017627832,0.00006856706,0.00023017882,0.00033790685,0.000057819783,0.000034323566,0.00018784807,0.00007164177,0.000025780393],"category_scores_gemma":[0.00034840827,0.00007993804,0.000013611915,0.00033758197,0.00006068614,0.00038265507,0.000027779264,0.00038409105,6.704665e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020405021,0.000012465827,0.89032406,0.000004922925,0.000050608633,1.260054e-7,0.0012497676,0.000019345835,0.0000037630264,0.10277317,0.000003510677,0.0055378475],"study_design_scores_gemma":[0.0005231747,0.000076286255,0.6698778,0.000019490952,0.0000020915331,0.0000038047342,0.006129173,0.001126183,0.000024968516,0.32201004,0.00010782809,0.00009916728],"about_ca_topic_score_codex":0.9976762,"about_ca_topic_score_gemma":0.99990207,"teacher_disagreement_score":0.22044627,"about_ca_system_score_codex":0.004234832,"about_ca_system_score_gemma":0.0036593035,"threshold_uncertainty_score":0.9995877},"labels":[],"label_agreement":null},{"id":"W3160024401","doi":"10.2139/ssrn.3772614","title":"Labor Market Institutions and the Distribution of Wages: The Role of Spillover Effects","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Spillover effect; Labour economics; Distribution (mathematics); Economics; Microeconomics","score_opus":0.005758419796669111,"score_gpt":0.20087799690530792,"score_spread":0.1951195771086388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160024401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95224774,0.03194617,0.006790728,0.0020018034,0.00021867976,0.00014387952,0.00020496057,0.0000041393805,0.0064419047],"genre_scores_gemma":[0.98717976,0.012374049,0.000017095472,0.000062246596,0.000058874866,0.0000040870586,0.000008804509,0.0000058516875,0.00028926294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886453,0.00010227329,0.00040894665,0.00012030407,0.00004937752,0.00045453943],"domain_scores_gemma":[0.99911886,0.00020434445,0.00034957976,0.00021053065,0.00009212997,0.000024560391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028030234,0.000080396276,0.00024718314,0.000027745165,0.00015139354,0.00003232819,0.00016559957,0.00004760417,0.000026444419],"category_scores_gemma":[0.0005217264,0.00005217335,0.00011275191,0.0002387061,0.00018303395,0.00009251193,0.000056937177,0.0005055337,0.0000018066021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049300575,0.000038167855,0.015722271,0.0000129279615,0.00012493585,5.7289867e-7,0.00008114413,0.00001540468,0.000022777414,0.9818574,0.000013318296,0.0020617477],"study_design_scores_gemma":[0.0010112267,0.000044432458,0.031763464,0.000015857122,0.000026628115,0.00004141547,0.00031733344,0.00070918375,0.0000913472,0.9571023,0.0088045765,0.00007224485],"about_ca_topic_score_codex":0.00016908757,"about_ca_topic_score_gemma":0.00019278588,"teacher_disagreement_score":0.034931995,"about_ca_system_score_codex":0.00014990421,"about_ca_system_score_gemma":0.0003824888,"threshold_uncertainty_score":0.21963204},"labels":[],"label_agreement":null},{"id":"W3163474971","doi":"","title":"Does Census Hiring Stimulate Jobs Growth","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Peacetime; Spillover effect; Microdata (statistics); Government (linguistics); American Community Survey; Workforce; Economics; Schedule; Yield (engineering); Percentage point; Demographic economics; Labour economics; Geography; Economic growth; Population; Finance; Demography; Sociology","score_opus":0.00939005195115441,"score_gpt":0.20711544559005554,"score_spread":0.19772539363890113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163474971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860387,0.0014555653,0.0022075025,0.0010918322,0.0012311317,0.00012587011,0.00005447102,0.000034920027,0.007760024],"genre_scores_gemma":[0.99181247,0.0030290114,0.00010147221,0.00015553173,0.00026214382,0.0000021166722,0.0000074129985,0.000036292946,0.004593542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971173,0.000031426465,0.0006033541,0.0003356151,0.00006705462,0.0018452922],"domain_scores_gemma":[0.9991289,0.00005324176,0.00038434542,0.00027277708,0.000066821805,0.00009391398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002644164,0.00018012697,0.00036290922,0.00016673394,0.00013537395,0.00012696313,0.00034957123,0.00009935057,0.00021316139],"category_scores_gemma":[0.00009880685,0.00013860343,0.00017721704,0.00019969593,0.000022758082,0.0002768448,0.000065423716,0.0012569346,0.00034625395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026586014,0.000032550277,0.1625679,0.000010836332,0.00009965057,0.0000028064896,0.000039012517,0.00008903313,0.000020179077,0.8359959,0.0000099007275,0.0011056261],"study_design_scores_gemma":[0.0007830341,0.00010401868,0.019361481,0.000011658873,0.0000067004057,0.000032084834,0.00010673121,0.0014775395,0.000010046314,0.9734694,0.0043572425,0.00028006325],"about_ca_topic_score_codex":0.00026087914,"about_ca_topic_score_gemma":0.00017988795,"teacher_disagreement_score":0.14320642,"about_ca_system_score_codex":0.0008088725,"about_ca_system_score_gemma":0.00020167643,"threshold_uncertainty_score":0.5652084},"labels":[],"label_agreement":null},{"id":"W3164264256","doi":"10.1186/s12651-021-00292-2","title":"Short-term earnings mobility in the Canadian and German context: the role of cognitive skills","year":2021,"lang":"en","type":"article","venue":"Journal for Labour Market Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Leibniz-Gemeinschaft; Social Sciences and Humanities Research Council of Canada; GESIS - Leibniz-Institut für Sozialwissenschaften","keywords":"Human capital; Earnings; Context (archaeology); Economics; Social mobility; German; Labour economics; Cognition; Cognitive skill; Demographic economics; Psychology; Accounting; Economic growth; Political science","score_opus":0.03867325876966135,"score_gpt":0.3342744544850013,"score_spread":0.29560119571533994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164264256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98431224,0.0018512267,0.000015201886,0.0030272778,0.000111277055,0.00040342083,0.0005541775,0.0000017900194,0.0097233765],"genre_scores_gemma":[0.9976139,0.00068853743,0.000020646215,0.00021045488,0.00009579132,0.000041706273,0.000009798547,0.0000142291565,0.001304935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792916,0.0005145351,0.0005876827,0.00027040343,0.00016689277,0.00053133286],"domain_scores_gemma":[0.9966819,0.0021167854,0.00015621974,0.00027879665,0.0006062743,0.00015997027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016673183,0.00010878683,0.00030326456,0.00023935531,0.000603878,0.00036123718,0.0003895608,0.0001071654,0.00033373904],"category_scores_gemma":[0.0033224826,0.00007797078,0.000112243346,0.0004970676,0.0002388536,0.00015128944,0.00009821938,0.00091606576,0.000003391031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109619206,0.00019412332,0.8216604,0.00005470267,0.00008035422,0.000049973747,0.0031569623,9.87412e-7,0.00001773312,0.1622867,0.00031603704,0.012072406],"study_design_scores_gemma":[0.00037841237,0.00005921058,0.81184286,0.000046999747,0.000003998833,0.000042229465,0.0019105935,0.00031334622,0.000024305746,0.1576085,0.027674517,0.00009504798],"about_ca_topic_score_codex":0.0148719335,"about_ca_topic_score_gemma":0.1223064,"teacher_disagreement_score":0.10743447,"about_ca_system_score_codex":0.00018767234,"about_ca_system_score_gemma":0.00030904645,"threshold_uncertainty_score":0.99168813},"labels":[],"label_agreement":null},{"id":"W3172254643","doi":"10.2139/ssrn.3529671","title":"Signaling and Employer Learning with Instruments","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Psychology","score_opus":0.007621427415075009,"score_gpt":0.19079798770273654,"score_spread":0.18317656028766152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172254643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924975,0.0010200734,0.0024750438,0.0002011007,0.000104320374,0.00007506439,0.0000033420372,0.000014872701,0.0036086563],"genre_scores_gemma":[0.99632764,0.001261419,0.00012764499,0.0000738051,0.00006066637,0.0000015976598,0.0000024330882,0.000023161676,0.0021216548],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984088,0.000023676177,0.000297509,0.00022162046,0.00004595281,0.0010024697],"domain_scores_gemma":[0.9995352,0.000022385177,0.0002523903,0.00010468175,0.000026904849,0.000058444868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016790121,0.000114266346,0.00022402222,0.00010360811,0.00012503349,0.00010485389,0.00011627594,0.000051685955,0.00009533425],"category_scores_gemma":[0.00002748391,0.00010456765,0.000042053434,0.00011804356,0.000019672889,0.00023056664,0.000031860083,0.001043685,0.000067773406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002654177,0.000013238274,0.52032375,0.000005000821,0.00007808611,8.2991255e-7,0.00006714274,0.00007255546,0.000022461065,0.47728044,5.410239e-7,0.002109438],"study_design_scores_gemma":[0.0017732386,0.00068789657,0.028021786,0.00003191031,0.000011391492,0.00017555719,0.0006736215,0.0013535025,0.00001572809,0.9631912,0.0036668668,0.00039729063],"about_ca_topic_score_codex":0.000081728846,"about_ca_topic_score_gemma":0.000067080604,"teacher_disagreement_score":0.49230194,"about_ca_system_score_codex":0.0002763803,"about_ca_system_score_gemma":0.00014843995,"threshold_uncertainty_score":0.453435},"labels":[],"label_agreement":null},{"id":"W3174224880","doi":"10.2139/ssrn.3870204","title":"Differences in On-the-Job Learning Across Firms","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Labour economics; Psychology; Economics","score_opus":0.02231122758999135,"score_gpt":0.2367931892128315,"score_spread":0.21448196162284014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174224880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98787075,0.002754425,0.0011381138,0.0032524974,0.00025288804,0.00004215976,0.0000128448655,0.000010296023,0.004666009],"genre_scores_gemma":[0.9906185,0.005049529,0.000012232032,0.00024391578,0.00012799072,0.0000047098456,0.000002662113,0.000015427257,0.003925016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976496,0.00008893443,0.00047126654,0.00025520663,0.000058510843,0.0014764493],"domain_scores_gemma":[0.99933875,0.00016240787,0.00023149839,0.00018505575,0.00003702032,0.00004527239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035243696,0.00012537146,0.00027367892,0.00006001765,0.00025859353,0.00016938307,0.00027192247,0.000074336356,0.00017624671],"category_scores_gemma":[0.00045696585,0.00010475421,0.00011735051,0.00030726264,0.00003572233,0.0001068545,0.000058022044,0.0020944946,0.00008730507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001047292,0.000038638816,0.27143365,0.0000021662959,0.00003845583,0.000009399963,0.00021295651,0.000032660137,0.0000044791173,0.72669095,0.0000064212386,0.0015197698],"study_design_scores_gemma":[0.0004165499,0.00009557402,0.091743454,0.000017441198,0.0000017138707,0.000050426035,0.0013247987,0.0007477315,0.00000985222,0.90284663,0.0025609266,0.00018491008],"about_ca_topic_score_codex":0.00015272126,"about_ca_topic_score_gemma":0.002092479,"teacher_disagreement_score":0.1796902,"about_ca_system_score_codex":0.00049832213,"about_ca_system_score_gemma":0.00028391177,"threshold_uncertainty_score":0.90996534},"labels":[],"label_agreement":null},{"id":"W3174530213","doi":"10.1002/jae.2877","title":"Dynamic treatment effects of job training","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Relevance (law); Economics; Discrete choice; Econometrics; Training (meteorology); Continuation; Computer science; Accounting","score_opus":0.031408534353750635,"score_gpt":0.22733930934581686,"score_spread":0.19593077499206624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174530213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619614,0.0037059314,0.005425387,0.00015928828,0.0008941266,0.00012212813,0.00008883153,0.000008139002,0.02763478],"genre_scores_gemma":[0.9922251,0.002242904,0.0050748615,0.0001025335,0.000084937805,0.000004928782,0.0000072108337,0.000028123897,0.00022940802],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785626,0.000015638961,0.0015116457,0.00027352112,0.000064565196,0.0002783993],"domain_scores_gemma":[0.99739146,0.00043249744,0.0015786112,0.00032462497,0.00012373795,0.00014907277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292235,0.00019090867,0.0010168467,0.00086392637,0.00004843611,0.000058420137,0.00023839972,0.00012651335,0.00016818049],"category_scores_gemma":[0.00035072496,0.00019959701,0.00035029466,0.0011193976,0.00004290579,0.00015429627,0.00004926668,0.00018074861,0.000024929834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017130983,0.0012008059,0.035483565,0.0004954364,0.0014080239,0.0002167017,0.0028013024,0.001926044,0.00081069313,0.87895113,0.0000967254,0.07643827],"study_design_scores_gemma":[0.012343392,0.0018327509,0.18863274,0.00015528519,0.00028045205,0.00018518779,0.0016128136,0.0062373094,0.0055761933,0.7337451,0.04775298,0.0016458123],"about_ca_topic_score_codex":0.000010606824,"about_ca_topic_score_gemma":0.000008807348,"teacher_disagreement_score":0.15314917,"about_ca_system_score_codex":0.00038892415,"about_ca_system_score_gemma":0.00013101044,"threshold_uncertainty_score":0.81393296},"labels":[],"label_agreement":null},{"id":"W3174585847","doi":"","title":"The Changing Composition of Academic Majors and Wage Dynamics","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Wage; Distribution (mathematics); Economics; Variance (accounting); Demographic economics; Inequality; Labour economics; Higher education; Economic growth","score_opus":0.03240915358758576,"score_gpt":0.28028002344808045,"score_spread":0.2478708698604947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174585847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742788,0.00045476248,0.00005874865,0.0030606762,0.000110368586,0.0002637291,0.00017144831,0.000014498952,0.021586962],"genre_scores_gemma":[0.9902553,0.009140221,0.0001146221,0.00018131036,0.00006998567,0.00002137603,0.000019815272,0.000025482734,0.00017187813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982481,0.00007653897,0.00072321715,0.00040948647,0.00005282074,0.00048982055],"domain_scores_gemma":[0.99884933,0.0004421254,0.00024533388,0.00029439083,0.00003693686,0.0001318876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024781418,0.00012760478,0.00033773444,0.00020604892,0.00021217094,0.000065418455,0.00035638726,0.0001398388,0.000018797502],"category_scores_gemma":[0.00032957116,0.00012854708,0.00006924674,0.00029553816,0.00026132105,0.00014283102,0.00027716573,0.0005808852,0.0000068792124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013571765,0.00004314216,0.11280453,0.00009591317,0.00006270764,0.000008668485,0.0013512512,0.0003623598,0.00011481097,0.8097852,0.000008432675,0.07522725],"study_design_scores_gemma":[0.0025741386,0.00039000582,0.104368426,0.00013439395,0.000010557555,0.000016420656,0.0047371057,0.64800245,0.00021586362,0.2180362,0.02047681,0.00103764],"about_ca_topic_score_codex":0.000046445704,"about_ca_topic_score_gemma":0.000059869664,"teacher_disagreement_score":0.64764005,"about_ca_system_score_codex":0.00023453077,"about_ca_system_score_gemma":0.000032914708,"threshold_uncertainty_score":0.5241998},"labels":[],"label_agreement":null},{"id":"W3174976924","doi":"10.20955/wp.2019.022","title":"Labor Market Responses to Unemployment Insurance: The Role of Heterogeneity","year":2019,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"University of Minnesota","keywords":"Unemployment; Economics; Labour economics; Business; Macroeconomics","score_opus":0.038076042648324954,"score_gpt":0.2763746748576402,"score_spread":0.23829863220931527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174976924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6505467,0.0058651203,0.00008998848,0.0007808359,0.0016987433,0.0009045312,0.010271097,0.000038833197,0.32980412],"genre_scores_gemma":[0.9478556,0.0033015374,0.00018919923,0.00048710735,0.00019863364,0.00008240259,0.00005530419,0.00007232736,0.0477579],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970319,0.00010698209,0.0014951914,0.0007260535,0.00023227,0.0004075902],"domain_scores_gemma":[0.9966376,0.00032634422,0.0010283068,0.0015406276,0.00035677393,0.000110378896],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0044154823,0.00036936905,0.0011027551,0.00026792244,0.00007423562,0.00008139606,0.00075868156,0.00032671678,0.0010969688],"category_scores_gemma":[0.0008657403,0.000293935,0.00035174232,0.0004290845,0.00006341028,0.00007069229,0.00035231092,0.00031574,0.00021362661],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021399456,0.00015625264,0.93957317,0.00022970107,0.00033290614,0.0000033650615,0.00010378354,0.000028798002,0.000012961323,0.047738235,0.009031229,0.0025756308],"study_design_scores_gemma":[0.00017937685,0.0000865725,0.3107931,0.000054507505,0.000012045678,0.0000034321922,0.00003020536,0.00011647727,0.00009759968,0.011707639,0.6765252,0.00039386883],"about_ca_topic_score_codex":0.0028590984,"about_ca_topic_score_gemma":0.00034419226,"teacher_disagreement_score":0.66749394,"about_ca_system_score_codex":0.00031681365,"about_ca_system_score_gemma":0.0003523132,"threshold_uncertainty_score":0.9999513},"labels":[],"label_agreement":null},{"id":"W3175360851","doi":"10.5539/ibr.v14n7p69","title":"Public Policy and Youth Employment: An Empirical Study of Cameroon&amp;#39;s Experience","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Government (linguistics); Incentive; Professionalization; Business; State (computer science); Public economics; Marketing; Economics; Political science","score_opus":0.28666207521127884,"score_gpt":0.42521490248297183,"score_spread":0.138552827271693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175360851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895258,0.00017748645,0.00044976207,0.0025809354,0.00021463349,0.00013581822,0.00028827562,0.000012760723,0.006614549],"genre_scores_gemma":[0.9984196,0.00017890614,0.00012595583,0.00009958981,0.00017870728,0.000026743523,0.00009174429,0.000016683667,0.000862094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982835,0.00012154971,0.00052350224,0.00049512123,0.00028410574,0.000292187],"domain_scores_gemma":[0.99798506,0.00012515468,0.00012656544,0.0004200885,0.0012208859,0.00012224265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011634952,0.00010428063,0.00024923033,0.0005429836,0.00011903072,0.00026553302,0.00043677082,0.00006287067,0.0003480678],"category_scores_gemma":[0.0020847726,0.000112479975,0.00003084276,0.0011683761,0.00015185587,0.00040934072,0.0004491924,0.00019216903,0.000021196378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039927065,0.0013642418,0.9133942,0.000013810774,0.00006442947,0.000013567986,0.006029857,0.000015755404,0.00008268269,0.07777105,0.000019358527,0.0011911006],"study_design_scores_gemma":[0.0007105897,0.00006722294,0.96714264,0.000011644165,0.0000014693159,0.0000062379368,0.0023687386,0.0002806263,0.000015929128,0.023852473,0.0053842524,0.00015815522],"about_ca_topic_score_codex":0.006376096,"about_ca_topic_score_gemma":0.0008583192,"teacher_disagreement_score":0.05391858,"about_ca_system_score_codex":0.00015497042,"about_ca_system_score_gemma":0.00016510981,"threshold_uncertainty_score":0.9638792},"labels":[],"label_agreement":null},{"id":"W3179876201","doi":"10.21272/bel.5(2).59-65.2021","title":"Pre-Tax Wage and Salary Income Inequalities in Largest Metropolitan Areas in the United States","year":2021,"lang":"en","type":"article","venue":"Business Ethics and Leadership","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Gini coefficient; Percentile; Wages and salaries; Salary; Geography; Quarter (Canadian coin); Quartile; Economics; Inequality; Demography; Demographic economics; Economic inequality; Labour economics; Statistics; Mathematics; Sociology; Archaeology","score_opus":0.17197458085192763,"score_gpt":0.2869812880531771,"score_spread":0.11500670720124945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179876201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647179,0.007606255,0.000216972,0.026121343,0.00012074043,0.00013937191,0.00023295417,0.000015417392,0.00082904304],"genre_scores_gemma":[0.99230474,0.0030142816,0.00009196119,0.0040205577,0.0000534956,0.000019226594,0.00018989161,0.000022246286,0.00028360798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980785,0.0004367322,0.0005991087,0.00041448895,0.00008850744,0.00038266188],"domain_scores_gemma":[0.9980518,0.0012788221,0.00016369652,0.00032562125,0.00012127022,0.000058748665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045607146,0.00019932972,0.00041193256,0.00036131308,0.00014062124,0.00024223984,0.00018174027,0.0002722666,0.000036877955],"category_scores_gemma":[0.0017874837,0.00018050095,0.000033822365,0.0012014481,0.00022178913,0.0002025788,0.00009914949,0.00094387634,0.000003213403],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021681348,0.000081427985,0.48537958,0.00038449166,0.000014639695,0.00005422101,0.006472095,0.000032113956,0.0000018721126,0.5074736,0.000016475353,0.000067790956],"study_design_scores_gemma":[0.0006431874,0.000016425458,0.7991736,0.00011233058,0.0000050589124,0.00001003018,0.012649477,0.0012084846,0.0000031549528,0.18292497,0.0029802162,0.0002730842],"about_ca_topic_score_codex":0.01097354,"about_ca_topic_score_gemma":0.00761838,"teacher_disagreement_score":0.32454863,"about_ca_system_score_codex":0.00008438256,"about_ca_system_score_gemma":0.00006663011,"threshold_uncertainty_score":0.9956125},"labels":[],"label_agreement":null},{"id":"W3180594041","doi":"","title":"Manufacturing Jobs and Inequality: Why is the U.S. Experience Different?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Economics; Labour economics; Distribution (mathematics); Wage; Wage inequality; Economic inequality; Income distribution; Quarter (Canadian coin); Manufacturing sector; Income inequality metrics; Demographic economics","score_opus":0.01394426788971744,"score_gpt":0.21807901235412572,"score_spread":0.20413474446440827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180594041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98957986,0.002985843,0.0022766464,0.0030625786,0.0003467949,0.00013038375,0.000019748844,0.000013883988,0.0015842926],"genre_scores_gemma":[0.9922295,0.005152509,0.000013892032,0.001216318,0.00011624524,0.000005635602,0.000001817007,0.000019890529,0.001244145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978692,0.000044072487,0.000485798,0.00030887933,0.0000720415,0.0012200093],"domain_scores_gemma":[0.9991859,0.00007447872,0.00031252956,0.0003372453,0.000020322117,0.00006947499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017496266,0.00017017264,0.0002964993,0.00008065601,0.00020903336,0.00019421085,0.00035093498,0.00007236983,0.0002373155],"category_scores_gemma":[0.000042255986,0.00012627529,0.00010830659,0.00008428077,0.000049200793,0.00025086713,0.00010347692,0.0010202222,0.00006142003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019884452,0.000026796062,0.22968839,0.000010549034,0.00008147567,8.554131e-7,0.00087663747,0.0000031813138,0.000018512179,0.7663986,0.000026660595,0.0028484212],"study_design_scores_gemma":[0.0005049902,0.00008874574,0.061024476,0.000010497952,0.0000058198593,0.000055768014,0.0010610276,0.0003998709,0.00007903197,0.9258091,0.010715465,0.00024523173],"about_ca_topic_score_codex":0.00031964574,"about_ca_topic_score_gemma":0.00028069064,"teacher_disagreement_score":0.16866392,"about_ca_system_score_codex":0.000306238,"about_ca_system_score_gemma":0.00006767483,"threshold_uncertainty_score":0.51493573},"labels":[],"label_agreement":null},{"id":"W3180662583","doi":"","title":"Risk-Averse Managers, Labour Market Structures, Public Policies and Discrimination","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Labour economics; Productivity; Wage; Equity (law); Economics; Variance (accounting); Statistical discrimination; Inequality; Macroeconomics","score_opus":0.011378058938856569,"score_gpt":0.21103685730805272,"score_spread":0.19965879836919614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180662583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676381,0.0030508363,0.016855868,0.005769954,0.00032148726,0.00010980495,0.00025593306,0.000031212632,0.00596681],"genre_scores_gemma":[0.96105033,0.03286862,0.00010635718,0.0001253635,0.00018464332,0.0000030631613,0.00000363939,0.000024313555,0.0056336727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977598,0.000078407014,0.000445981,0.00028661606,0.000067241715,0.0013619501],"domain_scores_gemma":[0.99904037,0.000074384145,0.00049084733,0.00022588795,0.000055588305,0.000112918504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943021,0.0001674864,0.00024933706,0.00026366836,0.00025571292,0.0001858174,0.00024481423,0.00009419639,0.00027466626],"category_scores_gemma":[0.00037892783,0.00012954364,0.00008947905,0.00017295523,0.00007594774,0.00050877535,0.00007346832,0.0005751167,0.000022861655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002004409,0.000017689572,0.079820246,0.000006998612,0.00009447452,0.0000014860129,0.000065877604,4.3457214e-7,0.0000071774325,0.90158737,0.000103947896,0.018274257],"study_design_scores_gemma":[0.0006322569,0.000060803064,0.1308358,0.0000068241748,0.000009338616,0.000048886435,0.00028685725,0.000070152164,0.0000020227117,0.8550782,0.012780127,0.00018870765],"about_ca_topic_score_codex":0.000584404,"about_ca_topic_score_gemma":0.0017484425,"teacher_disagreement_score":0.051015552,"about_ca_system_score_codex":0.00067207584,"about_ca_system_score_gemma":0.00015757885,"threshold_uncertainty_score":0.5282636},"labels":[],"label_agreement":null},{"id":"W3181488647","doi":"","title":"The Unexpected Consequences of Job Search Monitoring: Disability Instead of Employment?","year":2019,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institut National d'assurance Maladie-Invalidité","keywords":"Spillover effect; Quarter (Canadian coin); Social security; Unemployment; Demographic economics; Work (physics); Labour economics; Business; Economics; Economic growth; Geography; Engineering","score_opus":0.03127791120098063,"score_gpt":0.258904618267047,"score_spread":0.22762670706606639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181488647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97403765,0.0016682813,0.000029535708,0.00039566218,0.0020148302,0.00050253404,0.0004953802,0.00003961346,0.020816492],"genre_scores_gemma":[0.9984187,0.0003086823,0.00019507717,0.000021188544,0.00009426586,0.000026472238,0.000008389547,0.000028844683,0.00089840253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996987,0.00014505423,0.0016288984,0.0006048682,0.00013974113,0.00049447105],"domain_scores_gemma":[0.99689513,0.00082522444,0.0008600355,0.0011098698,0.00017373521,0.00013600192],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021329545,0.00027633613,0.00086215336,0.0001398097,0.00017155724,0.00006558333,0.00070958183,0.00018129864,0.0006398238],"category_scores_gemma":[0.00036474518,0.00025097677,0.00030300167,0.0004054813,0.0014220204,0.00027123938,0.00018075075,0.00031443752,0.00015392329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005149246,0.00012135023,0.8526742,0.00007021433,0.000122724,0.0000010067112,0.00026412634,0.000019788418,0.0005051123,0.14586364,0.000031326585,0.00027504048],"study_design_scores_gemma":[0.0008742804,0.00017362447,0.9758259,0.0000611468,0.000012657763,0.000005185789,0.00062282966,0.00018065583,0.0025338584,0.017291252,0.0020343673,0.0003842555],"about_ca_topic_score_codex":0.0014299062,"about_ca_topic_score_gemma":0.00015923522,"teacher_disagreement_score":0.12857239,"about_ca_system_score_codex":0.00029239812,"about_ca_system_score_gemma":0.00018471804,"threshold_uncertainty_score":0.9999942},"labels":[],"label_agreement":null},{"id":"W3185010331","doi":"10.1002/jee.20408","title":"Gender differences in job searches by new engineering graduates in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Salary; Bachelor; Context (archaeology); Job market; Psychology; Work (physics); Political science; Engineering; Geography; Law","score_opus":0.030264304145827207,"score_gpt":0.21446092074899767,"score_spread":0.18419661660317047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185010331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334687,0.0034956452,0.0015301312,0.00063328043,0.00082190585,0.000025460226,0.00000923808,0.0000023033901,0.00013515477],"genre_scores_gemma":[0.99825364,0.00033082327,0.0011542356,0.000033600358,0.0000941111,0.0000016107373,0.00000387121,0.000009778287,0.00011833094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921966,0.00000787024,0.00048074394,0.00009776846,0.000046672423,0.00014729086],"domain_scores_gemma":[0.9996061,0.0000733803,0.00012614098,0.00008024746,0.000039366965,0.0000747981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213127,0.000076649456,0.00022210146,0.00018296242,0.000006450503,0.0000347553,0.00009789714,0.000030289115,0.000029822488],"category_scores_gemma":[0.00032793227,0.00008786668,0.000030552947,0.00028261455,0.000001884904,0.0001371228,0.000012645933,0.00019966075,7.782212e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004209483,0.00008620281,0.96496344,0.000118663294,0.000033254368,0.000015329559,0.00043335016,0.010846979,0.000450342,0.021255502,0.0008127486,0.0009799555],"study_design_scores_gemma":[0.00023773083,0.0000087233375,0.9797131,0.00008768034,0.0000020216057,0.000011602723,0.00015140987,0.013981553,0.0001603261,0.003484262,0.0020000478,0.0001615876],"about_ca_topic_score_codex":0.13902098,"about_ca_topic_score_gemma":0.0444094,"teacher_disagreement_score":0.094611585,"about_ca_system_score_codex":0.0005700825,"about_ca_system_score_gemma":0.00090363936,"threshold_uncertainty_score":0.97302765},"labels":[],"label_agreement":null},{"id":"W3185656073","doi":"10.1111/cars.12346","title":"How wide is the gap? Examining gender income disparities among private career college graduates","year":2021,"lang":"en","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Demographic economics; Gender gap; Psychology; Sociology; Economics","score_opus":0.10482491801367029,"score_gpt":0.23848018823350628,"score_spread":0.13365527021983598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185656073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88427013,0.082081616,0.00006335533,0.02680028,0.0005935538,0.00041626734,0.0033379379,0.000025560767,0.0024113262],"genre_scores_gemma":[0.9638526,0.023220137,0.0002602697,0.011365864,0.00013420898,0.00011960607,0.00019357858,0.00004352756,0.0008102468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967613,0.00033384276,0.0008825335,0.0006796495,0.000032798853,0.0013098532],"domain_scores_gemma":[0.9969196,0.00076070655,0.0006273262,0.00088504545,0.00026792844,0.0005393972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028839577,0.00034624894,0.0011805997,0.0001381692,0.00038502517,0.000047814938,0.0007672094,0.00043483428,0.00022504175],"category_scores_gemma":[0.0040431097,0.00033062446,0.00035616735,0.00035927157,0.00114053,0.00014959469,0.00013784948,0.0006166183,0.000017115071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010231203,0.000006381181,0.6360975,0.0012689276,0.00017394831,0.00007974721,0.0016379268,0.0000021393023,0.0000028617894,0.35799947,0.0026267334,0.00010337131],"study_design_scores_gemma":[0.00021437038,0.000037434686,0.6817503,0.00059848157,0.00006210994,0.000018793582,0.0034328927,0.000073454285,0.0000049284668,0.2947823,0.018532356,0.00049259077],"about_ca_topic_score_codex":0.01795206,"about_ca_topic_score_gemma":0.12886505,"teacher_disagreement_score":0.11091299,"about_ca_system_score_codex":0.0014246862,"about_ca_system_score_gemma":0.00069365505,"threshold_uncertainty_score":0.9999146},"labels":[],"label_agreement":null},{"id":"W3186410873","doi":"10.2139/ssrn.3121989","title":"Le travail temps partiel en France: Une tude des volutions rrcentes basse sur les flux (The Dynamics of Part-time Employment in France: An Examination Based on Worker Flows)","year":2017,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.013543325312708512,"score_gpt":0.2270650040767798,"score_spread":0.21352167876407127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186410873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96667516,0.0101438565,0.013977373,0.0071326825,0.00068668317,0.00033997788,0.00033863113,0.000013972211,0.0006916366],"genre_scores_gemma":[0.9783744,0.009671232,0.00014101449,0.000081362756,0.00026018271,0.00003073725,0.00006333571,0.00005748901,0.011320232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99573463,0.00046494525,0.0012559156,0.0005024738,0.00019778918,0.0018442705],"domain_scores_gemma":[0.99735373,0.00026118205,0.001214524,0.00085190724,0.00019544088,0.00012322025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007765994,0.00035398814,0.0006402671,0.00024614786,0.0009341614,0.00027196103,0.0008886132,0.00029863758,0.00016829291],"category_scores_gemma":[0.0004966838,0.00036889603,0.000267546,0.0003213112,0.00039153264,0.00068902853,0.00006631626,0.0017878345,0.000026626114],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010351948,0.0019499708,0.3551182,0.00008084925,0.00029316946,0.0000069741127,0.0008688233,0.014762054,0.000039630293,0.4789201,0.000040302093,0.1478164],"study_design_scores_gemma":[0.002009371,0.00052419695,0.53934073,0.0003073317,0.000043821932,0.000009890045,0.00067228195,0.35496765,0.000014643204,0.09735962,0.004312866,0.000437611],"about_ca_topic_score_codex":0.0047248737,"about_ca_topic_score_gemma":0.049838237,"teacher_disagreement_score":0.38156047,"about_ca_system_score_codex":0.0015138077,"about_ca_system_score_gemma":0.0009431988,"threshold_uncertainty_score":0.9998763},"labels":[],"label_agreement":null},{"id":"W3186964033","doi":"","title":"Le lien entre les compétences en numératie et les rendements sur le marché du travail au Québec","year":2021,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Numeracy; Microdata (statistics); Wage; Earnings; Demographic economics; Residence; Population; Demography; Psychology; Economics; Labour economics; Sociology; Economic growth; Census","score_opus":0.03087195591083875,"score_gpt":0.23909437172183692,"score_spread":0.20822241581099818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186964033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86470777,0.027581716,0.0021434093,0.020018348,0.0033212395,0.00068439054,0.0006169319,0.00009059396,0.08083559],"genre_scores_gemma":[0.96528286,0.004302294,0.001063783,0.00027995542,0.00036424355,0.00006167333,0.0002556861,0.00007142779,0.028318085],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954265,0.00045702534,0.0019293551,0.0012741672,0.00016842621,0.0007445777],"domain_scores_gemma":[0.99714375,0.00029840332,0.0012603719,0.00089921465,0.00025379824,0.00014446206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002915282,0.00044817326,0.0009724442,0.0001986748,0.00055203546,0.00036174414,0.0003243961,0.00041512385,0.0005047812],"category_scores_gemma":[0.0008913386,0.0005184538,0.0004025609,0.00051166175,0.0002912651,0.00048665283,0.0002996151,0.00051865896,0.000027172111],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052570922,0.001181926,0.8766081,0.00054407783,0.0004021705,0.0016760802,0.0041210656,0.00012852746,0.00003616117,0.08072023,0.0033606808,0.031168459],"study_design_scores_gemma":[0.0012888694,0.00021975658,0.2746983,0.00036329142,0.00006835422,0.00053849735,0.0032535773,0.0014937901,0.00027526045,0.014122909,0.70242614,0.0012512439],"about_ca_topic_score_codex":0.4943759,"about_ca_topic_score_gemma":0.32630438,"teacher_disagreement_score":0.69906545,"about_ca_system_score_codex":0.0004747875,"about_ca_system_score_gemma":0.005190294,"threshold_uncertainty_score":0.9997267},"labels":[],"label_agreement":null},{"id":"W3187474016","doi":"","title":"The effect of minimum wage increase on employment : panel data evidence from Canadian provinces","year":2020,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Panel data; Labour economics; Economics; Demographic economics; Econometrics","score_opus":0.03006605230864311,"score_gpt":0.1961040234076849,"score_spread":0.16603797109904178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187474016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641737,0.00030975128,0.0005697951,0.0035174827,0.000589139,0.0005933258,0.0027832026,0.000068895635,0.027394762],"genre_scores_gemma":[0.99705964,0.00030948152,0.00014009335,0.00019503936,0.00014342509,5.3626144e-7,0.00029131095,0.000015699185,0.0018447454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746394,0.0003613867,0.0004744127,0.0009965228,0.0002415098,0.0004622372],"domain_scores_gemma":[0.99694127,0.0008177353,0.0004887294,0.0010629734,0.000121959616,0.00056735886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008513405,0.00034732828,0.0005355889,0.0003875624,0.0012400548,0.00009863693,0.002023965,0.00019145639,0.00007964131],"category_scores_gemma":[0.000584908,0.0003566454,0.00022263791,0.0006872984,0.0005686001,0.00078984024,0.0008883253,0.00041634115,0.000069083246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005189295,0.00028233352,0.3690225,0.00019446036,0.001037665,0.0039598485,0.0005769089,0.0022950384,0.00026650992,0.61148614,0.002320766,0.0033685826],"study_design_scores_gemma":[0.0030432655,0.0015231447,0.117599115,0.00037898016,0.00027450107,0.000018010556,0.0006510805,0.011745587,0.00029696355,0.0013103811,0.86184555,0.0013134361],"about_ca_topic_score_codex":0.28395543,"about_ca_topic_score_gemma":0.019890763,"teacher_disagreement_score":0.8595248,"about_ca_system_score_codex":0.0030538838,"about_ca_system_score_gemma":0.00080060237,"threshold_uncertainty_score":0.99988854},"labels":[],"label_agreement":null},{"id":"W3192623090","doi":"10.3386/w28917","title":"It Ain’t Where You’re From, It’s Where You’re At: Hiring Origins, Firm Heterogeneity, and Wages.","year":2021,"lang":"ru","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ain't; Economics; Labour economics; Monetary economics; Demographic economics; Econometrics; Philosophy","score_opus":0.25324490703289454,"score_gpt":0.43077674331124016,"score_spread":0.17753183627834562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192623090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4610316,0.08529273,0.000032299922,0.021372307,0.003946965,0.0018766614,0.020219795,0.00005388537,0.4061738],"genre_scores_gemma":[0.8247298,0.1288708,0.00036905633,0.00030063902,0.0023551239,0.00019223835,0.004592651,0.000260594,0.038329095],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9897531,0.00043896836,0.003964233,0.0031519781,0.0011206284,0.0015710491],"domain_scores_gemma":[0.99151677,0.0020974032,0.0021925843,0.0016929172,0.0018493703,0.0006509598],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011329273,0.0010418403,0.002724247,0.0013992739,0.0008001561,0.0008269525,0.0016194169,0.0017535124,0.010095316],"category_scores_gemma":[0.001552285,0.0013234167,0.0008579998,0.0005906724,0.0007016918,0.0007054642,0.0022663071,0.0022900251,0.0006787983],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005083838,0.0010369918,0.5008888,0.0045176507,0.0047645187,0.0003321773,0.0012609506,0.0019593062,0.00008420716,0.31169206,0.16775808,0.005196868],"study_design_scores_gemma":[0.0025764422,0.00023695684,0.020281715,0.0011710422,0.00009323858,0.000047809724,0.0006376974,0.0074469005,0.000074044285,0.12958403,0.835887,0.0019631155],"about_ca_topic_score_codex":0.018058654,"about_ca_topic_score_gemma":0.038637426,"teacher_disagreement_score":0.6681289,"about_ca_system_score_codex":0.008900362,"about_ca_system_score_gemma":0.0029910728,"threshold_uncertainty_score":0.9995424},"labels":[],"label_agreement":null},{"id":"W3192896127","doi":"10.1086/732357","title":"Differences in On-the-Job Learning across Firms","year":2024,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Seniority; Categorization; Earnings; Distribution (mathematics); Wage; Demographic economics; Business; Cluster analysis; Interpretation (philosophy); Labour economics; Economics; Political science; Accounting; Computer science; Machine learning; Artificial intelligence","score_opus":0.0348438511878554,"score_gpt":0.25228739823357943,"score_spread":0.21744354704572402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192896127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989124,0.001756062,0.00011858155,0.004431699,0.0013259283,0.000061584215,0.00013430379,0.000011372127,0.0030364702],"genre_scores_gemma":[0.99643636,0.0021308328,0.00008012774,0.00037244507,0.00028933043,0.000003284321,0.0000013084544,0.000023965516,0.000662342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983611,0.000039525636,0.0010681959,0.0002221546,0.000030315156,0.00027869007],"domain_scores_gemma":[0.9987757,0.00046802094,0.00046699683,0.00018252086,0.000037707956,0.000069055954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002399499,0.00014878326,0.0004593128,0.00019159974,0.000077647135,0.00034571605,0.00036825103,0.00009623649,0.00020745347],"category_scores_gemma":[0.0002934769,0.000118897864,0.00017626057,0.000247282,0.00005570152,0.0002950374,0.000053619162,0.0006275547,0.00011048799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038200928,0.00004798308,0.27196378,0.000028850918,0.000091548376,0.000036950853,0.0011021552,0.0006978428,0.000003625332,0.7241082,0.00011445539,0.0017663891],"study_design_scores_gemma":[0.0009302762,0.00041189525,0.33868054,0.00025794414,0.000011663921,0.000048043537,0.0009710903,0.023688825,0.0000395063,0.517363,0.116980225,0.0006170026],"about_ca_topic_score_codex":0.00006340455,"about_ca_topic_score_gemma":0.00010941767,"teacher_disagreement_score":0.20674522,"about_ca_system_score_codex":0.00020880875,"about_ca_system_score_gemma":0.000056381097,"threshold_uncertainty_score":0.48485142},"labels":[],"label_agreement":null},{"id":"W3194195654","doi":"10.2478/admin-2021-0020","title":"The gender pay gap in Revenue","year":2021,"lang":"en","type":"article","venue":"Administration","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gender pay gap; Gender gap; Quarter (Canadian coin); Revenue; Civil service; Demographic economics; Scale (ratio); Labour economics; Work (physics); Economics; Point (geometry); Public service; Wage; Political science; Finance; Public administration; Geography","score_opus":0.05536990234578531,"score_gpt":0.266685081317859,"score_spread":0.2113151789720737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194195654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92979646,0.0011203878,0.001586305,0.007021974,0.00076459005,0.0001311822,0.00018656532,0.000014735924,0.05937783],"genre_scores_gemma":[0.9969419,0.0002348168,0.0001424403,0.0002041139,0.000064686516,0.000011455054,0.000032657008,0.000005870218,0.0023620422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934953,0.000027370188,0.00031519294,0.00016691865,0.000021809275,0.000119163],"domain_scores_gemma":[0.9995672,0.00006264362,0.00010428151,0.00021958779,0.000023340353,0.000022946966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006038436,0.000049922324,0.00009043407,0.00001860401,0.00007321923,0.00008612532,0.00007132823,0.00004473486,0.00007026244],"category_scores_gemma":[0.00021335615,0.000041708387,0.000033940018,0.00014805932,0.00001658488,0.00007768102,0.000016549202,0.00008941943,0.000060667135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071579975,0.00003767079,0.05640997,0.0000068354097,0.000006606157,0.000016968841,0.00008729395,0.0000044563562,0.000020945787,0.9420264,0.00022767557,0.0011480183],"study_design_scores_gemma":[0.00022506589,0.00002052336,0.25558847,0.0000046371924,0.0000014656049,0.000006012596,0.00007259012,0.00075971277,0.00012756583,0.6543246,0.08874504,0.0001243144],"about_ca_topic_score_codex":0.0000395059,"about_ca_topic_score_gemma":0.00089900155,"teacher_disagreement_score":0.28770182,"about_ca_system_score_codex":0.00003961227,"about_ca_system_score_gemma":0.000055794102,"threshold_uncertainty_score":0.17008185},"labels":[],"label_agreement":null},{"id":"W3196473550","doi":"10.1007/978-3-030-70873-3_18","title":"Towards Equitable Hiring Practices for Engineering Education Institutions: An Individual-Based Simulation Model","year":2021,"lang":"en","type":"book-chapter","venue":"Transactions on computational science and computational intelligence","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Excellence; Equity (law); Diversity (politics); Representation (politics); Inclusion (mineral); Psychological intervention; Argument (complex analysis); Work (physics); Computer science; Engineering; Psychology; Political science; Medicine; Mechanical engineering; Social psychology","score_opus":0.14862392367382882,"score_gpt":0.34650224334490654,"score_spread":0.19787831967107772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196473550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005058562,0.0003531382,0.9869079,0.0004489256,0.0003789658,0.00044181215,0.00076020794,0.000058004713,0.010145218],"genre_scores_gemma":[0.86290276,0.00004774859,0.13234773,0.0007519929,0.00009178294,0.00009358495,0.00056553225,0.000037746046,0.003161119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776566,0.000009978421,0.00072843005,0.00083825603,0.00037817124,0.0002795211],"domain_scores_gemma":[0.9974013,0.00048718997,0.00065353885,0.00021334732,0.0010768536,0.00016776171],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012484115,0.00028785365,0.00031931794,0.00064629473,0.0007139028,0.00047776755,0.000333989,0.00015817123,0.00011382705],"category_scores_gemma":[0.00022169272,0.00036073462,0.0001086661,0.0003125356,0.00022463151,0.0009498609,0.00001933722,0.00027736693,0.000016073369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009656837,0.00007705246,0.0000014603312,0.000040768547,0.000018084276,2.6227144e-7,0.000054505355,0.51898456,4.8320055e-7,0.46850455,0.000002472258,0.012306184],"study_design_scores_gemma":[0.00007471552,0.000058472422,0.000042572687,0.00007538738,0.000017722185,0.0000022830893,0.00001641685,0.62886995,0.0000051847032,0.36891443,0.0016677344,0.00025512493],"about_ca_topic_score_codex":0.000053988966,"about_ca_topic_score_gemma":0.000015681733,"teacher_disagreement_score":0.8623969,"about_ca_system_score_codex":0.00038606022,"about_ca_system_score_gemma":0.002178809,"threshold_uncertainty_score":0.9998845},"labels":[],"label_agreement":null},{"id":"W3198592635","doi":"10.3390/jrfm14090436","title":"Is Industry Size a Carrier for Wage Inequality? A Panel Study Addressing Independent Variables of Inherently Different Sizes across Units","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monopolistic competition; Economics; Inequality; Wage inequality; Norwegian; Wage; Panel data; Competition (biology); Instrumental variable; Econometrics; Labour economics; Demographic economics; Microeconomics; Monopoly","score_opus":0.0660246995407026,"score_gpt":0.28344407612489764,"score_spread":0.21741937658419502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198592635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865804,0.0012216188,0.009670858,0.000089844754,0.00054361834,0.00034544314,0.001349559,0.0000049811924,0.00019371038],"genre_scores_gemma":[0.9978362,0.0010196458,0.0005780078,0.00013356943,0.00015799385,0.000017833205,0.0000053129593,0.000020132684,0.00023133686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977022,0.00009663625,0.001406104,0.00033283143,0.00015004452,0.00031221734],"domain_scores_gemma":[0.9976681,0.00024920335,0.0013680852,0.00029311067,0.00030710115,0.00011443322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019098416,0.00022175582,0.00083617447,0.0001267903,0.00018075516,0.00014106385,0.00023006261,0.00019306783,0.000055719218],"category_scores_gemma":[0.0008395805,0.0002083813,0.00016974015,0.00038710766,0.00004760843,0.00018486708,0.0002797091,0.0004434867,4.5258065e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004623793,0.0014527066,0.9063757,0.0004622608,0.00047403743,0.000130942,0.00901878,0.00007318371,0.000021286227,0.048598837,0.00016092788,0.03276896],"study_design_scores_gemma":[0.0045521823,0.00039710378,0.91521484,0.00019324361,0.00015301898,0.00000675411,0.0059077404,0.0001322505,0.00008122209,0.066720344,0.0062929783,0.0003483456],"about_ca_topic_score_codex":0.00019161642,"about_ca_topic_score_gemma":0.0001441724,"teacher_disagreement_score":0.032420617,"about_ca_system_score_codex":0.00008244977,"about_ca_system_score_gemma":0.000056077704,"threshold_uncertainty_score":0.8497543},"labels":[],"label_agreement":null},{"id":"W3198977196","doi":"10.1093/rfs/hhab105","title":"Does Career Risk Deter Potential Entrepreneurs?","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Stanford Institute for Economic Policy Research","keywords":"Entrepreneurship; Regression discontinuity design; Human capital; Business; Job creation; Wage; Labour economics; Wage growth; Demographic economics; Economics; Finance; Economic growth","score_opus":0.02765383057101195,"score_gpt":0.25395437947129357,"score_spread":0.22630054890028162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198977196","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26621523,0.7265732,0.0004137565,0.0015067025,0.0017711922,0.00023458533,0.0008509111,0.000021380316,0.0024129793],"genre_scores_gemma":[0.39799005,0.6004349,0.00034310183,0.0006293379,0.00016727624,0.000019940642,0.000012092089,0.000010772458,0.00039256318],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984273,0.000060915285,0.0008483393,0.00038237972,0.00006170388,0.0002194095],"domain_scores_gemma":[0.99870604,0.000069572874,0.0005391399,0.0003921636,0.00025382792,0.000039244922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007608121,0.00015766504,0.0008783637,0.000037529626,0.00009770459,0.000015089784,0.0001510263,0.00005505098,0.00022023504],"category_scores_gemma":[0.0022411332,0.00011627023,0.00031995395,0.00025030473,0.00007260162,0.000079987156,0.00018031924,0.000116133946,0.00004813351],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049144644,0.0004602114,0.51186085,0.021388777,0.000838277,0.00016848512,0.00083608826,0.000013982262,0.00003409688,0.3200934,0.0072889524,0.13696775],"study_design_scores_gemma":[0.00087595196,0.0001239008,0.36145407,0.004722388,0.00024402612,0.000007812992,0.00008587227,0.000041273357,0.00037532556,0.23029138,0.4008635,0.00091447344],"about_ca_topic_score_codex":0.00008216111,"about_ca_topic_score_gemma":0.000106048436,"teacher_disagreement_score":0.39357457,"about_ca_system_score_codex":0.00004836409,"about_ca_system_score_gemma":0.000037067643,"threshold_uncertainty_score":0.47413623},"labels":[],"label_agreement":null},{"id":"W3199121014","doi":"10.2139/ssrn.3918535","title":"High Discounts and Low Fundamental Surplus: An Equivalence Result for Unemployment Fluctuations","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Equivalence (formal languages); Economics; Unemployment; Economic surplus; Monetary economics; Microeconomics; Labour economics; Econometrics; Mathematics; Macroeconomics; Market economy; Welfare","score_opus":0.02083545784331805,"score_gpt":0.2562261735678756,"score_spread":0.23539071572455753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199121014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732966,0.002722403,0.02087395,0.0017020891,0.00047325183,0.00015747851,0.00046272422,0.000013005544,0.00029851575],"genre_scores_gemma":[0.9922426,0.004837137,0.0005493784,0.00017107009,0.00024278475,0.0000160144,0.00008946361,0.00002439581,0.0018271983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978202,0.000039075887,0.0005571428,0.00037192547,0.00006665535,0.0011450236],"domain_scores_gemma":[0.9992086,0.00006567259,0.00027835616,0.00024027846,0.0000968898,0.0001101584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021142222,0.00014718338,0.00027289617,0.000081916936,0.00030663522,0.0002139268,0.00017783201,0.00006691223,0.00007978288],"category_scores_gemma":[0.00015729904,0.00015833924,0.00009205158,0.00015105885,0.000048352016,0.0003828563,0.000055545257,0.0004655,0.00001054534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041395,0.00013387341,0.00864116,0.000014334645,0.00010270574,0.0000032513744,0.0001319166,0.00006342989,0.00011742102,0.98839444,0.000018423138,0.0023376204],"study_design_scores_gemma":[0.0012315455,0.00024301978,0.0076869586,0.00001651824,0.000014918229,0.00009214517,0.00058841443,0.0020318592,0.00004342399,0.9866734,0.0011269654,0.0002507927],"about_ca_topic_score_codex":0.00015824905,"about_ca_topic_score_gemma":0.0010775991,"teacher_disagreement_score":0.020324571,"about_ca_system_score_codex":0.00070589426,"about_ca_system_score_gemma":0.00049770984,"threshold_uncertainty_score":0.6456887},"labels":[],"label_agreement":null},{"id":"W3200423215","doi":"10.33423/jabe.v23i2.4101","title":"Gender and Generation: Job Expectations of Chinese Professionals and Students amid Complexity and Change","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Context (archaeology); Order (exchange); Human resources; Labour economics; Supply and demand; Human resource management; Psychology; Business; Public relations; Demographic economics; Economics; Political science; Management","score_opus":0.08435262786640761,"score_gpt":0.2846302753934471,"score_spread":0.20027764752703947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200423215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950911,0.0032960097,0.00024101634,0.0005336479,0.00019443718,0.000101137,0.00009951729,0.000002023696,0.00044113316],"genre_scores_gemma":[0.992463,0.0056406315,0.0014569547,0.00019508725,0.0002024726,0.0000060649822,0.000011684147,0.000011252143,0.000012885262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990059,0.000010157754,0.0006418422,0.00020786336,0.000029844872,0.00010436883],"domain_scores_gemma":[0.9990753,0.000045510424,0.00056917773,0.00010504604,0.00012331754,0.000081633305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288205,0.00012232295,0.0004711893,0.00010872259,0.00010844291,0.00011662663,0.000061887,0.0000694555,0.00002399848],"category_scores_gemma":[0.000029971037,0.00011694379,0.000027217553,0.000099848665,0.00009076217,0.00030573172,0.0001296782,0.00008961706,3.941435e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008529488,0.00021164544,0.6485969,0.0002570995,0.0001932725,0.000006670258,0.0032428498,0.000032474287,0.00016168338,0.34506416,0.000020615505,0.0021273352],"study_design_scores_gemma":[0.000983866,0.000017163758,0.8833815,0.0000141850605,0.000014050171,0.000038163118,0.00052099954,0.0012689534,0.0000130363205,0.1133902,0.00020632714,0.00015156025],"about_ca_topic_score_codex":0.000015371095,"about_ca_topic_score_gemma":0.000050385373,"teacher_disagreement_score":0.2347846,"about_ca_system_score_codex":0.000020032814,"about_ca_system_score_gemma":0.000026982814,"threshold_uncertainty_score":0.47688293},"labels":[],"label_agreement":null},{"id":"W3202200687","doi":"10.1177/00346446221093053","title":"The forest behind the tree: Heterogeneity in how U.S. Governor’s party affects black workers","year":2022,"lang":"en","type":"article","venue":"The Review of Black Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Earnings; Wage; Economics; Governor; Ceteris paribus; Demographic economics; Distribution (mathematics); Regression discontinuity design; Labour economics; Allegiance; Political science; Politics; Law; Finance","score_opus":0.02462293803446095,"score_gpt":0.24911833472170206,"score_spread":0.2244953966872411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202200687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5353367,0.05890386,0.00013620156,0.22095403,0.00058119587,0.002697117,0.0008403992,0.000033261633,0.18051727],"genre_scores_gemma":[0.9882619,0.0059855096,0.000010370553,0.004918028,0.00011396799,0.00017178882,0.000017439457,0.000027314965,0.0004936989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746895,0.00042187938,0.0008983278,0.00040037493,0.000092435635,0.00071801565],"domain_scores_gemma":[0.9969813,0.001145843,0.0005848616,0.0011293795,0.000029483866,0.00012908349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005013109,0.00024072149,0.00070594315,0.000040267078,0.0003317352,0.00010578205,0.0011111493,0.000053503598,0.00016817871],"category_scores_gemma":[0.00042773146,0.00014698255,0.0004062088,0.00026027588,0.00066467095,0.00012423997,0.00048467895,0.0005066438,0.00006548557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016803211,0.00007076907,0.033563074,0.00048519028,0.00006935947,0.00000206906,0.0000708399,0.000049118516,8.573324e-8,0.96236604,0.0026227476,0.00068387616],"study_design_scores_gemma":[0.00056579045,0.00010976754,0.052553277,0.00024580723,0.000045441797,0.0000070345586,0.00039405067,0.0033378734,0.0000046350415,0.34846884,0.59388405,0.00038344171],"about_ca_topic_score_codex":0.00032607088,"about_ca_topic_score_gemma":0.0006133653,"teacher_disagreement_score":0.6138972,"about_ca_system_score_codex":0.00036102367,"about_ca_system_score_gemma":0.000084663145,"threshold_uncertainty_score":0.59937745},"labels":[],"label_agreement":null},{"id":"W3205861099","doi":"10.1111/j.1468-0084.2011.00668.x","title":"Are Short‐lived Jobs Stepping Stones to Long‐Lasting Jobs?*","year":2011,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Spell; Unemployment; Duration (music); Quarter (Canadian coin); Economics; Labour economics; Demographic economics; Displaced workers; Stepping stone; Term (time); Psychology; Macroeconomics; Sociology; History; Social psychology","score_opus":0.06744127795661542,"score_gpt":0.23064288914349734,"score_spread":0.16320161118688192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205861099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9498517,0.000292449,0.034745418,0.0003077917,0.00043469184,0.00027049752,0.002060266,0.000021701624,0.012015504],"genre_scores_gemma":[0.9470253,0.0013734051,0.050470952,0.00042542626,0.00007684856,0.0000093493245,0.000030472822,0.000049716306,0.00053853117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99787503,0.000022288548,0.0011432581,0.0005315867,0.000026763424,0.0004010505],"domain_scores_gemma":[0.9983825,0.0001773139,0.00075970194,0.0003714619,0.000100887846,0.00020815428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007479031,0.00026308335,0.00073187024,0.00017971464,0.00015179224,0.00008599638,0.00026562458,0.00011961137,0.0005635556],"category_scores_gemma":[0.0003468591,0.00031814724,0.00008227124,0.00008399372,0.00009982159,0.000049981136,0.00020221004,0.0001496799,0.00004223601],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078085366,0.00009859379,0.39118397,0.00012033343,0.00010137983,0.000015836837,0.00042942632,0.000147676,0.0000024096882,0.6019874,0.00041361302,0.005421237],"study_design_scores_gemma":[0.00079254754,0.00029902757,0.76231974,0.00009559749,0.00003737168,0.000012881238,0.00035724338,0.007755399,0.000045365774,0.13023435,0.097027,0.0010235042],"about_ca_topic_score_codex":0.0005515627,"about_ca_topic_score_gemma":0.00031065306,"teacher_disagreement_score":0.4717531,"about_ca_system_score_codex":0.00006629027,"about_ca_system_score_gemma":0.000018262299,"threshold_uncertainty_score":0.99992704},"labels":[],"label_agreement":null},{"id":"W3206664148","doi":"10.2139/ssrn.3943875","title":"Are Routine Jobs Moving South? Evidence from Changes in the Occupational Structure of Employment in the U.S. And Mexico","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Demographic economics; Labour economics; Geography; Business; Economics","score_opus":0.03056661265208096,"score_gpt":0.24983779352968352,"score_spread":0.21927118087760256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206664148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370606,0.011155097,0.0004883146,0.004330143,0.000075329306,0.000080776066,0.00012731735,0.0000016471553,0.000035334902],"genre_scores_gemma":[0.9963485,0.002983186,0.00004653538,0.00048694538,0.00009940174,0.0000032008707,0.000008148375,0.000006864198,0.000017245715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986173,0.00014890381,0.0004144106,0.00019878977,0.000094439216,0.00052616035],"domain_scores_gemma":[0.9990716,0.00022609861,0.00044646603,0.00019960331,0.000039209248,0.000017034052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024733008,0.000101065576,0.00022628422,0.00008534333,0.00007545542,0.0000804456,0.0002885179,0.00005742769,0.000047367917],"category_scores_gemma":[0.00038648775,0.00007119449,0.0000460128,0.0002667818,0.00002892381,0.00010938385,0.00004702966,0.00081195,7.914695e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024294208,0.000029415609,0.8819785,0.0000056076674,0.000028280052,0.000006660856,0.0020010709,0.00006846598,0.000039072987,0.11534123,0.0000032277546,0.00047413475],"study_design_scores_gemma":[0.00026525743,0.000027098253,0.6736433,0.000038000257,0.0000044635885,0.000020818963,0.0025683444,0.00031976413,0.0000163607,0.3229754,0.0000515142,0.00006967827],"about_ca_topic_score_codex":0.00062845746,"about_ca_topic_score_gemma":0.029713051,"teacher_disagreement_score":0.20833522,"about_ca_system_score_codex":0.00021632778,"about_ca_system_score_gemma":0.00019742065,"threshold_uncertainty_score":0.98799217},"labels":[],"label_agreement":null},{"id":"W3207150132","doi":"10.2139/ssrn.3776978","title":"Do Workers Bargain Over Wages? A Test Using Dual Jobholders","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Wage; Labour economics; Test (biology); Dual (grammatical number); Download; Economics; Wage bargaining; Efficiency wage; Quartile; Demographic economics; Medicine","score_opus":0.022062349631630118,"score_gpt":0.24060341964819668,"score_spread":0.21854107001656656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207150132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97441715,0.008434102,0.010023171,0.0008157194,0.0005648647,0.00008514778,0.00007201882,0.000025961448,0.005561876],"genre_scores_gemma":[0.9939174,0.0033316875,0.0003431677,0.00029657266,0.00035731817,0.0000023061489,0.000009520524,0.00004722279,0.0016948101],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966686,0.00006201727,0.0007170473,0.00042990086,0.00009670173,0.0020257558],"domain_scores_gemma":[0.99884117,0.00014891848,0.00043888134,0.00034568046,0.00008516398,0.00014017144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030970771,0.00021893535,0.00039707427,0.00016911008,0.00027287178,0.00029036048,0.00022674126,0.00014207701,0.00044162644],"category_scores_gemma":[0.00067457947,0.00024541144,0.00024727397,0.0004913479,0.000048333462,0.00031584981,0.0000872288,0.0015161145,0.00005749843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022834753,0.00015901169,0.21693708,0.000010774105,0.00026766557,0.00007693894,0.00012657647,0.0002867085,0.0002558652,0.77958995,0.00010645845,0.0021601343],"study_design_scores_gemma":[0.0013106597,0.00009885555,0.018613175,0.000037855712,0.00002686097,0.0005266827,0.001070751,0.0030632156,0.000025997417,0.9696878,0.005008282,0.0005298268],"about_ca_topic_score_codex":0.00021242528,"about_ca_topic_score_gemma":0.00041745044,"teacher_disagreement_score":0.1983239,"about_ca_system_score_codex":0.0013826904,"about_ca_system_score_gemma":0.0011830144,"threshold_uncertainty_score":0.9999998},"labels":[],"label_agreement":null},{"id":"W3208065466","doi":"10.2139/ssrn.4645277","title":"Household Income, Liquidity, and Optimal Unemployment Insurance","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Receipt; Market liquidity; Duration (music); Economics; Government (linguistics); Matching (statistics); Labour economics; Work (physics); Estimation; Income Support; Disability benefits; Consumption (sociology); Hazard ratio; Spell; Demographic economics; Actuarial science; Social security; Finance; Economic growth; Statistics; Macroeconomics","score_opus":0.0359793627197764,"score_gpt":0.2450342326491515,"score_spread":0.2090548699293751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208065466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97578853,0.0101423515,0.009198371,0.0016664017,0.0016238316,0.0002742405,0.0007120046,0.00011741251,0.00047682994],"genre_scores_gemma":[0.9391777,0.057902705,0.00020164868,0.0001030642,0.0005274988,0.000029478337,0.000034052995,0.000110519235,0.0019133216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955913,0.0000727885,0.0012066335,0.00077301345,0.0001255722,0.002230706],"domain_scores_gemma":[0.9980877,0.00008206274,0.0010200151,0.00057151366,0.000066116845,0.00017256905],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0054769325,0.00042784173,0.0008375744,0.00038911845,0.00023396633,0.00034839715,0.0006851082,0.0003994188,0.000019328068],"category_scores_gemma":[0.0001621875,0.0004760936,0.00027320458,0.00022538006,0.00008913194,0.00017006416,0.0009519009,0.0044999006,0.00005574305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006805221,0.000105532214,0.19699013,0.000113260816,0.00053475663,0.000022358068,0.00012107008,0.004121052,0.0000022073207,0.7967262,0.00008318088,0.0011121837],"study_design_scores_gemma":[0.0006114371,0.00016868075,0.041392528,0.00008661566,0.00001773241,0.00006867285,0.00006210693,0.0016281502,0.0000023162236,0.95385313,0.0015260291,0.00058258],"about_ca_topic_score_codex":0.00073334324,"about_ca_topic_score_gemma":0.00059417053,"teacher_disagreement_score":0.15712695,"about_ca_system_score_codex":0.001394834,"about_ca_system_score_gemma":0.00077332405,"threshold_uncertainty_score":0.9997691},"labels":[],"label_agreement":null},{"id":"W3209698738","doi":"10.21272/bel.5(3).61-68.2021","title":"Racial Disparities in Pre-tax Wages and Salaries in Largest Metropolitan Areas in the United States","year":2021,"lang":"en","type":"article","venue":"Business Ethics and Leadership","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Wages and salaries; Gini coefficient; Quarter (Canadian coin); Atlanta; Geography; Demographic economics; Inequality; Economics; Labour economics; Economic inequality; Archaeology","score_opus":0.14709084432696898,"score_gpt":0.28492885987432987,"score_spread":0.1378380155473609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209698738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546596,0.0064864275,0.000120884804,0.03798968,0.0001074627,0.0001252279,0.00014686788,0.00000866587,0.00035522433],"genre_scores_gemma":[0.99341106,0.0039790263,0.00005630086,0.0021969895,0.0000449658,0.00001973298,0.00012876748,0.000015393134,0.00014777527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843574,0.00029707415,0.00048710272,0.00035680569,0.00007057745,0.00035270472],"domain_scores_gemma":[0.9985264,0.0010261394,0.00011546342,0.00021076351,0.00008264092,0.000038579656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030929274,0.00016682877,0.00037049162,0.0003402028,0.00011669349,0.0002791143,0.00013868498,0.00025149374,0.000019227635],"category_scores_gemma":[0.0020823604,0.00015375284,0.000024662097,0.001049,0.00027345604,0.00019740096,0.00006922412,0.00086903456,0.0000012117551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002572017,0.00007459836,0.58926576,0.00024271895,0.000006639435,0.00003692762,0.0065269065,0.00004176808,7.9304704e-7,0.40370885,0.000011112412,0.00005823472],"study_design_scores_gemma":[0.0005561639,0.000011441459,0.8456772,0.000089332876,0.0000031619356,0.0000038084277,0.008146555,0.0010167378,0.0000025776437,0.14245379,0.001842843,0.00019640764],"about_ca_topic_score_codex":0.023176987,"about_ca_topic_score_gemma":0.05132503,"teacher_disagreement_score":0.26125506,"about_ca_system_score_codex":0.00007272286,"about_ca_system_score_gemma":0.000060750088,"threshold_uncertainty_score":0.98332775},"labels":[],"label_agreement":null},{"id":"W3213801418","doi":"10.2139/ssrn.3937491","title":"The Heterogeneous Impact of Referrals on Labor Market Outcomes","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Labour economics; Demographic economics; Economics","score_opus":0.018863208525670194,"score_gpt":0.26482149239912534,"score_spread":0.24595828387345514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213801418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854435,0.0062484243,0.00027144607,0.0014458994,0.00033327888,0.00006735021,0.00014471801,0.000009630832,0.006035797],"genre_scores_gemma":[0.9839756,0.0105674,0.000021477927,0.00015071388,0.00008148781,0.0000030547856,0.000004330052,0.00002347107,0.0051724855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997645,0.00009475808,0.00068449206,0.00022217768,0.00007607982,0.0012774433],"domain_scores_gemma":[0.9987052,0.00020092826,0.0004964068,0.00041344634,0.00011345508,0.00007053611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002972626,0.00016066636,0.00038891603,0.00007680736,0.00020360772,0.0000982391,0.00032271133,0.00007653564,0.00023208506],"category_scores_gemma":[0.0004477787,0.00011383065,0.00041485106,0.00022049787,0.00003702715,0.000082915416,0.000048546433,0.0008216978,0.000027614902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097779026,0.00011236487,0.14523584,0.0000044540493,0.00064159546,0.000010051493,0.000041541538,0.0001264694,0.00001865892,0.8504999,0.00014486226,0.0030664252],"study_design_scores_gemma":[0.0005847514,0.0003064976,0.09784147,0.000008587706,0.00000990768,0.00010476813,0.000101671605,0.0002525126,0.00003524136,0.897907,0.0026618023,0.00018574452],"about_ca_topic_score_codex":0.00012227915,"about_ca_topic_score_gemma":0.0006125986,"teacher_disagreement_score":0.047407083,"about_ca_system_score_codex":0.00076587504,"about_ca_system_score_gemma":0.0006515752,"threshold_uncertainty_score":0.4641879},"labels":[],"label_agreement":null},{"id":"W3214446314","doi":"10.1287/orsc.2021.1516","title":"In the Midst of Hiring: Pathways of Anticipated and Accidental Job Evolution During Hiring","year":2021,"lang":"en","type":"article","venue":"Organization Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Accidental; Business; Process (computing); Work (physics); Job creation; Product (mathematics); Public relations; Marketing; Labour economics; Economics; Political science; Computer science","score_opus":0.02216748247096175,"score_gpt":0.22765001295067125,"score_spread":0.2054825304797095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214446314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977039,0.00012463948,0.0013697942,0.00014054966,0.000097303746,0.000047064837,0.000016388272,0.000004468679,0.0004958606],"genre_scores_gemma":[0.99973285,0.000061733735,0.00014465893,0.000024623872,0.000009501832,5.71578e-7,0.0000023309667,0.000004527246,0.000019180325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992603,0.000016593396,0.00034937388,0.00019603029,0.000068085596,0.00010961989],"domain_scores_gemma":[0.9994353,0.000026903264,0.0001942998,0.00017390742,0.00015043296,0.000019153249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085212337,0.000045928293,0.00012608078,0.00013687536,0.00008290674,0.000044399487,0.00017495341,0.00002428812,0.000043340577],"category_scores_gemma":[0.0006938301,0.000044998633,0.00001114431,0.0018746954,0.00011443494,0.00034914617,0.00010094488,0.00004284846,0.0000022980169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011271309,0.00002579829,0.8037119,0.00002066638,0.0000014105865,0.0000017333301,0.0007715666,0.00005946891,0.042276476,0.15311016,7.4964237e-7,0.00001898129],"study_design_scores_gemma":[0.00016377593,0.000005847801,0.97310865,0.000013294744,0.0000011866364,0.000004532265,0.00029400713,0.0012453253,0.019362887,0.0057418817,0.0000043683035,0.00005423856],"about_ca_topic_score_codex":0.000112001384,"about_ca_topic_score_gemma":0.000029194201,"teacher_disagreement_score":0.16939679,"about_ca_system_score_codex":0.000061485174,"about_ca_system_score_gemma":0.000049102873,"threshold_uncertainty_score":0.1834991},"labels":[],"label_agreement":null},{"id":"W3217410670","doi":"10.1111/labr.12214","title":"Gender pay gap in the public sector: Evidence from the Canadian Labour Force Survey","year":2021,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Public sector; Wage; Private sector; Labour economics; Economics; Distribution (mathematics); Gender gap; Demographic economics; Gender pay gap; Economic growth; Economy","score_opus":0.11506707544323837,"score_gpt":0.259078970193923,"score_spread":0.14401189475068465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217410670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97070163,0.0034024478,0.00018381736,0.01782842,0.0007230566,0.00017715646,0.002956591,0.000014711482,0.00401215],"genre_scores_gemma":[0.99056655,0.00050550466,0.00007708979,0.00690191,0.00019870327,0.000024486557,0.00011025821,0.000022813809,0.0015927054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799395,0.00042548138,0.00049474713,0.00046627678,0.00009677184,0.0005227606],"domain_scores_gemma":[0.99772054,0.0009270874,0.00017727984,0.00090442837,0.00014048078,0.00013018824],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00422765,0.00016760602,0.00028375874,0.00007507356,0.0002785223,0.0005929775,0.0007821505,0.00013682067,0.00135292],"category_scores_gemma":[0.0020770836,0.00011211496,0.000086552885,0.00090285996,0.00004794026,0.00026494864,0.000094942385,0.0004255449,0.00018327279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029119174,0.000017917191,0.6304024,0.0000064974274,0.000021797685,0.00002493908,0.0005298485,0.000008708681,0.0000028147256,0.36845478,0.00041816896,0.00010921538],"study_design_scores_gemma":[0.00015836037,0.000005033948,0.8318124,0.000009537304,0.0000019340034,0.0000025909885,0.00013387947,0.00024222027,0.0000029194737,0.12200399,0.045460396,0.0001667455],"about_ca_topic_score_codex":0.6196221,"about_ca_topic_score_gemma":0.9577873,"teacher_disagreement_score":0.33816516,"about_ca_system_score_codex":0.00024548543,"about_ca_system_score_gemma":0.00043481137,"threshold_uncertainty_score":0.99956},"labels":[],"label_agreement":null},{"id":"W341825218","doi":"","title":"Labor Market Conditions, Skill Requirements and Education Mismatch","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Unemployment; Labour economics; Economics; Recession; Macroeconomics","score_opus":0.03352100628649324,"score_gpt":0.3129866895933961,"score_spread":0.27946568330690286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W341825218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79849905,0.0010511373,0.0000039980805,0.0012152885,0.001054507,0.001026295,0.0012071676,0.00003422504,0.19590832],"genre_scores_gemma":[0.95060444,0.029002868,0.0010489443,0.00046563978,0.00032538842,0.00079989946,0.0004479144,0.00010362041,0.017201306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960992,0.00020260687,0.0014279387,0.0013733293,0.00010101904,0.0007959194],"domain_scores_gemma":[0.9973083,0.0003399511,0.00061609666,0.0012577641,0.00019030656,0.00028757058],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034116642,0.00040199058,0.0008442786,0.00080311496,0.00020175819,0.00046028025,0.0006641776,0.0005941078,0.0012155345],"category_scores_gemma":[0.00073143194,0.0005106386,0.00014608054,0.00019629918,0.00028306732,0.0003011768,0.0010407044,0.0012466434,0.00008596943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001252463,0.0014632572,0.40389985,0.0014954559,0.00047552967,0.000020475472,0.0011515651,0.00024411321,0.000026032107,0.44398808,0.0047443593,0.14236602],"study_design_scores_gemma":[0.0008300063,0.000063662075,0.20079473,0.00030019713,0.000008875215,0.0000064025044,0.00047506744,0.009147782,0.000008132645,0.72189313,0.06551928,0.00095276226],"about_ca_topic_score_codex":0.0008911783,"about_ca_topic_score_gemma":0.00018340655,"teacher_disagreement_score":0.27790502,"about_ca_system_score_codex":0.0010528881,"about_ca_system_score_gemma":0.000436601,"threshold_uncertainty_score":0.9997345},"labels":[],"label_agreement":null},{"id":"W35623424","doi":"10.1016/j.chemosphere.2022.135087","title":"Pendidikan dan segregasi pekerjaan mengikut gender.","year":2006,"lang":"en","type":"article","venue":"Chemosphere","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Generalitat de Catalunya; Agència Catalana de l'Aigua; Ministerio de Ciencia e Innovación; Canadian Institute for Advanced Research","keywords":"Computer science","score_opus":0.02178782295683118,"score_gpt":0.20733027976819776,"score_spread":0.18554245681136658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35623424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66375303,0.0012453026,0.0010912142,0.00033033313,0.00029532766,0.00012719439,0.000108388725,0.000094365576,0.33295482],"genre_scores_gemma":[0.99282104,0.00004304174,0.0015737907,0.0002158243,0.00027674943,0.000014734408,0.00008055202,0.00004456976,0.0049296967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983871,0.000014141673,0.0005917948,0.0005236544,0.000056883186,0.00042644347],"domain_scores_gemma":[0.9990141,0.00003412722,0.0002685558,0.00054670306,0.000039796036,0.00009675012],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004585806,0.00022478748,0.00038074923,0.000025264388,0.00013965373,0.00011134174,0.00030957247,0.00014835449,0.0010669598],"category_scores_gemma":[0.000048961563,0.00025634616,0.0001582939,0.00024503036,0.000055682736,0.00018187295,0.00008738634,0.00018719416,0.00038629494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009802476,0.00012348496,0.2137461,0.000049820057,0.000033125954,0.000015668405,0.00009045852,0.00005160501,0.00006770579,0.7818273,0.0033150516,0.000669897],"study_design_scores_gemma":[0.001448187,0.000047988367,0.22963081,0.000016408996,0.000016967397,0.000016271099,0.00019984426,0.0038472028,0.0009427248,0.59691936,0.16584694,0.001067302],"about_ca_topic_score_codex":0.0005091803,"about_ca_topic_score_gemma":0.00015310437,"teacher_disagreement_score":0.329068,"about_ca_system_score_codex":0.00013312142,"about_ca_system_score_gemma":0.000022310305,"threshold_uncertainty_score":0.99998885},"labels":[],"label_agreement":null},{"id":"W35779579","doi":"10.7202/028725ar","title":"Changes in Relative Female-Male Unemployment : a Canadian-United States Comparison","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Demographic economics; Unemployment rate; Economics; Demography; Economic growth; Sociology","score_opus":0.052321298177044,"score_gpt":0.25681044146586735,"score_spread":0.20448914328882334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35779579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95111907,0.0009805738,0.00056823343,0.015562309,0.00013121279,0.00029638552,0.00054781133,0.000033473436,0.030760914],"genre_scores_gemma":[0.99275416,0.0002196033,0.0005261255,0.00033573294,0.00006852079,0.000036307687,0.00031096698,0.000019509172,0.005729092],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986579,0.000043853222,0.00059503457,0.0003045997,0.00004375561,0.00035490238],"domain_scores_gemma":[0.9991518,0.00016811265,0.00022718098,0.00026016968,0.000044407883,0.00014830685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000555463,0.00015317714,0.0002864852,0.0007871997,0.00016460926,0.00005524973,0.0001543614,0.0002510368,0.0010630676],"category_scores_gemma":[0.00018944203,0.00018240101,0.000043411466,0.0009764322,0.000052504147,0.0001911594,0.00003552994,0.00042973267,0.00034867116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049275613,0.00009072031,0.71785355,0.0000014563998,0.000033890683,0.0000040413283,0.0018603767,0.016018579,4.0084126e-7,0.2613607,0.001247418,0.0015239778],"study_design_scores_gemma":[0.0009157945,0.00008074612,0.09014706,0.00005424486,0.000011436827,0.00000276694,0.001385366,0.09906823,0.000019871059,0.02246998,0.7853088,0.00053575524],"about_ca_topic_score_codex":0.04989011,"about_ca_topic_score_gemma":0.21518874,"teacher_disagreement_score":0.7840613,"about_ca_system_score_codex":0.0005875345,"about_ca_system_score_gemma":0.00008636048,"threshold_uncertainty_score":0.9998501},"labels":[],"label_agreement":null},{"id":"W362640137","doi":"10.2139/ssrn.2872299","title":"The US Labor Market in 2030: A Scenario Based on Current Trends in Supply and Demand","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Supply and demand; Current (fluid); Economics; Industrial organization; Excess supply; Business; Labour economics; Microeconomics; Engineering; Electrical engineering","score_opus":0.008134493475332731,"score_gpt":0.21777492176351423,"score_spread":0.2096404282881815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W362640137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983656,0.008488989,0.00028235253,0.004449449,0.00023930741,0.0001452946,0.00003129779,0.000006462755,0.0027008802],"genre_scores_gemma":[0.99004,0.008882481,0.000020516083,0.00018786185,0.00006853346,0.00002189585,0.00000438159,0.000017267805,0.00075706106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759173,0.00009664756,0.00059349026,0.0002711546,0.00006130268,0.0013856479],"domain_scores_gemma":[0.9993211,0.00013241559,0.00023070686,0.00021033135,0.000028556067,0.00007689723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00393257,0.00016133465,0.00027232504,0.00037061097,0.00013774079,0.00020342798,0.00023543679,0.00007187536,0.00017808501],"category_scores_gemma":[0.000116161835,0.00012997726,0.00006850443,0.00040713607,0.00004613926,0.00017316393,0.000032495896,0.0013340764,0.000018777555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009413384,0.00014178352,0.66246074,0.0000065144854,0.00001777167,0.0000030808114,0.00006511933,0.00013128926,0.0000012686627,0.2673422,0.00018364897,0.06955241],"study_design_scores_gemma":[0.0014116083,0.00014086365,0.58043677,0.000027135013,0.0000023635569,0.000009782791,0.000053825665,0.025226131,5.8133685e-7,0.38611358,0.006385206,0.00019215501],"about_ca_topic_score_codex":0.00088286184,"about_ca_topic_score_gemma":0.009801376,"teacher_disagreement_score":0.118771374,"about_ca_system_score_codex":0.0007326179,"about_ca_system_score_gemma":0.00022283511,"threshold_uncertainty_score":0.57959723},"labels":[],"label_agreement":null},{"id":"W4200094431","doi":"10.54605/fec20210302","title":"Do Imports Increase Unemployment? Empirical Estimates That Are Not Model Dependent","year":2021,"lang":"en","type":"article","venue":"Frontiers of Economics in China","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Czech; Wage; Liberalization; Free trade; International economics; Demographic economics; Labour economics; Macroeconomics; Market economy","score_opus":0.04561453622011034,"score_gpt":0.2577581632641616,"score_spread":0.2121436270440513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200094431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98549396,0.0020283214,0.004032066,0.0010217259,0.0008341638,0.00016819217,0.0010603929,0.0000220289,0.005339172],"genre_scores_gemma":[0.98711604,0.0013322682,0.010666618,0.00035979116,0.0000473411,0.000020208568,0.00008187033,0.000046954552,0.00032888635],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997626,0.000029405712,0.0011317667,0.0007521527,0.000040023613,0.00042064543],"domain_scores_gemma":[0.9982315,0.00006549932,0.0007751378,0.00073807605,0.0000326945,0.00015710366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010199203,0.00028058645,0.0009176105,0.0002581678,0.00006524366,0.00010461019,0.00037562402,0.00020776333,0.00008667704],"category_scores_gemma":[0.0002476449,0.00035259387,0.00022296855,0.00015604857,0.00008496819,0.00031419174,0.00026150877,0.00026837407,0.000011663825],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006655165,0.00028011008,0.91638416,0.000038131126,0.00008771995,0.000033807977,0.00022887431,0.018927705,0.0000026593927,0.0627179,0.0010119923,0.0002204156],"study_design_scores_gemma":[0.0011283611,0.000026336085,0.15635642,0.000027527647,0.000015745482,0.000008127635,0.00015493965,0.28173658,0.00032439712,0.5589927,0.0006955697,0.0005333227],"about_ca_topic_score_codex":0.00033875223,"about_ca_topic_score_gemma":0.00034952286,"teacher_disagreement_score":0.7600277,"about_ca_system_score_codex":0.0003645641,"about_ca_system_score_gemma":0.000112907794,"threshold_uncertainty_score":0.9998926},"labels":[],"label_agreement":null},{"id":"W4200101533","doi":"10.33423/jabe.v23i5.4576","title":"The Impact of the Aging of the Workforce on Wage Growth Over Time","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Workforce; Unemployment; Demographics; Labour economics; Productivity; Wage; Inflation (cosmology); Unemployment rate; Wage growth; Short run; Real wages; Demographic economics; Monetary economics; Macroeconomics; Demography; Economic growth","score_opus":0.01217534687045052,"score_gpt":0.20618595894866507,"score_spread":0.19401061207821454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200101533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908686,0.00044395225,0.00004674338,0.0008812839,0.00035694806,0.00007782554,0.00007196009,0.0000012216458,0.007251453],"genre_scores_gemma":[0.99813306,0.0013431277,0.000046293844,0.00014567387,0.00011269856,0.0000010137752,9.0038054e-7,0.000015012381,0.00020221197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987766,0.000018320097,0.0008693075,0.00013587013,0.00003258323,0.0001673293],"domain_scores_gemma":[0.99773806,0.00020254841,0.0015415708,0.0003599441,0.000120289944,0.000037575406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010489929,0.00012661873,0.00044429916,0.000046143068,0.00014585191,0.00006771982,0.00035468992,0.00006539059,0.000030522715],"category_scores_gemma":[0.00012814383,0.00006902796,0.0002711807,0.00025004434,0.000116960815,0.000095844116,0.000145897,0.000192836,0.0000018208389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027018233,0.00018580163,0.13358818,0.000064537824,0.00039377934,0.000001546036,0.0003629788,0.011639945,0.00025359064,0.84803057,0.00036876442,0.0048401062],"study_design_scores_gemma":[0.0009663032,0.00003079235,0.7718752,0.00008428237,0.000027685306,0.000014428464,0.00006103985,0.0032224942,0.0004234669,0.22104746,0.0020520827,0.00019477999],"about_ca_topic_score_codex":0.00006328383,"about_ca_topic_score_gemma":0.000012525134,"teacher_disagreement_score":0.638287,"about_ca_system_score_codex":0.00008931349,"about_ca_system_score_gemma":0.00009648565,"threshold_uncertainty_score":0.28148785},"labels":[],"label_agreement":null},{"id":"W4200130592","doi":"10.1002/jid.3605","title":"Working while studying: Employment premium or penalty for youth?","year":2021,"lang":"en","type":"article","venue":"Journal of International Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Work (physics); Sample (material); Demographic economics; School-to-work transition; Control (management); Transition (genetics); Hazard; Developing country; Psychology; Economics; Labour economics; Economic growth; Vocational education; Engineering; Management","score_opus":0.11681014001397842,"score_gpt":0.27862867528837376,"score_spread":0.16181853527439533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200130592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.916805,0.0009775743,0.06340824,0.0024894644,0.006766862,0.00022114563,0.00011250479,0.000013012575,0.009206191],"genre_scores_gemma":[0.9705191,0.00016544877,0.024166392,0.00038086314,0.00032338902,0.000010584161,0.00003104224,0.000016393746,0.0043867524],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836504,0.000014190638,0.0011293886,0.00018946615,0.00013639014,0.00016551238],"domain_scores_gemma":[0.9985163,0.000094811025,0.00077477243,0.0001049004,0.00043400613,0.00007519772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012251548,0.00011109262,0.00029452224,0.0001508056,0.000074789976,0.00012562581,0.0002861597,0.000046001885,0.00049757236],"category_scores_gemma":[0.00037087136,0.000100262645,0.0001307604,0.00011244353,0.000009785182,0.00014201076,0.00009848979,0.00012300412,0.000012004108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007723995,0.0016057251,0.8201715,0.00008356999,0.0024768838,0.00020560913,0.008817259,0.0006972282,0.00015129846,0.14037718,0.0037849636,0.020856414],"study_design_scores_gemma":[0.003910007,0.0001936637,0.15504302,0.00038270067,0.000032073996,0.00011169767,0.0018839536,0.0008699967,0.0016258203,0.024016015,0.8112802,0.00065084355],"about_ca_topic_score_codex":0.0000074098225,"about_ca_topic_score_gemma":0.0000393926,"teacher_disagreement_score":0.80749524,"about_ca_system_score_codex":0.00041135462,"about_ca_system_score_gemma":0.00022211022,"threshold_uncertainty_score":0.54480684},"labels":[],"label_agreement":null},{"id":"W4200215044","doi":"10.1257/aer.20201385","title":"Labor Rationing","year":2021,"lang":"en","type":"article","venue":"American Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rationing; Economics; Casual; Labour economics; Quarter (Canadian coin); Secondary labor market; Implicit contract theory; Split labor market theory; Labor demand; Labor relations; Wage","score_opus":0.02269023323067995,"score_gpt":0.2600518522287947,"score_spread":0.23736161899811473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200215044","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27578482,0.3662497,0.0034779354,0.03125947,0.0017418637,0.0006612531,0.0008479886,0.00017909179,0.31979787],"genre_scores_gemma":[0.6714693,0.29924384,0.0033664224,0.0217831,0.0002737881,0.00008039115,0.00014687533,0.00005819753,0.0035781278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984445,0.00004700488,0.00080511044,0.0004504354,0.000016640512,0.00023630702],"domain_scores_gemma":[0.9987092,0.00006745769,0.0005588544,0.0005430259,0.000034368884,0.00008709691],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00068873103,0.0001397835,0.00069599843,0.00004183254,0.00006522148,0.00006719699,0.00018083461,0.000023365143,0.0019439274],"category_scores_gemma":[0.0002138711,0.00016729902,0.00016654025,0.00023695956,0.00007570795,0.00016943888,0.00006714418,0.00010143291,0.0018717945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022123681,0.000038879334,0.043300807,0.00030185535,0.0000869752,0.000012697019,0.00003689565,0.000022242097,0.0000048837187,0.9132573,0.0035084337,0.039426845],"study_design_scores_gemma":[0.00022094767,0.000027186506,0.020130785,0.0002403436,0.000017046123,0.00001780412,0.000035894307,0.0005577459,0.000017277072,0.032395545,0.9458915,0.0004479207],"about_ca_topic_score_codex":0.00024689853,"about_ca_topic_score_gemma":0.00007716098,"teacher_disagreement_score":0.94238305,"about_ca_system_score_codex":0.0001543741,"about_ca_system_score_gemma":0.00007994012,"threshold_uncertainty_score":0.9989684},"labels":[],"label_agreement":null},{"id":"W4200447555","doi":"10.52398/gjsd.2021.v1.i2.pp7-28","title":"Generic Skills, Academic Achievement, and Means of Improving the Former","year":2021,"lang":"en","type":"article","venue":"GiLE Journal of Skills Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Academic achievement; Curriculum; Academic skills; Skills management; Psychology; Medical education; Mathematics education; Government (linguistics); Study skills; Pedagogy; Medicine","score_opus":0.0198630731088165,"score_gpt":0.22210166342029514,"score_spread":0.20223859031147864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200447555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855599,0.0042796973,0.008175317,0.0006819798,0.0004615156,0.0000815532,0.00003495833,0.0000032611401,0.0007218583],"genre_scores_gemma":[0.985044,0.003054828,0.010744192,0.0004504318,0.00008896618,0.0000034965167,0.00000520253,0.000016430771,0.0005924768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822426,0.000029192941,0.0012415093,0.00017529154,0.000104046405,0.00022568648],"domain_scores_gemma":[0.9984164,0.0000980471,0.0010702492,0.00017154645,0.00015964538,0.000084100786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016504908,0.00013159102,0.00039067568,0.000114414535,0.00011078858,0.00003599809,0.00023568766,0.0000807567,0.00009574415],"category_scores_gemma":[0.00022814209,0.00010329158,0.00009574479,0.00022237322,0.000046436595,0.00017397909,0.0001512267,0.00028024762,0.0000054679203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046289093,0.0009845785,0.76048625,0.00038367495,0.0010739405,0.00007286159,0.009696144,0.0003229707,0.0029397465,0.084222674,0.00067439425,0.13909648],"study_design_scores_gemma":[0.0016220399,0.00010534912,0.88727516,0.00017342821,0.000040610852,0.00013637848,0.00053966953,0.0003536861,0.005070423,0.026391014,0.07780527,0.00048694958],"about_ca_topic_score_codex":0.000011334801,"about_ca_topic_score_gemma":0.000010635092,"teacher_disagreement_score":0.13860953,"about_ca_system_score_codex":0.00011749272,"about_ca_system_score_gemma":0.00015630569,"threshold_uncertainty_score":0.42121086},"labels":[],"label_agreement":null},{"id":"W4205803400","doi":"10.17848/wp22-361","title":"How Reliable are Administrative Reports of Paid Work Hours?","year":2022,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Washington Center for Equitable Growth; Sage Foundation; W.E. Upjohn Institute for Employment Research; Russell Sage Foundation","keywords":"Quarter (Canadian coin); Earnings; Current Population Survey; Unemployment; Wage; Work (physics); Population; Demographic economics; Business; Demography; Actuarial science; Labour economics; Economics; Geography; Accounting; Economic growth; Engineering; Sociology","score_opus":0.08316867238464708,"score_gpt":0.2713411788603262,"score_spread":0.18817250647567912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205803400","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044297516,0.00912442,0.0007143268,0.0013435476,0.006475088,0.0008992606,0.0041600475,0.00013532411,0.9328505],"genre_scores_gemma":[0.80699533,0.0034798626,0.00081052363,0.00011105351,0.00034160417,0.00013069877,0.00062015385,0.000114063594,0.18739673],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963439,0.000040709238,0.0018247183,0.001063984,0.0002863782,0.00044028502],"domain_scores_gemma":[0.9929537,0.000121818666,0.0050562145,0.0013856422,0.00034568648,0.00013694809],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0035471104,0.00042996818,0.0016303468,0.00032251334,0.000120843026,0.00016436297,0.00037839354,0.00042499078,0.003879717],"category_scores_gemma":[0.0012837381,0.0004717482,0.00051440194,0.0006631818,0.0000869216,0.00016709705,0.00029327604,0.0006976275,0.000011336358],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006608291,0.00050968607,0.8161757,0.0006496475,0.0007373461,0.00089981966,0.00016798842,0.00006583719,5.474537e-7,0.0629675,0.11688366,0.0008761682],"study_design_scores_gemma":[0.00023451472,0.00017920128,0.04565682,0.0001891955,0.00004967703,0.00006898542,0.00035291558,0.000015664029,0.00001132717,0.0473156,0.90487784,0.0010482642],"about_ca_topic_score_codex":0.0011444826,"about_ca_topic_score_gemma":0.00013877927,"teacher_disagreement_score":0.78799415,"about_ca_system_score_codex":0.0005736112,"about_ca_system_score_gemma":0.0005580108,"threshold_uncertainty_score":0.99977344},"labels":[],"label_agreement":null},{"id":"W4205933227","doi":"10.17848/wp21-359","title":"Wage Posting or Wage Bargaining? A Test Using Dual Jobholders","year":2022,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Efficiency wage; Labour economics; Economics; Wage bargaining; Compensating differential; Test (biology); Dual (grammatical number); Quartile; Collective bargaining; Wage share; Medicine","score_opus":0.13792618782746902,"score_gpt":0.29958351799371324,"score_spread":0.16165733016624423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205933227","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103514895,0.0019435032,0.00094322907,0.00022005977,0.0037717356,0.0007564438,0.006953327,0.00028514786,0.88161165],"genre_scores_gemma":[0.89864355,0.002163893,0.00418701,0.0010573635,0.0014404976,0.00008788019,0.0010474911,0.00045398655,0.09091833],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99515903,0.00006076048,0.0022047136,0.0013693969,0.00030421675,0.0009019082],"domain_scores_gemma":[0.9960907,0.00065526913,0.0017976238,0.0010391537,0.00019823361,0.00021903317],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004992811,0.00065978477,0.0015212349,0.00063393975,0.0005134806,0.00034910988,0.00056499045,0.0004943869,0.0158084],"category_scores_gemma":[0.0042852913,0.0006854876,0.00046523905,0.00077904406,0.00008426777,0.00025879033,0.0007742012,0.0011527725,0.00009865045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003375136,0.0025374824,0.6019586,0.0023775024,0.00331369,0.0070644296,0.0029269778,0.0018819887,0.00015639816,0.31176838,0.050058324,0.015618751],"study_design_scores_gemma":[0.0026865825,0.0007278029,0.023056649,0.0004351498,0.0002689817,0.0008581134,0.0015099561,0.034147356,0.000012528188,0.029927708,0.9000237,0.006345462],"about_ca_topic_score_codex":0.008722658,"about_ca_topic_score_gemma":0.00044783266,"teacher_disagreement_score":0.8499654,"about_ca_system_score_codex":0.0015091043,"about_ca_system_score_gemma":0.00097483594,"threshold_uncertainty_score":0.99955964},"labels":[],"label_agreement":null},{"id":"W4206630412","doi":"10.1016/j.labeco.2022.102131","title":"How reliable are administrative reports of paid work hours?","year":2022,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Current Population Survey; Unemployment; Wage; Work (physics); Population; Demographic economics; Labour economics; Economics; Business; Demography; Geography; Accounting; Economic growth; Engineering","score_opus":0.03239031841655521,"score_gpt":0.21745670098258066,"score_spread":0.18506638256602545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206630412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881617,0.00063361804,0.00020542556,0.0016553067,0.0011094151,0.00022858442,0.0015430556,0.00003793105,0.006424969],"genre_scores_gemma":[0.9931771,0.00018496328,0.0008049529,0.0004002065,0.00010551029,0.00006981441,0.00006397996,0.000045115044,0.0051483465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998035,0.000037116744,0.00092922954,0.00059503934,0.000040365172,0.00036324497],"domain_scores_gemma":[0.99721754,0.0000745301,0.0017862505,0.00075760554,0.00005408193,0.000109986126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013007347,0.00020954007,0.0006544481,0.00015551959,0.00019954493,0.00012863435,0.00033233053,0.000088538356,0.00064854656],"category_scores_gemma":[0.00015296885,0.00027639337,0.00019397153,0.00034478464,0.00006751671,0.00025473908,0.00024779123,0.00029169922,0.000014001018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045404577,0.00012940192,0.36414662,0.000021462487,0.000072182964,0.000030894917,0.00017713683,0.0011977952,0.0000019301135,0.6338163,0.000188405,0.00017245531],"study_design_scores_gemma":[0.00063010136,0.00019195575,0.09264331,0.00001701594,0.000012537729,0.0000301351,0.00097574637,0.00017689052,0.000089133384,0.7585849,0.14597337,0.0006748459],"about_ca_topic_score_codex":0.00016022776,"about_ca_topic_score_gemma":0.000052991727,"teacher_disagreement_score":0.2715033,"about_ca_system_score_codex":0.00027213982,"about_ca_system_score_gemma":0.00007551739,"threshold_uncertainty_score":0.9999688},"labels":[],"label_agreement":null},{"id":"W4212823266","doi":"10.22215/etd/2011-09512","title":"The indirect advantage of training on productivity","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Productivity; Humanities; Political science; Economics; Art; Economic growth","score_opus":0.048206388104752425,"score_gpt":0.2512926928495189,"score_spread":0.20308630474476647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212823266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53052866,0.00046094003,0.000028149501,0.00005771163,0.0011947687,0.00022150255,0.00018365103,0.000021327663,0.4673033],"genre_scores_gemma":[0.95866,0.00045876563,0.000087419765,0.000028562783,0.00008372588,0.000029354309,0.00014600085,0.000035599936,0.04047054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986252,0.00002799052,0.0006648179,0.00040998805,0.000047844205,0.00022415703],"domain_scores_gemma":[0.99842125,0.00013768599,0.00083353976,0.00051896204,0.00005319519,0.000035382116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013721137,0.00019671557,0.00052075257,0.00013438403,0.00011978032,0.000033705626,0.00030753977,0.00025188274,0.00020541996],"category_scores_gemma":[0.00035884217,0.00015663344,0.0001609838,0.00016768435,0.000036513648,0.00007285036,0.000017297425,0.00038169097,0.000047960275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012154684,0.00008974034,0.0024188547,0.0000837735,0.00010291002,0.0000010979131,0.0016262664,9.4567736e-7,0.000012812158,0.9778007,0.000060013288,0.017681286],"study_design_scores_gemma":[0.0005744432,0.00027829205,0.17980812,0.00014399459,0.000034453948,0.0000011710213,0.002396648,0.00014663285,0.0016752731,0.7522358,0.061618116,0.0010870539],"about_ca_topic_score_codex":0.00026353024,"about_ca_topic_score_gemma":0.00085932197,"teacher_disagreement_score":0.4281314,"about_ca_system_score_codex":0.000036613816,"about_ca_system_score_gemma":0.00004289909,"threshold_uncertainty_score":0.6387326},"labels":[],"label_agreement":null},{"id":"W4212984475","doi":"10.1093/oep/gpac001","title":"The cyclicality of job search effort in matching models","year":2022,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidade de Lisboa; Queen's University; Queen's University Belfast; University of Nottingham; Universidade do Porto; University of Bath; European Regional Development Fund; King's College London","keywords":"Matching (statistics); Economics; Productivity; Wage; Value (mathematics); Business cycle; Wage bargaining; Econometrics; Labour economics; Microeconomics; Macroeconomics; Computer science; Mathematics","score_opus":0.02627937648867793,"score_gpt":0.2352511760600387,"score_spread":0.20897179957136078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212984475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8723087,0.00022444727,0.00007661115,0.00075131183,0.0003146552,0.00018327897,0.0003013702,0.000013174239,0.12582648],"genre_scores_gemma":[0.99828374,0.00045828032,0.00010078988,0.0001745642,0.000028136716,0.00006236627,0.000014218277,0.000021886577,0.0008560105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99826497,0.000053101012,0.00088888046,0.00037283445,0.000043882283,0.00037630633],"domain_scores_gemma":[0.9990178,0.00016762354,0.00026288474,0.00048466204,0.0000063136545,0.000060768125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029449158,0.00012951666,0.00037653337,0.00011205911,0.00028051427,0.000045928504,0.00053164945,0.000047091333,0.00045669664],"category_scores_gemma":[0.000019135054,0.00013345864,0.00015487167,0.00013257867,0.000079609505,0.00014848655,0.00031556003,0.00030077208,0.000014026607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055080443,0.000037659553,0.11209732,0.000014071565,0.000037326612,0.0000017063412,0.00044109672,0.047302295,0.000011052969,0.83847195,0.000028299746,0.0015021547],"study_design_scores_gemma":[0.0010176435,0.000060125843,0.10817224,0.0000059039908,0.000004191308,0.000004260474,0.00095279753,0.08178926,0.000009437157,0.74728066,0.06027738,0.00042611748],"about_ca_topic_score_codex":0.0020582492,"about_ca_topic_score_gemma":0.0006775014,"teacher_disagreement_score":0.12597507,"about_ca_system_score_codex":0.0005043783,"about_ca_system_score_gemma":0.000052623676,"threshold_uncertainty_score":0.54422855},"labels":[],"label_agreement":null},{"id":"W4213042259","doi":"10.3138/cpp.37.1.61","title":"Aboriginal Income Disparity in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa; Simon Fraser University","funders":"","keywords":"Earnings; Low income; Demographic economics; Geography; Demography; Sociology; Economics; Finance","score_opus":0.028256823723533414,"score_gpt":0.219816264485656,"score_spread":0.19155944076212258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213042259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8370201,0.0001468979,0.000036128786,0.0033417381,0.00034695695,0.00010000241,0.0011156866,0.00001153392,0.15788095],"genre_scores_gemma":[0.99713653,0.000055160286,0.00007810713,0.002146511,0.0001130252,0.000017435354,0.000023552251,0.00001828466,0.0004114159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99837327,0.000021946373,0.00046788147,0.00031235054,0.000036404424,0.0007881633],"domain_scores_gemma":[0.998628,0.000018631565,0.00012577427,0.00041168436,0.000033174598,0.00078272173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047182565,0.00014285423,0.0002837634,0.00068660104,0.00008196542,0.000059701542,0.00042898057,0.00007813158,0.00096180773],"category_scores_gemma":[0.00016588761,0.00017863663,0.00004086788,0.00084024237,0.00004159453,0.0002482869,0.000019018347,0.00020423037,0.00007980217],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[8.723439e-7,0.000006253831,0.48428944,0.0000042954252,0.000005324646,0.000019431234,0.000059027614,2.9298678e-7,2.702182e-8,0.51506734,0.00019072433,0.00035701183],"study_design_scores_gemma":[0.00017553968,0.000005370786,0.7883596,0.0000031846869,5.1061767e-7,0.0000026293283,0.000015035563,0.00026929114,4.5761755e-7,0.096146494,0.114816464,0.00020542806],"about_ca_topic_score_codex":0.99995404,"about_ca_topic_score_gemma":0.9999755,"teacher_disagreement_score":0.41892081,"about_ca_system_score_codex":0.0042256336,"about_ca_system_score_gemma":0.010914949,"threshold_uncertainty_score":0.9999514},"labels":[],"label_agreement":null},{"id":"W4213282661","doi":"10.55365/1923.x2021.19.22","title":"The Impact of Information and Communication Technology on Decent Employment Opportunities in Vietnam","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Business; Context (archaeology); Work (physics); Sustainable development; Index (typography); Information technology; Economic growth; Marketing; Labour economics; Economics; Engineering; Political science","score_opus":0.03514692872119194,"score_gpt":0.2622282162813144,"score_spread":0.22708128756012244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213282661","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8272449,0.16824412,0.00002070766,0.0023029116,0.000028912955,0.00015410359,0.00014239024,0.0000017747734,0.0018602004],"genre_scores_gemma":[0.45081577,0.5489598,0.000112594935,0.000077524535,0.0000013655236,0.000009548433,0.000010747561,0.0000021828664,0.000010483715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990051,0.000018638004,0.0007723883,0.00010284489,0.000008698389,0.00009232503],"domain_scores_gemma":[0.9989377,0.00006931781,0.0005920777,0.00033648466,0.00005102409,0.000013371274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007951356,0.00007765404,0.0003637758,0.00007193669,0.00004304787,0.000019089535,0.00010945539,0.000044970282,0.000005543386],"category_scores_gemma":[0.000117987416,0.00006754191,0.000053635456,0.00010948241,0.000087021486,0.00013217864,0.00008266673,0.000070373586,0.0000011273833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000704663,0.00002809071,0.010640128,0.00025257995,0.000015134346,1.7128706e-7,0.000034983714,0.000046624435,2.875002e-7,0.93417484,0.0000218028,0.05477831],"study_design_scores_gemma":[0.001335144,0.00037600522,0.20385097,0.0041250894,0.000015364601,0.000014769459,0.0002534731,0.011048493,0.00006046995,0.5481806,0.23022234,0.00051730144],"about_ca_topic_score_codex":0.00008273428,"about_ca_topic_score_gemma":0.000046333196,"teacher_disagreement_score":0.38599426,"about_ca_system_score_codex":0.00005283769,"about_ca_system_score_gemma":0.000044821867,"threshold_uncertainty_score":0.2754279},"labels":[],"label_agreement":null},{"id":"W4220794433","doi":"10.1142/s2424786321410139","title":"Impact of AI on employment in manufacturing industry","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Engineering","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Manufacturing; Matching (statistics); Industrial Revolution; Industrial organization; Competition (biology); Construct (python library); Business; Manufacturing engineering; Computer science; Engineering; Marketing; Political science","score_opus":0.014419385831590047,"score_gpt":0.2502756329406266,"score_spread":0.23585624710903655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220794433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971507,0.00007784082,0.0010322842,0.00021742951,0.0010717672,0.000032994063,0.00013225304,0.0000031177528,0.00028159763],"genre_scores_gemma":[0.9996242,0.000013401331,0.000106212974,0.00007019062,0.00014609404,0.0000027995413,0.0000025043967,0.000009924946,0.000024684765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990354,0.000008174817,0.0006409001,0.00008803117,0.00011305804,0.00011439197],"domain_scores_gemma":[0.99945605,0.00003531562,0.00035801137,0.00007292333,0.000043743774,0.000033950575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005517085,0.00007926414,0.0002232468,0.00048443367,0.000014702562,0.000015737569,0.00029863097,0.00004697495,0.00018736882],"category_scores_gemma":[0.00014347387,0.00008874965,0.00015489831,0.00010240106,0.0000055723062,0.00011264922,0.000072277246,0.00060419436,0.0000013795036],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016844235,0.00025773683,0.21680816,0.000007468201,0.00009610593,0.0001339193,0.00021324221,0.6937796,0.00012908204,0.086131215,0.000071069524,0.0022039823],"study_design_scores_gemma":[0.0010006926,0.00031335908,0.9793676,0.00005171141,0.0000020123418,0.000033998705,0.000008075911,0.0052792067,0.00029341932,0.010748189,0.0027397173,0.00016201907],"about_ca_topic_score_codex":0.00017711552,"about_ca_topic_score_gemma":0.0000033388544,"teacher_disagreement_score":0.7625595,"about_ca_system_score_codex":0.00055644766,"about_ca_system_score_gemma":0.00005850728,"threshold_uncertainty_score":0.36191058},"labels":[],"label_agreement":null},{"id":"W4220861451","doi":"10.3138/cpp.2020-100","title":"Skill Mismatch of Indigenous Peoples in Canada: Findings from PIAAC","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Indigenous; Numeracy; Demographic economics; Welfare; Odds; Wage; Demography; Vulnerability (computing); Literacy; Psychology; Gerontology; Sociology; Political science; Economics; Medicine; Labour economics; Economic growth; Logistic regression","score_opus":0.015100151378842155,"score_gpt":0.19265289040860717,"score_spread":0.177552739029765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220861451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755394,0.0004599165,0.0000066406415,0.0066851913,0.0002816854,0.00014120717,0.0117446715,0.0000070254473,0.0051342947],"genre_scores_gemma":[0.99712586,0.00004924801,0.00002885257,0.0021460564,0.00006276368,0.000036709087,0.00021070692,0.000024644589,0.00031515976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982869,0.00003990389,0.0006131692,0.00032528877,0.000071777824,0.00066297676],"domain_scores_gemma":[0.9988725,0.00009232953,0.00020766951,0.000393385,0.000028198392,0.00040588834],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005105762,0.00013703623,0.0003923194,0.00089650496,0.00016831301,0.000043929656,0.0005613284,0.000053669843,0.0012789042],"category_scores_gemma":[0.0003749856,0.00019083016,0.00006030261,0.0010449562,0.000029197257,0.000114256356,0.000104018916,0.00023184801,0.000009844843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000002557619,0.000025179803,0.73576427,0.000011673551,0.00002740202,0.000025365312,0.0022183638,0.00003634469,0.0000014458421,0.26010484,0.0012034426,0.0005791378],"study_design_scores_gemma":[0.00044222188,0.000019525929,0.8894716,0.000004335762,0.0000018356601,0.0000036487786,0.0011138942,0.00033913963,0.0000035682524,0.048284262,0.059980713,0.0003352576],"about_ca_topic_score_codex":0.9999187,"about_ca_topic_score_gemma":0.99989736,"teacher_disagreement_score":0.21182059,"about_ca_system_score_codex":0.005671731,"about_ca_system_score_gemma":0.014562792,"threshold_uncertainty_score":0.9996341},"labels":[],"label_agreement":null},{"id":"W4223572232","doi":"10.29173/cjfy29839","title":"Examining the Phenomenon of Sharenting","year":2022,"lang":"fr","type":"article","venue":"Canadian Journal of Family and Youth / Le Journal Canadien de Famille et de la Jeunesse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phenomenon; Epistemology; Philosophy","score_opus":0.03542020475523701,"score_gpt":0.2293303294988264,"score_spread":0.19391012474358937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223572232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9270668,0.05603117,0.0004532237,0.0028568988,0.002481135,0.000102928156,0.0019047972,0.000002271103,0.009100772],"genre_scores_gemma":[0.9938586,0.0029118087,0.0002956431,0.0013632588,0.0004025575,0.0000031965924,0.0000109009425,0.000054192948,0.0010998587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961569,0.0009721447,0.00150503,0.0002508369,0.00016524547,0.0009498634],"domain_scores_gemma":[0.9959307,0.00051199016,0.00198117,0.0002630967,0.0002602304,0.0010528336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012057228,0.00028220288,0.0007439654,0.00071931013,0.0012050399,0.00040881624,0.0008096531,0.00017674406,0.00020520223],"category_scores_gemma":[0.00078598264,0.00030149426,0.0002568464,0.00057449745,0.00035041434,0.00038394693,0.00010797082,0.0019921125,7.6513487e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018495682,0.00017729739,0.5322548,0.00026001182,0.00094748515,0.0037459119,0.12866256,0.015041233,0.000059534457,0.3033271,0.0023652075,0.0129738925],"study_design_scores_gemma":[0.004148552,0.0013875917,0.44320413,0.0007625908,0.00036867254,0.011557448,0.26877674,0.0036185847,0.000009622542,0.06095401,0.20391941,0.0012926272],"about_ca_topic_score_codex":0.13176227,"about_ca_topic_score_gemma":0.051179755,"teacher_disagreement_score":0.2423731,"about_ca_system_score_codex":0.0015351574,"about_ca_system_score_gemma":0.004807752,"threshold_uncertainty_score":0.99994373},"labels":[],"label_agreement":null},{"id":"W4223630945","doi":"10.1086/720397","title":"Minimum Wage and Individual Worker Productivity: Evidence from a Large US Retailer","year":2022,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Minimum wage; Productivity; Labour economics; Economics; Wage; Welfare; Efficiency wage; Low wage; Work (physics)","score_opus":0.04363234242029568,"score_gpt":0.24920166601078486,"score_spread":0.20556932359048918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223630945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98287743,0.0019970196,0.0004711128,0.0064076283,0.0005408539,0.00012146707,0.00067901914,0.000008143661,0.0068973294],"genre_scores_gemma":[0.9971798,0.000026882975,0.00047402992,0.0015726078,0.00047576378,0.000011595502,0.000007564387,0.000020707495,0.00023106836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979565,0.000111360954,0.0010126103,0.0003524279,0.00008039996,0.00048667128],"domain_scores_gemma":[0.9983535,0.00038091713,0.00063585566,0.000289155,0.00006105314,0.00027954183],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026286666,0.00015854239,0.00057450635,0.00019980714,0.0001650347,0.0001466249,0.00033602995,0.00006718223,0.0013445808],"category_scores_gemma":[0.0005263673,0.00016980847,0.0001645538,0.00014380693,0.000086737644,0.0005594477,0.00035243368,0.0005655856,0.00002061896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007410977,0.00019656688,0.33908886,0.000015592947,0.00015626819,0.000047945483,0.000285107,0.0000074243994,0.000005036273,0.6593511,0.00050794956,0.00026403953],"study_design_scores_gemma":[0.0011918849,0.00028812117,0.33346596,0.000034452027,0.000049646398,0.000080867794,0.0003524677,0.0008407117,0.000019673673,0.553555,0.10973279,0.00038841722],"about_ca_topic_score_codex":0.00015844467,"about_ca_topic_score_gemma":0.000010575236,"teacher_disagreement_score":0.10922485,"about_ca_system_score_codex":0.00022895238,"about_ca_system_score_gemma":0.00009565075,"threshold_uncertainty_score":0.99956834},"labels":[],"label_agreement":null},{"id":"W4225680545","doi":"10.22495/cgobrv6i1p14","title":"The impact of active labour policies on economic growth","year":2022,"lang":"en","type":"article","venue":"Corporate Governance and Organizational Behavior Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Unemployment; Economics; Order (exchange); Agency (philosophy); Unemployment rate; Descriptive statistics; Active labour market policies; Gross domestic product; Quarter (Canadian coin); Workfare; Labour economics; Economic growth; Welfare; Sociology; Finance; Statistics","score_opus":0.029990674115949228,"score_gpt":0.25730794022647063,"score_spread":0.22731726611052142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225680545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97081816,0.022279695,0.000011004893,0.0009554687,0.00017396398,0.00033221993,0.00468034,0.000010510886,0.00073863176],"genre_scores_gemma":[0.93515354,0.0639038,0.000010269752,0.00032761152,0.000031845913,0.000050056733,0.00007362414,0.000020147014,0.00042912504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990521,0.000039832597,0.0004780656,0.00022851481,0.000060723083,0.0001407844],"domain_scores_gemma":[0.998485,0.00006684139,0.001109381,0.0002204647,0.00007579529,0.000042480708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004305883,0.00012976475,0.0003248676,0.000025215237,0.00027516752,0.000031039217,0.00023710947,0.000021394768,0.00070045074],"category_scores_gemma":[0.00011357353,0.00010704941,0.00009256879,0.00033998277,0.00006382517,0.00009955667,0.00012669776,0.00012335015,0.000036930564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012363983,0.000053363532,0.2650587,0.00004422469,0.000021724007,0.0000014181926,0.000022754319,0.000023543571,0.000005789937,0.73355913,0.00058876624,0.0006082518],"study_design_scores_gemma":[0.00022516826,0.00012715864,0.9467832,0.000049584472,0.000014826751,0.0000085491865,0.000011664247,0.000028367162,0.000020307321,0.046459846,0.0060849935,0.0001863371],"about_ca_topic_score_codex":0.0005310286,"about_ca_topic_score_gemma":0.000013189465,"teacher_disagreement_score":0.6870993,"about_ca_system_score_codex":0.00027124208,"about_ca_system_score_gemma":0.00009677434,"threshold_uncertainty_score":0.76694447},"labels":[],"label_agreement":null},{"id":"W4225927390","doi":"10.1038/s41562-022-01470-z","title":"Within-job gender pay inequality in 15 countries","year":2022,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"European Social Fund; European Commission; Ministerio de Ciencia e Innovación; Alexander von Humboldt-Stiftung; Javna Agencija za Raziskovalno Dejavnost RS; Agencia Estatal de Investigación; Norges Forskningsråd; Agence Nationale de la Recherche; National Science Foundation","keywords":"Inequality; Gender pay gap; Pay Equity; Demographic economics; Labour economics; Gender inequality; Economics; Psychology; Mathematics; Wage","score_opus":0.032638787438586815,"score_gpt":0.27106355372847785,"score_spread":0.23842476628989104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225927390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898497,0.0010019467,0.00004601575,0.00045539046,0.0010819199,0.00026214944,0.0011548182,0.000064994354,0.0060830545],"genre_scores_gemma":[0.99664134,0.000016219086,0.00009896845,0.001275348,0.00010855477,0.00008382754,0.00015522061,0.00004085263,0.0015796656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977977,0.000112845504,0.00090913486,0.0006212588,0.00015867001,0.00040039045],"domain_scores_gemma":[0.9988113,0.000046861012,0.00042409974,0.00058149185,0.000052816584,0.00008342388],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026164486,0.00023136345,0.00047584943,0.00031015134,0.00038156018,0.000098758646,0.00049984455,0.00026361344,0.002273691],"category_scores_gemma":[0.00008486651,0.00023991703,0.00013044152,0.00042862818,0.000058825353,0.00018204776,0.00029207495,0.0017489626,0.000040266834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014851703,0.000109151646,0.58313686,0.000013707767,0.000009926945,0.000028338396,0.00058737455,0.00005531798,0.0000068666072,0.41571197,0.00031597112,0.000009635578],"study_design_scores_gemma":[0.00076730765,0.00005101341,0.83523613,0.000004042436,0.000007289224,0.0000057704697,0.00019555789,0.00010832556,0.000010242113,0.15291853,0.0102913575,0.00040440573],"about_ca_topic_score_codex":0.0009555579,"about_ca_topic_score_gemma":0.000619948,"teacher_disagreement_score":0.26279345,"about_ca_system_score_codex":0.00043745709,"about_ca_system_score_gemma":0.00004784544,"threshold_uncertainty_score":0.9986384},"labels":[],"label_agreement":null},{"id":"W4226299503","doi":"10.2139/ssrn.4068858","title":"A Labor Market Sorting Model of Hysteresis and Scarring","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hysteresis; Sorting; Economics; Computer science; Physics; Condensed matter physics","score_opus":0.015571648228920045,"score_gpt":0.20889330458498795,"score_spread":0.1933216563560679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226299503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877965,0.0037924636,0.0043077543,0.00038756864,0.00009982251,0.00006720521,0.00011981139,0.000009597799,0.0034192773],"genre_scores_gemma":[0.99707836,0.0013254378,0.00020004172,0.00008184191,0.000040049683,0.000007073893,0.0000017295838,0.000020390871,0.0012450608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981898,0.000045836514,0.0005881883,0.00020587682,0.00006371331,0.00090655545],"domain_scores_gemma":[0.9991943,0.000038603826,0.0005342038,0.000153151,0.000030029163,0.000049694998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041511883,0.00010068333,0.0002816637,0.00016264291,0.00026324394,0.000036895963,0.00021232234,0.000029200137,0.00010041947],"category_scores_gemma":[0.00008952636,0.000117139985,0.00008896813,0.00017860954,0.000023675606,0.00013241367,0.00014989526,0.0008017693,0.0000010338058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049491777,0.000041384013,0.08197467,0.000018756169,0.000101590405,0.0000011755197,0.00021221375,0.0013012518,0.00008016108,0.9140931,0.000011808963,0.0021144021],"study_design_scores_gemma":[0.0004747426,0.00009205362,0.0025867082,0.0000054459642,0.000008565982,0.000043963297,0.00067732803,0.08990142,0.0000062384465,0.9058567,0.00019320825,0.00015362329],"about_ca_topic_score_codex":0.0001469516,"about_ca_topic_score_gemma":0.0001344876,"teacher_disagreement_score":0.088600166,"about_ca_system_score_codex":0.00043760485,"about_ca_system_score_gemma":0.00025859848,"threshold_uncertainty_score":0.477683},"labels":[],"label_agreement":null},{"id":"W4230262325","doi":"10.1108/s0195-631020150000031014","title":"List of Contributors","year":2015,"lang":"en","type":"other","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"German; Publishing; Library science; Vocational education; Bulgarian; Sociology; Political science; Media studies; History; Law; Archaeology","score_opus":0.02615297246693618,"score_gpt":0.22773447909878633,"score_spread":0.20158150663185015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230262325","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011416072,0.0026411356,0.0004198894,0.00006612083,0.0005137965,0.00012832868,0.004282657,0.00006367837,0.9917702],"genre_scores_gemma":[0.019298457,0.00022019976,0.00029214297,0.000089286594,0.00016629203,0.00000448687,0.00017131952,0.00019340623,0.9795644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906266,0.0000099902,0.00048566458,0.00025184837,0.000032097178,0.00015773758],"domain_scores_gemma":[0.9989007,0.000018665436,0.0005705321,0.00039953485,0.00003978454,0.000070777656],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055495475,0.000149866,0.00062333274,0.00020121985,0.0000073001884,0.000015502299,0.00020685617,0.00024545516,0.011745666],"category_scores_gemma":[0.00013869004,0.00015385529,0.00008990514,0.00014819781,0.00004812273,0.000020391612,0.00005589287,0.00008999313,0.0003423627],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021557446,0.00002601624,0.0022973414,0.0000331484,0.00004584902,9.626275e-7,0.0000074821132,1.1690122e-7,1.5236515e-7,0.51764345,0.479908,0.000035320907],"study_design_scores_gemma":[0.00025828677,0.000017370086,0.00012559531,0.000018968127,0.000003933264,2.4366457e-7,0.0000043389964,0.000036411926,8.3803116e-7,0.073993325,0.9253576,0.00018313137],"about_ca_topic_score_codex":0.0027157494,"about_ca_topic_score_gemma":0.00036280858,"teacher_disagreement_score":0.44544956,"about_ca_system_score_codex":0.000044920744,"about_ca_system_score_gemma":0.000028897364,"threshold_uncertainty_score":0.98915774},"labels":[],"label_agreement":null},{"id":"W4230706888","doi":"10.1108/s0195-631020150000031013","title":"Editorial Board","year":2015,"lang":"en","type":"paratext","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Publishing; German; Sociology; Social science; Library science; Political science; Geography; Pedagogy; Law","score_opus":0.031164885099326838,"score_gpt":0.249613263729057,"score_spread":0.21844837862973018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230706888","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001107162,0.0014276276,0.0006078687,0.0001937285,0.36069182,0.00012925215,0.0019080482,0.0000276439,0.6349033],"genre_scores_gemma":[0.002133294,0.0007724796,0.00030434487,0.00032767653,0.23500846,0.000031422154,0.0007014028,0.00008099714,0.7606399],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979632,0.000023531098,0.0008739186,0.0006519176,0.00009473131,0.00039269542],"domain_scores_gemma":[0.9984021,0.000046213514,0.0005243728,0.0006775879,0.00015884743,0.00019087177],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011668573,0.0003282155,0.0008776777,0.00019242015,0.00005468155,0.00018646305,0.00048404137,0.00076966523,0.016942116],"category_scores_gemma":[0.00017372998,0.00035134403,0.0002150909,0.00019258753,0.000045765733,0.00012631167,0.00017176665,0.0004959853,0.08831085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013155367,0.000033762662,0.00006961113,0.0000317914,0.00005143094,7.500803e-7,0.00002085706,0.000008243438,1.347024e-7,0.123881295,0.8758143,0.000074648175],"study_design_scores_gemma":[0.0003661994,0.000036270598,0.0000131729,0.000009436007,0.00000433317,2.922965e-7,0.000005202034,0.00008225678,5.1528684e-7,0.08711786,0.9119116,0.00045287347],"about_ca_topic_score_codex":0.001564188,"about_ca_topic_score_gemma":0.000051660256,"teacher_disagreement_score":0.12573662,"about_ca_system_score_codex":0.00026846223,"about_ca_system_score_gemma":0.00013201119,"threshold_uncertainty_score":0.99989384},"labels":[],"label_agreement":null},{"id":"W4232673999","doi":"10.32920/14663049.v1","title":"Job-Education Match &amp; Tenure Among Young Canadians: Evidence from the 1997 &amp; 2014 Labour Force Survey","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Workforce; Demographic economics; Labour economics; Higher education; Work (physics); Psychology; Business; Economics; Economic growth","score_opus":0.04879077984227816,"score_gpt":0.26324757688608963,"score_spread":0.21445679704381146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232673999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95539486,0.010230612,0.0107893925,0.00430536,0.004247651,0.000660354,0.010453526,0.00006723455,0.0038509886],"genre_scores_gemma":[0.9487091,0.004921848,0.0018330838,0.0019562216,0.0005168629,0.00016289574,0.0050674863,0.00008404626,0.036748514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99615055,0.00036641894,0.0013364918,0.0014240961,0.00014549335,0.0005769532],"domain_scores_gemma":[0.9948782,0.0009148661,0.0009968893,0.0025062226,0.0004003025,0.00030353494],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004185694,0.00051962904,0.00090434105,0.0001543534,0.00027813614,0.0011437308,0.0011907088,0.0008373787,0.0028854117],"category_scores_gemma":[0.0030027248,0.0004885044,0.00031736528,0.00041652404,0.00011629454,0.00036312273,0.0007392795,0.001430573,0.00036242642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012445754,0.000052116895,0.958378,0.00010545497,0.00016755359,0.00000265031,0.0012203297,0.00020784882,0.0000022454683,0.014383751,0.025303576,0.00016403386],"study_design_scores_gemma":[0.000109786946,0.0000040460995,0.9293533,0.00026680622,0.00002345656,0.0000022812978,0.00024484048,0.0003849665,8.1535194e-7,0.05064421,0.018291866,0.00067361665],"about_ca_topic_score_codex":0.9130155,"about_ca_topic_score_gemma":0.9221386,"teacher_disagreement_score":0.03626046,"about_ca_system_score_codex":0.00068292784,"about_ca_system_score_gemma":0.0009522276,"threshold_uncertainty_score":0.9998932},"labels":[],"label_agreement":null},{"id":"W4232677980","doi":"10.1007/978-94-6091-915-2_6","title":"Globalization, Knowledge, and The Myth of The Magnet Economy","year":2012,"lang":"en","type":"book-chapter","venue":"SensePublishers eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Prosperity; Capitalism; Knowledge economy; Globalization; Elite; Mythology; Capital (architecture); Human capital; Investment (military); Economic system; Economics; Political science; Economy; Market economy; Economic growth; Geography; Politics; History","score_opus":0.01592093070639182,"score_gpt":0.19406116603874526,"score_spread":0.17814023533235346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232677980","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028519344,0.0063310256,0.00007454652,0.0012557121,0.00093972526,0.0005142588,0.00035921292,0.000023025475,0.9902173],"genre_scores_gemma":[0.14435624,0.0003396681,0.00007329828,0.002591507,0.000496228,0.000020664178,0.000052840147,0.00011418311,0.85195535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998286,0.000047661797,0.00091718877,0.00041418278,0.000052938693,0.000282017],"domain_scores_gemma":[0.99765855,0.00015696727,0.0010335355,0.00090310874,0.0001573594,0.00009045353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014477487,0.00032905105,0.0006951632,0.00011895407,0.00015978381,0.00023131816,0.0004891322,0.00034675375,0.0003561214],"category_scores_gemma":[0.000109971385,0.00023212298,0.000289071,0.000040967658,0.00070591306,0.00016013323,0.0003203993,0.00034432748,0.000033029497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019845173,0.000008748927,0.00036952234,0.00007117645,0.00012771347,3.3363216e-7,0.00039458412,0.0000010012016,8.729013e-8,0.9844364,0.012796865,0.0017737471],"study_design_scores_gemma":[0.00046049195,0.0000069580487,0.00017120922,0.000021225938,0.000030083069,0.0000035401706,0.000012072128,0.00008641373,7.439839e-7,0.44340855,0.5556171,0.00018160703],"about_ca_topic_score_codex":0.00015963535,"about_ca_topic_score_gemma":0.00006978966,"teacher_disagreement_score":0.5428202,"about_ca_system_score_codex":0.00009494184,"about_ca_system_score_gemma":0.000075549426,"threshold_uncertainty_score":0.9465701},"labels":[],"label_agreement":null},{"id":"W4233122093","doi":"10.4337/9781781007693.00005","title":"Preface and Acknowledgements","year":2008,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universiteit van Amsterdam; European Commission","keywords":"Computer science","score_opus":0.03591314160184667,"score_gpt":0.21282933456986325,"score_spread":0.17691619296801658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233122093","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013115081,0.0028513982,0.00019911627,0.00027588254,0.0020835334,0.0003528343,0.0006236999,0.00014083329,0.9921612],"genre_scores_gemma":[0.015517231,0.00093634723,0.000583233,0.000570055,0.00092736376,0.000021069949,0.00014864236,0.00016920613,0.98112684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997509,0.00001589748,0.0009421411,0.0009516206,0.00012772594,0.00045358515],"domain_scores_gemma":[0.9979582,0.00008581126,0.0007371598,0.000766249,0.00022345483,0.00022915243],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010311829,0.0004868779,0.000827803,0.000361402,0.00022599981,0.0010730944,0.00059138075,0.0006630191,0.00089890236],"category_scores_gemma":[0.000508603,0.00057323714,0.00020842516,0.000029097877,0.00015914394,0.0006064422,0.0005055449,0.00085336325,0.0006786762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017267655,0.000021137606,0.0009914936,0.00013612852,0.00025650134,0.000028534963,0.0005460089,8.5684644e-7,5.827836e-7,0.8970063,0.09101086,0.009984326],"study_design_scores_gemma":[0.00033535363,0.000028578504,0.000463351,0.000072979594,0.0000124311655,0.000005857587,0.0000034001762,0.000055172066,0.0000014034772,0.21783634,0.78066003,0.0005251087],"about_ca_topic_score_codex":0.00007547834,"about_ca_topic_score_gemma":0.00007828974,"teacher_disagreement_score":0.68964916,"about_ca_system_score_codex":0.00021327542,"about_ca_system_score_gemma":0.00007723073,"threshold_uncertainty_score":0.9999639},"labels":[],"label_agreement":null},{"id":"W4233643181","doi":"10.3138/cpp.36.2.159","title":"Another Look at the Francophone Wage Gap in Canada: Public and Private Sectors, Quebec and Outside Quebec","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Private sector; Public sector; Wage; French; Labour economics; Demographic economics; Economics; Business; Economic growth; Economy; Geography","score_opus":0.015739976448914877,"score_gpt":0.19190703401377388,"score_spread":0.176167057564859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233643181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94126683,0.00064621965,0.000008211676,0.04712008,0.00044147667,0.00024689306,0.0009421763,0.000013348431,0.009314739],"genre_scores_gemma":[0.9880628,0.000093560935,0.000016972648,0.0065008802,0.00024105831,0.000028732546,0.00003699631,0.000041284806,0.004977728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980365,0.00004543588,0.0004998554,0.0004857469,0.000058535323,0.00087393227],"domain_scores_gemma":[0.9983813,0.0000959146,0.00019404135,0.0006090093,0.000037858987,0.0006818692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007997375,0.00023708184,0.00037269827,0.0005447856,0.00025204336,0.00034894806,0.00035519703,0.0001626576,0.00069873093],"category_scores_gemma":[0.00052027963,0.00022443807,0.000039970513,0.00067797647,0.00021405,0.0003293891,0.00012720484,0.0003996645,0.000025977964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023287732,0.000008378337,0.56451994,0.000014042217,0.000024818328,0.000015790212,0.00022311127,4.647085e-7,0.0000151531995,0.42651197,0.002761733,0.0059022414],"study_design_scores_gemma":[0.00035840907,0.000004188613,0.6544617,0.0000035691028,0.0000010270984,0.000008212332,0.000048891467,0.00021949656,0.0000030383637,0.007194517,0.33743328,0.0002637053],"about_ca_topic_score_codex":0.99990374,"about_ca_topic_score_gemma":0.9999986,"teacher_disagreement_score":0.41931745,"about_ca_system_score_codex":0.0022061712,"about_ca_system_score_gemma":0.006220012,"threshold_uncertainty_score":0.9994138},"labels":[],"label_agreement":null},{"id":"W4234237776","doi":"10.32920/14663049","title":"Job-Education Match &amp; Tenure Among Young Canadians: Evidence from the 1997 &amp; 2014 Labour Force Survey","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Workforce; Demographic economics; Labour economics; Higher education; Work (physics); Economics; Business; Psychology; Economic growth","score_opus":0.04879077984227816,"score_gpt":0.26324757688608963,"score_spread":0.21445679704381146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234237776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95539486,0.010230612,0.0107893925,0.00430536,0.004247651,0.000660354,0.010453526,0.00006723455,0.0038509886],"genre_scores_gemma":[0.9487091,0.004921848,0.0018330838,0.0019562216,0.0005168629,0.00016289574,0.0050674863,0.00008404626,0.036748514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99615055,0.00036641894,0.0013364918,0.0014240961,0.00014549335,0.0005769532],"domain_scores_gemma":[0.9948782,0.0009148661,0.0009968893,0.0025062226,0.0004003025,0.00030353494],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004185694,0.00051962904,0.00090434105,0.0001543534,0.00027813614,0.0011437308,0.0011907088,0.0008373787,0.0028854117],"category_scores_gemma":[0.0030027248,0.0004885044,0.00031736528,0.00041652404,0.00011629454,0.00036312273,0.0007392795,0.001430573,0.00036242642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012445754,0.000052116895,0.958378,0.00010545497,0.00016755359,0.00000265031,0.0012203297,0.00020784882,0.0000022454683,0.014383751,0.025303576,0.00016403386],"study_design_scores_gemma":[0.000109786946,0.0000040460995,0.9293533,0.00026680622,0.00002345656,0.0000022812978,0.00024484048,0.0003849665,8.1535194e-7,0.05064421,0.018291866,0.00067361665],"about_ca_topic_score_codex":0.9130155,"about_ca_topic_score_gemma":0.9221386,"teacher_disagreement_score":0.03626046,"about_ca_system_score_codex":0.00068292784,"about_ca_system_score_gemma":0.0009522276,"threshold_uncertainty_score":0.9998932},"labels":[],"label_agreement":null},{"id":"W4234290156","doi":"10.5430/rwe.v2n124","title":"Factors Affecting Job Opportunities for University Graduates in China---the Evidence from University Graduates in Beijing","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Beijing; China; Medical education; Political science; Medicine","score_opus":0.37727570118979004,"score_gpt":0.3125850424561259,"score_spread":0.06469065873366414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234290156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838422,0.00029184212,0.00010219355,0.0015898425,0.00011166,0.00054246496,0.00015297218,0.000017731629,0.013349082],"genre_scores_gemma":[0.9981548,0.0005551605,0.00021581794,0.000018662733,0.000032114887,0.0000057031866,0.000017312377,0.00001810116,0.0009822876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979193,0.00031062154,0.00047456592,0.0005791037,0.000051481664,0.00066492363],"domain_scores_gemma":[0.9973113,0.0019420275,0.00018937275,0.00039696676,0.00004984724,0.00011050878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004885891,0.00018401342,0.00044176946,0.0013290179,0.00023583796,0.000087253575,0.0007182926,0.00008300522,0.00012362486],"category_scores_gemma":[0.00035711753,0.00019996481,0.00010880356,0.001029482,0.00020317723,0.0008656172,0.0003072113,0.0005817192,0.000011566141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007604342,0.000064258675,0.9083805,0.000043917702,0.000020182732,0.00003742316,0.001898819,0.00004969273,0.0000011942278,0.088849604,0.00003931222,0.00053906784],"study_design_scores_gemma":[0.00066515023,0.000041892283,0.87899494,0.00018759024,0.0000025615418,1.8513887e-7,0.005974675,0.004016634,0.000024970017,0.107106626,0.002695712,0.0002890565],"about_ca_topic_score_codex":0.034353077,"about_ca_topic_score_gemma":0.05049309,"teacher_disagreement_score":0.02938554,"about_ca_system_score_codex":0.0008618196,"about_ca_system_score_gemma":0.000096871576,"threshold_uncertainty_score":0.97207725},"labels":[],"label_agreement":null},{"id":"W4235869465","doi":"10.33423/ajm.v19i4.2392","title":"Non-Cognitive Skills: How Much Do They Matter for Earnings in Canada?","year":2019,"lang":"en","type":"article","venue":"American Journal of Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Conscientiousness; Agreeableness; Big Five personality traits; Neuroticism; Wage; Earnings; Non cognitive; Extraversion and introversion; Psychology; Cognition; Cognitive skill; Economics; Demographic economics; Personality; Labour economics; Social psychology","score_opus":0.00564973084098779,"score_gpt":0.19780043345463583,"score_spread":0.19215070261364803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235869465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98523504,0.00005558485,0.0013235828,0.001928553,0.00031962534,0.0002628538,0.000055198765,0.0000015403311,0.010818001],"genre_scores_gemma":[0.9972084,0.00011506636,0.0007806136,0.0010928406,0.000042506705,0.000010651242,0.0000030990866,0.000019095756,0.0007277245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893975,0.000019447309,0.0005026119,0.00020406037,0.00007080103,0.00026335064],"domain_scores_gemma":[0.99873483,0.00009519195,0.0008857558,0.00015423451,0.00006570649,0.0000642781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008500121,0.000119786964,0.0004491274,0.00021970262,0.000022264969,0.000054614866,0.00023794653,0.000015025614,0.00014188552],"category_scores_gemma":[0.000028528446,0.00011825268,0.00010118521,0.00017346552,0.000022492175,0.00013133138,0.000057098165,0.00013872853,0.000032781212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008345053,0.000075370845,0.97843784,0.00005570147,0.00019700911,0.000026722688,0.00040954203,0.000094617266,9.43665e-7,0.006983224,0.0007672211,0.012868358],"study_design_scores_gemma":[0.001691311,0.00025596,0.9676972,0.000115669856,0.000020123422,0.0000052108658,0.004685443,0.00041071765,0.0000059198273,0.010183156,0.014614064,0.00031520007],"about_ca_topic_score_codex":0.07274834,"about_ca_topic_score_gemma":0.025471576,"teacher_disagreement_score":0.04727676,"about_ca_system_score_codex":0.00034566576,"about_ca_system_score_gemma":0.000055987213,"threshold_uncertainty_score":0.992311},"labels":[],"label_agreement":null},{"id":"W4235939248","doi":"10.3138/cpp.37.2.239","title":"Ten Years After: Sex and Salaries at a Canadian University","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Salary; Wage; Gender pay gap; Demographic economics; Gender gap; Economics; Demography; Labour economics; Sociology","score_opus":0.02202253169569831,"score_gpt":0.17561008976985767,"score_spread":0.15358755807415936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235939248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83252573,0.00025732192,0.000008097033,0.005021536,0.00011398875,0.00010506766,0.0025363432,0.000021381291,0.1594105],"genre_scores_gemma":[0.99042434,0.00008608629,0.0000694188,0.001947816,0.00006832762,0.00000274137,0.000028061675,0.000018395805,0.0073548397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988559,0.00001964008,0.00017611183,0.00030007653,0.000019924733,0.00062834384],"domain_scores_gemma":[0.99816316,0.000011768895,0.00006657107,0.00031718996,0.00002699121,0.0014142994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002997369,0.00011840989,0.00019544433,0.0009603677,0.00019523021,0.00008872583,0.00023500896,0.00013546267,0.00094125496],"category_scores_gemma":[0.00012809015,0.00016299794,0.000045627374,0.0004135493,0.00013096894,0.00023529054,0.00006302068,0.000103763705,0.00015340201],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002560443,0.0000036685897,0.3966198,0.0000042282577,0.000022043367,0.00008603618,0.00057187537,2.8046621e-8,5.4551307e-8,0.6006656,0.00077985914,0.0012442041],"study_design_scores_gemma":[0.00012822238,0.000008546321,0.56541735,0.0000014884846,0.0000019163217,0.000007708552,0.00004436546,0.00003562994,1.7036562e-7,0.018661225,0.4155276,0.00016576155],"about_ca_topic_score_codex":0.986556,"about_ca_topic_score_gemma":0.99419165,"teacher_disagreement_score":0.5820044,"about_ca_system_score_codex":0.001460377,"about_ca_system_score_gemma":0.001557617,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W4236105664","doi":"10.22215/etd/2013-09497","title":"Three essays in labour economics : an application of mixed methods research to understanding of the employment status of Aboriginal workers in Canada","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Heritage; University of Ottawa; Carleton University; Statistics Canada; Library and Archives Canada","funders":"","keywords":"Political science; Sociology; Humanities; Art","score_opus":0.07591189176867448,"score_gpt":0.3607175953865843,"score_spread":0.28480570361790986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236105664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989861,0.00012931907,0.004283072,0.00011122559,0.00034810195,0.00078775286,0.00044282133,0.000002091023,0.0040345965],"genre_scores_gemma":[0.9961206,0.00023949819,0.0032198192,0.000013688057,0.0000112270545,0.00008818914,0.00009590673,0.00002825167,0.0001828583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974474,0.00014551602,0.0014642976,0.0004290866,0.000102910395,0.00041080496],"domain_scores_gemma":[0.99800044,0.0002931541,0.0008529582,0.0006266349,0.0001333857,0.00009345382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032213111,0.00017541638,0.00071002153,0.0005721316,0.000032468448,0.0000200523,0.0005062507,0.00016729094,0.00006878389],"category_scores_gemma":[0.00012363779,0.000172717,0.000066085944,0.0009197155,0.000040167284,0.0001020387,0.000050110975,0.00032098684,8.037135e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005736283,0.00005443592,0.43623888,0.00013119642,0.000022501952,9.946727e-8,0.00032726678,0.00092215196,0.000024324556,0.5603383,0.0000110695755,0.0018723763],"study_design_scores_gemma":[0.00032513886,0.00004164128,0.70057917,0.0000800527,0.0000037710831,3.8654566e-8,0.0049234545,0.0039921915,0.0002879846,0.2892326,0.00033877286,0.00019520939],"about_ca_topic_score_codex":0.97986895,"about_ca_topic_score_gemma":0.9947935,"teacher_disagreement_score":0.27110574,"about_ca_system_score_codex":0.0027122383,"about_ca_system_score_gemma":0.0014147133,"threshold_uncertainty_score":0.7092409},"labels":[],"label_agreement":null},{"id":"W4237505582","doi":"10.1016/s1365-6937(03)00342-3","title":"Weak markets force lay-offs at Tamfelt","year":2003,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Severance; Notice; Affect (linguistics); Labour economics; Economics; Hazard; Business; Law; Political science; Sociology","score_opus":0.029150716451860587,"score_gpt":0.23546016918309737,"score_spread":0.20630945273123677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237505582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65349644,0.00022582508,0.00314502,0.00067785435,0.0005049884,0.00016830424,0.00037341943,0.000054951663,0.3413532],"genre_scores_gemma":[0.9608448,0.000037722133,0.00027569546,0.0003774094,0.0001344418,0.000025183015,0.00015287737,0.000022764605,0.038129073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826026,0.00008407338,0.00076683454,0.00047829488,0.00007441556,0.00033609362],"domain_scores_gemma":[0.9987734,0.000077737,0.0004300407,0.00050832256,0.00006478992,0.00014572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011769662,0.00019855003,0.00035205152,0.00016753678,0.00024746772,0.000119113596,0.00019494073,0.00045194762,0.0062334747],"category_scores_gemma":[0.0004074668,0.00022928216,0.00015263374,0.0005508866,0.000047926966,0.00030578705,0.00003458298,0.00041889955,0.00043690475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020020858,0.000086910375,0.37640083,0.00002026972,0.0000970207,0.000006241437,0.00006459453,0.00026077675,0.00010298989,0.6168564,0.005951534,0.0001324383],"study_design_scores_gemma":[0.0017231432,0.0000902313,0.24236196,0.000040994342,0.000058721507,0.000037869864,0.00028475217,0.008668978,0.0011825762,0.14133014,0.6027968,0.0014238604],"about_ca_topic_score_codex":0.00009685081,"about_ca_topic_score_gemma":0.000102910366,"teacher_disagreement_score":0.5968452,"about_ca_system_score_codex":0.00020016532,"about_ca_system_score_gemma":0.0000393995,"threshold_uncertainty_score":0.994675},"labels":[],"label_agreement":null},{"id":"W4237928464","doi":"10.1108/s0195-6310201531","title":"Gender Segregation in Vocational Education","year":2015,"lang":"en","type":"book","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Psychology; Sociology; Political science; Gender studies; Mathematics education; Pedagogy","score_opus":0.053751910695549916,"score_gpt":0.25441031323121616,"score_spread":0.20065840253566625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237928464","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056471536,0.0012466621,0.0006229322,0.00028738036,0.00084490934,0.00023291426,0.00021869119,0.000024242301,0.99595755],"genre_scores_gemma":[0.034591798,0.00013702438,0.00086258235,0.0006037358,0.0003085699,0.00004345579,0.001566594,0.000040602154,0.96184564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986797,0.000013675367,0.00068792753,0.0004055809,0.00005948083,0.0001536563],"domain_scores_gemma":[0.9990532,0.00003339012,0.0003898538,0.00032694478,0.00012838369,0.00006827074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093969813,0.00017521187,0.00033567433,0.00036276664,0.000021939326,0.000055560227,0.00017566414,0.00030321602,0.0009867561],"category_scores_gemma":[0.00010630278,0.00021077532,0.000069291455,0.000118799915,0.000023487733,0.0001602717,0.000042258074,0.00022147386,0.0007757537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033986978,0.000059852464,0.0016225396,0.000036855865,0.000013297441,4.0932005e-7,0.00007555181,0.000006110785,4.4163713e-8,0.9631497,0.031395692,0.0036365343],"study_design_scores_gemma":[0.00013052428,0.000005647016,0.0063833287,0.000013240765,0.000002011815,7.5832236e-7,0.0000074641257,0.00029607126,9.859478e-8,0.741175,0.25178483,0.00020105862],"about_ca_topic_score_codex":0.00022550256,"about_ca_topic_score_gemma":0.00017328822,"teacher_disagreement_score":0.22197475,"about_ca_system_score_codex":0.000930001,"about_ca_system_score_gemma":0.0010103394,"threshold_uncertainty_score":0.99992645},"labels":[],"label_agreement":null},{"id":"W4238337350","doi":"10.1007/978-3-7908-2022-5_12","title":"The impact of unionization on the incidence of and sources of payment for training in Canada","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seniority; Payment; Training (meteorology); Nonunion; Variety (cybernetics); Human capital; Labour economics; Business; Control (management); Capital (architecture); Demographic economics; Economics; Economic growth; Political science; Medicine; Finance; Management; Geography; Law","score_opus":0.03887779386535668,"score_gpt":0.22488385933734098,"score_spread":0.18600606547198428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238337350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9128518,0.0012414423,0.00030656246,0.0003090253,0.00008020909,0.0005206539,0.0011064762,0.0000017832747,0.083582036],"genre_scores_gemma":[0.99548125,0.0017640479,0.000021080263,0.000022249493,0.000009110143,0.0000042177717,0.000008390558,0.000010145898,0.0026794777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913174,0.000007887449,0.00060967973,0.00012393021,0.000039837123,0.000086922286],"domain_scores_gemma":[0.9985088,0.00050927576,0.0007238719,0.0001881086,0.000054266195,0.0000156661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060418213,0.00009879047,0.00033238006,0.000060484897,0.000037566846,0.0000055855885,0.00013325328,0.00005285648,0.00003036565],"category_scores_gemma":[0.000115721814,0.000060725233,0.00006845167,0.000035062458,0.00006934982,0.000019534553,0.000026183001,0.000068753,6.8314584e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002768323,0.0000058314263,0.018980606,0.000030581214,0.0000582005,2.774552e-7,0.00042781903,0.0006601251,6.3601664e-7,0.977536,0.00005726928,0.002214923],"study_design_scores_gemma":[0.0011889345,0.0006667705,0.197179,0.00049681775,0.00002341667,0.0000036177212,0.000871144,0.04160164,0.00008694747,0.7494116,0.0077615306,0.00070861785],"about_ca_topic_score_codex":0.4442814,"about_ca_topic_score_gemma":0.39964002,"teacher_disagreement_score":0.22812448,"about_ca_system_score_codex":0.00015106134,"about_ca_system_score_gemma":0.00028301557,"threshold_uncertainty_score":0.61131495},"labels":[],"label_agreement":null},{"id":"W4239980776","doi":"10.1007/978-94-017-3368-7_23","title":"Workforce Education","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Workforce; Training (meteorology); Job training; Literacy; Medical education; Service (business); On-the-job training; Psychology; Pedagogy; Political science; Business; Medicine; Vocational education; Geography; Marketing","score_opus":0.03426309342836946,"score_gpt":0.22777634535034247,"score_spread":0.193513251921973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239980776","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000641659,0.0029857222,0.0012330931,0.00047461293,0.0012443387,0.00017490519,0.00014511598,0.00003949386,0.9936386],"genre_scores_gemma":[0.0034150006,0.0010255508,0.0007755594,0.0021671634,0.00018371118,0.000010103732,0.00010528593,0.00006291442,0.99225473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998722,0.0000035548208,0.0006164342,0.0004476369,0.000030752617,0.0001795886],"domain_scores_gemma":[0.9989051,0.000024283785,0.00041548617,0.00052324403,0.00004895446,0.000082897735],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035704,0.00023916033,0.00042367427,0.00016675865,0.000050546474,0.00006974047,0.00018089655,0.0003283071,0.0064652343],"category_scores_gemma":[0.000034735906,0.0002776853,0.00017317825,0.000032623277,0.000032436103,0.000076694756,0.000034281886,0.00022969944,0.0017630941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001821761,0.000018228362,0.0002514116,0.000016988008,0.000024492758,6.91041e-7,0.000008955156,8.8877016e-7,4.2991264e-8,0.9869257,0.008443128,0.0043076565],"study_design_scores_gemma":[0.0000388789,0.000006063811,0.000035264275,0.000014118938,0.0000028994173,9.55521e-7,0.0000011437193,0.000013153222,1.6765183e-7,0.4920982,0.5075949,0.00019428218],"about_ca_topic_score_codex":0.000047952155,"about_ca_topic_score_gemma":0.000016174485,"teacher_disagreement_score":0.49915174,"about_ca_system_score_codex":0.00015479013,"about_ca_system_score_gemma":0.000054736614,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W4240580112","doi":"10.55365/1923.x2021.19.36","title":"The Impact of Salaries on Direct Production Workers’ Productivity: A Case Study of Garment Enterprises in Vietnam","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Salary; Productivity; Welfare; Production (economics); Payment; Business; Labour economics; Wages and salaries; Order (exchange); Economics; Finance; Economic growth","score_opus":0.027069899719963195,"score_gpt":0.268940264016451,"score_spread":0.24187036429648778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240580112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390968,0.059321135,0.0000026517187,0.00028414043,0.00015371808,0.0005192671,0.000099570505,0.000001733786,0.00052099215],"genre_scores_gemma":[0.77870023,0.2211526,0.00003448869,0.0000100732905,0.00001629664,0.000028192611,0.0000024476653,0.000008344298,0.000047301168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983149,0.00006711604,0.0010676878,0.00038549706,0.000019838522,0.00014494169],"domain_scores_gemma":[0.99806917,0.000105935105,0.0011830395,0.000545798,0.00007851614,0.00001755817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015317496,0.00014236393,0.00080840447,0.000066332505,0.000052830626,0.000016765858,0.000103878876,0.000033443444,0.000005435831],"category_scores_gemma":[0.00043375551,0.00011833633,0.00014352627,0.00024260195,0.000080457365,0.000098842196,0.00007483221,0.0000927307,5.448266e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023006754,0.0034380606,0.8889481,0.003400637,0.00042673052,0.00006279005,0.0017274945,0.002186071,0.000011711577,0.054422263,0.00010616927,0.045039948],"study_design_scores_gemma":[0.0036360885,0.0034821178,0.92499894,0.009952012,0.00014264046,0.0002900098,0.0026026496,0.0033927017,0.00052601064,0.037286445,0.012261474,0.0014289299],"about_ca_topic_score_codex":0.00071125873,"about_ca_topic_score_gemma":0.00049597234,"teacher_disagreement_score":0.16183147,"about_ca_system_score_codex":0.00007401222,"about_ca_system_score_gemma":0.00006599729,"threshold_uncertainty_score":0.48256156},"labels":[],"label_agreement":null},{"id":"W4241070847","doi":"10.2139/ssrn.3214227","title":"How Do the Labor Market Values of Managerial Traits Evolve?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Economics; Labour economics","score_opus":0.010367740384064518,"score_gpt":0.21029069656661184,"score_spread":0.19992295618254732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241070847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575829,0.0065005925,0.00869866,0.0059673064,0.001117761,0.00021300491,0.00016223273,0.000022907996,0.019734632],"genre_scores_gemma":[0.9896206,0.0031142044,0.00014264515,0.00013253151,0.000989383,0.0000039918764,0.0000019434108,0.000026597689,0.005968081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99776924,0.000084298525,0.00052321184,0.0002564331,0.00009013073,0.0012767094],"domain_scores_gemma":[0.99885845,0.00007706007,0.00057281257,0.00029720928,0.00013551216,0.00005896084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004772814,0.00016360794,0.0003410046,0.00013094972,0.00023528676,0.00019916311,0.00056848355,0.00009329845,0.00027291145],"category_scores_gemma":[0.0002624843,0.0001283237,0.00018437633,0.00032018367,0.00017641047,0.00025128303,0.00006281541,0.0007339284,0.000023146096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009334175,0.000049119575,0.005352423,0.000008517981,0.0002008862,0.0000010734677,0.0001893698,0.000001329869,0.000028360997,0.9874336,0.000505319,0.0061366376],"study_design_scores_gemma":[0.00061302446,0.00026024156,0.016987272,0.0000103301045,0.000016261289,0.00003153164,0.0005068173,0.00034413667,0.000022246724,0.9637586,0.017267127,0.00018243022],"about_ca_topic_score_codex":0.0000646613,"about_ca_topic_score_gemma":0.00026626285,"teacher_disagreement_score":0.03203772,"about_ca_system_score_codex":0.0002972307,"about_ca_system_score_gemma":0.00027409932,"threshold_uncertainty_score":0.5232889},"labels":[],"label_agreement":null},{"id":"W4241768364","doi":"10.1155/2014/490914","title":"How Persistent Is the Occupation-Education Mismatch in Canada?","year":2014,"lang":"en","type":"article","venue":"ISRN Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Demographic economics; Wage; Hazard; Duration (music); Economics; Labour economics; Transition (genetics); Proportional hazards model; Statistics; Mathematics","score_opus":0.01661439743382267,"score_gpt":0.19093643608052666,"score_spread":0.17432203864670398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241768364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96802425,0.00019917761,0.00032188144,0.017330028,0.0008893437,0.00016947962,0.00013984536,0.000007653284,0.012918317],"genre_scores_gemma":[0.9946714,0.00016806638,0.00016119411,0.0036707413,0.000117318246,0.00002614396,0.000026154392,0.000017810957,0.0011411934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989362,0.00002358724,0.0004434814,0.00032229064,0.00001964321,0.00025481317],"domain_scores_gemma":[0.9990654,0.000087214925,0.0002928945,0.00046226312,0.000029004144,0.00006323664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006077718,0.00013036208,0.0002505757,0.00007502377,0.0000830661,0.0001478583,0.00030030633,0.000057339857,0.00007081066],"category_scores_gemma":[0.000095411495,0.0001310443,0.00009263631,0.000105214465,0.000024989828,0.00017262892,0.000041154042,0.00012816105,0.000040760322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006967347,0.00003939826,0.57102615,0.000016026954,0.000024686433,1.4959686e-7,0.00035159354,0.00034969219,3.2789802e-7,0.41856247,0.0009457943,0.008676747],"study_design_scores_gemma":[0.00053898647,0.000027394182,0.3848858,0.000012940691,0.0000083007535,0.0000031629738,0.001241887,0.08375278,0.000013302602,0.21372738,0.31525812,0.0005299522],"about_ca_topic_score_codex":0.5087258,"about_ca_topic_score_gemma":0.8186909,"teacher_disagreement_score":0.3143123,"about_ca_system_score_codex":0.0009008996,"about_ca_system_score_gemma":0.00038642265,"threshold_uncertainty_score":0.5343832},"labels":[],"label_agreement":null},{"id":"W4241943414","doi":"10.32920/ryerson.14636787.v1","title":"Centralized Wage Determination and Regional Unemployment Di®erences: The Case of Italy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unemployment; Wage; Economics; Labour economics; Macroeconomics","score_opus":0.052860929291451135,"score_gpt":0.2627632813833371,"score_spread":0.20990235209188596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241943414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896456,0.0016260565,0.0027846773,0.0014621726,0.00038547747,0.0003013861,0.00041755367,0.000015449152,0.0040426827],"genre_scores_gemma":[0.99720377,0.0012188314,0.00080301927,0.00012541439,0.00004251798,0.00003189602,0.00010804439,0.000014865647,0.0004516228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844486,0.000058976475,0.00078045944,0.0004911264,0.000041690833,0.00018290598],"domain_scores_gemma":[0.99858844,0.00013028296,0.00061265746,0.000524227,0.00008622843,0.00005815806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008391256,0.00019566243,0.0004806912,0.00008564798,0.000085479696,0.000161564,0.00021419527,0.00018012269,0.00023658911],"category_scores_gemma":[0.00010384017,0.00016132313,0.00016023211,0.00010975224,0.00010882511,0.000080776845,0.000419663,0.00023147273,0.000002260411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003287285,0.00025396145,0.037355524,0.0004624566,0.0002593803,0.00033596327,0.0026762348,0.00020707768,0.000009286732,0.94891363,0.00011047786,0.00938314],"study_design_scores_gemma":[0.002354927,0.00015114606,0.06575707,0.0003967785,0.00015590062,0.00041616053,0.0040431963,0.20663814,0.00013531945,0.7131608,0.0049175485,0.0018729706],"about_ca_topic_score_codex":0.0032735155,"about_ca_topic_score_gemma":0.0010871126,"teacher_disagreement_score":0.23575279,"about_ca_system_score_codex":0.000068915586,"about_ca_system_score_gemma":0.000046591937,"threshold_uncertainty_score":0.6578566},"labels":[],"label_agreement":null},{"id":"W4242908924","doi":"10.1002/pam.1005.abs","title":"Testing a Financial Incentive to Promote Re‐employment among Displaced Workers: The Canadian Earnings Supplement Project (ESP)","year":2001,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Displaced workers; Incentive; Business; Labour economics; Finance; Economics","score_opus":0.028347821415311104,"score_gpt":0.2709508249376516,"score_spread":0.2426030035223405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242908924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757568,0.0000985285,0.004659895,0.011349536,0.00011458688,0.00058077025,0.000075358796,0.000007140988,0.0073573696],"genre_scores_gemma":[0.99530125,0.0001634199,0.0023033647,0.00075635506,0.00019414547,0.00002557402,0.0000063764364,0.000012849073,0.0012366637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818283,0.00005708835,0.000902063,0.0002849774,0.00013888889,0.00043412833],"domain_scores_gemma":[0.99857575,0.000047321486,0.0007784962,0.00026282773,0.000113238515,0.00022234814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023685445,0.00018002807,0.00047225386,0.0013471764,0.00034384461,0.00027810736,0.0003024502,0.00004883556,0.000055379667],"category_scores_gemma":[0.0003206034,0.00014212899,0.00021081361,0.0022846167,0.000045440094,0.00016371584,0.0001519633,0.00018609774,0.000005061532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006831885,0.00010496225,0.955664,0.00003067468,0.001668112,0.00007337021,0.001978287,0.0010989447,0.0000015996307,0.030062305,0.0021825407,0.007066916],"study_design_scores_gemma":[0.000460538,0.00014460029,0.8680367,0.00005174589,0.00031473523,0.000002688279,0.00030189365,0.0019934883,0.0000012608849,0.0033330389,0.1251417,0.00021760067],"about_ca_topic_score_codex":0.22307053,"about_ca_topic_score_gemma":0.26907724,"teacher_disagreement_score":0.12295916,"about_ca_system_score_codex":0.000550975,"about_ca_system_score_gemma":0.00010082535,"threshold_uncertainty_score":0.7821031},"labels":[],"label_agreement":null},{"id":"W4245408969","doi":"10.3138/cpp.38.4.531","title":"The Evolution of the Returns to Education for 21- to 35-Year-Olds in Canada and across Provinces: Results from the 1991–2006 Analytical Census Files","year":2012,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Census; Humanities; Political science; Demography; Geography; Population; Sociology; Art","score_opus":0.02064246906010667,"score_gpt":0.2493564306254725,"score_spread":0.22871396156536583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245408969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77611816,0.0020920862,0.000011821954,0.16878898,0.001562429,0.00068883516,0.048666053,0.0000022622194,0.0020693513],"genre_scores_gemma":[0.99268097,0.00009733907,0.000059262587,0.0031454652,0.0008001614,0.00006430625,0.00012929903,0.0000192316,0.0030039805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99781233,0.00010320257,0.0006949424,0.00032240624,0.00007708519,0.0009900102],"domain_scores_gemma":[0.9976973,0.00057259045,0.0002725873,0.0007031702,0.00012059754,0.00063377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016548504,0.0001660695,0.00025926612,0.00014368627,0.0003953618,0.00021014198,0.0005898505,0.00013310595,0.000010556309],"category_scores_gemma":[0.004684462,0.00012617113,0.00006990492,0.0010251985,0.00014875173,0.00017803551,0.000118136064,0.00019683382,0.0000034393674],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000029665356,0.000029449558,0.3062086,0.000019783896,0.000033762455,1.4703075e-7,0.0016597951,0.000022848615,3.2312093e-7,0.6325327,0.04437434,0.015088574],"study_design_scores_gemma":[0.00017890944,0.00001202643,0.5617707,0.000032051816,0.0000043195882,7.100492e-7,0.001381529,0.0008199969,4.6864596e-7,0.007894007,0.4277758,0.00012950852],"about_ca_topic_score_codex":0.99956185,"about_ca_topic_score_gemma":0.99988973,"teacher_disagreement_score":0.6246387,"about_ca_system_score_codex":0.006372306,"about_ca_system_score_gemma":0.008712286,"threshold_uncertainty_score":0.99744207},"labels":[],"label_agreement":null},{"id":"W4245912764","doi":"10.3138/cpp.35.4.499","title":"Older Workers in the New Economy: The Role of Wage Insurance and the Rethinking of Employment Insurance","year":2009,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scope (computer science); Unemployment; Wage; Work (physics); Actuarial science; Labour economics; Insurance policy; Economics; Business; Public economics; Economic growth; Engineering; Computer science","score_opus":0.015420325041080672,"score_gpt":0.21561454367847385,"score_spread":0.20019421863739317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245912764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.894743,0.0028160047,0.000018027598,0.0679906,0.0000578281,0.00033718353,0.00019359727,0.0000048170796,0.033838898],"genre_scores_gemma":[0.9943103,0.00016606328,0.00001960927,0.005251024,0.00009230343,0.000012226105,0.0000040779614,0.00000917407,0.00013520737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987361,0.00008939302,0.0005630057,0.00021003716,0.000035916626,0.0003655414],"domain_scores_gemma":[0.9987687,0.00018310844,0.00033238082,0.00055550825,0.000031613818,0.00012871723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019028119,0.00012658052,0.00031627633,0.0002608662,0.00012427282,0.00010711707,0.0006380267,0.00007818229,0.000019492514],"category_scores_gemma":[0.00034285648,0.000082662795,0.000079606805,0.00066376844,0.00022742551,0.00018040856,0.000029331384,0.00022112385,0.0000020780117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068108347,0.000010197286,0.202517,0.0000040516106,0.000015348158,5.5559195e-7,0.0022999381,0.000006951188,3.245372e-7,0.78511995,0.00014626818,0.00987262],"study_design_scores_gemma":[0.0005012057,0.000011629278,0.5732617,0.000013523209,0.0000013757962,0.0000017362377,0.00019171937,0.000190856,0.0000020819111,0.40534902,0.020389557,0.00008561048],"about_ca_topic_score_codex":0.41277286,"about_ca_topic_score_gemma":0.1714326,"teacher_disagreement_score":0.3797709,"about_ca_system_score_codex":0.00015505274,"about_ca_system_score_gemma":0.0006065791,"threshold_uncertainty_score":0.8436866},"labels":[],"label_agreement":null},{"id":"W4246521846","doi":"10.1163/9789004365407_008","title":"What Should Vocational Qualifications Look Like if the Links between Qualifications and Jobs Are So Weak?","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Vocational education; Labour economics; Psychology; Mathematics education; Pedagogy; Economics","score_opus":0.09302613871754499,"score_gpt":0.2790521391648461,"score_spread":0.1860260004473011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246521846","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032187663,0.011867117,0.020258721,0.08241583,0.0032440547,0.0021451104,0.010929202,0.00032124668,0.86559993],"genre_scores_gemma":[0.08672702,0.010163613,0.000889297,0.0041836384,0.0018268103,0.00015255882,0.0018759107,0.00018602348,0.8939951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99688184,0.00004490344,0.0015487091,0.0010185858,0.00015373621,0.00035224642],"domain_scores_gemma":[0.9959546,0.0006518291,0.0013471295,0.0015360845,0.00032098757,0.0001893671],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018012575,0.0004840853,0.0007632319,0.00030345566,0.00068819424,0.00094718346,0.0007245846,0.00096579513,0.0029866032],"category_scores_gemma":[0.00016081992,0.00043668007,0.00026142006,0.00012527114,0.00061744516,0.00044461357,0.00022317753,0.00087502913,0.0013971805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003778444,0.000029909643,0.0033426762,0.00003655031,0.00020075755,3.4136997e-7,0.0005027784,0.0000015773297,2.9453068e-7,0.9862077,0.008665105,0.0010084969],"study_design_scores_gemma":[0.00013168796,0.000018705887,0.013270066,0.00005303247,0.000044648757,0.0000014613422,0.00027338002,0.00016364874,5.1958745e-7,0.41959327,0.5660055,0.00044404622],"about_ca_topic_score_codex":0.0001975873,"about_ca_topic_score_gemma":0.0004430436,"teacher_disagreement_score":0.56661445,"about_ca_system_score_codex":0.00015368192,"about_ca_system_score_gemma":0.00012729065,"threshold_uncertainty_score":0.9998085},"labels":[],"label_agreement":null},{"id":"W4247391252","doi":"10.1007/978-94-007-0753-5_100606","title":"Commitment to the Labor Market","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Business; Labour economics; Economics","score_opus":0.02565779457639715,"score_gpt":0.2130996637597453,"score_spread":0.18744186918334815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247391252","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000081636754,0.00057849573,0.0033933083,0.009488686,0.0009830147,0.0004769667,0.0013876192,0.00004923826,0.98356104],"genre_scores_gemma":[0.012334744,0.00035554692,0.0004037634,0.008632534,0.0004427519,0.000033527413,0.00004972135,0.00007396132,0.9776735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983257,0.000014325256,0.00075006374,0.0005576612,0.000065234875,0.00028701994],"domain_scores_gemma":[0.9981628,0.00013590188,0.00036090353,0.0011464079,0.000060015383,0.00013394789],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014624287,0.00032702772,0.0006077043,0.00013819624,0.000118273,0.0001260631,0.0006041357,0.00024040932,0.0124579845],"category_scores_gemma":[0.000075541655,0.00025849798,0.00021372034,0.00004683347,0.000042056112,0.000027399929,0.00024695022,0.00029343364,0.0041976226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101279775,0.000008196718,0.0003044451,0.000016808428,0.00007336114,0.0000019175804,0.000025967955,0.0000036362048,2.7856602e-8,0.90751386,0.09016156,0.0018800708],"study_design_scores_gemma":[0.00010511911,0.000032639346,0.000703662,0.000014943147,0.0000068744716,7.042233e-7,0.0000019880515,0.00019203882,1.7113409e-7,0.28777593,0.71088415,0.00028176542],"about_ca_topic_score_codex":0.00015774876,"about_ca_topic_score_gemma":0.00031120656,"teacher_disagreement_score":0.6207226,"about_ca_system_score_codex":0.00014236648,"about_ca_system_score_gemma":0.000017978986,"threshold_uncertainty_score":0.9999867},"labels":[],"label_agreement":null},{"id":"W4248267115","doi":"10.31235/osf.io/nu36j","title":"Alternative and independent: The universe of technology-related “bootcamps”","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"RTI International","keywords":"Workforce; Diversity (politics); Computer science; Public relations; Political science; Economic growth; Economics","score_opus":0.017442355075695443,"score_gpt":0.215933395636611,"score_spread":0.19849104056091554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248267115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89418584,0.0015707425,0.0026381225,0.0015821035,0.0008374636,0.0005157492,0.00065210945,0.00004491642,0.09797294],"genre_scores_gemma":[0.9955813,0.0012972528,0.00020072561,0.00006202909,0.000017037213,0.000008417516,0.000021450707,0.000019616358,0.0027921305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986308,0.000022818733,0.00062766916,0.00050030055,0.000042323165,0.00017605572],"domain_scores_gemma":[0.99828726,0.00007238469,0.00079724187,0.0007387673,0.000073341485,0.00003102573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578512,0.00019908244,0.0005305896,0.0003312952,0.000043398184,0.00004027719,0.0005425215,0.00044349453,0.00027613415],"category_scores_gemma":[0.000092926195,0.00016599066,0.00011363021,0.0002039523,0.00019138605,0.000059910002,0.0015402246,0.0006314457,0.000056649245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008133345,0.000032421343,0.035359394,0.000056107092,0.00019739046,0.000002374458,0.0002343653,0.00041064472,0.0000025416175,0.9629882,0.000025239615,0.0006832173],"study_design_scores_gemma":[0.00042470198,0.00002694458,0.008178123,0.00004295494,0.000014798233,0.0000020729533,0.00020718249,0.011032041,0.000024811587,0.9775884,0.002215148,0.00024279954],"about_ca_topic_score_codex":0.0010390967,"about_ca_topic_score_gemma":0.000047337548,"teacher_disagreement_score":0.10139548,"about_ca_system_score_codex":0.00007499402,"about_ca_system_score_gemma":0.00003718796,"threshold_uncertainty_score":0.67689025},"labels":[],"label_agreement":null},{"id":"W4248292862","doi":"10.4095/301157","title":"Employment Growth 2001 - 2006 (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Demographic economics; Demography; Economics; Sociology; Mathematics; Arithmetic; Population","score_opus":0.04469345125466808,"score_gpt":0.26576325962985264,"score_spread":0.22106980837518456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248292862","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01691969,0.0037517843,0.0021330395,0.001315017,0.0060495157,0.0005804713,0.02079262,0.00018628644,0.9482716],"genre_scores_gemma":[0.34021994,0.026117034,0.0025160857,0.0016789599,0.0020986372,0.00020278052,0.00644274,0.00051757763,0.62020624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99609894,0.000026254305,0.0017069427,0.001129977,0.0002514455,0.0007864222],"domain_scores_gemma":[0.99722415,0.000109315915,0.0011389764,0.0008727162,0.00035608924,0.00029877704],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002835649,0.0005613807,0.0012296636,0.00030077205,0.0001511817,0.00022284227,0.00063858356,0.0009515079,0.005374361],"category_scores_gemma":[0.0006985298,0.0005674075,0.00040856702,0.00028719255,0.0000817503,0.00014582767,0.00030419388,0.0010094042,0.0007234758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008404124,0.00037447189,0.05693634,0.00015562965,0.00021332085,0.000026496717,0.000013780005,9.237957e-7,0.0000073321326,0.11654925,0.82336634,0.002347719],"study_design_scores_gemma":[0.0002997505,0.000044284763,0.011998139,0.000026785952,0.000015976262,0.0000064726855,0.0000028892305,0.00008809822,0.000007920006,0.05333759,0.933363,0.00080905604],"about_ca_topic_score_codex":0.016833063,"about_ca_topic_score_gemma":0.0008039182,"teacher_disagreement_score":0.32806534,"about_ca_system_score_codex":0.00047968177,"about_ca_system_score_gemma":0.00021105846,"threshold_uncertainty_score":0.9996777},"labels":[],"label_agreement":null},{"id":"W4248863387","doi":"10.3917/ecop.189.0057","title":"Croissance et chômage à long terme","year":2009,"lang":"fr","type":"article","venue":"Économie & prévision","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02252351024875578,"score_gpt":0.2547357614293068,"score_spread":0.23221225118055103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248863387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7910997,0.022458825,0.010175993,0.11255176,0.0049328436,0.000631687,0.00074315316,0.00012425617,0.057281766],"genre_scores_gemma":[0.9216605,0.0047648754,0.0027598017,0.0056216447,0.0006101315,0.00001164591,0.000100985984,0.000061199156,0.06440925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99631166,0.000114874856,0.001465903,0.0011505618,0.0000677884,0.00088923366],"domain_scores_gemma":[0.99750066,0.00020981226,0.00084142754,0.0011011951,0.00007931607,0.0002676157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020616057,0.00049637444,0.00093050493,0.00026306036,0.00023686957,0.0005181451,0.0006075138,0.00046678964,0.0014620923],"category_scores_gemma":[0.00030281075,0.00065279467,0.00038400965,0.00035789947,0.00015850077,0.0011953341,0.00017766387,0.00059027155,0.0014001976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000977394,0.0005573028,0.043684885,0.00010202599,0.000063519066,0.00008196393,0.0003261207,0.00036803744,0.000044091816,0.80721945,0.0074025043,0.14005235],"study_design_scores_gemma":[0.0015121269,0.00045398434,0.40302652,0.0003233591,0.000027202677,0.000022914759,0.00002413317,0.014886117,0.000094668474,0.21708956,0.36138317,0.0011562352],"about_ca_topic_score_codex":0.00053743867,"about_ca_topic_score_gemma":0.00018532653,"teacher_disagreement_score":0.5901299,"about_ca_system_score_codex":0.0006020404,"about_ca_system_score_gemma":0.00010240246,"threshold_uncertainty_score":0.9995923},"labels":[],"label_agreement":null},{"id":"W4250244529","doi":"10.15185/izawol.145.v2","title":"Who benefits from firm-sponsored training?","year":2020,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Training (meteorology); Business; Psychology; Geography","score_opus":0.058158692448765904,"score_gpt":0.228441309802078,"score_spread":0.1702826173533121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250244529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97239506,0.0025360945,0.0002723795,0.0068028937,0.00030309698,0.00013862504,0.0052007292,0.000057746296,0.012293394],"genre_scores_gemma":[0.9952322,0.00014151788,0.0013998878,0.00226322,0.00021312866,0.0000080090995,0.00006133764,0.000032641223,0.0006480544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985227,0.000024981306,0.0007149136,0.00042253776,0.00005617877,0.00025868436],"domain_scores_gemma":[0.99892104,0.00016447526,0.00036764905,0.00033047047,0.000058610793,0.00015776827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031423324,0.00016613104,0.00057953276,0.00011145202,0.00004558162,0.000042790416,0.00034330736,0.000070806345,0.0011706062],"category_scores_gemma":[0.00032388323,0.00019043355,0.00012631754,0.0006681726,0.000050507868,0.00013878803,0.00007810778,0.00015111167,0.00012234774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001412962,0.00008230994,0.20155689,0.00004130488,0.00012439018,0.00000981969,0.0027992616,0.00016908383,0.000074437055,0.79019266,0.0014296243,0.00337894],"study_design_scores_gemma":[0.0019299187,0.0001309948,0.62807345,0.00007912586,0.000024601979,4.0203733e-7,0.00018354428,0.008240623,0.0003239568,0.109702766,0.25055352,0.0007571094],"about_ca_topic_score_codex":0.00037942245,"about_ca_topic_score_gemma":0.00023314466,"teacher_disagreement_score":0.6804899,"about_ca_system_score_codex":0.000027783452,"about_ca_system_score_gemma":0.000029936364,"threshold_uncertainty_score":0.99974245},"labels":[],"label_agreement":null},{"id":"W4250542423","doi":"10.3138/cpp.37.suppl.s95","title":"Cohort and Period Perspectives on Gender, Education, and Earnings in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Earnings; Cohort effect; Cohort; Demographic economics; Counterfactual thinking; Immigration; Period (music); Demography; Shock (circulatory); Economics; Labour economics; Psychology; Political science; Medicine; Sociology; Internal medicine","score_opus":0.025944843356413696,"score_gpt":0.20710381330778613,"score_spread":0.18115896995137243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250542423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90089816,0.00065459526,0.0000027691417,0.002993805,0.00009076555,0.00009829186,0.00016804975,0.000004649561,0.09508892],"genre_scores_gemma":[0.99770355,0.00022733843,0.00004240003,0.0014194404,0.000060443086,0.000017861437,0.00000864218,0.000013021757,0.00050731015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991115,0.000016661626,0.00021211599,0.00030557878,0.0000218579,0.00033233294],"domain_scores_gemma":[0.9992309,0.000013239393,0.00007784959,0.00018748267,0.000035137567,0.0004553411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028459102,0.00010170188,0.00017321725,0.00050781335,0.000094968964,0.00006637875,0.000107712985,0.000049171624,0.00021324983],"category_scores_gemma":[0.00033136908,0.00012497956,0.000013116553,0.00027206977,0.00005283241,0.00013270944,0.000019908053,0.000120444034,0.0000058379405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[6.6453947e-7,0.000007990509,0.54313886,0.0000037128493,0.000006952339,0.0000020449759,0.0012876575,4.1868596e-8,3.64991e-8,0.4545794,0.00017536664,0.00079725625],"study_design_scores_gemma":[0.00011021252,0.0000092494765,0.96124655,0.0000027749738,8.046522e-7,0.0000062078816,0.001398157,0.0000553178,1.3834136e-7,0.015085671,0.021937933,0.0001470029],"about_ca_topic_score_codex":0.998742,"about_ca_topic_score_gemma":0.9972276,"teacher_disagreement_score":0.43949375,"about_ca_system_score_codex":0.0015081209,"about_ca_system_score_gemma":0.0057046283,"threshold_uncertainty_score":0.9999321},"labels":[],"label_agreement":null},{"id":"W4252350345","doi":"10.1108/s0147-9121(2012)0000036003","title":"Editorial Advisory Board","year":2012,"lang":"en","type":"other","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; Incentive; Wage; Promotion (chess); Economics; Political science; Labour economics; Politics; Law","score_opus":0.06650033087151609,"score_gpt":0.31651412092916387,"score_spread":0.2500137900576478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252350345","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038796382,0.0065825107,0.000018429926,0.000652436,0.07333108,0.0007266844,0.0035860792,0.00011206577,0.91111106],"genre_scores_gemma":[0.026127156,0.030421188,0.001204431,0.00030971743,0.2518682,0.00042739676,0.0004519513,0.0022112522,0.6869787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964189,0.0001592149,0.0010483442,0.00093872176,0.000108032764,0.0013268183],"domain_scores_gemma":[0.9976916,0.0002603603,0.00049469894,0.0011631385,0.00007005128,0.00032015602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052347956,0.00039546404,0.0010198955,0.0015918349,0.00007458829,0.00018701456,0.0009114465,0.0010647589,0.0048325756],"category_scores_gemma":[0.0002823268,0.00049969746,0.00017047749,0.0005460596,0.000230783,0.00021364653,0.000381934,0.0013953847,0.0038731897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002890478,0.00014543532,0.011280925,0.00012303716,0.000063514846,0.0000033154329,0.00004917227,0.000006274462,3.607081e-7,0.5515694,0.4360028,0.00072687643],"study_design_scores_gemma":[0.0005998476,0.00003185668,0.0005786152,0.000060640075,0.0000023016348,4.0677065e-7,0.000021203477,0.00008228644,7.573923e-7,0.12465718,0.8734886,0.00047632147],"about_ca_topic_score_codex":0.004570346,"about_ca_topic_score_gemma":0.0016310071,"teacher_disagreement_score":0.43748578,"about_ca_system_score_codex":0.0008141019,"about_ca_system_score_gemma":0.00020740744,"threshold_uncertainty_score":0.9997455},"labels":[],"label_agreement":null},{"id":"W4253307725","doi":"10.3138/cpp.38.3.411","title":"The Canada-US Unemployment Rate Gap: A New Look with a New Decomposition for Cross-Country Differences in Unemployment Rates","year":2012,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Economics; Political science; Art","score_opus":0.033093332863988745,"score_gpt":0.2702612023812269,"score_spread":0.23716786951723817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253307725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84223324,0.013891358,0.0004013772,0.1340191,0.0023475164,0.0010797705,0.0032288644,0.000017028491,0.002781757],"genre_scores_gemma":[0.96473527,0.0009313617,0.00012464014,0.0062268227,0.0014667646,0.00012748045,0.00017816138,0.000066564666,0.026142918],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960676,0.00008290497,0.0009474772,0.00053358014,0.00010728733,0.0022611702],"domain_scores_gemma":[0.996518,0.0003475052,0.00046749657,0.0005911171,0.00012169833,0.0019541776],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013589598,0.00043145905,0.0005778774,0.00047105332,0.00057254796,0.0011386464,0.0006034648,0.000229356,0.00020057528],"category_scores_gemma":[0.00047081377,0.00041026206,0.0001022671,0.0009925652,0.00020658295,0.0006585022,0.00006277267,0.00029838108,0.000020744876],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000032223496,0.000042143267,0.5387833,0.000034046825,0.00010031263,0.0000044107223,0.00016165625,0.000033181626,3.0713005e-7,0.44597957,0.010563041,0.004265794],"study_design_scores_gemma":[0.0012498507,0.00008630755,0.42730278,0.000061324296,0.000014621178,0.000008663847,0.00006090621,0.0014260499,0.000004864663,0.023375537,0.54588425,0.0005248464],"about_ca_topic_score_codex":0.99649394,"about_ca_topic_score_gemma":0.99914753,"teacher_disagreement_score":0.5353212,"about_ca_system_score_codex":0.0058635725,"about_ca_system_score_gemma":0.017891033,"threshold_uncertainty_score":0.99989825},"labels":[],"label_agreement":null},{"id":"W4253792860","doi":"10.1093/acprof:oso/9780199532438.003.0018","title":"C Canada","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology","score_opus":0.026363717179110475,"score_gpt":0.18042218259209966,"score_spread":0.15405846541298918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253792860","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008652671,0.0015904277,0.0001243558,0.0005488354,0.00063013576,0.00009744249,0.0014920966,0.000026448763,0.9954037],"genre_scores_gemma":[0.020832552,0.0017626255,0.00012491617,0.0015100801,0.00016783293,0.0000027686033,0.000093145165,0.00005410907,0.97545195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987434,0.0000016487816,0.00060159236,0.0004033211,0.000046033627,0.00020396554],"domain_scores_gemma":[0.99905217,0.000033172702,0.0003266079,0.00045766405,0.000034904504,0.00009549312],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001413535,0.00023437158,0.00051110244,0.00008080022,0.00006226649,0.000021861364,0.00022703815,0.00021087937,0.0061044474],"category_scores_gemma":[0.000022757386,0.0002677858,0.00012182388,0.000018320521,0.000033478696,0.0000375603,0.000066064655,0.00023536675,0.0004541046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016217194,0.0000031691577,0.00017959689,0.000010578967,0.000043490338,0.000036183523,0.0000045109514,0.0000014361515,1.3011961e-8,0.92161685,0.07782201,0.00028055775],"study_design_scores_gemma":[0.000074612595,0.0000061034502,0.00020624681,0.000006299588,0.0000019524275,0.0000042289716,3.4252972e-7,0.000048906943,1.7007707e-7,0.20357877,0.7957758,0.00029660497],"about_ca_topic_score_codex":0.659028,"about_ca_topic_score_gemma":0.668815,"teacher_disagreement_score":0.7180381,"about_ca_system_score_codex":0.0003280513,"about_ca_system_score_gemma":0.00030234095,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W425379836","doi":"10.7202/028155ar","title":"A Critical Appraisal of the Economics Rationale of Government-Subsidized Manpower Training","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Windsor; Université Laval","funders":"","keywords":"Subsidy; Critical appraisal; Training (meteorology); Government (linguistics); Macro; Economics; Economic appraisal; Public economics; Welfare; Economic analysis; Computer science; Classical economics; Medicine","score_opus":0.042341726599468825,"score_gpt":0.25117079262591613,"score_spread":0.2088290660264473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W425379836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95475733,0.00022784321,0.0023366776,0.0038378844,0.00033331523,0.00013565624,0.00072845904,0.000007789246,0.037635066],"genre_scores_gemma":[0.99746966,0.00004026756,0.0014338818,0.000046713372,0.00008020655,0.000008600633,0.00000824238,0.000010784607,0.00090165075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989174,0.000026719741,0.00071154354,0.00016531037,0.000051781128,0.00012724455],"domain_scores_gemma":[0.99867886,0.00062422076,0.0003533226,0.0002726403,0.00003754746,0.000033407225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049696804,0.0000848156,0.00023155789,0.00004304507,0.000084386455,0.000016657188,0.0001787651,0.00014432347,0.0004865467],"category_scores_gemma":[0.0013281539,0.000081568905,0.000116900774,0.00018008164,0.00013626751,0.00017023685,0.000054502438,0.00017583727,0.000015989956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009657899,0.00008104433,0.03165167,0.0000026498983,0.000035969308,6.793979e-8,0.000593906,0.0015113748,0.000022246848,0.96458817,0.00021655064,0.0012867067],"study_design_scores_gemma":[0.0046459464,0.00017600173,0.18883963,0.00016078222,0.00011818664,0.0000131293955,0.0047473153,0.09330238,0.00258817,0.2756921,0.42851362,0.0012027231],"about_ca_topic_score_codex":0.00002389884,"about_ca_topic_score_gemma":0.00002390651,"teacher_disagreement_score":0.68889606,"about_ca_system_score_codex":0.00007698518,"about_ca_system_score_gemma":0.00006022271,"threshold_uncertainty_score":0.5327345},"labels":[],"label_agreement":null},{"id":"W4254632013","doi":"10.3138/cpp.38.2.121","title":"Canadian Inequality: Recent Developments and Policy Options","year":2012,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inequality; Economic inequality; Economics; Development economics; Income inequality metrics; Wage inequality; Public economics; Wage; Demographic economics; Labour economics","score_opus":0.04890607583329293,"score_gpt":0.2574614066515233,"score_spread":0.20855533081823036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254632013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4799818,0.0027881335,0.00015879275,0.18348123,0.0009817869,0.00051015214,0.005445448,0.00008026221,0.3265724],"genre_scores_gemma":[0.9850259,0.00076042116,0.00029511988,0.011096141,0.00064382167,0.000035663837,0.00016228142,0.000037342343,0.001943305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997492,0.000046043195,0.00053670985,0.0003363472,0.00004765572,0.0015412333],"domain_scores_gemma":[0.995721,0.00002897436,0.00014546531,0.00043205798,0.000083741725,0.0035887836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012265955,0.0002162678,0.0003101503,0.002249524,0.0004206658,0.00026729447,0.000301109,0.00019396325,0.0005307249],"category_scores_gemma":[0.0012332834,0.00027108224,0.00005004682,0.0013371402,0.000072945186,0.0005561982,0.00006522702,0.00019384008,0.00033182575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[4.4915907e-7,0.0000121563835,0.19962001,0.0000068169807,0.0000283117,0.000001703389,0.00021749202,1.5183203e-7,2.8659184e-7,0.79071575,0.001074931,0.0083219195],"study_design_scores_gemma":[0.00016282668,0.000005224725,0.27129087,0.0000031258357,0.0000016151303,0.000008726566,0.000028846103,0.00002556971,4.7293153e-7,0.05818898,0.6700131,0.0002706337],"about_ca_topic_score_codex":0.9786209,"about_ca_topic_score_gemma":0.96233517,"teacher_disagreement_score":0.7325268,"about_ca_system_score_codex":0.0040737176,"about_ca_system_score_gemma":0.0058789155,"threshold_uncertainty_score":0.99997413},"labels":[],"label_agreement":null},{"id":"W4254756064","doi":"10.1016/j.rie.2014.12.001","title":"Match effects","year":2014,"lang":"en","type":"article","venue":"Research in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Alfred P. Sloan Foundation; National Institute on Aging; National Science Foundation","keywords":"Earnings; Economics; Matching (statistics); Econometrics; Variation (astronomy); Productivity; Wage; sort; Dispersion (optics); Labour economics; Accounting; Statistics; Macroeconomics","score_opus":0.06680805076934096,"score_gpt":0.3101712492025369,"score_spread":0.24336319843319595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254756064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88525987,0.0001888561,0.00073251734,0.0011811452,0.00037292903,0.00022880746,0.000033474655,0.00002308413,0.1119793],"genre_scores_gemma":[0.99772114,0.0006374304,0.000566619,0.00020426986,0.00017186144,0.00005044876,0.000009985193,0.000031491887,0.0006067586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813145,0.00012606378,0.0005744441,0.00049507583,0.000034903765,0.0006380298],"domain_scores_gemma":[0.99854165,0.0005985162,0.00011174119,0.0005743315,0.00003485196,0.00013890966],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006396301,0.00012314,0.0003801821,0.00045429144,0.00008975543,0.00013601045,0.00042251713,0.00013101622,0.00008433505],"category_scores_gemma":[0.000464279,0.00015135511,0.000072095856,0.00031480272,0.00009737002,0.0002058638,0.00017245174,0.00040160195,0.0009710013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012302104,0.0000661293,0.07295638,0.00004846635,0.000009608548,0.000002825745,0.00006067587,0.00013152156,0.000004071062,0.91929716,0.00007244431,0.0073384233],"study_design_scores_gemma":[0.0005630781,0.000061160754,0.03865162,0.00001594368,4.0510847e-7,0.0000012484965,0.000014608495,0.019112112,0.000032779782,0.8835515,0.057797972,0.0001976117],"about_ca_topic_score_codex":0.000532785,"about_ca_topic_score_gemma":0.00018735393,"teacher_disagreement_score":0.11246125,"about_ca_system_score_codex":0.00032310578,"about_ca_system_score_gemma":0.000029848637,"threshold_uncertainty_score":0.9998069},"labels":[],"label_agreement":null},{"id":"W4254902863","doi":"10.1086/704046","title":"Jacob Mincer Award","year":2019,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medal; Economic history; Schools of economic thought; The arts; Economics; Sociology; Political science; History; Art history; Neoclassical economics; Law","score_opus":0.015411678077823884,"score_gpt":0.2151299107551031,"score_spread":0.19971823267727923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254902863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97917503,0.0009027223,0.00023471763,0.0017499812,0.002497043,0.00009739642,0.00021984181,0.000008426935,0.015114865],"genre_scores_gemma":[0.9945267,0.0010837134,0.0013669927,0.00086575304,0.00036777175,0.0000013421694,0.00000398074,0.000033025117,0.0017507428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813443,0.000018876875,0.0013155489,0.00023175965,0.000030863263,0.0002684974],"domain_scores_gemma":[0.99788517,0.000092096096,0.001409327,0.00035594468,0.00012214885,0.00013529745],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013313761,0.00016160717,0.00065481727,0.00023377051,0.00003464506,0.00010452316,0.0004117745,0.00012476752,0.0009512102],"category_scores_gemma":[0.00009525384,0.00017090498,0.0002565776,0.00014445053,0.000031662,0.0004873431,0.00006165877,0.00025848515,0.0005880694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008046474,0.00009881532,0.34348735,0.00003199648,0.00016210518,0.00000884897,0.0001880394,0.0007233967,0.00003295389,0.6538449,0.00044476817,0.0008963423],"study_design_scores_gemma":[0.0023908613,0.0003120514,0.10546598,0.000038197762,0.0000214478,0.000057129375,0.00016348092,0.0024774303,0.000111708614,0.37235618,0.5159965,0.0006090037],"about_ca_topic_score_codex":0.000041208066,"about_ca_topic_score_gemma":0.000017720056,"teacher_disagreement_score":0.51555175,"about_ca_system_score_codex":0.00023863296,"about_ca_system_score_gemma":0.000083884894,"threshold_uncertainty_score":0.99996203},"labels":[],"label_agreement":null},{"id":"W4254986518","doi":"10.2139/ssrn.486008","title":"Creating Low Skilled Jobs by Subsidizing Market-Contracted Household Work","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Subsidy; Labour economics; Work (physics); Economics; Business; Engineering; Market economy","score_opus":0.00962195324208178,"score_gpt":0.19396056816961343,"score_spread":0.18433861492753165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254986518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9460334,0.009886003,0.010876895,0.00033967488,0.0005666054,0.00019077028,0.000062041894,0.000067930545,0.03197665],"genre_scores_gemma":[0.98855597,0.0050843847,0.00023582095,0.00022087042,0.00017437004,0.000009680962,0.000010159647,0.00007271018,0.0056360215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956669,0.00014131362,0.0010317594,0.00045111394,0.00010207336,0.0026068017],"domain_scores_gemma":[0.9984784,0.00018286722,0.00075433846,0.00034588593,0.00006443867,0.00017403565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0062058046,0.0002961323,0.00055448496,0.00018687327,0.0004113265,0.00026824157,0.0003566446,0.00019104559,0.00034983412],"category_scores_gemma":[0.0007806613,0.00031902475,0.00024667135,0.00051382516,0.00004198858,0.00034590927,0.000029215733,0.0018971973,0.00004414372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008243182,0.00020307669,0.14680606,0.000011985989,0.0003067268,0.000009929344,0.0001118521,0.000046038283,0.00010096447,0.850342,0.0005247609,0.0014541665],"study_design_scores_gemma":[0.003326521,0.00018819526,0.020675503,0.00008023433,0.000038852282,0.00019102028,0.0005750714,0.0005302181,0.000098110046,0.9545514,0.018608486,0.0011364127],"about_ca_topic_score_codex":0.0001555411,"about_ca_topic_score_gemma":0.00016104762,"teacher_disagreement_score":0.12613057,"about_ca_system_score_codex":0.0011526473,"about_ca_system_score_gemma":0.00040592192,"threshold_uncertainty_score":0.9999262},"labels":[],"label_agreement":null},{"id":"W4255475641","doi":"10.3768/rtipress.2019.rr.0033.1902","title":"Alternative and Independent: The universe of technology-related “bootcamps\"","year":2019,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"RTI International","keywords":"Workforce; Diversity (politics); Universe; Computer science; Public relations; Business; Political science; Economic growth; Economics","score_opus":0.02587789242919244,"score_gpt":0.23605077207591962,"score_spread":0.21017287964672718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255475641","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16146143,0.0047003687,0.00045195757,0.0007885069,0.0016480287,0.00059792877,0.0011665488,0.000051094405,0.82913417],"genre_scores_gemma":[0.9564056,0.008480401,0.00006923637,0.000035531564,0.000039344945,0.000006909988,0.00004172485,0.000033918775,0.03488735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983324,0.00001866668,0.00084284507,0.00049396686,0.00010191189,0.00021023733],"domain_scores_gemma":[0.9977603,0.000092078175,0.0012302058,0.0006764202,0.00020570417,0.00003530704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014510443,0.0002314327,0.0007243867,0.00045186875,0.00005329158,0.000031169104,0.0004441776,0.0005495237,0.00050045125],"category_scores_gemma":[0.0002579854,0.00018529632,0.00014083178,0.00035123306,0.00020543084,0.00008234228,0.00045189468,0.0005337519,0.00007479319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007169372,0.000039606315,0.033567503,0.00010283935,0.00038095555,0.000007997166,0.00011176339,0.000015092002,0.0000016427491,0.9633193,0.00037623802,0.0020698623],"study_design_scores_gemma":[0.0008515257,0.00009969484,0.011166615,0.00012539797,0.000057360718,0.000032124568,0.0003279474,0.0013903603,0.000018016584,0.7862354,0.19908746,0.0006080963],"about_ca_topic_score_codex":0.002300024,"about_ca_topic_score_gemma":0.000103266444,"teacher_disagreement_score":0.79494417,"about_ca_system_score_codex":0.00018561931,"about_ca_system_score_gemma":0.00015712563,"threshold_uncertainty_score":0.7556164},"labels":[],"label_agreement":null},{"id":"W4280533163","doi":"10.1080/02601370.2022.2075480","title":"Skills mismatch in the agricultural labour market in Benin: vertical and horizontal mismatch","year":2022,"lang":"en","type":"article","venue":"International Journal of Lifelong Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Curriculum; Agriculture; Agricultural education; Soft skills; Business; Medical education; Economic growth; Economics; Geography; Medicine","score_opus":0.008987295333653651,"score_gpt":0.24139472184398178,"score_spread":0.23240742651032814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280533163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816038,0.00049181585,0.000031332846,0.013809707,0.0017919315,0.00008588624,0.000044404907,0.0000020327773,0.0021391104],"genre_scores_gemma":[0.99835426,0.00012374873,0.00020175995,0.0007445506,0.00033186114,0.000015387877,0.000015814692,0.0000061209,0.00020649997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988272,0.00010094637,0.00066640996,0.00013306519,0.00015478404,0.000117560194],"domain_scores_gemma":[0.9993649,0.00015241935,0.00026901875,0.000081197606,0.0000944638,0.000037981867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001603294,0.00007939036,0.00017159693,0.00024406904,0.000046795918,0.0000991207,0.00039271222,0.00003310616,0.00019780868],"category_scores_gemma":[0.00023331548,0.00006741446,0.000057723577,0.0002093763,0.000019382367,0.00023626622,0.000063112595,0.0003144157,0.000002777672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011647725,0.0011508091,0.8347903,0.000013100286,0.00005670983,0.000040829014,0.005195211,0.00009687921,0.000045006596,0.15258929,0.0028395455,0.003065852],"study_design_scores_gemma":[0.0005248908,0.000053468586,0.9601008,0.000019666626,0.0000024300532,0.00017678877,0.0021504036,0.00018371067,0.0000051113225,0.029812513,0.0068750926,0.00009512388],"about_ca_topic_score_codex":0.00033712477,"about_ca_topic_score_gemma":0.00009632556,"teacher_disagreement_score":0.12531051,"about_ca_system_score_codex":0.00030413514,"about_ca_system_score_gemma":0.00008626814,"threshold_uncertainty_score":0.27490819},"labels":[],"label_agreement":null},{"id":"W4280609536","doi":"10.24148/wp2022-10","title":"Minimum Wage Increases and Vacancies","year":2022,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Wage; Quarter (Canadian coin); Economics; Poverty; Demographic economics; Job loss; Labour economics; Low wage; Educational attainment; Unemployment; Economic growth; Geography","score_opus":0.025515672923325582,"score_gpt":0.21940987787884322,"score_spread":0.19389420495551765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280609536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688564,0.0098932125,0.00004364325,0.00088061055,0.00046884324,0.00020829366,0.00045088562,0.00005037028,0.01914776],"genre_scores_gemma":[0.99640244,0.0004210912,0.0005677178,0.00049142435,0.00011615225,0.00007235598,0.000050424762,0.00004300045,0.0018353787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997985,0.000092837276,0.00081587955,0.0005205547,0.00014726282,0.00043847144],"domain_scores_gemma":[0.99876755,0.0001852944,0.0004310979,0.0004687765,0.000044238794,0.00010301247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011031118,0.00025182412,0.00063422386,0.00017296804,0.0006446713,0.00016213376,0.0003997634,0.00007890216,0.0013845009],"category_scores_gemma":[0.00028164193,0.00028484978,0.00013152423,0.00039014095,0.00017655412,0.00040579066,0.0005913647,0.00030855823,0.000008254951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060834177,0.00023127352,0.65425247,0.00019480672,0.00018219902,0.000044746892,0.0013329502,0.00012556715,0.0006016635,0.33809945,0.0020925172,0.0022340093],"study_design_scores_gemma":[0.0017156734,0.0006483167,0.544323,0.000108603286,0.000019402527,0.000029065674,0.0014794205,0.00038758718,0.00017997395,0.17667899,0.27335426,0.001075709],"about_ca_topic_score_codex":0.0020107045,"about_ca_topic_score_gemma":0.0011156093,"teacher_disagreement_score":0.27126172,"about_ca_system_score_codex":0.00008254998,"about_ca_system_score_gemma":0.00003941425,"threshold_uncertainty_score":0.99996036},"labels":[],"label_agreement":null},{"id":"W4281556401","doi":"10.1111/labr.12226","title":"Worse than a double whammy: The intersectional causes of wage inequality between women of colour and White men over time","year":2022,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Wage; Current Population Survey; White (mutation); Race (biology); Demographic economics; Ethnic group; Population; Inequality; Economics; Distribution (mathematics); Demography; Labour economics; Gender studies; Sociology","score_opus":0.01997773394955484,"score_gpt":0.22643908768284296,"score_spread":0.2064613537332881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281556401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445784,0.0001255605,0.00003746121,0.00050586165,0.000116651296,0.00017277889,0.002515153,0.000012480046,0.0020562236],"genre_scores_gemma":[0.9974603,0.000026410047,0.00003616835,0.00009572027,0.000045792585,0.00004245695,0.000025281546,0.000014886571,0.0022529762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879676,0.00007825486,0.00058452005,0.00024619824,0.00008143041,0.00021285961],"domain_scores_gemma":[0.998998,0.00011424505,0.0004877362,0.0003052469,0.000042251326,0.00005255271],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001893349,0.00011440273,0.0004051047,0.00008576246,0.00012559358,0.000028415394,0.0002422516,0.000045417255,0.0016286435],"category_scores_gemma":[0.000034435197,0.00010562965,0.00006970882,0.00033266714,0.00007980757,0.000111454494,0.00033369157,0.0001819603,0.0000060650077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016730491,0.00010384565,0.85806346,0.000060813363,0.00019625726,0.0000017464167,0.0026206814,0.000059278842,0.000066944376,0.13842909,0.00014593692,0.00008467097],"study_design_scores_gemma":[0.0011539552,0.00014882417,0.9416696,0.000010038055,0.000010744363,0.00000148957,0.0007882868,0.00038301447,0.00005085639,0.049304493,0.00629108,0.00018761064],"about_ca_topic_score_codex":0.00161584,"about_ca_topic_score_gemma":0.00006179295,"teacher_disagreement_score":0.0891246,"about_ca_system_score_codex":0.000120664394,"about_ca_system_score_gemma":0.00003250758,"threshold_uncertainty_score":0.999284},"labels":[],"label_agreement":null},{"id":"W4281623852","doi":"10.1016/j.chieco.2022.101822","title":"Reasons for college major-job mismatch and labor market outcomes: Evidence from China","year":2022,"lang":"en","type":"article","venue":"China Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Matching (statistics); Promotion (chess); Variety (cybernetics); Demographic economics; Instrumental variable; Propensity score matching; Selection bias; Quarter (Canadian coin); China; Sample (material); Economics; Labour economics; Econometrics; Medicine; Statistics; Political science","score_opus":0.03037617620511241,"score_gpt":0.26379811892498184,"score_spread":0.23342194271986944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281623852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7331619,0.21575084,0.00019156467,0.017495636,0.0012947235,0.0019980953,0.022339163,0.00006964396,0.0076983757],"genre_scores_gemma":[0.8208557,0.16362672,0.002207994,0.0035456105,0.0002272253,0.0013863866,0.00026312598,0.00012901548,0.0077582253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712163,0.00013688082,0.0013287755,0.0009390768,0.00004770028,0.00042592007],"domain_scores_gemma":[0.9976165,0.0004654886,0.000804091,0.00092153373,0.000018424931,0.00017394083],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031612695,0.00035781664,0.0013747527,0.000106947366,0.00040896286,0.0000921958,0.0006528004,0.00007431775,0.0058445483],"category_scores_gemma":[0.00050494605,0.0003891702,0.0003439632,0.00017546142,0.000059626134,0.0003462016,0.00039175333,0.00027214672,0.00009565774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114015136,0.00013658922,0.64073277,0.002494765,0.000385969,0.000013087658,0.00033707343,0.000024628935,0.0000021876886,0.28916028,0.06330052,0.0032981182],"study_design_scores_gemma":[0.0010505896,0.0000947582,0.5958829,0.00051289937,0.00008309574,0.000013055793,0.000037175523,0.0027942932,8.071014e-7,0.1214638,0.27732182,0.0007448253],"about_ca_topic_score_codex":0.0012752437,"about_ca_topic_score_gemma":0.00011116577,"teacher_disagreement_score":0.21402128,"about_ca_system_score_codex":0.0004167839,"about_ca_system_score_gemma":0.00008424164,"threshold_uncertainty_score":0.999856},"labels":[],"label_agreement":null},{"id":"W4281725789","doi":"10.1111/caje.12592","title":"On the evolution of multiple jobholding in Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal; Bank of Canada","funders":"","keywords":"Schedule; Construct (python library); Demographic economics; Decomposition; Fraction (chemistry); Labour economics; Econometrics; Economics; Computer science; Management","score_opus":0.089432986259611,"score_gpt":0.1604314461396823,"score_spread":0.0709984598800713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281725789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923884,0.00035753875,0.00003969636,0.0024294457,0.0015425608,0.00019889977,0.001284473,0.00000129999,0.0017576462],"genre_scores_gemma":[0.9990597,0.000024123734,0.00003771753,0.0006326951,0.000086826985,0.000020260924,0.000007720884,0.000030780688,0.0001002092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977102,0.000086086184,0.001377301,0.00028158457,0.0000029407647,0.0005418755],"domain_scores_gemma":[0.9974051,0.00042305354,0.0012304664,0.00041231964,0.000064340864,0.00046472918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002072762,0.00018160962,0.00060176867,0.00070043467,0.00020984853,0.000036433146,0.0007444582,0.000054623244,0.0007177145],"category_scores_gemma":[0.00055652927,0.0002128733,0.00016174691,0.00028676767,0.000063988,0.00016101572,0.000042933236,0.0005194642,0.0000033086344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035490055,0.0000099543595,0.14400882,0.000009647211,0.000039972605,0.00003974043,0.00029142914,0.042824656,0.000001683842,0.8124294,0.00018950614,0.0001196973],"study_design_scores_gemma":[0.00081388623,0.00020776382,0.027346332,0.000032534695,0.0000069160733,0.000073690826,0.0019852133,0.01814307,0.000012107922,0.9432993,0.007703064,0.0003761211],"about_ca_topic_score_codex":0.9963458,"about_ca_topic_score_gemma":0.99993324,"teacher_disagreement_score":0.1308699,"about_ca_system_score_codex":0.01739987,"about_ca_system_score_gemma":0.00524211,"threshold_uncertainty_score":0.9863722},"labels":[],"label_agreement":null},{"id":"W4282030703","doi":"10.1108/ijm-04-2021-0213","title":"Does working while studying affect education mismatch among youth? Evidence from Zambia","year":2022,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multinomial logistic regression; Originality; Demographic economics; Affect (linguistics); School-to-work transition; Higher education; Work (physics); Value (mathematics); Logit; Psychology; Labour economics; Economics; Vocational education; Social psychology; Economic growth; Econometrics","score_opus":0.048014800928465315,"score_gpt":0.265876409489472,"score_spread":0.21786160856100667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282030703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98564976,0.0011038894,0.0010630351,0.0011951139,0.008587734,0.00009114421,0.00013686046,0.000010112982,0.0021623555],"genre_scores_gemma":[0.9978772,0.00015020772,0.0004437133,0.00030877648,0.00064057234,0.000008867576,0.000019758712,0.000018367922,0.00053254445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985259,0.00007763212,0.0007837459,0.00022962989,0.00024077763,0.00014232154],"domain_scores_gemma":[0.99827695,0.00020074316,0.0010921075,0.0001841287,0.00018234708,0.000063695086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014144407,0.0001154895,0.00025886061,0.000264218,0.00011745111,0.00020110582,0.00074271945,0.00003622018,0.0014860083],"category_scores_gemma":[0.00026665354,0.000100352074,0.00017115679,0.0001374322,0.000025147008,0.0004271286,0.00022931023,0.00034114797,0.00001575804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013222233,0.0003637846,0.9866787,0.0000047658145,0.000270198,0.000035291014,0.0039574695,0.0003601706,0.000049928924,0.0046691466,0.00051368185,0.002964598],"study_design_scores_gemma":[0.0016022943,0.00020130431,0.8511055,0.00049020123,0.00005749866,0.000029845134,0.007173613,0.001713668,0.00009786129,0.11261215,0.024252916,0.00066310994],"about_ca_topic_score_codex":0.0008100799,"about_ca_topic_score_gemma":0.000061178194,"teacher_disagreement_score":0.13557321,"about_ca_system_score_codex":0.00038164767,"about_ca_system_score_gemma":0.000068357935,"threshold_uncertainty_score":0.9994268},"labels":[],"label_agreement":null},{"id":"W4283776758","doi":"10.1016/j.jbusres.2022.06.036","title":"A house divided: A multilevel bibliometric review of the job search literature 1973–2020","year":2022,"lang":"en","type":"article","venue":"Journal of Business Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Econometrics","score_opus":0.11130385568832572,"score_gpt":0.339914580436914,"score_spread":0.2286107247485883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283776758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79917103,0.18163307,0.00048977765,0.014640968,0.0011334906,0.0006397607,0.00078600284,0.00001166631,0.0014942351],"genre_scores_gemma":[0.9337892,0.06470529,0.00022745866,0.00034117932,0.00021329176,0.00001935434,0.0000039774804,0.000041124582,0.0006591469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996393,0.0005844828,0.0014121002,0.0002800829,0.00087659503,0.00045368934],"domain_scores_gemma":[0.99556005,0.00055915536,0.0008600798,0.0006597471,0.0022316033,0.00012936811],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.015979111,0.00014538618,0.0006945439,0.0106165875,0.00035993004,0.00016289338,0.001531239,0.00007131147,0.0006652078],"category_scores_gemma":[0.004684374,0.0001102509,0.00032509697,0.073031805,0.00013746007,0.0003296105,0.0010427361,0.0015797269,0.000013692454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001181048,0.003799807,0.7187557,0.035282735,0.0010438949,0.0009524765,0.0028982363,0.0020887007,0.00085717824,0.08463947,0.09139681,0.057103902],"study_design_scores_gemma":[0.0014840474,0.00025552037,0.88420933,0.0030880142,0.000018791428,0.00025221962,0.00010865866,0.0011439004,0.000031855474,0.018396243,0.090689816,0.00032160955],"about_ca_topic_score_codex":0.00025518707,"about_ca_topic_score_gemma":0.0000050815283,"teacher_disagreement_score":0.16545358,"about_ca_system_score_codex":0.00028143718,"about_ca_system_score_gemma":0.00035813169,"threshold_uncertainty_score":0.94730705},"labels":[],"label_agreement":null},{"id":"W4285151300","doi":"10.2139/ssrn.4123779","title":"The Evolution of Inequality in Education Trajectories and Graduation Outcomes in the Us","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Graduation (instrument); Inequality; Mathematics education; Demographic economics; Political science; Sociology; Demography; Psychology; Economics; Mathematics","score_opus":0.01225572756001004,"score_gpt":0.23751339308341407,"score_spread":0.22525766552340404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285151300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99084514,0.0058235205,0.00044064905,0.0022131423,0.00024328582,0.00012813258,0.00001575505,0.0000019521076,0.00028843628],"genre_scores_gemma":[0.9984208,0.0013763919,0.0000075388125,0.000050528066,0.000026991707,0.000025953268,0.0000036942047,0.0000047140825,0.00008341006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986792,0.00021014138,0.00050836394,0.00011194894,0.0000687945,0.0004215483],"domain_scores_gemma":[0.9993632,0.00013934824,0.00032989355,0.00013510478,0.000022129741,0.000010344582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008365692,0.00006239828,0.00014855067,0.00012902253,0.00021971247,0.000036213223,0.00019926499,0.000021362643,0.0000045865395],"category_scores_gemma":[0.00021810323,0.000046205583,0.0000420348,0.0003321286,0.00003146214,0.000118857875,0.000028482267,0.0006973504,3.569645e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012553585,0.000056134362,0.4382487,0.0000018187509,0.0000067628694,6.288517e-8,0.00035789164,0.00004287071,0.0000012581246,0.5597612,0.0000014344224,0.0015093195],"study_design_scores_gemma":[0.00016548262,0.000045792498,0.42337894,0.0000010638472,0.0000013101802,0.000006618039,0.0031987482,0.00023773222,1.9284023e-7,0.5727082,0.00022061114,0.000035327765],"about_ca_topic_score_codex":0.003607255,"about_ca_topic_score_gemma":0.009767052,"teacher_disagreement_score":0.0148697505,"about_ca_system_score_codex":0.0013144192,"about_ca_system_score_gemma":0.00051115494,"threshold_uncertainty_score":0.54531145},"labels":[],"label_agreement":null},{"id":"W4285464997","doi":"10.32920/ryerson.14639715.v1","title":"Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Earnings; Wage; Selection bias; Demographic economics; Selection (genetic algorithm); Higher education; Positive selection; Economics; Gender gap; Labour economics; Psychology; Accounting; Economic growth; Statistics; Mathematics","score_opus":0.032558873294309766,"score_gpt":0.21195017771345215,"score_spread":0.1793913044191424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285464997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98041314,0.00058497314,0.000059319176,0.0066941017,0.0004863489,0.00042859215,0.0050533963,0.000013632011,0.0062665134],"genre_scores_gemma":[0.99712706,0.00034668078,0.00017079264,0.00043258243,0.000053105603,0.000008081982,0.00049886416,0.000018022105,0.0013448038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980586,0.00019095455,0.0006474095,0.0007525767,0.00006188774,0.00028854492],"domain_scores_gemma":[0.9983334,0.00030245088,0.00048363715,0.0006247273,0.00012811647,0.0001276754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014984191,0.00025266627,0.00062186323,0.00016477938,0.00014875385,0.000096929565,0.00039091226,0.00019364213,0.000258223],"category_scores_gemma":[0.00033189,0.0002617623,0.00009312222,0.0002638497,0.00007648257,0.00010521049,0.0006406188,0.0008211088,0.0000019739894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010326287,0.000044254964,0.9559897,0.00016337803,0.000057547997,0.000010829132,0.0005682455,0.000024721325,8.184302e-7,0.041047204,0.00018890204,0.0018940327],"study_design_scores_gemma":[0.00023065171,0.000010122443,0.96974903,0.00003441482,0.000010954484,0.0000013377793,0.00365838,0.00039262394,0.0000030092303,0.021484617,0.0040765,0.0003483511],"about_ca_topic_score_codex":0.978628,"about_ca_topic_score_gemma":0.9782449,"teacher_disagreement_score":0.019562585,"about_ca_system_score_codex":0.001639601,"about_ca_system_score_gemma":0.0060318722,"threshold_uncertainty_score":0.99998343},"labels":[],"label_agreement":null},{"id":"W4285465045","doi":"10.32920/ryerson.14638566","title":"Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Earnings; Demographic economics; Economics; Psychology; Medical education; Accounting; Medicine","score_opus":0.032558873294309766,"score_gpt":0.21195017771345215,"score_spread":0.1793913044191424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285465045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98041314,0.00058497314,0.000059319176,0.0066941017,0.0004863489,0.00042859215,0.0050533963,0.000013632011,0.0062665134],"genre_scores_gemma":[0.99712706,0.00034668078,0.00017079264,0.00043258243,0.000053105603,0.000008081982,0.00049886416,0.000018022105,0.0013448038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980586,0.00019095455,0.0006474095,0.0007525767,0.00006188774,0.00028854492],"domain_scores_gemma":[0.9983334,0.00030245088,0.00048363715,0.0006247273,0.00012811647,0.0001276754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014984191,0.00025266627,0.00062186323,0.00016477938,0.00014875385,0.000096929565,0.00039091226,0.00019364213,0.000258223],"category_scores_gemma":[0.00033189,0.0002617623,0.00009312222,0.0002638497,0.00007648257,0.00010521049,0.0006406188,0.0008211088,0.0000019739894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010326287,0.000044254964,0.9559897,0.00016337803,0.000057547997,0.000010829132,0.0005682455,0.000024721325,8.184302e-7,0.041047204,0.00018890204,0.0018940327],"study_design_scores_gemma":[0.00023065171,0.000010122443,0.96974903,0.00003441482,0.000010954484,0.0000013377793,0.00365838,0.00039262394,0.0000030092303,0.021484617,0.0040765,0.0003483511],"about_ca_topic_score_codex":0.978628,"about_ca_topic_score_gemma":0.9782449,"teacher_disagreement_score":0.019562585,"about_ca_system_score_codex":0.001639601,"about_ca_system_score_gemma":0.0060318722,"threshold_uncertainty_score":0.99998343},"labels":[],"label_agreement":null},{"id":"W4285465113","doi":"10.32920/ryerson.14639715","title":"Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Earnings; Wage; Selection bias; Demographic economics; Higher education; Selection (genetic algorithm); Positive selection; Economics; Gender gap; Labour economics; Psychology; Accounting; Medicine; Economic growth","score_opus":0.032558873294309766,"score_gpt":0.21195017771345215,"score_spread":0.1793913044191424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285465113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98041314,0.00058497314,0.000059319176,0.0066941017,0.0004863489,0.00042859215,0.0050533963,0.000013632011,0.0062665134],"genre_scores_gemma":[0.99712706,0.00034668078,0.00017079264,0.00043258243,0.000053105603,0.000008081982,0.00049886416,0.000018022105,0.0013448038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980586,0.00019095455,0.0006474095,0.0007525767,0.00006188774,0.00028854492],"domain_scores_gemma":[0.9983334,0.00030245088,0.00048363715,0.0006247273,0.00012811647,0.0001276754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014984191,0.00025266627,0.00062186323,0.00016477938,0.00014875385,0.000096929565,0.00039091226,0.00019364213,0.000258223],"category_scores_gemma":[0.00033189,0.0002617623,0.00009312222,0.0002638497,0.00007648257,0.00010521049,0.0006406188,0.0008211088,0.0000019739894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010326287,0.000044254964,0.9559897,0.00016337803,0.000057547997,0.000010829132,0.0005682455,0.000024721325,8.184302e-7,0.041047204,0.00018890204,0.0018940327],"study_design_scores_gemma":[0.00023065171,0.000010122443,0.96974903,0.00003441482,0.000010954484,0.0000013377793,0.00365838,0.00039262394,0.0000030092303,0.021484617,0.0040765,0.0003483511],"about_ca_topic_score_codex":0.978628,"about_ca_topic_score_gemma":0.9782449,"teacher_disagreement_score":0.019562585,"about_ca_system_score_codex":0.001639601,"about_ca_system_score_gemma":0.0060318722,"threshold_uncertainty_score":0.99998343},"labels":[],"label_agreement":null},{"id":"W4286438186","doi":"10.3138/cpp.2020-142","title":"Cohort Size and Youth Earnings: Evidence from Ontario","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Cohort; Demographic economics; Shock (circulatory); Bachelor; Wage; Labour supply; Census; Demography; Labour economics; Cohort effect; Economics; Hourly wage; Political science; Medicine; Sociology; Population; Accounting","score_opus":0.03572965330243037,"score_gpt":0.21372685206360054,"score_spread":0.17799719876117015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286438186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9637613,0.0006480196,0.000022032867,0.007856475,0.00027154654,0.00015274138,0.0032121248,0.000025016265,0.024050705],"genre_scores_gemma":[0.99166554,0.00007634157,0.00006763991,0.0033236993,0.0001508464,0.000033645952,0.000099735174,0.00002228342,0.004560291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985587,0.00004556349,0.00036057757,0.00046072807,0.00005588388,0.0005185634],"domain_scores_gemma":[0.99863344,0.00013373795,0.00018009698,0.00041149728,0.000027979166,0.00061322405],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000906562,0.00013814223,0.00027534354,0.00036044707,0.0004346186,0.00022978237,0.00036955925,0.000060587412,0.0036779805],"category_scores_gemma":[0.0013738008,0.00018474956,0.000058608945,0.0004400645,0.000059349255,0.00028049617,0.00016514125,0.00031561672,0.000046256962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028144732,0.000007977682,0.81772774,0.0000024012534,0.00003574433,0.0000064535784,0.0019781555,0.0000039378865,6.129953e-7,0.17950033,0.00039961142,0.00033420484],"study_design_scores_gemma":[0.00017838534,0.000024318433,0.831882,0.0000043164696,0.000004544768,0.0000030888123,0.00015315243,0.000106347,1.5620807e-7,0.030111145,0.1372908,0.0002417249],"about_ca_topic_score_codex":0.99245286,"about_ca_topic_score_gemma":0.9558207,"teacher_disagreement_score":0.14938918,"about_ca_system_score_codex":0.0021772631,"about_ca_system_score_gemma":0.0023422558,"threshold_uncertainty_score":0.9972328},"labels":[],"label_agreement":null},{"id":"W4287287865","doi":"","title":"La rémunération des emplois à prédominance féminine : l’apport de la prise en compte de la valeur comparable pour une véritable inclusion et considération en entreprise","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Art","score_opus":0.01778654323209198,"score_gpt":0.2527632577627958,"score_spread":0.23497671453070382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287287865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6977964,0.0030278028,0.22669162,0.009219454,0.00021997324,0.00059722236,0.00041197208,0.00012164226,0.061913878],"genre_scores_gemma":[0.87802696,0.011998494,0.09181636,0.00020079364,0.00004980688,0.00013961451,0.0014040493,0.00009763884,0.016266312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.97274524,0.02300906,0.0017621702,0.0014276769,0.00028121506,0.00077462615],"domain_scores_gemma":[0.98450756,0.009944057,0.0017407633,0.0021448205,0.0013458526,0.00031692628],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.042555604,0.0006397568,0.0011175076,0.00030403526,0.00096575654,0.0014357175,0.0012746063,0.0009815175,0.00045190656],"category_scores_gemma":[0.0066302423,0.00086546806,0.00034762727,0.0007850566,0.0007205741,0.0006256913,0.003076186,0.0015241212,0.000052290783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009411908,0.0031043543,0.22866541,0.00075997144,0.0002854761,0.00008693089,0.06182988,0.0046763537,0.0032500816,0.6795304,0.0008846226,0.016832413],"study_design_scores_gemma":[0.0038324683,0.0000058258915,0.42510107,0.0046672844,0.00021455692,0.00018852662,0.001402687,0.24423675,0.007814119,0.1893184,0.121281914,0.0019363834],"about_ca_topic_score_codex":0.010917373,"about_ca_topic_score_gemma":0.003178045,"teacher_disagreement_score":0.490212,"about_ca_system_score_codex":0.0011571596,"about_ca_system_score_gemma":0.0011791557,"threshold_uncertainty_score":0.9996009},"labels":[],"label_agreement":null},{"id":"W4287319567","doi":"","title":"Minimum Wage Effects on Human Capital Accumulation: Evidence from Canadian Data","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Human capital; Economics; Wage; Minimum wage; Labour economics; Economic growth","score_opus":0.15174089263615764,"score_gpt":0.36479406750107496,"score_spread":0.21305317486491732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287319567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631735,0.001134201,0.000010272218,0.001105785,0.0014003275,0.00083970727,0.0034504782,0.000032409946,0.028853338],"genre_scores_gemma":[0.9888992,0.005797642,0.00040416123,0.00027870608,0.00066324434,0.00012219962,0.0030132784,0.000105451305,0.00071613136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943022,0.0003466792,0.0014251001,0.0026321542,0.00015740929,0.0011364169],"domain_scores_gemma":[0.9925837,0.0016828327,0.00049790205,0.004582285,0.00011843698,0.0005348352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004335273,0.00050725724,0.0011381528,0.0008959909,0.00032902876,0.0008517427,0.0025933655,0.0008091824,0.0006286894],"category_scores_gemma":[0.002317483,0.0006701251,0.00021851184,0.00025461035,0.00017425118,0.00046879388,0.0026378967,0.002214593,0.000078600606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003055167,0.00096911343,0.7413183,0.0014789092,0.0015798811,0.0018947327,0.005155152,0.015549978,0.0001803484,0.08454408,0.0006165593,0.14640746],"study_design_scores_gemma":[0.002652638,0.00035662865,0.6866493,0.003303479,0.000045624685,0.0000069016173,0.00090851984,0.087699436,0.00014007822,0.19040003,0.02381286,0.0040244595],"about_ca_topic_score_codex":0.16455704,"about_ca_topic_score_gemma":0.31077468,"teacher_disagreement_score":0.14621764,"about_ca_system_score_codex":0.0025970035,"about_ca_system_score_gemma":0.00094283326,"threshold_uncertainty_score":0.999575},"labels":[],"label_agreement":null},{"id":"W4288086398","doi":"10.1093/restud/rdae094","title":"Direct and Indirect Effects of Subsidized Dual Apprenticeships","year":2024,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Subsidy; Economics; Dual (grammatical number); Apprenticeship; Microeconomics; Public economics; Market economy; Geography; Philosophy","score_opus":0.04312459827070382,"score_gpt":0.28727049330966353,"score_spread":0.24414589503895973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288086398","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29906517,0.6938024,0.000006776288,0.00046533937,0.000558048,0.00028170177,0.00008715827,0.000014616057,0.0057187504],"genre_scores_gemma":[0.5832798,0.4164302,0.000028702723,0.000058771737,0.000041565716,0.000025315641,0.000001919196,0.000009534641,0.00012421257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869794,0.000069854046,0.00080503465,0.00026715716,0.000021075719,0.00013892517],"domain_scores_gemma":[0.99819535,0.0010786337,0.00038311654,0.00029862442,0.000020741563,0.000023517148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021267363,0.0001453913,0.0010125083,0.0000784227,0.000043587945,0.00001860646,0.00014599846,0.00003054183,0.000039709837],"category_scores_gemma":[0.00044848895,0.0001058443,0.00017539527,0.00012204591,0.00017930308,0.000088069726,0.00014045517,0.00007385162,0.000031497133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026977836,0.00006975873,0.0074448776,0.1036741,0.0031260825,0.0000067989263,0.0019393428,0.000003830859,0.00005003161,0.8674974,0.0023522372,0.013808552],"study_design_scores_gemma":[0.003313019,0.00077782205,0.047399294,0.07447443,0.0022272058,0.00004655921,0.0008016394,0.0022702126,0.0056634434,0.6649408,0.1953354,0.0027501972],"about_ca_topic_score_codex":0.00004442517,"about_ca_topic_score_gemma":0.000014406369,"teacher_disagreement_score":0.2842146,"about_ca_system_score_codex":0.00004649968,"about_ca_system_score_gemma":0.000016944397,"threshold_uncertainty_score":0.43162054},"labels":[],"label_agreement":null},{"id":"W4291163689","doi":"10.1111/ecca.12441","title":"Training, Recruitment, and Outplacement as Endogenous Adverse Selection","year":2022,"lang":"en","type":"article","venue":"Economica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adverse selection; Human capital; Business; Human capital theory; Labour economics; Selection (genetic algorithm); Training (meteorology); Service (business); Actuarial science; Economics; Marketing; Computer science; Economic growth","score_opus":0.13114231355039435,"score_gpt":0.25965598466916595,"score_spread":0.1285136711187716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291163689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783382,0.00030888588,0.000082411236,0.00045566456,0.00053434115,0.00040371384,0.00031819264,0.00004736244,0.11951123],"genre_scores_gemma":[0.99587464,0.00012232074,0.00021357798,0.00062249927,0.00007620903,0.000237557,0.000039246403,0.000025360507,0.002788601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873805,0.00003685419,0.00047668573,0.0004516659,0.000022077407,0.00027466324],"domain_scores_gemma":[0.9993733,0.000039600076,0.00028704002,0.00020129405,0.000007783888,0.00009096282],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008888184,0.00013439453,0.00028274543,0.00013410031,0.00032013663,0.000041205585,0.00014350006,0.00003708196,0.003970709],"category_scores_gemma":[0.000032564487,0.00018404676,0.000075843374,0.00009149162,0.000028265365,0.00012012297,0.00015040218,0.00016380042,0.00018816102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013798129,0.0002301239,0.0541507,0.00002156679,0.00021885992,0.000015072283,0.003990996,0.00092136447,0.00011191705,0.93220747,0.00061879214,0.007375151],"study_design_scores_gemma":[0.0015507628,0.00043936566,0.007227907,0.0000025096265,0.000013098368,0.00010552097,0.0009872344,0.0048987363,0.000043365024,0.1360447,0.84812295,0.00056386756],"about_ca_topic_score_codex":0.00040993883,"about_ca_topic_score_gemma":0.000041757543,"teacher_disagreement_score":0.84750414,"about_ca_system_score_codex":0.00037957414,"about_ca_system_score_gemma":0.000038954262,"threshold_uncertainty_score":0.9969398},"labels":[],"label_agreement":null},{"id":"W4292409716","doi":"10.3390/socsci11080367","title":"How Has the Gender Earnings Gap in Ireland Changed in Thirty Years?","year":2022,"lang":"en","type":"article","venue":"Social Sciences","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Microdata (statistics); Wage; Economics; Demographic economics; Distribution (mathematics); Labour economics; Quantile; Glass ceiling; Inequality; Quantile regression; Gender gap; Quarter (Canadian coin); Demography; Econometrics; Geography; Population","score_opus":0.11909043130733908,"score_gpt":0.26608633287588757,"score_spread":0.14699590156854847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292409716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97724974,0.00029464863,0.000012991819,0.012818334,0.00029844567,0.00010543594,0.000039623563,0.000007883545,0.009172905],"genre_scores_gemma":[0.9990839,0.00002721796,0.000016945798,0.0004327204,0.00006913863,0.000028821276,0.000002161633,0.0000040496448,0.0003350414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917305,0.00008296985,0.00017686452,0.00023973275,0.00008443011,0.00024296979],"domain_scores_gemma":[0.9997139,0.000053257507,0.000140918,0.00007201835,0.000005422748,0.000014458325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030869548,0.00005654765,0.00014332168,0.00011379037,0.00051537156,0.00018228768,0.0003436059,0.000032079566,0.00017137971],"category_scores_gemma":[0.00009906341,0.000050711948,0.00004290069,0.0008456278,0.00020092956,0.00013004623,0.00014399741,0.00021726078,0.0000062680083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055037885,0.000043482618,0.6718224,0.0000035664295,0.0000041302287,0.0000059035965,0.011889055,0.00006276858,0.000003862091,0.3150646,0.0002590181,0.00083567266],"study_design_scores_gemma":[0.0002134743,0.000021757309,0.8087062,9.650641e-7,5.5506814e-7,3.9456177e-7,0.0023293071,0.000869335,3.5814483e-7,0.16579682,0.021951118,0.00010972478],"about_ca_topic_score_codex":0.0014691559,"about_ca_topic_score_gemma":0.001144051,"teacher_disagreement_score":0.1492678,"about_ca_system_score_codex":0.000107787346,"about_ca_system_score_gemma":0.000037934606,"threshold_uncertainty_score":0.39638737},"labels":[],"label_agreement":null},{"id":"W4293410237","doi":"","title":"Wage-led growth : concepts, theories and policies","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wage; Economics; Wage growth; Labour economics; Sociology; Neoclassical economics; Positive economics","score_opus":0.012690767171840792,"score_gpt":0.2195601736600296,"score_spread":0.20686940648818883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293410237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74605006,0.011250751,0.04231189,0.047752105,0.000987287,0.0007180509,0.0010652619,0.00014630052,0.14971828],"genre_scores_gemma":[0.9237541,0.012883253,0.01427731,0.00037067436,0.00006912494,0.00010227476,0.00039366042,0.0000759912,0.048073612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936452,0.0030231841,0.0013013899,0.0012203815,0.0001479047,0.0006619334],"domain_scores_gemma":[0.9924842,0.002259492,0.0012952114,0.002016987,0.001661181,0.0002829049],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008805028,0.00056668784,0.00097631424,0.00024811173,0.00057387236,0.0011725246,0.0012265245,0.00054851786,0.0009691082],"category_scores_gemma":[0.0033627567,0.0006832287,0.00029625554,0.00042687275,0.0010617498,0.00036994295,0.0018308541,0.00080182316,0.00019357108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007658153,0.00024940082,0.04062304,0.00019265158,0.00013409948,0.0000021161072,0.009710814,0.000007649629,0.000040203693,0.9395657,0.0003114816,0.009155192],"study_design_scores_gemma":[0.0009624351,0.0000011563603,0.10752834,0.0011538159,0.00005346947,0.000010301643,0.00046055397,0.014271934,0.0010354199,0.8080433,0.065296024,0.0011832707],"about_ca_topic_score_codex":0.01531924,"about_ca_topic_score_gemma":0.0021172755,"teacher_disagreement_score":0.17770404,"about_ca_system_score_codex":0.0002168153,"about_ca_system_score_gemma":0.00013136891,"threshold_uncertainty_score":0.99994415},"labels":[],"label_agreement":null},{"id":"W4294719534","doi":"10.1002/ise3.27","title":"Search, technology choice, and unemployment","year":2022,"lang":"en","type":"article","venue":"International Studies of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unemployment; Economics; Incentive; Wage; Wage bargaining; Labour economics; Bargaining power; Wage rate; Efficiency wage; Unemployment rate; Nash equilibrium; General equilibrium theory; Microeconomics; Macroeconomics","score_opus":0.05912831733731797,"score_gpt":0.28375719355350865,"score_spread":0.22462887621619068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294719534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849049,0.0031393436,0.000034327168,0.004463473,0.00071727857,0.00008671597,0.0005254787,0.000013364605,0.006115122],"genre_scores_gemma":[0.99616027,0.0027720085,0.00032270155,0.00020738527,0.000047632162,0.000037138936,0.000012196425,0.000010352566,0.00043033424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913776,0.000008316558,0.00046339288,0.00024658418,0.000020553192,0.00012342159],"domain_scores_gemma":[0.9994519,0.000087874534,0.00024012878,0.0001494434,0.000048285146,0.000022364777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046805388,0.00008073482,0.00026128045,0.0002303248,0.00011612665,0.000014124295,0.00026919376,0.000024019339,0.00016837774],"category_scores_gemma":[0.00010824942,0.000101350415,0.000048251142,0.00008847843,0.00011741888,0.00007260203,0.00065652386,0.00010729279,0.000007532108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008690567,0.000049653663,0.1898647,0.000007437227,0.0002421585,6.998361e-7,0.0001216479,0.0009928774,0.0000028291897,0.80720353,0.00010071196,0.001405076],"study_design_scores_gemma":[0.000883807,0.00015692407,0.023320526,0.000005819455,0.0000062012105,0.0000073769534,0.0009932764,0.004069858,0.00006333843,0.75875753,0.21146287,0.0002724561],"about_ca_topic_score_codex":0.00015573716,"about_ca_topic_score_gemma":0.000045938174,"teacher_disagreement_score":0.21136217,"about_ca_system_score_codex":0.00022354064,"about_ca_system_score_gemma":0.0000103021575,"threshold_uncertainty_score":0.413295},"labels":[],"label_agreement":null},{"id":"W4295951540","doi":"10.2139/ssrn.4204019","title":"Heading for the Exits: Unemployment Compensation and the Duration of Unemployment in an Economic Downturn","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Generosity; Recession; Odds; Duration (music); Quarter (Canadian coin); Baseline (sea); Coronavirus disease 2019 (COVID-19); Full employment","score_opus":0.021909821128685166,"score_gpt":0.24716906319815815,"score_spread":0.22525924206947298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295951540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98521996,0.0027470193,0.00598567,0.0051124315,0.00028211504,0.0004798411,0.00006178863,0.000004538015,0.000106626794],"genre_scores_gemma":[0.9979368,0.0016349127,0.000032792854,0.00013302332,0.000075162665,0.000076626806,0.000012001582,0.000012526874,0.00008615314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984472,0.00010631144,0.0007161641,0.00017001803,0.000044729393,0.0005156172],"domain_scores_gemma":[0.99900216,0.00023980875,0.00055016857,0.00016714341,0.000019032157,0.000021676811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077460073,0.00008895743,0.00022374098,0.000096448544,0.00036016706,0.000064578,0.00022731822,0.00002256312,0.000032316144],"category_scores_gemma":[0.000049011283,0.00006649889,0.00007383217,0.00009240466,0.00005177118,0.00014385837,0.00005543333,0.000476506,7.937865e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019092228,0.000037548136,0.018206773,0.00000387057,0.00005367069,9.8630956e-8,0.00050371,0.004774474,0.0000077231325,0.97415584,0.0000054209745,0.0020599687],"study_design_scores_gemma":[0.0023831497,0.00027450733,0.0051987083,0.0000034199822,0.000012325075,0.00001917806,0.0016800442,0.082611576,0.0000061263836,0.9058697,0.0018289373,0.00011231578],"about_ca_topic_score_codex":0.00064798264,"about_ca_topic_score_gemma":0.002658631,"teacher_disagreement_score":0.0778371,"about_ca_system_score_codex":0.0010729672,"about_ca_system_score_gemma":0.00019165462,"threshold_uncertainty_score":0.2805772},"labels":[],"label_agreement":null},{"id":"W4296080195","doi":"10.2139/ssrn.4155065","title":"Learning to Discriminate on the Job","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Race (biology); Psychology; Yield (engineering); White (mutation); Racial group; Social psychology; Demographic economics; Economics; Sociology; Economic growth","score_opus":0.016774091033768288,"score_gpt":0.21827952770902243,"score_spread":0.20150543667525414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296080195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681875,0.00054849626,0.0018262792,0.012727959,0.00040988126,0.00011750734,0.000024329585,0.000018541059,0.016139515],"genre_scores_gemma":[0.9907916,0.00041663574,0.000013711901,0.0010798393,0.00012616468,0.000022955175,0.0000025685142,0.000023368106,0.007523121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980013,0.000110639456,0.00034369563,0.00021929393,0.000081496015,0.0012436],"domain_scores_gemma":[0.999429,0.00008064219,0.0002105674,0.00020155948,0.00001846345,0.00005977418],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00552774,0.000108900844,0.00017243606,0.00013232174,0.00086089387,0.00009070279,0.0004466654,0.000020821653,0.0004438425],"category_scores_gemma":[0.0002023339,0.00009161395,0.000117681775,0.0002773674,0.000014882809,0.00006280356,0.00014148778,0.0023273297,0.00013357673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032641667,0.000031190273,0.006147807,9.368439e-7,0.00004425829,0.0000023865812,0.00036951277,0.0011836797,0.000005994161,0.9895006,0.00010888734,0.0025721327],"study_design_scores_gemma":[0.00020624542,0.000525886,0.003577976,0.0000022667064,0.0000037396962,0.000042655975,0.0022347167,0.00065371674,0.0000019092856,0.9498492,0.04273526,0.00016645246],"about_ca_topic_score_codex":0.0001354832,"about_ca_topic_score_gemma":0.0001200972,"teacher_disagreement_score":0.042626373,"about_ca_system_score_codex":0.001057376,"about_ca_system_score_gemma":0.00016981676,"threshold_uncertainty_score":0.99997437},"labels":[],"label_agreement":null},{"id":"W4297515210","doi":"10.3138/cpp.2022-005","title":"Earnings Gaps between Native-Born Canadians and Immigrants: The Role of Firms in British Columbia, Ontario, and Quebec","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada; HEC Montréal","funders":"","keywords":"Immigration; Earnings; Demographic economics; Native-Born; Economics; Geography; Labour economics; Political science; Finance; Law","score_opus":0.009408540091405567,"score_gpt":0.18639330297473178,"score_spread":0.1769847628833262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297515210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822564,0.0010310571,0.0000010796346,0.0056027058,0.000047231857,0.00019417092,0.0038614657,0.0000055582595,0.0070002917],"genre_scores_gemma":[0.9952508,0.00007787756,0.000006901199,0.0010610374,0.000046820405,0.000040742467,0.00006505428,0.000018034245,0.0034326839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869275,0.000058666225,0.0004027508,0.0003067261,0.000046662066,0.00049241754],"domain_scores_gemma":[0.9990964,0.000074665964,0.00018273578,0.00021936366,0.000035556306,0.00039125892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085904676,0.00008965624,0.00030877316,0.0003802934,0.00037945312,0.0003175018,0.0002831454,0.00006549293,0.0007151495],"category_scores_gemma":[0.00029250546,0.00014574105,0.000035217876,0.0006665163,0.00014890572,0.00016703903,0.00009611353,0.00032534008,0.0000012665479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.8673385e-7,0.0000074892127,0.94772524,0.000005726681,0.000024484902,0.0000075420294,0.001388299,0.0000011251559,2.06347e-7,0.036322065,0.00035937253,0.014157888],"study_design_scores_gemma":[0.00019526608,0.000016469918,0.6897406,0.000003181801,0.0000017316165,0.00000588283,0.00045465198,0.000049196897,5.1259224e-8,0.019632805,0.28978106,0.000119065975],"about_ca_topic_score_codex":0.9999832,"about_ca_topic_score_gemma":0.9999967,"teacher_disagreement_score":0.2894217,"about_ca_system_score_codex":0.0014703026,"about_ca_system_score_gemma":0.0023303262,"threshold_uncertainty_score":0.78303856},"labels":[],"label_agreement":null},{"id":"W4298059091","doi":"","title":"Labor-Market Scars When Youth Unemployment Is Extremely High: Evidence from Macedonia","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Scars; Unemployment; Youth unemployment; Economics; Labour economics; Medicine; Macroeconomics; Surgery","score_opus":0.07657850552692413,"score_gpt":0.29831362439476594,"score_spread":0.2217351188678418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298059091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9216306,0.0027428912,0.00009810295,0.004774474,0.0021042938,0.0013337842,0.016604718,0.00010581412,0.05060531],"genre_scores_gemma":[0.9553057,0.03383445,0.0012330613,0.00043247562,0.00063616707,0.0003075203,0.00022680902,0.00020912924,0.007814675],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9921169,0.00043728176,0.0024792224,0.0030207075,0.0002895824,0.0016562653],"domain_scores_gemma":[0.9933205,0.0015011276,0.0011367684,0.0032980982,0.00025410423,0.000489349],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062407367,0.0008300946,0.0017547242,0.0009621552,0.0002388927,0.0006101346,0.0023290939,0.0010497432,0.0029695965],"category_scores_gemma":[0.0013734013,0.0009037944,0.00048541796,0.00027255865,0.00043965696,0.00042841598,0.0029359641,0.002009805,0.00022110544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013983801,0.0009221752,0.74696016,0.0007525283,0.0016445799,0.00018226687,0.007942273,0.0012890616,0.000070421724,0.05907028,0.001777044,0.17799084],"study_design_scores_gemma":[0.002583548,0.00020858373,0.07322271,0.0023949787,0.000045451216,0.00000281566,0.00063635735,0.011434676,0.00012241966,0.8757808,0.030675666,0.0028919645],"about_ca_topic_score_codex":0.0048064003,"about_ca_topic_score_gemma":0.0010496351,"teacher_disagreement_score":0.81671053,"about_ca_system_score_codex":0.0029326705,"about_ca_system_score_gemma":0.00055752904,"threshold_uncertainty_score":0.99934125},"labels":[],"label_agreement":null},{"id":"W4298179869","doi":"10.21034/wp.729","title":"Multidimensional Skill Mismatch","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"National Longitudinal Surveys; Earnings; Human capital; Portfolio; Empirical evidence; Aptitude; Productivity; Wage; Empirical research; Vocational education; Cognitive skill; Psychology; Economics; Econometrics; Labour economics; Cognition; Developmental psychology","score_opus":0.04907426110198483,"score_gpt":0.25594917257524696,"score_spread":0.20687491147326215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298179869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6747474,0.0023189518,0.008356196,0.0021820203,0.004245158,0.00048415235,0.0020512696,0.0002026104,0.30541223],"genre_scores_gemma":[0.97110355,0.00019599285,0.011837629,0.00074506475,0.00031831485,0.000041635685,0.00038938754,0.000059514517,0.015308912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99783534,0.000027500877,0.0009211411,0.0008054823,0.00007169341,0.00033887394],"domain_scores_gemma":[0.99822825,0.0000581929,0.0004953434,0.00086284516,0.00015546451,0.0001998838],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015283432,0.00031685905,0.00072702515,0.00016795214,0.000050575327,0.000093657,0.0003870341,0.00045588787,0.0014750123],"category_scores_gemma":[0.00022950939,0.00033905866,0.000235649,0.000104301,0.00004762426,0.00007321087,0.0009323144,0.0005396548,0.001396791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015064026,0.0001693313,0.0133113405,0.00008637502,0.000110358545,0.000012836541,0.00023961335,0.00058898464,0.0000014337224,0.9742137,0.010988502,0.00026244324],"study_design_scores_gemma":[0.00044920377,0.000016929625,0.00546301,0.00002779173,0.000007063772,0.0000020364275,0.000025226564,0.019964851,0.000006270179,0.9140757,0.059335567,0.00062635454],"about_ca_topic_score_codex":0.001495357,"about_ca_topic_score_gemma":0.000056986893,"teacher_disagreement_score":0.29635614,"about_ca_system_score_codex":0.00022373024,"about_ca_system_score_gemma":0.00010148026,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W4298542716","doi":"10.3386/w13867","title":"Employer-to-Employer Flows in the United States: Estimates Using Linked Employer-Employee Data","year":2008,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alfred P. Sloan Foundation; National Institute on Aging; National Science Foundation","keywords":"Pace; Earnings; Labour economics; Quarter (Canadian coin); Business; Demographic economics; Labor mobility; Economics; Finance","score_opus":0.5781114881445167,"score_gpt":0.5061425266428176,"score_spread":0.07196896150169918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298542716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8998948,0.002539389,0.00036884018,0.0026606945,0.0017305196,0.0031890306,0.015511226,0.000087676475,0.074017875],"genre_scores_gemma":[0.96502835,0.01062093,0.0033486802,0.00053245854,0.0017841604,0.00031427495,0.016454946,0.0003636021,0.0015525877],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9923298,0.00039374374,0.0031856766,0.0018413084,0.001081483,0.0011680239],"domain_scores_gemma":[0.99154305,0.003047024,0.0010634128,0.002482958,0.0016187703,0.0002447962],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.020754937,0.0006269384,0.0015997547,0.00371958,0.00036140459,0.00033169423,0.0039641014,0.00074674486,0.0004207246],"category_scores_gemma":[0.00586965,0.0006161595,0.0002856041,0.0016828803,0.00036826407,0.00052692887,0.0013059173,0.0017868301,0.00037385983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004518799,0.0013771822,0.43258104,0.0011287217,0.0016417674,0.00018693497,0.0022724743,0.06286129,0.000023628112,0.34193075,0.15483832,0.00070601533],"study_design_scores_gemma":[0.0016100748,0.00030039798,0.041590307,0.00043723336,0.000039793766,0.00008303516,0.00019776005,0.09647022,0.00000527523,0.6875045,0.17016919,0.0015922412],"about_ca_topic_score_codex":0.04978677,"about_ca_topic_score_gemma":0.003242436,"teacher_disagreement_score":0.39099073,"about_ca_system_score_codex":0.0029479873,"about_ca_system_score_gemma":0.0026554016,"threshold_uncertainty_score":0.99962896},"labels":[],"label_agreement":null},{"id":"W4298877890","doi":"","title":"Estimating the Returns to Firm-Sponsored on-the-Job and Classroom Training","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Human Resources and Skills Development Canada","keywords":"Training (meteorology); On-the-job training; Business; Job training; Labour economics; Economics; Psychology; Pedagogy; Vocational education; Economic growth; Geography; Internship","score_opus":0.06809159898863494,"score_gpt":0.3079312638520884,"score_spread":0.23983966486345348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298877890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93324363,0.00012566002,0.00003966368,0.008878911,0.0010430267,0.0010607352,0.00048049705,0.000033478027,0.05509441],"genre_scores_gemma":[0.9938286,0.0008122793,0.0023714476,0.00079093955,0.00044337413,0.0003637106,0.000026588341,0.00009211023,0.0012709567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99605197,0.00027573574,0.0012417885,0.0013260314,0.0001229247,0.0009815748],"domain_scores_gemma":[0.9948126,0.002538443,0.00046747367,0.0018483625,0.00008097477,0.00025214546],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010599641,0.00041999365,0.00081416115,0.00046959234,0.00051273545,0.0006238932,0.0013910783,0.0005765876,0.00015298155],"category_scores_gemma":[0.0043229726,0.00035104464,0.00020396351,0.00024751696,0.00040003142,0.00008891956,0.0014627972,0.003903361,0.000039065457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004899542,0.0003037039,0.062066294,0.00040515466,0.0005178266,0.000072498435,0.015269829,0.030161781,0.00007911755,0.6816845,0.00037704722,0.20857228],"study_design_scores_gemma":[0.00097608153,0.00023491165,0.08060127,0.00044522603,0.000013018694,0.000019692732,0.0018795565,0.30132517,0.000015960828,0.5639637,0.04895727,0.0015681272],"about_ca_topic_score_codex":0.0002936284,"about_ca_topic_score_gemma":0.0013246132,"teacher_disagreement_score":0.2711634,"about_ca_system_score_codex":0.0004927068,"about_ca_system_score_gemma":0.00022958069,"threshold_uncertainty_score":0.99989414},"labels":[],"label_agreement":null},{"id":"W4299908620","doi":"","title":"Vacation Leave, Work Hours and Wages: New Evidence from Linked Employer-Employee Data","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Work hours; Work (physics); Business; Economics; Working hours; Engineering","score_opus":0.1339107056499497,"score_gpt":0.33642104389295024,"score_spread":0.20251033824300055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299908620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98510516,0.0034882575,0.0004937424,0.0014222105,0.0010520073,0.0009448664,0.001337322,0.000081003265,0.0060754525],"genre_scores_gemma":[0.9402204,0.053034835,0.0033595983,0.00020260442,0.0009163038,0.0000958249,0.0008712471,0.00014264924,0.0011564967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99396145,0.00032108268,0.0017963074,0.0027764393,0.00016191327,0.0009827741],"domain_scores_gemma":[0.9923614,0.0019241022,0.0008213231,0.0043456443,0.000108975015,0.00043854918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006584677,0.00055510935,0.0013006378,0.00066906103,0.00018564402,0.00071684737,0.0026347607,0.0009032653,0.00019252743],"category_scores_gemma":[0.0035636306,0.0006893546,0.00015418224,0.00029846092,0.0002926061,0.00052307436,0.004460023,0.002266595,0.00008778465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018484383,0.00011220857,0.868846,0.00017544726,0.00024645927,0.000015047449,0.00067348103,0.0025012894,0.000005548956,0.0034982685,0.000554738,0.123186655],"study_design_scores_gemma":[0.001398048,0.00012881987,0.733539,0.0016300362,0.000033601395,0.0000026824046,0.00016893169,0.021744858,0.000007685861,0.2234647,0.016078161,0.00180347],"about_ca_topic_score_codex":0.0048251958,"about_ca_topic_score_gemma":0.0013734552,"teacher_disagreement_score":0.21996643,"about_ca_system_score_codex":0.000822718,"about_ca_system_score_gemma":0.00045765415,"threshold_uncertainty_score":0.99955577},"labels":[],"label_agreement":null},{"id":"W4300342769","doi":"","title":"The economics of Prozac: do employees really gain from strong employment protection?","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics; Labour economics","score_opus":0.024521953133259958,"score_gpt":0.23078892343295865,"score_spread":0.2062669702996987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300342769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559121,0.0041092928,0.0020551549,0.0007001501,0.005463832,0.0019117614,0.00616077,0.00014312017,0.023543801],"genre_scores_gemma":[0.99310845,0.001289858,0.0014597244,0.00008679604,0.00087019353,0.0006203768,0.0003395182,0.00016748278,0.0020575714],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99369687,0.00019567546,0.0033694215,0.0017402354,0.00013105426,0.0008667445],"domain_scores_gemma":[0.993202,0.0004581109,0.0035911037,0.0023162952,0.0002054614,0.0002270415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024437513,0.00087762787,0.0017937939,0.00041447763,0.0004643017,0.0005384624,0.0014284704,0.00082328694,0.00062077405],"category_scores_gemma":[0.00028102225,0.00089932117,0.00080994895,0.00018832218,0.00061473146,0.00027191723,0.0009387481,0.0012521361,0.00017184138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104354825,0.000367126,0.82379377,0.00014139271,0.00075649796,0.0000066745856,0.00025038165,0.001711965,0.000005911465,0.16947259,0.0014514748,0.0019378776],"study_design_scores_gemma":[0.0023556128,0.00038781902,0.385783,0.00042636177,0.00016367319,0.000011878189,0.00021538905,0.0065064123,0.00013753206,0.5463297,0.054704152,0.0029785042],"about_ca_topic_score_codex":0.009551877,"about_ca_topic_score_gemma":0.0043237736,"teacher_disagreement_score":0.43801075,"about_ca_system_score_codex":0.0012080929,"about_ca_system_score_gemma":0.0005919148,"threshold_uncertainty_score":0.9993457},"labels":[],"label_agreement":null},{"id":"W4300748522","doi":"","title":"The Gender Pay Gap for Private Sector Employees in Canada and Britain","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gender pay gap; Private sector; Gender gap; Business; Labour economics; Demographic economics; Economics; Economic growth; Wage","score_opus":0.05332221800517489,"score_gpt":0.28326171099897507,"score_spread":0.22993949299380018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300748522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831583,0.0011038479,0.000026049562,0.0012764628,0.00057217525,0.0013006466,0.00078110554,0.000013640399,0.011767803],"genre_scores_gemma":[0.9784659,0.019736169,0.0004344278,0.0002203939,0.00015979167,0.0003224134,0.0000641644,0.000066386114,0.0005303269],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996259,0.00016262104,0.0013217786,0.0011058353,0.00008771818,0.0010630935],"domain_scores_gemma":[0.9972388,0.0011294527,0.00039414546,0.0009869412,0.000070485265,0.00018017717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005036273,0.00034142425,0.00079004455,0.0003269284,0.00022125569,0.00032866898,0.0007987797,0.0003097268,0.00002292906],"category_scores_gemma":[0.0007488138,0.00031434366,0.00013344189,0.00015106991,0.0001555529,0.00009088864,0.0006590486,0.0013048009,0.0000016753338],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024286269,0.00016185288,0.6832048,0.0004130769,0.00020943116,0.00004186514,0.00038103148,0.004008218,0.0000034618342,0.21282588,0.0001418046,0.09836572],"study_design_scores_gemma":[0.0010303027,0.00006997028,0.31981933,0.000086103995,0.0000039695396,0.000002911923,0.00021585224,0.01835159,0.000004896964,0.6117624,0.04790829,0.0007443591],"about_ca_topic_score_codex":0.30890533,"about_ca_topic_score_gemma":0.8825324,"teacher_disagreement_score":0.57362705,"about_ca_system_score_codex":0.00290219,"about_ca_system_score_gemma":0.0012354049,"threshold_uncertainty_score":0.99993086},"labels":[],"label_agreement":null},{"id":"W4300800639","doi":"","title":"Labour market institutions and unemployment: Does finance matter?","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Financial system; Macroeconomics","score_opus":0.04887969866210777,"score_gpt":0.29130841932210483,"score_spread":0.24242872065999704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300800639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6911016,0.00069028593,0.000019728372,0.0006334509,0.00086625916,0.0006233996,0.0016715907,0.000034807854,0.30435884],"genre_scores_gemma":[0.9523053,0.0339471,0.00082656153,0.00025373526,0.00016640092,0.0003091721,0.00007213481,0.000081758386,0.012037812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99592316,0.00015492222,0.0013486964,0.0015482737,0.000077939054,0.00094703434],"domain_scores_gemma":[0.99750113,0.00023922947,0.00052558683,0.0014462728,0.000087787805,0.00019999659],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032515721,0.00045214847,0.0009713621,0.00074600935,0.00025333976,0.00030599095,0.00086795754,0.0005947264,0.0010514602],"category_scores_gemma":[0.00032625484,0.00048647943,0.00018792413,0.0002133936,0.0005136001,0.00023084036,0.0017597659,0.0015816054,0.000087552275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100352256,0.00030893233,0.32314447,0.00045552696,0.00016637411,0.000041262825,0.00044541195,0.00043746067,0.0000019101883,0.6609011,0.00011487679,0.013882297],"study_design_scores_gemma":[0.00086976116,0.000059085047,0.20816216,0.00024080518,0.00000786347,0.000008396157,0.00012049033,0.003548627,0.000009027975,0.6494492,0.13646825,0.0010563146],"about_ca_topic_score_codex":0.0013425678,"about_ca_topic_score_gemma":0.0011276236,"teacher_disagreement_score":0.29232103,"about_ca_system_score_codex":0.00072202145,"about_ca_system_score_gemma":0.00026446747,"threshold_uncertainty_score":0.9998617},"labels":[],"label_agreement":null},{"id":"W4300803112","doi":"10.46692/9781847426611.006","title":"Welfare state institutions, unemployment and poverty: comparative analysis of unemployment benefits and labour market participation in 15 European Union countries","year":2011,"lang":"en","type":"other","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Welfare state; Poverty; European union; Economics; Welfare; Labour economics; State (computer science); Eu countries; International economics; Economic growth; Political science; Market economy","score_opus":0.04652125910292589,"score_gpt":0.26755992474249435,"score_spread":0.22103866563956845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300803112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4330777,0.00674489,0.0006826078,0.000609191,0.00022282079,0.00074868026,0.008970378,0.00006978243,0.54887396],"genre_scores_gemma":[0.96464556,0.004357243,0.00014786376,0.00014606296,0.000013117682,0.000019291869,0.00023218036,0.0000614392,0.030377211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998298,0.0001563199,0.00079948816,0.00047195665,0.000060771163,0.0002134592],"domain_scores_gemma":[0.99888164,0.000033508884,0.00065672724,0.00030190285,0.00004531957,0.00008089999],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011059099,0.00026007564,0.0008568158,0.00086005946,0.000050479113,0.00005324668,0.000109738205,0.00010067488,0.0019574275],"category_scores_gemma":[0.000022696708,0.00026234842,0.000060277984,0.00052402937,0.000109068824,0.000095329306,0.00012059619,0.0001026143,0.000010112114],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033207023,0.00016852614,0.43320835,0.000117325915,0.0007392906,0.0000030475262,0.0005295736,0.00022284602,1.2127086e-7,0.562361,0.0018358009,0.00078088325],"study_design_scores_gemma":[0.00073586486,0.000089560395,0.7447946,0.00008858489,0.00016762926,2.4014662e-7,0.00007441655,0.0016727211,0.0000016870927,0.0019939202,0.24993643,0.0004443068],"about_ca_topic_score_codex":0.0077621755,"about_ca_topic_score_gemma":0.020219086,"teacher_disagreement_score":0.5603671,"about_ca_system_score_codex":0.0000817043,"about_ca_system_score_gemma":0.000017986371,"threshold_uncertainty_score":0.9999829},"labels":[],"label_agreement":null},{"id":"W4301243576","doi":"10.17016/feds.2007.30","title":"Employer-to-Employer Flows in the United States: Estimates using Linked Employer-Employee Data","year":2007,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Earnings; Labour economics; Quarter (Canadian coin); Business; Demographic economics; Economics; Finance","score_opus":0.07363803261591947,"score_gpt":0.2905276050333218,"score_spread":0.21688957241740234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301243576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991138,0.0003684986,0.0031611861,0.0027630138,0.0004776028,0.00048552346,0.0011968799,0.000055909833,0.00035341972],"genre_scores_gemma":[0.9901088,0.002101954,0.0050624176,0.0016236044,0.00018303668,0.00003238104,0.0005669209,0.00008271037,0.00023819106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966856,0.00004672997,0.0013917821,0.0010323833,0.000062199484,0.0007812888],"domain_scores_gemma":[0.99772644,0.00021839423,0.00041292896,0.001447565,0.000049360944,0.00014531377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028682481,0.00042902993,0.00073221594,0.00048434883,0.0003677211,0.00037577818,0.0010461954,0.0002113065,0.00005435677],"category_scores_gemma":[0.00022548756,0.00030974534,0.00008765527,0.000691498,0.00014765884,0.0011358269,0.00061816175,0.00034153758,0.00007237358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004346824,0.00028663315,0.8655716,0.00012023176,0.00009311054,0.000048610476,0.006176045,0.0074219606,0.000029737977,0.11558981,0.0009678907,0.00325969],"study_design_scores_gemma":[0.0015802225,0.00029527585,0.5307694,0.00019611942,0.000032238655,0.0000391025,0.0026161238,0.044274807,0.00003440675,0.18315598,0.23536128,0.0016450204],"about_ca_topic_score_codex":0.0016215347,"about_ca_topic_score_gemma":0.0028744068,"teacher_disagreement_score":0.33480218,"about_ca_system_score_codex":0.00013762151,"about_ca_system_score_gemma":0.00004881301,"threshold_uncertainty_score":0.99993545},"labels":[],"label_agreement":null},{"id":"W4301722234","doi":"10.2139/ssrn.2964782","title":"Returns to On-the-Job Search and the Dispersion of Wages","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Wage dispersion; Dispersion (optics); Labour economics; Economics; Business; Efficiency wage; Wage; Physics","score_opus":0.021672737984575488,"score_gpt":0.24590448960273537,"score_spread":0.2242317516181599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301722234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697342,0.0013337999,0.00055143796,0.02285813,0.00014262406,0.00013173968,0.000022588378,0.000002779858,0.005222734],"genre_scores_gemma":[0.99266005,0.0055305082,0.000014724945,0.00021114964,0.00010911418,0.0000027453827,4.4602692e-7,0.000010403092,0.0014608335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873453,0.000054047927,0.0002979678,0.00015664709,0.00006230157,0.00069450674],"domain_scores_gemma":[0.99909335,0.00013456371,0.00023125189,0.0004505605,0.000039651208,0.000050609233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061506988,0.000087112596,0.00021738646,0.000059395665,0.0005816093,0.00016738696,0.0005530624,0.00004114085,0.000038463717],"category_scores_gemma":[0.00044359613,0.00005184814,0.00009392426,0.000053320575,0.00015490745,0.00009403086,0.00011894603,0.00078752305,0.000019267609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010426177,0.000013413004,0.01322125,0.00000313265,0.000055660556,5.0402525e-7,0.00028286438,0.000008821398,0.000008920136,0.9842637,0.000035390305,0.0020020492],"study_design_scores_gemma":[0.0008603201,0.00016813524,0.033544432,0.000018005541,0.000006855029,0.000018292127,0.00056773704,0.00068293145,0.000024533152,0.96263504,0.0013603528,0.00011337303],"about_ca_topic_score_codex":0.00040038183,"about_ca_topic_score_gemma":0.00080584263,"teacher_disagreement_score":0.022925908,"about_ca_system_score_codex":0.00015210587,"about_ca_system_score_gemma":0.000102044716,"threshold_uncertainty_score":0.44733274},"labels":[],"label_agreement":null},{"id":"W4301778347","doi":"10.1108/s0147-9121(2012)0000036015","title":"Research in Labor Economics","year":2012,"lang":"en","type":"other","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; Economics; Incentive; Wage; Promotion (chess); Labour economics; Labor relations; Political science; Law; Politics","score_opus":0.1477978702495047,"score_gpt":0.3693008153439739,"score_spread":0.22150294509446922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301778347","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18464032,0.0130604515,0.0000070271412,0.0034683119,0.0018685253,0.0017898096,0.006353399,0.00009876031,0.7887134],"genre_scores_gemma":[0.45832467,0.12905125,0.0017592196,0.0006358889,0.004650525,0.001214359,0.0007858985,0.0030348238,0.40054333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99149215,0.0007405669,0.00229661,0.0020380411,0.00017292338,0.0032597359],"domain_scores_gemma":[0.9951422,0.0010853637,0.0006753453,0.0023283833,0.00018238182,0.0005863245],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.021626597,0.00069547805,0.0018791504,0.0068373727,0.00017022571,0.00047342063,0.0020935717,0.0016011895,0.004152316],"category_scores_gemma":[0.00042948246,0.00090450677,0.00022452034,0.002362486,0.0006751406,0.0004951996,0.0010468414,0.0036876097,0.0043634535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008598852,0.0005026504,0.07086905,0.00036807932,0.000101453705,0.000036972964,0.0002275962,0.00012348621,6.5077734e-7,0.91265255,0.012204793,0.0028267568],"study_design_scores_gemma":[0.0011838373,0.000068644855,0.0074650235,0.00021772446,0.0000023993564,0.0000026736552,0.00020498324,0.00090737006,0.0000035838107,0.23152086,0.7575969,0.0008259885],"about_ca_topic_score_codex":0.015302092,"about_ca_topic_score_gemma":0.02115342,"teacher_disagreement_score":0.74539214,"about_ca_system_score_codex":0.003224161,"about_ca_system_score_gemma":0.00070431986,"threshold_uncertainty_score":0.99969494},"labels":[],"label_agreement":null},{"id":"W4301912413","doi":"10.1257/rct.2299-4.0","title":"Employment Discrimination against Indigenous Peoples in the United States: Evidence from a Field Experiment","year":2017,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; University of Victoria; Tulane University","keywords":"Indigenous; Field (mathematics); Political science; Geography; Demographic economics; Economics; Biology; Mathematics; Ecology","score_opus":0.06860678150770705,"score_gpt":0.3297667322504887,"score_spread":0.26115995074278164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301912413","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0633453,0.016133187,0.0006986907,0.0024519654,0.001837547,0.010456806,0.9049259,0.000026827955,0.0001237738],"genre_scores_gemma":[0.07422539,0.055576075,0.00005146875,0.0017744771,0.0005648116,0.0055607203,0.86207426,0.000041147454,0.00013166593],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.98808014,0.0046670423,0.0054762578,0.0009165741,0.00029873464,0.00056122156],"domain_scores_gemma":[0.94420755,0.047414448,0.0063542216,0.0018095343,0.00011939975,0.00009482381],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.041765723,0.0007230238,0.010406016,0.00076422247,0.00034943203,0.0010015873,0.0016519206,0.0005255307,0.0003811842],"category_scores_gemma":[0.063658684,0.00046101335,0.0018997821,0.00021530682,0.00011817779,0.0002457027,0.00017497297,0.0005766856,0.000097756],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.58856535,0.0011350979,0.00016482148,0.0002084021,0.005609772,0.0001479343,0.011659149,0.00033908224,0.000006017224,0.0029684475,0.38858408,0.0006118566],"study_design_scores_gemma":[0.88435316,0.00017553885,0.00007410339,0.0009266796,0.0010892759,8.713729e-7,0.00069730723,0.0014784168,0.000008678565,0.030150741,0.079974644,0.0010705715],"about_ca_topic_score_codex":0.050960083,"about_ca_topic_score_gemma":0.0053787557,"teacher_disagreement_score":0.30860943,"about_ca_system_score_codex":0.00027217524,"about_ca_system_score_gemma":0.00019089726,"threshold_uncertainty_score":0.9997842},"labels":[],"label_agreement":null},{"id":"W4302082090","doi":"10.2139/ssrn.1356533","title":"Are Short-Lived Jobs Stepping Stones to Long-Lasting Jobs?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Unemployment; Spell; Counterfactual thinking; Quarter (Canadian coin); Labour economics; Displaced workers; Stepping stone; Demographic economics; Economics; Term (time); Psychology; Geography; Sociology; Economic growth; Social psychology","score_opus":0.031778820426350815,"score_gpt":0.2535506882600294,"score_spread":0.22177186783367858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302082090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486136,0.0028470275,0.043638606,0.0022063914,0.00043523934,0.00016674786,0.000021335067,0.000048610873,0.0020224531],"genre_scores_gemma":[0.9964405,0.0010724976,0.00027687877,0.0007714957,0.00047803085,0.0000021563133,0.000004285446,0.000033025473,0.0009211797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996273,0.000048403217,0.000867356,0.00044399235,0.0001014555,0.002265809],"domain_scores_gemma":[0.9987601,0.000056794073,0.0005626207,0.0003109037,0.00010631446,0.00020327583],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030864743,0.00025673988,0.0005105911,0.00030619945,0.0003805268,0.00023185623,0.00045054537,0.00011895595,0.00006217427],"category_scores_gemma":[0.0003770063,0.00027813547,0.00019684479,0.00041158262,0.00002148864,0.00030573946,0.000057976893,0.0013605336,0.00010289849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072916686,0.00013518224,0.42217806,0.000011477063,0.00016478324,0.00003350798,0.00022514314,0.000534424,0.00010133526,0.5563115,0.000041755953,0.020189907],"study_design_scores_gemma":[0.00049050845,0.0002875196,0.473528,0.00005751677,0.000014285756,0.00015090243,0.00038545954,0.00082164386,0.00001654882,0.5226637,0.0010774884,0.0005064327],"about_ca_topic_score_codex":0.00007895727,"about_ca_topic_score_gemma":0.0006845322,"teacher_disagreement_score":0.05134992,"about_ca_system_score_codex":0.0011049425,"about_ca_system_score_gemma":0.00021733875,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W4302307174","doi":"10.29412/res.wp.2022.12","title":"Bad Times, Bad Jobs? How Recessions Affect Early Career Trajectories","year":2022,"lang":"en","type":"report","venue":"Working paper series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institut für Arbeitsmarkt- und Berufsforschung","keywords":"Recession; Earnings; Economics; Labour economics; Welfare; Current Population Survey; Quarter (Canadian coin); Preference; Affect (linguistics); Population; Demographic economics; Finance; Microeconomics","score_opus":0.050917955768852094,"score_gpt":0.2486088947919425,"score_spread":0.19769093902309043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302307174","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12343871,0.05836191,0.00012429836,0.0048428806,0.02834351,0.0014020043,0.005412124,0.0007729073,0.77730167],"genre_scores_gemma":[0.8656262,0.01012953,0.0003745743,0.00025609828,0.0013707902,0.00030235216,0.00078467064,0.000250675,0.120905116],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99631566,0.00015093798,0.0010626642,0.0012664286,0.00038127208,0.00082302105],"domain_scores_gemma":[0.9968949,0.00026025964,0.0011862442,0.0012936379,0.00018033251,0.00018461088],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002340872,0.00072717475,0.0015386647,0.00038138757,0.00076256756,0.00069716346,0.00081841194,0.0006225425,0.0046566976],"category_scores_gemma":[0.0008895865,0.0007922484,0.00057300075,0.00078765914,0.00017012295,0.0004851494,0.00052522594,0.0012936629,0.00006485107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016329727,0.00017186062,0.77641755,0.00059683406,0.0012228629,0.00024671303,0.0029490849,0.00003812806,0.000022782806,0.15522605,0.054553878,0.00839097],"study_design_scores_gemma":[0.00019965712,0.00010501184,0.09975423,0.00017919659,0.0000530259,0.000021432785,0.00017917204,0.0000047677954,0.000002994213,0.0104584275,0.8880772,0.0009648748],"about_ca_topic_score_codex":0.0022013574,"about_ca_topic_score_gemma":0.0014611328,"teacher_disagreement_score":0.83352333,"about_ca_system_score_codex":0.0007793324,"about_ca_system_score_gemma":0.0003795532,"threshold_uncertainty_score":0.9994528},"labels":[],"label_agreement":null},{"id":"W4302395046","doi":"10.3386/w19640","title":"Recall and Unemployment","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; Toulouse School of Economics; Brown University; National Science Foundation","keywords":"Unemployment; Recall; Psychology; Economics; Cognitive psychology; Macroeconomics","score_opus":0.4099778567716551,"score_gpt":0.4748280665302703,"score_spread":0.06485020975861522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302395046","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024446571,0.0038573875,0.00001347278,0.0017288025,0.0008085349,0.0006299634,0.0009871165,0.000016059943,0.9675121],"genre_scores_gemma":[0.9380186,0.012534629,0.00046281342,0.00007933288,0.00094600406,0.00020787472,0.00058754836,0.000091408314,0.04707176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969158,0.00007890033,0.0014095294,0.00077131623,0.0003863203,0.00043809213],"domain_scores_gemma":[0.99705595,0.0006233907,0.0007029469,0.00043724285,0.0010253802,0.00015511677],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009889042,0.00023630123,0.00081121625,0.0008868104,0.00010522004,0.00013887686,0.00045417232,0.00046296732,0.0018354824],"category_scores_gemma":[0.0013604346,0.0002679255,0.00016255118,0.00016376302,0.00026321158,0.0001816418,0.00032289655,0.0006608554,0.00056093134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011999752,0.00006208346,0.0078029763,0.0001763049,0.00015684789,0.0000013246604,0.00002709969,0.000023463981,0.0000023291366,0.9515938,0.03917694,0.00096483465],"study_design_scores_gemma":[0.00026455295,0.00006144325,0.0032192194,0.000046757334,0.0000032403793,0.00000512127,0.000008910366,0.00089167897,0.000005241229,0.8357461,0.15951109,0.00023664524],"about_ca_topic_score_codex":0.008268954,"about_ca_topic_score_gemma":0.0001459462,"teacher_disagreement_score":0.9204403,"about_ca_system_score_codex":0.0016960936,"about_ca_system_score_gemma":0.0009326623,"threshold_uncertainty_score":0.9999773},"labels":[],"label_agreement":null},{"id":"W4302834437","doi":"10.2139/ssrn.2999692","title":"Per Capita Income and the Demand for Skills","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Per capita income; Economics; Total personal income; Per capita; Adjusted gross income; Demographic economics; Income elasticity of demand; Labour economics; Agricultural economics; Business; Gross income; Public economics; Sociology; Demography","score_opus":0.009174691776879315,"score_gpt":0.23000941488625487,"score_spread":0.22083472310937555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302834437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96862864,0.006620327,0.016168108,0.0057564494,0.00037611445,0.00022409702,0.00004658042,0.0000068251297,0.0021728647],"genre_scores_gemma":[0.9899802,0.007811261,0.0000930647,0.00012217114,0.00025534892,0.000012565543,0.0000015296271,0.000016737366,0.0017070832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984397,0.000024693405,0.00035991738,0.00019033032,0.000031018193,0.00095430843],"domain_scores_gemma":[0.99895287,0.00011294818,0.0004819966,0.00035725487,0.000042546726,0.00005237331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005523375,0.00011008546,0.00028115258,0.000049861123,0.00072377984,0.0003625261,0.000429422,0.00006302244,0.000030486375],"category_scores_gemma":[0.0003134606,0.000080605016,0.00012740497,0.000014349178,0.00014971751,0.00022926253,0.000077143755,0.00056389906,0.000022747408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005024304,0.000016182275,0.04507668,0.000005249734,0.00009610993,3.2496487e-7,0.00015595678,0.000002165296,8.706475e-7,0.95260143,0.000007969597,0.001986844],"study_design_scores_gemma":[0.0021073632,0.000056078316,0.055107836,0.000004141079,0.000011406023,0.00004048975,0.00009456584,0.00053481327,9.888561e-7,0.93964326,0.0022770893,0.00012197752],"about_ca_topic_score_codex":0.00018586688,"about_ca_topic_score_gemma":0.00061488675,"teacher_disagreement_score":0.021351606,"about_ca_system_score_codex":0.00018626417,"about_ca_system_score_gemma":0.00013372171,"threshold_uncertainty_score":0.55668026},"labels":[],"label_agreement":null},{"id":"W4304141593","doi":"10.1093/restud/rdac067","title":"Career Spillovers in Internal Labour Markets","year":2022,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Spillover effect; Promotion (chess); Pension; Labour economics; Wage; Wage growth; Exploit; Economics; Private sector; Business; Demographic economics; Finance; Economic growth; Political science; Macroeconomics","score_opus":0.04937561236605441,"score_gpt":0.2817320305120286,"score_spread":0.2323564181459742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304141593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5023546,0.4702441,0.0000073999176,0.004338192,0.0011047636,0.00039039375,0.0005480555,0.000009783489,0.021002667],"genre_scores_gemma":[0.8008806,0.19667074,0.000033469252,0.0013598591,0.000046635196,0.000082478786,0.0000044476883,0.00001327531,0.00090845337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985177,0.000092622584,0.00091407204,0.00025242113,0.000031203985,0.00019200254],"domain_scores_gemma":[0.9988435,0.00018575547,0.00054949184,0.000381656,0.000019210322,0.000020421901],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033215564,0.00012733908,0.0007066365,0.00008762491,0.00008765812,0.000008487252,0.0004441988,0.000014145112,0.0011543712],"category_scores_gemma":[0.00022102911,0.00011031247,0.00016799198,0.00013777782,0.000079338846,0.00006538463,0.00045988004,0.00016430345,0.000055737135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046472353,0.00007082321,0.08915909,0.0025325348,0.00044881742,0.0000069375606,0.0008244195,0.0001939675,8.173136e-7,0.8973374,0.00584451,0.003534267],"study_design_scores_gemma":[0.0013856897,0.00014908776,0.10804557,0.001560343,0.000049603215,0.000018460238,0.0019298956,0.00067651074,0.000005833766,0.26946774,0.6159688,0.0007424303],"about_ca_topic_score_codex":0.00040781975,"about_ca_topic_score_gemma":0.000078655714,"teacher_disagreement_score":0.6278696,"about_ca_system_score_codex":0.00039014168,"about_ca_system_score_gemma":0.000023347342,"threshold_uncertainty_score":0.9997587},"labels":[],"label_agreement":null},{"id":"W4308624693","doi":"10.1007/s11294-022-09857-4","title":"Economic Growth and Female Employment across Sectors","year":2022,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Labour economics; Economic sector; Economy","score_opus":0.0575598531670512,"score_gpt":0.3772177415712485,"score_spread":0.3196578884041973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308624693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602152,0.001777324,0.00006066678,0.0012187934,0.0016272028,0.00022484278,0.0011147686,0.000017034412,0.033744138],"genre_scores_gemma":[0.99581814,0.002348606,0.00012286614,0.00010822151,0.00018649414,0.00021672918,0.000044182427,0.000025998694,0.001128756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979868,0.000085176565,0.0007050051,0.00066485896,0.00008924761,0.00046894376],"domain_scores_gemma":[0.9991633,0.00027866944,0.00019646641,0.0002574322,0.000021485788,0.0000826102],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028291477,0.00013548593,0.0002866623,0.00038559694,0.00026334685,0.0001554239,0.0006705148,0.000040980045,0.001553839],"category_scores_gemma":[0.00009823138,0.0001757253,0.00006572604,0.000107881475,0.00015198512,0.00060479116,0.00081809063,0.00043207276,0.00016128435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005980674,0.000056006953,0.40344054,0.000009621926,0.000024141247,0.000008440016,0.00037722825,0.0033032454,0.0000037820087,0.59104973,0.00006293556,0.0016045191],"study_design_scores_gemma":[0.0012983812,0.0001377507,0.048970707,0.000009069329,6.574326e-7,0.000016248494,0.00084424234,0.011719273,0.000045536908,0.75822717,0.17833352,0.00039742046],"about_ca_topic_score_codex":0.0019751491,"about_ca_topic_score_gemma":0.0010393424,"teacher_disagreement_score":0.35446984,"about_ca_system_score_codex":0.0016311988,"about_ca_system_score_gemma":0.000055526903,"threshold_uncertainty_score":0.9993589},"labels":[],"label_agreement":null},{"id":"W4315641457","doi":"10.1111/ecin.13135","title":"Optimal unemployment policy","year":2023,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Simon Fraser University; Royal Economic Society; Université du Québec à Montréal","keywords":"Unemployment; Economics; Variety (cybernetics); Consumption smoothing; Indirect Inference; Consumption (sociology); Fiscal policy; Inference; Externality; Population; Public economics; Labour economics; Econometrics; Macroeconomics; Microeconomics; Computer science","score_opus":0.0589988412180912,"score_gpt":0.2879785981256027,"score_spread":0.22897975690751152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315641457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965439,0.00011892966,0.00045820558,0.0031578853,0.0034618075,0.0001621136,0.00032812302,0.00023123293,0.026642676],"genre_scores_gemma":[0.9916073,0.00023001901,0.00026189603,0.00063403364,0.001985024,0.00004326867,0.000083743595,0.000047958132,0.005106748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825644,0.000017385328,0.0006908682,0.00051679934,0.000022638911,0.00049587],"domain_scores_gemma":[0.9990488,0.000060396214,0.00023413697,0.0005253386,0.000010516375,0.00012078419],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010261064,0.00017917695,0.00036900683,0.00042240956,0.00011334327,0.00009755617,0.00032058495,0.00011097086,0.00073958957],"category_scores_gemma":[0.00007817768,0.00022266801,0.00015028084,0.00028107865,0.000090737056,0.00020690195,0.00018603865,0.00012460283,0.013048179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013206148,0.000028257924,0.020695504,0.00001472561,0.000058596077,0.000009235339,0.00062943774,0.0044528153,0.0000051645698,0.96154296,0.0117896125,0.0007604814],"study_design_scores_gemma":[0.001379559,0.00010875816,0.064996,0.000014525974,0.0000064656388,0.000008227995,0.0003394027,0.04455247,0.000062999105,0.3980105,0.4895049,0.0010162076],"about_ca_topic_score_codex":0.0004710044,"about_ca_topic_score_gemma":0.000018676184,"teacher_disagreement_score":0.5635325,"about_ca_system_score_codex":0.00040334594,"about_ca_system_score_gemma":0.00006851764,"threshold_uncertainty_score":0.98772025},"labels":[],"label_agreement":null},{"id":"W4317233949","doi":"10.2139/ssrn.4324842","title":"Worker Skills or Firm Wage-Setting Practices? Decomposing Wage Inequality Across 20 OECD Countries","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Labour economics; Wage dispersion; Economics; Wage; Inequality; Earnings; Wage inequality; Workforce; Efficiency wage; Collective bargaining; Wage share","score_opus":0.025464830684454706,"score_gpt":0.30601886403386114,"score_spread":0.28055403334940643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317233949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98640996,0.0027094253,0.004112138,0.0036533568,0.0009816076,0.00023127826,0.000280865,0.0001461086,0.0014752713],"genre_scores_gemma":[0.98532397,0.008488666,0.0003018986,0.0005029693,0.0006026083,0.000014710288,0.000055409077,0.000077384786,0.0046323817],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940586,0.00017136303,0.0014248021,0.0006164313,0.00018367989,0.0035451427],"domain_scores_gemma":[0.9962257,0.00067388045,0.0022992708,0.00050027604,0.00012369774,0.00017714138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.015312563,0.00035225536,0.000652446,0.00023106241,0.00089448923,0.0006784897,0.0006169659,0.00022942631,0.00032026987],"category_scores_gemma":[0.0014698127,0.00033252945,0.0002529542,0.0006483712,0.000091787726,0.0009379972,0.00022516976,0.002210606,0.0007573015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005010874,0.00037505475,0.49998417,0.000092759095,0.00087560277,0.00014935803,0.002717696,0.00050752825,0.000053507938,0.47019586,0.0008790697,0.023668312],"study_design_scores_gemma":[0.0030730641,0.0003867742,0.08235862,0.00013545509,0.00005512858,0.0003673231,0.0037386948,0.005678739,0.000044195953,0.7903495,0.11228375,0.0015287461],"about_ca_topic_score_codex":0.0003357601,"about_ca_topic_score_gemma":0.0026809338,"teacher_disagreement_score":0.41762555,"about_ca_system_score_codex":0.0013178671,"about_ca_system_score_gemma":0.00076376786,"threshold_uncertainty_score":0.9999127},"labels":[],"label_agreement":null},{"id":"W4317824501","doi":"10.55365/1923.x2022.20.92","title":"The Extent of Field-of-Study Mismatch in Thailand and its Impact on Earnings","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Degree (music); Bachelor; Wage; Bachelor degree; Demographic economics; Human capital; Economics; Psychology; Labour economics; Geography; Economic growth; Management; Accounting; Physics","score_opus":0.019722184567211778,"score_gpt":0.26493408557518966,"score_spread":0.24521190100797788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317824501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9139509,0.08425569,0.0000019935176,0.00040576226,0.00007047639,0.00032185606,0.00014898737,9.122078e-7,0.00084340444],"genre_scores_gemma":[0.72559565,0.2742449,0.000012195873,0.00007125794,0.000004735962,0.000020432684,0.0000017903933,0.000005614082,0.00004341762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99876195,0.00004039927,0.00082990824,0.00022478217,0.000019069405,0.00012391408],"domain_scores_gemma":[0.9987175,0.0002149767,0.0007792397,0.00025114953,0.000019733208,0.000017427476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017891463,0.000104886785,0.0005997702,0.000060869155,0.0000643318,0.0000085205365,0.00016968878,0.000023067354,0.000027141894],"category_scores_gemma":[0.00011331374,0.00008806743,0.00008691854,0.000120939934,0.000028156512,0.00004631697,0.00012803619,0.00012418257,5.9506146e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016790997,0.00043965405,0.4394204,0.0015968566,0.00008917322,0.000002592649,0.0006266476,0.0006649578,0.0000029929074,0.53874373,0.00008541494,0.018159654],"study_design_scores_gemma":[0.002288996,0.0027457743,0.8665584,0.0013063953,0.000032092674,0.000009858312,0.00025314407,0.016567761,0.000042024305,0.053516183,0.05605265,0.00062677555],"about_ca_topic_score_codex":0.00023223637,"about_ca_topic_score_gemma":0.000025971463,"teacher_disagreement_score":0.48522756,"about_ca_system_score_codex":0.00002960545,"about_ca_system_score_gemma":0.000020801283,"threshold_uncertainty_score":0.35912853},"labels":[],"label_agreement":null},{"id":"W4318425662","doi":"10.1111/joes.12545","title":"Gender wage transparency and the gender pay gap: A survey","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation; Danmarks Grundforskningsfond; Copenhagen Business School","keywords":"Gender pay gap; Transparency (behavior); Economics; Wage; Gender gap; Labour economics; Demographic economics; Political science; Law","score_opus":0.12135043678930078,"score_gpt":0.2762019840401549,"score_spread":0.1548515472508541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318425662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98615074,0.0012133805,0.002649129,0.0008334195,0.001880055,0.0001566844,0.000637598,0.000018610304,0.006460403],"genre_scores_gemma":[0.9967776,0.0022388268,0.000053902877,0.00017838436,0.00022750354,0.000004586025,0.000021724665,0.00003119559,0.0004662955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971986,0.0006689724,0.0014546729,0.0002899936,0.000049771923,0.00033799437],"domain_scores_gemma":[0.9973889,0.0011413229,0.0009328933,0.00034187367,0.000065232096,0.00012976764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027888848,0.00018966098,0.00072714896,0.00026081872,0.00012069101,0.00014612122,0.0003952127,0.000106964944,0.0003898686],"category_scores_gemma":[0.0004584673,0.00013265408,0.00024438647,0.00022636738,0.00014163509,0.00027857156,0.00006632229,0.00031404596,0.00018600003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013777809,0.00004413981,0.8758478,0.00002930171,0.0003969356,0.00002041128,0.00091525057,0.00049161783,0.0000024598714,0.11856125,0.0020417282,0.0015112788],"study_design_scores_gemma":[0.0018608086,0.000026622118,0.8548329,0.000004430105,0.000011406415,0.00001754718,0.0000649679,0.0027261311,0.0000015021799,0.13838895,0.0018727379,0.00019204339],"about_ca_topic_score_codex":0.0007510829,"about_ca_topic_score_gemma":0.00046629648,"teacher_disagreement_score":0.02743038,"about_ca_system_score_codex":0.00010340955,"about_ca_system_score_gemma":0.00008167936,"threshold_uncertainty_score":0.96657735},"labels":[],"label_agreement":null},{"id":"W4320033579","doi":"10.2139/ssrn.4354836","title":"Race and the Income-Achievement Gap","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Race (biology); Demographic economics; Psychology; Sociology; Economics; Gender studies","score_opus":0.015116055170412142,"score_gpt":0.22641157438332576,"score_spread":0.21129551921291362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320033579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724847,0.0052072015,0.0036406969,0.013382112,0.00037209367,0.00015538363,0.000020671427,0.00003835103,0.004698788],"genre_scores_gemma":[0.97531205,0.02053824,0.000021169266,0.00022915372,0.00014379212,0.000008701134,0.0000033844844,0.000016704844,0.0037267846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813443,0.000055883946,0.0004248187,0.00018779069,0.000051204872,0.0011458412],"domain_scores_gemma":[0.9993852,0.00010208641,0.00024439453,0.00019410424,0.000022040256,0.00005217525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075860373,0.00010798159,0.00025438407,0.000119856784,0.0002701293,0.00011434809,0.00023676865,0.00004596997,0.000031543066],"category_scores_gemma":[0.00014058826,0.00008166359,0.000092795504,0.00030290955,0.00007891571,0.000113188704,0.00009369815,0.0008263635,0.00012252395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041615025,0.0000117322115,0.025780354,0.000003951073,0.00008594182,0.000001528985,0.00013384767,0.0000175864,0.0000012731334,0.9717847,0.000039621376,0.0020978218],"study_design_scores_gemma":[0.0012489964,0.00004875126,0.01569694,0.0000041626076,0.0000056293607,0.00002938269,0.0003131266,0.0016417038,6.2614964e-7,0.9735735,0.0073204003,0.00011675904],"about_ca_topic_score_codex":0.00015377912,"about_ca_topic_score_gemma":0.0002489272,"teacher_disagreement_score":0.015331038,"about_ca_system_score_codex":0.0002766729,"about_ca_system_score_gemma":0.00013141074,"threshold_uncertainty_score":0.35901842},"labels":[],"label_agreement":null},{"id":"W4320176221","doi":"10.1016/j.jebo.2022.12.017","title":"The incubated revolution: Education, cohort effects, and the linguistic wage gap in Quebec during the 20th century","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"University of Pittsburgh; Texas Tech University","keywords":"Wage; Closing (real estate); Economics; Cohort; Human capital; Labour economics; Demographic economics; Capital (architecture); Market economy; Geography","score_opus":0.007558741213525753,"score_gpt":0.22084364617957072,"score_spread":0.21328490496604496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320176221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948125,0.0010716759,0.00003513204,0.001803611,0.0016750376,0.0003763716,0.0000140662205,0.000012592043,0.00019903546],"genre_scores_gemma":[0.9958368,0.0031420263,0.000008289605,0.00006894794,0.00030482444,0.00001679956,0.000017963996,0.000024346284,0.00058003014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861294,0.00010472026,0.0008963315,0.0001623154,0.000038380233,0.00018531593],"domain_scores_gemma":[0.9986714,0.0002501635,0.00064628274,0.00026095536,0.00012846543,0.000042703206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022948948,0.000114510534,0.00026856785,0.00014112427,0.0003722735,0.0002110072,0.0002827462,0.000067987705,0.00004061267],"category_scores_gemma":[0.00070387014,0.00006842016,0.00005543509,0.00034141497,0.00011184191,0.0001772641,0.00008288737,0.00023647585,0.000039145758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034897064,0.000050972754,0.8839364,0.000024788453,0.000043578424,0.000004724298,0.0011954465,0.0001591557,0.000037341684,0.11357249,0.0001896232,0.0007505579],"study_design_scores_gemma":[0.0007418886,0.000011542702,0.9894918,0.000022278573,0.000034474724,0.000019505682,0.00020608958,0.00045863487,0.000028326182,0.0068918513,0.0019871055,0.00010645976],"about_ca_topic_score_codex":0.001824351,"about_ca_topic_score_gemma":0.0010825385,"teacher_disagreement_score":0.10668064,"about_ca_system_score_codex":0.0004972152,"about_ca_system_score_gemma":0.00011930552,"threshold_uncertainty_score":0.28632644},"labels":[],"label_agreement":null},{"id":"W4321338995","doi":"10.2139/ssrn.4783711","title":"Differences in On-the-Job Learning Across Firms","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Institut für Arbeitsmarkt- und Berufsforschung; W.E. Upjohn Institute for Employment Research","keywords":"Business; Labour economics; Psychology; Economics","score_opus":0.02130653893677459,"score_gpt":0.24399628432579493,"score_spread":0.22268974538902034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321338995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834881,0.0065296288,0.0016988749,0.003359341,0.00046840063,0.00006325955,0.00001644829,0.000027122587,0.004348823],"genre_scores_gemma":[0.9904404,0.005395321,0.0000054331526,0.00011686384,0.00019122001,0.000006918977,0.0000015767524,0.000020365316,0.0038219017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774104,0.000055176923,0.0004492621,0.00026078185,0.000056274865,0.0014374893],"domain_scores_gemma":[0.9994894,0.00019909632,0.00011849179,0.00013860794,0.000013977843,0.000040375333],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0046408456,0.00013303118,0.0002301941,0.000118128555,0.00020217546,0.0003150163,0.00030233766,0.00007303154,0.00012564377],"category_scores_gemma":[0.00019688773,0.00010115094,0.00012163373,0.00032991907,0.000039965187,0.00014607792,0.000041495154,0.0024773274,0.00019434173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010597102,0.000019451367,0.08850598,0.000006057325,0.0000533653,0.000007920784,0.00036168066,0.00003170506,0.0000020650295,0.90717494,0.000015941292,0.003810312],"study_design_scores_gemma":[0.00017823477,0.00013418138,0.024825335,0.000039533174,0.0000019643123,0.0000326516,0.0006308427,0.0040664575,0.0000017396729,0.96432215,0.005594467,0.00017241975],"about_ca_topic_score_codex":0.00021487034,"about_ca_topic_score_gemma":0.0009795411,"teacher_disagreement_score":0.06368065,"about_ca_system_score_codex":0.0006084783,"about_ca_system_score_gemma":0.00019672167,"threshold_uncertainty_score":0.999824},"labels":[],"label_agreement":null},{"id":"W4321361481","doi":"10.22111/sedj.2022.42494.1207","title":"The Effect of the Minimum wage on the Income Distribution of Developingband Developed Countries","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Income distribution; Distribution (mathematics); Economics; Labour economics; Wage; Demographic economics; Mathematics; Inequality","score_opus":0.12598634054097138,"score_gpt":0.4346887878511509,"score_spread":0.3087024473101795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321361481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892158,0.004893979,0.00018362419,0.00096394395,0.00084864633,0.0005985553,0.0012060975,0.0000063731795,0.0020829735],"genre_scores_gemma":[0.9971719,0.0023081123,0.0000064042474,0.0001420585,0.00003533036,0.000071399525,0.000017555323,0.000022532417,0.00022471673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731785,0.0005215919,0.0013100286,0.00028116774,0.00029112963,0.00027824278],"domain_scores_gemma":[0.9950577,0.0019578289,0.0021145747,0.0006629544,0.00015712644,0.00004980946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0075529423,0.00021804003,0.0006939595,0.0001568842,0.0009049595,0.0003784534,0.0031015237,0.000058235135,0.0011184126],"category_scores_gemma":[0.0013434864,0.00012764688,0.00022038104,0.0010569788,0.00025661927,0.0003500871,0.00138722,0.00040944037,0.0000034407622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004120744,0.00006881458,0.9419122,0.00008789477,0.00025291543,0.0000021892527,0.0001660691,0.000273521,0.0002607993,0.052128315,0.003299942,0.001135284],"study_design_scores_gemma":[0.00047649708,0.00003372792,0.93431467,0.000103271675,0.000023056697,0.0000022362808,0.000045010376,0.0001428109,0.004906289,0.03381973,0.025915235,0.00021749006],"about_ca_topic_score_codex":0.0005907551,"about_ca_topic_score_gemma":0.000049871065,"teacher_disagreement_score":0.022615293,"about_ca_system_score_codex":0.00021390281,"about_ca_system_score_gemma":0.00012380388,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W4322767201","doi":"10.18235/0004759","title":"Signaling Specific Skills and the Labor Market of College Graduates","year":2023,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Graduation (instrument); Earnings; Reputation; Human capital; Regression discontinuity design; Labour economics; Affect (linguistics); Census; Economics; Demographic economics; Business; Psychology; Accounting; Economic growth; Political science; Engineering","score_opus":0.05197987258075855,"score_gpt":0.26229562213811425,"score_spread":0.2103157495573557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322767201","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14662659,0.021687776,0.0003779636,0.0038268587,0.0056010014,0.0018252714,0.024033908,0.00019027053,0.79583037],"genre_scores_gemma":[0.7079179,0.10022888,0.0006435878,0.0002164769,0.0006959518,0.00009349311,0.00020693107,0.00019047289,0.18980625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973438,0.00007031578,0.0015199629,0.0005916272,0.000156397,0.00031792934],"domain_scores_gemma":[0.9968253,0.0010662432,0.0011446364,0.0006405769,0.00025399003,0.00006926873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006438893,0.0003148296,0.0012976194,0.00028350356,0.00010729137,0.00008710832,0.000360055,0.00027970027,0.00089720235],"category_scores_gemma":[0.0008593045,0.00024034973,0.0002776013,0.000544324,0.00026909832,0.00006658162,0.00022084959,0.00032107788,0.000051924006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060963743,0.00010848154,0.023138473,0.0005388572,0.00044789774,0.000021607648,0.00015537003,0.0000051304633,0.0000014806335,0.9146718,0.06009963,0.00075033697],"study_design_scores_gemma":[0.0018387284,0.00004506934,0.052701395,0.00021557574,0.000054572774,0.000013427877,0.00015937493,0.00057878596,0.000018766701,0.5298595,0.41371068,0.00080413127],"about_ca_topic_score_codex":0.0011435273,"about_ca_topic_score_gemma":0.000112817026,"teacher_disagreement_score":0.6060241,"about_ca_system_score_codex":0.000111525245,"about_ca_system_score_gemma":0.0001246411,"threshold_uncertainty_score":0.98237365},"labels":[],"label_agreement":null},{"id":"W4323567716","doi":"10.1177/00207152231156436","title":"Low-wage mobility in Central Europe","year":2023,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agentúra na Podporu Výskumu a Vývoja","keywords":"Wage; Demographic economics; Multinomial logistic regression; Unemployment; Homogeneous; Economics; Low wage; Psychological resilience; Labour economics; Work (physics); Economic growth; Psychology","score_opus":0.05994586931620768,"score_gpt":0.32188339794312343,"score_spread":0.26193752862691577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323567716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900299,0.000177022,0.0010555137,0.0016168281,0.0017401449,0.00005305313,0.00010296396,0.000009337932,0.0052152877],"genre_scores_gemma":[0.99910146,0.00018355163,0.00008592785,0.00022857107,0.00022391975,0.000002253077,0.000016577309,0.0000059970866,0.00015174133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99864894,0.000108832064,0.0008302639,0.00015181174,0.000060374918,0.0001997822],"domain_scores_gemma":[0.9988572,0.00022935736,0.00054010405,0.00008787038,0.00023539811,0.000050094743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011866023,0.00008853062,0.00038374617,0.00027913883,0.000021921162,0.000023155782,0.00039828,0.0000656851,0.0002215283],"category_scores_gemma":[0.00021927919,0.00008893726,0.000117681404,0.00018765392,0.0001402892,0.00015874901,0.00007324267,0.0002783748,0.00015503433],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014501836,0.00025794387,0.3351137,0.0000045731904,0.00017581716,0.000121806595,0.003943425,0.0017951166,0.00011280167,0.65741324,0.0007094251,0.00020710452],"study_design_scores_gemma":[0.0007768683,0.000072999224,0.7417207,0.000012493866,0.0000014469476,0.0000086689515,0.0002131733,0.0022448776,0.00003862052,0.24827127,0.0065338863,0.000105045176],"about_ca_topic_score_codex":0.000031439355,"about_ca_topic_score_gemma":0.000022939732,"teacher_disagreement_score":0.409142,"about_ca_system_score_codex":0.00015790209,"about_ca_system_score_gemma":0.00004630302,"threshold_uncertainty_score":0.3626756},"labels":[],"label_agreement":null},{"id":"W4323666355","doi":"10.1080/13639080.2023.2184465","title":"Secondary school grades and graduate returns to education in the UK","year":2023,"lang":"en","type":"article","venue":"Journal of Education and Work","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Salary; Graduation (instrument); Educational attainment; Wage; Sample (material); Mathematics education; Class (philosophy); Quality (philosophy); Psychology; Demographic economics; Economics; Mathematics; Labour economics; Computer science","score_opus":0.03792236920427966,"score_gpt":0.2883080027425998,"score_spread":0.25038563353832016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323666355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98293006,0.0013375479,0.000018934585,0.011798364,0.0008957361,0.00009038957,0.000006585109,0.0000028237364,0.0029195636],"genre_scores_gemma":[0.9960168,0.0009143284,0.0002819096,0.0016498757,0.00024343931,0.000006664197,0.000004520844,0.000005479236,0.00087699585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993431,0.00003195024,0.00039228494,0.000102464204,0.000035536767,0.00009465948],"domain_scores_gemma":[0.99944663,0.00008046276,0.00022824062,0.000106428255,0.00005261888,0.00008562226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013227052,0.000060152266,0.00014024168,0.0002937102,0.00005761701,0.00011937518,0.00009998573,0.00003289513,0.000039995768],"category_scores_gemma":[0.00028251857,0.000049145397,0.000029359036,0.00051993283,0.000015992422,0.00012163567,0.000017429125,0.00018553447,0.00001750289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033153356,0.00019890066,0.7889675,0.000039494567,0.00002138576,0.0000013659724,0.006214778,0.000007671179,0.0000058032742,0.11077453,0.055326797,0.03840863],"study_design_scores_gemma":[0.00010668738,0.000027340828,0.8502739,0.000046343157,0.000002761594,0.000010787501,0.0023503373,0.00000626481,9.2420936e-7,0.13450289,0.012608032,0.000063726184],"about_ca_topic_score_codex":0.000056684017,"about_ca_topic_score_gemma":0.000031026815,"teacher_disagreement_score":0.06130643,"about_ca_system_score_codex":0.00003758434,"about_ca_system_score_gemma":0.00017737303,"threshold_uncertainty_score":0.20040911},"labels":[],"label_agreement":null},{"id":"W43530143","doi":"","title":"Immigratie: Vloek of zegen voor de Nederlandse economie?","year":2001,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Immigration; Humanities; Welfare state; Art; Law","score_opus":0.02338171224980439,"score_gpt":0.2313156609554236,"score_spread":0.2079339487056192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W43530143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725392,0.0058384575,0.00393357,0.0004515897,0.0006055669,0.00028137228,0.007323371,0.000042616968,0.008984269],"genre_scores_gemma":[0.9768716,0.017753128,0.0011443516,0.00042656923,0.0005508315,0.000011125208,0.002077173,0.00007029179,0.001094949],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962698,0.00017534663,0.0014346583,0.0011546423,0.00007961258,0.00088590453],"domain_scores_gemma":[0.99631315,0.0004588202,0.00093919813,0.001917686,0.00003651958,0.000334599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022473778,0.00048541196,0.0010326494,0.0002173209,0.00032005555,0.00029479974,0.0018021999,0.00022041146,0.00019913579],"category_scores_gemma":[0.00004235273,0.00053606107,0.00014638843,0.00038308933,0.00017552354,0.0006367833,0.0011122242,0.00039901052,0.000060026734],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034357488,0.00022896452,0.9659216,0.0009191208,0.000494318,0.000041218613,0.0046787225,0.0014125237,0.000052259507,0.014867405,0.00060303975,0.010437265],"study_design_scores_gemma":[0.0012161178,0.00015647209,0.29894692,0.0003735652,0.00011300216,0.000034173347,0.0010107213,0.6392612,0.000008855979,0.01927774,0.03875152,0.00084970455],"about_ca_topic_score_codex":0.009366238,"about_ca_topic_score_gemma":0.011927114,"teacher_disagreement_score":0.66697466,"about_ca_system_score_codex":0.000075614196,"about_ca_system_score_gemma":0.00007454038,"threshold_uncertainty_score":0.99970907},"labels":[],"label_agreement":null},{"id":"W4361267256","doi":"10.33642/ijbass.v9n3p3","title":"Overcoming Gender Segregation: How Women Can Succeed in Male-Dominated Fields","year":2023,"lang":"en","type":"article","venue":"International Journal of Business and Applied Social Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; University of Toronto; Conestoga College","funders":"","keywords":"Workforce; Diversity (politics); Gender diversity; Entrepreneurship; Public relations; Gender equity; Marketing; Business; Political science; Management; Demographic economics; Economics; Economic growth; Corporate governance","score_opus":0.02775223752172333,"score_gpt":0.24983525254541478,"score_spread":0.22208301502369143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361267256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903371,0.000019029276,0.0006586146,0.004013738,0.0005332801,0.000043197175,0.000025359366,0.0000059707977,0.004363732],"genre_scores_gemma":[0.9993136,0.00008723022,0.000082533086,0.00021792663,0.00017090498,0.000004022047,0.0000025897539,0.0000051706425,0.00011601261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991361,0.000006766547,0.00034140566,0.00016016373,0.0001584247,0.00019713011],"domain_scores_gemma":[0.99929184,0.000040194813,0.00034098994,0.00004512559,0.00022960937,0.000052264997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014540186,0.00007211934,0.00019875419,0.00037521875,0.00011416579,0.0002268684,0.0003287436,0.000050969436,0.000047118374],"category_scores_gemma":[0.00013436373,0.0000735308,0.00002775923,0.00088560936,0.00013378811,0.00028461436,0.00009544243,0.00011735801,0.0000024859146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009519229,0.00007061164,0.074300215,0.000022895754,0.000045065422,0.00005702987,0.0055755945,0.00040450113,0.00112026,0.9070409,0.00010003777,0.0111677],"study_design_scores_gemma":[0.0011645025,0.00001063093,0.8145508,0.000017055214,0.0000019818413,0.00001665224,0.0011099456,0.0020758593,0.000054432803,0.17968531,0.0011130902,0.00019972364],"about_ca_topic_score_codex":0.00007381838,"about_ca_topic_score_gemma":0.000020543499,"teacher_disagreement_score":0.7402506,"about_ca_system_score_codex":0.00021551935,"about_ca_system_score_gemma":0.00007126372,"threshold_uncertainty_score":0.2998499},"labels":[],"label_agreement":null},{"id":"W4362464737","doi":"10.1016/j.euroecorev.2023.104441","title":"Heterogeneity in labor mobility and unemployment flows across countries","year":2023,"lang":"en","type":"article","venue":"European Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; University of Minnesota","keywords":"Unemployment; Economics; Matching (statistics); Odds; Variation (astronomy); Labour economics; Econometrics; Macroeconomics; Logistic regression","score_opus":0.04186796655479357,"score_gpt":0.2859817348937392,"score_spread":0.2441137683389456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362464737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95439684,0.037340585,0.00001218296,0.0014825992,0.00035064179,0.0004494009,0.00090678374,0.00007776703,0.0049831835],"genre_scores_gemma":[0.8003322,0.19727978,0.0000562125,0.001708656,0.00008388041,0.000039362592,0.00005814727,0.000049372044,0.0003923988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975933,0.0001524678,0.0011716139,0.0006493373,0.000024510573,0.00040880157],"domain_scores_gemma":[0.9988895,0.00008055975,0.00031261647,0.00059857423,0.000014984246,0.00010374971],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0053359196,0.00021319852,0.0006829499,0.000074217576,0.00008400053,0.00010144343,0.00028084512,0.000036952777,0.00020682231],"category_scores_gemma":[0.0001345782,0.00023283008,0.0001106537,0.00020402196,0.000071922135,0.00019726984,0.00027386472,0.00013492405,0.0028334546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023504903,0.00010486006,0.8857536,0.002864079,0.00009314654,0.00006490973,0.00047768187,0.00022798854,0.0000027807773,0.09555271,0.0019808176,0.012853958],"study_design_scores_gemma":[0.0005909537,0.00003522741,0.52074647,0.00039314412,0.000006350065,0.000004874558,0.000019462415,0.0018306607,0.0000032013356,0.006582261,0.46931925,0.00046816355],"about_ca_topic_score_codex":0.00014120771,"about_ca_topic_score_gemma":0.00030082482,"teacher_disagreement_score":0.46733844,"about_ca_system_score_codex":0.00017351723,"about_ca_system_score_gemma":0.000016888423,"threshold_uncertainty_score":0.997943},"labels":[],"label_agreement":null},{"id":"W4362680446","doi":"10.2139/ssrn.4410407","title":"Race and the Income-Achievement Gap","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Race (biology); Demographic economics; Economics; Sociology; Gender studies","score_opus":0.02490804833474544,"score_gpt":0.24216875657893533,"score_spread":0.2172607082441899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362680446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87419736,0.0427488,0.033623468,0.03861724,0.0037004494,0.00097125786,0.0003160331,0.0001227477,0.0057026427],"genre_scores_gemma":[0.9205986,0.072692245,0.00007954054,0.00022571038,0.00044460726,0.000037191097,0.000018534653,0.000059755308,0.005843773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665195,0.0001296108,0.00096961495,0.0004980609,0.000095079144,0.0016557111],"domain_scores_gemma":[0.9982083,0.0001664498,0.00095259916,0.00053300767,0.000053748267,0.00008591482],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0124061555,0.00029620138,0.00071534107,0.00020178132,0.0002997884,0.00033445682,0.0006595318,0.00022064362,0.000030783194],"category_scores_gemma":[0.00026619653,0.00023701906,0.00027772208,0.00016337886,0.00014267162,0.00008377,0.0007592226,0.0042317715,0.00008566663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000731056,0.00002594653,0.015940549,0.00003272233,0.00039991472,0.0000029924524,0.000180805,0.000121510486,1.984321e-7,0.9820344,0.00004210258,0.0011457679],"study_design_scores_gemma":[0.0012110025,0.00004624488,0.007017521,0.00003342298,0.000025641366,0.000029446299,0.00021299197,0.0018391048,2.3154276e-7,0.98635876,0.00293615,0.0002894668],"about_ca_topic_score_codex":0.00089690235,"about_ca_topic_score_gemma":0.0010822822,"teacher_disagreement_score":0.046401285,"about_ca_system_score_codex":0.000945148,"about_ca_system_score_gemma":0.00055591064,"threshold_uncertainty_score":0.99806553},"labels":[],"label_agreement":null},{"id":"W4375938122","doi":"10.32920/ryerson.14637975.v2","title":"The Impact of Aggregate and Sectoral Fluctuations on Training Decisions","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Acadia University","funders":"","keywords":"Business cycle; Shock (circulatory); Training (meteorology); Work (physics); Economics; Aggregate (composite); Position (finance); Labour economics; Business; Monetary economics; Macroeconomics; Finance; Engineering; Medicine","score_opus":0.08615964643904356,"score_gpt":0.3074839371456718,"score_spread":0.22132429070662824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375938122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675507,0.0008975947,0.0009567684,0.00041476914,0.00048734518,0.00025200853,0.0020123622,0.000021033778,0.027407449],"genre_scores_gemma":[0.9973183,0.0013253866,0.00034101785,0.000041063526,0.000046088913,0.000039016304,0.00007260155,0.000022161525,0.00079431117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986253,0.0000461817,0.00067771145,0.00038770918,0.0000530625,0.00021006464],"domain_scores_gemma":[0.9980554,0.0006653242,0.00055889,0.00061442424,0.00003781645,0.00006812833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013553568,0.00018262143,0.00042968366,0.00012955339,0.00023913405,0.00012725175,0.0003366296,0.00010488908,0.00080839515],"category_scores_gemma":[0.0006117649,0.00013912105,0.00027377612,0.00016132924,0.000072535855,0.00003861642,0.0004927016,0.00045180472,0.0000064267197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048919286,0.00007920534,0.016913781,0.000013539252,0.00028925113,0.0000022119937,0.0010049284,0.009823931,0.0000035753897,0.9621197,0.00033220698,0.009368755],"study_design_scores_gemma":[0.00027085797,0.000116618714,0.15960242,0.00002551747,0.000007919264,0.000001181566,0.0001557893,0.03155067,0.000001150758,0.80610156,0.0018992518,0.0002671007],"about_ca_topic_score_codex":0.0015697351,"about_ca_topic_score_gemma":0.00013680656,"teacher_disagreement_score":0.15601817,"about_ca_system_score_codex":0.0001526192,"about_ca_system_score_gemma":0.00009682588,"threshold_uncertainty_score":0.885136},"labels":[],"label_agreement":null},{"id":"W4376269950","doi":"10.26509/frbc-wp-202312","title":"Sticky wages on the layoff margin","year":2023,"lang":"en","type":"report","venue":"Working paper","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Chicago","keywords":"Layoff; Margin (machine learning); Unemployment; Wage; Labour economics; Quarter (Canadian coin); Economics; Low wage; Displaced workers; Sample (material); Demographic economics; Business","score_opus":0.16527998015737166,"score_gpt":0.29287047136607985,"score_spread":0.1275904912087082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376269950","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009103746,0.0025553682,0.000062576306,0.0051467796,0.008311145,0.00043852624,0.0006710101,0.0002161753,0.97349465],"genre_scores_gemma":[0.83881986,0.0069613317,0.00006402743,0.0018290499,0.0022811962,0.00013345767,0.00019162134,0.00024212128,0.14947736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976287,0.000053579206,0.0008719595,0.0007383886,0.0002055797,0.0005018246],"domain_scores_gemma":[0.9974016,0.00070713204,0.0006686916,0.0010846724,0.000066944325,0.0000709538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003667195,0.00037453577,0.00070484634,0.00020933864,0.00023021745,0.00023587537,0.0005776239,0.00040584488,0.0014618498],"category_scores_gemma":[0.0011491302,0.00030141088,0.0003218106,0.0004269422,0.00006952745,0.000040573872,0.00020524478,0.0008234168,0.0021664258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025275249,0.00010987264,0.029462047,0.00019708101,0.0004906059,0.00010846397,0.0002328709,0.00009381381,0.0000019112092,0.80076665,0.15637782,0.012133573],"study_design_scores_gemma":[0.00009783656,0.000018642555,0.022666184,0.0002340287,0.000015545966,0.0000023647094,0.000018918952,0.00008736189,5.023758e-7,0.052900303,0.92354524,0.0004130712],"about_ca_topic_score_codex":0.00067495863,"about_ca_topic_score_gemma":0.00020599575,"teacher_disagreement_score":0.8297161,"about_ca_system_score_codex":0.00034996466,"about_ca_system_score_gemma":0.000118335905,"threshold_uncertainty_score":0.9999438},"labels":[],"label_agreement":null},{"id":"W4376631928","doi":"10.1111/caje.12658","title":"Approaches to learn about employer learning","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Human capital; Signalling; Economics; Labour economics; Job market; Empirical evidence; Empirical research; Business; Microeconomics; Engineering; Mathematics","score_opus":0.31200856610870253,"score_gpt":0.19584691656627246,"score_spread":0.11616164954243008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376631928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98538,0.0002763318,0.0002633069,0.004797871,0.0018018661,0.00024761513,0.00036787044,0.000027724967,0.0068374313],"genre_scores_gemma":[0.99415296,0.00016329493,0.000410814,0.0006571276,0.0006545584,0.000022768982,0.000036511068,0.00010269771,0.0037992438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99670833,0.000058218757,0.001521012,0.00056968944,0.0000025026654,0.0011402655],"domain_scores_gemma":[0.9962395,0.00015617386,0.0008710268,0.00048513696,0.000100882186,0.0021473046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025832518,0.00033188736,0.00093675085,0.0017334049,0.00028069096,0.0002931544,0.00077354745,0.00024051472,0.0004479586],"category_scores_gemma":[0.0007300528,0.00044376648,0.00034147245,0.0005572563,0.00010053695,0.0004447018,0.000057832494,0.0005832693,0.00066349265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028417013,0.0000085773845,0.07760654,0.000032687094,0.0001333544,0.000102984784,0.0015376147,0.026726512,0.0000016835777,0.891029,0.00063659233,0.0021560686],"study_design_scores_gemma":[0.00073763134,0.00038177002,0.028232366,0.000077962664,0.00001881677,0.00012360756,0.0006364821,0.008393275,0.000014111356,0.72263354,0.237827,0.0009234364],"about_ca_topic_score_codex":0.07917148,"about_ca_topic_score_gemma":0.8017434,"teacher_disagreement_score":0.7225719,"about_ca_system_score_codex":0.001531675,"about_ca_system_score_gemma":0.0007264735,"threshold_uncertainty_score":0.9998014},"labels":[],"label_agreement":null},{"id":"W4378878361","doi":"10.2139/ssrn.4465115","title":"The Labor Market Returns to Unobserved Skills: Evidence from a Gender Quota","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Economics; Labour economics","score_opus":0.05258593124314352,"score_gpt":0.2690084969493807,"score_spread":0.2164225657062372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378878361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9174389,0.042978294,0.010357364,0.01906565,0.005929498,0.0008731581,0.0018674344,0.00016214926,0.0013275488],"genre_scores_gemma":[0.8789429,0.10321181,0.00041886792,0.00056319445,0.0013422226,0.00009236639,0.000049978917,0.00015659229,0.015222035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99363184,0.0002671661,0.001640137,0.0010874657,0.00022877785,0.0031446174],"domain_scores_gemma":[0.99587595,0.00090200413,0.0012692997,0.0014477758,0.00023781694,0.0002671221],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012292973,0.0005283545,0.0008528926,0.0002640883,0.00052995584,0.00086208683,0.002189108,0.00045271518,0.00020270677],"category_scores_gemma":[0.002660397,0.00046007466,0.0005167364,0.0005381072,0.0000678499,0.00020245131,0.0011352755,0.0053743836,0.00038724765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044069256,0.0002054366,0.17957523,0.00010393836,0.0028684,0.000048768117,0.0018794918,0.0008251104,0.000016252085,0.8032517,0.006445178,0.0043398095],"study_design_scores_gemma":[0.000291825,0.00007212418,0.098794326,0.00016515607,0.000038745005,0.000008945133,0.00041328536,0.0013087407,0.0000018580022,0.89156014,0.0067819217,0.0005629098],"about_ca_topic_score_codex":0.0029506902,"about_ca_topic_score_gemma":0.014906832,"teacher_disagreement_score":0.088308476,"about_ca_system_score_codex":0.0025879315,"about_ca_system_score_gemma":0.0018967064,"threshold_uncertainty_score":0.9997851},"labels":[],"label_agreement":null},{"id":"W4379383057","doi":"10.32920/23296181.v1","title":"Essays in Occupation Skill Characteristics","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto; Western University","funders":"","keywords":"Wage; Portfolio; Cognitive skill; Psychology; Cognition; Economics; Labour economics","score_opus":0.053158612259576264,"score_gpt":0.26600579630847926,"score_spread":0.212847184048903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379383057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9300278,0.00013441392,0.01356413,0.0009539824,0.0037749922,0.0004756643,0.0030824023,0.00020885046,0.0477778],"genre_scores_gemma":[0.99418783,0.00057743664,0.00069860474,0.00020230413,0.00017517772,0.00011360109,0.0006977031,0.000050626575,0.0032966966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784666,0.000026190306,0.0011280616,0.0006629857,0.00004210372,0.00029400617],"domain_scores_gemma":[0.9986253,0.0000850383,0.00055246655,0.0006333514,0.000045085537,0.000058808808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013616194,0.00023449137,0.00063535053,0.00040233257,0.000030997493,0.00013940503,0.00033911504,0.00039269848,0.00041169228],"category_scores_gemma":[0.00037383634,0.00028257567,0.00013308365,0.00023860802,0.000023764454,0.00007646306,0.00051628845,0.0005059073,0.0007437947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008554713,0.00006999431,0.46201396,0.00013132965,0.000023302397,0.0000123309255,0.00015475029,0.00010447373,2.6372555e-7,0.53662866,0.0003196612,0.00053269434],"study_design_scores_gemma":[0.0001534605,0.0000068587237,0.46086478,0.000039166884,0.0000022406068,1.8607967e-7,0.00001032696,0.01725806,8.555847e-7,0.52003926,0.0013246132,0.00030016844],"about_ca_topic_score_codex":0.0021875799,"about_ca_topic_score_gemma":0.00053485774,"teacher_disagreement_score":0.064160086,"about_ca_system_score_codex":0.00022629296,"about_ca_system_score_gemma":0.000039259074,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W4379467858","doi":"10.32920/23296181","title":"Essays in Occupation Skill Characteristics","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto; Western University","funders":"","keywords":"Wage; Portfolio; Cognitive skill; Psychology; Cognition; Economics; Labour economics","score_opus":0.053158612259576264,"score_gpt":0.26600579630847926,"score_spread":0.212847184048903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379467858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9300278,0.00013441392,0.01356413,0.0009539824,0.0037749922,0.0004756643,0.0030824023,0.00020885046,0.0477778],"genre_scores_gemma":[0.99418783,0.00057743664,0.00069860474,0.00020230413,0.00017517772,0.00011360109,0.0006977031,0.000050626575,0.0032966966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784666,0.000026190306,0.0011280616,0.0006629857,0.00004210372,0.00029400617],"domain_scores_gemma":[0.9986253,0.0000850383,0.00055246655,0.0006333514,0.000045085537,0.000058808808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013616194,0.00023449137,0.00063535053,0.00040233257,0.000030997493,0.00013940503,0.00033911504,0.00039269848,0.00041169228],"category_scores_gemma":[0.00037383634,0.00028257567,0.00013308365,0.00023860802,0.000023764454,0.00007646306,0.00051628845,0.0005059073,0.0007437947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008554713,0.00006999431,0.46201396,0.00013132965,0.000023302397,0.0000123309255,0.00015475029,0.00010447373,2.6372555e-7,0.53662866,0.0003196612,0.00053269434],"study_design_scores_gemma":[0.0001534605,0.0000068587237,0.46086478,0.000039166884,0.0000022406068,1.8607967e-7,0.00001032696,0.01725806,8.555847e-7,0.52003926,0.0013246132,0.00030016844],"about_ca_topic_score_codex":0.0021875799,"about_ca_topic_score_gemma":0.00053485774,"teacher_disagreement_score":0.064160086,"about_ca_system_score_codex":0.00022629296,"about_ca_system_score_gemma":0.000039259074,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W4379645331","doi":"10.2139/ssrn.4471295","title":"Does Digitalization Widen Labor Income Inequality?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Human capital; Context (archaeology); Economic inequality; Labour economics; Inequality; Externality; Categorization; Technological change; Wage; Real wages; Microeconomics; Macroeconomics; Market economy; Computer science; Artificial intelligence","score_opus":0.012634583676155704,"score_gpt":0.23229848973690584,"score_spread":0.21966390606075015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379645331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98304325,0.00066979404,0.009409601,0.002918735,0.0008934874,0.00012441071,0.0001727905,0.00013347832,0.0026344603],"genre_scores_gemma":[0.9893214,0.0048066787,0.00002721049,0.00018753833,0.0003332277,0.000008446231,0.000049317623,0.000038308135,0.0052278885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971658,0.000050758772,0.0007615267,0.0003117866,0.00008911164,0.0016210426],"domain_scores_gemma":[0.9990379,0.00007429869,0.00042165586,0.00029181183,0.00008180282,0.00009249263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042079194,0.000166307,0.00032386705,0.0003208591,0.00020042153,0.00021342636,0.0003472443,0.000103994644,0.00008388253],"category_scores_gemma":[0.00043498963,0.00013062666,0.00013327965,0.0008499308,0.000034769477,0.0005295058,0.00008682183,0.000723692,0.0004116192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012420422,0.000023623135,0.20685427,0.000010594092,0.000072955925,0.000003578467,0.00009424052,0.000048083482,0.0000048730003,0.79140633,0.000030467978,0.0014385474],"study_design_scores_gemma":[0.00040143824,0.00006291284,0.04761939,0.000010539777,0.0000048094266,0.000011489227,0.0002388714,0.00084187504,0.0000044855474,0.94403046,0.006545514,0.00022818417],"about_ca_topic_score_codex":0.0001827111,"about_ca_topic_score_gemma":0.0005397919,"teacher_disagreement_score":0.15923487,"about_ca_system_score_codex":0.0006625914,"about_ca_system_score_gemma":0.0002930127,"threshold_uncertainty_score":0.5326801},"labels":[],"label_agreement":null},{"id":"W4380249660","doi":"10.1515/9780773589995-012","title":"(Re)Defining the Apprenticeship Problem in Canada: Completion Rate Efficiency versus More Equitable Entry","year":2013,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Completion (oil and gas wells); Labour economics; Business; Demographic economics; Economics; History; Engineering; Archaeology; Mechanical engineering","score_opus":0.02690868549117433,"score_gpt":0.19555183680185154,"score_spread":0.1686431513106772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380249660","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008454696,0.00003175026,0.00010908017,0.00037852855,0.0005655324,0.00071712525,0.0019914946,0.000047035923,0.995314],"genre_scores_gemma":[0.3093729,0.0003777739,0.00018790111,0.00032937608,0.00007394408,0.0000126178375,0.00027354065,0.00010571452,0.6892662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976478,0.00007256965,0.0006665486,0.00078644056,0.00015662001,0.0006699784],"domain_scores_gemma":[0.9978886,0.00029177841,0.00084708625,0.0007227989,0.000109068525,0.00014061354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006715108,0.0004582768,0.0007317305,0.00022913962,0.00043554732,0.00009332644,0.00083599833,0.00029270898,0.00022835705],"category_scores_gemma":[0.000037964888,0.0004920499,0.00017309324,0.00004769825,0.00013019146,0.00017131346,0.00064118364,0.00071889954,0.000039347487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010245354,0.000018309509,0.00022387427,0.00011577514,0.00011049511,0.000044892622,0.00010231579,0.0004649274,1.75664e-7,0.99772555,0.00086865533,0.0002225835],"study_design_scores_gemma":[0.0019895176,0.00005903749,0.0006930631,0.00019507004,0.00008073354,5.3363374e-7,0.00027772022,0.00274943,0.0000050185595,0.011464503,0.98152065,0.00096469186],"about_ca_topic_score_codex":0.66599584,"about_ca_topic_score_gemma":0.016920583,"teacher_disagreement_score":0.986261,"about_ca_system_score_codex":0.0016675445,"about_ca_system_score_gemma":0.00020290133,"threshold_uncertainty_score":0.9997531},"labels":[],"label_agreement":null},{"id":"W4380536698","doi":"10.3390/econometrics11020016","title":"Skill Mismatch, Nepotism, Job Satisfaction, and Young Females in the MENA Region","year":2023,"lang":"en","type":"article","venue":"Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Nepotism; Job satisfaction; Ethnic group; Demographic economics; Productivity; Immigration; Government (linguistics); Economics; Labour economics; Business; Psychology; Political science; Social psychology; Economic growth","score_opus":0.06085186344214988,"score_gpt":0.24081097715503139,"score_spread":0.1799591137128815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380536698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815894,0.0010576975,0.00038727612,0.0022170497,0.00068841095,0.00024099555,0.00009844228,0.00006128269,0.013659458],"genre_scores_gemma":[0.9953815,0.0030595227,0.00011253107,0.00036324668,0.000099424265,0.00003746871,0.000024084507,0.000025379695,0.0008968648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836814,0.0000473708,0.00070318405,0.000465078,0.00005003288,0.00036616356],"domain_scores_gemma":[0.99885565,0.00032639815,0.00029221672,0.00043033354,0.000024611903,0.00007078841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959218,0.00017349313,0.00035920483,0.0011238056,0.0001532522,0.00021381793,0.00023119329,0.00012264017,0.000059683633],"category_scores_gemma":[0.00050290534,0.0001676776,0.00007927525,0.0026169296,0.00006117129,0.0003196322,0.00009041764,0.00021183683,0.00022893569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003342299,0.000013816684,0.80023074,0.000023384808,0.0000141463515,0.000014874654,0.0007981095,0.00003369394,2.556659e-7,0.19633111,0.0007171029,0.0018194142],"study_design_scores_gemma":[0.00031177446,0.000023609786,0.8758506,0.000005864961,0.0000029875107,0.000013729069,0.00039440958,0.0016583678,5.525134e-7,0.11550495,0.0060290555,0.0002040673],"about_ca_topic_score_codex":0.0011157815,"about_ca_topic_score_gemma":0.0006282119,"teacher_disagreement_score":0.08082616,"about_ca_system_score_codex":0.00012289271,"about_ca_system_score_gemma":0.000013820743,"threshold_uncertainty_score":0.6837694},"labels":[],"label_agreement":null},{"id":"W4380785490","doi":"10.2139/ssrn.4465518","title":"Internet Appendix for \"High Discounts and Low Fundamental Surplus: An Equivalence Result for Unemployment Fluctuations\"","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Equivalence (formal languages); Unemployment; Economics; Mathematical economics; Economic surplus; The Internet; Keynesian economics; Econometrics; Microeconomics; Mathematics; Computer science; Macroeconomics; Discrete mathematics; Market economy","score_opus":0.03241521868665412,"score_gpt":0.27183832669799696,"score_spread":0.23942310801134284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380785490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95439446,0.00064319564,0.041780915,0.0010400824,0.0005584366,0.0004949534,0.00095320086,0.000031351203,0.00010340136],"genre_scores_gemma":[0.99390703,0.0020068209,0.0002598063,0.000091335794,0.00025270568,0.000074528325,0.00032285065,0.000036105423,0.003048834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997555,0.000024985065,0.0006097366,0.0003932348,0.00006461513,0.0013524176],"domain_scores_gemma":[0.9991889,0.00012311307,0.00033248813,0.00019761467,0.00006053738,0.00009734106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036412703,0.00016697707,0.00028707806,0.00018506948,0.00023616917,0.00020158103,0.00027367432,0.00007354487,0.0000432856],"category_scores_gemma":[0.00016118864,0.00017247423,0.00010157471,0.00017753283,0.000049870196,0.00036621428,0.00006268318,0.00034132795,0.000042670858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014847537,0.000073831834,0.00900184,0.000035318702,0.00012448948,8.646546e-7,0.00023469803,0.000060586826,0.000038763614,0.98666394,0.00017852894,0.0034386877],"study_design_scores_gemma":[0.0016409021,0.0005890957,0.0051865065,0.000021744041,0.000014035752,0.000021821272,0.0005231123,0.015254289,0.000019488218,0.9745096,0.0019530588,0.00026635357],"about_ca_topic_score_codex":0.00019010305,"about_ca_topic_score_gemma":0.0007053049,"teacher_disagreement_score":0.04152111,"about_ca_system_score_codex":0.000640298,"about_ca_system_score_gemma":0.0002121857,"threshold_uncertainty_score":0.7033295},"labels":[],"label_agreement":null},{"id":"W4381059875","doi":"10.1016/j.jpubeco.2023.104896","title":"The effects of labor market opportunities on education: The case of a female hiring ceiling in Iran","year":2023,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Regina","funders":"","keywords":"Spillover effect; Regression discontinuity design; Economics; Labour economics; Limiting; Private sector; Attendance; Demographic economics; Public sector; Economic growth; Medicine","score_opus":0.07165292182466929,"score_gpt":0.2651408401191477,"score_spread":0.1934879182944784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381059875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99006915,0.000665528,0.000014776705,0.0032572993,0.0010798766,0.00012696227,0.000063045794,0.0000038163075,0.004719553],"genre_scores_gemma":[0.995438,0.0036868178,0.000047278987,0.000148058,0.00014606354,0.000007627379,0.0000019324943,0.000015657675,0.00050857745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832433,0.00009276581,0.0012287243,0.000120717654,0.000026990389,0.00020646684],"domain_scores_gemma":[0.99678254,0.0012780945,0.0014424869,0.0003279108,0.00010295335,0.000066025124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050269435,0.00010480132,0.00038567558,0.00038123515,0.000098414544,0.000093749026,0.0003736013,0.000060912134,0.00003174565],"category_scores_gemma":[0.0010545856,0.00007983721,0.00015126928,0.00030705353,0.00009110117,0.0002502915,0.00006858707,0.00021498065,0.0000034122277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057198333,0.0001916279,0.091234244,0.0002411229,0.000155631,0.000056154448,0.0011466752,0.00032230545,0.0000061371247,0.8834984,0.00056549057,0.022525068],"study_design_scores_gemma":[0.0034128493,0.000788441,0.40478796,0.0005198884,0.00005309044,0.0003647691,0.022481496,0.016870638,0.00025229147,0.47807458,0.07161026,0.00078375556],"about_ca_topic_score_codex":0.00012488932,"about_ca_topic_score_gemma":0.00026229036,"teacher_disagreement_score":0.40542376,"about_ca_system_score_codex":0.00012889213,"about_ca_system_score_gemma":0.00019684112,"threshold_uncertainty_score":0.32556668},"labels":[],"label_agreement":null},{"id":"W4381232819","doi":"10.2139/ssrn.4483667","title":"The Spillover Effects of Top Income Inequality","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spillover effect; Economic inequality; Inequality; Economics; Income inequality metrics; Income distribution; Demographic economics; Labour economics; Mathematics; Macroeconomics","score_opus":0.009779361390955092,"score_gpt":0.22820645110512108,"score_spread":0.218427089714166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381232819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902389,0.003137474,0.002264184,0.000973998,0.0007497695,0.00012407883,0.000020849264,0.000029264505,0.0024614958],"genre_scores_gemma":[0.9887164,0.0093788775,0.000012069053,0.000057838737,0.00015236717,0.0000058842675,0.0000032511261,0.000019192377,0.0016541071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99757063,0.00007251005,0.0006891295,0.00019167163,0.00008155556,0.0013944779],"domain_scores_gemma":[0.9987308,0.0003382982,0.00048433224,0.00033295932,0.000055612534,0.000058032838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006441229,0.00012472138,0.00030256968,0.00013332609,0.0002280851,0.00006235743,0.0004098362,0.000075825956,0.000015169779],"category_scores_gemma":[0.00065726036,0.000098209784,0.00017784898,0.0005364592,0.0000614893,0.00013070635,0.00009256845,0.0008355464,0.000112690446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019938963,0.000021998685,0.07059513,0.000022506798,0.00010462559,0.000002353877,0.000059666378,0.000012398105,0.000019233828,0.9258928,0.000030596493,0.0032188122],"study_design_scores_gemma":[0.00044396168,0.00011897296,0.06960524,0.000010987555,0.0000056003782,0.000009516875,0.00007741327,0.00033499327,0.00003183179,0.92485,0.0043839235,0.00012755662],"about_ca_topic_score_codex":0.00019288828,"about_ca_topic_score_gemma":0.00019765711,"teacher_disagreement_score":0.0062414035,"about_ca_system_score_codex":0.00039189847,"about_ca_system_score_gemma":0.00024483146,"threshold_uncertainty_score":0.40048787},"labels":[],"label_agreement":null},{"id":"W4381302335","doi":"10.2139/ssrn.4462806","title":"The Effects of Partial Employment Protection Reforms: Evidence from Italy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Business; Political science; Economics","score_opus":0.020363560179544795,"score_gpt":0.236117120851013,"score_spread":0.2157535606714682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381302335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98576796,0.0055290097,0.006197206,0.0012521951,0.0007822064,0.00023961671,0.000015365207,0.000030873845,0.00018559344],"genre_scores_gemma":[0.982109,0.016813584,0.000011172151,0.000019522731,0.00021072972,0.00003028707,0.0000029636103,0.000016684746,0.00078604603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980231,0.000057516423,0.00057504507,0.00020711582,0.00008695028,0.0010502791],"domain_scores_gemma":[0.99894726,0.00022658869,0.0004715306,0.0002625744,0.000045662142,0.000046382465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036504255,0.000110829635,0.0002201916,0.00009088052,0.00025829193,0.00007569575,0.00030286895,0.00006534425,0.00000958553],"category_scores_gemma":[0.0007242493,0.00008278735,0.00013935837,0.00033619363,0.000042559415,0.00022105056,0.000060168804,0.0006947137,0.000077896824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019791455,0.00007547928,0.026529673,0.000041138504,0.00044898523,0.0000058295295,0.00046263888,0.00007354003,0.00078590604,0.9340646,0.00005879808,0.03725548],"study_design_scores_gemma":[0.00038871783,0.00036471678,0.019323453,0.00006122303,0.000011433356,0.000006671952,0.00015639246,0.0014087184,0.00036762006,0.97611564,0.0016551779,0.00014024111],"about_ca_topic_score_codex":0.0010705468,"about_ca_topic_score_gemma":0.0005787215,"teacher_disagreement_score":0.042051017,"about_ca_system_score_codex":0.000611153,"about_ca_system_score_gemma":0.0002306907,"threshold_uncertainty_score":0.33759704},"labels":[],"label_agreement":null},{"id":"W4381513969","doi":"10.1016/j.jedc.2023.104696","title":"Are working hours complements in production?","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; Comunidad de Madrid","keywords":"Economics; Complementarity (molecular biology); Working hours; Wage; Elasticity of substitution; Labour economics; Flexibility (engineering); Elasticity (physics); Production (economics); Econometrics; Working time; Microeconomics; Work (physics)","score_opus":0.031740615324836886,"score_gpt":0.24885452211000425,"score_spread":0.21711390678516737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381513969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937939,0.0003402429,0.00056838343,0.0025990226,0.0013528699,0.000136049,0.00012779942,0.0000113736205,0.0010703255],"genre_scores_gemma":[0.9987872,0.00042203636,0.00007301156,0.00017026199,0.00028440746,0.0000051250922,0.0000053867097,0.000019310019,0.00023320747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983487,0.00002745676,0.0010898035,0.00023313708,0.000031584364,0.00026930863],"domain_scores_gemma":[0.9982732,0.000080694066,0.0013695315,0.00016383493,0.000028805023,0.00008396173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001960279,0.00013177648,0.000560223,0.00045620147,0.00006061473,0.00009606613,0.00018513252,0.00006380418,0.000032545347],"category_scores_gemma":[0.00011717821,0.00014439847,0.00011150943,0.00016902763,0.00003728328,0.00017450536,0.00004232491,0.00020402356,0.000029749148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052111012,0.00003689015,0.8781643,0.000011690828,0.00008316295,0.0000231864,0.00007101109,0.0023498416,0.0000027586655,0.11762167,0.00012334164,0.001460039],"study_design_scores_gemma":[0.002406985,0.0000589992,0.7310337,0.00006882044,0.0000124283415,0.000022474818,0.0003790102,0.11692981,5.6938615e-7,0.1472396,0.0015895548,0.00025804542],"about_ca_topic_score_codex":0.000064179134,"about_ca_topic_score_gemma":0.0005701204,"teacher_disagreement_score":0.1471306,"about_ca_system_score_codex":0.0002794176,"about_ca_system_score_gemma":0.00002513489,"threshold_uncertainty_score":0.5888398},"labels":[],"label_agreement":null},{"id":"W4382939196","doi":"10.1093/wber/lhad015","title":"Technology and the Task Content of Jobs across the Development Spectrum","year":2023,"lang":"en","type":"article","venue":"The World Bank Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Centre for Economic Policy Research","keywords":"Developing country; Task (project management); Developed country; Business; Demographic economics; Operations management; Economic growth; Economics; Medicine; Environmental health; Population","score_opus":0.04322796171648279,"score_gpt":0.2640430746846403,"score_spread":0.22081511296815748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382939196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67698133,0.15597759,0.00009207915,0.15146495,0.0009451956,0.0019084159,0.00023277849,0.000085094245,0.012312587],"genre_scores_gemma":[0.9215272,0.07104622,0.00003749808,0.0017141076,0.0000665153,0.00017771353,0.000009247606,0.000023499548,0.005398023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980999,0.00007718305,0.0011509071,0.00031185307,0.000028170743,0.0003319872],"domain_scores_gemma":[0.998074,0.00038376203,0.00067116466,0.00082707877,0.000015926336,0.000028048082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005993559,0.0001738701,0.0007103602,0.000101878584,0.00027817252,0.000056306977,0.00074959215,0.000039495182,0.00018373987],"category_scores_gemma":[0.00014104246,0.00009168132,0.00014990418,0.00055499084,0.00048642175,0.000058234138,0.000392512,0.00021031995,0.0004647774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014958405,0.000009203419,0.0073501794,0.00021703063,0.0001251778,5.6561345e-7,0.000265089,0.000009538904,0.0000010415635,0.98194337,0.0011568521,0.0089070145],"study_design_scores_gemma":[0.0008867372,0.00001472915,0.048683755,0.0003476725,0.000031890613,0.000008448277,0.00013544237,0.0007010678,0.000023774051,0.23489109,0.71399105,0.00028436855],"about_ca_topic_score_codex":0.000114245755,"about_ca_topic_score_gemma":0.0006817079,"teacher_disagreement_score":0.74705225,"about_ca_system_score_codex":0.00008898296,"about_ca_system_score_gemma":0.00003284705,"threshold_uncertainty_score":0.59739286},"labels":[],"label_agreement":null},{"id":"W4383533422","doi":"10.1145/3580507.3597667","title":"Which wage distributions are consistent with statistical discrimination?","year":2023,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Statistical discrimination; Posterior probability; Econometrics; Parametric statistics; Wage; Bayes' theorem; Statistics; Statistical hypothesis testing; Nonparametric statistics; Group (periodic table); Mathematics; Probability distribution; Economics; Bayesian probability; Labour economics","score_opus":0.03434699723420464,"score_gpt":0.24864514917218647,"score_spread":0.21429815193798182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383533422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66282535,0.000061643725,0.19676885,0.011702434,0.00043272684,0.00040686555,0.011699455,0.0003764807,0.11572618],"genre_scores_gemma":[0.996024,0.000038499336,0.00086475356,0.00010226601,0.00002891512,0.000035552806,0.0006115262,0.000015047925,0.0022794246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896896,0.000016751075,0.00036868372,0.00032720144,0.000048140188,0.00027024635],"domain_scores_gemma":[0.99926376,0.00013058893,0.00013730193,0.00028380248,0.0000889038,0.0000956395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046036707,0.000112640446,0.00023732177,0.000098804536,0.0001443537,0.00009429923,0.00011409737,0.00005017429,0.0006139084],"category_scores_gemma":[0.00027375045,0.000099756864,0.000035602086,0.0005993829,0.00005843622,0.00010712571,0.0000586744,0.00009893876,0.0006278652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007292358,0.000053168656,0.09885283,0.00001538387,0.00002557807,0.000008157053,0.000036450758,0.00002211165,8.7799793e-7,0.89952624,0.0013439354,0.00010799898],"study_design_scores_gemma":[0.00040734286,0.000045365145,0.80635566,0.000011499546,0.000009197952,0.0000026955627,0.00023486243,0.008204906,0.0000049520554,0.17756972,0.006897583,0.00025620367],"about_ca_topic_score_codex":0.00020809208,"about_ca_topic_score_gemma":0.00095219864,"teacher_disagreement_score":0.7219565,"about_ca_system_score_codex":0.00007470973,"about_ca_system_score_gemma":0.000020261556,"threshold_uncertainty_score":0.80701464},"labels":[],"label_agreement":null},{"id":"W4384153377","doi":"10.1002/jae.2995","title":"Employment reconciliation and nowcasting","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Payroll; Nowcasting; Census; Payroll tax; Economics; Labour economics; Construct (python library); Econometrics; Demographic economics; Geography; Unemployment; Computer science; Accounting; Sociology; Economic growth; Demography; Population","score_opus":0.06414256434767004,"score_gpt":0.2375383432101385,"score_spread":0.17339577886246846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384153377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97578704,0.00041430848,0.0017231602,0.0004418012,0.0005976911,0.00009892689,0.000057128884,0.000024923944,0.020855008],"genre_scores_gemma":[0.9971974,0.001011641,0.0012129218,0.00016928748,0.00019013886,0.000003909501,0.0000063771517,0.000020290576,0.000188042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998378,0.0000067323217,0.001111072,0.00021807417,0.000053274834,0.00023283943],"domain_scores_gemma":[0.9983476,0.00022216717,0.0010870561,0.00015562972,0.00006564032,0.00012192015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029054254,0.00011849779,0.00043159982,0.0012550389,0.000077430544,0.00010488692,0.00016422833,0.00008427878,0.000095919684],"category_scores_gemma":[0.00035601945,0.00013032967,0.0000894767,0.0013120442,0.000026603895,0.00021401746,0.000073316434,0.00018142725,0.00013249893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008998387,0.00011742674,0.19462067,0.000107084896,0.00022310979,0.000022729104,0.00095268566,0.0015887421,0.000057540845,0.7500926,0.0013189876,0.05080841],"study_design_scores_gemma":[0.002353918,0.0002811238,0.2984027,0.000027977954,0.000027838047,0.00003075056,0.00055358553,0.012725441,0.00008754668,0.6149586,0.06987493,0.0006755964],"about_ca_topic_score_codex":0.000010252654,"about_ca_topic_score_gemma":0.0000029982407,"teacher_disagreement_score":0.13513406,"about_ca_system_score_codex":0.00015444527,"about_ca_system_score_gemma":0.000023204708,"threshold_uncertainty_score":0.531469},"labels":[],"label_agreement":null},{"id":"W4384155299","doi":"10.1126/science.adh9429","title":"Do we want less automation?","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Data science; Computer science; Engineering","score_opus":0.0512034646087249,"score_gpt":0.2728742343232276,"score_spread":0.2216707697145027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384155299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97892785,0.0001911529,0.0010172729,0.003453339,0.0008373933,0.000078222874,0.00008133023,0.00013507552,0.015278351],"genre_scores_gemma":[0.99818236,0.00023336476,0.00030257678,0.00006695203,0.000038927807,0.000007946611,0.0000024376664,0.0000060151006,0.0011594091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901557,0.0000061920564,0.0002667751,0.00035058608,0.00007389612,0.0002869626],"domain_scores_gemma":[0.9994186,0.000033352033,0.00010953129,0.00032804577,0.000039327286,0.00007110759],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019637244,0.00006363164,0.00012505772,0.0002610667,0.00020724727,0.00017289724,0.00041168093,0.0000270684,0.00010901456],"category_scores_gemma":[0.00015843427,0.00006496619,0.00003622013,0.0017096195,0.00016840758,0.00030646657,0.00012690954,0.00005814864,0.0012508646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.706283e-7,0.000013281305,0.03059757,0.000009667011,0.0000021746616,0.0000030056788,0.00039238573,0.00009088089,0.00006522793,0.962607,0.0001620149,0.006055783],"study_design_scores_gemma":[0.000121305675,0.000011617945,0.18501256,0.000009890509,5.9097135e-7,0.0000014901347,0.00014352168,0.031560976,0.00005491091,0.7704483,0.012473583,0.00016119749],"about_ca_topic_score_codex":0.000044357213,"about_ca_topic_score_gemma":0.0000078865005,"teacher_disagreement_score":0.1921587,"about_ca_system_score_codex":0.00006921579,"about_ca_system_score_gemma":0.00004754591,"threshold_uncertainty_score":0.9995268},"labels":[],"label_agreement":null},{"id":"W4385222399","doi":"10.5465/amproc.2023.12680symposium","title":"Fitting Throughout the Employment Cycle: PE Fit Before, During &amp; After Organizational Entry &amp; Exit","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Operations management; Economics","score_opus":0.03120110669980283,"score_gpt":0.2701964693497726,"score_spread":0.23899536264996976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385222399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772342,0.00016129653,0.000106709645,0.00564584,0.00014804014,0.0004342386,0.00008323516,0.0001383382,0.016048117],"genre_scores_gemma":[0.98525465,0.0010339831,0.00065288413,0.0007232449,0.00021310839,0.00010108212,0.000030707368,0.000051406172,0.011938932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979702,0.0000060764582,0.0008405842,0.0005379457,0.00018515349,0.0004599956],"domain_scores_gemma":[0.99920464,0.000033857203,0.00049042946,0.0001601292,0.00004728665,0.00006368941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012039742,0.00022566097,0.0003153464,0.00036348056,0.0002241517,0.00012516552,0.00055099133,0.00011316142,0.0004349099],"category_scores_gemma":[0.00010187946,0.00021116974,0.00011302567,0.0013497635,0.000079822064,0.0003745704,0.0006330988,0.00026508028,0.00049922743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004406489,0.00008929438,0.4164038,0.0005819978,0.000292947,0.0000017813305,0.0016503629,0.000084132094,0.000021586437,0.5750282,0.0050829756,0.00071887596],"study_design_scores_gemma":[0.0005173432,0.000011344473,0.74155825,0.00007528827,0.000030418789,0.0000017310529,0.00016141505,0.0003070904,0.00004024787,0.1764457,0.08053991,0.00031123514],"about_ca_topic_score_codex":0.000024481447,"about_ca_topic_score_gemma":0.0000028988732,"teacher_disagreement_score":0.3985825,"about_ca_system_score_codex":0.000084980085,"about_ca_system_score_gemma":0.0000037989992,"threshold_uncertainty_score":0.86112523},"labels":[],"label_agreement":null},{"id":"W4385362470","doi":"10.1515/9781553393290-015","title":"Adult Training for the 21st Century: EI Reform, Decentralization and Workforce Development in Canada","year":2013,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Workforce; Training (meteorology); Workforce development; Political science; Economic growth; Medical education; Geography; Medicine; Economics","score_opus":0.025724590419674297,"score_gpt":0.18467489367721676,"score_spread":0.15895030325754247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385362470","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000520601,0.000040932606,0.00035956662,0.00024497564,0.0003465972,0.00093706633,0.0013381545,0.000026681835,0.9961854],"genre_scores_gemma":[0.18563929,0.0070679905,0.0012598112,0.00077600044,0.000108221386,0.000029397363,0.0003914003,0.00015482806,0.80457306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985443,0.000014221819,0.00049160654,0.00048857526,0.00007828965,0.00038305204],"domain_scores_gemma":[0.9988912,0.0001019032,0.00046803066,0.00031558095,0.00010527546,0.00011803799],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022640904,0.00030781399,0.00046375912,0.00013034673,0.000315993,0.00005224502,0.00032211037,0.00021908413,0.000025589718],"category_scores_gemma":[0.000024039524,0.00031287706,0.00007614836,0.000020084834,0.000054025648,0.00011026001,0.00016779243,0.00025729596,0.0000017482139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003709767,0.0000041892604,0.00011385048,0.00006303364,0.00008567852,0.0000063000125,0.0002025964,0.00003101288,4.697086e-8,0.99238575,0.00007584489,0.0069946167],"study_design_scores_gemma":[0.0006488083,0.000011721289,0.00044289624,0.000113249785,0.000022722808,5.377391e-7,0.00032298357,0.00054426625,0.0000030912972,0.0050423504,0.99241114,0.00043624995],"about_ca_topic_score_codex":0.44696563,"about_ca_topic_score_gemma":0.0307229,"teacher_disagreement_score":0.99233526,"about_ca_system_score_codex":0.0018615796,"about_ca_system_score_gemma":0.00018265833,"threshold_uncertainty_score":0.99993235},"labels":[],"label_agreement":null},{"id":"W4385555060","doi":"10.3390/su151511955","title":"The Nexus between Employment and Economic Growth: A Cross-Country Analysis","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Nova Scotia; University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Developing country; Economics; Nexus (standard); Developed country; Labour economics; Output elasticity; Population; Development economics; Production (economics); Demographic economics; Economic growth; Macroeconomics","score_opus":0.0158553646581676,"score_gpt":0.27559117035530856,"score_spread":0.25973580569714094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385555060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99412555,0.00028122467,0.00029270814,0.0027376206,0.00019420186,0.00029842567,0.0005386726,0.000093516755,0.0014381016],"genre_scores_gemma":[0.9985159,0.00014183718,0.0000107425285,0.000057643243,0.00010156043,0.00005404823,0.00005666486,0.000017369755,0.0010442093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980224,0.00005693055,0.0007432987,0.0006060987,0.000048069876,0.00052325294],"domain_scores_gemma":[0.99832064,0.00048308168,0.00024321147,0.0006903335,0.00014396437,0.00011874702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036978053,0.00017601957,0.00045441804,0.00021667595,0.00047694132,0.00039228983,0.00031287174,0.00010848208,0.000048252903],"category_scores_gemma":[0.00095739524,0.00015803793,0.00018815215,0.0009073655,0.00028534743,0.00020129237,0.00026774057,0.00016344203,0.000058632835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010732461,0.000009612218,0.7060749,0.000027163676,0.0001818842,0.0000020705907,0.00013775108,0.00012160152,3.2594574e-8,0.29298452,0.000046130473,0.00040364134],"study_design_scores_gemma":[0.0001323005,0.0000142214685,0.5728357,4.4301788e-7,0.000022991244,1.1880515e-7,0.00009530318,0.0018974503,6.3811115e-7,0.4203541,0.004528429,0.0001183074],"about_ca_topic_score_codex":0.0039844234,"about_ca_topic_score_gemma":0.0005852376,"teacher_disagreement_score":0.13323916,"about_ca_system_score_codex":0.0008144361,"about_ca_system_score_gemma":0.00009229258,"threshold_uncertainty_score":0.64445996},"labels":[],"label_agreement":null},{"id":"W4385819526","doi":"10.2139/ssrn.4540678","title":"Does the Skill Composition of Trade Drive Educational Attainment? A Cross-Country Panel Analysis","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Composition (language); Educational attainment; Panel data; Panel analysis; Economics; Demographic economics; Psychology; Econometrics; Economic growth; Art","score_opus":0.018738628737561037,"score_gpt":0.26728008636796624,"score_spread":0.2485414576304052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385819526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97219825,0.0022374599,0.013282795,0.008119077,0.0015847124,0.00030630533,0.0017294906,0.0000247531,0.00051712955],"genre_scores_gemma":[0.99020815,0.0074897986,0.00008043747,0.00012065837,0.0005182494,0.000030519397,0.0004002508,0.00003897344,0.0011129472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996734,0.00009689974,0.001287659,0.0005148776,0.0001675787,0.0011989322],"domain_scores_gemma":[0.9973273,0.00022428193,0.0017142026,0.0005658292,0.0000996383,0.00006870257],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0043049543,0.00028463698,0.0007212425,0.00044028653,0.00028034468,0.00021975521,0.00072163186,0.00025748234,0.00012046553],"category_scores_gemma":[0.000111229645,0.0001991841,0.0006675833,0.0006086789,0.00014948985,0.000126751,0.0002198893,0.0024721855,0.000019751647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034359993,0.0001666255,0.19627133,0.000044091186,0.0034925842,0.00000113854,0.00040083687,0.004780498,0.0000055512346,0.79456407,0.000026142756,0.00021277569],"study_design_scores_gemma":[0.00023815637,0.00003118637,0.2238788,0.000022002298,0.00021463662,0.000008019176,0.00025056177,0.0026736706,0.0000037122081,0.77224714,0.00019803034,0.0002340924],"about_ca_topic_score_codex":0.00088388583,"about_ca_topic_score_gemma":0.0012586458,"teacher_disagreement_score":0.027607474,"about_ca_system_score_codex":0.0015347671,"about_ca_system_score_gemma":0.000999291,"threshold_uncertainty_score":0.9998292},"labels":[],"label_agreement":null},{"id":"W4385867857","doi":"10.59962/9780774850513-014","title":"Pathways to Employment for Women: Apprenticeship or College Training?","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Training (meteorology); Labour economics; Economics; Geography","score_opus":0.07704234901446766,"score_gpt":0.2107573089080186,"score_spread":0.13371495989355095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385867857","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015652442,0.00018700503,0.0018026858,0.000015579397,0.00048448748,0.0015515832,0.03567868,0.00007712503,0.9445504],"genre_scores_gemma":[0.03428503,0.00010834879,0.0015716571,0.00015748563,0.000101190155,0.000008597809,0.00007827547,0.00007675346,0.9636127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792486,0.00001187815,0.00066066,0.0007707066,0.00011649634,0.00051541196],"domain_scores_gemma":[0.9982125,0.00014030085,0.0006883635,0.0004843558,0.00018237914,0.00029208724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083641015,0.00021805224,0.000983744,0.00014411793,0.00018662156,0.00013936906,0.00062075607,0.00043160806,0.0007703104],"category_scores_gemma":[0.000050141345,0.0005060858,0.00030044772,0.000022936121,0.00015725859,0.000074585194,0.00026373233,0.00022556717,0.000011692922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078290474,0.00021512643,0.000207501,0.0011093618,0.0009652006,0.00049754133,0.0049235057,0.000010906497,0.0000020351288,0.90516585,0.03157536,0.05454469],"study_design_scores_gemma":[0.0013741298,0.0003354252,0.00029773713,0.0002453024,0.00003634894,0.000008406596,0.00031754602,0.00007102433,3.9297174e-7,0.07990526,0.9167663,0.0006421207],"about_ca_topic_score_codex":0.014703773,"about_ca_topic_score_gemma":0.086016186,"teacher_disagreement_score":0.88519096,"about_ca_system_score_codex":0.00036161,"about_ca_system_score_gemma":0.00011590137,"threshold_uncertainty_score":0.99973905},"labels":[],"label_agreement":null},{"id":"W4386187952","doi":"10.5539/ijef.v15n9p107","title":"Effects of Unemployment on Economic Sectors: A Proposal for Behavior Analysis with Brazilian Municipalities","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Unemployment; Tobit model; Economics; Public sector; Work (physics); Private sector; Economic sector; Descriptive statistics; Regression analysis; Unemployment rate; Labour economics; Structural unemployment; Economic growth; Economy; Econometrics","score_opus":0.01686736827605584,"score_gpt":0.25447613883668496,"score_spread":0.23760877056062912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386187952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973076,0.0001907972,0.00023375962,0.000665659,0.0005912351,0.00019283725,0.0006221481,0.00000467106,0.00019127461],"genre_scores_gemma":[0.99641955,0.0022041812,0.0008538061,0.00006686142,0.00013462892,0.00003071292,0.000020571031,0.000018237868,0.00025143608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877465,0.0000114176455,0.0008000358,0.0002227116,0.000031883585,0.0001593301],"domain_scores_gemma":[0.9985015,0.00020582226,0.0010097423,0.00014288683,0.000100255704,0.00003980113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005796737,0.0001359543,0.00051263056,0.0005329023,0.000037416623,0.00006716059,0.00029857684,0.000057586793,0.000011243324],"category_scores_gemma":[0.000043041346,0.0001317953,0.00021883864,0.00011721344,0.000070055554,0.00018039269,0.000045607216,0.000084079045,0.000004535771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038182925,0.00015042411,0.04074856,0.000036528996,0.0011998162,0.00001538515,0.00035816073,0.022365177,0.0000066142225,0.9331235,0.000056054585,0.0015579292],"study_design_scores_gemma":[0.009561238,0.0031755303,0.36836648,0.00027301896,0.0006035484,0.000041161453,0.0003276309,0.15056469,0.0016099849,0.43502688,0.029190866,0.0012589827],"about_ca_topic_score_codex":0.00016271556,"about_ca_topic_score_gemma":0.00020864091,"teacher_disagreement_score":0.49809664,"about_ca_system_score_codex":0.00013672824,"about_ca_system_score_gemma":0.00007506584,"threshold_uncertainty_score":0.5374456},"labels":[],"label_agreement":null},{"id":"W4386191208","doi":"10.1093/jeea/jvad047","title":"Dissecting Idiosyncratic Earnings Risk","year":2023,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Norges Forskningsråd; University of Toronto; University of Edinburgh; Rheinische Friedrich-Wilhelms-Universität Bonn; Universitetet i Oslo; University of Minnesota; University of Southampton; University of Essex; University of Manchester; York University; Universität zu Köln; University of Florida","keywords":"Earnings; Economics; Kurtosis; Skewness; Norwegian; Wage; Labour economics; Demographic economics; Econometrics; Statistics","score_opus":0.014094454256947836,"score_gpt":0.2080912763066501,"score_spread":0.19399682204970228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386191208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97015524,0.000045408557,0.00021171467,0.0012325606,0.0025809049,0.000056176585,0.00005454317,0.000023268683,0.025640182],"genre_scores_gemma":[0.9937361,0.00017186454,0.000044694916,0.00007792263,0.00073267845,4.4410604e-7,0.0000020583357,0.000028052042,0.005206219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984384,0.00023387226,0.0009452026,0.00013577878,0.00004757397,0.000199169],"domain_scores_gemma":[0.9957722,0.00022664522,0.0037002238,0.00019239828,0.00006153299,0.00004700049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009233177,0.000093530696,0.0002754847,0.00012965164,0.00019014538,0.00011222756,0.0003568691,0.000040963936,0.000052974712],"category_scores_gemma":[0.0024992987,0.00008207872,0.00025817295,0.00018069157,0.000011541333,0.00024740875,0.00009879461,0.00032397296,0.0007648874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006127049,0.000013095222,0.9873055,0.000006103315,0.00013774371,0.0000029675114,0.00048162483,0.003021273,0.000015626178,0.006206046,0.0020804808,0.00072336174],"study_design_scores_gemma":[0.00039062434,0.000024406287,0.94725335,0.000018140194,0.00001857444,0.0000033189528,0.00008668911,0.0038543302,0.000010270075,0.036699556,0.011514132,0.00012662803],"about_ca_topic_score_codex":0.0000332772,"about_ca_topic_score_gemma":0.000013583059,"teacher_disagreement_score":0.04005222,"about_ca_system_score_codex":0.0006392176,"about_ca_system_score_gemma":0.00001968758,"threshold_uncertainty_score":0.9831335},"labels":[],"label_agreement":null},{"id":"W4386453829","doi":"10.2139/ssrn.4561617","title":"Race and the Income-Achievement Gap","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Race (biology); Psychology; Political science; Economics; Sociology; Gender studies","score_opus":0.015116055170412142,"score_gpt":0.22641157438332576,"score_spread":0.21129551921291362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386453829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724847,0.0052072015,0.0036406969,0.013382112,0.00037209367,0.00015538363,0.000020671427,0.00003835103,0.004698788],"genre_scores_gemma":[0.97531205,0.02053824,0.000021169266,0.00022915372,0.00014379212,0.000008701134,0.0000033844844,0.000016704844,0.0037267846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813443,0.000055883946,0.0004248187,0.00018779069,0.000051204872,0.0011458412],"domain_scores_gemma":[0.9993852,0.00010208641,0.00024439453,0.00019410424,0.000022040256,0.00005217525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075860373,0.00010798159,0.00025438407,0.000119856784,0.0002701293,0.00011434809,0.00023676865,0.00004596997,0.000031543066],"category_scores_gemma":[0.00014058826,0.00008166359,0.000092795504,0.00030290955,0.00007891571,0.000113188704,0.00009369815,0.0008263635,0.00012252395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041615025,0.0000117322115,0.025780354,0.000003951073,0.00008594182,0.000001528985,0.00013384767,0.0000175864,0.0000012731334,0.9717847,0.000039621376,0.0020978218],"study_design_scores_gemma":[0.0012489964,0.00004875126,0.01569694,0.0000041626076,0.0000056293607,0.00002938269,0.0003131266,0.0016417038,6.2614964e-7,0.9735735,0.0073204003,0.00011675904],"about_ca_topic_score_codex":0.00015377912,"about_ca_topic_score_gemma":0.0002489272,"teacher_disagreement_score":0.015331038,"about_ca_system_score_codex":0.0002766729,"about_ca_system_score_gemma":0.00013141074,"threshold_uncertainty_score":0.35901842},"labels":[],"label_agreement":null},{"id":"W4386611230","doi":"10.2139/ssrn.4567671","title":"Wage and Earnings Inequality between and within Occupations: The Role of Labor Supply","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Labour economics; Wage inequality; Inequality; Wage","score_opus":0.013602701431363405,"score_gpt":0.23244774473758154,"score_spread":0.21884504330621812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386611230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954755,0.0025243855,0.00026946556,0.0011386012,0.000056031135,0.00009469123,0.00016396337,0.000017310063,0.00026008007],"genre_scores_gemma":[0.9947691,0.004783926,0.00003955047,0.000044338703,0.000085458734,0.0000044965905,0.000012685354,0.00001444124,0.0002460162],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984508,0.000071619674,0.0005576779,0.0001913968,0.000055051285,0.00067341595],"domain_scores_gemma":[0.99911207,0.00017584513,0.0004434396,0.00016585168,0.00004892633,0.00005385817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055869212,0.00010629568,0.0002685869,0.00013504065,0.00020459181,0.00006503965,0.00016758959,0.00006695235,0.000013258683],"category_scores_gemma":[0.0002791705,0.00008746703,0.000048859398,0.00035781582,0.000082432794,0.00015948617,0.000078819496,0.0007310205,0.000009778099],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007811299,0.000005997351,0.5858541,0.000004723265,0.00004919882,2.2764247e-7,0.00039488773,0.0000044102158,0.000011536199,0.41188708,0.000003011504,0.0017769819],"study_design_scores_gemma":[0.00019388337,0.000053961892,0.4766683,0.000005221925,0.0000070629453,0.0000057056673,0.0006877182,0.00033674273,0.000009024096,0.52135783,0.00060412346,0.00007044452],"about_ca_topic_score_codex":0.00044250593,"about_ca_topic_score_gemma":0.00028964374,"teacher_disagreement_score":0.10947074,"about_ca_system_score_codex":0.00009545372,"about_ca_system_score_gemma":0.00015875633,"threshold_uncertainty_score":0.35668018},"labels":[],"label_agreement":null},{"id":"W4386809848","doi":"10.1002/sej.1479","title":"Are entrepreneurs penalized during job searches? It depends on who is hiring","year":2023,"lang":"en","type":"article","venue":"Strategic Entrepreneurship Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; University of Virginia; Ewing Marion Kauffman Foundation","keywords":"Entrepreneurship; Moderation; Business; Wage; Marketing; Selection (genetic algorithm); Personnel selection; Demographic economics; Labour economics; Psychology; Economics; Management; Social psychology; Computer science","score_opus":0.11112957773982686,"score_gpt":0.2874195245544251,"score_spread":0.17628994681459825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386809848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967609,0.00025181193,0.000026859227,0.0043108007,0.0008170888,0.00016455648,0.00025113198,0.00013272595,0.026436036],"genre_scores_gemma":[0.99017894,0.0011936263,0.00002617236,0.0006324541,0.0004778003,0.000014770981,0.000014901688,0.000071673094,0.0073896754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963881,0.00018125969,0.0011866648,0.0008992594,0.00028275241,0.0010619762],"domain_scores_gemma":[0.99740887,0.00021024351,0.0010789381,0.00073164067,0.00011229705,0.00045799284],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019018012,0.0004175868,0.00070377986,0.00067445065,0.00047393813,0.0007222075,0.00070561026,0.00019782598,0.0025508166],"category_scores_gemma":[0.00032451953,0.00044146564,0.00043185893,0.00083903293,0.000077252844,0.0003481739,0.00017177945,0.0009999131,0.0011218847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026860888,0.00015959347,0.91371834,0.00014062958,0.00026752878,0.0012679572,0.0011599594,0.0013561589,0.00027448696,0.07958809,0.0014651468,0.0003335107],"study_design_scores_gemma":[0.00300453,0.00013438142,0.596277,0.0003099414,0.000029913415,0.00023022856,0.0011807439,0.0014551186,0.00083884306,0.3939675,0.0015614673,0.00101031],"about_ca_topic_score_codex":0.00006666026,"about_ca_topic_score_gemma":0.000052185336,"teacher_disagreement_score":0.3174413,"about_ca_system_score_codex":0.00024356773,"about_ca_system_score_gemma":0.000064943495,"threshold_uncertainty_score":0.9998037},"labels":[],"label_agreement":null},{"id":"W4387313733","doi":"10.15240/tul/009/lef-2023-01","title":"Financial Potential of Czech Employees from the Perspective of Gender Statistics","year":2023,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Wage; Inflation (cosmology); Economics; Financial crisis; Demographic economics; Distribution (mathematics); Labour economics; Macroeconomics; Mathematics; Geography","score_opus":0.034313772779532105,"score_gpt":0.24842810288150818,"score_spread":0.21411433010197609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387313733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516223,0.00019518286,0.03363957,0.00034337174,0.00039633826,0.0001205971,0.0068987776,0.000024603065,0.006759259],"genre_scores_gemma":[0.9978796,0.00016523298,0.0014249288,0.00007257507,0.00007991389,0.000003872677,0.000048909347,0.000011851217,0.00031312057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999078,0.000021599975,0.00048442918,0.00021210698,0.000052941876,0.00015092688],"domain_scores_gemma":[0.9991387,0.00018315783,0.00025748918,0.00028430347,0.00011615882,0.000020169291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046958987,0.00008533489,0.00027559212,0.00006907019,0.000046948022,0.000015156142,0.00021845545,0.00006282101,0.0004900868],"category_scores_gemma":[0.00038485118,0.00007135087,0.00008763966,0.0003011528,0.00008498519,0.000049353526,0.00009287245,0.000083039486,0.000052373704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018556206,0.00004623604,0.036598362,0.000009218487,0.000050642728,0.0000020649936,0.0005754402,0.000078161574,0.000038265924,0.96098375,0.001439585,0.00015972731],"study_design_scores_gemma":[0.00019282459,0.000027139205,0.31357557,0.0000022193115,0.000006401422,9.674459e-8,0.00034486494,0.002045355,0.000050765437,0.68338424,0.00029379915,0.00007674831],"about_ca_topic_score_codex":0.0040716664,"about_ca_topic_score_gemma":0.00020508403,"teacher_disagreement_score":0.2775995,"about_ca_system_score_codex":0.000031145748,"about_ca_system_score_gemma":0.00003555147,"threshold_uncertainty_score":0.61551684},"labels":[],"label_agreement":null},{"id":"W4387325723","doi":"10.1787/ce97e645-en","title":"Number of unique job postings in Flanders by occupation and quarter-year of interest","year":2022,"lang":"en","type":"other","venue":"OECD skills studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Geography; Archaeology","score_opus":0.02563357076104803,"score_gpt":0.2713058454712518,"score_spread":0.24567227471020378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387325723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7228248,0.005498778,0.000048798152,0.00020630495,0.0003605078,0.00033702966,0.0017399564,0.000025624833,0.2689582],"genre_scores_gemma":[0.9608558,0.0063238023,0.0002086095,0.00006369935,0.000029442906,0.000025755444,0.00009831052,0.00010911747,0.03228546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894965,0.000037434882,0.0005636759,0.00028297937,0.000031117608,0.00013512786],"domain_scores_gemma":[0.9989967,0.00011573625,0.0006440871,0.0001998246,0.00002380854,0.00001985381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004390413,0.00016485757,0.0006798241,0.00019535585,0.000021999438,0.000007795636,0.000116126255,0.00010828631,0.0008722916],"category_scores_gemma":[0.00013618861,0.00017800833,0.000058010497,0.00010846804,0.00010000191,0.00003259542,0.00013569123,0.00013583402,0.00000914123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017744083,0.00010997313,0.9095127,0.00040706198,0.00022577106,0.0000018906773,0.0011110109,5.7163476e-7,0.000003258054,0.042371064,0.04606313,0.00017581704],"study_design_scores_gemma":[0.0075725126,0.00092333,0.43976083,0.0017692276,0.00015444825,0.000009784688,0.009762598,0.000157875,0.000058784964,0.24333864,0.2930223,0.003469659],"about_ca_topic_score_codex":0.0017649588,"about_ca_topic_score_gemma":0.0016279714,"teacher_disagreement_score":0.46975186,"about_ca_system_score_codex":0.00006688398,"about_ca_system_score_gemma":0.000009480005,"threshold_uncertainty_score":0.9550982},"labels":[],"label_agreement":null},{"id":"W4387744877","doi":"10.1787/9633d9f3-en","title":"What are the earnings advantages from education?","year":2023,"lang":"en","type":"book-chapter","venue":"Education at a glance. OECD indicators/Education at a glance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Educational attainment; Czech; Quarter (Canadian coin); Demographic economics; Secondary education; Demography; Labour economics; Geography; Economics; Psychology; Economic growth; Mathematics education; Sociology; Accounting","score_opus":0.017736153056695812,"score_gpt":0.25282013542186565,"score_spread":0.23508398236516984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387744877","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28247973,0.06865102,0.00013738012,0.04424233,0.07994858,0.0050050286,0.0051816474,0.0009645922,0.5133897],"genre_scores_gemma":[0.10113655,0.016584765,0.0003827991,0.007153053,0.004012785,0.0012298006,0.0062405965,0.0003665574,0.8628931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947382,0.00010657554,0.0019939137,0.0020137269,0.000397056,0.0007504996],"domain_scores_gemma":[0.99156886,0.0004877556,0.004700631,0.0024562997,0.00032664512,0.00045982606],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011189156,0.0009928661,0.0012437351,0.0009784151,0.0009703188,0.0006361852,0.0015185425,0.0007927146,0.0066780304],"category_scores_gemma":[0.00041238742,0.001030217,0.0004683541,0.000458793,0.00037619786,0.0008377569,0.000457812,0.0010422575,0.013892648],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009240234,0.00070179306,0.2266965,0.00033344523,0.0003525586,0.000002246615,0.003782697,0.0000053803537,0.0000087621875,0.54360217,0.20098232,0.023439702],"study_design_scores_gemma":[0.000279424,0.000025469628,0.08461248,0.00049342087,0.000058890542,0.000009621968,0.0012888553,0.000017377788,0.000011435601,0.10433357,0.8078333,0.0010361536],"about_ca_topic_score_codex":0.00044493694,"about_ca_topic_score_gemma":0.00057342305,"teacher_disagreement_score":0.606851,"about_ca_system_score_codex":0.0027733778,"about_ca_system_score_gemma":0.0026000538,"threshold_uncertainty_score":0.9992148},"labels":[],"label_agreement":null},{"id":"W4387830695","doi":"10.3386/w31665","title":"Wage and Earnings Inequality Between and Within Occupations: The Role of Labor Supply","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agencia Estatal de Investigación; Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Inequality; Economics; Wage inequality; Wage; Labour economics; Mathematics","score_opus":0.3418147730292956,"score_gpt":0.4720783178562864,"score_spread":0.13026354482699082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387830695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258437,0.002451282,0.000005181685,0.0011078819,0.00025799434,0.00062611105,0.006936516,0.000017860348,0.062753476],"genre_scores_gemma":[0.9934842,0.003608285,0.000105066065,0.000012536286,0.00030114662,0.000048596754,0.0005401245,0.000043658503,0.0018563941],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99689543,0.00018571314,0.0016235455,0.00060831936,0.0003784956,0.00030851146],"domain_scores_gemma":[0.99497914,0.0024088004,0.0011957479,0.00041274313,0.00090897543,0.00009459852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018452154,0.00020796111,0.0008203411,0.000728561,0.00017708536,0.00009228693,0.0004311298,0.00035652184,0.0001157743],"category_scores_gemma":[0.0037373505,0.0001959527,0.00011306292,0.00036050557,0.0004830932,0.0001707708,0.0003969681,0.000717631,0.00003487798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016604923,0.000018856212,0.51974785,0.00014405737,0.00015361958,3.8124594e-7,0.00022214116,0.000019690726,0.00000443203,0.47867832,0.0005203245,0.00047372322],"study_design_scores_gemma":[0.0002006127,0.000046968224,0.40731704,0.00005098331,0.000008395086,0.0000012974948,0.00011029483,0.0004788172,0.000018675057,0.5858231,0.0057997247,0.00014410345],"about_ca_topic_score_codex":0.009603094,"about_ca_topic_score_gemma":0.00045224314,"teacher_disagreement_score":0.11243081,"about_ca_system_score_codex":0.00040032473,"about_ca_system_score_gemma":0.00082007685,"threshold_uncertainty_score":0.99699205},"labels":[],"label_agreement":null},{"id":"W4388016896","doi":"10.1920/wp/ifs.2023.3223","title":"The minimum wages, turnover, and the shape of the wage distribution","year":2023,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Winnipeg; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Labour economics; Distribution (mathematics); Efficiency wage; Minimum wage; Wage; Mathematics; Mathematical analysis","score_opus":0.05298782665713749,"score_gpt":0.2616483679200205,"score_spread":0.208660541262883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388016896","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32689542,0.04906164,0.0007870446,0.033667453,0.021385478,0.004068429,0.029171178,0.0002183634,0.534745],"genre_scores_gemma":[0.92514265,0.02647893,0.0000053733415,0.00011679255,0.0003032048,0.00005427012,0.00021879133,0.00004956252,0.04763044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978505,0.00008645086,0.0011545887,0.00042049988,0.00017772043,0.0003102642],"domain_scores_gemma":[0.99665064,0.0009229384,0.0012004281,0.0010222364,0.00016311729,0.00004062753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005960031,0.00025447688,0.0006408747,0.000037709622,0.00038229855,0.00017447135,0.00069375825,0.00026988873,0.000086094864],"category_scores_gemma":[0.0019693933,0.00011992797,0.00036534178,0.00036135965,0.00048081524,0.000053965145,0.0005066676,0.00046360883,0.000023745097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000532149,0.000034999495,0.010856787,0.00015064595,0.00031193148,0.0000023228613,0.000097098586,0.0000032383712,6.8492363e-7,0.94643354,0.03701771,0.0050378246],"study_design_scores_gemma":[0.00076369476,0.000019817528,0.10328068,0.00006716926,0.000057893816,0.000007604896,0.00007968617,0.0029717726,0.0000035208404,0.15479217,0.7376192,0.00033676578],"about_ca_topic_score_codex":0.0026145955,"about_ca_topic_score_gemma":0.0009845446,"teacher_disagreement_score":0.79164135,"about_ca_system_score_codex":0.00016362949,"about_ca_system_score_gemma":0.00014451666,"threshold_uncertainty_score":0.4890521},"labels":[],"label_agreement":null},{"id":"W4388038468","doi":"10.1920/wp.ifs.2023.3223","title":"The minimum wages, turnover, and the shape of the wage distribution","year":2023,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Winnipeg; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distribution (mathematics); Minimum wage; Economics; Labour economics; Wage; Efficiency wage; Mathematics; Mathematical analysis","score_opus":0.05298782665713749,"score_gpt":0.2616483679200205,"score_spread":0.208660541262883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388038468","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32689542,0.04906164,0.0007870446,0.033667453,0.021385478,0.004068429,0.029171178,0.0002183634,0.534745],"genre_scores_gemma":[0.92514265,0.02647893,0.0000053733415,0.00011679255,0.0003032048,0.00005427012,0.00021879133,0.00004956252,0.04763044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978505,0.00008645086,0.0011545887,0.00042049988,0.00017772043,0.0003102642],"domain_scores_gemma":[0.99665064,0.0009229384,0.0012004281,0.0010222364,0.00016311729,0.00004062753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005960031,0.00025447688,0.0006408747,0.000037709622,0.00038229855,0.00017447135,0.00069375825,0.00026988873,0.000086094864],"category_scores_gemma":[0.0019693933,0.00011992797,0.00036534178,0.00036135965,0.00048081524,0.000053965145,0.0005066676,0.00046360883,0.000023745097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000532149,0.000034999495,0.010856787,0.00015064595,0.00031193148,0.0000023228613,0.000097098586,0.0000032383712,6.8492363e-7,0.94643354,0.03701771,0.0050378246],"study_design_scores_gemma":[0.00076369476,0.000019817528,0.10328068,0.00006716926,0.000057893816,0.000007604896,0.00007968617,0.0029717726,0.0000035208404,0.15479217,0.7376192,0.00033676578],"about_ca_topic_score_codex":0.0026145955,"about_ca_topic_score_gemma":0.0009845446,"teacher_disagreement_score":0.79164135,"about_ca_system_score_codex":0.00016362949,"about_ca_system_score_gemma":0.00014451666,"threshold_uncertainty_score":0.4890521},"labels":[],"label_agreement":null},{"id":"W4388074645","doi":"10.4000/cres.1004","title":"Les critères de sélection de la main-d’œuvre et le jugement sur les compétences des candidats à l’embauche au Canada","year":2007,"lang":"fr","type":"article","venue":"Cahiers de la recherche sur l éducation et les savoirs","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Philosophy","score_opus":0.14547227809117871,"score_gpt":0.3424126109813413,"score_spread":0.19694033289016258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388074645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89459044,0.00698282,0.04820603,0.01260895,0.00095399254,0.00026860915,0.00038876315,0.000052830095,0.03594755],"genre_scores_gemma":[0.9681664,0.0077061704,0.014682453,0.0009666916,0.00021723272,0.00004705958,0.00013604989,0.00007748156,0.008000458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9932246,0.0040487335,0.0009265513,0.000653628,0.00013882018,0.0010076306],"domain_scores_gemma":[0.9896965,0.008677345,0.0005684488,0.00044857783,0.0002756161,0.00033351255],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.029407479,0.0004168739,0.00051965006,0.0002897907,0.00066809275,0.000329836,0.00045179378,0.0014332572,0.00015664389],"category_scores_gemma":[0.008937512,0.00053797424,0.0001899777,0.0006780055,0.0009843053,0.0003550397,0.000064466316,0.0017763497,0.0000045423617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00014442734,0.00064520544,0.25519392,0.00068924704,0.00029480841,0.000036543137,0.03663108,0.0026825217,0.00032698966,0.6652068,0.004098633,0.03404982],"study_design_scores_gemma":[0.0011911106,0.00012374955,0.60695195,0.00038507837,0.000099520104,0.000088393805,0.02751618,0.0044686077,0.000902191,0.15961352,0.19744553,0.0012141495],"about_ca_topic_score_codex":0.9130074,"about_ca_topic_score_gemma":0.9220561,"teacher_disagreement_score":0.5055933,"about_ca_system_score_codex":0.022146257,"about_ca_system_score_gemma":0.007692024,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W4388464631","doi":"10.1016/j.jmoneco.2026.103958","title":"Disincentive Effects of Unemployment Insurance Benefits","year":2023,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Unemployment; Generosity; Labour economics; Economics; Wage; Coronavirus disease 2019 (COVID-19); Pandemic; Labor demand; Stimulus (psychology); Demographic economics; Economic growth","score_opus":0.019505446013641077,"score_gpt":0.20777731624885803,"score_spread":0.18827187023521696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388464631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944668,0.0024575947,0.00017488268,0.00044627587,0.0013884449,0.00012545679,0.00027854482,0.000011621238,0.00065041916],"genre_scores_gemma":[0.9920755,0.0071828123,0.00035629293,0.000102247606,0.0001409943,0.0000024413996,0.000011509395,0.000023978655,0.000104244704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981428,0.000025487661,0.0013389711,0.00020854235,0.000040297004,0.0002439471],"domain_scores_gemma":[0.99782914,0.0002186406,0.0015033619,0.00027281354,0.000071038674,0.000105012645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009743275,0.00015512643,0.00068351574,0.00032069106,0.000042280757,0.000028841416,0.00032312507,0.00008446539,0.000026868716],"category_scores_gemma":[0.00013531501,0.0001672273,0.00026950854,0.00025972177,0.000052612086,0.0003217698,0.00007833708,0.00017252397,0.00005548724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015940478,0.00025339783,0.7685249,0.00020608316,0.00048789737,0.00003857241,0.0004540706,0.024334522,0.00004113106,0.19728726,0.0003178452,0.007894916],"study_design_scores_gemma":[0.0014603569,0.00029747898,0.8253498,0.00010114814,0.000020729818,0.00001035312,0.000040207018,0.0053511346,0.000414865,0.1640689,0.0025862302,0.00029878234],"about_ca_topic_score_codex":0.000062218,"about_ca_topic_score_gemma":0.000015206146,"teacher_disagreement_score":0.05682493,"about_ca_system_score_codex":0.00011311334,"about_ca_system_score_gemma":0.00003156161,"threshold_uncertainty_score":0.68193316},"labels":[],"label_agreement":null},{"id":"W4388582778","doi":"10.1016/j.jeconom.2023.105571","title":"Role models and revealed gender-specific costs of STEM in an extended Roy model of major choice","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Leibniz-Gemeinschaft; Social Sciences and Humanities Research Council of Canada","keywords":"Consumption (sociology); Selection (genetic algorithm); Monotone polygon; Econometrics; Component (thermodynamics); Representation (politics); Discrete choice; Differential (mechanical device); German; Wage; Economics; Mathematics; Computer science; Engineering; Sociology; Artificial intelligence; Labour economics; Geography","score_opus":0.19353045861792678,"score_gpt":0.26680435020119325,"score_spread":0.07327389158326647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388582778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899111,0.00340173,0.003985446,0.00007050556,0.000176614,0.00014435805,0.00038761753,0.0000072543194,0.0019154223],"genre_scores_gemma":[0.9949017,0.0034868522,0.0014050552,0.000028525348,0.00005064197,0.0000030999115,0.000006806513,0.000028775947,0.00008854674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997214,0.000046155754,0.002067397,0.00029610982,0.00009217509,0.00028414163],"domain_scores_gemma":[0.9971176,0.0003003474,0.0018491836,0.00036135362,0.00020979517,0.00016175493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030273471,0.00017058387,0.0009405755,0.0025902248,0.00003149284,0.000048187347,0.00038472793,0.00015002818,0.00002625886],"category_scores_gemma":[0.00016047285,0.00018940454,0.00016368154,0.0017865647,0.000053017244,0.0007413487,0.00009846398,0.0002499926,0.0000036205854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024079281,0.0007702291,0.3714106,0.0003116384,0.00020674567,0.000019981431,0.0013324224,0.10824656,0.00041747224,0.50467414,0.00009891082,0.012270537],"study_design_scores_gemma":[0.0019209876,0.0002424225,0.15054964,0.000042847874,0.000013985922,0.000006244898,0.00041376724,0.551782,0.000047555957,0.29459074,0.00009517633,0.000294611],"about_ca_topic_score_codex":0.000054344113,"about_ca_topic_score_gemma":0.00004159086,"teacher_disagreement_score":0.44353548,"about_ca_system_score_codex":0.00019783205,"about_ca_system_score_gemma":0.000056495806,"threshold_uncertainty_score":0.77236927},"labels":[],"label_agreement":null},{"id":"W4388610810","doi":"10.1080/00036846.2023.2281290","title":"The use of major-related knowledge by early career college graduates","year":2023,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Saint Mary’s University","keywords":"Earnings; Matching (statistics); Work (physics); Demographic economics; Value (mathematics); Economics; Actuarial science; Econometrics; Statistics; Mathematics; Finance; Engineering","score_opus":0.04774653158965739,"score_gpt":0.21191890198248747,"score_spread":0.16417237039283009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388610810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835059,0.0003529853,0.00006031803,0.0005477855,0.00048284247,0.00033455525,0.00215008,0.00008167961,0.012483877],"genre_scores_gemma":[0.9945151,0.0010151528,0.000088353576,0.000078751815,0.000037381833,0.000060943974,0.00012654887,0.000054069766,0.004023679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99809587,0.00001705891,0.0010042647,0.00042800905,0.000022015427,0.0004327917],"domain_scores_gemma":[0.9983399,0.00045306393,0.0004733074,0.0006024099,0.00003905806,0.00009227959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089829764,0.00020560839,0.0004587791,0.00013779991,0.00021727152,0.000119393466,0.00041419774,0.00016254539,0.00004563871],"category_scores_gemma":[0.00007164839,0.00020485636,0.00014277633,0.0004399362,0.00015245698,0.00015663216,0.00017691695,0.0001703933,0.000771895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002363672,0.000038552556,0.010329021,0.000014056134,0.00013609258,4.3845802e-7,0.00020959855,0.00024783047,0.000023460836,0.981816,0.006284621,0.0008766861],"study_design_scores_gemma":[0.0013208935,0.000051049432,0.036266346,0.000007849609,0.000020726986,0.0000011049012,0.00016249673,0.010194033,0.00023969855,0.6630005,0.2880703,0.00066495046],"about_ca_topic_score_codex":0.00031458243,"about_ca_topic_score_gemma":0.00012927395,"teacher_disagreement_score":0.31881547,"about_ca_system_score_codex":0.00011174448,"about_ca_system_score_gemma":0.000029448247,"threshold_uncertainty_score":0.9921406},"labels":[],"label_agreement":null},{"id":"W4388647990","doi":"10.3386/w31866","title":"Job Transitions and Employee Earnings After Acquisitions: Linking Corporate and Worker Outcomes","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Business; Earnings; Labour economics; Demographic economics; Accounting; Economics","score_opus":0.39397728590406833,"score_gpt":0.45564635655501284,"score_spread":0.06166907065094451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388647990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8357598,0.0052313944,0.00010219391,0.00404587,0.0011218853,0.0010350512,0.005553723,0.0000823547,0.14706774],"genre_scores_gemma":[0.98301435,0.00611076,0.0003022736,0.000070439266,0.0003455765,0.00021414574,0.0005985687,0.000088870394,0.009255007],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970611,0.000097597,0.0012692643,0.00081051345,0.00032802403,0.00043351154],"domain_scores_gemma":[0.99716616,0.0009422659,0.00068896596,0.000326709,0.00072819606,0.00014771681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0077686966,0.0002773207,0.0008650877,0.0013249879,0.00022543712,0.00022696797,0.000246967,0.00046722073,0.00039937688],"category_scores_gemma":[0.00088667567,0.0003163606,0.00018651052,0.00031595412,0.00037484735,0.00026583154,0.00023158613,0.00077957445,0.00016213041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051849624,0.000045294244,0.55064994,0.0002865424,0.00041619907,0.000018767636,0.00020415001,0.00006203153,0.0000022561985,0.44585496,0.0019107771,0.0004972263],"study_design_scores_gemma":[0.00032397045,0.0000381595,0.35523298,0.00013752212,0.000011311327,0.000009047139,0.000028198034,0.00033121058,5.062437e-7,0.64013016,0.0035010758,0.00025585646],"about_ca_topic_score_codex":0.0012044503,"about_ca_topic_score_gemma":0.00045700648,"teacher_disagreement_score":0.19541696,"about_ca_system_score_codex":0.00060610025,"about_ca_system_score_gemma":0.0005568706,"threshold_uncertainty_score":0.99992883},"labels":[],"label_agreement":null},{"id":"W4389687713","doi":"10.1016/j.rssm.2023.100877","title":"Educational expansion, fields of study, and the gender gap in analytic skill usage on the job","year":2023,"lang":"en","type":"article","venue":"Research in Social Stratification and Mobility","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Bachelor; Field (mathematics); Gender gap; Bachelor degree; Degree (music); Psychology; Demographic economics; Mathematics education; Mathematics; Economics; Political science; Physics","score_opus":0.2338859514431433,"score_gpt":0.4053510058177171,"score_spread":0.1714650543745738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389687713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98566085,0.000077198674,0.000011622305,0.008627861,0.000030795298,0.0005756585,0.000036065292,0.0000030194028,0.0049769515],"genre_scores_gemma":[0.99945223,0.00019266104,0.000002687657,0.000043655924,0.000029358236,0.00012865433,0.000006514468,0.0000031112274,0.0001411342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986963,0.00040697827,0.0003977596,0.00024673736,0.0001040865,0.00014808925],"domain_scores_gemma":[0.99847275,0.0011396187,0.000077535886,0.00022260804,0.000063124586,0.000024345505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010276829,0.000052420102,0.00015727866,0.00012778078,0.00019504594,0.00005235605,0.00013282837,0.00004714568,0.000059119313],"category_scores_gemma":[0.00071157864,0.000037249632,0.000025533485,0.0006239421,0.00030803576,0.000047628517,0.00005139211,0.00024234178,0.0000045005922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041080883,0.00023060464,0.20466992,0.000023941848,0.000008180865,2.7026636e-7,0.004545338,0.0000070632127,0.000003757804,0.7895138,0.0000938945,0.0008621438],"study_design_scores_gemma":[0.00023363916,0.0000132418645,0.6091677,0.0000020996183,4.7023255e-7,3.1730963e-8,0.0018239864,0.0014449405,0.0000011731574,0.38726076,0.000026716747,0.000025206566],"about_ca_topic_score_codex":0.0014114777,"about_ca_topic_score_gemma":0.0008924879,"teacher_disagreement_score":0.4044978,"about_ca_system_score_codex":0.000054812783,"about_ca_system_score_gemma":0.000053883377,"threshold_uncertainty_score":0.35617644},"labels":[],"label_agreement":null},{"id":"W4390009426","doi":"10.1007/978-3-031-41578-4_13","title":"Business Schools and Their Connections with the Labour Market: An Exploratory Analysis of Pakistani Public Universities","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Yorkville University","funders":"","keywords":"Graduation (instrument); Curriculum; Work (physics); Exploratory analysis; Exploratory research; Political science; Economic growth; Public relations; Economics; Sociology; Social science; Engineering","score_opus":0.03411934236021766,"score_gpt":0.2082409520547534,"score_spread":0.17412160969453574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390009426","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21713582,0.001265029,0.008733142,0.005516891,0.0003910389,0.0006086569,0.015592465,0.00024174634,0.7505152],"genre_scores_gemma":[0.6795168,0.0012781038,0.00005362579,0.0002508679,0.000054330663,0.000010376094,0.00020168387,0.00007039682,0.31856385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998788,0.000029846911,0.00045799065,0.00047251696,0.000055321838,0.00019634949],"domain_scores_gemma":[0.9981551,0.00019544999,0.0005621696,0.00066422555,0.00033460508,0.00008846234],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094474276,0.00028476716,0.00076961884,0.00082848,0.00019782837,0.00017908246,0.0002990177,0.00019168772,0.001192625],"category_scores_gemma":[0.000025705172,0.00020929132,0.00014636709,0.00070051523,0.00019896211,0.00033149106,0.00012738812,0.0002463224,0.000012172467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002231131,0.000015462838,0.0019475513,0.000038815702,0.001786457,0.0000033954386,0.0003429135,0.000032765245,2.7471393e-7,0.99552727,0.00020787834,0.000074896925],"study_design_scores_gemma":[0.0013106088,0.00026901174,0.098584995,0.00011603024,0.001187604,0.000005214262,0.03767168,0.005249314,0.0000016451527,0.4930542,0.36018142,0.0023682518],"about_ca_topic_score_codex":0.00074402767,"about_ca_topic_score_gemma":0.004757922,"teacher_disagreement_score":0.50247306,"about_ca_system_score_codex":0.00010658888,"about_ca_system_score_gemma":0.000112616355,"threshold_uncertainty_score":0.9997204},"labels":[],"label_agreement":null},{"id":"W4390283959","doi":"10.2139/ssrn.4676765","title":"Job Ladder and Wealth Dynamics in General Equilibrium","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Dynamics (music); General equilibrium theory; Economics; Mathematical economics; Microeconomics; Sociology","score_opus":0.014080269514513842,"score_gpt":0.23515787156758217,"score_spread":0.2210776020530683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390283959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895049,0.002007989,0.0009885354,0.0025356533,0.00033053008,0.00008987998,0.00005268788,0.00003465412,0.0044551697],"genre_scores_gemma":[0.98744184,0.008549567,0.00006118411,0.00015835222,0.00018119215,0.000004827448,0.000017712991,0.00003028842,0.0035550438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725133,0.000041116637,0.00057183707,0.000289389,0.000051319785,0.0017949785],"domain_scores_gemma":[0.9994563,0.00004226152,0.00021179856,0.00017476964,0.00002302796,0.00009188211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037987542,0.00014256148,0.00030978976,0.0003485624,0.00008583539,0.00009527389,0.00020391514,0.0001004372,0.000032159576],"category_scores_gemma":[0.00009175575,0.00015539133,0.0000736413,0.000503603,0.00003610945,0.00021226086,0.00008560103,0.0010544085,0.00006975885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012821193,0.00001599105,0.19370432,0.000007376139,0.000030068586,0.0000067496253,0.00005101067,0.00006777944,0.000004145801,0.8043243,0.000033074128,0.0017423014],"study_design_scores_gemma":[0.00061273656,0.00007598312,0.055212688,0.000006557007,0.0000025981772,0.000052658146,0.00026901517,0.043805283,4.9195205e-7,0.8989806,0.0007857942,0.00019558931],"about_ca_topic_score_codex":0.0005962244,"about_ca_topic_score_gemma":0.0046446705,"teacher_disagreement_score":0.13849163,"about_ca_system_score_codex":0.0012147437,"about_ca_system_score_gemma":0.0003099318,"threshold_uncertainty_score":0.63366747},"labels":[],"label_agreement":null},{"id":"W4390564985","doi":"10.54254/2754-1169/59/20231119","title":"Analysis of the Main Factors Affecting Employment Rates in Canada","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Economics; Inflation rate; Inflation (cosmology); Demographic economics; Labour economics; Interest rate; Macroeconomics","score_opus":0.016333917120121434,"score_gpt":0.25533362185434627,"score_spread":0.23899970473422483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390564985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819346,0.0015923226,0.000060715032,0.00047408367,0.00036789125,0.00010910449,0.00009670944,0.000003576428,0.019102152],"genre_scores_gemma":[0.99863935,0.0010724781,0.00006285034,0.0001259112,0.0000090974845,0.000004773831,0.000002236903,0.0000036569395,0.000079637175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99881333,0.000022853157,0.0004706843,0.00033562863,0.000031710053,0.0003258156],"domain_scores_gemma":[0.9994759,0.00026955365,0.00008372919,0.00012474543,0.0000027915275,0.000043255357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007684475,0.00009617912,0.00027591296,0.00030247317,0.0000519765,0.00007235648,0.00023290256,0.000019024461,0.000029573122],"category_scores_gemma":[0.000032363314,0.00007676507,0.00005781573,0.00082248356,0.00014068618,0.0002553055,0.00012224457,0.000071556475,5.8484693e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.337585e-7,0.0000052041046,0.49236965,0.000016876636,0.0000233421,8.2354336e-7,0.00003639855,0.0015557541,3.755315e-8,0.5054503,5.5121996e-7,0.0005404095],"study_design_scores_gemma":[0.000075085416,0.000010271981,0.7230736,0.000025718025,0.000018712852,1.2451883e-7,0.00081871514,0.037261505,0.000006890242,0.23683684,0.0017405974,0.00013191691],"about_ca_topic_score_codex":0.23728488,"about_ca_topic_score_gemma":0.7361251,"teacher_disagreement_score":0.4988402,"about_ca_system_score_codex":0.00037211383,"about_ca_system_score_gemma":0.000049174967,"threshold_uncertainty_score":0.7677941},"labels":[],"label_agreement":null},{"id":"W4390752824","doi":"10.2139/ssrn.4691658","title":"Automation and Cross-Occupation Spillovers","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Automation; Computer science; Engineering; Mechanical engineering","score_opus":0.014141615742820803,"score_gpt":0.26011458056726805,"score_spread":0.24597296482444725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390752824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611747,0.016377902,0.012908439,0.0009659832,0.0019502904,0.00020126987,0.00022265966,0.0000746501,0.0061240504],"genre_scores_gemma":[0.9858273,0.011599823,0.00016062801,0.0000697877,0.00042369618,0.00000974038,0.000051618626,0.000043925374,0.0018134246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749565,0.00003107606,0.000787574,0.00049558067,0.00007227028,0.0011178694],"domain_scores_gemma":[0.99893755,0.000029171057,0.00062270695,0.00026787873,0.00006728915,0.0000754064],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0037175147,0.00024669192,0.0003907577,0.0003046449,0.00013568265,0.000641524,0.00023701627,0.00031127644,0.00005357709],"category_scores_gemma":[0.00014273325,0.00026832928,0.00018495118,0.00013543035,0.000049328155,0.00015946137,0.00033237017,0.0031268476,0.000107120126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017580545,0.00002019244,0.020594101,0.00009498057,0.00017906877,0.0000028258048,0.000120250865,0.00019503653,0.0000017935095,0.97310704,0.00003517745,0.005631958],"study_design_scores_gemma":[0.00025253696,0.000053439508,0.01360085,0.00004712487,0.000020598396,0.000045894787,0.000046285062,0.010313235,0.0000014099418,0.9737366,0.001591435,0.00029063065],"about_ca_topic_score_codex":0.0003444005,"about_ca_topic_score_gemma":0.00026907056,"teacher_disagreement_score":0.0246526,"about_ca_system_score_codex":0.0015989707,"about_ca_system_score_gemma":0.0007054448,"threshold_uncertainty_score":0.9999769},"labels":[],"label_agreement":null},{"id":"W4390769892","doi":"10.1108/edi-05-2023-0140","title":"Examining the boundary conditions of tokenism: within-occupation gender wage gaps and female representation in the Canadian labor market","year":2024,"lang":"en","type":"article","venue":"Equality Diversity and Inclusion An International Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tokenism; Wage; Earnings; Male female; Point (geometry); Percentage point; Demographic economics; Occupational segregation; Economics; Labour economics; Psychology; Sociology; Mathematics","score_opus":0.07965040909872736,"score_gpt":0.3058064621408796,"score_spread":0.22615605304215222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390769892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99071944,0.00049121416,0.00032040616,0.0025956912,0.0005745617,0.00009294569,0.00055442523,0.0000059271188,0.004645371],"genre_scores_gemma":[0.9981057,0.00043763523,0.00008978331,0.0011205449,0.00010189209,0.0000015998079,0.000052212155,0.0000040929267,0.000086521955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989189,0.00020645453,0.00039812856,0.00018934305,0.0001767358,0.00011044846],"domain_scores_gemma":[0.99933684,0.00017633491,0.00019052152,0.00012157717,0.00010222794,0.00007248136],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033163591,0.00007751833,0.00012009717,0.00024207782,0.002191368,0.00033212584,0.0003305192,0.00006274251,0.0002439818],"category_scores_gemma":[0.00017668154,0.000061017505,0.000037700796,0.0001604733,0.00012881,0.0006808053,0.0010798533,0.00028192575,0.0000016880491],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049827864,0.000051348637,0.5388157,0.0000222787,0.00007169619,0.0000397947,0.067374706,0.000039106813,0.000011617441,0.39246136,0.00020278798,0.0008597923],"study_design_scores_gemma":[0.00029721996,0.000031720654,0.8281293,0.000032085314,0.000009509617,0.0000395526,0.0036408394,0.005744836,0.000004025216,0.1597638,0.0022118816,0.000095240364],"about_ca_topic_score_codex":0.025554419,"about_ca_topic_score_gemma":0.02099753,"teacher_disagreement_score":0.28931358,"about_ca_system_score_codex":0.00015947178,"about_ca_system_score_gemma":0.000073442156,"threshold_uncertainty_score":0.99910766},"labels":[],"label_agreement":null},{"id":"W4390911163","doi":"10.2139/ssrn.4696324","title":"Rigid Wages and Flexible Contracts","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Flexibility (engineering); Rigidity (electromagnetism); Unemployment; Economics; Labour economics; Sample (material); Efficiency wage; Point (geometry); Mathematics; Macroeconomics; Engineering","score_opus":0.01685995069420041,"score_gpt":0.2393813447761194,"score_spread":0.22252139408191898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390911163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79444665,0.16318706,0.004742202,0.004963925,0.0030232482,0.0003503526,0.0004623299,0.00012964643,0.028694611],"genre_scores_gemma":[0.9401968,0.05279055,0.000119280005,0.00016647851,0.000633227,0.000012781611,0.00002243913,0.000065323366,0.0059931227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964235,0.000042002514,0.000885843,0.00064399786,0.00007462674,0.0019300639],"domain_scores_gemma":[0.9987765,0.00006478389,0.0005756087,0.00037869712,0.00006059007,0.00014383804],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004490367,0.00035132078,0.00069510203,0.00032775244,0.00015085355,0.0005720593,0.00039960048,0.0003680018,0.000077323595],"category_scores_gemma":[0.00014576415,0.0003593174,0.0002569508,0.00013643826,0.000066579385,0.00011057194,0.0005429596,0.0057954155,0.00015128223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002106085,0.000038390288,0.002349134,0.000086438944,0.00041801957,0.000014814839,0.000095180585,0.000037489885,0.0000038554813,0.99145156,0.00010869876,0.0053753266],"study_design_scores_gemma":[0.00033044213,0.00007715158,0.0012671993,0.00007791703,0.000037915477,0.00013957614,0.00008008415,0.00083452574,0.0000044666535,0.9847989,0.011936491,0.00041531285],"about_ca_topic_score_codex":0.0004371462,"about_ca_topic_score_gemma":0.00039576276,"teacher_disagreement_score":0.14575016,"about_ca_system_score_codex":0.0010393664,"about_ca_system_score_gemma":0.000986212,"threshold_uncertainty_score":0.99988586},"labels":[],"label_agreement":null},{"id":"W4390920255","doi":"10.2139/ssrn.4696440","title":"Search and Multiple Jobholding 1","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Offset (computer science); Labour economics; Economics; Microeconomics; Computer science","score_opus":0.026559697527603756,"score_gpt":0.2501327589034609,"score_spread":0.2235730613758571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390920255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407163,0.048171476,0.004084848,0.0016539987,0.0012739435,0.00018438025,0.00021043298,0.000049201186,0.0036553822],"genre_scores_gemma":[0.9692305,0.027991883,0.00016176794,0.00007013701,0.0005664704,0.0000055723012,0.000016851001,0.00006571115,0.0018911341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99657357,0.00004814926,0.00074892625,0.00062215683,0.000078611236,0.0019285628],"domain_scores_gemma":[0.99916244,0.00006966798,0.0002466973,0.00034052483,0.000054314492,0.00012635176],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0057964935,0.0002865868,0.00053481763,0.0003746748,0.00016904951,0.00051104766,0.0003976174,0.0003001445,0.00004880026],"category_scores_gemma":[0.00016003757,0.00030474516,0.00023039398,0.00015576417,0.000055626628,0.00008424027,0.00089956867,0.006687979,0.00010510207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000162775,0.000028432196,0.018453766,0.000120764475,0.0003240184,0.000011630974,0.00020498053,0.00024662117,0.000007232962,0.97629464,0.000024660545,0.0042669605],"study_design_scores_gemma":[0.00028215264,0.0000524932,0.0011459069,0.000072688854,0.00001904712,0.00010420444,0.00018771901,0.012285874,0.000003997344,0.98407143,0.0014254885,0.00034898397],"about_ca_topic_score_codex":0.0007619932,"about_ca_topic_score_gemma":0.0004895331,"teacher_disagreement_score":0.028514134,"about_ca_system_score_codex":0.0012784123,"about_ca_system_score_gemma":0.0008154836,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W4390940620","doi":"10.2139/ssrn.4692295","title":"Manufacturing Investment and Employee Earnings: Evidence from Accelerated Depreciation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Depreciation (economics); Earnings; Labour economics; Economics; Investment (military); Profitability index; Earnings before interest, taxes, depreciation, and amortization; Tax policy; Retained earnings; Monetary economics; Wage; Business; Human capital; Tax reform; Finance; Debt; Capital formation; Public economics; Market economy; Financial capital","score_opus":0.029300259776619327,"score_gpt":0.24472427167311275,"score_spread":0.21542401189649343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390940620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96202236,0.027521446,0.008679567,0.0006585632,0.00037306067,0.00008477905,0.00002462568,0.00004906417,0.0005865444],"genre_scores_gemma":[0.98096156,0.017946329,0.00014717707,0.00013855685,0.00024333346,0.0000059076206,0.00000940561,0.00002466016,0.0005230844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998254,0.00003815862,0.00045044208,0.00034423676,0.000056849087,0.0008563318],"domain_scores_gemma":[0.9994866,0.000109178996,0.0001702774,0.00013745287,0.000021549886,0.000074903925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011944,0.00014125253,0.00021108739,0.00015475714,0.00014897285,0.00040381635,0.00015796554,0.00008134973,0.00009667231],"category_scores_gemma":[0.00013661382,0.00014182988,0.00006940077,0.0001302806,0.000021405418,0.00055270205,0.000052527583,0.0010139131,0.000070867114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055640994,0.000037789323,0.25282162,0.00004347169,0.0005983472,0.0000212738,0.0010827495,0.00015608019,0.00021397012,0.71437234,0.00007823117,0.030518452],"study_design_scores_gemma":[0.00020485585,0.00008369092,0.08702367,0.00008791457,0.000015557052,0.000029937837,0.00009601343,0.0023850484,0.00011269269,0.9073114,0.0024384053,0.00021084058],"about_ca_topic_score_codex":0.0007063136,"about_ca_topic_score_gemma":0.00043081824,"teacher_disagreement_score":0.19293901,"about_ca_system_score_codex":0.000835652,"about_ca_system_score_gemma":0.0002339479,"threshold_uncertainty_score":0.5783655},"labels":[],"label_agreement":null},{"id":"W4390987306","doi":"10.2139/ssrn.4698829","title":"Accumulating Valuable Work Experience: The Importance of Large Firms and Big Cities","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Work experience; Work (physics); Quarter (Canadian coin); Business; Labour economics; Marketing; Demographic economics; Economic geography; Economics; Economic growth; Geography; Engineering","score_opus":0.032177451326298366,"score_gpt":0.275212620223852,"score_spread":0.24303516889755364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390987306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93832153,0.055429902,0.0016914678,0.0008702756,0.0010622945,0.00018587626,0.00016941514,0.000020172904,0.0022490516],"genre_scores_gemma":[0.98545045,0.012550295,0.00007322806,0.00009767344,0.00041848465,0.000022491677,0.0000104374785,0.00004180391,0.0013351667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99688065,0.000053134532,0.0010714583,0.0004586281,0.000105019804,0.0014311356],"domain_scores_gemma":[0.9983187,0.00011790388,0.00097314495,0.00046379224,0.00006881902,0.00005765847],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005800349,0.00026947807,0.000571091,0.00016092176,0.00026581934,0.00026441013,0.0005246682,0.0002169263,0.00006945451],"category_scores_gemma":[0.00023165831,0.00021803583,0.00023580216,0.0002747624,0.00010079611,0.000075302036,0.0007420748,0.003282493,0.0000061003534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018756453,0.000025550271,0.14419043,0.00009551999,0.00024219874,0.0000028894665,0.0017003185,0.00014786681,0.0000011404404,0.85196537,0.000024402669,0.001585548],"study_design_scores_gemma":[0.0002061992,0.00003915475,0.005816159,0.000120425226,0.000022824852,0.000023625307,0.0016497563,0.0015860474,0.0000032356697,0.98910093,0.0011702413,0.00026138918],"about_ca_topic_score_codex":0.00019234976,"about_ca_topic_score_gemma":0.00050771964,"teacher_disagreement_score":0.13837427,"about_ca_system_score_codex":0.0004935298,"about_ca_system_score_gemma":0.00055204163,"threshold_uncertainty_score":0.999017},"labels":[],"label_agreement":null},{"id":"W4390990427","doi":"10.1016/j.jmoneco.2024.01.006","title":"Wage and earnings inequality between and within occupations: The role of labor supply","year":2024,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Comunidad de Madrid","keywords":"Earnings; Economics; Wage; Labour economics; Wage inequality; Inequality; Sorting","score_opus":0.016984736505843687,"score_gpt":0.22007049842018514,"score_spread":0.20308576191434147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390990427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885318,0.008947105,0.00013285519,0.0012061393,0.00023105384,0.00008659632,0.00056409824,0.0000063267503,0.0002940013],"genre_scores_gemma":[0.99560684,0.0033147794,0.0007546581,0.00009212076,0.00016508668,0.0000014059926,0.000009312873,0.000016013777,0.00003978625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844044,0.000045009543,0.0011646814,0.00019164223,0.000027769729,0.00013046022],"domain_scores_gemma":[0.9986137,0.00033024568,0.00074646116,0.00018473518,0.00004468722,0.00008016156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023725412,0.0001257639,0.0004607025,0.00017140318,0.00006350464,0.000114432296,0.00017163565,0.00008266864,0.000032144344],"category_scores_gemma":[0.00012100639,0.00010508212,0.00009480065,0.000112757014,0.000104609404,0.0004013093,0.00007355422,0.00029561334,0.0000042043166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025403151,0.000015167359,0.9010609,0.000042033684,0.00016716524,0.00000245611,0.0009389902,0.00018365584,0.000010856215,0.09429337,0.00001941101,0.0032405965],"study_design_scores_gemma":[0.0002392504,0.000098624376,0.759875,0.000035893936,0.000034408687,0.000016109276,0.00022928676,0.0071645696,0.000036707967,0.22721903,0.0049199867,0.00013110954],"about_ca_topic_score_codex":0.00024156926,"about_ca_topic_score_gemma":0.000036744357,"teacher_disagreement_score":0.14118586,"about_ca_system_score_codex":0.00004164733,"about_ca_system_score_gemma":0.000043906784,"threshold_uncertainty_score":0.42851248},"labels":[],"label_agreement":null},{"id":"W4391139397","doi":"10.3982/te4623","title":"Wages as signals of worker mobility","year":2024,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council; University of Calgary; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Labour economics; Economics; Computer science; Microeconomics","score_opus":0.014948893892035948,"score_gpt":0.2379325880650493,"score_spread":0.22298369417301336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391139397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8746049,0.0012892741,0.0021718005,0.001017927,0.00051576766,0.00015510297,0.00039138156,0.00006644018,0.119787455],"genre_scores_gemma":[0.99828225,0.0005117868,0.00037173065,0.00024566677,0.00010834941,0.000014449133,0.00001504486,0.000035599776,0.0004151234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825186,0.000033707565,0.000899755,0.0004942412,0.000022951554,0.00029748256],"domain_scores_gemma":[0.9988199,0.00040739533,0.00013778392,0.00048806664,0.000027096843,0.000119777396],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017986124,0.00017767906,0.0005130919,0.00012613494,0.000036014342,0.00010931259,0.00029081758,0.00015538972,0.0046063703],"category_scores_gemma":[0.0002522809,0.00018335029,0.00023292545,0.00016398475,0.00049443246,0.00016235656,0.00011467389,0.00020056101,0.00075184007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035653604,0.00007503354,0.0013311029,0.00006205639,0.00007402843,0.0000034555133,0.00013463317,0.000096503965,0.000015194375,0.9961058,0.000036093512,0.002030428],"study_design_scores_gemma":[0.00013356873,0.000058745365,0.00095775386,0.00002549016,0.000009543263,0.000002990215,0.000027999122,0.0115688965,0.00019946236,0.9807162,0.0060844314,0.00021486869],"about_ca_topic_score_codex":0.000052600255,"about_ca_topic_score_gemma":0.0000033314964,"teacher_disagreement_score":0.123677395,"about_ca_system_score_codex":0.00009858386,"about_ca_system_score_gemma":0.000044759523,"threshold_uncertainty_score":0.99630356},"labels":[],"label_agreement":null},{"id":"W4391363004","doi":"10.1080/09645292.2024.2309282","title":"Foundational learning program evaluation and dropouts: are dropouts a heterogeneous group?","year":2024,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics education; Program evaluation; Psychology; Group (periodic table); Medical education; Group dynamic; Political science; Medicine; Social psychology; Public administration","score_opus":0.03286558935510736,"score_gpt":0.2931316857856837,"score_spread":0.26026609643057635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391363004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847827,0.0033259317,0.0010876261,0.0015256356,0.0021546949,0.00069410977,0.00008722405,0.00014033119,0.0062017683],"genre_scores_gemma":[0.9960984,0.00057451654,0.0011991356,0.00021259584,0.0004149242,0.0003533945,0.00035351477,0.00003878275,0.0007547355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860585,0.000041680334,0.00056071935,0.00054926873,0.0000351503,0.00020735989],"domain_scores_gemma":[0.9992738,0.000075848264,0.00026777544,0.00021177951,0.000074771204,0.00009606906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011478958,0.00016379348,0.00023397901,0.00022745533,0.00015644549,0.000576722,0.00011009891,0.00010126784,0.00045163973],"category_scores_gemma":[0.00015350722,0.0002053578,0.00007737713,0.00015304021,0.000056410678,0.00041617794,0.000045259883,0.00017438318,0.00022042163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010994688,0.000253244,0.06975772,0.00010849108,0.000108355154,8.6069355e-7,0.00062834896,0.0008637925,0.0000029865232,0.7470972,0.00016340974,0.1810046],"study_design_scores_gemma":[0.0003186004,0.000088075976,0.031676665,0.000050022572,0.00002702787,0.00002345295,0.0003008863,0.29468203,0.000004120744,0.3976398,0.27472,0.0004692895],"about_ca_topic_score_codex":0.000096372605,"about_ca_topic_score_gemma":0.00008945595,"teacher_disagreement_score":0.34945738,"about_ca_system_score_codex":0.000424484,"about_ca_system_score_gemma":0.0001744692,"threshold_uncertainty_score":0.8374248},"labels":[],"label_agreement":null},{"id":"W4391537718","doi":"10.1177/00207152241228148","title":"Do secondary education systems influence the overeducation risk of university graduates? A cross-national analysis by field of study and social background","year":2024,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Demographic economics; Higher education; Sociology; Political science; Psychology; Economic growth; Economics","score_opus":0.03827511835003877,"score_gpt":0.3521757871507855,"score_spread":0.31390066880074674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391537718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943067,0.001654343,0.001575857,0.00057875214,0.0005762776,0.00008266636,0.000506215,0.0000018841334,0.00071734143],"genre_scores_gemma":[0.99959224,0.00013699665,0.000030083453,0.00003850502,0.00009345577,0.0000013522442,0.000020323194,0.000002629199,0.000084418716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988865,0.00021925202,0.00060226314,0.00013190425,0.00010288783,0.000057175017],"domain_scores_gemma":[0.99749464,0.00069281476,0.0009888988,0.000057322384,0.00074903195,0.000017322958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472227,0.00007157166,0.00032018288,0.0002763512,0.00006233402,0.000058717153,0.0002473488,0.000056459852,0.00004836974],"category_scores_gemma":[0.00009125476,0.00006255836,0.00013309115,0.00018375462,0.00020233874,0.0002498616,0.00004039054,0.00020962542,0.0000014472118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015066077,0.00030728884,0.53125924,0.000022589478,0.0033439696,0.0000010608152,0.010331981,0.00070323946,0.00003471263,0.45301694,0.00061926886,0.00020909202],"study_design_scores_gemma":[0.00046122196,0.00018976103,0.89941573,0.000016168655,0.00013955378,0.0000060216134,0.0070148595,0.0025917324,0.000012023228,0.087973915,0.002080142,0.00009885166],"about_ca_topic_score_codex":0.00043297833,"about_ca_topic_score_gemma":0.00001846927,"teacher_disagreement_score":0.36815652,"about_ca_system_score_codex":0.00013756433,"about_ca_system_score_gemma":0.00019121334,"threshold_uncertainty_score":0.2551056},"labels":[],"label_agreement":null},{"id":"W4391643648","doi":"10.1086/729822","title":"Introduction to a Special Issue in Honor of David Card","year":2024,"lang":"en","type":"article","venue":"Journal of Labor Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Honor; Download; Library science; Research center; Political science; Sociology; Law; Computer science; World Wide Web; Internet privacy","score_opus":0.012756727344687387,"score_gpt":0.23147514228289431,"score_spread":0.21871841493820693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391643648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97979724,0.0006977625,0.00026482894,0.009768097,0.0050455104,0.00010686673,0.0003365267,0.000005991383,0.0039771525],"genre_scores_gemma":[0.98327386,0.0012276805,0.0015311802,0.00024139526,0.012912489,0.0000029688015,0.000005359755,0.000032429292,0.0007726392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980788,0.000020639018,0.00143167,0.00024956805,0.000028017883,0.00019126377],"domain_scores_gemma":[0.9990294,0.00007551196,0.0004895203,0.00022747117,0.00008281521,0.00009525759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551124,0.00012719887,0.00058972667,0.00062273286,0.000016310716,0.00009319901,0.00023824646,0.00009104948,0.0005383397],"category_scores_gemma":[0.0002309111,0.00014109086,0.00016358747,0.000386583,0.000027045508,0.000373191,0.000047384452,0.00024060546,0.00011023875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032167282,0.00022107728,0.036814813,0.0002019054,0.00025402335,0.00004838141,0.0027464,0.005830941,0.00013313464,0.9252186,0.013456407,0.014752642],"study_design_scores_gemma":[0.00050124625,0.00022267461,0.017097179,0.0000541382,0.000013572415,0.000025108533,0.0001498211,0.0011085493,0.00017765115,0.103638425,0.8767655,0.00024614928],"about_ca_topic_score_codex":0.00009118012,"about_ca_topic_score_gemma":0.00015663513,"teacher_disagreement_score":0.8633091,"about_ca_system_score_codex":0.0003481382,"about_ca_system_score_gemma":0.00009680423,"threshold_uncertainty_score":0.5894443},"labels":[],"label_agreement":null},{"id":"W4391728475","doi":"10.1007/978-3-031-17299-1_1317","title":"Hours Required to Meet Basic Needs at Minimum Wage","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Minimum wage; Labour economics; Wage; Economics; Computer science","score_opus":0.050019132778375164,"score_gpt":0.2287196950876321,"score_spread":0.17870056230925693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391728475","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068280017,0.00030380278,0.00037527905,0.0017383865,0.0019717363,0.00049303577,0.0029292167,0.0002591052,0.98510146],"genre_scores_gemma":[0.05395921,0.00040914386,0.000168297,0.0015420526,0.00037485096,0.00003134767,0.00021134672,0.00024540332,0.9430584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99707544,0.0000106166435,0.001265127,0.0009415285,0.00011126021,0.0005960011],"domain_scores_gemma":[0.997719,0.00015737272,0.0005407584,0.0011874995,0.00007171375,0.00032368893],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010656313,0.00056362717,0.0011326566,0.0008865309,0.00013138787,0.0001298987,0.0006011033,0.0006037861,0.0038675375],"category_scores_gemma":[0.00013386653,0.00064134144,0.0004428914,0.00020759855,0.00006583888,0.00010725446,0.00058432086,0.00022152784,0.00888552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032489585,0.000014589475,0.0006665575,0.000036433034,0.00014329034,0.000034340563,0.00011889524,0.000006568771,0.000004259652,0.9711989,0.027100772,0.00064291735],"study_design_scores_gemma":[0.0004309274,0.00010848486,0.0010637837,0.00008633458,0.00002675952,0.000003020172,0.000019524612,0.00018656162,0.000005604004,0.48058906,0.51628435,0.001195615],"about_ca_topic_score_codex":0.00037178944,"about_ca_topic_score_gemma":0.0012317973,"teacher_disagreement_score":0.49060982,"about_ca_system_score_codex":0.00045968016,"about_ca_system_score_gemma":0.000038988568,"threshold_uncertainty_score":0.9996038},"labels":[],"label_agreement":null},{"id":"W4391820525","doi":"10.1002/sd.2913","title":"Impact of employment support programs on the quality of youth employment: Evidence from Senegal's internship program","year":2024,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium pour la recherche économique en Afrique; International Development Research Centre","keywords":"Apprenticeship; Internship; Propensity score matching; Unemployment; Quality (philosophy); Labour economics; Wage; Youth unemployment; Matching (statistics); Demographic economics; Business; Economics; Economic growth; Medicine","score_opus":0.09238727432442814,"score_gpt":0.32674167462859544,"score_spread":0.2343544003041673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391820525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493814,0.00079378317,0.00056015933,0.00033925142,0.00021289873,0.0011881401,0.00023738458,0.00008849149,0.0016417296],"genre_scores_gemma":[0.9972849,0.00008132872,0.0005547125,0.000035151264,0.000036087662,0.00022505343,0.00011625027,0.000037913906,0.001628599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99694246,0.00010896741,0.0015303859,0.0006089392,0.00022078326,0.00058846886],"domain_scores_gemma":[0.9982046,0.00029370052,0.00052254705,0.00064838,0.00021933533,0.00011146038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036295373,0.00030362618,0.0006056718,0.00022170033,0.00009391401,0.00020210922,0.0005171577,0.0001080728,0.000330319],"category_scores_gemma":[0.0003803098,0.00022705166,0.00031086445,0.0006224389,0.00011199432,0.00022520444,0.00027312365,0.00023435391,0.000037681897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030039612,0.0011971126,0.7344492,0.0008223284,0.001039524,0.00004132611,0.017735947,0.00007629799,0.000014736813,0.21758117,0.00019140451,0.026550574],"study_design_scores_gemma":[0.0006651058,0.001454677,0.9242949,0.00090852374,0.0000425559,0.0000010566306,0.0066191135,0.0005844138,0.0006804205,0.054987468,0.008843972,0.0009178123],"about_ca_topic_score_codex":0.0072453013,"about_ca_topic_score_gemma":0.00009964869,"teacher_disagreement_score":0.1898457,"about_ca_system_score_codex":0.0009004887,"about_ca_system_score_gemma":0.0004896842,"threshold_uncertainty_score":0.9993655},"labels":[],"label_agreement":null},{"id":"W4392263547","doi":"10.1257/aeri.20220696","title":"Can Financial Incentives to Firms Improve Apprenticeship Training? Experimental Evidence from Ghana","year":2024,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Apprenticeship; Incentive; Training (meteorology); Economics; Finance; Labour economics; Microeconomics","score_opus":0.043339305601040254,"score_gpt":0.28370572991151566,"score_spread":0.2403664243104754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392263547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8508993,0.13930278,0.000506636,0.002699317,0.0018225263,0.0007013245,0.00071586744,0.000102048056,0.003250209],"genre_scores_gemma":[0.9805783,0.014944525,0.00055946165,0.0028572187,0.00046939385,0.0002029295,0.000056377678,0.000053716332,0.00027808332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99703974,0.00007718264,0.0011927938,0.0011783858,0.000055190285,0.00045670933],"domain_scores_gemma":[0.9983357,0.00021943466,0.00046902016,0.00068304787,0.000023454928,0.00026935144],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005881899,0.00037378987,0.0011027422,0.00018234167,0.00010473203,0.00028754133,0.0005837168,0.00006359307,0.000613326],"category_scores_gemma":[0.00025624642,0.00038319238,0.00028200302,0.00041120418,0.00018241577,0.0004976948,0.00018309047,0.00023175348,0.0011158506],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015076566,0.00037028556,0.012637518,0.0021037254,0.0008285006,0.00013611163,0.020282576,0.000056655164,0.00073599373,0.724292,0.012325558,0.22608031],"study_design_scores_gemma":[0.0009411384,0.0011636256,0.03173841,0.010278507,0.00019884104,0.000013098982,0.0013398544,0.010727623,0.0012453235,0.08956744,0.8483461,0.004440044],"about_ca_topic_score_codex":0.0041343607,"about_ca_topic_score_gemma":0.00039280645,"teacher_disagreement_score":0.8360205,"about_ca_system_score_codex":0.00053510425,"about_ca_system_score_gemma":0.00017718939,"threshold_uncertainty_score":0.999862},"labels":[],"label_agreement":null},{"id":"W4392308175","doi":"10.2139/ssrn.4742752","title":"Experience is Wealth: Does Work Experience in Other Professions Matter to Mutual Fund Managers’ Portfolio Decisions?","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Portfolio; Business; Mutual fund; Work (physics); Fund administration; Target date fund; Manager of managers fund; Investment management; Finance; Investment fund; Actuarial science; Open-end fund; Institutional investor; Corporate governance; Engineering","score_opus":0.04893608522322112,"score_gpt":0.3139019058457939,"score_spread":0.2649658206225728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392308175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97628206,0.00538208,0.004041478,0.0053361934,0.003130014,0.0006149775,0.00020054802,0.000043315533,0.0049693296],"genre_scores_gemma":[0.9768751,0.0041617043,0.00034845265,0.0019931349,0.00040451865,0.00021346641,0.000008725975,0.0001071775,0.015887665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99383074,0.000096999145,0.0017748994,0.0012710436,0.00020724337,0.0028190534],"domain_scores_gemma":[0.99781185,0.00014886039,0.00069187494,0.0009847002,0.000070195776,0.00029253378],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003181953,0.0005353493,0.00086982857,0.000943587,0.00023431052,0.00046665332,0.0012535247,0.00044288806,0.001741095],"category_scores_gemma":[0.00021972532,0.00046322093,0.00034615255,0.0008921302,0.000087255474,0.00020573608,0.0012823386,0.0050062817,0.0009949588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025903614,0.0003530033,0.40561846,0.00010834733,0.00032487407,0.0001068917,0.027056335,0.00016876362,0.0000089813775,0.55678326,0.00209362,0.0071184062],"study_design_scores_gemma":[0.0003251823,0.000058960683,0.018710067,0.00060483057,0.0000128866905,0.000028409539,0.00514228,0.00014622905,0.0000067025126,0.95929754,0.01483776,0.0008291832],"about_ca_topic_score_codex":0.00092593714,"about_ca_topic_score_gemma":0.0013173114,"teacher_disagreement_score":0.40251422,"about_ca_system_score_codex":0.002150986,"about_ca_system_score_gemma":0.0008789077,"threshold_uncertainty_score":0.99978286},"labels":[],"label_agreement":null},{"id":"W4392567567","doi":"10.2139/ssrn.4751744","title":"Do Reforms Aimed at Reducing Time to Graduation Work? Evidence from the Italian Higher Education System","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Graduation (instrument); Work (physics); Medical education; Political science; Medicine; Engineering","score_opus":0.027435956726837133,"score_gpt":0.24975427074636566,"score_spread":0.22231831401952853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392567567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91127104,0.052981943,0.0008447109,0.020590456,0.005883794,0.0007728746,0.0002390345,0.000102902006,0.007313261],"genre_scores_gemma":[0.9678106,0.0022398753,0.00012697553,0.00019345868,0.0018335937,0.00007905725,0.000092520604,0.00007633513,0.027547605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99640375,0.00012365787,0.0011738626,0.00082021474,0.00017103073,0.0013074633],"domain_scores_gemma":[0.99776334,0.00013673634,0.00094551453,0.00087988155,0.00013231741,0.00014223294],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005682639,0.00036468898,0.0005458141,0.00023821059,0.00029630313,0.0006799499,0.0008814988,0.0003008189,0.00031997645],"category_scores_gemma":[0.00018804337,0.0002880872,0.0003166241,0.0004398527,0.00002884543,0.00018148609,0.00068575336,0.0029287636,0.0020894485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019369065,0.00009522091,0.0059984447,0.0002110665,0.0009904639,0.0000054084526,0.0013278183,0.0010566838,0.00004380678,0.9638676,0.004365061,0.021844702],"study_design_scores_gemma":[0.00013490897,0.000060227118,0.0078013786,0.0017766646,0.00008560768,0.000027966802,0.0002068929,0.0007486697,0.0000055941887,0.98323613,0.005388986,0.0005269598],"about_ca_topic_score_codex":0.0019548787,"about_ca_topic_score_gemma":0.00023824377,"teacher_disagreement_score":0.056539554,"about_ca_system_score_codex":0.010397924,"about_ca_system_score_gemma":0.0015361106,"threshold_uncertainty_score":0.99995714},"labels":[],"label_agreement":null},{"id":"W4392973168","doi":"10.1080/09645292.2024.2323126","title":"Grades and labour market earnings in Canada: new evidence from the 2018 National Graduates Survey","year":2024,"lang":"en","type":"article","venue":"Education Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"Government of Ontario","keywords":"Earnings; Economics; Demographic economics; Labour economics; Educational attainment; Accounting; Economic growth","score_opus":0.049665359822930674,"score_gpt":0.2488140766918352,"score_spread":0.1991487168689045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392973168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97864956,0.005996072,0.00005702364,0.012024483,0.0015631961,0.000117594616,0.0007181652,0.000010779529,0.000863154],"genre_scores_gemma":[0.9935447,0.0029734143,0.00020141006,0.0008364075,0.0002674491,0.000015088536,0.00007908902,0.000017033166,0.0020654383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998908,0.00005484199,0.000470894,0.00037569788,0.0000280113,0.00016255026],"domain_scores_gemma":[0.99849063,0.0010675341,0.00015385846,0.00018035763,0.000034354103,0.000073255374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014379204,0.00011936814,0.00018830966,0.000085291766,0.000064039785,0.00025150293,0.0002047024,0.000044694487,0.00039159655],"category_scores_gemma":[0.0007458857,0.00012035161,0.000025103678,0.0001905356,0.000030518113,0.00035547008,0.000048126556,0.0001621708,0.00003889908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068698796,0.000011837422,0.87710357,0.000011813233,0.000023388215,2.4397633e-7,0.00032694853,0.00004811752,3.5843138e-7,0.101863995,0.01887909,0.0017237659],"study_design_scores_gemma":[0.000058869515,0.0000035199273,0.8313792,0.000033900553,0.0000016050337,8.983216e-7,0.000089722475,0.003493054,0.0000011958442,0.13636255,0.028444631,0.00013088877],"about_ca_topic_score_codex":0.93831307,"about_ca_topic_score_gemma":0.8977797,"teacher_disagreement_score":0.045724418,"about_ca_system_score_codex":0.0007951759,"about_ca_system_score_gemma":0.002404397,"threshold_uncertainty_score":0.4907796},"labels":[],"label_agreement":null},{"id":"W4393206307","doi":"10.2139/ssrn.4772565","title":"Life-Cycle Worker Flows and Cross-Country Differences in Aggregate Employment","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University; University of Ottawa","funders":"","keywords":"Aggregate (composite); Cross country; Labour economics; Economics; Business; Demographic economics","score_opus":0.01277603664166535,"score_gpt":0.23702205610777194,"score_spread":0.2242460194661066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393206307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95216924,0.043751713,0.0011663095,0.0009773178,0.00056844135,0.00008258598,0.000037146197,0.000026529828,0.0012207283],"genre_scores_gemma":[0.9790991,0.01933671,0.000029180099,0.00014888152,0.00021103137,0.000007966201,0.0000035537973,0.000024933035,0.0011386704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976867,0.000027993765,0.00059495587,0.0003483943,0.000060241375,0.0012817484],"domain_scores_gemma":[0.9995123,0.000062197665,0.00013615111,0.00014723059,0.000017621307,0.00012451205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024710342,0.00016706636,0.000312723,0.00021746394,0.000112424874,0.00049955485,0.00019255088,0.00009984538,0.000104926694],"category_scores_gemma":[0.0001282177,0.00015602609,0.000079787285,0.00029084485,0.000048083642,0.00032416033,0.0000573925,0.0011765858,0.00004594772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002718121,0.00003985871,0.32684904,0.000016047665,0.000105669045,0.0000138906935,0.00014794251,0.000033663397,0.000002740333,0.6650866,0.000011663522,0.007665658],"study_design_scores_gemma":[0.00043492237,0.00007327261,0.10177291,0.000058736077,0.000005868506,0.0000471538,0.000093532144,0.00935801,7.2767824e-7,0.8852206,0.0027053216,0.00022895791],"about_ca_topic_score_codex":0.00040306145,"about_ca_topic_score_gemma":0.0017467279,"teacher_disagreement_score":0.22507612,"about_ca_system_score_codex":0.0005297534,"about_ca_system_score_gemma":0.00043142206,"threshold_uncertainty_score":0.6362559},"labels":[],"label_agreement":null},{"id":"W4393238242","doi":"10.1016/j.labeco.2024.102532","title":"Programs of study and earnings dynamics","year":2024,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Earnings; Economics; Labour economics; Dynamics (music); Business; Finance; Psychology","score_opus":0.018007878563803315,"score_gpt":0.22275461773056443,"score_spread":0.20474673916676112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393238242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310887,0.0006576063,0.0004833165,0.0003067519,0.0005022898,0.00030338793,0.00033098672,0.00006930566,0.004237471],"genre_scores_gemma":[0.99784154,0.0003833481,0.00043485782,0.00004538711,0.000066852896,0.000021348122,0.000024870611,0.000039364677,0.0011424522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985661,0.000017455093,0.0006960408,0.00046910148,0.000017909395,0.00023339076],"domain_scores_gemma":[0.99930996,0.00006362475,0.00020894136,0.00031357576,0.000026148322,0.00007778147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096085906,0.00016378422,0.0004306915,0.00017193376,0.000049952207,0.00018744587,0.00018081506,0.000089826564,0.000087644745],"category_scores_gemma":[0.00004519383,0.00018786608,0.00008308188,0.00020078199,0.000071398856,0.00023031527,0.00011796995,0.00017040894,0.00005008683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066706184,0.00009002017,0.32746047,0.00007287207,0.0000755748,0.00000361301,0.00045205414,0.000016723816,5.7538256e-7,0.666405,0.0000014238587,0.005414979],"study_design_scores_gemma":[0.0006411986,0.000362765,0.19487286,0.000038055074,0.00002251287,0.000008856941,0.0006789146,0.02579667,0.0000050038666,0.75882095,0.018247742,0.0005044573],"about_ca_topic_score_codex":0.0005841525,"about_ca_topic_score_gemma":0.00036580057,"teacher_disagreement_score":0.13258763,"about_ca_system_score_codex":0.000107501146,"about_ca_system_score_gemma":0.0000252878,"threshold_uncertainty_score":0.7660957},"labels":[],"label_agreement":null},{"id":"W4393356929","doi":"10.1080/13639080.2024.2335464","title":"The effect of fields of study on the waiting time to employment: evidence from the National Graduate Survey of Canada 2005 and 2009/10 cohorts","year":2024,"lang":"en","type":"article","venue":"Journal of Education and Work","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Medical education; Psychology; Sociology; Demographic economics; Public relations; Political science; Medicine; Economics","score_opus":0.04998948076357667,"score_gpt":0.28750352151358,"score_spread":0.23751404075000332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393356929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143094,0.0024415082,0.0000081249955,0.00540364,0.0002984636,0.00012773168,0.000065110136,4.805499e-7,0.00022397506],"genre_scores_gemma":[0.9992906,0.00012992886,0.0000049909645,0.000101003774,0.00006275491,0.0000027838882,0.0000011075518,0.0000032749047,0.00040354778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918836,0.00013566337,0.00044548663,0.00007374445,0.00009740312,0.000059332662],"domain_scores_gemma":[0.9960553,0.0033578773,0.0003455065,0.000087094566,0.0001256051,0.000028625464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042640944,0.00005170049,0.00016684063,0.00003508335,0.00006811237,0.000043099288,0.00011451176,0.00001581285,0.00006251893],"category_scores_gemma":[0.0013782558,0.000027539683,0.000027003014,0.00017065548,0.000023988565,0.00004089879,0.00002071255,0.00010036247,7.6506757e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001823178,0.000100753976,0.94836915,0.000025825124,0.00025754847,4.947283e-7,0.0014699074,0.00017704263,0.0000071031877,0.0024801062,0.041647784,0.0052819788],"study_design_scores_gemma":[0.00007254306,0.00014786099,0.9966683,0.0001957046,0.000012302751,6.476792e-7,0.000113967275,0.00028468293,0.000020699556,0.0015503686,0.0008955328,0.000037403588],"about_ca_topic_score_codex":0.018789902,"about_ca_topic_score_gemma":0.0075731687,"teacher_disagreement_score":0.04829915,"about_ca_system_score_codex":0.00003525831,"about_ca_system_score_gemma":0.00016448382,"threshold_uncertainty_score":0.98774403},"labels":[],"label_agreement":null},{"id":"W4393378425","doi":"10.2139/ssrn.4779851","title":"The Impact of Unions on Wages in the Public Sector: Evidence from Higher Education","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"","keywords":"Public sector; Labour economics; Economics; Business; Demographic economics","score_opus":0.03677921610465944,"score_gpt":0.28992844656992156,"score_spread":0.2531492304652621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393378425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9454248,0.040064655,0.0002279264,0.0111906575,0.0007038353,0.00009814684,0.000046151832,0.0000085021,0.0022353488],"genre_scores_gemma":[0.9843875,0.01455376,0.0000045359375,0.00007071379,0.00026984757,0.000008558434,0.0000051461693,0.0000123238015,0.0006875957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985641,0.00011751671,0.00040708226,0.00016954193,0.00006301361,0.00067874294],"domain_scores_gemma":[0.9989469,0.000530938,0.00017930345,0.00027939526,0.00003354484,0.000029920979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003941669,0.00010119371,0.00014584202,0.00014311392,0.00013475193,0.00028238597,0.0004472545,0.00005165194,0.0001102889],"category_scores_gemma":[0.00017488613,0.000058554615,0.00016017811,0.00041209414,0.000036550606,0.00025180448,0.000020901043,0.0010471296,0.000028450217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012347795,0.00005969165,0.022236332,0.0000027050405,0.000087738656,6.3450386e-7,0.00015036066,0.000025888243,0.000010015958,0.9721458,0.00024510798,0.0050233854],"study_design_scores_gemma":[0.00007207057,0.00012274814,0.11539293,0.00004276327,0.0000042825673,0.00000845056,0.0001745724,0.00041732824,0.0000011433206,0.8796697,0.004019179,0.00007482683],"about_ca_topic_score_codex":0.0018351949,"about_ca_topic_score_gemma":0.0012815178,"teacher_disagreement_score":0.0931566,"about_ca_system_score_codex":0.0009803189,"about_ca_system_score_gemma":0.0011627526,"threshold_uncertainty_score":0.45493153},"labels":[],"label_agreement":null},{"id":"W4393933689","doi":"10.7202/1109869ar","title":"La surqualification des diplômés universitaires québécois : ampleur, évolution et facteurs associés","year":2024,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Sherbrooke","funders":"","keywords":"Magnitude (astronomy); Demography; Geography; Sociology; Physics","score_opus":0.02040246179565319,"score_gpt":0.24603396217130383,"score_spread":0.22563150037565063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393933689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82683325,0.13108113,0.016033186,0.0063957986,0.0028684698,0.00035500282,0.0034590492,0.00032484139,0.012649249],"genre_scores_gemma":[0.9374575,0.055195868,0.0007917832,0.0005564381,0.00023260036,0.000034082397,0.00038596246,0.00012864007,0.005217145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959072,0.0006832646,0.0010547178,0.0011472041,0.00016968715,0.0010379666],"domain_scores_gemma":[0.99699146,0.0012508546,0.0004635991,0.00074296223,0.00017372331,0.00037738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037792996,0.0005712416,0.000721868,0.0012605068,0.00048289995,0.00065121235,0.00056321314,0.0010141482,0.0002955917],"category_scores_gemma":[0.00074218697,0.0007628996,0.0007968166,0.0025540849,0.0018226664,0.001089768,0.00009598788,0.0012147217,0.00016690728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040731153,0.00021130315,0.1239274,0.00057916564,0.0006097715,0.00012882931,0.009242686,0.000099136356,0.00003672746,0.8238493,0.0034257455,0.03784916],"study_design_scores_gemma":[0.00055697997,0.00013809199,0.27567554,0.00039983462,0.00021845866,0.000044704346,0.0033520234,0.0028810094,0.000015574602,0.19977248,0.5158549,0.0010904444],"about_ca_topic_score_codex":0.15205783,"about_ca_topic_score_gemma":0.10600789,"teacher_disagreement_score":0.62407684,"about_ca_system_score_codex":0.001976,"about_ca_system_score_gemma":0.00058820285,"threshold_uncertainty_score":0.9994822},"labels":[],"label_agreement":null},{"id":"W4394018376","doi":"10.1108/edi-10-2023-0366","title":"Cultural variation in hiring people with disabilities: a theory and preliminary test","year":2024,"lang":"en","type":"article","venue":"Equality Diversity and Inclusion An International Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Variation (astronomy); Test (biology); Psychology; Social psychology","score_opus":0.0261416157409321,"score_gpt":0.26150173362365264,"score_spread":0.23536011788272054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394018376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261314,0.00033239147,0.0040820637,0.0012569813,0.0003449433,0.000065570275,0.0001490134,0.000020272497,0.0011356503],"genre_scores_gemma":[0.9987422,0.00050585944,0.00019505869,0.00024608272,0.0001228766,0.0000013487827,0.000014414345,0.0000057361676,0.00016642825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990933,0.00009096245,0.00031056817,0.00025932287,0.00012351792,0.00012235425],"domain_scores_gemma":[0.99933606,0.0003249055,0.000107330474,0.00007818085,0.00006749294,0.00008600971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024450242,0.00009914574,0.00015701205,0.00017120529,0.00096329965,0.00026827393,0.00021488701,0.000059019425,0.00016433989],"category_scores_gemma":[0.0003451538,0.000088514375,0.000035370547,0.000101780584,0.00007120132,0.0012488936,0.002851419,0.00023718484,0.0000033517945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002106072,0.00011897533,0.48694128,0.00003294613,0.000041122687,0.000020227897,0.058691643,0.000025676016,0.000009717777,0.4524199,0.0000075933244,0.0014802953],"study_design_scores_gemma":[0.0005880073,0.00017740867,0.6137914,0.00009510688,0.0000077942605,0.000073377014,0.0025759824,0.009164896,0.0000012225922,0.37270778,0.0006338143,0.00018319087],"about_ca_topic_score_codex":0.000760707,"about_ca_topic_score_gemma":0.00021869574,"teacher_disagreement_score":0.12685013,"about_ca_system_score_codex":0.00019750024,"about_ca_system_score_gemma":0.000017443686,"threshold_uncertainty_score":0.74090195},"labels":[],"label_agreement":null},{"id":"W4394580088","doi":"10.1016/j.jedc.2024.104858","title":"Gender specific distortions, entrepreneurship and misallocation","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Entrepreneurship; Productivity; Margin (machine learning); Economics; Aggregate (composite); Distribution (mathematics); Aggregate data; Market share; Labour economics; Demographic economics; Macroeconomics","score_opus":0.01862700112797999,"score_gpt":0.22068702469517457,"score_spread":0.20206002356719457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394580088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255784,0.030659245,0.035376735,0.0025578286,0.0018986984,0.00014009715,0.00033634307,0.000018353736,0.0034342874],"genre_scores_gemma":[0.9953304,0.0037756194,0.00015573205,0.000105381565,0.00033714372,0.0000027632223,0.0000074250606,0.000019140396,0.00026640392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99875087,0.000021140393,0.0007963467,0.00024948036,0.000025104764,0.00015707011],"domain_scores_gemma":[0.9992412,0.00012662385,0.00034938366,0.00014320151,0.000025766936,0.00011383156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090177846,0.00013049238,0.00036394087,0.00020613277,0.00005616763,0.0002733155,0.0001040074,0.000074599084,0.000073113435],"category_scores_gemma":[0.000029708433,0.00013283115,0.000113075504,0.0000476101,0.00005517247,0.00025941603,0.00002236581,0.00017228443,0.000018133875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037140468,0.000023718425,0.047014855,0.000040665698,0.00013917606,0.000012457109,0.00011299685,0.00011373766,0.00001244714,0.9448153,0.00009790965,0.007579608],"study_design_scores_gemma":[0.0017271308,0.00013522209,0.078956105,0.000054283482,0.00006380005,0.00018117693,0.0001236499,0.3136715,0.0000019402291,0.5748909,0.029773587,0.00042071464],"about_ca_topic_score_codex":0.000028519209,"about_ca_topic_score_gemma":0.000029026718,"teacher_disagreement_score":0.3699244,"about_ca_system_score_codex":0.00021533774,"about_ca_system_score_gemma":0.00003950752,"threshold_uncertainty_score":0.5416697},"labels":[],"label_agreement":null},{"id":"W4394677790","doi":"10.2139/ssrn.4788236","title":"Heterogeneous Effects of Capital-Embodied Innovation on Labor Market","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Embodied cognition; Labour economics; Business; Capital (architecture); Economics; Geography; Computer science","score_opus":0.008072896676419809,"score_gpt":0.21866435301137846,"score_spread":0.21059145633495865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394677790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97931474,0.009395321,0.0034253418,0.00050983124,0.0009843652,0.00014288633,0.000066562934,0.00003525065,0.006125696],"genre_scores_gemma":[0.99414665,0.0036730787,0.000034628778,0.00015053232,0.00019656298,0.0000072683324,0.000008687912,0.00003342286,0.0017491499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980093,0.00004040215,0.0006612452,0.00026896785,0.00007368786,0.00094636803],"domain_scores_gemma":[0.9992833,0.00012560055,0.00027303383,0.00020516035,0.000075003765,0.000037886326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022320691,0.000156899,0.00030279582,0.0004353982,0.00006950721,0.000088741974,0.00019693423,0.000096588825,0.00009449991],"category_scores_gemma":[0.00022034002,0.00015511333,0.00012578732,0.0005873051,0.000028631623,0.00014454895,0.00002674747,0.0008466772,0.00006177653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040817304,0.00007414198,0.0016500567,0.00008017628,0.00018054973,0.000013283086,0.00007827603,0.000029689216,0.000071472794,0.99215984,0.00006300196,0.005558712],"study_design_scores_gemma":[0.00038581248,0.00044734208,0.0018814865,0.00006135817,0.000011741262,0.00005168493,0.000025501971,0.0012078218,0.00020640915,0.99239933,0.0031294061,0.00019207966],"about_ca_topic_score_codex":0.0000479784,"about_ca_topic_score_gemma":0.00005232998,"teacher_disagreement_score":0.014831923,"about_ca_system_score_codex":0.0006294472,"about_ca_system_score_gemma":0.00030221583,"threshold_uncertainty_score":0.63253385},"labels":[],"label_agreement":null},{"id":"W4394689873","doi":"10.1111/labr.12269","title":"Firm‐size wage‐gaps and hierarchy: Evidence from Canada","year":2024,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Hierarchy; Wage; Economics; Labour economics; Market economy","score_opus":0.019700627301905593,"score_gpt":0.22000545444031303,"score_spread":0.20030482713840744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394689873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635526,0.027251603,0.00018053043,0.003950624,0.0010065627,0.00008400891,0.0016147476,0.000049027796,0.0023102823],"genre_scores_gemma":[0.9929102,0.0019847988,0.00045788314,0.00076634274,0.0001952103,0.000010273757,0.000012143377,0.000022673697,0.0036404931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988584,0.000021410144,0.00035963656,0.0004571227,0.00005124221,0.00025219502],"domain_scores_gemma":[0.99899596,0.00050004036,0.00006884574,0.00030034056,0.000021564421,0.0001132347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450306,0.00013775592,0.00025881143,0.000045538538,0.00007440348,0.00021692029,0.00018376324,0.00006893483,0.00082157727],"category_scores_gemma":[0.00039205357,0.0001446797,0.000041902946,0.00022598125,0.00003158416,0.00022721745,0.00009436758,0.0001907572,0.00006594672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021828697,0.0000219281,0.21812475,0.000205043,0.00013321143,0.0002116956,0.00057606294,0.000015122044,0.00009932998,0.7713752,0.0033740446,0.0058417865],"study_design_scores_gemma":[0.00019003853,0.000023138104,0.4826705,0.00016411259,0.000008520184,0.0000035134385,0.000037590722,0.0033495205,0.00003981456,0.3000132,0.21310486,0.0003951996],"about_ca_topic_score_codex":0.72735924,"about_ca_topic_score_gemma":0.2927023,"teacher_disagreement_score":0.471362,"about_ca_system_score_codex":0.0001493818,"about_ca_system_score_gemma":0.0001305419,"threshold_uncertainty_score":0.8995695},"labels":[],"label_agreement":null},{"id":"W4394803638","doi":"10.1920/wp/ifs.2024.1324","title":"Labour market inequality and the changing life cycle profile of male and female wages","year":2024,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Economics; Wage; Inequality; Labour economics; Cohort; Distribution (mathematics); Quarter (Canadian coin); Quantile; Construct (python library); Demographic economics; Cohort effect; Econometrics; Medicine","score_opus":0.03250165099997728,"score_gpt":0.2595696316475458,"score_spread":0.22706798064756853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394803638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57125705,0.025227237,0.00022323368,0.0013184212,0.0008959988,0.0006425703,0.0036157793,0.000049828694,0.3967699],"genre_scores_gemma":[0.9265666,0.011384608,0.00023774791,0.00020984307,0.00021380254,0.00006539486,0.000046330275,0.000055491957,0.0612202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975893,0.000082693245,0.0011754129,0.00066655985,0.00013067469,0.00035539243],"domain_scores_gemma":[0.99814755,0.0003244112,0.00072890933,0.00055888685,0.00013166646,0.00010859049],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007482483,0.0003201892,0.0011408058,0.0003009124,0.00009880158,0.00018283448,0.00021968833,0.00029384618,0.0016157799],"category_scores_gemma":[0.0009618356,0.0002433169,0.00017486342,0.00034231588,0.00024562547,0.00010815023,0.0005271392,0.00038682387,0.000019568972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008795592,0.000066759996,0.06393178,0.004962478,0.0005356825,0.000021143207,0.0008399479,0.0000023190587,0.0000012821695,0.923941,0.0028874963,0.00272212],"study_design_scores_gemma":[0.0041394588,0.00018377544,0.18640308,0.001052505,0.00036667433,0.00014587349,0.002205922,0.017443106,0.000033797787,0.5482498,0.2368705,0.0029055506],"about_ca_topic_score_codex":0.002722636,"about_ca_topic_score_gemma":0.00013988513,"teacher_disagreement_score":0.3756913,"about_ca_system_score_codex":0.0000694232,"about_ca_system_score_gemma":0.00013602538,"threshold_uncertainty_score":0.9992969},"labels":[],"label_agreement":null},{"id":"W4394936098","doi":"10.1016/j.jmoneco.2024.103591","title":"A model of risk sharing in a dual labor market","year":2024,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Dual (grammatical number); Matching (statistics); Economics; Quality (philosophy); Labour economics; Microeconomics","score_opus":0.029375918266678687,"score_gpt":0.21734882475137732,"score_spread":0.18797290648469864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394936098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898881,0.0043084533,0.0009832899,0.00033166385,0.00058905064,0.000066800625,0.0008466345,0.0000074148875,0.002978647],"genre_scores_gemma":[0.9912395,0.0057051,0.0026420348,0.00006853227,0.00013964473,0.0000015138612,0.0000042527013,0.000027903117,0.00017152744],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977976,0.00002122816,0.001670648,0.00026501418,0.00002954366,0.0002159648],"domain_scores_gemma":[0.998656,0.00015677723,0.00080574845,0.00025919251,0.00003804376,0.000084277584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025272854,0.00015017996,0.0006302092,0.00053843705,0.000020797625,0.00007520814,0.00023307237,0.000107771404,0.00015475122],"category_scores_gemma":[0.00014555552,0.00016431928,0.00024607097,0.00019273991,0.000035766545,0.000496734,0.000082294835,0.00039608084,0.0000121532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031431418,0.00022649874,0.47910383,0.00021544678,0.00042497707,0.00010704197,0.0013760909,0.16986196,0.00002801556,0.34470853,0.0003485523,0.0032847323],"study_design_scores_gemma":[0.00039027183,0.000041671465,0.034978915,0.000053670687,0.00001391815,0.000017313629,0.000036306512,0.60542023,0.000006554151,0.35840783,0.0004910564,0.0001422631],"about_ca_topic_score_codex":0.00021778957,"about_ca_topic_score_gemma":0.00014912718,"teacher_disagreement_score":0.4441249,"about_ca_system_score_codex":0.00017118112,"about_ca_system_score_gemma":0.00007507904,"threshold_uncertainty_score":0.6700746},"labels":[],"label_agreement":null},{"id":"W4394957536","doi":"10.1111/caje.12709","title":"Unemployment volatility in a generalized staggered Nash wage bargaining framework","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Wage bargaining; Volatility (finance); Wage; Bargaining problem; Econometrics; Real wages; Efficiency wage; Labour economics; Microeconomics; Macroeconomics","score_opus":0.13032631034231473,"score_gpt":0.21034593399673318,"score_spread":0.08001962365441845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394957536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98668766,0.0035323724,0.0007209227,0.0020921528,0.0028281393,0.0002835234,0.0010538825,0.000016856264,0.0027845087],"genre_scores_gemma":[0.99643844,0.00032683116,0.0015369857,0.00062065484,0.00054237404,0.00002157386,0.000028157188,0.00008947746,0.00039551998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960314,0.000079952864,0.0021984149,0.0006747175,0.0000030623999,0.0010124476],"domain_scores_gemma":[0.9970283,0.00028713685,0.00066732935,0.00057396485,0.00009215245,0.0013511297],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029210462,0.00038308304,0.0010984889,0.0014377179,0.00012083445,0.0004564637,0.00065760664,0.0003474415,0.0009825157],"category_scores_gemma":[0.00056003704,0.0004959442,0.00038357306,0.00041871463,0.00012571094,0.0006345568,0.00004101514,0.0008083369,0.000055243585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038926315,0.000015940452,0.05512316,0.00005638549,0.00017825268,0.0003448012,0.001514306,0.002097944,0.000002109808,0.939171,0.00012663574,0.0013304901],"study_design_scores_gemma":[0.0005679269,0.0001361569,0.0045818784,0.00024988086,0.00001657424,0.00007722228,0.00015369379,0.03420247,0.000009279318,0.9335836,0.025865799,0.0005555055],"about_ca_topic_score_codex":0.16131197,"about_ca_topic_score_gemma":0.88194686,"teacher_disagreement_score":0.7206349,"about_ca_system_score_codex":0.0039624562,"about_ca_system_score_gemma":0.0015055422,"threshold_uncertainty_score":0.99993074},"labels":[],"label_agreement":null},{"id":"W4395680879","doi":"10.2139/ssrn.4805544","title":"Do FemaleOwned Employment Agencies Mitigate Discrimination and Expand Opportunity for Women?","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Labour economics; Demographic economics; Economics","score_opus":0.036157331583965224,"score_gpt":0.2614231692768572,"score_spread":0.225265837692892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395680879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716007,0.010395026,0.014376084,0.0013501259,0.0004354897,0.00019246388,0.000137753,0.00003134364,0.0014810241],"genre_scores_gemma":[0.9861338,0.009504929,0.00006845156,0.00009247035,0.00017026659,0.00004519304,0.000013584704,0.00002587556,0.00394543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799335,0.00002759679,0.000468097,0.0002971224,0.000050543236,0.001163304],"domain_scores_gemma":[0.999498,0.00007086177,0.00011678225,0.00013490913,0.00004179314,0.0001376695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039134873,0.0001476164,0.00024742584,0.00017962395,0.00020124049,0.00033279817,0.00013181054,0.0000664722,0.00006525736],"category_scores_gemma":[0.00014210302,0.00013985517,0.000099956866,0.00012852762,0.000042337168,0.0003134359,0.000036621022,0.00047959876,0.000008068738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028197344,0.000030877574,0.0038214594,0.000064790984,0.00015005188,0.0000034519076,0.0012452137,0.0000034041007,0.000039379636,0.9813709,0.000030910476,0.01321131],"study_design_scores_gemma":[0.0003657935,0.00024236353,0.0030055102,0.000023314386,0.000009711058,0.000044272536,0.0020521132,0.0011518107,0.000010456616,0.9851947,0.007698074,0.00020192098],"about_ca_topic_score_codex":0.0000380601,"about_ca_topic_score_gemma":0.00014223978,"teacher_disagreement_score":0.01453311,"about_ca_system_score_codex":0.0011373385,"about_ca_system_score_gemma":0.00046422257,"threshold_uncertainty_score":0.57031286},"labels":[],"label_agreement":null},{"id":"W4396523287","doi":"10.2139/ssrn.4810660","title":"Signaling Worker Quality in a Developing Country: Lessons from a Certification Program","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Certification; Certificate; Earnings; Quality (philosophy); Business; Regression discontinuity design; Computer science; Accounting; Economics; Statistics; Management; Mathematics","score_opus":0.04298393727083175,"score_gpt":0.3030263119054012,"score_spread":0.2600423746345694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396523287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92258894,0.016217275,0.05311551,0.0060272366,0.00056667335,0.00023167917,0.00009426128,0.000085904816,0.0010725183],"genre_scores_gemma":[0.99455905,0.0036796178,0.0010532292,0.00011733032,0.00021979293,0.000031533054,0.00004094388,0.000030659387,0.00026781985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972746,0.000077200646,0.00088516093,0.00041267223,0.00007489552,0.0012754913],"domain_scores_gemma":[0.9993454,0.00012467285,0.00024382629,0.00019334379,0.00003887346,0.000053891086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051371385,0.0001596369,0.0003129735,0.00022637735,0.000115088595,0.0003841485,0.00024488984,0.00012404397,0.000063783926],"category_scores_gemma":[0.00014204349,0.00016769367,0.00010420841,0.00063151814,0.000027655962,0.00030260332,0.000033590957,0.0013184508,0.00007782213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022977158,0.00005719911,0.015528677,0.000014736724,0.00010573462,0.0000050736985,0.00023530383,0.000039076393,0.00003459044,0.9571413,0.0000084521125,0.026806872],"study_design_scores_gemma":[0.0002680367,0.000029787987,0.016681323,0.00009406782,0.000007019957,0.000010523088,0.00028555054,0.004350533,0.000008327375,0.96448296,0.013521904,0.00025995704],"about_ca_topic_score_codex":0.0013986848,"about_ca_topic_score_gemma":0.0035683473,"teacher_disagreement_score":0.071970135,"about_ca_system_score_codex":0.0019283791,"about_ca_system_score_gemma":0.00086355244,"threshold_uncertainty_score":0.6838349},"labels":[],"label_agreement":null},{"id":"W4396564989","doi":"10.59350/wwb59-rx091","title":"No, Productivity Does Not Explain Income","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Productivity; Economics; Agricultural economics; Natural resource economics; Macroeconomics","score_opus":0.02732752048142924,"score_gpt":0.23269614265188024,"score_spread":0.205368622170451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396564989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7732581,0.00026598413,0.0057269945,0.0017850366,0.008936782,0.00097596657,0.0028755404,0.00018543629,0.20599018],"genre_scores_gemma":[0.9510314,0.00021950618,0.0015643868,0.0003531522,0.0006052435,0.000079712474,0.00012140525,0.00006119181,0.045963995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99695724,0.00005691449,0.0010544043,0.0014050745,0.000079165955,0.00044720236],"domain_scores_gemma":[0.99705106,0.0001125682,0.0007815045,0.0018215473,0.00012581974,0.000107525084],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022710524,0.00042902952,0.0010581976,0.00024931913,0.00007391114,0.00024559197,0.0007127926,0.00047726597,0.0014346433],"category_scores_gemma":[0.00050934387,0.0003789787,0.00030996674,0.00013363724,0.00006334335,0.0002056359,0.0013604268,0.00080818945,0.002243285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063422725,0.00023704435,0.22172157,0.0008359033,0.00019471826,0.0000069701114,0.00014160297,0.00033987226,0.000025153102,0.7754034,0.00042679405,0.0006035401],"study_design_scores_gemma":[0.0007352718,0.00006928206,0.10336007,0.0001109003,0.000018286006,0.0000018109292,0.00001899779,0.011947286,0.00024501325,0.80309606,0.07839788,0.0019991565],"about_ca_topic_score_codex":0.0019130721,"about_ca_topic_score_gemma":0.00018223918,"teacher_disagreement_score":0.17777334,"about_ca_system_score_codex":0.0002490624,"about_ca_system_score_gemma":0.000074837495,"threshold_uncertainty_score":0.9998662},"labels":[],"label_agreement":null},{"id":"W4396875070","doi":"10.1920/wp.ifs.2024.1324","title":"Labour market inequality and the changing life cycle profile of male and female wages","year":2024,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Economics; Wage; Inequality; Labour economics; Cohort; Distribution (mathematics); Quarter (Canadian coin); Quantile; Construct (python library); Demographic economics; Cohort effect; Econometrics; Medicine","score_opus":0.03250165099997728,"score_gpt":0.2595696316475458,"score_spread":0.22706798064756853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396875070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57125705,0.025227237,0.00022323368,0.0013184212,0.0008959988,0.0006425703,0.0036157793,0.000049828694,0.3967699],"genre_scores_gemma":[0.9265666,0.011384608,0.00023774791,0.00020984307,0.00021380254,0.00006539486,0.000046330275,0.000055491957,0.0612202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975893,0.000082693245,0.0011754129,0.00066655985,0.00013067469,0.00035539243],"domain_scores_gemma":[0.99814755,0.0003244112,0.00072890933,0.00055888685,0.00013166646,0.00010859049],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007482483,0.0003201892,0.0011408058,0.0003009124,0.00009880158,0.00018283448,0.00021968833,0.00029384618,0.0016157799],"category_scores_gemma":[0.0009618356,0.0002433169,0.00017486342,0.00034231588,0.00024562547,0.00010815023,0.0005271392,0.00038682387,0.000019568972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008795592,0.000066759996,0.06393178,0.004962478,0.0005356825,0.000021143207,0.0008399479,0.0000023190587,0.0000012821695,0.923941,0.0028874963,0.00272212],"study_design_scores_gemma":[0.0041394588,0.00018377544,0.18640308,0.001052505,0.00036667433,0.00014587349,0.002205922,0.017443106,0.000033797787,0.5482498,0.2368705,0.0029055506],"about_ca_topic_score_codex":0.002722636,"about_ca_topic_score_gemma":0.00013988513,"teacher_disagreement_score":0.3756913,"about_ca_system_score_codex":0.0000694232,"about_ca_system_score_gemma":0.00013602538,"threshold_uncertainty_score":0.9992969},"labels":[],"label_agreement":null},{"id":"W4398281532","doi":"10.7910/dvn/i8qmvs","title":"Replication Data for: Life after Work: The Impact of Basic Income on Nonemployment Activities","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Western University","funders":"","keywords":"Replication (statistics); Work (physics); Economics; Business; Engineering; Statistics; Mathematics","score_opus":0.054897099528526935,"score_gpt":0.28667559159639405,"score_spread":0.2317784920678671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398281532","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008121924,0.000027721075,0.00019891397,0.00004589928,0.00044510385,0.0005393457,0.99050856,0.000011974755,0.00010058662],"genre_scores_gemma":[0.014272653,0.0009040702,0.0000984899,0.0002808677,0.00023971083,0.00015245457,0.983878,0.000034825523,0.00013892287],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759996,0.00007252592,0.00087591977,0.0010311254,0.000101815334,0.00031866497],"domain_scores_gemma":[0.98946124,0.00037564078,0.0009657464,0.009040425,0.00005877994,0.00009815371],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018412111,0.0003332989,0.00072537997,0.00018010293,0.00009621795,0.00016374253,0.0015997636,0.00023147557,0.004252446],"category_scores_gemma":[0.0012287034,0.00027577407,0.00027285444,0.00026542714,0.00009184578,0.00032832025,0.0010548311,0.0003256748,0.0014489569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027751696,0.00020774524,0.0014873144,0.00014314751,0.00035883466,0.0000044595668,0.000016624688,0.0000295171,3.59341e-7,0.0011449397,0.99615633,0.0001732215],"study_design_scores_gemma":[0.00038385976,0.00007852883,0.007891484,0.00009524191,0.000052086696,8.662453e-7,0.000015720925,0.00022065673,0.0000012960163,0.0009187582,0.9900326,0.00030888576],"about_ca_topic_score_codex":0.001486391,"about_ca_topic_score_gemma":0.00016625012,"teacher_disagreement_score":0.008138694,"about_ca_system_score_codex":0.00022265519,"about_ca_system_score_gemma":0.00016684475,"threshold_uncertainty_score":0.9999694},"labels":[],"label_agreement":null},{"id":"W4398468846","doi":"10.7910/dvn/lujkx9","title":"PROSPERED Dataset: Unemployment Benefits","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Unemployment; Economics; Computer science; Macroeconomics","score_opus":0.03770144886217395,"score_gpt":0.23324206740177486,"score_spread":0.19554061853960092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398468846","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004602427,0.000026349739,0.00004890825,0.00008347464,0.0011880231,0.000539955,0.99766326,0.000058002162,0.00034600103],"genre_scores_gemma":[0.00007780446,0.0018976743,0.00023950267,0.0019491222,0.00041902438,0.0000657619,0.9951335,0.00005915272,0.00015843856],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671686,0.000042687047,0.0012129062,0.0013217047,0.00014373436,0.00056209497],"domain_scores_gemma":[0.99645275,0.000059651975,0.0008421845,0.0022741263,0.00004288858,0.0003284283],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006810101,0.0005558122,0.0010202524,0.00021441941,0.00014438033,0.00029487204,0.001403654,0.00040082438,0.022364052],"category_scores_gemma":[0.00039533287,0.00064434914,0.00019483095,0.00032401472,0.00008599644,0.00035694876,0.0010250566,0.0005964055,0.2933103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004565041,0.00016028354,0.00015469479,0.00020512218,0.0001702033,0.00007584772,0.000012600951,0.000012277316,3.4693488e-7,0.021517184,0.9775417,0.000104108316],"study_design_scores_gemma":[0.0006726217,0.00007245137,0.00014978492,0.00004716455,0.000051690404,0.0000044559238,0.000006936132,0.00018422562,0.0000014130071,0.0022987602,0.99574393,0.0007665804],"about_ca_topic_score_codex":0.001160067,"about_ca_topic_score_gemma":0.00025389052,"teacher_disagreement_score":0.27094626,"about_ca_system_score_codex":0.00020519167,"about_ca_system_score_gemma":0.00007826476,"threshold_uncertainty_score":0.99960077},"labels":[],"label_agreement":null},{"id":"W4398612753","doi":"10.7910/dvn/6pojbi","title":"PROSPERED Dataset: Unemployment Benefits","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Unemployment; Economics; Computer science; Macroeconomics","score_opus":0.041540376703170886,"score_gpt":0.244980107505404,"score_spread":0.2034397308022331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398612753","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010847627,0.00002183567,0.000020947291,0.000043118638,0.002210897,0.00054553617,0.99669737,0.00010677871,0.00024505565],"genre_scores_gemma":[0.000021842807,0.0026680538,0.00010768109,0.0006201382,0.0003705626,0.00010471289,0.99516827,0.0000853001,0.000853445],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657804,0.000041009807,0.0012415099,0.0012998214,0.00015685466,0.0006827918],"domain_scores_gemma":[0.9959337,0.00009933417,0.0007961949,0.002880415,0.000049466784,0.00024089741],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012724278,0.000545171,0.00095611945,0.00040342312,0.00017230486,0.00029581742,0.0014025191,0.00045680095,0.010366484],"category_scores_gemma":[0.0004429805,0.00063063484,0.00019498497,0.00046161137,0.000089742316,0.00034109806,0.0010958911,0.00053207006,0.5401395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026975644,0.00015078767,0.00017075916,0.00018806111,0.00017495255,0.00007995271,0.000007746608,0.00002343789,1.8149156e-7,0.018569395,0.98051816,0.00008957058],"study_design_scores_gemma":[0.0006010466,0.000049149767,0.0004112817,0.00006920938,0.000044421206,0.0000037750353,0.000008370518,0.00017033404,6.4468094e-7,0.0039190724,0.9939661,0.00075658486],"about_ca_topic_score_codex":0.004481853,"about_ca_topic_score_gemma":0.0011266752,"teacher_disagreement_score":0.529773,"about_ca_system_score_codex":0.0002472157,"about_ca_system_score_gemma":0.00007080539,"threshold_uncertainty_score":0.9996145},"labels":[],"label_agreement":null},{"id":"W4398991228","doi":"10.7910/dvn/xz4k5i","title":"PROSPERED Data manual: Minimum wage policy dataset","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Minimum wage; Wage; Economics; Labour economics","score_opus":0.04677292052380628,"score_gpt":0.28358744908459477,"score_spread":0.2368145285607885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398991228","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009011259,0.000015063806,0.00006124355,0.000083657666,0.0016805173,0.00062997505,0.99649924,0.00006868544,0.0008715278],"genre_scores_gemma":[0.000055677843,0.0016511243,0.00055893476,0.001628364,0.0019179486,0.000037854858,0.9932686,0.00009028429,0.0007911839],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947788,0.00009652507,0.0016431054,0.0023252063,0.00019801213,0.00095831277],"domain_scores_gemma":[0.98663235,0.0001198792,0.0012698522,0.011538266,0.00007824375,0.00036139408],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023726004,0.0007646579,0.0012750841,0.0006500425,0.00025175768,0.0005439353,0.0054916264,0.00067206414,0.027370347],"category_scores_gemma":[0.0016211263,0.0008651933,0.00015319983,0.0005573612,0.00032550955,0.0011529056,0.0050600143,0.0006861443,0.16570096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066173794,0.00024879127,0.0000859383,0.00022506416,0.00023508495,0.00010443316,0.000014043527,4.0352018e-7,6.5947063e-7,0.0060537984,0.992892,0.00007357872],"study_design_scores_gemma":[0.00082494563,0.00007038371,0.00015897972,0.00005830515,0.00007260856,0.000014332684,0.000011180715,0.00032509584,7.765533e-7,0.004240517,0.99319255,0.0010303281],"about_ca_topic_score_codex":0.008651954,"about_ca_topic_score_gemma":0.0012989319,"teacher_disagreement_score":0.13833061,"about_ca_system_score_codex":0.0002791002,"about_ca_system_score_gemma":0.0002634503,"threshold_uncertainty_score":0.99988914},"labels":[],"label_agreement":null},{"id":"W4399015876","doi":"10.7910/dvn/yqdaec","title":"Replication Data for: Basic Income in a Small Town: Understanding the Elusive Effects on Work","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Replication (statistics); Work (physics); Basic income; Computer science; Economics; Biology; Engineering; Virology","score_opus":0.07932542026401432,"score_gpt":0.265679706942687,"score_spread":0.18635428667867268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399015876","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055854954,0.00002556858,0.0025607161,0.00015439848,0.0010122951,0.00093723915,0.99446565,0.000018160079,0.00026744208],"genre_scores_gemma":[0.0016112664,0.0007773483,0.00024369675,0.0009687206,0.00031562606,0.00014036994,0.9957879,0.000036276208,0.00011877101],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971197,0.00011368635,0.0008137296,0.0014685965,0.00007352312,0.0004107641],"domain_scores_gemma":[0.9904969,0.0010807735,0.00069839746,0.0076087834,0.00003574557,0.00007942229],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029298556,0.00034610313,0.00067790935,0.0002735462,0.00017935615,0.0002802158,0.0019969754,0.00031954207,0.0007692385],"category_scores_gemma":[0.0029436944,0.0003290092,0.00012423226,0.00056463503,0.00005685531,0.00024022146,0.0011778713,0.0005552959,0.0018585358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010658871,0.00009490703,0.0005242105,0.00029301664,0.00010930587,0.000036891608,0.00003078405,0.00002088388,2.4048714e-7,0.029533105,0.96899134,0.00025870002],"study_design_scores_gemma":[0.00070391624,0.000041205134,0.0006950928,0.00027946607,0.00003832149,0.0000017275424,0.000050447008,0.000460547,7.6051185e-7,0.020086775,0.9772541,0.00038767373],"about_ca_topic_score_codex":0.00059755996,"about_ca_topic_score_gemma":0.0015718411,"teacher_disagreement_score":0.00944633,"about_ca_system_score_codex":0.0006704596,"about_ca_system_score_gemma":0.00009253152,"threshold_uncertainty_score":0.9999162},"labels":[],"label_agreement":null},{"id":"W4399058677","doi":"10.2139/ssrn.4843956","title":"Labor Reallocation between Small Firms: Experimental Evidence on Information Constraints","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Business; Industrial organization; Labour economics; Microeconomics","score_opus":0.03656364773358018,"score_gpt":0.2683203127979888,"score_spread":0.23175666506440862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399058677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657117,0.013380283,0.009315864,0.003133942,0.0017667854,0.00049024716,0.0006730474,0.00009055328,0.005437556],"genre_scores_gemma":[0.9908762,0.0075172475,0.00013226092,0.000245616,0.00061076554,0.00003686186,0.00015192451,0.00003872345,0.00039040472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99668854,0.00007099315,0.001294724,0.00046127356,0.00012905193,0.0013553995],"domain_scores_gemma":[0.9982024,0.0001168967,0.0009928372,0.00045309655,0.00011878802,0.00011598563],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0044414084,0.00035730872,0.0005405797,0.00043959802,0.00015095128,0.0005151383,0.00058285287,0.00038206752,0.000093026305],"category_scores_gemma":[0.00033438177,0.0003832864,0.00023999481,0.00021369319,0.00007979159,0.00034560414,0.00034033976,0.0042383303,0.0004889888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044593184,0.00005236599,0.0062192515,0.00011408513,0.00026644877,0.0000027278397,0.00057102233,0.00015624502,0.000005594395,0.982072,0.00006804899,0.010427623],"study_design_scores_gemma":[0.00032854528,0.00026264068,0.0036352782,0.00042167152,0.00003332257,0.000023308805,0.00048975216,0.0006058122,0.00004691651,0.99254256,0.0011283065,0.00048186214],"about_ca_topic_score_codex":0.00033743735,"about_ca_topic_score_gemma":0.000117437026,"teacher_disagreement_score":0.025164472,"about_ca_system_score_codex":0.0032782138,"about_ca_system_score_gemma":0.0015395745,"threshold_uncertainty_score":0.9998619},"labels":[],"label_agreement":null},{"id":"W4399129025","doi":"10.1002/pam.22617","title":"Nudging increases take‐up of employment services: Evidence from a large field experiment","year":2024,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; University of British Columbia","funders":"","keywords":"Field (mathematics); Economics; Labour economics; Psychology; Business; Mathematics","score_opus":0.02667589565325787,"score_gpt":0.2938204754013413,"score_spread":0.2671445797480835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399129025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524783,0.016798194,0.026759177,0.002329311,0.0002044117,0.000101117635,0.00015453236,0.0000096127,0.0011653452],"genre_scores_gemma":[0.9886341,0.009698448,0.0006904995,0.00048798457,0.00015058237,0.000004723925,0.0000054545835,0.000008749444,0.00031945517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850863,0.000033316275,0.0009424543,0.00023173027,0.00010710636,0.00017677026],"domain_scores_gemma":[0.9989625,0.00014589589,0.00051331136,0.00024439863,0.00004434477,0.00008954279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011124443,0.00012908736,0.0005292001,0.0008705588,0.00004579154,0.00014473955,0.00021099276,0.000040110506,0.00023127274],"category_scores_gemma":[0.00004803585,0.00011467446,0.00033371054,0.00058781786,0.0000149069865,0.00025328872,0.00015537452,0.000088494744,0.0000043913797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022443764,0.00072197197,0.16596253,0.0014498548,0.01945818,0.00019738529,0.008611359,0.0006051916,0.00022520301,0.7857768,0.0011981257,0.015568991],"study_design_scores_gemma":[0.004510209,0.0013330498,0.4078345,0.0046800333,0.008004411,0.000017542667,0.007880398,0.10346869,0.0019949889,0.28404725,0.17413335,0.002095577],"about_ca_topic_score_codex":0.008504199,"about_ca_topic_score_gemma":0.00035551528,"teacher_disagreement_score":0.5017295,"about_ca_system_score_codex":0.00009534831,"about_ca_system_score_gemma":0.000016131953,"threshold_uncertainty_score":0.99809825},"labels":[],"label_agreement":null},{"id":"W4399145473","doi":"10.2139/ssrn.4846879","title":"Gender Differences in Reservation Wages in Search Experiments","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reservation; Psychology; Economics; Labour economics; Demographic economics; Political science; Law","score_opus":0.07617585752589359,"score_gpt":0.2982519620106842,"score_spread":0.22207610448479062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399145473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715474,0.022078492,0.0006464388,0.0009794553,0.00076791696,0.00022314438,0.000056985184,0.000016072987,0.0036840423],"genre_scores_gemma":[0.98112214,0.017502604,0.000059338592,0.000043900633,0.00020079181,0.00003272916,0.000024306302,0.00003808373,0.00097613124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996419,0.00011862537,0.0010547527,0.00059268903,0.00011799815,0.0016969072],"domain_scores_gemma":[0.9992475,0.000049785944,0.00029044665,0.00031564757,0.00003905475,0.00005756488],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005908784,0.0002580075,0.0005617617,0.00082442537,0.00005271645,0.00026026822,0.0005428074,0.00031063682,0.0000777767],"category_scores_gemma":[0.00009992542,0.00027031897,0.0001484254,0.00036111634,0.00003157602,0.00012359515,0.000522082,0.0054726982,0.00005232665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030156414,0.000103409126,0.2530754,0.00008148184,0.00010129884,0.00001592936,0.0008553734,0.00016243765,0.000007076654,0.7445616,0.000009014632,0.0009968193],"study_design_scores_gemma":[0.00034391772,0.000039548355,0.07787211,0.000092846225,0.0000032957328,0.000006897816,0.0005607489,0.004009334,0.000004619296,0.91672915,0.00006929893,0.0002682461],"about_ca_topic_score_codex":0.002317036,"about_ca_topic_score_gemma":0.0034768363,"teacher_disagreement_score":0.17520328,"about_ca_system_score_codex":0.0027521309,"about_ca_system_score_gemma":0.0010433493,"threshold_uncertainty_score":0.9999749},"labels":[],"label_agreement":null},{"id":"W4399355977","doi":"10.1057/s41302-024-00273-6","title":"Demography, Human Capital Investment, and Lifetime Earnings for Women and Men","year":2024,"lang":"en","type":"article","venue":"Eastern Economic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Earnings; Human capital; Economics; Investment (military); Demographic economics; Labour economics; Political science; Finance; Economic growth","score_opus":0.014824375612399769,"score_gpt":0.2279439918771166,"score_spread":0.21311961626471682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399355977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873964,0.0031539744,0.0005972075,0.00061497506,0.00044393988,0.00015263466,0.00020724065,0.000026517693,0.0074070753],"genre_scores_gemma":[0.9952687,0.00040581048,0.00022022455,0.00020505553,0.0003916871,0.000021890512,0.000007073914,0.000036941172,0.0034426043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866164,0.000018314719,0.0005785633,0.0003727257,0.000018074661,0.0003507072],"domain_scores_gemma":[0.9993465,0.000059118338,0.00022299559,0.00012443247,0.000011377666,0.00023557532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012599642,0.00017104525,0.0003358023,0.00026025856,0.00018997482,0.0006706907,0.00012877322,0.00007736841,0.00020112486],"category_scores_gemma":[0.000021226027,0.00018441207,0.000094618124,0.000039516086,0.000082934974,0.00040392394,0.00007839705,0.0002126467,0.00005425485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033284985,0.000032354972,0.4646927,0.00013632484,0.00043306398,0.00001397638,0.0041499073,0.000013260671,0.000032789645,0.5261057,0.0005693197,0.003787286],"study_design_scores_gemma":[0.0011548599,0.0002692374,0.08293577,0.0000419829,0.000013115609,0.0001399285,0.00039752465,0.00966825,0.00000283652,0.84676474,0.058175433,0.00043633653],"about_ca_topic_score_codex":0.00005136657,"about_ca_topic_score_gemma":0.000016055725,"teacher_disagreement_score":0.38175693,"about_ca_system_score_codex":0.0001549888,"about_ca_system_score_gemma":0.000027680118,"threshold_uncertainty_score":0.7520106},"labels":[],"label_agreement":null},{"id":"W4399369779","doi":"10.1086/731603","title":"The Great Separation: Top Earner Segregation at Work in Advanced Capitalist Economies","year":2024,"lang":"en","type":"article","venue":"American Journal of Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"Alexander von Humboldt-Stiftung; Ministerio de Ciencia e Innovación; Agencia Estatal de Investigación; Norges Forskningsråd; Agence Nationale de la Recherche; National Science Foundation","keywords":"Separation (statistics); Work (physics); Economics; Labour economics; Engineering; Computer science; Mechanical engineering","score_opus":0.013305843425712465,"score_gpt":0.2620013849737072,"score_spread":0.2486955415479947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399369779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98680735,0.0047498173,0.00019399032,0.0050623924,0.00070181245,0.000051364306,0.000019898525,0.0000073639585,0.0024060244],"genre_scores_gemma":[0.9971214,0.0012572865,0.00018922833,0.00026113246,0.00014188152,0.000005922727,0.000004655874,0.0000113497745,0.0010071708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988937,0.000074805655,0.0006604146,0.00016252584,0.000022617582,0.00018594415],"domain_scores_gemma":[0.9988307,0.00048211552,0.00047621634,0.00013274481,0.0000377914,0.000040444975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010232052,0.00009300218,0.00033736296,0.00010559976,0.00007898935,0.00005520967,0.00015957991,0.00005149583,0.000080498496],"category_scores_gemma":[0.00013081118,0.000073570736,0.00011830773,0.00018505708,0.00039080353,0.00017053995,0.00003416188,0.00022118818,0.00005561696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019831001,0.000021401585,0.3029028,0.000011285762,0.00014893823,0.000032709588,0.0041212137,0.00077498035,0.00001105619,0.6637788,0.00094867,0.02704988],"study_design_scores_gemma":[0.00069167215,0.00057538575,0.28616393,0.000052948893,0.000015960997,0.000067210574,0.002073351,0.0013445046,0.000011806466,0.58283067,0.12577517,0.00039738984],"about_ca_topic_score_codex":0.00006253024,"about_ca_topic_score_gemma":0.000066879365,"teacher_disagreement_score":0.1248265,"about_ca_system_score_codex":0.00030969607,"about_ca_system_score_gemma":0.000038370035,"threshold_uncertainty_score":0.30001274},"labels":[],"label_agreement":null},{"id":"W4399466691","doi":"10.1093/qje/qjae016","title":"The Lifetime Impacts of the New Deal's Youth Employment Program","year":2024,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; California Center for Population Research, University of California, Los Angeles; Australian Government; National Institute of Child Health and Human Development; National Bureau of Economic Research; U.S. Social Security Administration; National Science Foundation","keywords":"Economics","score_opus":0.022178762876767667,"score_gpt":0.2413077859883186,"score_spread":0.2191290231115509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399466691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98266757,0.004743595,0.0002516208,0.008506855,0.0018073983,0.00029196407,0.00013339393,0.0000136586705,0.0015839529],"genre_scores_gemma":[0.99788094,0.00085814524,0.00016063586,0.00017011055,0.00046043482,0.0000032768453,0.0000014170768,0.000029549856,0.00043551717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980411,0.00006682941,0.0013749513,0.00016923291,0.00004573688,0.00030218493],"domain_scores_gemma":[0.9979294,0.0002798349,0.0010722682,0.00054385065,0.000057466757,0.000117168245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026328636,0.00017284074,0.00039029267,0.00008308661,0.00017144663,0.00040704565,0.0009369864,0.00007308153,0.000036228503],"category_scores_gemma":[0.00005266705,0.00009238135,0.00044434558,0.00018478955,0.00013605479,0.00023893622,0.00005324739,0.00036736764,0.00003193874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016989089,0.0001779726,0.0069011687,0.000051624294,0.0009104583,0.000005326744,0.010184444,0.0004675458,0.000011270699,0.8731471,0.001803437,0.1061698],"study_design_scores_gemma":[0.0009194508,0.0013659042,0.014345595,0.0001607817,0.00012582772,0.00007746944,0.0016840321,0.0056678383,0.000058395948,0.88335013,0.09186018,0.0003843937],"about_ca_topic_score_codex":0.00025061585,"about_ca_topic_score_gemma":0.00018368904,"teacher_disagreement_score":0.10578541,"about_ca_system_score_codex":0.00015730759,"about_ca_system_score_gemma":0.00021175855,"threshold_uncertainty_score":0.39251506},"labels":[],"label_agreement":null},{"id":"W4399512870","doi":"10.1093/restud/rdae064","title":"Job Applications and Labour Market Flows","year":2024,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Reservation; Unemployment; Labour economics; Economics; Computer science; Microeconomics","score_opus":0.03874244629464117,"score_gpt":0.2942163637290739,"score_spread":0.2554739174344327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399512870","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021182902,0.9443993,0.00013139186,0.0054421877,0.0003300222,0.00041767504,0.00040249425,0.00002513568,0.027668893],"genre_scores_gemma":[0.18811676,0.8092234,0.00016135129,0.00053243554,0.0001319064,0.00015111845,0.0000028820377,0.000014463837,0.0016656744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989404,0.000026330874,0.0006373511,0.00025771267,0.000013236894,0.00012498326],"domain_scores_gemma":[0.9991541,0.000288962,0.0001718171,0.0003395163,0.000020997271,0.00002462043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017734871,0.00011649951,0.00052055693,0.00005067881,0.0000744614,0.000030759886,0.00017732971,0.0000236277,0.00030468134],"category_scores_gemma":[0.000090775444,0.00008716967,0.00011060691,0.00010515973,0.00010108052,0.00008032585,0.00012947607,0.00007734011,0.00015976142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015358219,0.000005769088,0.0012284355,0.00556818,0.00025299608,3.7458108e-7,0.000092593094,0.0000012129523,4.5036992e-7,0.980591,0.003936987,0.00832044],"study_design_scores_gemma":[0.00007930896,0.000014243544,0.0040247864,0.0012164187,0.000042701195,0.000004767139,0.000065879554,0.0007373215,9.765206e-7,0.33310255,0.6605413,0.00016976235],"about_ca_topic_score_codex":0.000046740537,"about_ca_topic_score_gemma":0.000024052837,"teacher_disagreement_score":0.6566043,"about_ca_system_score_codex":0.00006275953,"about_ca_system_score_gemma":0.00001603695,"threshold_uncertainty_score":0.3554676},"labels":[],"label_agreement":null},{"id":"W4399721645","doi":"10.3386/w32562","title":"Statistical Discrimination and the Distribution of Wages","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Economics; Econometrics; Labour economics; Mathematics; Mathematical analysis","score_opus":0.26984240421878564,"score_gpt":0.4697184909446614,"score_spread":0.19987608672587576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399721645","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052502356,0.013447218,0.0010414559,0.006807857,0.0016903281,0.0012903522,0.025423607,0.000021645747,0.8977752],"genre_scores_gemma":[0.9914708,0.00400623,0.00006427147,0.000006861328,0.00021618513,0.000057034704,0.0017527685,0.000024018056,0.0024018434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976141,0.00012520544,0.0012192654,0.00045300665,0.00036427198,0.0002241872],"domain_scores_gemma":[0.99669504,0.0017339269,0.00052090135,0.00026259013,0.00073661486,0.00005094801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0135678165,0.00015195743,0.0006393899,0.0003625117,0.000072693714,0.000090595706,0.0002920022,0.00024076352,0.0002007439],"category_scores_gemma":[0.0032706542,0.00012689755,0.00013965568,0.00016841832,0.0007758085,0.000102077865,0.00021940963,0.0005248988,0.00004760246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054213426,0.00003314865,0.0011036316,0.00048223062,0.00014122685,0.0000010348558,0.000057190693,0.000023098672,0.0000013037561,0.99083877,0.006441017,0.00082316395],"study_design_scores_gemma":[0.0003810548,0.000035985697,0.00583652,0.00007353523,0.000015607335,0.000003871175,0.000029994284,0.0027817306,0.0000074558407,0.9809189,0.009797661,0.000117713644],"about_ca_topic_score_codex":0.0032075383,"about_ca_topic_score_gemma":0.00011134682,"teacher_disagreement_score":0.9389684,"about_ca_system_score_codex":0.0008050508,"about_ca_system_score_gemma":0.00061194453,"threshold_uncertainty_score":0.51747316},"labels":[],"label_agreement":null},{"id":"W4399785662","doi":"10.1111/sjoe.12570","title":"How the other half works: Claudia Goldin's contributions to our understanding of women's labour market outcomes","year":2024,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Sociology; Labour economics; Gender studies","score_opus":0.03396683622329744,"score_gpt":0.254866441376424,"score_spread":0.22089960515312657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399785662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286987,0.0018451312,0.014653706,0.047081165,0.003196904,0.0002975963,0.001743422,0.00002045696,0.0024628823],"genre_scores_gemma":[0.99650776,0.0005425418,0.00028178826,0.00043887197,0.00035575897,0.000008550782,0.000002628788,0.000045624223,0.0018164731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794,0.00006464951,0.0011224451,0.0002913904,0.00004977083,0.00053175754],"domain_scores_gemma":[0.9981171,0.0002744963,0.00083315815,0.0003868311,0.00011094695,0.0002774749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033022459,0.0002445363,0.0008127719,0.00045469883,0.0001371379,0.00066553225,0.00054494146,0.0001346705,0.00022181103],"category_scores_gemma":[0.00044737777,0.00020073383,0.00041389407,0.0004101612,0.00007147292,0.0005647503,0.00008687681,0.0003899462,0.000022951752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082277504,0.000049780458,0.03753326,0.000047811467,0.0005640628,0.000012947492,0.0006609128,0.00022567007,0.0000037600278,0.95936507,0.0008349614,0.00061948044],"study_design_scores_gemma":[0.0013445343,0.00031608783,0.021687947,0.00038513838,0.000065281165,0.000050812483,0.006215078,0.001471366,0.000022659911,0.8803506,0.08750434,0.00058618584],"about_ca_topic_score_codex":0.00010626921,"about_ca_topic_score_gemma":0.00012444332,"teacher_disagreement_score":0.08666938,"about_ca_system_score_codex":0.002123517,"about_ca_system_score_gemma":0.00012561506,"threshold_uncertainty_score":0.8185688},"labels":[],"label_agreement":null},{"id":"W4400280001","doi":"10.54932/ppqx7706","title":"Les effets du crédit d’impôt pour la prolongation de carrière sur l’emploi et les revenus","year":2024,"lang":"fr","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.039650919531748506,"score_gpt":0.2690868051187101,"score_spread":0.22943588558696157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400280001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74415565,0.017529337,0.007497663,0.010424637,0.0037859825,0.00084088277,0.004276799,0.00019610395,0.21129297],"genre_scores_gemma":[0.8253215,0.013936812,0.001366998,0.00021346746,0.0009142748,0.00013821259,0.0005974462,0.00019922621,0.15731207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99536884,0.00039578977,0.0019319204,0.0013335013,0.00019704859,0.00077287277],"domain_scores_gemma":[0.9964578,0.00093229697,0.0011981891,0.0008113374,0.0003900703,0.00021028712],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007195885,0.0007473842,0.0014005796,0.00046751942,0.00020925413,0.0005895263,0.0005366047,0.0016168442,0.0010940253],"category_scores_gemma":[0.0018828827,0.0008500967,0.0006917167,0.0004417599,0.00014969915,0.00027710228,0.0003324525,0.001518943,0.00036408805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026641206,0.0003009086,0.45744178,0.0024156966,0.00052647514,0.0004334301,0.00034892443,0.00022065433,0.000013269326,0.49016243,0.0046959966,0.043413803],"study_design_scores_gemma":[0.00062024506,0.000106911226,0.25018924,0.00087917765,0.00019853955,0.00026639944,0.00006361109,0.008333817,0.000022476172,0.07191334,0.6660799,0.0013263894],"about_ca_topic_score_codex":0.024812277,"about_ca_topic_score_gemma":0.005123557,"teacher_disagreement_score":0.66138387,"about_ca_system_score_codex":0.0010129676,"about_ca_system_score_gemma":0.00070715393,"threshold_uncertainty_score":0.9998191},"labels":[],"label_agreement":null},{"id":"W4400581335","doi":"10.2139/ssrn.4890921","title":"Wage Setting Protocols and Labor Market Conditions: Theory and Evidence","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage; Economics; Efficiency wage; Labour economics","score_opus":0.020048993815819868,"score_gpt":0.2850904566846304,"score_spread":0.26504146286881053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400581335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068996,0.17041136,0.0022919695,0.005797696,0.0008385024,0.006976797,0.0011270781,0.00012120486,0.0055358135],"genre_scores_gemma":[0.96646506,0.028293006,0.00018920276,0.00025071081,0.00038452062,0.001031149,0.000012077002,0.00006660963,0.0033076822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966693,0.00023723677,0.00090969575,0.00072383543,0.000079656755,0.0013802748],"domain_scores_gemma":[0.9982888,0.00042126706,0.00070323603,0.00037947952,0.000080208556,0.00012701319],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015155438,0.0003466975,0.0005833853,0.00029050763,0.00023920891,0.0006846159,0.00034207184,0.000295762,0.00016610725],"category_scores_gemma":[0.0009626088,0.00035104307,0.00014463293,0.00015469104,0.00012501849,0.00021553165,0.000721629,0.004271981,0.000023371087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072183124,0.000025384272,0.012969937,0.0004331792,0.0002826388,0.00001327199,0.00019442853,0.000004763771,0.000005519977,0.98280716,0.00010798619,0.0030835452],"study_design_scores_gemma":[0.0002829071,0.00009511786,0.0074269227,0.0009253548,0.00003963472,0.00016364105,0.00024779685,0.00078478904,0.0000018863126,0.98843443,0.001195207,0.0004023081],"about_ca_topic_score_codex":0.000079349724,"about_ca_topic_score_gemma":0.00012962049,"teacher_disagreement_score":0.15956546,"about_ca_system_score_codex":0.0006833747,"about_ca_system_score_gemma":0.0009628752,"threshold_uncertainty_score":0.99989414},"labels":[],"label_agreement":null},{"id":"W4400632990","doi":"10.1787/eco_outlook-v2017-1-table87-en","title":"Employment, income and inflation: Canada","year":2017,"lang":"en","type":"other","venue":"OECD economic outlook","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Economics; Monetary economics; Physics","score_opus":0.015369696999372365,"score_gpt":0.21706812192478214,"score_spread":0.2016984249254098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400632990","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006960348,0.0027109373,0.00004166946,0.00036743702,0.0020930045,0.00029393993,0.0030232447,0.0000670396,0.98444235],"genre_scores_gemma":[0.07242576,0.0013061542,0.00014697184,0.00025861483,0.00074970943,0.00003207435,0.00015090324,0.00035889453,0.9245709],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839914,0.000013940506,0.00055866543,0.0006628032,0.000027979884,0.00033746744],"domain_scores_gemma":[0.997768,0.000035092056,0.0010953194,0.00093739387,0.000006093452,0.0001580871],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035772834,0.0003451957,0.00077851495,0.00018530987,0.00012625018,0.00018261914,0.00041687532,0.00028465674,0.0055865226],"category_scores_gemma":[0.000027867603,0.00043087947,0.00008249214,0.000011927858,0.000085338455,0.0001196368,0.00019557598,0.0001962909,0.0007954687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011859955,0.000022453387,0.33357129,0.00017655377,0.0004465893,0.000025502575,0.000045951285,0.000012997391,2.2715324e-7,0.27849543,0.38386142,0.0033297],"study_design_scores_gemma":[0.0004243503,0.000011182941,0.014517122,0.000041300817,0.000010143238,0.0000026685582,0.0000028340892,0.00021248641,4.675046e-7,0.01133414,0.97292167,0.0005216187],"about_ca_topic_score_codex":0.6135411,"about_ca_topic_score_gemma":0.787907,"teacher_disagreement_score":0.58906025,"about_ca_system_score_codex":0.00048932276,"about_ca_system_score_gemma":0.00023954995,"threshold_uncertainty_score":0.99998254},"labels":[],"label_agreement":null},{"id":"W4400636522","doi":"10.1787/9789264273467-graph35-en","title":"Canadian and United States labour productivity, unit labour costs and compensation rates","year":2017,"lang":"en","type":"other","venue":"OECD studies on SMEs and entrepreneurship","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Unit (ring theory); Labour economics; Compensation (psychology); Economics; Business; Demographic economics; Agricultural economics; Economic growth; Mathematics","score_opus":0.04570449651064851,"score_gpt":0.27251437319074306,"score_spread":0.22680987668009456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400636522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9299866,0.021397188,0.0000018778213,0.005705188,0.0007127657,0.0004958554,0.003721106,0.00006824178,0.037911177],"genre_scores_gemma":[0.7695856,0.04189587,0.000031873507,0.0005102483,0.0001980929,0.000017147811,0.00022067076,0.00013846613,0.187402],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984675,0.00007316028,0.0003030991,0.0007470354,0.00005145816,0.00035774152],"domain_scores_gemma":[0.9986391,0.00015157166,0.00048708695,0.00046005077,0.0000596118,0.00020256558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005788074,0.00036784023,0.00069976953,0.00046156952,0.00032498527,0.0002683711,0.00014253553,0.00018331273,0.00010600171],"category_scores_gemma":[0.0002659312,0.0003646765,0.000033332522,0.00008660036,0.00021806237,0.00007699709,0.00014941156,0.000212359,0.000022037726],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003841113,0.000055436445,0.75008816,0.00055505463,0.0005578876,0.000028259878,0.0009767906,0.000007245598,7.776971e-7,0.22998872,0.012345063,0.005358188],"study_design_scores_gemma":[0.00078664743,0.00012186798,0.22010823,0.00028515692,0.000040887324,0.000005831732,0.00049106515,0.000109319175,0.00000476646,0.038446777,0.73883754,0.00076190714],"about_ca_topic_score_codex":0.10737632,"about_ca_topic_score_gemma":0.21092194,"teacher_disagreement_score":0.72649246,"about_ca_system_score_codex":0.0000894114,"about_ca_system_score_gemma":0.000027591068,"threshold_uncertainty_score":0.9998805},"labels":[],"label_agreement":null},{"id":"W4400713263","doi":"10.1787/9e3d5ff9-en","title":"Three-quarters of the gender wage gap is concentrated within firms while the remaining quarter reflects the sorting of women in low-wage firms","year":2022,"lang":"en","type":"other","venue":"OECD employment outlook","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Wage; Sorting; Labour economics; Economics; Low wage; Demographic economics; Business; Geography; Mathematics","score_opus":0.042273755214918995,"score_gpt":0.24614220387096125,"score_spread":0.20386844865604226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400713263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6913898,0.0023646988,0.0001887152,0.0022673332,0.0020030295,0.0027453427,0.001541167,0.00009669198,0.29740322],"genre_scores_gemma":[0.97136956,0.00013047252,0.00003807247,0.0012356725,0.00012343991,0.00019843325,0.000049497372,0.0002665581,0.026588265],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964375,0.00020834123,0.0015929649,0.00068166864,0.0002626114,0.0008169343],"domain_scores_gemma":[0.99589676,0.00021626629,0.0023075426,0.0014663695,0.000030819756,0.00008221818],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003472723,0.00044178122,0.0009577674,0.00019215347,0.00019431107,0.00007782104,0.0011422429,0.00023750727,0.00608102],"category_scores_gemma":[0.00009722262,0.00028350585,0.00030896906,0.0004552191,0.00024965362,0.00007398734,0.00031991026,0.00069864944,0.000037391907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002894075,0.00091992825,0.6696288,0.00092804903,0.0021696778,0.000036164507,0.09650074,0.0009288878,0.00012342451,0.15565799,0.071746446,0.001070517],"study_design_scores_gemma":[0.014154306,0.001663497,0.2013756,0.0023843548,0.00046519964,0.000021671382,0.037307154,0.024579749,0.00040020756,0.26625267,0.4444779,0.0069177053],"about_ca_topic_score_codex":0.0018424778,"about_ca_topic_score_gemma":0.001409358,"teacher_disagreement_score":0.46825317,"about_ca_system_score_codex":0.0005532935,"about_ca_system_score_gemma":0.00013019133,"threshold_uncertainty_score":0.99996173},"labels":[],"label_agreement":null},{"id":"W4400871359","doi":"10.3386/w32719","title":"The Employment Effects of a Guaranteed Income: Experimental Evidence from Two U.S. States","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Texas Higher Education Coordinating Board; Texas Education Agency; Texas Workforce Commission; National Science Foundation","keywords":"Economics; Demographic economics; Labour economics; Econometrics","score_opus":0.23592352927134766,"score_gpt":0.48125125117461404,"score_spread":0.24532772190326638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400871359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.731358,0.14330482,0.000029770988,0.001410184,0.0042178463,0.0017501062,0.0037715333,0.000035321464,0.114122406],"genre_scores_gemma":[0.98618954,0.010316765,0.00008463227,0.000014392281,0.00044577656,0.00017893278,0.00021215792,0.000060714647,0.002497085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961111,0.00016811515,0.0018558044,0.0007873821,0.0006368077,0.00044077853],"domain_scores_gemma":[0.9932115,0.00448251,0.00090699823,0.0006413295,0.00066709507,0.000090532856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009268224,0.00028663414,0.00089029677,0.0006165604,0.0001372943,0.00018763167,0.0009873215,0.00024430465,0.0002668822],"category_scores_gemma":[0.0021425379,0.00025559872,0.00036458895,0.00027599445,0.00042083123,0.00016435512,0.0005349998,0.0007008401,0.00020679347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016759592,0.00014459246,0.010901594,0.000671369,0.0009967532,0.000016610893,0.0003461668,0.00025268533,0.00030218146,0.97945666,0.0060156714,0.00072812755],"study_design_scores_gemma":[0.00050734397,0.00018195795,0.002220313,0.000796619,0.000015548492,0.0000024157405,0.000057111392,0.0022817196,0.0017430354,0.98185706,0.010034862,0.00030198495],"about_ca_topic_score_codex":0.021433882,"about_ca_topic_score_gemma":0.00048452802,"teacher_disagreement_score":0.25483152,"about_ca_system_score_codex":0.0023660357,"about_ca_system_score_gemma":0.001289886,"threshold_uncertainty_score":0.9999896},"labels":[],"label_agreement":null},{"id":"W4400922343","doi":"10.2139/ssrn.4901052","title":"The Employment Effects of a Guaranteed Income: Experimental Evidence from Two U.S. States","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Demographic economics; Labour economics","score_opus":0.010898296780084232,"score_gpt":0.2544014586554402,"score_spread":0.243503161875356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400922343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8165845,0.1776929,0.0040465784,0.0006243306,0.0007691064,0.00012911843,0.000033523924,0.000020342573,0.000099549085],"genre_scores_gemma":[0.9765027,0.022866473,0.000042268348,0.000041657357,0.00018500842,0.000012003616,0.0000029272107,0.000024628995,0.0003222972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792844,0.00006773944,0.00064546376,0.00026532082,0.00009039279,0.0010026221],"domain_scores_gemma":[0.99883026,0.0005934744,0.00024639087,0.00025012973,0.000028198705,0.0000515409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002481684,0.00015468533,0.00028010408,0.000095391755,0.00017340523,0.0002097779,0.0003922639,0.000042845804,0.00003006084],"category_scores_gemma":[0.00013993088,0.000118068005,0.00018406082,0.00020953712,0.000070213355,0.0002173517,0.00007724214,0.0007685109,0.000040826562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094230185,0.000059501515,0.01878962,0.000030388323,0.00048787476,0.000015817885,0.0007418697,0.000046278517,0.00063343684,0.9735005,0.000027936743,0.005572548],"study_design_scores_gemma":[0.0005344096,0.0003281933,0.002808309,0.00020797134,0.000018159344,0.000022900866,0.0003633323,0.0038816181,0.0010024663,0.98877156,0.0018623659,0.00019873491],"about_ca_topic_score_codex":0.001400985,"about_ca_topic_score_gemma":0.00046926172,"teacher_disagreement_score":0.15991819,"about_ca_system_score_codex":0.00078775024,"about_ca_system_score_gemma":0.0003117017,"threshold_uncertainty_score":0.48146737},"labels":[],"label_agreement":null},{"id":"W4400984678","doi":"10.1177/00811750241260731","title":"Using Relative Distribution Methods to Study Economic Polarization across Categories and Contexts","year":2024,"lang":"en","type":"article","venue":"Sociological Methodology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; York University; National Science Foundation","keywords":"Polarization (electrochemistry); Econometrics; Distribution (mathematics); Statistical physics; Geography; Economics; Mathematics; Physics; Chemistry","score_opus":0.2604993241231224,"score_gpt":0.45546397394152016,"score_spread":0.19496464981839778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400984678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52299416,0.0009738115,0.47440916,0.00039419872,0.00056230265,0.0002110883,0.00031534748,0.000043863474,0.000096056174],"genre_scores_gemma":[0.90044165,0.000040941763,0.09909006,0.00015722278,0.00011507196,0.000029083463,0.00004240672,0.000014683471,0.000068872956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969651,0.0014074943,0.0006119713,0.0006677467,0.000017494012,0.00033019023],"domain_scores_gemma":[0.99742186,0.0021249715,0.00014844956,0.0001828213,0.000030397325,0.000091525166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008444134,0.00017756654,0.0005946851,0.00005979289,0.00022211116,0.00009974999,0.00012924963,0.00029216887,0.00009977221],"category_scores_gemma":[0.0022112252,0.00016347985,0.00008823227,0.00017541055,0.00019742307,0.00017607058,0.00020531713,0.00029966034,0.000039709685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038134323,0.000038118043,0.076929405,0.000012161762,0.00012956437,0.0000067199217,0.0031698474,0.000052046875,0.00019544768,0.91194445,0.0000048623833,0.0074792174],"study_design_scores_gemma":[0.0002140807,0.00025194802,0.15173748,0.0000036691802,0.000018160965,0.0000069208313,0.00078187615,0.0035238,0.000032943084,0.84217906,0.0010225181,0.00022752219],"about_ca_topic_score_codex":0.00037004467,"about_ca_topic_score_gemma":0.000018870336,"teacher_disagreement_score":0.37744752,"about_ca_system_score_codex":0.00023195604,"about_ca_system_score_gemma":0.00001936527,"threshold_uncertainty_score":0.6666515},"labels":[],"label_agreement":null},{"id":"W4401032255","doi":"10.1177/08912424241265331","title":"What Motivates Employer Engagement? Promoting Youth Career Embeddedness in Two Tennessee Regions","year":2024,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Workforce; Embeddedness; Workforce development; Career development; Job embeddedness; Public relations; Career Pathways; Business; Labour economics; Economic growth; Sociology; Political science; Economics; Management; Pedagogy; Operations management","score_opus":0.04603597820615148,"score_gpt":0.25996032037886324,"score_spread":0.21392434217271175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401032255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890083,0.00095074845,0.0010310609,0.00074742804,0.003720039,0.0004311145,0.00010632103,0.0001709666,0.0038340418],"genre_scores_gemma":[0.9974153,0.00009585421,0.00065654615,0.00012454469,0.00018035476,0.00012331906,0.00013532866,0.00007608161,0.0011926637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99688166,0.000060973463,0.001380652,0.0009874911,0.000051084764,0.00063811266],"domain_scores_gemma":[0.9990388,0.00011925232,0.00023665321,0.00044894486,0.00002482609,0.00013148475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021055597,0.00036284045,0.0005796278,0.0005288458,0.0001523406,0.0010292502,0.00040937122,0.000098584285,0.00042554116],"category_scores_gemma":[0.000028028047,0.0004122735,0.00013025162,0.00027145026,0.000049505743,0.0014853943,0.00008279008,0.00033556393,0.0010810826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029369405,0.00034673468,0.13894615,0.00048659206,0.0005571816,0.0001869417,0.16770487,0.00028662948,0.000032922457,0.6593598,0.0004019188,0.031660855],"study_design_scores_gemma":[0.005871176,0.00043079548,0.1797849,0.0025408056,0.0000752811,0.00005085691,0.05420915,0.036271635,0.00034733533,0.6237381,0.090196595,0.006483349],"about_ca_topic_score_codex":0.0004314834,"about_ca_topic_score_gemma":0.00094540487,"teacher_disagreement_score":0.11349572,"about_ca_system_score_codex":0.00070659065,"about_ca_system_score_gemma":0.00015942256,"threshold_uncertainty_score":0.9998329},"labels":[],"label_agreement":null},{"id":"W4401161169","doi":"10.1016/j.jdeveco.2024.103345","title":"Allocating labor across small firms: Experimental evidence on information constraints","year":2024,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Abdul Latif Jameel Poverty Action Lab; Centre for Economic Policy Research; New York University Abu Dhabi","keywords":"Economics; Business; Industrial organization; Labour economics; Microeconomics","score_opus":0.047052526369621664,"score_gpt":0.2703636992886701,"score_spread":0.22331117291904845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401161169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910743,0.00143297,0.0031046572,0.00069137866,0.0015814188,0.000111436784,0.000085025495,0.00002027998,0.0018985154],"genre_scores_gemma":[0.9931883,0.00049871067,0.005452691,0.00058977416,0.00013778741,0.000006624908,0.000008826579,0.00001689492,0.000100351164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979141,0.000014846536,0.0015754985,0.00018655689,0.00004278627,0.00026621655],"domain_scores_gemma":[0.998748,0.00017159143,0.00074236194,0.00015203538,0.000076247896,0.000109756664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019647877,0.0001734825,0.00035816466,0.00020508615,0.00010291499,0.00043777598,0.0002919295,0.000092943315,0.00015511112],"category_scores_gemma":[0.00022136609,0.0001807607,0.000119757664,0.00012974406,0.00005412856,0.0011628626,0.00007396013,0.00025073675,0.00024244022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028423223,0.00034502317,0.05318596,0.00043321477,0.00069373613,0.000067423585,0.02257388,0.0021648332,0.00013168727,0.77935344,0.0006283725,0.14013821],"study_design_scores_gemma":[0.0061668335,0.0017055069,0.1652577,0.00493889,0.000054824166,0.00056052173,0.010238798,0.03223682,0.013867062,0.105226465,0.6552639,0.0044826963],"about_ca_topic_score_codex":0.000010595898,"about_ca_topic_score_gemma":0.000007917855,"teacher_disagreement_score":0.674127,"about_ca_system_score_codex":0.00061177014,"about_ca_system_score_gemma":0.0002514244,"threshold_uncertainty_score":0.73712075},"labels":[],"label_agreement":null},{"id":"W4401322463","doi":"10.1086/732530","title":"Occupational Choice, Matching, and Earnings Inequality","year":2024,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Earnings; Matching (statistics); Economics; Labour economics; Mathematics; Statistics; Finance","score_opus":0.026950638364164746,"score_gpt":0.2816978473012485,"score_spread":0.2547472089370838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401322463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9431539,0.000839991,0.0075294413,0.004276136,0.00054204895,0.000052218642,0.00012211189,0.000018000492,0.043466125],"genre_scores_gemma":[0.9974888,0.000029488756,0.000677775,0.0009597864,0.00056502596,0.0000019187908,0.000004227206,0.000015479487,0.00025750214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846685,0.000029645611,0.0009779019,0.00020372303,0.000037475806,0.00028438572],"domain_scores_gemma":[0.9989296,0.00037200324,0.00027053055,0.00011738959,0.0000644192,0.0002460663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416354,0.00012036564,0.0003775943,0.00022207331,0.000049187864,0.00022000061,0.00013556007,0.000085802414,0.00041117374],"category_scores_gemma":[0.00029054767,0.00011736375,0.00015072236,0.00009825763,0.00007928264,0.00048139153,0.00005362013,0.0003341496,0.00006975732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000083553605,0.000027922506,0.110980175,0.00007109443,0.000058940495,0.0000123220225,0.00006671215,0.000003556884,0.0000015732493,0.8883922,0.00015387266,0.00022328233],"study_design_scores_gemma":[0.00020828312,0.000051986946,0.22529195,0.000035306828,0.000008237733,0.000042317497,0.000024603238,0.0006511535,0.0000030413075,0.7061617,0.06739624,0.00012520369],"about_ca_topic_score_codex":0.00017748562,"about_ca_topic_score_gemma":0.0000057454504,"teacher_disagreement_score":0.1822305,"about_ca_system_score_codex":0.00014093012,"about_ca_system_score_gemma":0.00009104691,"threshold_uncertainty_score":0.4785955},"labels":[],"label_agreement":null},{"id":"W4401354816","doi":"10.47604/ijs.2831","title":"Impact of Gender Pay Gap on Workplace Productivity and Employee Morale in Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of Sociology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Productivity; Gender pay gap; Employee morale; Labour economics; Demographic economics; Employee engagement; Business; Economics; Work (physics); Economic growth; Management; Wage; Engineering","score_opus":0.039399189756538555,"score_gpt":0.2926127238438211,"score_spread":0.25321353408728253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401354816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957147,0.00081322965,0.00012238737,0.0014541148,0.0010319771,0.000030229,0.00023588682,0.0000015726606,0.0005958783],"genre_scores_gemma":[0.9995289,0.00017844015,0.000042473388,0.00006165414,0.00013788912,8.43906e-7,0.0000038152443,0.0000051903003,0.000040790823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992489,0.000033262324,0.0004471759,0.00012445576,0.000049401242,0.00009677605],"domain_scores_gemma":[0.99943274,0.0001630353,0.00023615848,0.00005883239,0.00007804965,0.000031169315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006254286,0.000065593136,0.00023395545,0.00016758582,0.000007700402,0.000014028745,0.00013803806,0.000044251283,0.00010189122],"category_scores_gemma":[0.00015402494,0.000051544775,0.00007396256,0.000054220083,0.00005457433,0.00009487235,0.000028022407,0.00023115466,0.0000018988213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067298744,0.00003462203,0.9520537,0.000010421643,0.00020406942,0.000056658693,0.00035077735,0.0004812488,0.000019863171,0.045545045,0.00035688092,0.0008194094],"study_design_scores_gemma":[0.00023861368,0.00007541801,0.86217666,0.000021893446,0.000002294329,0.000025961903,0.000033707045,0.00035472756,0.0000059312106,0.1366883,0.00031423284,0.00006227032],"about_ca_topic_score_codex":0.07714265,"about_ca_topic_score_gemma":0.02220424,"teacher_disagreement_score":0.091143265,"about_ca_system_score_codex":0.0005797698,"about_ca_system_score_gemma":0.00031023542,"threshold_uncertainty_score":0.995638},"labels":[],"label_agreement":null},{"id":"W4401841630","doi":"10.2139/ssrn.4935737","title":"Worker Reallocation Barriers and the Impact of Import Competition on Gender Income Inequality","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Inequality; Competition (biology); Economic inequality; Economics; Labour economics; Demographic economics","score_opus":0.01797131810829697,"score_gpt":0.2652714359748681,"score_spread":0.2473001178665711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401841630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835144,0.0075833905,0.0028340127,0.0008986766,0.0005331358,0.0003157899,0.00028482144,0.000020180969,0.0040155565],"genre_scores_gemma":[0.98822653,0.011197722,0.000018961364,0.00005382287,0.0002430153,0.000017529394,0.0000480212,0.000038121907,0.00015626768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99722,0.00018181356,0.0011590954,0.00043483387,0.00010816547,0.0008961282],"domain_scores_gemma":[0.9980849,0.00012112653,0.0011043013,0.00048994506,0.00009459473,0.00010515096],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010410042,0.00029431004,0.0006895398,0.0002736976,0.00013247764,0.00016590842,0.00034129006,0.00026546262,0.00006866174],"category_scores_gemma":[0.00022268933,0.0002147461,0.00045820695,0.0002023989,0.00015188198,0.00007097115,0.0002978143,0.0035553495,0.00001229877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022897361,0.000030602638,0.03838543,0.000066578104,0.00067375397,0.0000012921981,0.00030395619,0.00088791037,0.0000011376867,0.9588714,0.000012519677,0.00053640245],"study_design_scores_gemma":[0.0007104722,0.00010470637,0.040727597,0.00007547606,0.000037784368,0.000027143995,0.00015587502,0.0047060153,7.0031984e-7,0.9532109,0.000027217087,0.00021609163],"about_ca_topic_score_codex":0.0018888918,"about_ca_topic_score_gemma":0.00022585203,"teacher_disagreement_score":0.010187352,"about_ca_system_score_codex":0.001701776,"about_ca_system_score_gemma":0.0013312707,"threshold_uncertainty_score":0.9987435},"labels":[],"label_agreement":null},{"id":"W4402038944","doi":"10.2139/ssrn.4940502","title":"Living Arrangements and Labor Market Volatility of Young Workers","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Labour economics; Volatility (finance); Business; Economics; Financial economics","score_opus":0.012488622334159283,"score_gpt":0.2282711612696267,"score_spread":0.21578253893546742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402038944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94948566,0.03670852,0.0014608464,0.0004452176,0.001481239,0.00023133511,0.00043953498,0.000028124134,0.009719539],"genre_scores_gemma":[0.98196477,0.014300291,0.00017385258,0.00003070397,0.00024312285,0.000010731969,0.00000893954,0.000051341165,0.0032162229],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967274,0.00008984012,0.001125704,0.00058533065,0.000101454,0.0013702385],"domain_scores_gemma":[0.99840444,0.000097504795,0.0008842475,0.0004218386,0.00009286812,0.00009909874],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0075355796,0.00031721292,0.0007116818,0.0003115781,0.000098275676,0.00020296383,0.00040775185,0.00028114015,0.00024100607],"category_scores_gemma":[0.00023294443,0.00034182824,0.00025746043,0.00021880663,0.0000754683,0.00010288309,0.00072526804,0.0034922147,0.000010905164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005023713,0.00007703343,0.6619873,0.00037005637,0.0008861588,0.000004121236,0.00039669758,0.000014714263,0.000002813627,0.33279076,0.00011116029,0.0033089374],"study_design_scores_gemma":[0.00018851203,0.00005345588,0.096747085,0.00025817368,0.00005014118,0.000020380814,0.0003164455,0.0035957294,5.4223665e-7,0.89811146,0.00035389178,0.00030419262],"about_ca_topic_score_codex":0.000763879,"about_ca_topic_score_gemma":0.0009695298,"teacher_disagreement_score":0.5653207,"about_ca_system_score_codex":0.0009425632,"about_ca_system_score_gemma":0.00073029415,"threshold_uncertainty_score":0.9999034},"labels":[],"label_agreement":null},{"id":"W4402050615","doi":"10.1057/s41599-024-03557-6","title":"Embracing artificial intelligence in the labour market: the case of statistics","year":2024,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Statistics; Economics; Artificial intelligence; Econometrics; Computer science; Mathematics","score_opus":0.1630001173803694,"score_gpt":0.3258030131612472,"score_spread":0.1628028957808778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402050615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6144725,0.0132827815,0.010793121,0.028235978,0.0007637145,0.0006265121,0.0023223283,0.000046364494,0.32945672],"genre_scores_gemma":[0.9987131,0.00049810426,0.00032197344,0.0002834296,0.000043280525,0.000013405347,0.0000034553273,0.0000029137607,0.000120384066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993228,0.00012245747,0.00031715096,0.00010227118,0.00002941202,0.000105934145],"domain_scores_gemma":[0.998867,0.0007939011,0.00008497189,0.00022757954,0.000021938169,0.0000046207706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026747289,0.0000487711,0.00009510803,0.00006391828,0.0009511887,0.0003241284,0.00050925364,0.000022640734,0.00006606976],"category_scores_gemma":[0.000069263515,0.000034601297,0.000025946565,0.000296019,0.00087779574,0.000111250054,0.00013079832,0.00013906545,0.0000027875835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.2957683e-7,0.000016148186,0.000087138236,0.000020411706,0.0000038781523,0.0000030944514,0.013596801,0.0000027731494,2.1271603e-7,0.98069674,0.000059144495,0.005512847],"study_design_scores_gemma":[0.000008672699,0.000016599186,0.0011403116,0.000008408432,0.0000030903404,0.000007767117,0.019368388,0.020995378,2.3809648e-7,0.94972444,0.0086709075,0.000055820627],"about_ca_topic_score_codex":0.0027359878,"about_ca_topic_score_gemma":0.0076719313,"teacher_disagreement_score":0.38424057,"about_ca_system_score_codex":0.000017901544,"about_ca_system_score_gemma":0.000023451312,"threshold_uncertainty_score":0.73158705},"labels":[],"label_agreement":null},{"id":"W4402218122","doi":"10.1016/j.jedc.2024.104958","title":"Living arrangements and labor market volatility of young workers","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Alliance de recherche numérique du Canada; Institució Catalana de Recerca i Estudis Avançats","keywords":"Economics; Volatility (finance); Labour economics; Financial economics","score_opus":0.00813710720826489,"score_gpt":0.21362880390908368,"score_spread":0.2054916967008188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402218122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98279727,0.0064262934,0.0040253145,0.0005784579,0.0010721786,0.00012162076,0.0005876989,0.00000785018,0.0043833265],"genre_scores_gemma":[0.9979426,0.0010961678,0.00023061801,0.00006264073,0.0001551915,0.0000024461806,0.0000017649287,0.00002007569,0.00048844056],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983907,0.000035774374,0.0011003125,0.00024440303,0.00003450451,0.00019435566],"domain_scores_gemma":[0.9987854,0.00027355633,0.00062604516,0.000160646,0.000044487093,0.00010990349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184466,0.0001572682,0.00060571823,0.00022974872,0.00004663576,0.00016843544,0.00014541202,0.000088627574,0.00018066168],"category_scores_gemma":[0.00008741164,0.00015854952,0.00014512682,0.000075080665,0.000079538746,0.00030983417,0.000051838084,0.00019718485,0.0000025866173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009150515,0.0000385814,0.82849014,0.00014100975,0.0004181294,0.000011872721,0.000193702,0.00004113418,0.000009959237,0.16576055,0.00009873671,0.004704687],"study_design_scores_gemma":[0.0008823252,0.00012268056,0.3701708,0.00016317792,0.000058493966,0.000038729526,0.00017244573,0.5617782,5.440107e-7,0.06547838,0.0009161673,0.00021808136],"about_ca_topic_score_codex":0.00014947169,"about_ca_topic_score_gemma":0.0001475473,"teacher_disagreement_score":0.56173706,"about_ca_system_score_codex":0.00016121771,"about_ca_system_score_gemma":0.000051446437,"threshold_uncertainty_score":0.6465462},"labels":[],"label_agreement":null},{"id":"W4402226898","doi":"10.1108/ijssp-06-2024-0245","title":"Exploring unemployment persistence: a probabilistic analysis in 20 OECD countries to understand its social implications","year":2024,"lang":"en","type":"article","venue":"International Journal of Sociology and Social Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Unemployment; Economics; Probabilistic logic; Economic geography; Development economics; Sociology; Political science; Demographic economics; Economic growth; Computer science","score_opus":0.1520558414393848,"score_gpt":0.3402726019831484,"score_spread":0.1882167605437636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402226898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92571884,0.0004981499,0.0008825744,0.07137285,0.00035810965,0.00006518737,0.00035823573,0.000007998894,0.0007380434],"genre_scores_gemma":[0.9979017,0.00036929065,0.000037794453,0.00076888443,0.0008032779,0.0000083330815,0.000010519125,0.0000073590068,0.00009283525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900377,0.00004103285,0.0005582999,0.00017068874,0.00006234842,0.00016388364],"domain_scores_gemma":[0.99948746,0.00010925481,0.0001933579,0.00003658219,0.00012898433,0.00004433403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007480606,0.00008897224,0.00031335742,0.00067886926,0.0001250821,0.000092734146,0.00019134102,0.00009010367,0.00005578044],"category_scores_gemma":[0.000104668135,0.0000941131,0.0001780723,0.00023531093,0.00014266481,0.00021639038,0.000053042633,0.00019419314,0.000012530537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032311487,0.00003553643,0.018482096,0.000016816752,0.0006684399,0.000009470831,0.022922896,0.000101265214,0.00000844371,0.9572465,0.000084627296,0.00039160915],"study_design_scores_gemma":[0.00046300952,0.000074099415,0.29565993,0.000019044885,0.00008429405,0.00000956667,0.003310301,0.00052295724,0.0000020256243,0.694144,0.005488266,0.00022252441],"about_ca_topic_score_codex":0.00011822891,"about_ca_topic_score_gemma":0.000085903725,"teacher_disagreement_score":0.27717784,"about_ca_system_score_codex":0.0005569618,"about_ca_system_score_gemma":0.0001204132,"threshold_uncertainty_score":0.3837821},"labels":[],"label_agreement":null},{"id":"W4402812165","doi":"10.2139/ssrn.4966492","title":"Labor Market Innovation: The Impact of Male Scarcity on Female Employment in Portugal's Salinas","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scarcity; Economics; Labour economics; Business; Market economy","score_opus":0.025467065582415436,"score_gpt":0.27935120047332,"score_spread":0.25388413489090456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402812165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778061,0.0069326707,0.00023756069,0.001933428,0.00075260835,0.0003832675,0.0006592967,0.000016662387,0.01127844],"genre_scores_gemma":[0.9901202,0.0057950933,0.000028484963,0.000097429984,0.00032703616,0.00002878946,0.000038828755,0.000055404318,0.0035087566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99607587,0.00012426806,0.0016516866,0.00055279623,0.00014748487,0.0014479158],"domain_scores_gemma":[0.9977664,0.00010007542,0.0012361197,0.00067476026,0.00016799488,0.00005465674],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009406499,0.00037638986,0.0007776067,0.0007237903,0.00008955304,0.00016780455,0.0007080073,0.00029132908,0.00044392576],"category_scores_gemma":[0.00023442939,0.00029638666,0.00044078662,0.00094059634,0.00007136177,0.000075543125,0.00044319956,0.0048978487,0.000035013574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014736773,0.00021326239,0.17276993,0.000070506496,0.000494974,0.00001520865,0.00017545932,0.0010126375,0.000003130304,0.8230009,0.00029813673,0.0017985019],"study_design_scores_gemma":[0.00037734993,0.00024497797,0.12778825,0.00013410539,0.000015400672,0.00004639281,0.00011265933,0.0012475735,0.0000044422445,0.8694338,0.00030429196,0.00029071246],"about_ca_topic_score_codex":0.0021108377,"about_ca_topic_score_gemma":0.0009461691,"teacher_disagreement_score":0.046432965,"about_ca_system_score_codex":0.003184314,"about_ca_system_score_gemma":0.0023014776,"threshold_uncertainty_score":0.9999488},"labels":[],"label_agreement":null},{"id":"W4402836919","doi":"10.1080/03075079.2024.2406391","title":"Can a work-readiness program mitigate unemployment scarring: the case of a co-operative education job market","year":2024,"lang":"en","type":"article","venue":"Studies in Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Council of Ontario Universities","keywords":"Higher education; Unemployment; Labour economics; Work (physics); Job market; Job placement; Business; Psychology; Economics; Pedagogy; Economic growth; Vocational education; Engineering","score_opus":0.067858995766062,"score_gpt":0.3656543217999165,"score_spread":0.2977953260338545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402836919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95133877,0.017007641,0.0000037878704,0.0079088975,0.0042624893,0.0007666924,0.00009833181,0.000038167364,0.018575229],"genre_scores_gemma":[0.9908484,0.0005974279,0.0001949131,0.00018035487,0.00025104405,0.0009319711,0.00002236653,0.000021040369,0.0069524543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877197,0.000070367336,0.0005689209,0.00035859738,0.000036689966,0.00019343704],"domain_scores_gemma":[0.9992199,0.00015200279,0.00016227008,0.00030810956,0.00011896429,0.00003878445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077655166,0.00016010474,0.0002834915,0.00019289998,0.00010407751,0.0000901011,0.00013736,0.000053371714,0.00014497804],"category_scores_gemma":[0.000078695266,0.00013189614,0.0000679872,0.0007015914,0.00016771829,0.00011660811,0.00005400005,0.00014537666,0.000009992104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003064128,0.00071523857,0.15627491,0.00063139177,0.0003440679,0.000020662457,0.013460299,0.000029445297,0.0000026412094,0.7829545,0.010352367,0.03518384],"study_design_scores_gemma":[0.0007302988,0.00026551294,0.3955143,0.0017948009,0.00012914679,0.00007922877,0.01745581,0.0008949653,0.000061814055,0.4159441,0.16588517,0.0012448545],"about_ca_topic_score_codex":0.0012246516,"about_ca_topic_score_gemma":0.00038250312,"teacher_disagreement_score":0.36701038,"about_ca_system_score_codex":0.00039700302,"about_ca_system_score_gemma":0.00020715212,"threshold_uncertainty_score":0.5378569},"labels":[],"label_agreement":null},{"id":"W4403133634","doi":"10.1038/s41597-024-03931-8","title":"Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Russell Sage Foundation","keywords":"Curriculum; Atlas (anatomy); Longitudinal data; Psychology; Mathematics education; Pedagogy; Biology; Sociology; Demography; Anatomy","score_opus":0.07755958872621702,"score_gpt":0.3232781377933296,"score_spread":0.24571854906711257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403133634","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26832736,0.010379807,0.0004936894,0.0034210365,0.01803186,0.00053143257,0.6829043,0.00006339982,0.01584714],"genre_scores_gemma":[0.92412686,0.000057268175,0.0006004828,0.0000729921,0.00015510025,0.0000122318215,0.069787,0.000013269033,0.0051748212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981646,0.000020938756,0.00062826433,0.00084654806,0.00013708237,0.00020259412],"domain_scores_gemma":[0.99854404,0.00006947519,0.00017237035,0.001081837,0.00007657653,0.000055680895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002808381,0.00010990569,0.00020795292,0.00032469706,0.000059200847,0.00033090264,0.00085927255,0.00005783172,0.0014198002],"category_scores_gemma":[0.00016871592,0.00011272148,0.000037079273,0.0009877556,0.00014985619,0.0007878382,0.00036611088,0.00012434334,0.00036077065],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034607083,0.00060432724,0.029986406,0.00011261785,0.000032086795,0.0000055474493,0.000065693355,0.000029724863,0.00001193703,0.6197879,0.34782496,0.0015353952],"study_design_scores_gemma":[0.00015958404,0.000007944679,0.09182623,0.00011094096,0.000009271846,0.0000029414448,0.000015687585,0.007643374,0.000006790991,0.11308172,0.78691816,0.0002173134],"about_ca_topic_score_codex":0.00021014572,"about_ca_topic_score_gemma":0.00016581318,"teacher_disagreement_score":0.65579945,"about_ca_system_score_codex":0.000097670134,"about_ca_system_score_gemma":0.00023307679,"threshold_uncertainty_score":0.99949306},"labels":[],"label_agreement":null},{"id":"W4403309236","doi":"10.1016/j.labeco.2024.102637","title":"Distribution of vacancies and new hires across employers: Implications for job offers, skill requirements, and employers’ search outcomes","year":2024,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Labour economics; Distribution (mathematics); Economics; Business; Job loss; Unemployment; Economic growth","score_opus":0.06792147962272814,"score_gpt":0.313792450318368,"score_spread":0.24587097069563985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403309236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781012,0.0018093968,0.004776729,0.0038663489,0.0003179816,0.00034173013,0.010643414,0.000044043685,0.000099133904],"genre_scores_gemma":[0.9956738,0.002381426,0.00073205,0.00016526933,0.00009097827,0.00003363348,0.00014616385,0.0000348814,0.00074180134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984219,0.000012563868,0.0006882473,0.0005043166,0.000018862862,0.00035408698],"domain_scores_gemma":[0.999082,0.00023243179,0.00017001957,0.0003244058,0.00005406769,0.00013705657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007627361,0.00018852367,0.00046290984,0.00008593528,0.00014782626,0.00027195137,0.000173854,0.0001226799,0.000019158651],"category_scores_gemma":[0.00013560671,0.00020878015,0.00010845278,0.00013451294,0.00011740661,0.00038547753,0.00014490238,0.00010356382,0.0000059938257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011551987,0.000015069214,0.3708389,0.00011531532,0.00009305553,1.5360605e-7,0.00037884535,0.000014381952,0.000008873224,0.6262772,0.000082277365,0.0021643257],"study_design_scores_gemma":[0.0004060234,0.00005012796,0.6145177,0.000017824952,0.000011520288,0.0000015618327,0.00010890617,0.0003046538,0.000028842223,0.3732549,0.011103248,0.00019470394],"about_ca_topic_score_codex":0.0011462441,"about_ca_topic_score_gemma":0.0003937375,"teacher_disagreement_score":0.25302234,"about_ca_system_score_codex":0.00016386146,"about_ca_system_score_gemma":0.000067512796,"threshold_uncertainty_score":0.85138077},"labels":[],"label_agreement":null},{"id":"W4403423710","doi":"10.1007/978-3-031-67604-8_4","title":"A Literature Review on the Effects of the Minimum Wage: From Employment to Well-Being","year":2024,"lang":"en","type":"review","venue":"Contributions to economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Minimum wage; Labour economics; Wage; Economics; Demographic economics","score_opus":0.01711055045366394,"score_gpt":0.2750511995289155,"score_spread":0.25794064907525155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403423710","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041859632,0.97202545,0.00009886719,0.0069275536,0.0027000008,0.003483061,0.0124117285,0.00003076269,0.001903985],"genre_scores_gemma":[0.00049161597,0.9924575,0.00003205853,0.0041460106,0.00035879912,0.0007421403,0.0002580851,0.00007790497,0.0014358618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99661875,0.00018307894,0.0018138617,0.0008871008,0.00004923661,0.00044797835],"domain_scores_gemma":[0.9959556,0.0011165835,0.0008045612,0.0018418569,0.000102200815,0.00017920499],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001400467,0.00058036234,0.0023298587,0.000245825,0.00019714903,0.0002756285,0.0012489267,0.000325846,0.00009100189],"category_scores_gemma":[0.0018857358,0.0003778796,0.0012323403,0.00093223155,0.000049423394,0.000067923094,0.0005809143,0.0007284,0.0013144629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006627973,0.000088815774,0.000012255877,0.012459608,0.0006734114,0.000007439719,0.00016233679,0.000006035573,1.4275756e-7,0.92859495,0.016900156,0.04108821],"study_design_scores_gemma":[0.00010120248,0.000049179507,0.00001616183,0.0503079,0.00041346482,0.000002151418,0.0000019053036,0.000020677175,0.0000017597742,0.033373278,0.915316,0.00039633177],"about_ca_topic_score_codex":0.000060796305,"about_ca_topic_score_gemma":0.00003864425,"teacher_disagreement_score":0.89841586,"about_ca_system_score_codex":0.00085677113,"about_ca_system_score_gemma":0.00016237325,"threshold_uncertainty_score":0.9998673},"labels":[],"label_agreement":null},{"id":"W4403510938","doi":"10.2139/ssrn.4954019","title":"The Cyclicality of Hiring, Separation and Hiring Wage across Experience and Tenure Levels","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Separation (statistics); Wage; Labour economics; Economics; Wage growth; Business; Demographic economics; Mathematics; Statistics","score_opus":0.026786952404919847,"score_gpt":0.30438312072859525,"score_spread":0.2775961683236754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403510938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96749836,0.027929708,0.0021660062,0.0008743,0.00048654334,0.00016267845,0.00019755919,0.000015984275,0.0006688589],"genre_scores_gemma":[0.9819956,0.016926393,0.000054962107,0.000029178114,0.00017330762,0.000013843505,0.0000043732402,0.000025245436,0.000777112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974106,0.000054946304,0.000877005,0.00048083242,0.0000801896,0.0010964046],"domain_scores_gemma":[0.99876285,0.000092874514,0.0006588479,0.0003488762,0.000060591265,0.000075980846],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004727284,0.0002316499,0.0004478457,0.00006679818,0.00032302432,0.00041532848,0.00027613837,0.00022267304,0.000006449541],"category_scores_gemma":[0.00018472823,0.00019239854,0.00013083966,0.00010718123,0.00018640928,0.00011079678,0.00066887727,0.0025380102,0.0000033961155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003617824,0.000028439825,0.021806598,0.0001276194,0.00024803454,0.000003957962,0.0025465684,0.000051178322,0.000047641894,0.9578556,0.000010619935,0.017237553],"study_design_scores_gemma":[0.00020274185,0.000047066012,0.0249597,0.00006607294,0.000014039099,0.00006049762,0.0005705867,0.0022586223,0.000021437825,0.9700667,0.0014969377,0.00023556859],"about_ca_topic_score_codex":0.00028136768,"about_ca_topic_score_gemma":0.0007175839,"teacher_disagreement_score":0.017001985,"about_ca_system_score_codex":0.000436662,"about_ca_system_score_gemma":0.00026723824,"threshold_uncertainty_score":0.9997632},"labels":[],"label_agreement":null},{"id":"W4403632581","doi":"10.2139/ssrn.4996049","title":"The Minimum Wage and Canadian Employment Dynamics","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Economics; Wage; Labour economics; Dynamics (music); Sociology","score_opus":0.011491925131231937,"score_gpt":0.21897517784764228,"score_spread":0.20748325271641035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403632581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81269735,0.12384065,0.001547437,0.029917225,0.0054681194,0.00058826606,0.0013535194,0.00006167824,0.024525782],"genre_scores_gemma":[0.94661766,0.04526674,0.00002775736,0.0001814056,0.00038877776,0.000019561121,0.000037849044,0.00006745367,0.0073927674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960414,0.000051309846,0.0008341202,0.0005372905,0.00007607739,0.0024597999],"domain_scores_gemma":[0.998713,0.00007673274,0.00041191236,0.00048422877,0.000056850182,0.00025728735],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0051621147,0.00032870984,0.00044192537,0.00028627078,0.00048945786,0.0008501357,0.00061967946,0.000306646,0.000023421739],"category_scores_gemma":[0.0001110912,0.00028114775,0.0002306605,0.00014518663,0.00009029348,0.000052459884,0.000495703,0.0050587975,0.00007507711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008603675,0.000011064063,0.0030262303,0.000021615488,0.00036606126,0.000012677111,0.00010204444,0.000021300064,1.2418818e-7,0.98739564,0.00013534013,0.008899318],"study_design_scores_gemma":[0.00015282471,0.0000540633,0.0009774403,0.000036732243,0.000028442648,0.00007791834,0.00027137742,0.007233022,1.3819847e-7,0.97361594,0.017214105,0.0003379868],"about_ca_topic_score_codex":0.057632983,"about_ca_topic_score_gemma":0.6565633,"teacher_disagreement_score":0.5989303,"about_ca_system_score_codex":0.0051640333,"about_ca_system_score_gemma":0.0029175938,"threshold_uncertainty_score":0.99996406},"labels":[],"label_agreement":null},{"id":"W4403764014","doi":"10.24908/pceea.2023.17102","title":"Gender Parity and Program Choice: Which Engineering Programs Women Students Prefer to Enter","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Parity (physics); Mathematics education; Psychology; Physics; Particle physics","score_opus":0.013357433428864716,"score_gpt":0.2375487361563331,"score_spread":0.22419130272746837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403764014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994448,0.00024818673,0.000025577467,0.0018596734,0.0012097467,0.0006128711,0.00006168619,0.00010451651,0.0014297297],"genre_scores_gemma":[0.9977348,0.000020121826,0.0005149509,0.00013154994,0.00015837845,0.00031928797,0.000009452521,0.000036155536,0.0010753181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883556,0.0000026753423,0.00036192467,0.00030585608,0.00012066377,0.0003733236],"domain_scores_gemma":[0.999254,0.000027980266,0.00014259217,0.00010213662,0.00021237275,0.00026090178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009107999,0.00014947965,0.00020017865,0.00029844427,0.000074292955,0.0005126051,0.00026381164,0.00012890538,0.000023821449],"category_scores_gemma":[0.0007516956,0.00015902982,0.000051834704,0.0006820895,0.000005932437,0.00024037842,0.000059831797,0.00021576123,0.00001215106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001600787,0.00011516624,0.91973734,0.00061448076,0.00020554656,7.3955135e-8,0.0027553637,0.00015251219,0.000047639965,0.0727813,0.0014400802,0.0021489174],"study_design_scores_gemma":[0.0001248592,0.00002996361,0.87597567,0.00014764555,0.00001593841,0.0000010161567,0.00009287609,0.0072076004,0.0000200811,0.0018333449,0.114248455,0.0003025465],"about_ca_topic_score_codex":0.003058286,"about_ca_topic_score_gemma":0.0018286721,"teacher_disagreement_score":0.11280838,"about_ca_system_score_codex":0.0020680642,"about_ca_system_score_gemma":0.000148365,"threshold_uncertainty_score":0.6485048},"labels":[],"label_agreement":null},{"id":"W4403779580","doi":"10.33423/jabe.v26i5.7297","title":"Societal Impact of the Tennessee Small Business Administration: Lowered Barriers to Entry, State Growth, and Economic Freedom","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economic freedom; Administration (probate law); State (computer science); Small business; Economic impact analysis; Business; Economics; Natural resource economics; Political science; Market economy; Marketing; Computer science; Law; Microeconomics","score_opus":0.011964401196167034,"score_gpt":0.2125309524021853,"score_spread":0.20056655120601827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99405414,0.000512299,0.00079938397,0.0015394025,0.0010431593,0.0001836298,0.00045639477,0.000007735129,0.0014038298],"genre_scores_gemma":[0.9972999,0.0019311655,0.0003511217,0.000104930645,0.0002306856,0.000005033877,0.0000054657958,0.000032965094,0.000038727314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99832183,0.000008542788,0.0010794213,0.00031836325,0.000029483233,0.00024234485],"domain_scores_gemma":[0.9987038,0.00008381254,0.00066521316,0.00022169168,0.00010159403,0.00022392464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007111985,0.00023709024,0.0006276579,0.00018951515,0.00011085596,0.00037411464,0.00028907973,0.00011050225,0.000073212475],"category_scores_gemma":[0.00006900589,0.00019314981,0.00018621827,0.0002532682,0.00013897278,0.00030463265,0.0001437598,0.00018107181,0.0000051673505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017510313,0.00024563703,0.12723757,0.0013825463,0.0019946254,0.000037061873,0.0028558045,0.028670881,0.0009049475,0.8265357,0.0009856814,0.0073984824],"study_design_scores_gemma":[0.0032998244,0.0003546055,0.5843714,0.00026650433,0.00017469644,0.000271102,0.00059222383,0.014384262,0.0003529138,0.38911226,0.0054125837,0.0014076441],"about_ca_topic_score_codex":0.00029748084,"about_ca_topic_score_gemma":0.00014800671,"teacher_disagreement_score":0.4571338,"about_ca_system_score_codex":0.00016421943,"about_ca_system_score_gemma":0.00041415874,"threshold_uncertainty_score":0.78764206},"labels":[],"label_agreement":null},{"id":"W4403998480","doi":"10.1016/j.econlet.2024.112044","title":"High school to work: How did Millennials fare?","year":2024,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Work (physics); Economics; Marketing; Sociology; Business; Engineering","score_opus":0.01878897562691306,"score_gpt":0.2052193448528744,"score_spread":0.18643036922596135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403998480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90656143,0.00080993643,0.0062131695,0.07898304,0.0035589866,0.0003110297,0.0006600673,0.00015369189,0.0027486158],"genre_scores_gemma":[0.9836069,0.0003131359,0.0020865223,0.011045329,0.0007787618,0.00006704909,0.00005216193,0.000087223154,0.0019629672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978022,0.000029128772,0.000695001,0.0008852306,0.000028247985,0.0005602003],"domain_scores_gemma":[0.9987489,0.00014430484,0.00015967817,0.000643426,0.000016688798,0.0002870215],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011838723,0.0003007293,0.00056167395,0.00040600548,0.0001035465,0.00083766127,0.00045755584,0.00012991863,0.0007358391],"category_scores_gemma":[0.00016301236,0.00036029908,0.00023919312,0.0003423854,0.000046175155,0.00040531214,0.00016193879,0.0002688144,0.0031646697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054980766,0.000056584606,0.025878388,0.00010457399,0.0003690527,0.000055075005,0.00040192695,0.0021650612,0.00022915371,0.8989401,0.06639754,0.005347562],"study_design_scores_gemma":[0.00065327226,0.00005954933,0.03231723,0.00009052604,0.000021869395,0.000007560324,0.000049825165,0.0022562689,0.00013400585,0.07432196,0.88854253,0.0015454238],"about_ca_topic_score_codex":0.00019445202,"about_ca_topic_score_gemma":0.00003578981,"teacher_disagreement_score":0.82461816,"about_ca_system_score_codex":0.00045868516,"about_ca_system_score_gemma":0.0000307398,"threshold_uncertainty_score":0.9998849},"labels":[],"label_agreement":null},{"id":"W4404047305","doi":"10.1080/0309877x.2024.2418905","title":"Postsecondary pathways and graduate earnings: does transfer make cents?","year":2024,"lang":"en","type":"article","venue":"Journal of Further and Higher Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Cape Breton University; York University; University of Toronto","funders":"","keywords":"Earnings; Graduate students; Psychology; Postsecondary education; Academic advising; Transfer (computing); Higher education; Demographic economics; Accounting; Pedagogy; Economics; Computer science; Economic growth","score_opus":0.028530135880044598,"score_gpt":0.246597639147621,"score_spread":0.2180675032675764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404047305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798587,0.010104317,0.00015182656,0.0042754547,0.0020258285,0.0000526035,0.00005278609,0.000009011882,0.0034694916],"genre_scores_gemma":[0.99591666,0.0018290249,0.00012406388,0.000313156,0.00036510106,0.0000020868476,0.000004147271,0.00001595818,0.0014298251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992664,0.000020026333,0.00041544889,0.00015281733,0.000038802962,0.000106536616],"domain_scores_gemma":[0.9996522,0.000038628783,0.00010238604,0.00007520501,0.000052692267,0.00007887332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054227863,0.00009346117,0.00019650042,0.00016819716,0.00004365946,0.00018211368,0.000057588262,0.000055279143,0.00031780434],"category_scores_gemma":[0.000010696514,0.000072425246,0.000063350686,0.000091730144,0.00003176598,0.00023480285,0.000010349985,0.00019034138,0.000008131201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010228073,0.00035673668,0.1660318,0.0005280412,0.000346695,0.000022037791,0.015447348,0.0000025065851,0.00041616068,0.68973845,0.00093787676,0.12607007],"study_design_scores_gemma":[0.00030148088,0.000100943806,0.69638264,0.000104143364,0.0000268502,0.00003706037,0.00036543157,0.000048211565,0.000021976366,0.21529078,0.08713534,0.00018516273],"about_ca_topic_score_codex":0.0000457099,"about_ca_topic_score_gemma":0.0000059418294,"teacher_disagreement_score":0.5303508,"about_ca_system_score_codex":0.000032568543,"about_ca_system_score_gemma":0.000052613592,"threshold_uncertainty_score":0.34797347},"labels":[],"label_agreement":null},{"id":"W4404069665","doi":"10.2139/ssrn.5010185","title":"The Effects of Partial Employment Protection Reforms: Evidence from Italy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics","score_opus":0.01948843561285899,"score_gpt":0.24196182867365448,"score_spread":0.2224733930607955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404069665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88846874,0.09377096,0.010372544,0.0019887683,0.00414251,0.00068194297,0.00010471266,0.000038378657,0.00043147113],"genre_scores_gemma":[0.953591,0.044668432,0.00003252483,0.00002044,0.00064772234,0.00009062405,0.000008040473,0.000043619923,0.0008976186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99679154,0.00010062811,0.0011519785,0.0005140799,0.00013875938,0.0013030322],"domain_scores_gemma":[0.99791706,0.00022409487,0.0011202361,0.0005844856,0.00008516866,0.00006896483],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0047602532,0.00028539207,0.00052972976,0.00014195642,0.00020746884,0.00028411872,0.00065761514,0.00026598774,0.000013597656],"category_scores_gemma":[0.00068945717,0.00021399948,0.00040950594,0.00016938923,0.00007103252,0.000119690696,0.00053241325,0.004086111,0.000054525644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021012734,0.00010846239,0.0027719561,0.0003890152,0.0015888803,0.000009846483,0.00052572205,0.00013932303,0.00014061047,0.9643251,0.000042243613,0.02974877],"study_design_scores_gemma":[0.0002083119,0.00027361486,0.0011660922,0.00050454866,0.000057942743,0.000010598846,0.00006899615,0.0014585545,0.00017011982,0.9948516,0.0009783569,0.0002512742],"about_ca_topic_score_codex":0.0031484794,"about_ca_topic_score_gemma":0.0011580014,"teacher_disagreement_score":0.06512226,"about_ca_system_score_codex":0.0021071099,"about_ca_system_score_gemma":0.0010371495,"threshold_uncertainty_score":0.9982115},"labels":[],"label_agreement":null},{"id":"W4404160980","doi":"10.1027/1866-5888/a000359","title":"Should Faking Ability on Pre-Employment Tests Be Reviled or Revered in Retail Sales?","year":2024,"lang":"en","type":"article","venue":"Journal of Personnel Psychology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Saint Mary's University","funders":"","keywords":"Psychology; Retail sales; Marketing; Business; Social psychology; Advertising","score_opus":0.1421461730567073,"score_gpt":0.3639652226681614,"score_spread":0.2218190496114541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404160980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792285,0.0024359054,0.00088229764,0.009953044,0.0020092248,0.00020599364,0.000109933826,0.000022132346,0.0051529487],"genre_scores_gemma":[0.9958319,0.00089243095,0.000635626,0.0016707366,0.00032529034,0.00000812458,0.0000042629204,0.000032221385,0.00059937214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975411,0.00012436634,0.001419454,0.00048106737,0.000093842944,0.00034012817],"domain_scores_gemma":[0.99853253,0.00032059578,0.00056324096,0.0004119213,0.000063269144,0.000108450826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034911272,0.00020514645,0.00069499627,0.00048051696,0.000047384616,0.0000841079,0.000353854,0.0002218401,0.000824118],"category_scores_gemma":[0.00078435516,0.00017423833,0.0002572745,0.000461505,0.00006743265,0.00021470395,0.00003966195,0.000725179,0.00005230003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006931384,0.0040112697,0.61192554,0.0015275191,0.0012168733,0.0037759065,0.019188449,0.0005601469,0.0015672385,0.29037073,0.02300763,0.035917297],"study_design_scores_gemma":[0.0047135307,0.0027293134,0.7133752,0.0011835537,0.00005975063,0.00049081526,0.00073226594,0.0032578306,0.000015274813,0.1294997,0.14290088,0.0010418674],"about_ca_topic_score_codex":0.00006178649,"about_ca_topic_score_gemma":0.00014685825,"teacher_disagreement_score":0.16087101,"about_ca_system_score_codex":0.00033487557,"about_ca_system_score_gemma":0.000053409814,"threshold_uncertainty_score":0.9023514},"labels":[],"label_agreement":null},{"id":"W4404867375","doi":"10.54254/2754-1169/123/2024mur0135","title":"Analysis of the Impact of Educational Attainment on Nominal Wages and Wage Growth Rates","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Wage growth; Wage; Educational attainment; Labour economics; Demographic economics; Economic growth","score_opus":0.013918190156228246,"score_gpt":0.2977843301683871,"score_spread":0.2838661400121589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404867375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658689,0.002331477,0.00003873116,0.0014985983,0.00012471924,0.000094986484,0.0001600893,0.0000020055602,0.029880498],"genre_scores_gemma":[0.99718463,0.0024214583,0.00015260141,0.000069153386,0.000017382532,0.000006944981,0.0000032424703,0.0000030873484,0.00014147426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99901074,0.000020052685,0.00042651262,0.00030479385,0.000025023712,0.00021286943],"domain_scores_gemma":[0.99928683,0.00042231724,0.00011935928,0.000116623225,0.0000073603405,0.000047499034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074948696,0.00009402521,0.0002743702,0.0003231554,0.000053484586,0.00005037298,0.00017335225,0.000022607484,0.000056914054],"category_scores_gemma":[0.00005394289,0.00006857779,0.00010414356,0.0004228913,0.00042953852,0.00023583656,0.00009841674,0.000048962207,0.0000013146376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035425426,0.000025229736,0.38307202,0.000027137308,0.00007036197,9.9330286e-8,0.000029400271,0.00051906967,1.325776e-7,0.6155302,0.0000015734335,0.00072121166],"study_design_scores_gemma":[0.000060459228,0.000041719857,0.518641,0.000018219485,0.000021976228,1.5665796e-7,0.000058622154,0.016192103,0.0000042898196,0.46472296,0.00017068983,0.00006779955],"about_ca_topic_score_codex":0.0003240652,"about_ca_topic_score_gemma":0.0000714714,"teacher_disagreement_score":0.15080725,"about_ca_system_score_codex":0.00007916647,"about_ca_system_score_gemma":0.000015121483,"threshold_uncertainty_score":0.27965212},"labels":[],"label_agreement":null},{"id":"W4405334565","doi":"10.1051/shsconf/202420802006","title":"Effect of Artificial Intelligence on Job Market","year":2024,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Job market; Artificial intelligence; Business; Computer science; Engineering; Mechanical engineering; Work (physics)","score_opus":0.032091574088490275,"score_gpt":0.2716578078685628,"score_spread":0.23956623378007252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405334565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5376767,0.0010638654,0.0020552462,0.00019018158,0.00094023824,0.00016051189,0.00034880184,0.00003165006,0.45753282],"genre_scores_gemma":[0.99930537,0.0002711625,0.000052607025,0.000016900203,0.00006031195,0.000008442406,0.000005366041,0.000009330402,0.0002704957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987889,0.00006420967,0.0006473475,0.0002821254,0.00006189433,0.00015552995],"domain_scores_gemma":[0.99898946,0.0005217389,0.00018050801,0.00023244013,0.000037512713,0.000038329174],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020683405,0.00013085092,0.00042388268,0.00021669797,0.000021166681,0.000056095305,0.00024259397,0.000082069404,0.0016081164],"category_scores_gemma":[0.00029556672,0.00011454863,0.00013609021,0.00026134643,0.0001244804,0.00007868233,0.000038877242,0.00012289322,0.00007051568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009299856,0.000024659137,0.011149051,0.00021934406,0.00003431509,0.0000024250799,0.00002532657,0.000009246671,0.000037023157,0.94459414,0.00007833955,0.04373312],"study_design_scores_gemma":[0.00015425545,0.0017413868,0.011255019,0.00044297846,0.000032385768,0.0000015258388,0.00006994481,0.08717159,0.007986746,0.84324294,0.0474059,0.0004953107],"about_ca_topic_score_codex":0.00039452445,"about_ca_topic_score_gemma":0.000043181553,"teacher_disagreement_score":0.4616287,"about_ca_system_score_codex":0.00001748309,"about_ca_system_score_gemma":0.00036441832,"threshold_uncertainty_score":0.99930453},"labels":[],"label_agreement":null},{"id":"W4405347683","doi":"10.1086/734382","title":"Are Routine Jobs Moving South? Evidence from Changes in the Occupational Structure of Employment in the United States and Mexico","year":2024,"lang":"en","type":"article","venue":"Journal of Human Capital","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Labour economics; Demographic economics; Occupational mobility; Business; Economics","score_opus":0.04712631205911157,"score_gpt":0.27590236571264976,"score_spread":0.22877605365353818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405347683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99368536,0.0039164885,0.000038880124,0.0017365516,0.00012239201,0.00007574665,0.0004123684,0.0000018072348,0.000010416515],"genre_scores_gemma":[0.99931866,0.00025958713,0.000035092977,0.00024560772,0.000110780406,0.0000012667568,0.000016730077,0.0000065491813,0.0000057400166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906623,0.00007574073,0.00053418474,0.00012027947,0.000097903736,0.00010564875],"domain_scores_gemma":[0.99902385,0.00032188138,0.00047460894,0.000119933706,0.00004146338,0.0000182804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011407506,0.000088491055,0.00022223115,0.00026649793,0.000040207182,0.00013025188,0.0002419026,0.000041403593,0.00006892405],"category_scores_gemma":[0.00014763771,0.000056164085,0.000048513968,0.00021840974,0.000043910753,0.00015403939,0.000035934238,0.0002740931,6.01346e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031197702,0.000039863447,0.94629496,0.00004103298,0.000043628017,0.000052652253,0.028333137,0.00030155742,0.000086208354,0.024658388,0.000058416932,0.00005893064],"study_design_scores_gemma":[0.00021921033,0.00008181469,0.9167026,0.00018559178,0.000007882211,0.0000073293672,0.0038948094,0.0012494221,0.000016842696,0.077492505,0.00006950144,0.00007249199],"about_ca_topic_score_codex":0.0007637599,"about_ca_topic_score_gemma":0.002083008,"teacher_disagreement_score":0.052834116,"about_ca_system_score_codex":0.00005349117,"about_ca_system_score_gemma":0.000014704245,"threshold_uncertainty_score":0.22903049},"labels":[],"label_agreement":null},{"id":"W4405363340","doi":"10.1108/smr-04-2024-0920","title":"Labor Market Frictions and Firms' Build-Borrow-Buy Choices","year":2024,"lang":"en","type":"article","venue":"Strategic Management Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Labour economics; Microeconomics; Economics; Commerce","score_opus":0.02917207534129767,"score_gpt":0.26366914023856836,"score_spread":0.23449706489727068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405363340","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038428314,0.40587738,0.00026494355,0.0031032083,0.00056661497,0.00053925853,0.0002573774,0.00011880158,0.5854296],"genre_scores_gemma":[0.24699613,0.7296337,0.0006801904,0.0014554914,0.00014109857,0.00015929663,0.000050131377,0.000034627094,0.02084936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841785,0.000036518253,0.000638416,0.00057466293,0.000056906236,0.000275672],"domain_scores_gemma":[0.99928737,0.000049614024,0.00013943452,0.00041452757,0.00002153583,0.0000875343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011931999,0.00021283564,0.0004179216,0.00015190328,0.000103137034,0.00031066875,0.00021719221,0.000053160424,0.0027933004],"category_scores_gemma":[0.000015711714,0.00020224215,0.00012046455,0.0006222759,0.000038321818,0.00022135225,0.00010873566,0.00015593598,0.00026892894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014274207,0.000027539683,0.0010126679,0.00679784,0.00012217171,0.000027820543,0.000009819903,6.6091275e-7,1.701344e-7,0.98335487,0.0038773078,0.004767704],"study_design_scores_gemma":[0.000101564336,0.00002073046,0.0035089967,0.0010628976,0.000062797735,0.0000034681088,0.00003028887,0.0011069583,7.697238e-8,0.2737907,0.72006226,0.00024928452],"about_ca_topic_score_codex":0.00010908969,"about_ca_topic_score_gemma":0.000029281453,"teacher_disagreement_score":0.716185,"about_ca_system_score_codex":0.000049901588,"about_ca_system_score_gemma":0.000011723494,"threshold_uncertainty_score":0.9981183},"labels":[],"label_agreement":null},{"id":"W4405821301","doi":"10.5539/ijef.v17n2p26","title":"Minimum Wage and Effects on Unemployment: The Case of Spain and Its Implications on Simpson’s Paradox and Geographical Mobility","year":2024,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Wage; Labour economics; Demographic economics; Economic growth","score_opus":0.01709679819837756,"score_gpt":0.252045781159567,"score_spread":0.23494898296118943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405821301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98810375,0.005030819,0.00006258061,0.005789313,0.00032235403,0.000120466335,0.00036479175,0.0000024151625,0.00020354046],"genre_scores_gemma":[0.98230934,0.017184906,0.00006435814,0.000302182,0.00009269061,0.0000063918837,0.0000020714967,0.000009431982,0.000028649114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999068,0.000022381659,0.0005359974,0.0002518056,0.000019433755,0.000102359],"domain_scores_gemma":[0.99892896,0.0005455673,0.00030781917,0.00011864756,0.000049654354,0.000049374634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085404085,0.00011746644,0.00026090018,0.00015690606,0.000063014806,0.00013116111,0.00012046214,0.000061739134,0.0000037445786],"category_scores_gemma":[0.000098562195,0.00009799501,0.00006248287,0.000053670712,0.000098020224,0.00014360368,0.00006814347,0.0001762403,8.8449576e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007157336,0.0000620862,0.0074143615,0.000034413995,0.00011223221,0.000050036637,0.00014650461,0.0001473684,0.000005955215,0.9715053,0.000023507842,0.020426663],"study_design_scores_gemma":[0.001781176,0.00088262657,0.20644215,0.0002828029,0.000044653094,0.001122769,0.00007211666,0.11021648,0.00010879388,0.654475,0.024133869,0.00043758718],"about_ca_topic_score_codex":0.000049382954,"about_ca_topic_score_gemma":0.000034019096,"teacher_disagreement_score":0.3170303,"about_ca_system_score_codex":0.000035786004,"about_ca_system_score_gemma":0.00001550021,"threshold_uncertainty_score":0.39961207},"labels":[],"label_agreement":null},{"id":"W4406122174","doi":"10.18374/jabe-24-4.8","title":"UNEMPLOYMENT IN THE UNITED STATES, MEXICO AND CANADA","year":2024,"lang":"en","type":"article","venue":"Journal of Academy of Business and Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Political science; Demographic economics; Economics; Economic growth","score_opus":0.02674912852014705,"score_gpt":0.2265072654971131,"score_spread":0.19975813697696607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406122174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981129,0.004212138,0.000113981616,0.014008001,0.00020593111,0.000051904815,0.00011281722,0.0000014804044,0.00016474568],"genre_scores_gemma":[0.98487407,0.01404083,0.00007403044,0.00090831076,0.000065750035,9.856504e-7,0.00000433009,0.000009414837,0.000022259474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989105,0.000015885093,0.00079147867,0.00012648896,0.00002628146,0.00012938799],"domain_scores_gemma":[0.9993851,0.00014162282,0.00034909288,0.00005436187,0.000023789635,0.00004599359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012143522,0.00009596371,0.00033240044,0.00022605508,0.000029137927,0.00008142787,0.00014871877,0.00006401775,0.0000124843655],"category_scores_gemma":[0.00003544242,0.000076619704,0.00003176974,0.00020046873,0.000049791663,0.00019538318,0.000037293226,0.00022028667,3.2673083e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008589838,0.000077039665,0.23570319,0.00040462916,0.00019881483,0.000023407016,0.0009726416,0.009546313,0.000004372457,0.7476723,0.0014805783,0.0038307991],"study_design_scores_gemma":[0.0009113279,0.00006428364,0.39390373,0.00017895944,0.000029069166,0.00011560769,0.000565564,0.036536664,0.000014109469,0.26838228,0.29896894,0.0003294531],"about_ca_topic_score_codex":0.08301014,"about_ca_topic_score_gemma":0.016577393,"teacher_disagreement_score":0.47929004,"about_ca_system_score_codex":0.00008662844,"about_ca_system_score_gemma":0.00007276121,"threshold_uncertainty_score":0.9250574},"labels":[],"label_agreement":null},{"id":"W4406214194","doi":"10.2139/ssrn.5089954","title":"Household Income, Liquidity, and Optimal Unemployment Insurance","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unemployment; Market liquidity; Economics; Labour economics; Business; Monetary economics; Macroeconomics","score_opus":0.020882585172328168,"score_gpt":0.23817481197981707,"score_spread":0.21729222680748891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406214194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562413,0.022668922,0.01428092,0.0013461089,0.0013704551,0.00029749775,0.00097208837,0.00006076244,0.002761951],"genre_scores_gemma":[0.9412651,0.0552001,0.00031081153,0.0001922507,0.00034105065,0.000024992647,0.000024898063,0.000040867573,0.0025999038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99599177,0.000077532175,0.0011727336,0.00072452956,0.000100989266,0.0019324673],"domain_scores_gemma":[0.9982257,0.00007293796,0.0009189179,0.0005675115,0.00007639201,0.00013854912],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004201415,0.00042412695,0.00085786,0.00038731436,0.00022899674,0.00030206286,0.00070161914,0.00040731567,0.000023089025],"category_scores_gemma":[0.00012997839,0.00047323952,0.00027025762,0.00020405832,0.00008313902,0.00015794252,0.00092805154,0.0044753463,0.000010511893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006694944,0.00011159163,0.11928891,0.00012131476,0.00043989104,0.0000072845833,0.000079569545,0.0023821315,9.893525e-7,0.87559456,0.000045705587,0.0018610893],"study_design_scores_gemma":[0.00074020674,0.00014684524,0.016766166,0.00013445843,0.000024924446,0.00005067466,0.00004601915,0.0015328531,0.0000038564217,0.9762683,0.003715002,0.0005706977],"about_ca_topic_score_codex":0.0005574097,"about_ca_topic_score_gemma":0.00037977757,"teacher_disagreement_score":0.10252274,"about_ca_system_score_codex":0.0015404288,"about_ca_system_score_gemma":0.0012245533,"threshold_uncertainty_score":0.99977195},"labels":[],"label_agreement":null},{"id":"W4406215002","doi":"10.2139/ssrn.5089551","title":"Quantifying the Signaling Role of Education","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Human capital; Earnings; Economics; Counterfactual thinking; Sorting; Incentive; Productivity; Educational attainment; Labour economics; Workforce; Microeconomics; Psychology; Finance","score_opus":0.024122514855173416,"score_gpt":0.26456449693414164,"score_spread":0.24044198207896822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406215002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87498194,0.079748884,0.020908851,0.0017764571,0.002662454,0.00039935432,0.00019604864,0.000025477233,0.01930051],"genre_scores_gemma":[0.9885315,0.009650048,0.00017504579,0.00009606279,0.00030451867,0.000013873978,0.000019489073,0.000016928532,0.001192574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997664,0.000075146825,0.00094803073,0.00030596778,0.000064732754,0.00094213185],"domain_scores_gemma":[0.998065,0.00009458829,0.0012335686,0.00043728904,0.00013502882,0.00003454919],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050231884,0.00019208761,0.00044823566,0.0002429593,0.00017356008,0.00011471293,0.0007040616,0.0001967213,0.00003714465],"category_scores_gemma":[0.0001982099,0.00017108646,0.00030197168,0.0001997034,0.00003805201,0.000075006494,0.00023221782,0.0028346481,0.000008260719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000131832685,0.00006903292,0.012339138,0.000053607157,0.00022066305,9.2291835e-8,0.00021960678,0.0004867643,0.000017685434,0.97696537,0.000010065629,0.009604784],"study_design_scores_gemma":[0.00011277879,0.000023968028,0.0009005133,0.00010141409,0.000026921236,0.000007579169,0.00100154,0.0013760427,0.000027048442,0.99381083,0.0024368248,0.00017454466],"about_ca_topic_score_codex":0.00093735516,"about_ca_topic_score_gemma":0.00045355575,"teacher_disagreement_score":0.11354949,"about_ca_system_score_codex":0.00084059074,"about_ca_system_score_gemma":0.0032497377,"threshold_uncertainty_score":0.9994658},"labels":[],"label_agreement":null},{"id":"W4406232884","doi":"10.2139/ssrn.5091168","title":"Labour Market Dynamics of Minimum Wage Workers","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Wage; Economics; Labour economics; Quarter (Canadian coin); Probit model; Demographic economics; Efficiency wage; Econometrics","score_opus":0.0070853848306974875,"score_gpt":0.21652616598606958,"score_spread":0.2094407811553721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406232884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87587726,0.005629394,0.03519651,0.0027694167,0.00093240745,0.00016309832,0.00019183203,0.000027685965,0.07921241],"genre_scores_gemma":[0.9698861,0.0035332895,0.0001850714,0.00015422139,0.00006796529,0.0000037910972,0.000008679374,0.000021007054,0.026139848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99731094,0.000052797997,0.0008770262,0.00027702554,0.000059114438,0.0014230707],"domain_scores_gemma":[0.99890935,0.00008961891,0.00052671466,0.0003274142,0.00008544862,0.00006144809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038545092,0.00017589823,0.00045198784,0.0003321786,0.00012457604,0.00006181222,0.00046034082,0.00013685314,0.00022613128],"category_scores_gemma":[0.00021549095,0.0001901074,0.00021956237,0.00054628466,0.00006386809,0.00015664077,0.00007844438,0.0010803965,0.00001759959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006625503,0.00007106207,0.12413292,0.00002019102,0.00023877464,0.0000017961811,0.00002544175,0.00001667767,0.000003126598,0.8719157,0.0001591178,0.003348972],"study_design_scores_gemma":[0.0007167907,0.00007496292,0.023151172,0.000030626714,0.000014593996,0.000013125356,0.0005128965,0.0026233937,0.0000037376653,0.968533,0.0041317246,0.00019401658],"about_ca_topic_score_codex":0.000348366,"about_ca_topic_score_gemma":0.0015177809,"teacher_disagreement_score":0.10098174,"about_ca_system_score_codex":0.001129269,"about_ca_system_score_gemma":0.00067797885,"threshold_uncertainty_score":0.7752355},"labels":[],"label_agreement":null},{"id":"W4406676263","doi":"10.2139/ssrn.5102882","title":"Can Paternity Leave Reduce the Gender Earnings Gap?","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Earnings; Business; Demographic economics; Labour economics; Economics; Accounting","score_opus":0.02359651414356252,"score_gpt":0.23921964745832422,"score_spread":0.2156231333147617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406676263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94883525,0.0038276552,0.009381271,0.008327669,0.0007161832,0.0001432757,0.000034295015,0.000029004532,0.02870539],"genre_scores_gemma":[0.9867194,0.0031012716,0.000022730257,0.0006481936,0.00018456463,0.00000716591,0.0000046977516,0.00001767867,0.009294258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99758464,0.00008042082,0.00053457497,0.0002763962,0.000056937755,0.0014670497],"domain_scores_gemma":[0.99914914,0.00006506135,0.00034563543,0.00031969493,0.000065005086,0.000055465025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042138016,0.00015787617,0.0002617612,0.00013866059,0.0004018927,0.00015383108,0.00047988072,0.00009254701,0.00009594467],"category_scores_gemma":[0.0002131642,0.00012953182,0.00016403987,0.00030174112,0.0000611428,0.000107347056,0.00008205691,0.0018485454,0.000050145074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020138463,0.000032057087,0.06319937,0.0000061542955,0.00016442746,0.0000016841168,0.00020333978,0.000026429794,0.000010149612,0.93356776,0.0001438231,0.002624643],"study_design_scores_gemma":[0.00037631782,0.000039703533,0.0324439,0.0000071307772,0.000012379393,0.000032047992,0.0004209095,0.0002899267,0.000011709446,0.9556306,0.010577153,0.00015819508],"about_ca_topic_score_codex":0.00076119084,"about_ca_topic_score_gemma":0.000790766,"teacher_disagreement_score":0.037884183,"about_ca_system_score_codex":0.0008941433,"about_ca_system_score_gemma":0.000645925,"threshold_uncertainty_score":0.80311126},"labels":[],"label_agreement":null},{"id":"W4406772647","doi":"10.1007/s41996-024-00166-y","title":"Explaining the Difference in Income Growth Among Post-Secondary Graduates: An Analysis of Indigenous and Non-Indigenous Early Career Income Growth in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Economics Race and Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Indigenous; Demographic economics; Labour economics; Economics; Biology; Ecology","score_opus":0.011396528157402351,"score_gpt":0.22086586793525015,"score_spread":0.2094693397778478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406772647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783945,0.00075730856,0.00004132832,0.00045228514,0.00011491999,0.0001590023,0.00033440327,0.0000016383369,0.00029965778],"genre_scores_gemma":[0.9972431,0.0022510774,0.00005040596,0.000347647,0.00004541716,0.000005150078,0.000008223548,0.000014780984,0.000034205284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776953,0.00007210109,0.0014790687,0.0002782129,0.000038013568,0.00036307523],"domain_scores_gemma":[0.9981696,0.0003026029,0.0010236665,0.0002539925,0.000112365866,0.00013780037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013618274,0.00021341546,0.0010458789,0.001809245,0.00010905413,0.000118718155,0.0004269698,0.000109812856,0.000007361629],"category_scores_gemma":[0.00017063598,0.0001988997,0.00011193972,0.0008717024,0.00008288739,0.00041093977,0.00012875866,0.0004331784,2.5127875e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055656503,0.000039470167,0.9812332,0.000052505966,0.00028189464,0.000011750104,0.0067961593,0.00030210588,0.000003902862,0.010425094,4.95089e-7,0.00079779845],"study_design_scores_gemma":[0.0006642347,0.00010548257,0.9753524,0.000042791133,0.000046123372,0.0000047008557,0.0008610663,0.00212151,0.000012995279,0.020591965,0.000007427744,0.00018932599],"about_ca_topic_score_codex":0.87777877,"about_ca_topic_score_gemma":0.85725105,"teacher_disagreement_score":0.020527726,"about_ca_system_score_codex":0.00063704705,"about_ca_system_score_gemma":0.0009948883,"threshold_uncertainty_score":0.8110894},"labels":[],"label_agreement":null},{"id":"W4406858757","doi":"10.1086/734998","title":"The Impact of Unemployment Insurance and Unsecured Credit on Business Cycles","year":2025,"lang":"en","type":"article","venue":"Journal of Political Economy Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Unemployment; Business; Business cycle; Economics; Financial system; Actuarial science; Macroeconomics","score_opus":0.01468469417527013,"score_gpt":0.2712021689977566,"score_spread":0.2565174748224865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406858757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706338,0.0009562964,0.00042770826,0.003704096,0.0005485106,0.00013251306,0.00029702001,0.000005352733,0.02329468],"genre_scores_gemma":[0.9986388,0.00051585434,0.00011992557,0.00044291755,0.000165864,0.000004270115,0.0000022736524,0.000016041999,0.000094060386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997698,0.000036374502,0.0016019989,0.00022882846,0.000023870603,0.0004109234],"domain_scores_gemma":[0.9977498,0.00061048183,0.0009642728,0.00032828416,0.00017266032,0.00017447463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011401257,0.0002047718,0.0007162945,0.00023885752,0.00011360711,0.00013697369,0.00037610647,0.00011006345,0.000028410643],"category_scores_gemma":[0.000327308,0.00016453495,0.00028343816,0.0001397326,0.0002869984,0.00021847119,0.00008985046,0.0002573062,0.0000066792363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015197044,0.00009725911,0.11183317,0.000033059172,0.00023347104,0.0000023623702,0.000024862911,0.00032703424,0.0000022585539,0.8862798,0.00024921246,0.0007655005],"study_design_scores_gemma":[0.0009910942,0.0001781437,0.28970176,0.000044464276,0.000011583059,0.000012002022,0.00005648121,0.0013646438,0.000044290813,0.7012911,0.0061389226,0.00016553339],"about_ca_topic_score_codex":0.0003272787,"about_ca_topic_score_gemma":0.00002647804,"teacher_disagreement_score":0.18498877,"about_ca_system_score_codex":0.00042282068,"about_ca_system_score_gemma":0.0002088666,"threshold_uncertainty_score":0.6709541},"labels":[],"label_agreement":null},{"id":"W4407028705","doi":"10.2139/ssrn.5056191","title":"The Gender Unemployment Gap in Canada","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Unemployment; Gender gap; Demographic economics; Political science; Economics; Economic growth","score_opus":0.024904349497508884,"score_gpt":0.23220866158390868,"score_spread":0.2073043120863998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407028705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.832916,0.09095719,0.0077258935,0.012511933,0.008175995,0.00089102046,0.0008938788,0.000027474547,0.045900606],"genre_scores_gemma":[0.9619167,0.033942565,0.000024189125,0.00030282442,0.00017380448,0.000026273785,0.00001658221,0.00002045355,0.0035766035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961427,0.00008654428,0.001090859,0.0004210682,0.0001006087,0.0021582283],"domain_scores_gemma":[0.99857855,0.0001244552,0.0006516808,0.0005164148,0.000057372206,0.000071499686],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0046272906,0.00026292278,0.00048035185,0.0001545357,0.00021411756,0.00016413323,0.0008735605,0.0001512476,0.000034037563],"category_scores_gemma":[0.00013476933,0.00023266075,0.00017219942,0.00019484118,0.000025446177,0.000046151174,0.00036486622,0.0042601465,0.000007701818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000018668323,0.000022885903,0.07051002,0.000020934103,0.00021714883,0.0000058343776,0.00003841893,0.0012321665,5.6194484e-8,0.9251206,0.0001744691,0.0026387793],"study_design_scores_gemma":[0.00030800095,0.000013147074,0.0063068513,0.000026091666,0.000008177447,0.000009469172,0.00032481927,0.002008507,3.7859164e-7,0.9791277,0.011605536,0.00026129506],"about_ca_topic_score_codex":0.798951,"about_ca_topic_score_gemma":0.98371947,"teacher_disagreement_score":0.18476845,"about_ca_system_score_codex":0.013012795,"about_ca_system_score_gemma":0.016426986,"threshold_uncertainty_score":0.99803704},"labels":[],"label_agreement":null},{"id":"W4407118576","doi":"10.3386/w33407","title":"The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Econometrics; Panel data; Economics; Statistics; Computer science; Mathematics","score_opus":0.5876413672345998,"score_gpt":0.486024685653086,"score_spread":0.10161668158151382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407118576","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017177867,0.013303831,0.0006897292,0.0025862409,0.0012946157,0.0018748151,0.0060737343,0.000011316666,0.95698786],"genre_scores_gemma":[0.98193324,0.0044049,0.000594047,0.00002136268,0.0005699032,0.000042077092,0.001599348,0.000033065193,0.010802076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958833,0.00039330212,0.0019460673,0.00081547484,0.0005258933,0.00043597788],"domain_scores_gemma":[0.99390393,0.0025916004,0.0011253635,0.0016247946,0.0007039435,0.000050337192],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.038452018,0.00020771947,0.0007036165,0.0008050653,0.00018501347,0.00012995563,0.002775517,0.00039047876,0.00006642227],"category_scores_gemma":[0.0062621753,0.0001673119,0.00018853116,0.0006812532,0.0002715492,0.00022774108,0.0007099274,0.0009277336,0.000012295804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004973802,0.00011781919,0.0055325204,0.00022714552,0.00017484011,7.842545e-7,0.00012096572,0.0007844289,0.0000032550329,0.98212487,0.010341845,0.0005217899],"study_design_scores_gemma":[0.0004277368,0.000021333592,0.0073877745,0.00010297534,0.000012535023,0.0000049517616,0.00028586594,0.048775055,0.0000013623984,0.9159683,0.02681809,0.00019400322],"about_ca_topic_score_codex":0.040897056,"about_ca_topic_score_gemma":0.0027107643,"teacher_disagreement_score":0.96475536,"about_ca_system_score_codex":0.0029032747,"about_ca_system_score_gemma":0.0052412944,"threshold_uncertainty_score":0.990116},"labels":[],"label_agreement":null},{"id":"W4407141616","doi":"10.2139/ssrn.5122125","title":"The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Western University","funders":"","keywords":"Econometrics; Economics; Panel data; Computer science","score_opus":0.05599902705642459,"score_gpt":0.2660908036492148,"score_spread":0.21009177659279019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407141616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75472647,0.031477172,0.20014992,0.0041838414,0.0005557715,0.0003955769,0.00010829142,0.000011447879,0.008391519],"genre_scores_gemma":[0.99530524,0.003358207,0.00022048634,0.00006948799,0.00009318454,0.0000016784991,0.000010784822,0.000008447509,0.00093246537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799544,0.00014724168,0.00066882465,0.0002470305,0.000062888874,0.0008785741],"domain_scores_gemma":[0.99864805,0.00017189699,0.00040562122,0.0007166011,0.0000352195,0.000022632552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011058284,0.00010453165,0.00022651462,0.00012816116,0.00020816436,0.00009750148,0.0012299359,0.000073469266,0.0000047976087],"category_scores_gemma":[0.00047891928,0.00007227093,0.00008265271,0.0005732136,0.000047939215,0.00019867269,0.00013575662,0.0010270809,0.0000021796802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029324896,0.000055527442,0.017359281,0.0000074857267,0.00007675321,3.4127285e-7,0.000159034,0.00015741821,0.000009072545,0.9803223,0.00005323745,0.0017702517],"study_design_scores_gemma":[0.00045325214,0.000020713744,0.012148972,0.000014563201,0.000014211954,0.000019481651,0.001924199,0.03343338,8.1311464e-7,0.9499981,0.0018835854,0.00008875078],"about_ca_topic_score_codex":0.002687376,"about_ca_topic_score_gemma":0.0037556638,"teacher_disagreement_score":0.2405788,"about_ca_system_score_codex":0.0009865477,"about_ca_system_score_gemma":0.0012897757,"threshold_uncertainty_score":0.44622126},"labels":[],"label_agreement":null},{"id":"W4407157204","doi":"10.54932/ngbm8392","title":"Disability, discrimination, and the effectiveness of wage subsidies: A job-search approach","year":2025,"lang":"en","type":"report","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Subsidy; Wage; Labour economics; Economics; Business","score_opus":0.046665742602583764,"score_gpt":0.2864979993123886,"score_spread":0.23983225670980485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407157204","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19128011,0.0046186773,0.0057625063,0.00033041887,0.00069812936,0.001675084,0.0015261478,0.00003439827,0.79407454],"genre_scores_gemma":[0.98985565,0.003533757,0.00015751418,0.000018658184,0.00007088199,0.00014704223,0.00019158474,0.000025880272,0.005999018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99731034,0.00041359704,0.0011247209,0.0007203197,0.00016519074,0.0002658363],"domain_scores_gemma":[0.996328,0.0020224093,0.00041897455,0.0008716112,0.0003091772,0.000049843682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017625106,0.00029269434,0.0013197577,0.00016045649,0.000121366465,0.000106349755,0.00043649352,0.00028961012,0.00006280646],"category_scores_gemma":[0.0020518505,0.00020898585,0.00029766496,0.00037382668,0.00081150536,0.00009616655,0.00044826377,0.00038644817,0.000002826288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014374031,0.000164999,0.13211054,0.003998307,0.00022198266,5.811055e-7,0.00014736611,0.000007681048,3.2561013e-7,0.8625152,0.00008901611,0.0006002747],"study_design_scores_gemma":[0.0019495937,0.00004790218,0.6312288,0.000282849,0.000095707284,0.000005404561,0.00019929672,0.0018616411,0.0000075219464,0.35903582,0.0047500585,0.0005354277],"about_ca_topic_score_codex":0.012541014,"about_ca_topic_score_gemma":0.00026975863,"teacher_disagreement_score":0.7985756,"about_ca_system_score_codex":0.0002999889,"about_ca_system_score_gemma":0.00016817218,"threshold_uncertainty_score":0.9940346},"labels":[],"label_agreement":null},{"id":"W4407191195","doi":"10.1177/00197939251316849","title":"Are Soft Skills Enough? Experimental Evidence on Skill Complementarity for College Graduates","year":2025,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Complementarity (molecular biology); Soft skills; Mathematics education; Psychology; Social psychology; Biology","score_opus":0.10952948873857098,"score_gpt":0.32752804974310407,"score_spread":0.21799856100453308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407191195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5095217,0.37467086,0.0011416228,0.07730066,0.0029310116,0.0076712114,0.016106011,0.00015606234,0.010500867],"genre_scores_gemma":[0.98003715,0.010399757,0.0003753661,0.0041784323,0.00016265675,0.00034324388,0.00011879474,0.000018084103,0.004366488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984749,0.00006360783,0.0007989934,0.00040642289,0.000046177043,0.00020992599],"domain_scores_gemma":[0.9985492,0.0005654427,0.00045621835,0.00028415685,0.00007796988,0.00006700657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009468674,0.00017956979,0.0005562512,0.00010989305,0.00029307872,0.00005669457,0.00016034773,0.00011950601,0.00046790027],"category_scores_gemma":[0.0014211152,0.00017678131,0.00012498435,0.00047526983,0.00005781172,0.00017539466,0.000065494045,0.00020147866,0.00004475916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003370024,0.00026328937,0.055333603,0.00026796904,0.00008228783,0.0000013957488,0.00003994584,0.0000058503965,0.0000015894552,0.9205874,0.021502579,0.0018803915],"study_design_scores_gemma":[0.0021379166,0.00018174006,0.030466557,0.0050611775,0.000088488014,0.0000013863191,0.00009074366,0.00031070193,0.000046227804,0.08130992,0.8798133,0.0004918151],"about_ca_topic_score_codex":0.00012798728,"about_ca_topic_score_gemma":0.000041535342,"teacher_disagreement_score":0.85831076,"about_ca_system_score_codex":0.00014159936,"about_ca_system_score_gemma":0.000046677174,"threshold_uncertainty_score":0.7208932},"labels":[],"label_agreement":null},{"id":"W4407345715","doi":"10.5430/ijfr.v16n1p20","title":"Wage Bargaining and Inflation: Perception Thresholds in the Labor Market and the Impact on Distribution and Economic Development – Evidence From Two Behavioral Experiments","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Wage; Perception; Distribution (mathematics); Labour economics; Wage bargaining; Psychology","score_opus":0.0796248175604312,"score_gpt":0.40896725852149896,"score_spread":0.32934244096106774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407345715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603605,0.0010369011,0.00021694666,0.0017691123,0.00016732012,0.00014042758,0.000103481536,0.0000011711732,0.00052857],"genre_scores_gemma":[0.9985377,0.0011155836,0.00008078247,0.000082200255,0.00012391877,0.000010554947,0.000009043248,0.0000033715407,0.000036837537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893075,0.00014760063,0.00048473416,0.00016315987,0.00014060503,0.00013314512],"domain_scores_gemma":[0.99886125,0.0007047942,0.00018021288,0.000092286085,0.00012991762,0.00003151318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004708302,0.00008174789,0.00017420886,0.00018862422,0.00013436895,0.0002680872,0.00026007538,0.00004853727,0.000047183275],"category_scores_gemma":[0.0006120981,0.000055330456,0.000035358975,0.00010234263,0.00013789262,0.00028462333,0.00012035564,0.0003136565,0.0000019565932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015617525,0.00006398712,0.843063,0.0000034537259,0.00004429118,0.00001744302,0.0035582024,0.00006199557,0.000030574807,0.09892342,0.00019301433,0.052478895],"study_design_scores_gemma":[0.0013184277,0.000058037458,0.96853,0.000108844426,0.0000020292002,0.0000036480826,0.00014601446,0.0021294563,0.000011422804,0.027115492,0.00052270683,0.000053899297],"about_ca_topic_score_codex":0.0013889986,"about_ca_topic_score_gemma":0.00018473224,"teacher_disagreement_score":0.12546705,"about_ca_system_score_codex":0.00035840928,"about_ca_system_score_gemma":0.00012836182,"threshold_uncertainty_score":0.2585171},"labels":[],"label_agreement":null},{"id":"W4407698281","doi":"10.2139/ssrn.5127965","title":"The Theory of Talent Mobility Economics","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Neoclassical economics; Economics; Mathematical economics; Positive economics","score_opus":0.01458717788564744,"score_gpt":0.22783066796418747,"score_spread":0.21324349007854002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407698281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8733559,0.05535984,0.033646632,0.0023430784,0.004177412,0.000719151,0.0012997526,0.00003735246,0.029060857],"genre_scores_gemma":[0.91895914,0.076050624,0.000060568447,0.000072046656,0.00020416919,0.00002206447,0.000016522376,0.000022161687,0.00459271],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962002,0.00015706835,0.0015465795,0.0004841334,0.000050123585,0.0015619076],"domain_scores_gemma":[0.9969192,0.00034729365,0.0016172198,0.00092663965,0.00012383037,0.00006582316],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0143703865,0.0002934438,0.0007063675,0.00016419672,0.0002710493,0.00014258928,0.0011856927,0.00029963162,0.00003923635],"category_scores_gemma":[0.0003924732,0.0002547474,0.0005577759,0.00011863203,0.00016877342,0.000079225705,0.00057991984,0.0034223842,0.000011531852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007721631,0.00009003527,0.005328189,0.000049806178,0.00051969464,3.020467e-7,0.000070841736,0.0004939547,2.4824982e-7,0.98400646,0.000015571697,0.0093476605],"study_design_scores_gemma":[0.0002798891,0.00005587707,0.0019711126,0.000030641902,0.000026906853,0.000007675003,0.00027129767,0.0008552014,0.0000045613037,0.99092054,0.0053373077,0.00023901156],"about_ca_topic_score_codex":0.00022788091,"about_ca_topic_score_gemma":0.0007870034,"teacher_disagreement_score":0.045603212,"about_ca_system_score_codex":0.0018020805,"about_ca_system_score_gemma":0.0022473012,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W4407870159","doi":"10.7202/1116500ar","title":"Comparaison de la recherche d’information sur l’emploi de jeunes adultes non diplômés selon le genre","year":2024,"lang":"fr","type":"article","venue":"Revue Jeunes et Société","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.10983942875562037,"score_gpt":0.3495560444827132,"score_spread":0.23971661572709285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407870159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88238055,0.043703128,0.019300997,0.016655115,0.0031760454,0.0005192001,0.0014903517,0.00023561947,0.032539006],"genre_scores_gemma":[0.9507851,0.024362423,0.007881131,0.0010836974,0.0007453422,0.00009359266,0.0003347178,0.0001053458,0.014608644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996836,0.00066537265,0.0011414622,0.00051845686,0.00008184761,0.0007568567],"domain_scores_gemma":[0.9960287,0.0027375408,0.0004395334,0.00048088556,0.00013168041,0.00018164632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0071484707,0.00040480227,0.0007442794,0.00024409354,0.00021648312,0.00082050724,0.00039718076,0.0010471618,0.00023513744],"category_scores_gemma":[0.0014698148,0.00051979546,0.00044262508,0.0006052886,0.00015554082,0.0014179649,0.00014805228,0.0012084888,0.00036260427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007803069,0.0004435985,0.07931532,0.005041522,0.00050477724,0.000058710873,0.027323565,0.0015329447,0.00012326473,0.7836669,0.006937182,0.094974175],"study_design_scores_gemma":[0.0011773318,0.000138651,0.0568892,0.0013715886,0.00012223235,0.00008744267,0.0047900314,0.26120508,0.00016752521,0.16000992,0.5127556,0.0012854084],"about_ca_topic_score_codex":0.005268431,"about_ca_topic_score_gemma":0.0003693904,"teacher_disagreement_score":0.623657,"about_ca_system_score_codex":0.0010655897,"about_ca_system_score_gemma":0.0003652658,"threshold_uncertainty_score":0.99972534},"labels":[],"label_agreement":null},{"id":"W4407884322","doi":"10.1038/s41562-024-02093-2","title":"Skill dependencies uncover nested human capital","year":2025,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Research Foundation of Korea; Institute of Management Research, College of Business Administration Seoul National University; Seoul National University; Korea Advanced Institute of Science and Technology; Northwestern University; National Science Foundation","keywords":"Human capital; Wage; Dependency (UML); Ethnic group; Dreyfus model of skill acquisition; Psychology; Demographic economics; Labour economics; Cognitive psychology; Economics; Computer science; Political science; Artificial intelligence; Economic growth","score_opus":0.014251146995130297,"score_gpt":0.2674771594906728,"score_spread":0.2532260124955425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407884322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614234,0.0011467006,0.00009525991,0.0002611591,0.00093005603,0.00022640609,0.00031211076,0.00010481993,0.035500117],"genre_scores_gemma":[0.9852592,0.000014736948,0.00009354125,0.00067114556,0.00012096106,0.00002308845,0.00015231795,0.000030690477,0.013634353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982509,0.000029352981,0.00065744406,0.00059034396,0.00008290973,0.00038902412],"domain_scores_gemma":[0.99889886,0.000037457765,0.00026142498,0.00061582867,0.00010480951,0.00008162406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059185835,0.00026318314,0.00045215475,0.00034121296,0.00034921002,0.00018199118,0.00047964972,0.000573515,0.0005937925],"category_scores_gemma":[0.000094462994,0.0002927785,0.00020411449,0.00037053248,0.000075214615,0.00022734127,0.00016002521,0.0008772967,0.000082781546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036602496,0.00011338964,0.361736,0.000016427755,0.00002662026,0.000014399117,0.0001353066,0.000003268824,0.00007918545,0.6371042,0.0007264416,0.00004107126],"study_design_scores_gemma":[0.0006456874,0.000036873025,0.7117189,0.000024132827,0.000021448743,0.0000017896801,0.000083345905,0.00001637368,0.000075334625,0.28287804,0.004145913,0.00035212436],"about_ca_topic_score_codex":0.00075817236,"about_ca_topic_score_gemma":0.0008226337,"teacher_disagreement_score":0.35422617,"about_ca_system_score_codex":0.00022228718,"about_ca_system_score_gemma":0.000030888186,"threshold_uncertainty_score":0.99995244},"labels":[],"label_agreement":null},{"id":"W4407918160","doi":"10.1007/978-3-031-76228-4_1","title":"Why This Study Now?","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History; Geography","score_opus":0.029176665595109893,"score_gpt":0.22837119506213624,"score_spread":0.19919452946702634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407918160","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001229453,0.0008214013,0.0007544471,0.0010130164,0.0010062848,0.00052490085,0.00073658855,0.00008897972,0.99493146],"genre_scores_gemma":[0.006665455,0.0005036311,0.000176251,0.0026463736,0.00014805434,0.000017934855,0.00006102133,0.000052217012,0.98972905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979325,0.000008689038,0.00097518874,0.00077491737,0.000057826892,0.0002508811],"domain_scores_gemma":[0.9984135,0.000088593326,0.00042179643,0.00092542643,0.00007322883,0.000077422614],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007173129,0.00037488822,0.0008706256,0.00035622294,0.00008943993,0.00011948747,0.00044521812,0.00034343198,0.016371215],"category_scores_gemma":[0.00005044003,0.00040793043,0.00026880056,0.00006400024,0.00003851683,0.000082284336,0.00025109886,0.00040079065,0.0016837828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008033246,0.00008284274,0.0020536426,0.000033650616,0.00020428597,0.000013945431,0.000040788877,5.33764e-7,2.4104654e-8,0.9288777,0.0681384,0.00054612744],"study_design_scores_gemma":[0.0002270875,0.000052356856,0.00019768608,0.000017923789,0.000016568862,3.0684058e-7,0.0000052413225,0.00008762495,8.929321e-8,0.35875356,0.64031297,0.00032857928],"about_ca_topic_score_codex":0.0005567107,"about_ca_topic_score_gemma":0.0007004956,"teacher_disagreement_score":0.57217455,"about_ca_system_score_codex":0.00015507387,"about_ca_system_score_gemma":0.00003703214,"threshold_uncertainty_score":0.9998373},"labels":[],"label_agreement":null},{"id":"W4408107822","doi":"10.1016/j.labeco.2025.102698","title":"Gender differences in reservation wages in search experiments","year":2025,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council","keywords":"Reservation; Labour economics; Economics; Efficiency wage; Wage; Computer science","score_opus":0.07614655199313926,"score_gpt":0.2835396763542021,"score_spread":0.20739312436106283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408107822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808209,0.0005077105,0.00022188884,0.00079037395,0.00037454301,0.00018979768,0.00010517917,0.000014904254,0.016974732],"genre_scores_gemma":[0.99700296,0.0007635337,0.00031438854,0.0004578952,0.000029507244,0.000038194667,0.000018137853,0.0000129107275,0.0013624707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99843264,0.000040071493,0.0007477126,0.0004355612,0.00001742851,0.0003266044],"domain_scores_gemma":[0.9994032,0.00008348598,0.00012655623,0.00032938717,0.000019228202,0.00003817115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010087716,0.00013842474,0.00038770892,0.0004663449,0.00004309009,0.00010605472,0.00029890428,0.00013025179,0.00016511856],"category_scores_gemma":[0.000083107516,0.00017159233,0.000047887374,0.00037256998,0.00003429295,0.00026912388,0.00012481556,0.00019219685,0.00004547792],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001250884,0.00005135942,0.4869307,0.000017207132,0.000008591111,0.0000011270747,0.00021319102,0.00011902241,0.000005219472,0.51243174,0.0000030327112,0.00020633108],"study_design_scores_gemma":[0.00048479965,0.000006944074,0.5787801,0.000011249387,4.2973656e-7,8.43878e-8,0.00013801128,0.002347405,0.000042521777,0.4171539,0.0009114803,0.00012308547],"about_ca_topic_score_codex":0.0018637318,"about_ca_topic_score_gemma":0.0013476308,"teacher_disagreement_score":0.09527782,"about_ca_system_score_codex":0.00033054093,"about_ca_system_score_gemma":0.000050802893,"threshold_uncertainty_score":0.6997332},"labels":[],"label_agreement":null},{"id":"W4408198686","doi":"10.2139/ssrn.5167701","title":"Workers' Task and Employer Mobility Over the Business Cycle","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Task (project management); Business cycle; Business; Labour economics; Process management; Economics; Management; Macroeconomics","score_opus":0.006825385958399239,"score_gpt":0.2184409155245603,"score_spread":0.21161552956616106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408198686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731,0.007678731,0.010643891,0.0036114643,0.00040364588,0.00013101063,0.000023342403,0.000017263263,0.0043906285],"genre_scores_gemma":[0.993957,0.003544913,0.000023999335,0.00046319622,0.000097883676,0.0000074080463,0.0000021216574,0.000012629696,0.0018908593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998152,0.000045884535,0.00045451557,0.0002722744,0.000041890267,0.0010334437],"domain_scores_gemma":[0.99929714,0.000092592265,0.0002015315,0.00030446736,0.00006168302,0.00004261097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003277941,0.00013762817,0.0002500483,0.000103285376,0.0003016802,0.00015933368,0.0002849548,0.00008254805,0.000051099003],"category_scores_gemma":[0.00018556148,0.000109058274,0.000086962056,0.00043185015,0.00008627089,0.0001759913,0.000092793096,0.0009396011,0.000013811794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026504915,0.0000489883,0.24306445,0.000008005638,0.00010783334,6.68251e-7,0.000045562014,0.000035150537,0.0000022207792,0.75329727,0.00009252646,0.0032708244],"study_design_scores_gemma":[0.000338311,0.000015836249,0.304197,0.000007429945,0.000008580909,0.0000101516935,0.0001169171,0.00039844995,4.3335646e-7,0.6894884,0.0053206673,0.00009780475],"about_ca_topic_score_codex":0.0006273228,"about_ca_topic_score_gemma":0.0008517276,"teacher_disagreement_score":0.06380887,"about_ca_system_score_codex":0.0004431256,"about_ca_system_score_gemma":0.00037490498,"threshold_uncertainty_score":0.4447267},"labels":[],"label_agreement":null},{"id":"W4408759506","doi":"10.1111/labr.12291","title":"Assessing the Impact of the Post Graduate Work Permit Program on the Earnings of International Students: Evidence From Canadian Employer Employee Dynamics Dataset","year":2025,"lang":"en","type":"article","venue":"Labour","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earnings; Work (physics); Dynamics (music); Labour economics; Accounting; Economics; Demographic economics; Psychology; Engineering; Pedagogy","score_opus":0.04870407783256386,"score_gpt":0.3416722716022022,"score_spread":0.29296819376963834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408759506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98472255,0.00014600453,0.000045664714,0.005852101,0.00042816965,0.0003367855,0.007951776,0.000009115608,0.0005078259],"genre_scores_gemma":[0.99874043,0.00008895919,0.000054357257,0.00055439904,0.000037412094,0.000022529337,0.00022333604,0.000013830483,0.000264759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874264,0.00011202604,0.00051747734,0.0002672045,0.00013197957,0.00022869065],"domain_scores_gemma":[0.9981278,0.00048155594,0.0004446121,0.000749537,0.0001504252,0.000046048284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012929572,0.00014799407,0.0002465052,0.00010045718,0.00018769475,0.00030723435,0.0014369168,0.00006582519,0.00014846494],"category_scores_gemma":[0.0009857389,0.00008429072,0.00015850963,0.00054537406,0.00012378018,0.0002001544,0.000247919,0.00032805448,0.0000103366765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000168172,0.000077972894,0.9728757,0.0000069913954,0.0001923429,0.0000010479473,0.00023743673,0.00016887137,0.000002844982,0.02461784,0.00050475117,0.0012973922],"study_design_scores_gemma":[0.00013203664,0.000029781277,0.9898603,0.00015483682,0.000012151434,2.0805062e-7,0.00013623174,0.0010490889,0.000004471024,0.0075607398,0.00096855074,0.000091617636],"about_ca_topic_score_codex":0.23592359,"about_ca_topic_score_gemma":0.03383053,"teacher_disagreement_score":0.20209306,"about_ca_system_score_codex":0.00030524196,"about_ca_system_score_gemma":0.00017140881,"threshold_uncertainty_score":0.9837995},"labels":[],"label_agreement":null},{"id":"W4409085784","doi":"10.2139/ssrn.5121025","title":"Artificial Intelligence and the Labor Market","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Labour economics; Artificial intelligence; Economics; Computer science","score_opus":0.02077140786390574,"score_gpt":0.24232515064243734,"score_spread":0.2215537427785316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409085784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2746205,0.17476466,0.3654581,0.06799893,0.009250485,0.002187254,0.0022097637,0.00016257854,0.10334773],"genre_scores_gemma":[0.9322372,0.06061871,0.00016816158,0.00047943948,0.0004790309,0.00002754161,0.000010464904,0.000022615384,0.005956822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99675685,0.00015457069,0.0010861647,0.00049532804,0.00007151524,0.001435584],"domain_scores_gemma":[0.99834746,0.00025338164,0.0007519899,0.00048900733,0.00009164728,0.00006653717],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010108351,0.0002873501,0.0006474181,0.00021167813,0.00027646802,0.00035508783,0.0007329221,0.00026862152,0.000131636],"category_scores_gemma":[0.0005313933,0.00023498184,0.00025464292,0.00021843403,0.00019793827,0.000081819286,0.00054054643,0.0042386744,0.000018607048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015285688,0.000032928972,0.0014886972,0.000030424411,0.00022046633,0.0000015760791,0.00014227782,0.00007320124,7.3399384e-8,0.9795281,0.000050967014,0.018278427],"study_design_scores_gemma":[0.00017522392,0.000028321912,0.0005461763,0.000038409937,0.000030212912,0.000023440234,0.00023938727,0.006530541,0.0000012147742,0.9891852,0.0029441018,0.00025775086],"about_ca_topic_score_codex":0.00050531863,"about_ca_topic_score_gemma":0.00088710844,"teacher_disagreement_score":0.65761673,"about_ca_system_score_codex":0.0006377054,"about_ca_system_score_gemma":0.0010541843,"threshold_uncertainty_score":0.99805856},"labels":[],"label_agreement":null},{"id":"W4409270075","doi":"10.1111/acfi.70023","title":"Labour Investment Efficiency and Social Capital","year":2025,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland","keywords":"Economics; Labour economics; Investment (military); Social capital; Business; Sociology; Political science","score_opus":0.009744802142963657,"score_gpt":0.2106532493807281,"score_spread":0.20090844723776444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409270075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837749,0.0029035318,0.000618215,0.001063577,0.00022315967,0.00007468648,0.00006697311,0.000021622707,0.011253347],"genre_scores_gemma":[0.99647564,0.00045352092,0.00021938627,0.0013687218,0.000047106016,0.000009356006,0.000003888182,0.0000068074432,0.0014155831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916875,0.000007171858,0.00028617747,0.00031365865,0.000020742196,0.00020348666],"domain_scores_gemma":[0.99967897,0.000034480763,0.00013628564,0.00011474836,0.00002412178,0.0000114018285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048291925,0.0001044315,0.00021778388,0.0000814704,0.00024068863,0.00011454112,0.0000889508,0.00007223478,0.0000074849104],"category_scores_gemma":[0.00006452951,0.00011732321,0.000027584072,0.00017289312,0.00008227508,0.00013109215,0.000095664655,0.00010427601,0.000009246938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035129422,0.000022302364,0.07906145,0.00003783817,0.000008954805,0.0000010561822,0.00039131416,0.0000021107894,0.0000041187504,0.91895574,0.00006834238,0.001443271],"study_design_scores_gemma":[0.00054165313,0.000020105466,0.46616924,0.000023570976,0.0000051804354,0.0000015332965,0.00013306254,0.0025061832,0.000007977871,0.46993178,0.060402144,0.00025754853],"about_ca_topic_score_codex":0.00032336905,"about_ca_topic_score_gemma":0.000023743984,"teacher_disagreement_score":0.44902393,"about_ca_system_score_codex":0.000025647998,"about_ca_system_score_gemma":0.000013973957,"threshold_uncertainty_score":0.47843015},"labels":[],"label_agreement":null},{"id":"W4409422060","doi":"10.3386/w33687","title":"Labor Market Polarization and Inequality: A Roy Model Perspective","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Inequality; Polarization (electrochemistry); Economics; Neoclassical economics; Sociology; Mathematical economics; Labour economics; Computer science; Mathematics; Artificial intelligence; Mathematical analysis; Chemistry","score_opus":0.246461182616414,"score_gpt":0.4587345407454375,"score_spread":0.2122733581290235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409422060","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009691335,0.0040407088,0.00029158936,0.0026940363,0.00048407374,0.0007001583,0.006914503,0.000024645798,0.97515893],"genre_scores_gemma":[0.90780747,0.00491449,0.0007717576,0.00013118373,0.00047167958,0.00012975042,0.0009086347,0.00006895987,0.08479608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964712,0.0001626919,0.0014676155,0.0010167961,0.00043601394,0.00044566925],"domain_scores_gemma":[0.99527967,0.0006470865,0.0008001975,0.0004978271,0.0026507317,0.00012445872],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012556023,0.00029913563,0.00096803816,0.0016083514,0.00017589325,0.00016237643,0.0004861602,0.0006130811,0.0004689316],"category_scores_gemma":[0.0048726564,0.00036464166,0.00019086353,0.00043856876,0.0002473575,0.0002774104,0.0003979214,0.00083233014,0.000031084543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006436305,0.00009220056,0.011295885,0.0003024315,0.00020041886,0.0000012189867,0.000108421424,0.00023168528,0.0000041182584,0.9774605,0.00999379,0.00024496598],"study_design_scores_gemma":[0.0004498271,0.000041077183,0.0054767267,0.00008401466,0.000010896332,0.0000023226587,0.00007131515,0.037156112,0.0000028695586,0.9477741,0.008623779,0.00030695787],"about_ca_topic_score_codex":0.008470146,"about_ca_topic_score_gemma":0.0004412325,"teacher_disagreement_score":0.8981161,"about_ca_system_score_codex":0.003333386,"about_ca_system_score_gemma":0.0028770408,"threshold_uncertainty_score":0.99988055},"labels":[],"label_agreement":null},{"id":"W4409592823","doi":"10.1007/s00199-025-01647-3","title":"Search and multiple jobholding","year":2025,"lang":"en","type":"article","venue":"Economic Theory","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fonds de Recherche du Québec-Société et Culture; W.E. Upjohn Institute for Employment Research","keywords":"Public finance; Economics; Mathematics; Mathematical economics; Macroeconomics","score_opus":0.018352883757073474,"score_gpt":0.23483565497019324,"score_spread":0.21648277121311976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409592823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91745996,0.001263089,0.003185125,0.00043882054,0.0005348924,0.00011325614,0.00013232128,0.00003735511,0.07683516],"genre_scores_gemma":[0.9954929,0.0001924304,0.00023634113,0.00038045988,0.000059673108,0.0000058139444,0.0000061531255,0.000013373662,0.0036128857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998982,0.00003596176,0.00038903794,0.00036144227,0.000007821325,0.00022372579],"domain_scores_gemma":[0.99931294,0.0002574931,0.000068861795,0.00030064286,0.000007470936,0.000052574815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017618715,0.000109748195,0.00026484168,0.00017682098,0.00011253388,0.00009203861,0.0001725264,0.00007332198,0.00037385002],"category_scores_gemma":[0.00011511547,0.00013150908,0.000059930666,0.000062790845,0.000080967766,0.00014169361,0.00013885795,0.00012277071,0.00022100088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002156539,0.00001226441,0.10127967,0.000017524428,0.000038119742,8.255486e-7,0.000108170265,0.000102284896,0.000013319699,0.895898,0.00007811005,0.002430134],"study_design_scores_gemma":[0.0006220698,0.000011905363,0.046318028,0.000013192657,0.0000037858783,0.000001287956,0.00012228375,0.010544115,0.000099591605,0.9261871,0.015869053,0.00020759458],"about_ca_topic_score_codex":0.0002013219,"about_ca_topic_score_gemma":0.000028858523,"teacher_disagreement_score":0.078032896,"about_ca_system_score_codex":0.00012976,"about_ca_system_score_gemma":0.000023332293,"threshold_uncertainty_score":0.5362784},"labels":[],"label_agreement":null},{"id":"W4409999191","doi":"10.1016/j.econlet.2025.112347","title":"Male labor scarcity, technology adoption and female labor market integration: A quantitative and qualitative study of Portugal","year":2025,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Scarcity; Economics; Labour economics; Qualitative research; Secondary labor market; Labor relations; Microeconomics; Sociology","score_opus":0.0227625773403859,"score_gpt":0.2731851360422866,"score_spread":0.2504225587019007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409999191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98961663,0.00055427366,0.0010153522,0.005573531,0.0002310955,0.00041970002,0.00047438408,0.000022818374,0.0020922143],"genre_scores_gemma":[0.99653035,0.00032939244,0.001988733,0.000697636,0.000017468914,0.000049015885,0.000015015912,0.000015649679,0.00035670516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99838114,0.00008195773,0.0007850121,0.00052840024,0.000021067446,0.00020243702],"domain_scores_gemma":[0.9989097,0.00020642197,0.00046551606,0.00030299294,0.000069775284,0.000045582998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011274308,0.00019349156,0.000552217,0.00053957186,0.00009880481,0.000072158546,0.00015933326,0.00011183737,0.00006304154],"category_scores_gemma":[0.00016774102,0.0002291354,0.000043230746,0.00036334482,0.00021879772,0.00026164018,0.00015247554,0.00017733348,0.0000046188984],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010789561,0.00017786019,0.35529444,0.00005882763,0.00017188826,0.000003296393,0.007962254,0.000018717323,0.000073643874,0.63525623,0.00014478642,0.00073018],"study_design_scores_gemma":[0.0050400314,0.000869215,0.6752454,0.000117259675,0.00008373568,0.000014969038,0.09979987,0.007958694,0.00013295526,0.20770001,0.0019767033,0.0010611339],"about_ca_topic_score_codex":0.00034795416,"about_ca_topic_score_gemma":0.00043540762,"teacher_disagreement_score":0.4275562,"about_ca_system_score_codex":0.00009372483,"about_ca_system_score_gemma":0.000025163103,"threshold_uncertainty_score":0.934387},"labels":[],"label_agreement":null},{"id":"W4410580215","doi":"10.3138/cpp.2024-046","title":"Post-School Skill Production: New Measures and Patterns from the Canadian Longitudinal International Study of Adults (LISA)","year":2025,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Group for Research in Decision Analysis; Western University","funders":"","keywords":"Production (economics); Longitudinal study; Psychology; Medicine; Economics","score_opus":0.03029574471629607,"score_gpt":0.2509436274058263,"score_spread":0.22064788268953026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410580215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71824414,0.0031836405,0.000027968284,0.2606468,0.0035110756,0.00048102747,0.0077721626,0.000007967794,0.0061251894],"genre_scores_gemma":[0.9813718,0.00049888453,0.000028026527,0.003981911,0.0015209584,0.000022505475,0.00015728711,0.000023454748,0.012395157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976842,0.000100640915,0.000743062,0.00066544674,0.00010740265,0.0006992909],"domain_scores_gemma":[0.9973707,0.00009088615,0.00028834233,0.00073041423,0.00039070306,0.0011289348],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081576355,0.0002615526,0.00040745627,0.0011111052,0.00042631433,0.0005644486,0.0007575187,0.00021766934,0.0010673109],"category_scores_gemma":[0.0029243166,0.0002914199,0.00009285893,0.0007180782,0.00015363094,0.00041163428,0.000108804044,0.00039163802,0.000026856542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012151497,0.00008115086,0.78738964,0.000019765625,0.0003749778,0.000011221574,0.0015756343,0.0000070666115,1.2545058e-7,0.17628425,0.008442443,0.025801603],"study_design_scores_gemma":[0.00064794056,0.000049581144,0.82895446,0.0000729265,0.000024186234,0.000004535097,0.00076244824,0.00016278551,5.040553e-7,0.009519985,0.15957269,0.00022797524],"about_ca_topic_score_codex":0.99900603,"about_ca_topic_score_gemma":0.99974984,"teacher_disagreement_score":0.26312765,"about_ca_system_score_codex":0.0021261226,"about_ca_system_score_gemma":0.007996389,"threshold_uncertainty_score":0.9999538},"labels":[],"label_agreement":null},{"id":"W4410596756","doi":"10.1016/j.euroecorev.2025.105048","title":"Labor market institutions, productivity, and the business cycle: An application to Italy","year":2025,"lang":"en","type":"article","venue":"European Economic Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Government of Ontario; Government of Canada","funders":"Libera Università di Bolzano; Université du Québec à Montréal","keywords":"Business cycle; Productivity; Economics; Labour economics; Macroeconomics","score_opus":0.020261710203383337,"score_gpt":0.2577424512099243,"score_spread":0.23748074100654096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410596756","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22987062,0.109349236,0.012089267,0.07661943,0.0014061716,0.0040442892,0.0006737088,0.00016361132,0.5657837],"genre_scores_gemma":[0.94729036,0.041984696,0.00038912403,0.0072597116,0.00021768207,0.00014726516,0.0000462375,0.000035256864,0.002629695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982402,0.00020522105,0.0007909222,0.0005722822,0.000016796033,0.00017463107],"domain_scores_gemma":[0.9986795,0.00006054108,0.00029485233,0.00084993045,0.000045154924,0.00007001801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045513543,0.00016485651,0.00047726702,0.00009665342,0.0001652873,0.000140275,0.0004064645,0.000022934226,0.00008859281],"category_scores_gemma":[0.0004181008,0.00014249788,0.00006117807,0.0003410348,0.00011982223,0.00028517886,0.00021436994,0.00010535737,0.00041758732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023624822,0.000043615208,0.0053741387,0.0004905485,0.000038110713,8.425857e-7,0.00003832888,0.00005143922,9.602544e-7,0.95004666,0.003082272,0.040809475],"study_design_scores_gemma":[0.00047667412,0.000008802996,0.14302796,0.00023339994,0.000022490083,0.0000037655432,0.0000049210134,0.0006562163,5.482004e-7,0.025066817,0.83027405,0.00022434675],"about_ca_topic_score_codex":0.0001467531,"about_ca_topic_score_gemma":0.00008043741,"teacher_disagreement_score":0.9249798,"about_ca_system_score_codex":0.00010128447,"about_ca_system_score_gemma":0.00004909175,"threshold_uncertainty_score":0.5810895},"labels":[],"label_agreement":null},{"id":"W4410884811","doi":"10.1257/pandp.20251104","title":"From Online Job Postings to Economic Insights: A Machine Learning Approach to Structuring Naturally Occurring Data","year":2025,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Structuring; Data science; Computer science; Machine learning; Artificial intelligence; Business","score_opus":0.0224868405747611,"score_gpt":0.23768436785413485,"score_spread":0.21519752727937375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410884811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96554327,0.00097324507,0.00015062394,0.0008212372,0.0002751205,0.00026976285,0.00080927496,0.00007200372,0.031085478],"genre_scores_gemma":[0.99082744,0.00013328406,0.0062122466,0.001935397,0.00018166845,0.000011729058,0.00019529444,0.000028851755,0.00047406837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802846,0.0000061127403,0.0005770048,0.0010031338,0.000043033215,0.00034228523],"domain_scores_gemma":[0.9992502,0.00006260528,0.0001844435,0.00028685783,0.00003842538,0.00017749541],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043476128,0.00026097934,0.0004687834,0.0002698403,0.00023443863,0.00035063684,0.0006943793,0.00011870808,0.00003233424],"category_scores_gemma":[0.00030961493,0.00027329815,0.00004799843,0.00029322557,0.00002687687,0.0003783211,0.0009181551,0.0003468098,0.000015257124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027920777,0.00012116671,0.65252566,0.000382933,0.00043367204,0.0000052139408,0.009161445,0.0005206917,0.0017525482,0.31370467,0.0009382232,0.020174606],"study_design_scores_gemma":[0.0028731744,0.0002821151,0.41047695,0.0004914638,0.000100416335,0.000014355146,0.0031357245,0.14342847,0.00012870632,0.06773034,0.3687006,0.0026377032],"about_ca_topic_score_codex":0.0026320787,"about_ca_topic_score_gemma":0.00016991429,"teacher_disagreement_score":0.36776236,"about_ca_system_score_codex":0.00011626209,"about_ca_system_score_gemma":0.000023023878,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W4411147043","doi":"10.1287/mnsc.2023.01631","title":"AI, Skill, and Productivity: The Case of Taxi Drivers","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Computer science; Operations research; Operations management; Business; Economics; Transport engineering; Engineering; Macroeconomics","score_opus":0.011087124200091876,"score_gpt":0.23536187073196588,"score_spread":0.22427474653187401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411147043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347711,0.00015565834,0.004930198,0.0049247723,0.0003313394,0.0002566149,0.000020882622,0.000011294977,0.054598097],"genre_scores_gemma":[0.99743026,0.00006803352,0.00031185694,0.00044619394,0.000006801613,0.000008359139,2.985109e-7,0.0000020799048,0.0017261407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99926853,0.000009501238,0.00020285552,0.0003338554,0.00003227047,0.00015296983],"domain_scores_gemma":[0.9994346,0.000024973482,0.00010463146,0.00038884123,0.000025150917,0.000021841352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178286,0.00005982178,0.00011612065,0.00019157476,0.00021764806,0.000082901985,0.00027210964,0.0000124598,0.000015408705],"category_scores_gemma":[0.00008453699,0.000049839302,0.000021784657,0.00083395024,0.00043991656,0.00020711594,0.00031243687,0.000050776234,0.0000043895016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018586318,0.000025726002,0.021830155,0.000037876005,0.000012573297,0.000017119046,0.0001194726,0.000025545809,0.0000050231347,0.9706798,0.00012387366,0.0071209804],"study_design_scores_gemma":[0.00043323598,0.00003365114,0.2390946,0.00002808598,0.000019011064,0.000011855448,0.0007094435,0.011459778,0.00010760446,0.7212609,0.026608637,0.00023319012],"about_ca_topic_score_codex":0.0002475131,"about_ca_topic_score_gemma":0.000044282835,"teacher_disagreement_score":0.2494189,"about_ca_system_score_codex":0.00003882523,"about_ca_system_score_gemma":0.000009163293,"threshold_uncertainty_score":0.20323877},"labels":[],"label_agreement":null},{"id":"W4411690486","doi":"10.1016/j.econlet.2025.112468","title":"Unemployment dynamics in the United Kingdom: a quarter-millennium perspective","year":2025,"lang":"en","type":"article","venue":"Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Türkiye Bilimler Akademisi","keywords":"Quarter (Canadian coin); Unemployment; Economics; Perspective (graphical); Kingdom; Dynamics (music); Keynesian economics; Demographic economics; Macroeconomics; Geography; Sociology; Mathematics","score_opus":0.025640504063628777,"score_gpt":0.2449400862997218,"score_spread":0.21929958223609303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91052043,0.00014322612,0.0024414454,0.06122873,0.0007630518,0.00036083977,0.00017188415,0.000032828248,0.02433757],"genre_scores_gemma":[0.98390585,0.00013519454,0.00017777777,0.015422595,0.0000751145,0.000065935994,0.000057568082,0.000022205712,0.0001377461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812895,0.00007343926,0.000783728,0.00056422316,0.00002518643,0.0004244621],"domain_scores_gemma":[0.9987951,0.00020783937,0.0002745334,0.0006524207,0.000027881864,0.00004223279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012318018,0.00023940078,0.00041426162,0.0006394319,0.00012679416,0.00019309911,0.00061623787,0.00010618568,0.000048125825],"category_scores_gemma":[0.000076629025,0.00024410627,0.0001626328,0.0006056861,0.000101357844,0.00015843664,0.0000909744,0.00033921492,0.00007214022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024687015,0.00008915878,0.050878964,0.000011896849,0.00006773307,0.0000060979337,0.00059154665,0.0009109704,0.0000022027048,0.9460441,0.0013335984,0.0000390499],"study_design_scores_gemma":[0.003804908,0.00012048661,0.093052596,0.00007456241,0.000036790556,0.000008851253,0.0063310354,0.18471487,0.000013399226,0.5942328,0.11617951,0.0014301796],"about_ca_topic_score_codex":0.0045324145,"about_ca_topic_score_gemma":0.0015817138,"teacher_disagreement_score":0.3518113,"about_ca_system_score_codex":0.0016518985,"about_ca_system_score_gemma":0.00003264356,"threshold_uncertainty_score":0.99543643},"labels":[],"label_agreement":null},{"id":"W4413080119","doi":"10.2139/ssrn.5355493","title":"Do Reforms Aimed at Reducing Time to Graduation Work? Evidence from the Italian Higher Education System","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Graduation (instrument); Work (physics); Political science; Medical education; Engineering; Medicine","score_opus":0.026690293596915167,"score_gpt":0.25183151214886135,"score_spread":0.2251412185519462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413080119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90666944,0.039799966,0.0044303434,0.024519581,0.00667355,0.0013011842,0.00045138726,0.000113077105,0.016041474],"genre_scores_gemma":[0.9515698,0.0025481377,0.00020309698,0.00030094068,0.0011405795,0.000082545266,0.00011404418,0.000038539412,0.044002328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964803,0.00015450682,0.0011895602,0.00075263716,0.0001524123,0.0012705753],"domain_scores_gemma":[0.997364,0.0001835082,0.0011949665,0.00096133415,0.00017395074,0.00012223267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005356457,0.0003475238,0.00058160344,0.0002414344,0.00038008622,0.0004349675,0.0010225492,0.00030747385,0.00026316728],"category_scores_gemma":[0.00027195827,0.0002870291,0.00028811276,0.00044560607,0.00002725175,0.0002260154,0.00051990343,0.0022371334,0.00052627386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030633365,0.00014595798,0.021348964,0.00017859651,0.0010147027,0.0000024066258,0.0011267203,0.001956083,0.000024567955,0.942187,0.0038781886,0.02783046],"study_design_scores_gemma":[0.00032672856,0.000079703685,0.028952325,0.002560547,0.00010949335,0.00001732095,0.00029210522,0.00091141835,0.0000091666725,0.9555024,0.010460717,0.00077808066],"about_ca_topic_score_codex":0.0024537111,"about_ca_topic_score_gemma":0.0002842804,"teacher_disagreement_score":0.04490035,"about_ca_system_score_codex":0.010047879,"about_ca_system_score_gemma":0.0018897577,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W4413212677","doi":"10.2139/ssrn.5365592","title":"Skill Mismatches, Wage Inequality, and Gender Disparities across Canada: A Short-Project Report","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Inequality; Wage inequality; Wage; Labour economics; Demographic economics; Gender inequality; Economics; Political science; Mathematics","score_opus":0.03985394087199642,"score_gpt":0.28534825557064625,"score_spread":0.24549431469864982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413212677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579854,0.023145044,0.007699528,0.0016792723,0.0020164177,0.00046086352,0.002771246,0.000050109673,0.004192095],"genre_scores_gemma":[0.97548157,0.018850766,0.00015105362,0.00036999426,0.0003835557,0.000038843908,0.0002053545,0.00005049001,0.004468363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99391335,0.0001242184,0.0019141168,0.0010055408,0.00018804273,0.0028547505],"domain_scores_gemma":[0.99768615,0.00012889349,0.0010145763,0.0008394077,0.00017227103,0.00015868933],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007552844,0.0005628018,0.0012230186,0.00015662133,0.00038969825,0.0004346181,0.00071222143,0.0004814126,0.000019163428],"category_scores_gemma":[0.00047771077,0.00061119266,0.00030113672,0.0002252296,0.00009864611,0.00016662471,0.0010238684,0.0046560424,0.0000017083294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006334493,0.0001280806,0.23500611,0.00049486326,0.0014312469,0.00023122343,0.0009047364,0.00010529001,6.4929714e-7,0.7576752,0.0006144543,0.0033448609],"study_design_scores_gemma":[0.00043596895,0.00003782693,0.026927423,0.00007612257,0.000054910426,0.0005193014,0.00093277346,0.0005786683,0.0000020418831,0.9625679,0.0070065153,0.00086052116],"about_ca_topic_score_codex":0.57181215,"about_ca_topic_score_gemma":0.7926784,"teacher_disagreement_score":0.22086625,"about_ca_system_score_codex":0.0036214073,"about_ca_system_score_gemma":0.007170499,"threshold_uncertainty_score":0.99963397},"labels":[],"label_agreement":null},{"id":"W4413399571","doi":"10.34293/2321-2012.2025.0002.4","title":"Constructing an Enhanced Unemployment Model in Canada, Using ARDL","year":2025,"lang":"en","type":"article","venue":"SMART Journal of Business Management Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Mathematics; Econometrics; Economics; Economic growth","score_opus":0.051392863266437126,"score_gpt":0.2718684030808096,"score_spread":0.22047553981437248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413399571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610803,0.001474918,0.030977938,0.00083600625,0.0012222315,0.0001394059,0.00003225287,0.0000048841407,0.0042320755],"genre_scores_gemma":[0.99553275,0.00091232435,0.0030785596,0.00025114848,0.000033528282,0.000004076479,0.0000016270036,0.00000992688,0.00017604826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983544,0.000024263598,0.0010757748,0.00021717364,0.00008008608,0.00024830652],"domain_scores_gemma":[0.99885625,0.000039465147,0.00064976007,0.00019245083,0.00022773584,0.00003432176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091512606,0.00015495122,0.00059644494,0.00041020958,0.000095555566,0.00004012241,0.00022099576,0.000023996314,0.0000085912525],"category_scores_gemma":[0.00009404123,0.00015966855,0.000052701416,0.0005902381,0.000044039592,0.00026152152,0.0001693375,0.000119231845,3.9924055e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011798004,0.00015481314,0.38447106,0.0006710402,0.001145703,0.00010842006,0.00039546454,0.21401201,0.000013908235,0.38935822,0.00024604367,0.009305324],"study_design_scores_gemma":[0.004814198,0.000051367293,0.25574073,0.0014409669,0.00020519499,0.00001059381,0.014176467,0.2797386,0.00008805183,0.4411297,0.0014871011,0.0011170348],"about_ca_topic_score_codex":0.072223686,"about_ca_topic_score_gemma":0.24766003,"teacher_disagreement_score":0.17543633,"about_ca_system_score_codex":0.0015408229,"about_ca_system_score_gemma":0.00021612334,"threshold_uncertainty_score":0.9339545},"labels":[],"label_agreement":null},{"id":"W4413468524","doi":"10.1017/s0022109025101816","title":"Labor Market Power and Financial Leverage: Evidence from Online Job Postings","year":2025,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Business; Content (measure theory); Power (physics); Finance; Computer science; Artificial intelligence; Physics","score_opus":0.026821791548147282,"score_gpt":0.2785100599524746,"score_spread":0.2516882684043273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413468524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729041,0.012600382,0.010770905,0.0021299913,0.00026566687,0.00006216145,0.0008030759,0.0000051150273,0.0004586353],"genre_scores_gemma":[0.99055046,0.0033749226,0.0045283195,0.0009385566,0.0000774653,0.0000013902705,0.0000072745793,0.0000075546714,0.00051403296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998194,0.000081653874,0.0010844072,0.00034491735,0.00008369546,0.00021137252],"domain_scores_gemma":[0.99789554,0.0006259421,0.0008579452,0.00016980628,0.00035349227,0.00009726211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014210877,0.00019448459,0.00093285175,0.00066962175,0.00015691489,0.000117438445,0.00019976048,0.00012837812,0.00016060253],"category_scores_gemma":[0.0040066093,0.00018319637,0.0002819215,0.0013097612,0.00011883532,0.00044884573,0.00010130567,0.00030791046,0.0000025378488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049415487,0.00014805309,0.83795536,0.00004603543,0.0007096716,0.000055183795,0.001064813,0.000028403447,0.00013699097,0.15590848,0.0009840527,0.002468841],"study_design_scores_gemma":[0.0004650857,0.00016662668,0.924234,0.00011975725,0.00028883302,0.0000015653704,0.000097423384,0.0015702554,0.0000065732265,0.07031244,0.0025464224,0.00019106758],"about_ca_topic_score_codex":0.0009720927,"about_ca_topic_score_gemma":0.0006542896,"teacher_disagreement_score":0.086278625,"about_ca_system_score_codex":0.000053957516,"about_ca_system_score_gemma":0.00011427666,"threshold_uncertainty_score":0.7470531},"labels":[],"label_agreement":null},{"id":"W4413520967","doi":"10.1177/00380407251356275","title":"Underemployed and Penalized: Education–Occupation Mismatch and Racial/Ethnic Inequality among Highly Educated Workers","year":2025,"lang":"en","type":"article","venue":"Sociology of Education","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Haifa; Washington Center for Equitable Growth; York University; Columbia Population Research Center","keywords":"Ethnic group; Inequality; Sociology of Education; Sociology; Demographic economics; Racial composition; Racial differences; Racial bias; Racism; Gender studies; Race (biology); Economics; Social science; Mathematics; Anthropology","score_opus":0.027722834744217793,"score_gpt":0.3108089452651651,"score_spread":0.28308611052094734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413520967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98637956,0.0043183854,0.0007631758,0.003076062,0.0013236162,0.00031371787,0.000033379423,0.000023748926,0.0037683588],"genre_scores_gemma":[0.9966234,0.00039332992,0.00057643786,0.00052791036,0.00007482205,0.00006978315,0.00014561584,0.000011337254,0.0015773531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985884,0.00013358863,0.0006749311,0.00039939623,0.000026222067,0.00017750067],"domain_scores_gemma":[0.99878764,0.0002243069,0.0005048044,0.00027346893,0.00014473339,0.00006504496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943317,0.00014787556,0.0003840273,0.00026296917,0.00013340225,0.000025042402,0.00011741004,0.00024673322,0.000054682256],"category_scores_gemma":[0.00045324498,0.00017279304,0.00005383825,0.00028832548,0.000481925,0.00017443094,0.000050066432,0.00016251221,0.0000049695545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021621567,0.00018591771,0.6347213,0.00009890066,0.00004767969,2.1213891e-8,0.0020671596,0.0000011441936,0.000020993366,0.35931736,0.0006552098,0.0028627058],"study_design_scores_gemma":[0.00020996707,0.000017981993,0.6750542,0.00003233308,0.000016564887,3.0281092e-7,0.0019068011,0.000055390567,0.0000094448205,0.32201737,0.0005629018,0.00011673015],"about_ca_topic_score_codex":0.0019709433,"about_ca_topic_score_gemma":0.00015197815,"teacher_disagreement_score":0.04033293,"about_ca_system_score_codex":0.00013784456,"about_ca_system_score_gemma":0.000510665,"threshold_uncertainty_score":0.70462954},"labels":[],"label_agreement":null},{"id":"W4414241022","doi":"10.1016/bs.heslab.2025.08.002","title":"Labor force transitions","year":2025,"lang":"en","type":"book-chapter","venue":"Handbook of labour economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Set (abstract data type); Duration (music); Dynamics (music); Labor relations; Work (physics)","score_opus":0.018205409267574846,"score_gpt":0.20407868856801872,"score_spread":0.18587327930044387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414241022","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058253435,0.010729496,0.004039955,0.0010263277,0.001229218,0.00060080405,0.024679042,0.00013655155,0.95173323],"genre_scores_gemma":[0.021906933,0.016284967,0.0023050033,0.0010909362,0.00028849868,0.000031395386,0.00033584857,0.00019842816,0.957558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971828,0.000009674634,0.0016799083,0.0007325841,0.00003354057,0.00036153427],"domain_scores_gemma":[0.997565,0.00011899111,0.0011489001,0.00090122496,0.00013643417,0.00012950538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053319626,0.00047993314,0.001383363,0.00046445153,0.00008920987,0.00007557112,0.0005024386,0.00060706324,0.00157063],"category_scores_gemma":[0.000047498364,0.0006359301,0.0005207414,0.00005803717,0.00016405847,0.00016966257,0.00011707526,0.00039902146,0.00017623468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034240726,0.000035236393,0.00021803424,0.00027237672,0.00028812527,0.0000037743491,0.00008738246,0.00006004372,0.000003447136,0.99765056,0.00038436797,0.000962413],"study_design_scores_gemma":[0.00045583613,0.000037803748,0.000069152215,0.00021890673,0.000029039515,0.0000016553888,0.0000051037055,0.00016197053,0.000033596425,0.6439884,0.35457447,0.00042409557],"about_ca_topic_score_codex":0.00008723425,"about_ca_topic_score_gemma":0.00018603767,"teacher_disagreement_score":0.3541901,"about_ca_system_score_codex":0.00024535717,"about_ca_system_score_gemma":0.00018855107,"threshold_uncertainty_score":0.9996092},"labels":[],"label_agreement":null},{"id":"W4414365209","doi":"10.1097/jom.0000000000003551","title":"Labor Productivity Beyond Output","year":2025,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"","score_opus":0.020865410347965654,"score_gpt":0.24620085921732768,"score_spread":0.22533544886936202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414365209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98681116,0.0028848408,0.0014141425,0.005187405,0.0005359811,0.000057739322,0.0001148536,0.0000024398876,0.002991418],"genre_scores_gemma":[0.9970618,0.00044586242,0.00028568355,0.00069568946,0.00021544706,0.0000013950983,0.000013842082,0.0000040817713,0.001276234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991839,0.0000143529305,0.00051702495,0.00013156679,0.00006607105,0.00008711636],"domain_scores_gemma":[0.9994504,0.000059794398,0.0003285994,0.000091637485,0.000013749513,0.000055848108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069520134,0.00008178602,0.00026537201,0.00014839694,0.000055957298,0.0000091287475,0.00007849943,0.000037576265,0.00016805575],"category_scores_gemma":[0.00014863175,0.0000676178,0.00003861675,0.00009322576,0.00012400918,0.00014498482,0.00003503855,0.00011822207,0.0000046963105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017637345,0.0001636336,0.8683008,0.000030635412,0.00008543931,0.000007136181,0.00017562743,0.00002227349,0.00022314378,0.12375317,0.0011335418,0.0059282277],"study_design_scores_gemma":[0.0007363634,0.00011087607,0.88894993,0.00002624526,0.0000121522335,0.000012792769,0.00007593295,0.00015237254,0.000020145204,0.08664267,0.02319303,0.00006749351],"about_ca_topic_score_codex":0.000020830003,"about_ca_topic_score_gemma":0.0000021468452,"teacher_disagreement_score":0.0371105,"about_ca_system_score_codex":0.00007040073,"about_ca_system_score_gemma":0.000013549058,"threshold_uncertainty_score":0.2757374},"labels":[],"label_agreement":null},{"id":"W4414766085","doi":"10.62986/pjd2022.46.1d","title":"Surveying the Extent and Wage Consequences of Education-Job Mismatches in the Philippine Labor Market","year":2022,"lang":"en","type":"article","venue":"Journal of Philippine development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Productivity; Subsidy; Quarter (Canadian coin); Efficiency wage; Underemployment","score_opus":0.030176663393983835,"score_gpt":0.241166114388303,"score_spread":0.21098945099431915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414766085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982888,0.0054252977,0.00007482721,0.009436329,0.00048554564,0.00019018889,0.00006601532,0.0000022588072,0.0014315704],"genre_scores_gemma":[0.99748653,0.0006424255,0.0005744052,0.0007177116,0.000064594795,0.000026902626,0.0000047249287,0.000008855281,0.00047385154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980799,0.00020383002,0.0012212858,0.00016441119,0.00015829965,0.00017230313],"domain_scores_gemma":[0.9983953,0.0002967463,0.0009473367,0.00021047077,0.000109298155,0.000040817067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077072545,0.00012563163,0.00036353467,0.00021614609,0.00019299537,0.000048533188,0.0004953484,0.000025051804,0.00069541973],"category_scores_gemma":[0.00032012348,0.0000861133,0.00006890959,0.00042819348,0.00010105065,0.0001088196,0.00013353828,0.00028978023,0.0000010088927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030191834,0.0015460866,0.75854725,0.00031154245,0.00048043128,0.000060597515,0.0347843,0.00035670982,0.0005417678,0.14282247,0.002191044,0.058055893],"study_design_scores_gemma":[0.0006088319,0.00009058031,0.906419,0.0000526138,0.000009429616,0.00010254011,0.0046898555,0.00011435389,0.00005227501,0.020155817,0.06750913,0.00019560238],"about_ca_topic_score_codex":0.00013616786,"about_ca_topic_score_gemma":0.00007320247,"teacher_disagreement_score":0.14787173,"about_ca_system_score_codex":0.00014994151,"about_ca_system_score_gemma":0.0003289811,"threshold_uncertainty_score":0.7614358},"labels":[],"label_agreement":null},{"id":"W4414825966","doi":"10.1016/j.labeco.2025.102806","title":"Wage setting protocols and labor market conditions: Theory and evidence","year":2025,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Southern Economic Association","keywords":"Commit; Wage; Efficiency wage; Competition (biology); Transparency (behavior); Personnel economics; Product market; Empirical evidence","score_opus":0.018858839469838514,"score_gpt":0.2723265036632121,"score_spread":0.2534676641933736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414825966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822762,0.002194677,0.00034999102,0.0021081895,0.00018903195,0.002282393,0.0007988702,0.000049590923,0.009751059],"genre_scores_gemma":[0.98966455,0.0014863027,0.00089397765,0.0022221645,0.00006067222,0.0009961467,0.000009126073,0.000023315117,0.004643757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983751,0.00008682492,0.00066934084,0.0005589715,0.0000138422265,0.0002959072],"domain_scores_gemma":[0.99845016,0.000685537,0.00032338258,0.00040772645,0.00004263326,0.00009056889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027920878,0.00019891458,0.00042029878,0.00017557165,0.00020611481,0.00030121204,0.0002017575,0.00013504512,0.00034241803],"category_scores_gemma":[0.0008013095,0.00023600187,0.00005067006,0.00016256473,0.0001406582,0.00046221973,0.00019940308,0.00017947752,0.000021359087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049562,0.000021150569,0.17885113,0.00014869515,0.000044756383,0.0000015748753,0.00008997226,0.0000054191137,0.0000063957846,0.8195712,0.00006251042,0.0011476118],"study_design_scores_gemma":[0.0004482003,0.000021825725,0.20537493,0.000133182,0.00000670655,0.000002700615,0.000081091086,0.0005602499,0.000019244817,0.77783006,0.015297228,0.00022455548],"about_ca_topic_score_codex":0.00008133712,"about_ca_topic_score_gemma":0.000054804976,"teacher_disagreement_score":0.041741133,"about_ca_system_score_codex":0.00009329062,"about_ca_system_score_gemma":0.000054281,"threshold_uncertainty_score":0.9623877},"labels":[],"label_agreement":null},{"id":"W4414940245","doi":"10.1016/j.jvb.2025.104180","title":"Careers and labor-market stability vs. dynamisms: Using big-data to optimize career trajectories for better outcomes","year":2025,"lang":"en","type":"article","venue":"Journal of Vocational Behavior","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Southampton","keywords":"Workforce; Wage; Career development; Career Pathways; Human resources; Yield (engineering); Human capital; Field (mathematics)","score_opus":0.12488858450494933,"score_gpt":0.3141962811584679,"score_spread":0.1893076966535186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414940245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97751915,0.0004272932,0.012381758,0.0044357106,0.0012933582,0.00033097743,0.0034838005,0.0000064937503,0.0001214473],"genre_scores_gemma":[0.98236054,0.000030406309,0.01639747,0.00084372546,0.00013471396,0.0000224587,0.000048593174,0.000015912026,0.00014619261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842244,0.00003209269,0.0009352641,0.0003125438,0.00009856534,0.0001990947],"domain_scores_gemma":[0.9982007,0.0003165298,0.0004088675,0.00041181585,0.00055431155,0.00010776705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016730538,0.00015701198,0.000494808,0.00025844225,0.00011238049,0.000118556636,0.00040954526,0.00009277873,0.000071169554],"category_scores_gemma":[0.0009057853,0.00015495167,0.00011753661,0.00024484855,0.000060072543,0.00030383473,0.0001293956,0.00014688326,7.045502e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011476649,0.00011185561,0.98927087,0.000050409926,0.00010280496,0.0000021322842,0.00017967721,0.000045877412,0.00004954379,0.007338123,0.00040303014,0.0023309304],"study_design_scores_gemma":[0.00078082544,0.000057650537,0.99001276,0.000026437192,0.00009085986,0.0000037112572,0.00018822146,0.0011305214,0.00002127249,0.0056370683,0.0018657477,0.00018492794],"about_ca_topic_score_codex":0.00021273912,"about_ca_topic_score_gemma":0.00010852063,"teacher_disagreement_score":0.004841367,"about_ca_system_score_codex":0.00024321473,"about_ca_system_score_gemma":0.00017937258,"threshold_uncertainty_score":0.63187456},"labels":[],"label_agreement":null},{"id":"W4415053781","doi":"10.1016/j.jebo.2025.107289","title":"Known unknowns in closing firms and the earnings losses of laid off workers and early leavers","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Closing (real estate); Leverage (statistics); Yield (engineering); Job loss; Closure (psychology)","score_opus":0.010474384609626634,"score_gpt":0.22427606425826876,"score_spread":0.21380167964864213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415053781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978664,0.00062463945,0.00022926368,0.00058039464,0.00029654225,0.0001193614,0.000012240921,0.000003352873,0.0002678145],"genre_scores_gemma":[0.9989304,0.0007567594,0.00009904812,0.000030471178,0.000032829445,0.0000011793857,0.000002161944,0.00001304504,0.00013413111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988173,0.000034950976,0.0008670613,0.00014368819,0.000020312833,0.000116660776],"domain_scores_gemma":[0.99902815,0.000103851264,0.0006511166,0.000114339695,0.00007033671,0.000032226748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010773885,0.00009627244,0.00039450655,0.0002648781,0.000058945632,0.00008516956,0.00012523221,0.00008108469,0.0000570909],"category_scores_gemma":[0.00017287239,0.00008023757,0.000045748693,0.00019434054,0.00012629977,0.00028637805,0.00006217764,0.00016664795,0.000002529487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003862165,0.00003166257,0.9694407,0.00001566257,0.000027034117,0.0000014376118,0.00070830155,0.00009921694,0.000082439445,0.028720094,0.000011720607,0.0008230824],"study_design_scores_gemma":[0.0017701266,0.000041013696,0.99092996,0.00005971464,0.00004209409,0.000009645971,0.00023762486,0.00028053776,0.00029341,0.0058522653,0.00037509153,0.000108516215],"about_ca_topic_score_codex":0.00033482534,"about_ca_topic_score_gemma":0.00004825161,"teacher_disagreement_score":0.022867829,"about_ca_system_score_codex":0.00013821022,"about_ca_system_score_gemma":0.00004554945,"threshold_uncertainty_score":0.3271993},"labels":[],"label_agreement":null},{"id":"W4415260241","doi":"10.1287/orsc.2023.17754","title":"The Quantity-Quality Tradeoff: How Incentives and Monitoring Shape Gender Differences at Work","year":2025,"lang":"en","type":"article","venue":"Organization Science","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Incentive; Leverage (statistics); Unintended consequences; Affect (linguistics); Work (physics); Quality (philosophy); Production (economics); Crowdsourcing","score_opus":0.05292436003296051,"score_gpt":0.26884092767933854,"score_spread":0.215916567646378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415260241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98997724,0.00066588895,0.004860004,0.0019856887,0.0006654962,0.00009240673,0.000014127103,0.000028674198,0.0017104603],"genre_scores_gemma":[0.9980197,0.0005825577,0.00018722958,0.00007410721,0.00002961019,0.0000026716632,0.0000015467787,0.0000057189736,0.0010968775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898195,0.00003279519,0.00028152988,0.00039485135,0.000087521716,0.00022133798],"domain_scores_gemma":[0.99920005,0.0001665808,0.00019147193,0.00026018353,0.00012937184,0.000052354528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015382553,0.000092284165,0.00015344011,0.0000998649,0.00088769634,0.00064155826,0.00038597026,0.000042101747,0.000027426318],"category_scores_gemma":[0.0011679982,0.0000763933,0.000017492895,0.0019445446,0.0004038692,0.00037574966,0.00024461877,0.00007571987,0.000010864841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018638525,0.000008185228,0.6921993,0.0000058151413,0.0000041425883,8.84574e-8,0.00019940853,8.600031e-7,0.00013976841,0.30688065,0.00001223906,0.00054766337],"study_design_scores_gemma":[0.00009352874,0.0000033995964,0.9784563,0.0000073998076,0.0000017415603,1.9260389e-7,0.00016701919,0.00036018572,0.0002608947,0.019918425,0.0006292948,0.00010162052],"about_ca_topic_score_codex":0.000023901353,"about_ca_topic_score_gemma":0.000008978958,"teacher_disagreement_score":0.28696224,"about_ca_system_score_codex":0.000120170254,"about_ca_system_score_gemma":0.000042868043,"threshold_uncertainty_score":0.6827532},"labels":[],"label_agreement":null},{"id":"W4416002286","doi":"10.5465/amproc.2025.18692symposium","title":"Organizational Practices and Labor Market Inequality","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Seekers; Promotion (chess); Inequality; Empirical research; Human capital; Organizational structure; Productivity; Organizational behavior; Differential (mechanical device)","score_opus":0.025635617900612525,"score_gpt":0.26792530615417987,"score_spread":0.24228968825356734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416002286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7401696,0.00073002954,0.00019440003,0.011411868,0.000082002676,0.00028278012,0.00007189874,0.00004232475,0.24701509],"genre_scores_gemma":[0.9899916,0.0012243324,0.0017581859,0.0015801709,0.000030297471,0.000017143651,0.000004091798,0.000010647665,0.0053835297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998805,0.0000071493896,0.0005776276,0.00038097723,0.000059639777,0.00016960643],"domain_scores_gemma":[0.99901175,0.00006215035,0.0007720065,0.000064044616,0.000052833544,0.00003721904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015582688,0.00012138432,0.00026423382,0.00023941594,0.000075324046,0.00007124129,0.0002472754,0.00009876629,0.00024821408],"category_scores_gemma":[0.00039360893,0.0001375717,0.000030074512,0.00060842664,0.000063864616,0.0003792433,0.00026673498,0.00013662242,0.000008204756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018227449,0.000038778337,0.31093225,0.00036664176,0.0000800194,1.4952863e-7,0.000044176944,1.6729203e-7,0.000007830719,0.6864499,0.0016664313,0.0003954472],"study_design_scores_gemma":[0.00034983503,0.000009183669,0.45362175,0.000033692417,0.000018548912,2.9980293e-7,0.00010295008,0.00035569724,0.000050207273,0.50182736,0.043509576,0.00012088107],"about_ca_topic_score_codex":0.000022481638,"about_ca_topic_score_gemma":4.6595406e-7,"teacher_disagreement_score":0.24982199,"about_ca_system_score_codex":0.000035846377,"about_ca_system_score_gemma":0.0000054207917,"threshold_uncertainty_score":0.5610011},"labels":[],"label_agreement":null},{"id":"W4416006265","doi":"10.5465/amproc.2025.20343poster","title":"Devaluation of Feminized Occupations Canada, 1991-2021","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Devaluation; Gender pay gap; Feminization (sociology); Wage; Sex segregation; Human capital; Occupational segregation; Inequality","score_opus":0.025470845226445347,"score_gpt":0.2602272003776533,"score_spread":0.23475635515120793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416006265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8112221,0.00039561113,0.0007185454,0.003606916,0.00016342154,0.0004452954,0.00012016863,0.00001373883,0.18331425],"genre_scores_gemma":[0.9953914,0.0002573038,0.0011958107,0.00041027914,0.000017057877,0.000029042849,0.000015491658,0.0000071617833,0.0026764045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99871224,0.000004354469,0.00077186065,0.00026634283,0.000086379754,0.0001587942],"domain_scores_gemma":[0.9992819,0.00003808184,0.00051265507,0.000076806835,0.00006296719,0.000027608683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009757833,0.00010236094,0.00030193344,0.0002579817,0.000051266976,0.000015650365,0.0002744136,0.00007293549,0.0001084759],"category_scores_gemma":[0.00012389367,0.00012206686,0.000057248806,0.00059655536,0.000035933,0.0001480696,0.000118462194,0.000095458265,0.0000037173397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020197573,0.000039878938,0.04653065,0.0003043232,0.00012143027,1.01909514e-7,0.000059487753,0.000011833131,0.000025389158,0.9455657,0.0042346297,0.003086376],"study_design_scores_gemma":[0.0012930795,0.000022544376,0.5775993,0.00014208429,0.0000750264,1.4706052e-7,0.00030251767,0.0030677102,0.00059024396,0.32605547,0.09058245,0.00026945412],"about_ca_topic_score_codex":0.013586129,"about_ca_topic_score_gemma":0.000810714,"teacher_disagreement_score":0.61951023,"about_ca_system_score_codex":0.00012113345,"about_ca_system_score_gemma":0.000024724552,"threshold_uncertainty_score":0.9929825},"labels":[],"label_agreement":null},{"id":"W4416294787","doi":"10.3386/w34481","title":"Occupations, Human Capital Accumulation and Inequality","year":2025,"lang":"","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Agencia Estatal de Investigación; Banco de Portugal; Deutsche Bundesbank","keywords":"Inequality; Human capital; Production (economics); Capital (architecture); Work (physics)","score_opus":0.4270856161577055,"score_gpt":0.5220369613669296,"score_spread":0.09495134520922405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416294787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62507945,0.0033962475,0.00010487917,0.0009470022,0.0013249875,0.0014691972,0.004289736,0.00002354072,0.36336496],"genre_scores_gemma":[0.98211545,0.0046728114,0.00019241383,0.000041568474,0.0007403021,0.00014499336,0.003517551,0.00005840142,0.008516527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991652,0.0004924798,0.0044128466,0.0018326957,0.00074959267,0.00086037436],"domain_scores_gemma":[0.9912938,0.0023396004,0.0022857485,0.000997842,0.002808072,0.00027496697],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.023555638,0.00059208064,0.0018070632,0.0030549516,0.00077507424,0.00055280834,0.00091337354,0.0011904828,0.0013706344],"category_scores_gemma":[0.0043780254,0.0007849508,0.0004485061,0.0007397156,0.0007519254,0.00087771413,0.00085993693,0.0015344888,0.00011497119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007566636,0.00026987612,0.10511986,0.00083981734,0.0004413278,0.0000023690477,0.0001772531,0.00041408534,0.000012976018,0.8901608,0.0010991505,0.0013868412],"study_design_scores_gemma":[0.0010252967,0.00014794314,0.08970082,0.00020126994,0.00002659135,0.0000045056663,0.00011262995,0.0046375375,0.000012943519,0.89705676,0.006470017,0.0006036613],"about_ca_topic_score_codex":0.011734732,"about_ca_topic_score_gemma":0.0011774561,"teacher_disagreement_score":0.357036,"about_ca_system_score_codex":0.0037973314,"about_ca_system_score_gemma":0.002743477,"threshold_uncertainty_score":0.99954224},"labels":[],"label_agreement":null},{"id":"W4416309166","doi":"10.2139/ssrn.5757614","title":"Occupations, Human Capital Accumulation and Inequality","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Human capital; Wage dispersion; Wage; Comparative advantage; Wage inequality; Inequality; Variation (astronomy); Benchmark (surveying)","score_opus":0.03940475336334237,"score_gpt":0.3014777342251246,"score_spread":0.2620729808617822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416309166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669177,0.0065260185,0.021090483,0.00071287743,0.00066919136,0.00025804612,0.0004840118,0.000040299758,0.0033013776],"genre_scores_gemma":[0.99274856,0.0052420446,0.00014062415,0.00011048535,0.0002980632,0.000015646254,0.00016992826,0.00002092676,0.0012537071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99694216,0.00009897559,0.0011201892,0.00054810947,0.00007474717,0.0012158015],"domain_scores_gemma":[0.9983429,0.00006434488,0.0009547172,0.00043967887,0.000113464164,0.000084949475],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004659376,0.00029333247,0.00058127276,0.00036357343,0.00033330914,0.00027847913,0.00037545327,0.00035787345,0.000055350156],"category_scores_gemma":[0.00022751614,0.00033975538,0.00020150912,0.00015378781,0.00005005102,0.00019668935,0.0003814176,0.003021076,0.000012176805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013626266,0.000053829237,0.11145625,0.00005585384,0.00018376281,8.4639316e-7,0.00016484693,0.00016074615,0.0000012664179,0.8863857,0.000013552567,0.0015097542],"study_design_scores_gemma":[0.0004233169,0.000047891524,0.05126947,0.000037892027,0.000024303841,0.000009865652,0.0001245484,0.0010853069,9.433514e-7,0.94611275,0.0005325515,0.00033118462],"about_ca_topic_score_codex":0.0014985099,"about_ca_topic_score_gemma":0.0018099338,"teacher_disagreement_score":0.060186785,"about_ca_system_score_codex":0.0013311344,"about_ca_system_score_gemma":0.00083126343,"threshold_uncertainty_score":0.99990547},"labels":[],"label_agreement":null},{"id":"W4416684357","doi":"10.48550/arxiv.2509.00516","title":"Worker Quality, Matching and Productivity Slowdown","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Total factor productivity; Productivity; Matching (statistics); Quality (philosophy); Estimation","score_opus":0.06686450736062262,"score_gpt":0.2852217096795796,"score_spread":0.218357202318957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416684357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701557,0.0022067528,0.0019672622,0.002745587,0.001880713,0.00044024995,0.00079224375,0.00010711198,0.019704351],"genre_scores_gemma":[0.991205,0.00060116017,0.00060921954,0.00040841856,0.00033299526,0.00006359349,0.000079732265,0.000033778982,0.0066661355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997005,0.00010869255,0.0010680868,0.0013309885,0.00006635623,0.0004208888],"domain_scores_gemma":[0.9977215,0.00016572805,0.0007083208,0.0012151545,0.00007686908,0.00011240526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026316275,0.00040566304,0.00097432086,0.0002263918,0.00016811752,0.00019418374,0.0004610481,0.00042162504,0.00011888047],"category_scores_gemma":[0.00045767275,0.00046686974,0.00021072809,0.00023461417,0.00010304781,0.00017901637,0.0016090719,0.0009563321,0.00008522201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020502397,0.00009814172,0.83776563,0.0003720067,0.00013213285,0.0000039381302,0.00032616296,0.000060930008,0.0000074396876,0.1598884,0.00007583909,0.0012488482],"study_design_scores_gemma":[0.00021624193,0.0000084565545,0.6486196,0.00010731948,0.000014740103,7.7368264e-7,0.00002497445,0.00012534912,0.000010987486,0.3445692,0.0058378866,0.00046447577],"about_ca_topic_score_codex":0.0027162316,"about_ca_topic_score_gemma":0.0002663419,"teacher_disagreement_score":0.18914606,"about_ca_system_score_codex":0.00015786759,"about_ca_system_score_gemma":0.000078614474,"threshold_uncertainty_score":0.99977833},"labels":[],"label_agreement":null},{"id":"W4416739297","doi":"10.1016/j.orgdyn.2025.101196","title":"The overlooked workforce: Harnessing the talent of people with criminal histories","year":2025,"lang":"en","type":"article","venue":"Organizational Dynamics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Multiple Sclerosis Society of Canada; Memorial University of Newfoundland; York University; University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Workforce; Openness to experience; Face (sociological concept); Economic shortage; Work (physics); Equity (law); Empirical evidence; Empirical research","score_opus":0.00845951636864944,"score_gpt":0.20326794693687866,"score_spread":0.19480843056822922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416739297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8114958,0.0017911674,0.14567696,0.008432602,0.0013032407,0.00038893384,0.00041289112,0.00005200884,0.0304464],"genre_scores_gemma":[0.9944866,0.00011099417,0.0003698926,0.00017842908,0.000033531298,0.00000822536,0.00007527945,0.000017827468,0.004719227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914634,0.000020359419,0.00041064605,0.00019069023,0.000073439114,0.00015850732],"domain_scores_gemma":[0.9989601,0.0002122798,0.00029161212,0.00031785306,0.0001971447,0.000021057142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004210566,0.00011212533,0.00018662703,0.00005409272,0.00043856958,0.00010315597,0.00030708226,0.000051819043,0.000050026436],"category_scores_gemma":[0.0002514323,0.000075689306,0.000041240608,0.0006877083,0.00015807012,0.00009034969,0.00008267703,0.00011121062,0.0000047200733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020194704,0.00002667626,0.17023261,0.000022777012,0.000027953396,2.7135022e-7,0.00029034913,0.00041091596,0.0000017053482,0.828689,0.00006518887,0.00021237781],"study_design_scores_gemma":[0.0007600026,0.00005648813,0.47928604,0.000059161808,0.00006784274,0.0000060668062,0.0014636125,0.097876675,0.000022329215,0.40309697,0.016885875,0.0004189029],"about_ca_topic_score_codex":0.000116058065,"about_ca_topic_score_gemma":0.0005087005,"teacher_disagreement_score":0.425592,"about_ca_system_score_codex":0.00024143685,"about_ca_system_score_gemma":0.00011191473,"threshold_uncertainty_score":0.3373167},"labels":[],"label_agreement":null},{"id":"W4417223159","doi":"10.1111/caje.70031","title":"Employment protection, temporary and permanent employment share, and procyclicality of labour productivity","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science and Technology Council","keywords":"Productivity; Incentive; Volatility (finance); Business cycle; Salient; Production (economics); Aggregate (composite)","score_opus":0.0915567482628204,"score_gpt":0.19841507587524976,"score_spread":0.10685832761242936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417223159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99064505,0.0013381,0.00013481466,0.004937483,0.0006132984,0.0005483483,0.0008895362,0.000005610433,0.0008877581],"genre_scores_gemma":[0.9981405,0.00028218626,0.0001914741,0.0003045284,0.00013254258,0.00003247443,0.0000088162515,0.000026073985,0.0008813875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975871,0.000055869816,0.0013975315,0.00051174784,0.000002712082,0.00044507487],"domain_scores_gemma":[0.9976609,0.0000615286,0.0009917831,0.0003967487,0.00016775371,0.0007213198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016116005,0.0002568716,0.00083604024,0.00067990203,0.00015605452,0.0001163738,0.00028043156,0.0001651239,0.00007255563],"category_scores_gemma":[0.00031688224,0.00031388062,0.00012531155,0.00017646358,0.00022531151,0.00038215704,0.000060125447,0.00030343325,0.0000018544465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060081606,0.000039188504,0.25066543,0.00020995726,0.00020052867,0.000013491205,0.0003930847,0.00010574371,0.000011458993,0.74607134,0.00006333828,0.0021663806],"study_design_scores_gemma":[0.000984873,0.0003075996,0.182751,0.00014444337,0.00002917156,0.00009304542,0.0001679182,0.0005918436,0.00014156531,0.77498645,0.03934494,0.00045716675],"about_ca_topic_score_codex":0.1759418,"about_ca_topic_score_gemma":0.6850584,"teacher_disagreement_score":0.50911665,"about_ca_system_score_codex":0.0010532445,"about_ca_system_score_gemma":0.00078513304,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W4417436952","doi":"10.2139/ssrn.5930656","title":"Winners and Losers: Competition, Creative Destruction, and Labor Income Risk","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Monopsony; Welfare; Downside risk; Profit (economics); Distribution (mathematics); Unemployment; Product market","score_opus":0.007086182901903583,"score_gpt":0.2204607153078278,"score_spread":0.21337453240592422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417436952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94320506,0.033410482,0.014761898,0.0018284887,0.0014415612,0.00053290307,0.0019983586,0.00003123586,0.0027900117],"genre_scores_gemma":[0.6810272,0.31587037,0.00049572263,0.00011144838,0.00034969012,0.000016867298,0.000044085587,0.000037950682,0.0020466992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99350315,0.00040338928,0.0020238739,0.0013201284,0.00014194776,0.0026074792],"domain_scores_gemma":[0.995822,0.00027650731,0.0025155048,0.0005981632,0.0004651155,0.0003226977],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0071482663,0.0007782519,0.0014627841,0.00081875955,0.0010721067,0.00069439545,0.0005434427,0.0006721392,0.00016841463],"category_scores_gemma":[0.0006593085,0.00090798707,0.00029213147,0.0006098797,0.00048348267,0.00052506843,0.00062170724,0.006897108,0.000012644087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014199968,0.00007577998,0.32212937,0.00014253169,0.0010922338,0.0000033555884,0.00043552843,0.00014321604,5.238721e-7,0.66977996,0.0000047256294,0.0060508116],"study_design_scores_gemma":[0.0016378028,0.0002924921,0.14848693,0.00025945896,0.00019763384,0.00017486115,0.0018263295,0.001909105,0.0000015291979,0.8427459,0.0017007765,0.0007671692],"about_ca_topic_score_codex":0.0023559048,"about_ca_topic_score_gemma":0.0023285092,"teacher_disagreement_score":0.2824599,"about_ca_system_score_codex":0.002615663,"about_ca_system_score_gemma":0.0023959605,"threshold_uncertainty_score":0.9993371},"labels":[],"label_agreement":null},{"id":"W4417503162","doi":"10.2139/ssrn.5937712","title":"Tuition Increases and Gender Sorting in STEM: Evidence from Canada’s Deregulation Reform","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Natural experiment; Incentive; Robustness (evolution); Exploit; Norwegian; Deregulation; Offset (computer science); Sorting","score_opus":0.03261226873497885,"score_gpt":0.24510038704942852,"score_spread":0.21248811831444966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417503162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94191086,0.045776833,0.008381431,0.001225614,0.0008531809,0.00040966776,0.00044347643,0.00001087828,0.0009880756],"genre_scores_gemma":[0.90739846,0.09133299,0.00012136445,0.00015066369,0.00033276758,0.000019150277,0.00008426602,0.000032075663,0.00052825],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99311703,0.00028681866,0.0026950517,0.0011229848,0.00021770145,0.0025604288],"domain_scores_gemma":[0.9962746,0.0003931531,0.0023771618,0.0005667517,0.00019771473,0.00019062484],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007874806,0.0005629005,0.0011206203,0.000531547,0.0004171468,0.00038416774,0.00058071123,0.0005036202,0.000073285184],"category_scores_gemma":[0.00050139445,0.000674889,0.0002032655,0.00036993736,0.00006317573,0.00064917636,0.0004890806,0.0043901154,0.000002672027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00024887844,0.00012852119,0.5686673,0.00032014988,0.00063311047,0.000016668255,0.0005334941,0.0016552571,0.0000070445685,0.40139556,0.0000074166264,0.02638661],"study_design_scores_gemma":[0.00065718725,0.000048391834,0.26207694,0.0006463136,0.00006751832,0.000030029634,0.0010795348,0.014036541,0.0000044764106,0.72072047,0.000059703125,0.00057290454],"about_ca_topic_score_codex":0.9077995,"about_ca_topic_score_gemma":0.96641535,"teacher_disagreement_score":0.31932488,"about_ca_system_score_codex":0.020461533,"about_ca_system_score_gemma":0.014721976,"threshold_uncertainty_score":0.99957025},"labels":[],"label_agreement":null},{"id":"W49532488","doi":"10.7202/018578ar","title":"New Technologies and the Gender Wage Gap","year":2008,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Labour economics; Business; Economics","score_opus":0.06407115318823613,"score_gpt":0.22503911603166132,"score_spread":0.16096796284342518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W49532488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8055978,0.011724857,0.019993098,0.017279698,0.00030684745,0.00041434457,0.00010600003,0.00024436816,0.14433302],"genre_scores_gemma":[0.9918494,0.0014261483,0.00091180066,0.000070089685,0.000041375464,0.000009062911,0.0000060933394,0.000009331642,0.0056766947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931216,0.000016814032,0.00031407343,0.00019132331,0.000026908825,0.00013873854],"domain_scores_gemma":[0.9993558,0.00017202248,0.0001374192,0.00028911332,0.000016303638,0.000029339348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035522698,0.000088871355,0.00017311561,0.00009703787,0.00030200664,0.000034693523,0.00014660759,0.00018897433,0.00014978208],"category_scores_gemma":[0.0003608397,0.00007077526,0.000046295278,0.00029662493,0.0002035232,0.0001100081,0.00007889841,0.00027871007,0.00008447543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059840527,0.000008255671,0.052005794,4.2260885e-7,0.000025073603,0.0000018145763,0.00035461993,0.000035514047,3.169396e-7,0.9413703,0.0027271335,0.0034647633],"study_design_scores_gemma":[0.0015235743,0.000014022561,0.050331973,0.000006205048,0.0000113106735,0.000024372324,0.00075364124,0.0022798553,0.000013201072,0.8130531,0.13172294,0.00026581754],"about_ca_topic_score_codex":0.00022223647,"about_ca_topic_score_gemma":0.000007911106,"teacher_disagreement_score":0.18625164,"about_ca_system_score_codex":0.000027622576,"about_ca_system_score_gemma":0.000036830133,"threshold_uncertainty_score":0.28861314},"labels":[],"label_agreement":null},{"id":"W54950079","doi":"10.1007/s12651-014-0164-3","title":"Overeducation among Swiss university graduates: determinants and consequences","year":2014,"lang":"en","type":"article","venue":"Journal for Labour Market Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Earnings; Wage; Demographic economics; Quarter (Canadian coin); Economics; Higher education; Duration (music); Labour economics; Psychology; Accounting; Economic growth","score_opus":0.07037546073579246,"score_gpt":0.3240074887849515,"score_spread":0.2536320280491591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W54950079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98975503,0.00022515903,0.00075421616,0.0018335225,0.00041229758,0.00022230657,0.0001614211,0.0000105055915,0.0066255517],"genre_scores_gemma":[0.98908854,0.0008894085,0.00051819,0.00004514751,0.00017676712,0.0000043434015,0.0000033425108,0.0000160871,0.009258203],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845207,0.0002492901,0.00039712642,0.00031915124,0.00011328634,0.00046909673],"domain_scores_gemma":[0.9982883,0.0006614681,0.0002733949,0.00021682133,0.0003314361,0.00022860248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009282371,0.000115167044,0.00028499434,0.00037919034,0.0006498408,0.00031137743,0.00031180994,0.00010510456,0.00020186986],"category_scores_gemma":[0.0016376878,0.000118850396,0.00008267089,0.00032277883,0.00029913173,0.00039254403,0.00008970078,0.0003849839,0.000010741374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018874065,0.00008002138,0.50942606,0.00012452506,0.000046352172,0.00001276712,0.00022717046,0.0000023566765,0.000033954413,0.48165017,0.0027929386,0.0054149623],"study_design_scores_gemma":[0.00063879124,0.00015126096,0.3962646,0.000041987056,0.000004003691,0.000026500871,0.00028887528,0.0034268217,0.000024524572,0.542825,0.056123264,0.00018435052],"about_ca_topic_score_codex":0.0005640677,"about_ca_topic_score_gemma":0.00019136058,"teacher_disagreement_score":0.11316142,"about_ca_system_score_codex":0.00017994814,"about_ca_system_score_gemma":0.00008460556,"threshold_uncertainty_score":0.4998116},"labels":[],"label_agreement":null},{"id":"W562716847","doi":"10.1093/restud/rdx045","title":"Applications and Interviews: Firms’ Recruiting Decisions in a Frictional Labour Market","year":2017,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Productivity; Portfolio; Matching (statistics); Function (biology); Labour economics; Microeconomics; Uniqueness; Econometrics; Macroeconomics; Financial economics; Mathematics","score_opus":0.10604418585296191,"score_gpt":0.3464150589321295,"score_spread":0.24037087307916757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W562716847","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14199421,0.7937726,0.0003030348,0.012206291,0.00045087317,0.0011338952,0.0005915883,0.000013951147,0.049533572],"genre_scores_gemma":[0.44330525,0.55557257,0.00022671293,0.00030371046,0.000057980393,0.00016970537,0.0000019404824,0.000007283769,0.00035484316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987081,0.00003828408,0.0008553797,0.00024903243,0.000016068649,0.00013312609],"domain_scores_gemma":[0.9980439,0.00046096457,0.00083025894,0.0006069352,0.00003328706,0.000024648538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026996213,0.000111165195,0.0006086027,0.000058096775,0.00026786703,0.000038946855,0.000383453,0.000026492831,0.0001401385],"category_scores_gemma":[0.0009232061,0.00008909503,0.000097772805,0.00004513368,0.00012761142,0.00013235118,0.00032159034,0.00009390946,0.000039264087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059873664,0.000030996,0.042488273,0.0011345986,0.0001526134,4.87803e-7,0.00026467096,0.0000015330417,2.8587914e-7,0.9172586,0.0012034967,0.03745846],"study_design_scores_gemma":[0.0004093771,0.000022058633,0.1873064,0.00336915,0.00002608616,0.000005535684,0.00031898313,0.0004353952,9.3139477e-7,0.5241257,0.28371534,0.00026508185],"about_ca_topic_score_codex":0.00017257787,"about_ca_topic_score_gemma":0.00020214288,"teacher_disagreement_score":0.39313293,"about_ca_system_score_codex":0.00008203945,"about_ca_system_score_gemma":0.000014122244,"threshold_uncertainty_score":0.36331898},"labels":[],"label_agreement":null},{"id":"W56395469","doi":"","title":"Différences internationales dans le travail peu rémunéré","year":2009,"lang":"fr","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.019659327231680377,"score_gpt":0.2234113500357552,"score_spread":0.20375202280407484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W56395469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68404216,0.015205541,0.026415477,0.027053274,0.0023941277,0.0001705568,0.00062950223,0.00005636289,0.24403301],"genre_scores_gemma":[0.81764495,0.003440693,0.0014955729,0.0011120432,0.00026294697,0.0000050679323,0.00004840572,0.000014714557,0.17597559],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808234,0.00005292489,0.00084166735,0.00053026376,0.00007136351,0.00042144844],"domain_scores_gemma":[0.99900377,0.00010069016,0.0003405177,0.00037658712,0.00006382662,0.0001146081],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085590873,0.00024084325,0.00043829213,0.00015409171,0.00016574885,0.00024315575,0.00048393215,0.00018651618,0.0019878834],"category_scores_gemma":[0.00011978174,0.0002905558,0.00021679781,0.0002674708,0.00017584361,0.00043787993,0.000055908655,0.00021837745,0.00036792413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010892651,0.0003961577,0.03317221,0.000020597461,0.000056634628,0.000009176703,0.0006467046,0.000062039515,0.000017064038,0.9285514,0.0013582602,0.0356989],"study_design_scores_gemma":[0.0006211406,0.0001525178,0.41241345,0.000049315546,0.000011305922,0.000009274573,0.0004054372,0.019055838,0.000036614747,0.42337528,0.14333057,0.00053924456],"about_ca_topic_score_codex":0.0031657673,"about_ca_topic_score_gemma":0.0018409421,"teacher_disagreement_score":0.50517607,"about_ca_system_score_codex":0.00015225216,"about_ca_system_score_gemma":0.00005341775,"threshold_uncertainty_score":0.99995464},"labels":[],"label_agreement":null},{"id":"W571820140","doi":"10.1111/caje.12140","title":"Changes in wage inequality in Canada: An interprovincial perspective","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Bank of Canada","keywords":"Wage dispersion; Economics; Inequality; Distribution (mathematics); Wage; Wage inequality; Perspective (graphical); Labour economics; Real wages; Dispersion (optics); Wages and salaries; Efficiency wage; Demographic economics","score_opus":0.15445595094516923,"score_gpt":0.20237026549097598,"score_spread":0.04791431454580675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571820140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99098825,0.0003602844,0.000028897055,0.0031119485,0.0017617325,0.00023983537,0.00086066744,0.0000032826165,0.0026451156],"genre_scores_gemma":[0.9984111,0.000054488766,0.00015412789,0.00084909145,0.00038184653,0.000014299939,0.000018748444,0.00004727609,0.00006897741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968635,0.0001148823,0.0015814259,0.0005343167,0.0000034949276,0.00090240507],"domain_scores_gemma":[0.99639463,0.00009451437,0.0009420644,0.00046517845,0.00020740004,0.0018962203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028997879,0.00030971286,0.0010612627,0.0012295571,0.000050697643,0.00011265794,0.00073824485,0.00018783147,0.00015110357],"category_scores_gemma":[0.0008248699,0.00041836643,0.00010534879,0.00030249928,0.00008940585,0.0006411472,0.000038154663,0.00057568884,0.000008973562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00008877919,0.000024034613,0.3478131,0.000012340557,0.00003160709,0.00033051198,0.0032643261,0.002719234,5.469389e-7,0.6450799,0.000040080722,0.00059550034],"study_design_scores_gemma":[0.0021250425,0.00042180126,0.09508142,0.000080279926,0.000007667185,0.00011218248,0.007780867,0.008863361,0.000010999886,0.8803099,0.004342724,0.0008637991],"about_ca_topic_score_codex":0.99916226,"about_ca_topic_score_gemma":0.999999,"teacher_disagreement_score":0.25273168,"about_ca_system_score_codex":0.027909094,"about_ca_system_score_gemma":0.011538576,"threshold_uncertainty_score":0.9998268},"labels":[],"label_agreement":null},{"id":"W571961152","doi":"","title":"International Employment Ranking 2000","year":2005,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Unemployment; Wage; International comparisons; Political science; Geography; Economics; Economy; Economic growth; Labour economics","score_opus":0.017733370315940834,"score_gpt":0.24577608315675642,"score_spread":0.2280427128408156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571961152","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004459649,0.0052228197,0.0019962937,0.008159296,0.0037775903,0.00015875202,0.00019318031,0.000053382577,0.97597903],"genre_scores_gemma":[0.030001564,0.0063676303,0.00030123995,0.0062635047,0.0014649086,0.000038289138,0.00048313377,0.00005352296,0.9550262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799436,0.00005191982,0.0008477288,0.00063226355,0.00009804668,0.0003756869],"domain_scores_gemma":[0.9989307,0.00020773271,0.0003681817,0.0002667406,0.00003301327,0.00019363847],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001276477,0.00025628705,0.00075350085,0.000270407,0.00006662425,0.00002286918,0.00043981159,0.001208591,0.017828494],"category_scores_gemma":[0.00028545648,0.0002730784,0.00012251016,0.000040780076,0.0003921792,0.00004989571,0.0002820917,0.00073453056,0.0004469016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003791446,0.000074940624,0.007305852,0.000022235832,0.00023749613,0.00017958626,0.00013802809,8.473614e-7,1.05012695e-7,0.9663375,0.0033257434,0.02233973],"study_design_scores_gemma":[0.0006616655,0.000055737102,0.001600739,0.00002248566,0.000012517498,0.000116074705,0.0000016142579,0.00038523856,1.4677894e-7,0.42325404,0.5736571,0.00023266122],"about_ca_topic_score_codex":0.00018040034,"about_ca_topic_score_gemma":0.00015661004,"teacher_disagreement_score":0.57033134,"about_ca_system_score_codex":0.00024243731,"about_ca_system_score_gemma":0.00017684433,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W578733605","doi":"10.2139/ssrn.2534364","title":"Front-Loading the Payment of Unemployment Benefits","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Payment; Unemployment; Front (military); Business; Economics; Labour economics; Finance; Engineering; Economic growth; Mechanical engineering","score_opus":0.014746140236592972,"score_gpt":0.21124671100981418,"score_spread":0.1965005707732212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W578733605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623852,0.0068829334,0.019235555,0.0024904679,0.00050649286,0.00013486554,0.00002860704,0.000013885208,0.008322007],"genre_scores_gemma":[0.9953975,0.0032504278,0.000068941394,0.00017559367,0.00018258039,0.0000048463476,0.000002506178,0.000017885934,0.0008996848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99796253,0.000050255447,0.00063155004,0.0001867928,0.00007208291,0.0010967823],"domain_scores_gemma":[0.9990403,0.00007331371,0.0005119453,0.00027748055,0.000043811273,0.000053131862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005010634,0.00012360376,0.000280945,0.00008259173,0.00016250384,0.0000486126,0.00036672695,0.000052684358,0.00010500697],"category_scores_gemma":[0.00011119268,0.000095399446,0.00014904256,0.000106652195,0.000035918645,0.00009207249,0.00005350456,0.0006551515,0.000056136538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001254332,0.000043048312,0.024700936,0.0000043055647,0.00009551174,1.2488059e-7,0.0001010648,0.00020438332,0.000009060142,0.96664184,0.00002775007,0.0081594335],"study_design_scores_gemma":[0.0004978056,0.00019141576,0.0070023783,0.000014299771,0.000011443371,0.000016927048,0.00016137172,0.0019451028,0.000038579117,0.9798386,0.010124122,0.00015793013],"about_ca_topic_score_codex":0.00022689931,"about_ca_topic_score_gemma":0.00038176985,"teacher_disagreement_score":0.03301235,"about_ca_system_score_codex":0.00047486715,"about_ca_system_score_gemma":0.00013153868,"threshold_uncertainty_score":0.38902763},"labels":[],"label_agreement":null},{"id":"W598985196","doi":"10.1007/s11205-016-1338-x","title":"Skills Heterogeneity Among Graduate Workers: Real and Apparent Overeducation in the Spanish Labor Market","year":2016,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad","keywords":"Wage; Educational attainment; Labour economics; Economics; Cognitive skill; Quarter (Canadian coin); Demographic economics; Cognition; Psychology","score_opus":0.09219214997779294,"score_gpt":0.35348210155228815,"score_spread":0.2612899515744952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W598985196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98578924,0.00012931498,0.00001987231,0.0034535122,0.00013865257,0.00036436834,0.0002716012,0.000013342261,0.009820126],"genre_scores_gemma":[0.99822617,0.00091020885,0.000019048874,0.00006865492,0.00020474903,0.000102547914,0.000011576101,0.000018870076,0.0004381898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794596,0.0004217926,0.00045173688,0.0004448278,0.00020786557,0.000527817],"domain_scores_gemma":[0.99895155,0.00040312737,0.00018725311,0.00030115136,0.000060022732,0.000096885546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00659472,0.00012472429,0.00024575664,0.00036689403,0.00033566984,0.00017120727,0.0003994287,0.00015366527,0.0001330173],"category_scores_gemma":[0.00045992198,0.000091999296,0.00006492297,0.00092210405,0.00042955257,0.0001951666,0.00014843723,0.0003453096,0.000036281424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002245418,0.00014694987,0.91847646,0.000015950052,0.000022398634,0.0000030541528,0.0018367609,4.4062023e-8,0.0000045015445,0.07315839,0.0014787877,0.0048342547],"study_design_scores_gemma":[0.0003115096,0.000024709707,0.9267557,0.000017346607,0.0000015020753,3.397818e-7,0.00061387685,0.0000106255075,0.000012294246,0.07025218,0.0018723735,0.00012750157],"about_ca_topic_score_codex":0.0022434215,"about_ca_topic_score_gemma":0.0009071837,"teacher_disagreement_score":0.012436945,"about_ca_system_score_codex":0.00027899706,"about_ca_system_score_gemma":0.00007618792,"threshold_uncertainty_score":0.37516224},"labels":[],"label_agreement":null},{"id":"W602133617","doi":"10.2791/99944","title":"Earning Profiles for Italian Male Workers: Is There Evidence of a Premium for Education?","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Cohort effect; Economics; Cohort; Wage; Demographic economics; Inequality; Percentile; Differential (mechanical device); Labour economics; Medicine","score_opus":0.08396336155478644,"score_gpt":0.3524843716169534,"score_spread":0.26852101006216694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W602133617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94474,0.006996182,0.00040347766,0.0012875798,0.0014860331,0.004644312,0.0023536724,0.000028977918,0.038059745],"genre_scores_gemma":[0.9774137,0.004957822,0.006616798,0.00007326059,0.00046091666,0.002421691,0.00013864234,0.00010267839,0.007814503],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99645156,0.00009914866,0.0014433523,0.0010688097,0.00007921988,0.00085793104],"domain_scores_gemma":[0.9960515,0.0012382066,0.0010238204,0.0012021543,0.00030630556,0.000178049],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056737736,0.00033857577,0.00092555076,0.0005010611,0.00014963932,0.00017274299,0.000917868,0.0005376331,0.00027037296],"category_scores_gemma":[0.0017944954,0.00040740304,0.0004206419,0.00016366236,0.00019227716,0.00028142775,0.00058038626,0.00073422753,0.000010240514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006216343,0.0008331204,0.8103881,0.006673563,0.0004321666,8.8697493e-7,0.0022465289,0.0010913955,0.000039965365,0.102326095,0.0005652899,0.07478125],"study_design_scores_gemma":[0.0031283882,0.0007895614,0.15230203,0.007183672,0.00009238104,0.000010005075,0.005185868,0.038920432,0.0005566082,0.6161773,0.17197567,0.0036780408],"about_ca_topic_score_codex":0.00034545385,"about_ca_topic_score_gemma":0.000111682675,"teacher_disagreement_score":0.65808606,"about_ca_system_score_codex":0.0007830608,"about_ca_system_score_gemma":0.0007846204,"threshold_uncertainty_score":0.99983776},"labels":[],"label_agreement":null},{"id":"W603819352","doi":"10.71781/24227","title":"Les déterminants de l'accès à l'emploi chez les jeunes diplômés de la formation professionnelle au Maroc","year":2008,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.056283723417221314,"score_gpt":0.3303626126756345,"score_spread":0.27407888925841317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W603819352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530442,0.0010933738,0.00088100304,0.0002710093,0.00091317145,0.0008238756,0.0010540147,0.000005303438,0.041914053],"genre_scores_gemma":[0.94616985,0.0026415337,0.0060718437,0.000038038055,0.00022990999,0.00014198947,0.0015138984,0.0000858643,0.043107044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659854,0.00033948792,0.0014082562,0.0007671748,0.0001043376,0.00078221445],"domain_scores_gemma":[0.99730647,0.0003611177,0.0014858774,0.000536582,0.00011849294,0.0001914791],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025457812,0.00052915706,0.00092815596,0.00028356598,0.0009877724,0.0005465419,0.0010622294,0.00093959674,0.0027979477],"category_scores_gemma":[0.00044893904,0.00061782246,0.0002578506,0.00031980666,0.00016588163,0.0008240138,0.00029397474,0.0006609442,0.00033431884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002622439,0.0006144461,0.8052699,0.00057594804,0.00014569287,0.00008993664,0.02639751,0.00009976944,0.00019819304,0.0037676722,0.0004335884,0.16214511],"study_design_scores_gemma":[0.0019538503,0.00016069692,0.87093425,0.0012144039,0.000105056366,0.000098030585,0.012714986,0.018246528,0.0025687546,0.011969405,0.07825889,0.0017751561],"about_ca_topic_score_codex":0.011232614,"about_ca_topic_score_gemma":0.007911902,"teacher_disagreement_score":0.16036995,"about_ca_system_score_codex":0.0008928109,"about_ca_system_score_gemma":0.0004982247,"threshold_uncertainty_score":0.9996273},"labels":[],"label_agreement":null},{"id":"W638611635","doi":"","title":"Determinants of Employment-Related Informal and Formal Learning in Canada.","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Informal learning; Formal learning; Labour economics; Sociology; Political science; Economics; Economic growth; Pedagogy","score_opus":0.0213265192689399,"score_gpt":0.19787902746689642,"score_spread":0.17655250819795654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638611635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628171,0.00007309685,0.000048491314,0.000008659827,0.00007577317,0.000058597147,0.000020631154,0.000006102357,0.03689158],"genre_scores_gemma":[0.9992753,0.000056270434,0.00014504902,0.00004162963,0.0000022991794,0.0000026172304,0.0000024455758,0.000006097172,0.0004682637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990563,0.000006954301,0.00059115863,0.000115511655,0.00002041798,0.00020967874],"domain_scores_gemma":[0.9996271,0.000018430685,0.00020566907,0.00009168956,0.000012855372,0.000044269305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041640687,0.000071614835,0.0002262951,0.00008999241,0.000025165145,0.000006365095,0.00007847627,0.00004083372,0.00025673825],"category_scores_gemma":[0.000043257758,0.00007513306,0.000018470557,0.00011207495,0.000019176687,0.00024645275,0.00006701895,0.00009453731,0.0000037617042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011217961,0.000011142902,0.9415856,0.000012067729,0.0000054855814,0.0000034431257,0.0003461734,0.0000077248515,6.281543e-7,0.055156037,0.0000016607497,0.0028587894],"study_design_scores_gemma":[0.00040911866,0.00003546949,0.9854553,0.000007138022,0.0000010353036,0.0000019715185,0.00013979788,0.008820789,0.000043956115,0.004696545,0.0002752578,0.00011361786],"about_ca_topic_score_codex":0.82469606,"about_ca_topic_score_gemma":0.8204058,"teacher_disagreement_score":0.050459493,"about_ca_system_score_codex":0.000053854546,"about_ca_system_score_gemma":0.000078610574,"threshold_uncertainty_score":0.30638373},"labels":[],"label_agreement":null},{"id":"W651986580","doi":"","title":"Employment and shared growth: re-thinking the role of labour mobility for development","year":2007,"lang":"en","type":"book","venue":"UEA Digital Repository (University of East Anglia)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Labour economics; Sociology; Psychology; Economics","score_opus":0.01875112514971113,"score_gpt":0.18429935555831203,"score_spread":0.1655482304086009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651986580","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46969092,0.0043296195,0.0023733485,0.00014351044,0.000515097,0.0012342589,0.0045158537,0.0000639224,0.5171335],"genre_scores_gemma":[0.8003006,0.000056008063,0.0009498596,0.000027252225,0.000085065294,0.0000018259874,0.00016517847,0.00003848288,0.19837572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867105,0.000010339275,0.00052482536,0.00045270746,0.000120474666,0.00022062383],"domain_scores_gemma":[0.9982618,0.00012938707,0.0009087581,0.00037552448,0.00023787758,0.00008662205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005215348,0.00021871923,0.0005514269,0.00013967972,0.00023593618,0.00008383337,0.0004443744,0.0002320999,0.000021676355],"category_scores_gemma":[0.00006168025,0.00025025962,0.00022882738,0.000092865885,0.00022137548,0.0002917863,0.00030231976,0.00016020861,0.0000042727956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005890127,0.00057791756,0.108176075,0.0014124295,0.0010845327,0.000043790664,0.007191811,0.000011492452,0.00003188173,0.8677738,0.0011853687,0.011921933],"study_design_scores_gemma":[0.0014078653,0.00030077033,0.06443568,0.00042039287,0.0000869401,0.000010143427,0.0026502963,0.0003002512,0.00011071606,0.4727394,0.4564245,0.0011130442],"about_ca_topic_score_codex":0.00022927563,"about_ca_topic_score_gemma":0.00009620379,"teacher_disagreement_score":0.45523915,"about_ca_system_score_codex":0.00024952806,"about_ca_system_score_gemma":0.00012618511,"threshold_uncertainty_score":0.999995},"labels":[],"label_agreement":null},{"id":"W652441083","doi":"","title":"The impact of the PDEF on the labour market outcomes of «high-skilled» workers in Senegal","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Population; Business; Economic growth; Economics; Demographic economics; Labour economics; Sociology; Demography","score_opus":0.026135263695429355,"score_gpt":0.23049326950019108,"score_spread":0.20435800580476174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W652441083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263422,0.000061410145,0.000025895886,0.0009757791,0.00024808684,0.0002197244,0.00017917587,0.000005793532,0.07194192],"genre_scores_gemma":[0.99623364,0.00009866498,0.000049654187,0.00014350664,0.000012990262,0.000010612177,6.959049e-7,0.000013904686,0.0034363086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870706,0.00010204327,0.0006859487,0.00019390529,0.00005994353,0.00025109804],"domain_scores_gemma":[0.99809676,0.00059243327,0.00045997268,0.0007799649,0.000040728413,0.000030113652],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002049197,0.0001492517,0.00036859,0.00006822508,0.0000900979,0.000025969557,0.00061722234,0.00007515276,0.0009988265],"category_scores_gemma":[0.0004681217,0.00006491992,0.000287017,0.00037517512,0.00014512744,0.000060072147,0.00012632301,0.00018361947,0.000013108731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048637932,0.000067203706,0.6091034,0.0000029977243,0.000065279826,2.1462272e-7,0.00013735404,0.000025196583,6.9229526e-7,0.39018738,0.00024463658,0.00011704754],"study_design_scores_gemma":[0.00026873083,0.000040020474,0.8871025,0.00000897986,0.000002398447,2.0671496e-7,0.00017649514,0.00039733588,0.00002541328,0.111746505,0.0001462114,0.00008521695],"about_ca_topic_score_codex":0.018838396,"about_ca_topic_score_gemma":0.0013558802,"teacher_disagreement_score":0.27844086,"about_ca_system_score_codex":0.00007009811,"about_ca_system_score_gemma":0.000039812236,"threshold_uncertainty_score":0.9999144},"labels":[],"label_agreement":null},{"id":"W6888946928","doi":"10.25318/36280001202300500001-eng","title":"Unemployment and job vacancies by education, 2016 to 2022","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Job loss; Structural unemployment; Flexicurity; Part-time employment","score_opus":0.17508145027843483,"score_gpt":0.48590640899927867,"score_spread":0.3108249587208438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888946928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96500903,0.021865277,0.00022311886,0.0020050837,0.001128858,0.0004153511,0.00072948704,0.000035390527,0.008588405],"genre_scores_gemma":[0.94876355,0.03749413,0.00012989598,0.001391919,0.0001736235,0.00011968386,0.000044881373,0.00005805988,0.011824246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979441,0.00006437605,0.0009819659,0.00050478434,0.00014131391,0.00036342785],"domain_scores_gemma":[0.9983037,0.00016903997,0.0006273516,0.0004505579,0.00015677726,0.00029258858],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022053474,0.00022343113,0.00063039415,0.00080291147,0.0002145419,0.00097622944,0.0013044869,0.00008093462,0.0051241256],"category_scores_gemma":[0.00037689006,0.00023536074,0.00009650418,0.001384512,0.00005711837,0.0010125486,0.0008466788,0.00018969957,0.00011868145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029497845,0.000111847155,0.67200863,0.000055254783,0.00008289772,0.0000024164126,0.00015128711,0.00002392399,0.0010505257,0.010790631,0.3086169,0.0070761656],"study_design_scores_gemma":[0.00021237538,0.000008393075,0.6482467,0.0000806044,0.000008595064,0.0000013354081,0.00006331009,0.000076790224,0.00025766157,0.106392585,0.24432023,0.00033144408],"about_ca_topic_score_codex":0.003082034,"about_ca_topic_score_gemma":0.00009294805,"teacher_disagreement_score":0.09560195,"about_ca_system_score_codex":0.00013883988,"about_ca_system_score_gemma":0.00012474613,"threshold_uncertainty_score":0.9957853},"labels":[],"label_agreement":null},{"id":"W6893983457","doi":"10.5281/zenodo.6901546","title":"BiAPoL/napari-crop: 0.1.6","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Order (exchange); Layer (electronics); Relation (database); Product (mathematics); Term (time)","score_opus":0.04239780575069939,"score_gpt":0.22523112717393898,"score_spread":0.1828333214232396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893983457","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025144368,0.00084072875,0.0009392123,0.00043972733,0.00041347803,0.00039690195,0.0056299577,0.0009286939,0.99015987],"genre_scores_gemma":[0.0329788,0.0015035813,0.0004393852,0.0007167236,0.00084490573,3.059856e-7,0.015088231,0.022576354,0.9258517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804103,0.0001671504,0.00048215358,0.00073913956,0.0001357448,0.0004347622],"domain_scores_gemma":[0.998394,0.000016130321,0.0004652078,0.00088472164,0.00008226415,0.00015765752],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011329283,0.00024413531,0.000402308,0.00060135336,0.0011929296,0.0006419798,0.0014125083,0.00016660734,0.44757035],"category_scores_gemma":[0.00043983906,0.00031045204,0.0001248442,0.00060557085,0.0001272775,0.00009175571,0.0016370028,0.0004885357,0.022967046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011709582,0.000100636025,0.000014544106,0.00007313095,0.00008325546,0.000012207396,0.0001319352,0.000005856048,0.000005014872,0.23730092,0.7562142,0.0060465736],"study_design_scores_gemma":[0.0003441124,0.00008509101,0.00010514096,0.000015912046,0.0000074642844,0.000016975298,0.00004321997,0.000121854086,8.566786e-7,0.006287545,0.9926125,0.00035932925],"about_ca_topic_score_codex":0.00029895562,"about_ca_topic_score_gemma":0.000002928536,"teacher_disagreement_score":0.4246033,"about_ca_system_score_codex":0.00030699128,"about_ca_system_score_gemma":0.0000036092374,"threshold_uncertainty_score":0.99993473},"labels":[],"label_agreement":null},{"id":"W6902826219","doi":"10.7910/dvn/27923","title":"Replication data for: National estimates of gross employment and job flows from the Quarterly Workforce Indicators with demographic and industry detail","year":2014,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Workforce; Earnings; Investment (military); Quarter (Canadian coin); Replication (statistics); Business cycle; Longitudinal data; Wages and salaries","score_opus":0.036344192953234655,"score_gpt":0.25637277688599824,"score_spread":0.2200285839327636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902826219","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049431212,0.000041713633,0.0012074433,0.000044894226,0.000097749835,0.00039225424,0.94875294,0.000010444812,0.000021348189],"genre_scores_gemma":[0.0136179635,0.00029896316,0.0013006022,0.00021626287,0.000111762834,0.000059733535,0.9843583,0.000022479608,0.000013929858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813926,0.00003545795,0.000637153,0.00088079326,0.00011162878,0.00019572915],"domain_scores_gemma":[0.9961001,0.0004436352,0.0008433005,0.002467457,0.00005893679,0.00008656749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016015815,0.00024946957,0.00046707262,0.00016814187,0.00016257747,0.00016363405,0.00086839404,0.00034512923,0.0002435964],"category_scores_gemma":[0.00042119922,0.00020725299,0.000037568345,0.00020258312,0.00019594604,0.00030687763,0.00030141484,0.000344509,0.000057113022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012154128,0.00007809267,0.0912798,0.00016760762,0.00036646723,0.000001345822,0.00006436663,0.0000056866897,8.572552e-7,0.012770564,0.8937212,0.0014224245],"study_design_scores_gemma":[0.00054690667,0.00007964124,0.028131574,0.000070832124,0.00007734053,0.0000025224338,0.000028054474,0.0017493934,4.1918133e-7,0.009241544,0.9598174,0.0002543804],"about_ca_topic_score_codex":0.0010721956,"about_ca_topic_score_gemma":0.0016563558,"teacher_disagreement_score":0.06609614,"about_ca_system_score_codex":0.00003236793,"about_ca_system_score_gemma":0.000053322954,"threshold_uncertainty_score":0.84515315},"labels":[],"label_agreement":null},{"id":"W6906454042","doi":"10.17605/osf.io/sh7fx","title":"Tuition Fees and Educational Attainment","year":2023,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Directory; Quarter (Canadian coin); Census","score_opus":0.02232837157781349,"score_gpt":0.24956215589765293,"score_spread":0.22723378431983943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906454042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6535517,0.0000049465684,0.00061510765,0.0024154584,0.00032539648,0.0002799726,0.00010797679,0.00007351179,0.34262595],"genre_scores_gemma":[0.8926763,0.00035711552,0.0003662772,0.00018571931,0.00008593879,0.00013199073,0.00007528445,0.000022887143,0.10609852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977946,0.00008369419,0.00054510246,0.0012025052,0.00007834434,0.00029570248],"domain_scores_gemma":[0.99812883,0.00027818224,0.00022938507,0.0011843379,0.000046030775,0.00013325126],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004230807,0.00015903635,0.00027078282,0.0001903994,0.00016315955,0.00012491104,0.00033863224,0.0001114202,0.17144926],"category_scores_gemma":[0.0012691667,0.00020176274,0.000089370886,0.00027878553,0.00008378747,0.0002103429,0.0005738279,0.00017043261,0.51120186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002585426,0.00017840022,0.3684176,0.000085845706,0.00008742229,0.0000046314776,0.0007386735,0.00025943926,0.00015651851,0.6167926,0.008119611,0.005133406],"study_design_scores_gemma":[0.00029649417,6.458699e-7,0.47914255,0.000016875418,0.0000060308726,0.0000048825923,0.00005827665,0.0023336927,0.00007287575,0.46121746,0.056610722,0.00023947867],"about_ca_topic_score_codex":0.000255389,"about_ca_topic_score_gemma":0.000027161992,"teacher_disagreement_score":0.33975255,"about_ca_system_score_codex":0.00017746894,"about_ca_system_score_gemma":0.000039784456,"threshold_uncertainty_score":0.82930815},"labels":[],"label_agreement":null},{"id":"W6907797199","doi":"10.25318/36280001202100400001-fra","title":"Tendances relatives à l’inégalité des gains entre les lieux de travail dans 14 pays à revenu élevé","year":2021,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Work (physics); Public policy","score_opus":0.016192061297303387,"score_gpt":0.24419876993187697,"score_spread":0.2280067086345736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907797199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4912928,0.08230516,0.2565371,0.0067817257,0.004188996,0.00051125523,0.1372667,0.000057484365,0.021058755],"genre_scores_gemma":[0.9007922,0.013663618,0.017181441,0.00019622261,0.00021770762,0.00003015329,0.0030856137,0.000074574884,0.06475849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974004,0.00022948724,0.0009430426,0.00060808775,0.00017684708,0.0006421408],"domain_scores_gemma":[0.9977023,0.00071507035,0.0005980607,0.00037330107,0.00038816096,0.0002231018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087684277,0.00031968325,0.0005011403,0.00008350274,0.00044343836,0.00017132061,0.00023055954,0.00021679347,0.00072240934],"category_scores_gemma":[0.0022551198,0.0004318358,0.00008273818,0.00050214963,0.00023828966,0.0002149288,0.00006414765,0.00035039397,0.000008002499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016500826,0.00020836391,0.10315032,0.00068761554,0.00015843066,0.00030719934,0.0036868074,0.00019628342,0.00014084147,0.76237005,0.056810718,0.0722669],"study_design_scores_gemma":[0.00041312352,0.00006242205,0.75318015,0.0005159558,0.00009559121,0.000029356182,0.004686646,0.006876627,0.0004082057,0.16529882,0.06762366,0.0008094353],"about_ca_topic_score_codex":0.105773516,"about_ca_topic_score_gemma":0.7746746,"teacher_disagreement_score":0.6689011,"about_ca_system_score_codex":0.0016671682,"about_ca_system_score_gemma":0.0006641313,"threshold_uncertainty_score":0.9998133},"labels":[],"label_agreement":null},{"id":"W6908003","doi":"","title":"La duración y la probabilidad de salida del desempleo: análisis de los factores determinantes mediante la aplicación de modelos de supervivencia","year":2002,"lang":"es","type":"article","venue":"Revista universitaria de ciencias del trabajo","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Quarter (Canadian coin); Welfare economics; Economics; Geography; Physics; Economic growth","score_opus":0.02410675697292351,"score_gpt":0.23637519191515136,"score_spread":0.21226843494222786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512204,0.0027908892,0.03548978,0.0005496854,0.00006773735,0.00055107713,0.0019592016,0.00012735467,0.0072439043],"genre_scores_gemma":[0.9862389,0.0067297453,0.0060522277,0.00036241527,0.00012447912,0.000020854051,0.000038251732,0.000104331484,0.0003287996],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946846,0.0009029573,0.0011119719,0.0012325915,0.00023566232,0.0018322355],"domain_scores_gemma":[0.9958534,0.0014553806,0.0006441841,0.000994172,0.00019588578,0.00085693167],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038014918,0.00077677984,0.0011731165,0.00065255986,0.00054363214,0.00084051845,0.0015624225,0.0009756917,0.00034791444],"category_scores_gemma":[0.0013570862,0.00094777404,0.00069535116,0.0011019884,0.00050907634,0.0008800722,0.00029251358,0.0010030363,0.000040013776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013057307,0.00087385724,0.65067106,0.0008283601,0.00029393646,0.0012802131,0.0073485402,0.0014050752,0.00061884534,0.33175492,0.00038170847,0.0044128993],"study_design_scores_gemma":[0.0027299451,0.00039557813,0.43782538,0.0009779705,0.00062470714,0.0008202578,0.0030929495,0.4989234,0.00018594814,0.03690776,0.014745432,0.002770655],"about_ca_topic_score_codex":0.0013928094,"about_ca_topic_score_gemma":0.00028284537,"teacher_disagreement_score":0.49751833,"about_ca_system_score_codex":0.0028008448,"about_ca_system_score_gemma":0.00076168095,"threshold_uncertainty_score":0.99929726},"labels":[],"label_agreement":null},{"id":"W6908057837","doi":"10.25384/sage.22002351","title":"sj-pdf-1-wes-10.1177_09500170221146916 – Supplemental material for Are All the Stable Jobs Gone? The Transformation of the Worker–Firm Relationship and Trends in Job Tenure Duration and Separations in Canada, 1976–2015","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Transformation (genetics); Job loss; Part-time employment","score_opus":0.06995960951276303,"score_gpt":0.2914468660506465,"score_spread":0.22148725653788348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908057837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943064,0.0011846331,0.00020169784,0.021996507,0.00028842568,0.00048883085,0.032422733,0.000004741213,0.00034848045],"genre_scores_gemma":[0.9973151,0.0009525823,0.000034817316,0.00010726471,0.00004987159,0.000033763932,0.0011368825,0.000009848298,0.00035988353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985675,0.00010586029,0.00083408714,0.00019152515,0.00009296592,0.0002080474],"domain_scores_gemma":[0.99884826,0.00023250747,0.00044486215,0.0004158363,0.000026144602,0.000032369666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029447812,0.0001056234,0.00020647609,0.00014052418,0.0002458759,0.00015592165,0.0003053311,0.000054558852,0.000643063],"category_scores_gemma":[0.00015804946,0.00006974165,0.000028863802,0.000510548,0.000039964787,0.000519756,0.00010599953,0.00018131976,0.0000016543106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014606779,0.00005174652,0.9660006,0.00006416632,0.00010335169,0.000003595061,0.0026673435,0.00064784527,0.00008233129,0.006422962,0.018576153,0.0052338187],"study_design_scores_gemma":[0.0007403514,0.000012793935,0.9588913,0.00006127412,0.000016671593,0.000004803101,0.0011569216,0.01781679,0.000008131768,0.0077017834,0.013488458,0.00010076924],"about_ca_topic_score_codex":0.052995708,"about_ca_topic_score_gemma":0.7115196,"teacher_disagreement_score":0.65852386,"about_ca_system_score_codex":0.00013113665,"about_ca_system_score_gemma":0.00008042784,"threshold_uncertainty_score":0.9533105},"labels":[],"label_agreement":null},{"id":"W6922300211","doi":"10.1184/r1/6705392.v1","title":"Estimating a Dynamic Adverse-Selection Model: Labor-Force Experience and the Changing Gender Earnings Gap 1968- 97.","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Rochester; Northwestern University; York University; University of Pennsylvania; University of Minnesota; Purdue University","keywords":"Earnings; Statistical discrimination; Imperfect; Productivity; Human capital; Gender gap; Gender pay gap","score_opus":0.048652563044510315,"score_gpt":0.2601872922107544,"score_spread":0.21153472916624405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922300211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90932137,0.0011292093,0.024517782,0.0005544453,0.00056266977,0.0010427311,0.04223783,0.00052545365,0.020108486],"genre_scores_gemma":[0.99579144,0.0000086918535,0.0017108015,0.00043506103,0.00012951976,0.00013123559,0.0009311797,0.000037551836,0.0008245079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988781,0.000023577824,0.00032909802,0.00038147043,0.00005099764,0.0003367101],"domain_scores_gemma":[0.99925363,0.00007738287,0.00029814936,0.00022579638,0.00008718048,0.00005784638],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037952804,0.00015190829,0.00022233525,0.000111833906,0.00032556627,0.00010470829,0.00019290716,0.00008357633,0.005300732],"category_scores_gemma":[0.00089216395,0.0001376416,0.000061062914,0.00035814373,0.000044330936,0.000269607,0.00015196778,0.00016609856,0.00025947986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075955986,0.00029967845,0.051968098,0.002196271,0.00060266996,0.000033822424,0.19657238,0.055222142,0.00021611074,0.66404957,0.008944167,0.019135553],"study_design_scores_gemma":[0.00042865414,0.000015621381,0.0030912694,0.00009653217,0.0000030021315,0.000004060564,0.00015782236,0.9794488,0.0000075898574,0.014695442,0.0018483317,0.00020290526],"about_ca_topic_score_codex":0.000046486683,"about_ca_topic_score_gemma":0.000017210688,"teacher_disagreement_score":0.92422664,"about_ca_system_score_codex":0.000070230075,"about_ca_system_score_gemma":0.000019632967,"threshold_uncertainty_score":0.99560857},"labels":[],"label_agreement":null},{"id":"W6927631608","doi":"10.34989/san-2022-10","title":"Has wage setting changed in Canada? Evidence from the pre-pandemic 2020 Wage-Setting Survey","year":2022,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Wage; Current Population Survey; Work (physics); Government (linguistics); Unemployment","score_opus":0.13121760589306022,"score_gpt":0.29633145251850534,"score_spread":0.16511384662544512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927631608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98297036,0.0033898512,0.000014239406,0.008483105,0.00034853746,0.0004061281,0.0038041722,0.0000057776015,0.0005778505],"genre_scores_gemma":[0.9988011,0.00014164655,0.00003562428,0.0003717465,0.000081734666,0.00008000912,0.00009084938,0.00002704545,0.00037023536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612653,0.0010165486,0.00087649055,0.0005620852,0.0005939171,0.00082442624],"domain_scores_gemma":[0.99462515,0.0040871203,0.0003290426,0.000680502,0.00014524655,0.00013296533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015838465,0.00015240737,0.00041509722,0.00012105045,0.0006098832,0.00008278806,0.0011287642,0.000046007768,0.0008401379],"category_scores_gemma":[0.004335965,0.00015509069,0.000045780747,0.0010431308,0.000077768615,0.00011434752,0.0006675544,0.0010240624,0.000001474114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091164184,0.000019225557,0.9789851,0.000029252064,0.000038013342,0.00005937364,0.000616061,0.0008380977,0.000047186644,0.00078470266,0.016378814,0.0021130168],"study_design_scores_gemma":[0.00028621752,0.00002983829,0.9782359,0.00004610738,0.000001609135,0.0000012063632,0.0006084387,0.010472983,0.000028286326,0.0016740797,0.008410711,0.00020459601],"about_ca_topic_score_codex":0.99985284,"about_ca_topic_score_gemma":0.99993867,"teacher_disagreement_score":0.01583077,"about_ca_system_score_codex":0.003285762,"about_ca_system_score_gemma":0.007096433,"threshold_uncertainty_score":0.9985324},"labels":[],"label_agreement":null},{"id":"W6931297364","doi":"10.5281/zenodo.5322131","title":"Anaphothrips geleznowiae Mound & Masumoto 2009, sp. n.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seta; Wing; Fibrous joint; Basal (medicine); Apex (geometry)","score_opus":0.038908793400724,"score_gpt":0.2264811836676227,"score_spread":0.1875723902668987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931297364","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19957966,0.0008306491,0.008836231,0.0030284752,0.00028376633,0.0005584235,0.001567522,0.0007963759,0.7845189],"genre_scores_gemma":[0.9951034,0.00032185897,0.00037773704,0.00062541163,0.00015919654,3.0741028e-8,0.0007181282,0.00058124523,0.0021129951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983602,0.00008665187,0.00048596738,0.0005243074,0.00010283256,0.00044001284],"domain_scores_gemma":[0.99878657,0.000014481787,0.000208326,0.00059909624,0.00020683941,0.00018470081],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012053542,0.00016345027,0.0002525656,0.00026612813,0.0011072982,0.00077903375,0.00084712,0.00008839517,0.012207734],"category_scores_gemma":[0.0004036861,0.0001968484,0.00008793276,0.00058476976,0.00008026707,0.00031470778,0.00029612225,0.00025178478,0.009100531],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072124014,0.0003295269,0.0001300393,0.00003650511,0.000055300294,0.000024566516,0.00054455386,0.00005397382,0.0004790124,0.8699032,0.07279513,0.055576038],"study_design_scores_gemma":[0.00043163873,0.00017212535,0.007105382,0.000009703838,0.0000034689328,0.000023176855,0.00004889634,0.0008152244,0.000031237076,0.040162828,0.95094466,0.00025167962],"about_ca_topic_score_codex":0.00005122473,"about_ca_topic_score_gemma":7.109676e-7,"teacher_disagreement_score":0.8781495,"about_ca_system_score_codex":0.00017915847,"about_ca_system_score_gemma":0.0000021406588,"threshold_uncertainty_score":0.991671},"labels":[],"label_agreement":null},{"id":"W6938998652","doi":"10.60692/g3a06-64812","title":"Labor mobility, economic shocks and jobless growth evidence from panel data in Morocco†","year":2015,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Quarter (Canadian coin); Point (geometry); Labor mobility; Population; Longitudinal data; Secondary labor market","score_opus":0.13861380708662205,"score_gpt":0.24399723399317194,"score_spread":0.10538342690654989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6938998652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98891217,0.000099037796,0.0036616768,0.0001647589,0.0004813257,0.0002866708,0.004750046,0.00005595634,0.0015883549],"genre_scores_gemma":[0.99931437,0.0000072325265,0.00027522576,0.00012289807,0.00007412443,0.000030000723,0.00013363072,0.000010923243,0.000031590465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809474,0.00004889324,0.001163627,0.0003900642,0.00006497497,0.00023771123],"domain_scores_gemma":[0.9983476,0.000035436486,0.00048689827,0.0009161384,0.000072923904,0.00014104924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021034318,0.00018028505,0.00043371014,0.00022313777,0.000047216523,0.00032519855,0.00051008177,0.00013123566,0.00002496081],"category_scores_gemma":[0.00016932488,0.00018536631,0.00002868414,0.00014991207,0.00003590551,0.00236442,0.00039217976,0.000114600276,0.00047875996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003988015,0.0000026568655,0.9814091,0.00012159384,0.000018139577,0.0000016086107,0.011252868,0.0000959363,5.7613207e-8,0.0069565005,0.000033441498,0.00006825722],"study_design_scores_gemma":[0.0014604514,0.000029186835,0.89012146,0.00016829894,0.000009549019,0.0000063218768,0.0047596092,0.10094559,0.00000826804,0.0017431173,0.00031906963,0.00042904707],"about_ca_topic_score_codex":0.0025663918,"about_ca_topic_score_gemma":0.000038156544,"teacher_disagreement_score":0.10084966,"about_ca_system_score_codex":0.00031857516,"about_ca_system_score_gemma":0.00005465891,"threshold_uncertainty_score":0.7559019},"labels":[],"label_agreement":null},{"id":"W6944305178","doi":"10.18718/81781.43","title":"Why don’t Firms Hire Young Workers during Recessions? A Replication of Forsythe (The Economic Journal, 2022)","year":2025,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Bank of Canada; University of Ottawa","funders":"","keywords":"Replicate; Unemployment; Robustness (evolution); Replication (statistics); Current Population Survey; Metropolitan area; Population; Sample (material); Statistical analysis","score_opus":0.013806530079448124,"score_gpt":0.2400085903041521,"score_spread":0.22620206022470396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944305178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96799034,0.003239671,0.0007541413,0.004602805,0.0032157411,0.00041600087,0.00024899357,0.00005259414,0.019479733],"genre_scores_gemma":[0.99368,0.0013870406,0.00031768327,0.00055654807,0.00024278529,0.00007407317,0.000019729741,0.000040121467,0.0036820008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967638,0.00010970613,0.0017780254,0.00079256744,0.000066671986,0.0004892315],"domain_scores_gemma":[0.99645174,0.00030074597,0.0015087147,0.0015120412,0.00008512559,0.00014163333],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025768096,0.0003222756,0.0007434332,0.0004898721,0.0006201677,0.0001920189,0.0008238811,0.00023820606,0.0015140753],"category_scores_gemma":[0.00045616092,0.00030297926,0.0004066756,0.00042948333,0.00030556056,0.00050187286,0.00020106082,0.00052891264,0.00011313109],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006342393,0.0000611376,0.93085915,0.000061085695,0.00021269344,0.0000032796347,0.00022648275,0.00014108402,0.000052346262,0.05667854,0.010988259,0.00065254787],"study_design_scores_gemma":[0.0024870434,0.000090018824,0.78069186,0.0003979648,0.00008988235,0.00012118072,0.00092492206,0.0035518312,0.0003611073,0.08155748,0.1286821,0.0010446154],"about_ca_topic_score_codex":0.00083735544,"about_ca_topic_score_gemma":0.0007037753,"teacher_disagreement_score":0.15016727,"about_ca_system_score_codex":0.0009918654,"about_ca_system_score_gemma":0.00025912674,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W6957957333","doi":"10.60692/7swzv-psx49","title":"Labor Mobility, Economic Shocks, and Jobless Growth: Evidence from Panel Data in Morocco","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Quarter (Canadian coin); Population; Point (geometry); Longitudinal data; Secondary labor market; Labor mobility; Product (mathematics)","score_opus":0.08150996416152602,"score_gpt":0.22751106962092435,"score_spread":0.14600110545939832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957957333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98559916,0.000051415216,0.008494569,0.00016851103,0.0004207578,0.00025561082,0.0035688132,0.000056706514,0.00138448],"genre_scores_gemma":[0.9992728,0.000009167569,0.00027713928,0.00016049037,0.00008729751,0.000028864275,0.00012743815,0.000011481752,0.00002529553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802923,0.000061130566,0.0011953535,0.0004165322,0.00005378434,0.00024398635],"domain_scores_gemma":[0.9982773,0.000065568755,0.0005097475,0.0010111391,0.000046026584,0.00009020666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020909696,0.00018495494,0.00045271582,0.00022022627,0.00006939646,0.0003225584,0.0005250679,0.00013177539,0.00004391691],"category_scores_gemma":[0.00017584625,0.00019152425,0.00003362533,0.0001322027,0.00003633537,0.0019424356,0.00034836715,0.00011445173,0.0004798401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024119627,0.0000023045873,0.9778119,0.00019035592,0.000016475444,5.0472437e-7,0.005073424,0.00007254157,1.564509e-7,0.016627204,0.000014980466,0.00016603753],"study_design_scores_gemma":[0.00074079196,0.000017336179,0.87276995,0.00014207677,0.00000651999,0.000002692226,0.0009141786,0.12362281,0.00000776032,0.0011473614,0.0003283499,0.00030016588],"about_ca_topic_score_codex":0.0017968314,"about_ca_topic_score_gemma":0.000037071273,"teacher_disagreement_score":0.123550266,"about_ca_system_score_codex":0.00018965862,"about_ca_system_score_gemma":0.000022115522,"threshold_uncertainty_score":0.78101325},"labels":[],"label_agreement":null},{"id":"W6958041095","doi":"10.6068/dp15e7079326f17","title":"Trend 1963 - 2015. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Forestry | Country: Canada | Item: Particle Board | Element: Import Value - 1000 US$, 1963-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; European union; General partnership; Commission; Food security; Value (mathematics); International comparisons; Food processing","score_opus":0.014910160249589395,"score_gpt":0.21807585154807962,"score_spread":0.20316569129849024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958041095","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002278808,0.0012867786,0.000026145455,0.000039142735,0.0003147326,0.0005233725,0.99655586,0.000031002124,0.0009950906],"genre_scores_gemma":[0.0073781386,0.0029018428,0.00008781046,0.000120151766,0.0001386614,0.000006390401,0.9884643,0.00009511954,0.00080756727],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977292,0.00010753936,0.0008046862,0.00079838483,0.0002334616,0.00032675813],"domain_scores_gemma":[0.9965002,0.00019909412,0.0014468218,0.0016156558,0.000066580134,0.00017165416],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000395473,0.000401688,0.0006123038,0.00012742504,0.0002780753,0.00037106077,0.0010650913,0.00039726676,0.0009360204],"category_scores_gemma":[0.00017285594,0.00031577164,8.054539e-7,0.000280389,0.00013753188,0.00029385943,0.00055672025,0.00033627474,0.000020771484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070699048,0.00006727089,0.0048610205,0.00030000118,0.00024006906,0.0000072031085,0.000005764927,0.000010726982,0.0000037595214,0.056363754,0.9381197,0.000013675641],"study_design_scores_gemma":[0.00059538684,0.00006423705,0.0015429666,0.00002532323,0.00017098282,0.000022376387,0.000044019995,0.0010383679,4.6396315e-7,0.000018818371,0.99603933,0.0004377482],"about_ca_topic_score_codex":0.8277814,"about_ca_topic_score_gemma":0.75832134,"teacher_disagreement_score":0.06946006,"about_ca_system_score_codex":0.000078578385,"about_ca_system_score_gemma":0.00020397859,"threshold_uncertainty_score":0.99997723},"labels":[],"label_agreement":null},{"id":"W6964102186","doi":"10.25318/36280001202400900004-fra","title":"Exposition à l’intelligence artificielle dans les emplois au Canada : estimations expérimentales","year":2024,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exposition (narrative); Context (archaeology); Perspective (graphical); Subject (documents); Work (physics)","score_opus":0.014700412514719556,"score_gpt":0.25020881291804725,"score_spread":0.23550840040332768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964102186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10064914,0.007844143,0.7685031,0.0046585905,0.008640206,0.00040862488,0.10111143,0.000046473335,0.0081382375],"genre_scores_gemma":[0.9758218,0.00037988028,0.0033187254,0.00007583507,0.00018438532,0.00004252735,0.0055876556,0.00005003467,0.014539192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777585,0.00005319949,0.0009340699,0.0005478003,0.00021435982,0.00047471924],"domain_scores_gemma":[0.9984614,0.00065700716,0.00025626918,0.00030711433,0.00014695089,0.0001712271],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041133346,0.00027967413,0.00029288177,0.00012410412,0.0004269593,0.0002583908,0.00021132649,0.000113494134,0.0008439862],"category_scores_gemma":[0.0003263004,0.00038661328,0.000045659533,0.00048309218,0.000115254596,0.00022382889,0.00004936449,0.00023916099,0.000016962023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050411304,0.000076801,0.003740379,0.00050189067,0.0000878867,0.00014333252,0.0013381912,0.003140459,0.000058456022,0.862257,0.08534777,0.043302782],"study_design_scores_gemma":[0.00012999715,0.00010624399,0.09899157,0.0011058396,0.00016546587,0.000038984825,0.005408355,0.717229,0.0016758095,0.059220742,0.11437183,0.0015561336],"about_ca_topic_score_codex":0.9938907,"about_ca_topic_score_gemma":0.9994495,"teacher_disagreement_score":0.8751726,"about_ca_system_score_codex":0.0049166693,"about_ca_system_score_gemma":0.0021402137,"threshold_uncertainty_score":0.99985856},"labels":[],"label_agreement":null},{"id":"W6965516380","doi":"10.34989/san-2024-23","title":"Beyond the averages: Measuring underlying wage growth using Labour Force Survey microdata","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Microdata (statistics); Wage growth; Wage; Volatility (finance); Measure (data warehouse); Real wages","score_opus":0.18709887299762948,"score_gpt":0.32338349970977515,"score_spread":0.13628462671214567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965516380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791872,0.0063745826,0.0013743825,0.0016534337,0.0006390615,0.0002647285,0.0020040139,0.000015994548,0.008486609],"genre_scores_gemma":[0.99734163,0.0002141562,0.00013370288,0.000111992194,0.00007134909,0.0000068378267,0.000030317167,0.000036224024,0.002053805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977249,0.0002963422,0.0006093568,0.0004540178,0.00026719988,0.00064817787],"domain_scores_gemma":[0.99743766,0.0015013859,0.000107105734,0.0005798937,0.0002610421,0.00011290536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013083965,0.00013669151,0.00031792998,0.0002443172,0.00035414874,0.00021352606,0.0006832109,0.000072432005,0.00016842173],"category_scores_gemma":[0.0016541122,0.00012293056,0.000067628076,0.0009683505,0.00011395957,0.00019654013,0.0002630185,0.00050394936,0.00000681565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036870722,0.000030167923,0.03795827,0.00050743204,0.00018992627,0.00006077126,0.00028771223,0.0002431515,0.0004996463,0.956005,0.003230202,0.00095087074],"study_design_scores_gemma":[0.00069634005,0.000079651356,0.36323228,0.00033607282,0.000014435911,0.000020639978,0.0005115345,0.057667747,0.0008660405,0.5507849,0.024853313,0.0009370517],"about_ca_topic_score_codex":0.79096115,"about_ca_topic_score_gemma":0.5827879,"teacher_disagreement_score":0.4052201,"about_ca_system_score_codex":0.0006167441,"about_ca_system_score_gemma":0.001002429,"threshold_uncertainty_score":0.5012963},"labels":[],"label_agreement":null},{"id":"W6965838201","doi":"10.34989/swp-2021-49","title":"Job Applications and Labour Market Flows","year":2021,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Unemployment; Conditional probability; Competition (biology); Key (lock); Probability distribution","score_opus":0.013689796234233085,"score_gpt":0.2161858682364258,"score_spread":0.20249607200219272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965838201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8506788,0.0049778866,0.0019738358,0.0010075882,0.00081143586,0.0002776142,0.0012902516,0.00009074049,0.13889182],"genre_scores_gemma":[0.9815624,0.001122755,0.0031664544,0.0010106396,0.00034669074,0.0001487728,0.00005327832,0.00005369244,0.012535312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976891,0.00006238243,0.00088188774,0.0008493749,0.000054553962,0.000462659],"domain_scores_gemma":[0.99827963,0.00021882793,0.00034338245,0.0007879949,0.000112982154,0.0002572079],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009323242,0.00028679194,0.0006189516,0.0001915518,0.0002721778,0.0001971864,0.00026589134,0.00020993328,0.0058327364],"category_scores_gemma":[0.00021702934,0.0003622795,0.0001734574,0.0003639733,0.00016688686,0.00029728858,0.00018185332,0.0002916884,0.00055572134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063791204,0.00006615633,0.6282983,0.000045714947,0.00006618016,0.000014656664,0.000054770695,0.0000023381117,0.000024296853,0.36937493,0.0013567322,0.0006895554],"study_design_scores_gemma":[0.00084430235,0.00002413697,0.5345488,0.000020556477,0.00001765129,0.00008440801,0.00010017401,0.0010296602,0.000030623043,0.089942336,0.37269646,0.0006608578],"about_ca_topic_score_codex":0.00013247172,"about_ca_topic_score_gemma":0.0003778566,"teacher_disagreement_score":0.37133974,"about_ca_system_score_codex":0.00017011283,"about_ca_system_score_gemma":0.0001401802,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W6980416748","doi":"","title":"5 Canadian Juniors with Big Liquidity Issues - SmallCapPower","year":2017,"lang":"en","type":"other","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Work (physics); Payment; Productivity","score_opus":0.028078618069255743,"score_gpt":0.2254120932897446,"score_spread":0.19733347522048886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980416748","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039175767,0.0014755633,0.00025241834,0.0011754808,0.0011570393,0.00026243675,0.00174382,0.00011380308,0.9934277],"genre_scores_gemma":[0.025161002,0.0012817963,0.0005456327,0.0003902567,0.000561318,0.000018962772,0.00013742544,0.00038923594,0.97151434],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847525,0.000015174455,0.00031643442,0.000643949,0.000046542118,0.00050262455],"domain_scores_gemma":[0.99780095,0.000010760585,0.00053758273,0.001295798,0.000031610238,0.00032327595],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004616802,0.00036510505,0.00070412504,0.0005090898,0.0001365022,0.00021604887,0.00065309164,0.00046035927,0.010570021],"category_scores_gemma":[0.000059812577,0.0003401424,0.000107523134,0.00009445797,0.00009901805,0.00006216022,0.000069307986,0.00024943083,0.0009876485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009986622,0.00004179503,0.014722716,0.000076179706,0.00023286851,0.000059446684,0.00004518599,0.0000010251102,8.710186e-8,0.38081092,0.6032906,0.0007091774],"study_design_scores_gemma":[0.00021892063,0.00003967608,0.0010430419,0.00006684656,0.000008320286,0.0000017090503,0.0000053252697,0.000032411506,6.410491e-7,0.0059629665,0.9920456,0.0005745302],"about_ca_topic_score_codex":0.7955854,"about_ca_topic_score_gemma":0.87623507,"teacher_disagreement_score":0.388755,"about_ca_system_score_codex":0.00021088333,"about_ca_system_score_gemma":0.00020136187,"threshold_uncertainty_score":0.99990505},"labels":[],"label_agreement":null},{"id":"W6980578549","doi":"","title":"Chippewa, Ottawa, and Pottawatomie Indians. (To accompany H. Res. no. 38.).","year":2016,"lang":"en","type":"other","venue":"SHAREOK (University of Oklahoma)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Component (thermodynamics); Field (mathematics); Key (lock)","score_opus":0.012156113365231933,"score_gpt":0.19185464380065284,"score_spread":0.17969853043542092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980578549","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013598556,0.0010731803,0.0004879954,0.0010829662,0.00058517285,0.0004706588,0.009613924,0.00012245734,0.97296506],"genre_scores_gemma":[0.09244184,0.0010400882,0.0017926574,0.00022105135,0.00031054034,0.0000017980867,0.00018251815,0.00029520402,0.9037143],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983321,0.000030617444,0.00035198772,0.00077898684,0.00009096602,0.00041535217],"domain_scores_gemma":[0.9981931,0.000044127257,0.00069794257,0.0007311585,0.000066111745,0.0002675798],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004130763,0.00034152757,0.0009049896,0.00076524983,0.00012319014,0.000046225658,0.0007178415,0.00042286026,0.018578364],"category_scores_gemma":[0.0000834391,0.0004217602,0.00019924987,0.00023737068,0.00016602603,0.00016109527,0.0003982773,0.00021961446,0.0030927432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008397501,0.00014867785,0.03838384,0.00047211917,0.00044464064,0.000082182305,0.00052842987,5.1758826e-7,0.000014847008,0.120195694,0.83505493,0.004590152],"study_design_scores_gemma":[0.000921263,0.000050474337,0.032594077,0.00022272352,0.000018190756,0.000002234516,0.000066511144,0.000031814387,9.924665e-7,0.006874913,0.95863223,0.00058455934],"about_ca_topic_score_codex":0.0024546045,"about_ca_topic_score_gemma":0.0016369383,"teacher_disagreement_score":0.12357733,"about_ca_system_score_codex":0.00013447086,"about_ca_system_score_gemma":0.000057225865,"threshold_uncertainty_score":0.99982345},"labels":[],"label_agreement":null},{"id":"W6980729756","doi":"","title":"Conflictos Ã©tnicos y etnonacionalismos en las AmÃ©ricas","year":2011,"lang":"es","type":"other","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Limiting; Context (archaeology); Work (physics)","score_opus":0.02365765258529542,"score_gpt":0.23049089350104765,"score_spread":0.20683324091575223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980729756","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17640178,0.004413063,0.011169051,0.0019046912,0.0025740962,0.0017695341,0.0065703383,0.0005043512,0.7946931],"genre_scores_gemma":[0.5605125,0.0066828476,0.0041233436,0.0011064644,0.00096572033,0.000061753126,0.0006335813,0.00093074096,0.42498305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936433,0.0003875233,0.0016372466,0.0022596847,0.0003136397,0.0017586274],"domain_scores_gemma":[0.99406856,0.00045577573,0.0022393432,0.0021830846,0.00022480727,0.0008284517],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0016233071,0.0014482951,0.002345444,0.0019096694,0.00044653632,0.00046845246,0.0021221703,0.00231147,0.02318692],"category_scores_gemma":[0.00028164848,0.001711999,0.0011229316,0.0012883549,0.000496366,0.00059722754,0.00080546975,0.0015650577,0.0048025474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022482942,0.00075553823,0.03610023,0.00052011997,0.0013743583,0.00075067795,0.0018575353,0.000048087157,0.000039808885,0.9439447,0.008226065,0.0061580753],"study_design_scores_gemma":[0.002688185,0.00030491853,0.05933423,0.0004045028,0.00030787534,0.00009902948,0.00059205695,0.0061465017,0.00001847744,0.027416486,0.89994645,0.002741283],"about_ca_topic_score_codex":0.004119664,"about_ca_topic_score_gemma":0.0002707372,"teacher_disagreement_score":0.91652817,"about_ca_system_score_codex":0.0016074969,"about_ca_system_score_gemma":0.0005815574,"threshold_uncertainty_score":0.99982667},"labels":[],"label_agreement":null},{"id":"W6986652104","doi":"","title":"Private Sector Training and the Organisation of the Labour Market: Evidence from the Republic of Ireland in Comparative Perspective","year":2001,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Training (meteorology); The Republic; Private sector; Perspective (graphical); Public sector; Government (linguistics); Work (physics); Agency (philosophy)","score_opus":0.06057649690797061,"score_gpt":0.2779435032272664,"score_spread":0.21736700631929579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986652104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858218,0.00016824348,0.000078283265,0.00671126,0.000038723258,0.0004048151,0.00022302134,0.0000051481584,0.006548737],"genre_scores_gemma":[0.9981953,0.0007922862,0.00003590597,0.000030123185,0.0000248002,0.0000014161901,0.0000034164282,0.000006644469,0.0009101134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99846005,0.0005256936,0.00031584423,0.00029374735,0.00016934174,0.0002352961],"domain_scores_gemma":[0.9977166,0.0013015303,0.0003251953,0.00039638582,0.0002149434,0.000045367568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028174992,0.00009782481,0.00031814713,0.00013789834,0.00024067193,0.000040474024,0.00050523155,0.00006801042,0.00035009865],"category_scores_gemma":[0.00074008474,0.00006580218,0.00007504984,0.00087430223,0.000665627,0.00027456367,0.00029164695,0.00040611898,0.0000019671738],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032477113,0.000054613676,0.45656854,0.000012816393,0.00009103798,0.000010019603,0.01610218,0.00002300179,0.000019821544,0.52664506,0.000093829694,0.000054337957],"study_design_scores_gemma":[0.00096796436,0.000044221888,0.9412859,0.000067394176,0.000007465922,0.0000010697734,0.017358327,0.0007708657,0.00002351052,0.038395632,0.0009909499,0.000086688335],"about_ca_topic_score_codex":0.020335212,"about_ca_topic_score_gemma":0.0011901748,"teacher_disagreement_score":0.48824942,"about_ca_system_score_codex":0.00015692324,"about_ca_system_score_gemma":0.00011541333,"threshold_uncertainty_score":0.9861885},"labels":[],"label_agreement":null},{"id":"W6987018377","doi":"","title":"The risk of automation in Latin America","year":2021,"lang":"en","type":"other","venue":"El Servicio de Difusión de la Creación Intelectual (National University of La Plata)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Nacional de La Plata; International Development Research Centre","keywords":"Automation; Latin Americans; Vulnerability (computing); Function (biology); Process (computing)","score_opus":0.009356362969035316,"score_gpt":0.21596733548059335,"score_spread":0.20661097251155805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987018377","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14997602,0.0011150931,0.007656581,0.00036029803,0.00011952624,0.00024950638,0.0027103426,0.000054588105,0.83775806],"genre_scores_gemma":[0.9610682,0.004952558,0.003361662,0.0001462673,0.00010778001,0.000003019206,0.00074345793,0.00014311515,0.029473921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986808,0.0002750023,0.00040027522,0.0002935443,0.0001305682,0.00021985255],"domain_scores_gemma":[0.99732417,0.0013925887,0.00085939193,0.00024974954,0.00012204113,0.000052079493],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013174951,0.00018010166,0.00045521097,0.000353273,0.00007655268,0.000030193873,0.0004567618,0.0003547601,0.0015890872],"category_scores_gemma":[0.0007875687,0.00020830268,0.00015370757,0.00045018064,0.00020650327,0.00005442269,0.00013154278,0.00039706542,0.000011660961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021018117,0.0005446303,0.12619974,0.00041627753,0.0008181996,0.00004898898,0.0043912744,0.0017108204,0.000052744766,0.8452693,0.017370915,0.0029669313],"study_design_scores_gemma":[0.0015248097,0.00007664257,0.25034538,0.00038473174,0.000059305403,0.000011549322,0.0011717451,0.067042656,0.000026524951,0.12968285,0.5490074,0.00066642615],"about_ca_topic_score_codex":0.011367479,"about_ca_topic_score_gemma":0.004219957,"teacher_disagreement_score":0.8110922,"about_ca_system_score_codex":0.00027770468,"about_ca_system_score_gemma":0.00021927507,"threshold_uncertainty_score":0.9993236},"labels":[],"label_agreement":null},{"id":"W6987504317","doi":"","title":"Stable Wage Distribution in Japan, 1982-2002: A Counter Example for SBTC?","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Distribution (mathematics); Balance (ability); Technological change; Wage growth; Supply and demand","score_opus":0.04780397292286223,"score_gpt":0.22648980986375833,"score_spread":0.1786858369408961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987504317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414698,0.0002447627,0.039593235,0.00032686573,0.00027629375,0.0003655209,0.0027315738,0.0000395483,0.0149524165],"genre_scores_gemma":[0.99301434,0.00014553212,0.0005033875,0.00030871728,0.000066254404,0.00007387596,0.0003606387,0.000018632236,0.0055086096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863225,0.000011691723,0.0005790446,0.0003749723,0.000032594107,0.00036944606],"domain_scores_gemma":[0.9993882,0.000096350734,0.00010837001,0.00029870402,0.000047293048,0.00006105509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077722705,0.00013444544,0.00032859365,0.000084083316,0.00010473363,0.00004105697,0.00015030234,0.000098256925,0.0006747149],"category_scores_gemma":[0.00012170578,0.0001453062,0.00009226275,0.00023281138,0.000039395036,0.00022859508,0.00004136402,0.00009323895,0.000121036064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006452629,0.00023634532,0.2257581,0.0000365318,0.00002456398,0.000005132013,0.00028709925,0.000109143155,0.00001976746,0.76769507,0.005536989,0.00022671842],"study_design_scores_gemma":[0.002904576,0.0001520107,0.32566476,0.00001764918,0.000005276934,0.000008512141,0.00010591889,0.04755786,0.00008882043,0.090059996,0.5326729,0.0007617495],"about_ca_topic_score_codex":0.00670049,"about_ca_topic_score_gemma":0.0011533005,"teacher_disagreement_score":0.6776351,"about_ca_system_score_codex":0.0002080895,"about_ca_system_score_gemma":0.000026757483,"threshold_uncertainty_score":0.999914},"labels":[],"label_agreement":null},{"id":"W6987716475","doi":"","title":"Tout est possible. Rich Larson, Rêves de drones et autres entropies, traduit de l’anglais par Émilie Laramée, Montréal, Triptyque, coll. « Satellite », 2022, 230 p.","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drone; Natural (archaeology); Context (archaeology)","score_opus":0.010277352149848581,"score_gpt":0.1824364833302287,"score_spread":0.17215913118038012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987716475","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6386514,0.28345162,0.00086934736,0.06526907,0.0012450529,0.00060192833,0.0040134396,0.00030186132,0.0055963215],"genre_scores_gemma":[0.20614345,0.5879556,0.0022682175,0.0012904138,0.0003269432,0.000049628365,0.0005251432,0.0001850117,0.20125557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99512,0.0003809484,0.001036398,0.0012264727,0.0002479152,0.0019882654],"domain_scores_gemma":[0.9967417,0.00062511535,0.0008179556,0.0010293109,0.00015127077,0.00063461903],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021539645,0.00075371936,0.0012635398,0.00079868274,0.0010144245,0.00028652578,0.0009440353,0.0007986693,0.0011422918],"category_scores_gemma":[0.0003806996,0.0010273287,0.00058860116,0.0020536,0.00026616178,0.00066719693,0.0005527153,0.0007651916,0.00062588934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000751315,0.0009787835,0.2032738,0.00060692645,0.0014453268,0.0069955722,0.0046151946,0.003205951,0.00020472342,0.3563169,0.3780173,0.043588188],"study_design_scores_gemma":[0.0025174562,0.00021977132,0.086884774,0.00014118869,0.00021157936,0.00014087762,0.0011119733,0.021654356,0.00006429924,0.031892892,0.854096,0.001064838],"about_ca_topic_score_codex":0.038613327,"about_ca_topic_score_gemma":0.17689148,"teacher_disagreement_score":0.47607866,"about_ca_system_score_codex":0.009054407,"about_ca_system_score_gemma":0.0002844649,"threshold_uncertainty_score":0.9997708},"labels":[],"label_agreement":null},{"id":"W6987974120","doi":"","title":"U.S. hiring slows to 151K jobs in August; Fed hike less likely","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Job loss; Work (physics); Quarter (Canadian coin); Job creation","score_opus":0.022568427912531153,"score_gpt":0.2373401139733808,"score_spread":0.21477168606084965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987974120","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024293123,0.0005868932,0.027966816,0.00046175052,0.0022986012,0.0011391314,0.004947104,0.0002755941,0.93803096],"genre_scores_gemma":[0.11994014,0.00039341516,0.002046004,0.00074938865,0.00077337725,0.00019641456,0.0003284478,0.0008243169,0.87474847],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994384,0.00021803136,0.0018619151,0.002033848,0.00019078577,0.0013114235],"domain_scores_gemma":[0.99676305,0.00038213457,0.0010273668,0.0012888337,0.000030511357,0.0005081091],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008251324,0.0010537774,0.0017863223,0.0021308495,0.000032733813,0.0002769192,0.0020813327,0.00036907513,0.015433829],"category_scores_gemma":[0.00023204507,0.0010623101,0.00058638456,0.0002575472,0.00024961232,0.0001622542,0.0014640355,0.0009810709,0.008842523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033838087,0.00022631364,0.028120311,0.00022647428,0.0003553719,0.0001860506,0.001412043,0.000006980763,0.00003774262,0.15647942,0.81073964,0.0018712849],"study_design_scores_gemma":[0.0013469702,0.00022150262,0.011386283,0.0015131106,0.000017583872,0.000013353474,0.000028674402,0.0009587427,0.000022125823,0.046098057,0.9369471,0.00144647],"about_ca_topic_score_codex":0.05572406,"about_ca_topic_score_gemma":0.08967364,"teacher_disagreement_score":0.1262075,"about_ca_system_score_codex":0.0003117119,"about_ca_system_score_gemma":0.00007355069,"threshold_uncertainty_score":0.9991827},"labels":[],"label_agreement":null},{"id":"W6991293222","doi":"","title":"Gender pay equity at a Simulated University with a Complex Compensation System","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salary; Disadvantaged; Wage; Equity (law); Gender pay gap; Compensation (psychology); Gender equity; Pay Equity","score_opus":0.022155393796997568,"score_gpt":0.1875265321700257,"score_spread":0.16537113837302814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991293222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145181,0.00008405274,0.00060540496,0.000255145,0.00033350463,0.00060443534,0.0059773265,0.0003126848,0.077309325],"genre_scores_gemma":[0.9112814,0.00008670712,0.00092136365,0.000029065111,0.000023720615,3.800526e-8,0.0065127714,0.000053125394,0.08109182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9978234,0.00019040206,0.00034441974,0.0009598876,0.00022651783,0.00045534482],"domain_scores_gemma":[0.997515,0.00011577933,0.0013082166,0.00069756695,0.000113962815,0.00024945327],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029836898,0.00044037896,0.001029759,0.00077939057,0.0009859563,0.000040696294,0.0012010444,0.0004232961,0.00605815],"category_scores_gemma":[0.000005592496,0.00060284627,0.0003867566,0.0010921282,0.00019076708,0.0011450169,0.0008631273,0.0005709726,0.000088107874],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028210195,0.002216917,0.2566808,0.008107717,0.0064288084,0.0058221617,0.16798162,0.007663038,0.00028017315,0.509234,0.005752061,0.0016225325],"study_design_scores_gemma":[0.008642259,0.00051597855,0.1568282,0.00028108933,0.00065941777,0.000019339928,0.58777237,0.010446609,0.0000279135,0.002680842,0.22929572,0.0028302914],"about_ca_topic_score_codex":0.00785888,"about_ca_topic_score_gemma":0.0048917136,"teacher_disagreement_score":0.5065531,"about_ca_system_score_codex":0.0013029363,"about_ca_system_score_gemma":0.0004501122,"threshold_uncertainty_score":0.9996423},"labels":[],"label_agreement":null},{"id":"W6996871195","doi":"","title":"Testing for persistence in aggregate and sectoral Canadian unemployment","year":2005,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Persistence (discontinuity); Aggregate (composite); Inflation (cosmology); Dependency (UML); NAIRU; Full employment; Aggregate data","score_opus":0.13035985827510585,"score_gpt":0.3525657618659559,"score_spread":0.22220590359085005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996871195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98366684,0.0043917377,0.0000958531,0.0102605205,0.000052784566,0.0000894733,0.0000858432,0.000001320382,0.0013556414],"genre_scores_gemma":[0.98725826,0.0069093304,0.005598699,0.00008757868,0.0000590095,0.0000061975265,0.0000037317839,0.0000058787123,0.0000712947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999119,0.000079734964,0.00047676472,0.00010493669,0.00007720901,0.00014234653],"domain_scores_gemma":[0.99867535,0.00037379778,0.0002837362,0.0001384701,0.00042980377,0.00009886913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004416756,0.000049724695,0.00014023947,0.00046080397,0.00015472849,0.00012379416,0.00029211762,0.00004062119,0.000026055612],"category_scores_gemma":[0.0008306185,0.000048032052,0.000034105113,0.00014683753,0.0000530031,0.00020137485,0.00007470378,0.00029057963,0.0000015428109],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040206414,0.00005500862,0.93932325,0.000009808581,0.000045901692,0.0000013490576,0.0006353137,0.00016836564,0.000008531237,0.05023813,0.00039297435,0.009081163],"study_design_scores_gemma":[0.001268691,0.00019495167,0.79614764,0.000107841144,0.000005848203,0.00002195308,0.0011437512,0.05033748,0.000017987126,0.085591294,0.064995356,0.00016720676],"about_ca_topic_score_codex":0.028980376,"about_ca_topic_score_gemma":0.031787015,"teacher_disagreement_score":0.1431756,"about_ca_system_score_codex":0.00023909383,"about_ca_system_score_gemma":0.00005526631,"threshold_uncertainty_score":0.9858804},"labels":[],"label_agreement":null},{"id":"W6997214732","doi":"","title":"Unemployment insurance claimants : 2nd quarter 2009","year":2009,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Commission; Plaintiff; General insurance; Income protection insurance; Insurance policy","score_opus":0.012430257832044106,"score_gpt":0.1930043266033107,"score_spread":0.1805740687712666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997214732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8366088,0.0012945705,0.0012760183,0.0054385625,0.0011253108,0.0014548465,0.024923608,0.0010525122,0.12682575],"genre_scores_gemma":[0.9395124,0.0002513209,0.00024413083,0.002311783,0.00034605715,0.00009092933,0.00048779897,0.00020882666,0.056546807],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99430114,0.00018804608,0.0021644512,0.0014770965,0.00030776334,0.0015614996],"domain_scores_gemma":[0.99642867,0.000204347,0.0010487752,0.001669375,0.00007477487,0.00057403935],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003807963,0.0009840407,0.0012591181,0.0009343466,0.0011820808,0.0021297506,0.0013747006,0.0002577929,0.0005526821],"category_scores_gemma":[0.00007529097,0.0009025709,0.0007076255,0.0037755675,0.00032462794,0.0057035736,0.00041097944,0.00095902255,0.00047654714],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030369528,0.0016606956,0.7998826,0.00027376864,0.0011751772,0.00043731063,0.028457286,0.005498742,0.000012988283,0.08394792,0.07116485,0.0044517247],"study_design_scores_gemma":[0.00398182,0.001204068,0.2264194,0.00011654372,0.000060427992,0.000052639152,0.00068070745,0.0040126652,0.00017170388,0.641918,0.11873626,0.0026457435],"about_ca_topic_score_codex":0.000060490245,"about_ca_topic_score_gemma":0.0000041661797,"teacher_disagreement_score":0.5734632,"about_ca_system_score_codex":0.00011321265,"about_ca_system_score_gemma":0.00025753307,"threshold_uncertainty_score":0.9993425},"labels":[],"label_agreement":null},{"id":"W7000216479","doi":"","title":"Essays in Applied Economics","year":2022,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legalization; Outsourcing; Barter; Wage; Earnings; Leverage (statistics); Currency; Transaction cost; Coase theorem","score_opus":0.014478833707481655,"score_gpt":0.2294842644663362,"score_spread":0.21500543075885456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000216479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7690683,0.0029312277,0.00009429995,0.0018367893,0.0036427246,0.00090806547,0.0023204212,0.00024326563,0.2189549],"genre_scores_gemma":[0.9886417,0.0019511285,0.0026408283,0.000110178415,0.000074075375,0.0005877106,0.0016442557,0.00013991221,0.0042102067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99614805,0.00001738859,0.0018474284,0.001227881,0.00009904269,0.00066019094],"domain_scores_gemma":[0.99632746,0.00003591231,0.0018689979,0.0016263105,0.00005766134,0.000083686726],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008839818,0.0006134727,0.001679354,0.002749524,0.00016941436,0.0000549712,0.0017448348,0.001306134,0.00071996084],"category_scores_gemma":[0.00037005424,0.0008230989,0.0002998936,0.0014124969,0.0002161697,0.0002184676,0.00041542613,0.0014221406,0.00007565421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104878745,0.00029802663,0.01506012,0.00028920893,0.00024028623,0.000023254715,0.0002844542,0.00040578077,0.000035514833,0.9756791,0.0004931094,0.0070862835],"study_design_scores_gemma":[0.0017851458,0.00011118984,0.007278303,0.000101898884,0.000048579775,0.00000487849,0.000613427,0.0004679385,0.0002823437,0.5328533,0.4550172,0.0014357865],"about_ca_topic_score_codex":0.0004365952,"about_ca_topic_score_gemma":0.0024846753,"teacher_disagreement_score":0.4545241,"about_ca_system_score_codex":0.0006919333,"about_ca_system_score_gemma":0.00021697432,"threshold_uncertainty_score":0.9999904},"labels":[],"label_agreement":null},{"id":"W7000341576","doi":"","title":"Falling at the Bottom: Unskilled jobs at entry in the Labour Market in Spain over time and in a comparative perspective","year":2010,"lang":"en","type":"article","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Falling (accident); Nationality; Order (exchange); Perspective (graphical); Logistic regression","score_opus":0.035889207705772565,"score_gpt":0.26407986982439946,"score_spread":0.2281906621186269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000341576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83164227,0.0002590241,0.000003875827,0.000600931,0.00017224257,0.00044393822,0.000060856113,0.000012066245,0.1668048],"genre_scores_gemma":[0.98394024,0.00027050593,0.000027139344,0.000084836785,0.00008024728,0.0000025558518,0.000009560844,0.000014673759,0.015570216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969324,0.0013546014,0.00040384068,0.0006303663,0.000175601,0.00050319283],"domain_scores_gemma":[0.9983537,0.0006883562,0.00016422877,0.00057853037,0.0001035744,0.000111588255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006107054,0.00019316848,0.000340993,0.00047816487,0.00058299163,0.00015767204,0.0007293413,0.000111878864,0.000104107756],"category_scores_gemma":[0.00048380138,0.00016796935,0.000074769676,0.00085502444,0.0006876101,0.00035223164,0.0006533558,0.0014219971,0.00008262357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001120651,0.00052623806,0.6470379,0.000049838472,0.00008646297,0.0038331575,0.021029806,0.00032541767,0.0014549864,0.32325646,0.0011645771,0.00011448639],"study_design_scores_gemma":[0.0018766664,0.00005625182,0.95160615,0.000051905285,0.000004313133,0.00003639201,0.002599376,0.0035076654,0.00002664222,0.0014270985,0.038488515,0.0003190304],"about_ca_topic_score_codex":0.0063910717,"about_ca_topic_score_gemma":0.017488439,"teacher_disagreement_score":0.32182935,"about_ca_system_score_codex":0.0011617455,"about_ca_system_score_gemma":0.00009898258,"threshold_uncertainty_score":0.9758959},"labels":[],"label_agreement":null},{"id":"W7000763160","doi":"","title":"Gender, careers and peers' gender mix","year":2024,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; London School of Economics and Political Science; European Commission; York University; Istituto Nazionale Previdenza Sociale; New York University Abu Dhabi","keywords":"Promotion (chess); Attrition; Perspective (graphical); Variation (astronomy); Job security; Social security; Life course approach","score_opus":0.07885329503964976,"score_gpt":0.3508607448444076,"score_spread":0.27200744980475783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000763160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7052215,0.006783643,0.000026297,0.003961446,0.0009144068,0.00085974904,0.0056694024,0.000044046912,0.27651957],"genre_scores_gemma":[0.9692378,0.01585408,0.0017206495,0.0006030902,0.0007556263,0.0000263203,0.00004489937,0.00024539282,0.011512119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908053,0.00011406508,0.0022183582,0.0026215871,0.00033133084,0.003909311],"domain_scores_gemma":[0.9916178,0.00058843964,0.00064024207,0.0012455729,0.0004304964,0.005477471],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010604495,0.00074605923,0.0019038296,0.0028487048,0.00038768156,0.0011336424,0.0016627018,0.0006547037,0.0008801069],"category_scores_gemma":[0.002949685,0.00075064413,0.0002901617,0.0010740511,0.01045095,0.00084681547,0.0018939506,0.0013811822,0.00017966951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003806475,0.00013728003,0.011322408,0.00039745364,0.0000896783,0.000006063634,0.00004895843,0.0000075012945,0.000028708855,0.9865013,0.0011379339,0.00028465208],"study_design_scores_gemma":[0.0013994308,0.00045631346,0.019935584,0.00020515638,0.0000680496,0.00005000433,0.0008482874,0.009353526,0.00010465829,0.8869357,0.07929144,0.0013518599],"about_ca_topic_score_codex":0.010943261,"about_ca_topic_score_gemma":0.00072124443,"teacher_disagreement_score":0.26500744,"about_ca_system_score_codex":0.0010940178,"about_ca_system_score_gemma":0.0026582882,"threshold_uncertainty_score":0.99990326},"labels":[],"label_agreement":null},{"id":"W7001458987","doi":"","title":"\"J'ai accidentellement couché avec mon frère\": La procréation avec don à l'épreuve de l'interdit de l'inceste","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Context (archaeology); Subject (documents); Natural (archaeology)","score_opus":0.01630565833791745,"score_gpt":0.24114549141865263,"score_spread":0.22483983308073519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001458987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43480355,0.015251825,0.40112463,0.08365927,0.0016326435,0.00076441723,0.0006574838,0.00027656657,0.061829645],"genre_scores_gemma":[0.9347731,0.008601453,0.007267528,0.0005398357,0.000108918015,0.000095072195,0.0002893267,0.00008607851,0.048238724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99383897,0.0030954024,0.0011605032,0.0009592074,0.00019637428,0.0007495761],"domain_scores_gemma":[0.9954594,0.0017470752,0.0005306303,0.0013058451,0.00069341593,0.00026363053],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014796338,0.00039326304,0.0004928446,0.00033654613,0.00033231796,0.0015223486,0.0009429167,0.0004674929,0.0014696307],"category_scores_gemma":[0.0015312689,0.0005027268,0.0003276168,0.0007283396,0.0002365235,0.00062658265,0.00050274946,0.00088979054,0.00023697132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027208565,0.00071337743,0.0298326,0.00060612237,0.00023763897,0.00004950373,0.035933547,0.00017533408,0.00019675882,0.86331505,0.0039740927,0.06493879],"study_design_scores_gemma":[0.0008052613,0.0000038455255,0.02244329,0.0030534912,0.00009336874,0.000059231646,0.00040843012,0.42777976,0.0038891165,0.11036774,0.4302282,0.00086827594],"about_ca_topic_score_codex":0.0033898307,"about_ca_topic_score_gemma":0.0046437876,"teacher_disagreement_score":0.7529473,"about_ca_system_score_codex":0.0010390272,"about_ca_system_score_gemma":0.000342557,"threshold_uncertainty_score":0.99974245},"labels":[],"label_agreement":null},{"id":"W7008521120","doi":"","title":"CFD modelling of flow and dispersion in the built environment: Different RANS models and a first attempt to use URANS","year":2012,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Flow (mathematics); Dispersion (optics); Flow conditions","score_opus":0.07165339836049445,"score_gpt":0.20845167565162476,"score_spread":0.1367982772911303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008521120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8380854,0.00049611187,0.16014263,0.0006349924,0.000031563573,0.00019083045,0.000117023585,0.000003534551,0.00029790154],"genre_scores_gemma":[0.9969593,0.0016012449,0.0011696313,0.00016759605,0.000015211583,0.000012200552,0.000006046635,0.000010518401,0.0000582251],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916196,0.000017066612,0.0003559108,0.0002164549,0.00003839253,0.00021022963],"domain_scores_gemma":[0.99948406,0.00012511134,0.00006907927,0.00024147723,0.000004254179,0.00007600352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053290074,0.00011803638,0.00024941796,0.000083857645,0.00005693426,0.000038613176,0.0001002748,0.000054460146,0.000033761244],"category_scores_gemma":[0.0000120230825,0.00008899085,0.000039346512,0.00006783625,0.000032537042,0.00026965732,0.00006765045,0.00007546603,0.0000031565796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006249363,0.0003210893,0.6225281,0.00008160148,0.000030481084,7.2079007e-7,0.0084476005,0.049707185,0.00002037861,0.31799218,0.000013851584,0.00079436705],"study_design_scores_gemma":[0.00040264527,0.000032833268,0.0770565,0.000017680795,0.000007160563,9.4798605e-7,0.00016284623,0.88664275,0.000009444153,0.035033893,0.00044426674,0.00018905017],"about_ca_topic_score_codex":0.0014289124,"about_ca_topic_score_gemma":0.00027479895,"teacher_disagreement_score":0.8369355,"about_ca_system_score_codex":0.00002859234,"about_ca_system_score_gemma":0.0000011510704,"threshold_uncertainty_score":0.36289415},"labels":[],"label_agreement":null},{"id":"W7009244453","doi":"","title":"Does an Increase in the Minimum Wage\\nDecrease Employment? A Meta-Analysis\\nof Canadian Studies","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Wage; Documentation; Empirical evidence; Labour supply","score_opus":0.08756310862080595,"score_gpt":0.2560866665381879,"score_spread":0.16852355791738194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009244453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8784568,0.00006876484,0.00016157786,0.0076825144,0.00012449041,0.00091160653,0.0019807962,0.00008097504,0.11053248],"genre_scores_gemma":[0.9884168,0.008561794,0.0001675425,0.0026400723,0.000057646215,0.00001119873,0.00008163958,0.000021722763,0.000041576084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978242,0.0003304297,0.00049400853,0.0007657873,0.00009992413,0.0004856497],"domain_scores_gemma":[0.9984663,0.0001747565,0.000275538,0.0006817553,0.00009014606,0.00031147848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011108981,0.0003068683,0.0010219021,0.0067779985,0.00021416422,0.000127867,0.0008276965,0.0001094847,0.00019327512],"category_scores_gemma":[0.00030757513,0.0002186072,0.00062163256,0.010577945,0.00009412053,0.0005099034,0.00015360367,0.0002651968,0.000028511105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008241148,0.0018780491,0.23482813,0.00026391476,0.1405948,0.0043538483,0.11358139,0.00074525684,0.000002118907,0.50052077,0.00069099385,0.0017166367],"study_design_scores_gemma":[0.0011462034,0.00019142327,0.0044229585,0.00000369834,0.011984939,0.0000015650123,0.0064735496,0.0027868599,0.0000047498515,0.00039766773,0.9717897,0.0007966948],"about_ca_topic_score_codex":0.84253824,"about_ca_topic_score_gemma":0.906556,"teacher_disagreement_score":0.9710987,"about_ca_system_score_codex":0.0003117362,"about_ca_system_score_gemma":0.00024388087,"threshold_uncertainty_score":0.8914542},"labels":[],"label_agreement":null},{"id":"W7009727495","doi":"","title":"Essays in Quantitative Macroeconomics","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Wage; Sorting; Entrepreneurship; Quantitative analysis (chemistry); Panel data; Value (mathematics); Survey data collection","score_opus":0.02073970544745075,"score_gpt":0.22091383054441316,"score_spread":0.20017412509696242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009727495","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09424849,0.0012983532,0.00015323331,0.00011888518,0.0014345445,0.00026011118,0.00068280793,0.00006343005,0.90174013],"genre_scores_gemma":[0.13549949,0.000614319,0.00048484898,0.00008380657,0.00007085217,0.0000059458753,0.0005136029,0.00010046575,0.8626267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798846,0.00004077696,0.00064262416,0.00087853527,0.00004457243,0.0004050073],"domain_scores_gemma":[0.99904513,0.00006899755,0.00041061468,0.0003378168,0.000041372987,0.000096048774],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035617585,0.0003849548,0.0007259219,0.0006753392,0.00006763766,0.00016065851,0.0004989031,0.0004386764,0.04934317],"category_scores_gemma":[0.00003166492,0.0005247987,0.00024881298,0.0007068454,0.000043561442,0.00029532655,0.00010571885,0.00060520554,0.0012896883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017280589,0.000072626135,0.00538802,0.0003795272,0.00015795382,0.00020451695,0.0016284693,0.00008682073,0.0000034712862,0.97938645,0.00032967245,0.012189697],"study_design_scores_gemma":[0.001088427,0.00008991509,0.0054259766,0.00029889116,0.00005435568,0.0000020716761,0.004604784,0.0035576995,0.0000118753605,0.25187576,0.7317979,0.0011924064],"about_ca_topic_score_codex":0.0010415368,"about_ca_topic_score_gemma":0.00911568,"teacher_disagreement_score":0.7314682,"about_ca_system_score_codex":0.00056297996,"about_ca_system_score_gemma":0.00007479953,"threshold_uncertainty_score":0.99972034},"labels":[],"label_agreement":null},{"id":"W7010584994","doi":"","title":"An investigation of the role of individual words in the comprehension of connected discourse","year":2013,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Comprehension; Reading comprehension; Word (group theory); Task (project management); Noun; Reading (process)","score_opus":0.02635416654221286,"score_gpt":0.23566775859990904,"score_spread":0.20931359205769617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010584994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768231,0.0006168879,0.000010430171,0.00004563012,0.0002497799,0.0003954139,0.0005945936,0.000007480613,0.021256668],"genre_scores_gemma":[0.9989609,0.000008793794,0.000012451565,0.0000018517431,0.000017036426,0.000002276309,0.0005350776,0.000016376096,0.00044522417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985404,0.0002925659,0.0006540086,0.00026507847,0.000089536996,0.0001584267],"domain_scores_gemma":[0.99775016,0.00022888946,0.0010626599,0.0007020916,0.00021350046,0.000042710217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056213094,0.00019243507,0.0005715139,0.0005488891,0.00008555237,0.000018604373,0.0011214715,0.00025883532,0.000041937656],"category_scores_gemma":[0.00006547406,0.00016585302,0.00016949764,0.0011747115,0.00022181077,0.00018754118,0.00009546746,0.0003367661,0.0000034604655],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006593909,0.0003996375,0.4736338,0.00020179905,0.00008045339,7.9808615e-7,0.01692345,0.00003683171,0.0005035866,0.5072343,0.000043845233,0.00087554485],"study_design_scores_gemma":[0.000606543,0.000092841605,0.96795416,0.00025270364,0.00006376802,3.1873404e-7,0.0065100444,0.0007153397,0.0005413259,0.021919161,0.0011164022,0.00022739358],"about_ca_topic_score_codex":0.0009252165,"about_ca_topic_score_gemma":0.0635404,"teacher_disagreement_score":0.49432036,"about_ca_system_score_codex":0.000064690044,"about_ca_system_score_gemma":0.00011998766,"threshold_uncertainty_score":0.95354754},"labels":[],"label_agreement":null},{"id":"W7010652303","doi":"","title":"Introduction: Knowledge Mobilization - The new research imperative","year":2012,"lang":"en","type":"other","venue":"OPUS - Open Publications of UTS Scholars (University of Technology Sydney)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Mobilization; Relevance (law); Government (linguistics); Knowledge transfer; Educational research","score_opus":0.052653659462833714,"score_gpt":0.29807508434993846,"score_spread":0.24542142488710475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010652303","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002527024,0.0077748317,0.008317516,0.079468004,0.0007122996,0.0024093934,0.0012958889,0.00021797515,0.89727706],"genre_scores_gemma":[0.038393527,0.001686431,0.013771824,0.000022608545,0.0002413311,0.000015929803,0.00036645427,0.00013746214,0.9453644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998511,0.00011135334,0.0004017631,0.00058013044,0.000088649365,0.00030706983],"domain_scores_gemma":[0.996728,0.000059935803,0.00089926756,0.0017158999,0.0005003119,0.000096566306],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002132552,0.00018239852,0.00054543384,0.0019756716,0.00038941664,0.000105867875,0.0029379837,0.00067330303,0.005861814],"category_scores_gemma":[0.000663527,0.00020308368,0.00010371094,0.0027865171,0.00074624154,0.00074572844,0.0012689682,0.0007617776,0.00024156281],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000079287465,0.00019363366,0.002871309,0.0000266592,0.00014413708,1.3078783e-7,0.00016989572,0.0000013277951,0.00003160293,0.6984389,0.29567802,0.0024365024],"study_design_scores_gemma":[0.0003521205,0.000047757763,0.0012538325,0.000031046344,0.000023924098,0.000002289051,0.00066883146,0.000044481574,0.00004303917,0.037575383,0.9597652,0.00019210175],"about_ca_topic_score_codex":0.0017313554,"about_ca_topic_score_gemma":0.00039353178,"teacher_disagreement_score":0.6640872,"about_ca_system_score_codex":0.00017984236,"about_ca_system_score_gemma":0.0002763972,"threshold_uncertainty_score":0.995047},"labels":[],"label_agreement":null},{"id":"W7011633333","doi":"","title":"Mismatch, long-term unemployment and post-COVID labour market programmes in the Nordic countries","year":2025,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Matching (statistics); Quarter (Canadian coin); Recession; Coronavirus disease 2019 (COVID-19); Labour supply; Great recession; Full employment; NAIRU","score_opus":0.011266611453129047,"score_gpt":0.23234419571017925,"score_spread":0.2210775842570502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011633333","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48946625,0.022386512,0.00010773309,0.003669823,0.0024648788,0.0019452703,0.006660315,0.00021665916,0.47308254],"genre_scores_gemma":[0.3112444,0.01025929,0.00045237807,0.0076909913,0.0008110119,0.00063407654,0.00035568202,0.00058049115,0.6679717],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648947,0.00018441801,0.0012815777,0.0011577758,0.00012397305,0.0007627746],"domain_scores_gemma":[0.99724466,0.00046625838,0.0009654894,0.0010848398,0.00006354897,0.00017522046],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020210657,0.00071137125,0.0013145556,0.000840127,0.00017727936,0.00040335458,0.0008216951,0.0006125206,0.007665968],"category_scores_gemma":[0.0003030124,0.00067538273,0.00026010745,0.00037404898,0.00051487715,0.0001501744,0.00022486137,0.0005973657,0.00024788358],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038261034,0.00014962033,0.8721094,0.0005924783,0.00022413833,0.00006528607,0.00027374917,3.464267e-7,1.4466603e-7,0.09162093,0.034365002,0.0005606241],"study_design_scores_gemma":[0.0013832425,0.00009198723,0.3955669,0.0003521273,0.00005100704,0.000032650954,0.0001314762,0.00002649316,6.7233304e-7,0.00678007,0.59457564,0.0010076937],"about_ca_topic_score_codex":0.002795008,"about_ca_topic_score_gemma":0.0072718845,"teacher_disagreement_score":0.56021065,"about_ca_system_score_codex":0.00035791166,"about_ca_system_score_gemma":0.00038883835,"threshold_uncertainty_score":0.9995697},"labels":[],"label_agreement":null},{"id":"W7015008477","doi":"","title":"Réforme de l'assurance emploi de 2012 et mobilité des travailleurs saisonniers vers les emplois permanents","year":2016,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information system; Field (mathematics); Information management","score_opus":0.013198100447584224,"score_gpt":0.2027932401529353,"score_spread":0.18959513970535108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015008477","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7086439,0.010412626,0.005417685,0.0026060354,0.0014301928,0.0007796491,0.0041217403,0.0002734018,0.26631472],"genre_scores_gemma":[0.26665324,0.069451846,0.0015253598,0.00039379872,0.00027846763,0.000008338243,0.00020993037,0.0004956241,0.6609834],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947878,0.0004160473,0.00084733305,0.0017075747,0.00028603268,0.0019552226],"domain_scores_gemma":[0.99581563,0.0005249774,0.0012816918,0.0012477973,0.00026468484,0.0008652266],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011986727,0.0012126656,0.0015962126,0.0011398413,0.0009697749,0.00018394372,0.0018846437,0.0013301899,0.005947878],"category_scores_gemma":[0.00018098754,0.0015218309,0.0010096219,0.0008112773,0.0009228241,0.0010961976,0.0005876041,0.0009853259,0.0006667476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083517947,0.0006247185,0.6958612,0.00080978335,0.0016922005,0.0009250592,0.018821044,0.00033090127,0.001428611,0.22193825,0.0082948925,0.04843817],"study_design_scores_gemma":[0.0040249606,0.0003415985,0.29050276,0.00077900826,0.00040528786,0.00010813174,0.002175225,0.00046309156,0.00018684039,0.0063306857,0.69252115,0.0021612383],"about_ca_topic_score_codex":0.03933926,"about_ca_topic_score_gemma":0.05074894,"teacher_disagreement_score":0.6842263,"about_ca_system_score_codex":0.0070099304,"about_ca_system_score_gemma":0.00077322865,"threshold_uncertainty_score":0.99996626},"labels":[],"label_agreement":null},{"id":"W7018444421","doi":"","title":"The cyclicality of real wages and the role of heterogeneous firm dynamics","year":2021,"lang":"en","type":"dissertation","venue":"Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real wages; Wage; Quarter (Canadian coin); Business cycle; Set (abstract data type); Dynamics (music); Control (management)","score_opus":0.017988939567583413,"score_gpt":0.27110638545351284,"score_spread":0.25311744588592944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018444421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6637475,0.33112475,0.0000180422,0.0003213726,0.0007056468,0.0004918479,0.0006279591,0.000014172854,0.0029486886],"genre_scores_gemma":[0.7270102,0.27158788,0.00015641385,0.0000433384,0.00028183934,0.000029754576,0.0001421189,0.00007343091,0.0006750052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9930435,0.00038346715,0.004708093,0.0006826597,0.000524084,0.0006582411],"domain_scores_gemma":[0.98721725,0.0014551327,0.0081900405,0.0011366893,0.0017780765,0.0002227973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007296254,0.00074618484,0.0034804537,0.00028477752,0.0003796001,0.00015235838,0.0010414672,0.00041312378,0.00002994985],"category_scores_gemma":[0.0030838924,0.00051114906,0.0012590382,0.0006643438,0.0010170033,0.00021325609,0.00033200037,0.0009123558,0.0000017337927],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030394252,0.001281047,0.28454748,0.0043620043,0.013921927,0.00070644415,0.010919844,0.00007300814,0.00010169114,0.61460835,0.0008794349,0.065559365],"study_design_scores_gemma":[0.008126731,0.002001543,0.6408926,0.004961655,0.003858383,0.0008297659,0.05875354,0.0021541505,0.000499454,0.25049606,0.023919936,0.0035061506],"about_ca_topic_score_codex":0.0007940557,"about_ca_topic_score_gemma":0.0009908922,"teacher_disagreement_score":0.36411226,"about_ca_system_score_codex":0.00034299472,"about_ca_system_score_gemma":0.00036700867,"threshold_uncertainty_score":0.999734},"labels":[],"label_agreement":null},{"id":"W7018770733","doi":"","title":"Effet du salaire minimum sur l'emploi au Canada (1976-2015)","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Price formation; Work (physics)","score_opus":0.006117074886509176,"score_gpt":0.16611745898705868,"score_spread":0.1600003841005495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018770733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7624878,0.0011952313,0.00063866493,0.003865051,0.0016002851,0.00051631895,0.0037471333,0.000024478108,0.22592501],"genre_scores_gemma":[0.6653715,0.0011104718,0.00034129553,0.00017412295,0.00013493616,0.0000012207892,0.00022280685,0.000071900504,0.33257177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695724,0.00022794095,0.00082565943,0.0010081661,0.00015940137,0.00082156056],"domain_scores_gemma":[0.997002,0.0006709848,0.0010168644,0.0009637977,0.000116572046,0.00022979447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007695485,0.0005651111,0.0016106295,0.00076160044,0.00021586294,0.000033573197,0.001144855,0.0005651823,0.0027221134],"category_scores_gemma":[0.00028732352,0.0008551423,0.0003730431,0.0006188591,0.000365896,0.00019363758,0.0004868157,0.00061224843,0.000091459755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035884554,0.0006673562,0.5917184,0.0013471239,0.00073416316,0.00075432257,0.008591914,0.00056099304,0.0000024337219,0.25419572,0.01771185,0.1233569],"study_design_scores_gemma":[0.0021146243,0.00006582308,0.8914063,0.0006363301,0.000082387516,0.000002486311,0.0022283494,0.004440554,5.893983e-7,0.025167279,0.07298957,0.0008657319],"about_ca_topic_score_codex":0.9995433,"about_ca_topic_score_gemma":0.9999844,"teacher_disagreement_score":0.2996879,"about_ca_system_score_codex":0.0018866298,"about_ca_system_score_gemma":0.0023836803,"threshold_uncertainty_score":0.99938995},"labels":[],"label_agreement":null},{"id":"W7018777221","doi":"","title":"Essays on the rise of job instability in Canada, the United Kingdom and Germany","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Kingdom; Government (linguistics); Job loss; Unemployment","score_opus":0.03138168807584196,"score_gpt":0.22120921865843646,"score_spread":0.1898275305825945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018777221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473064,0.00025049935,1.0393128e-7,0.00034866296,0.0005577221,0.0005743566,0.0041711424,0.000018793331,0.046772297],"genre_scores_gemma":[0.9984623,0.0002867904,0.000015654161,0.00062772626,0.00001858501,0.000090330446,0.00018131347,0.000071339055,0.0002459596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968044,0.00034514169,0.0014072695,0.0008029219,0.00020731981,0.00043293374],"domain_scores_gemma":[0.99698526,0.00079792197,0.0010427792,0.0008854162,0.0001432987,0.0001453501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00237202,0.00046268324,0.00083923765,0.00025823797,0.0004571855,0.00006657831,0.0007840335,0.0003079015,0.00017588102],"category_scores_gemma":[0.0016572454,0.00036897993,0.00016942114,0.0009451138,0.00009020088,0.00017420453,0.00014619538,0.0014909746,0.00001703785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014070542,0.000063384534,0.009179258,0.00019847936,0.000092399416,0.00001444466,0.000027768814,0.000041368137,0.000055171276,0.988047,0.000004192647,0.0021358076],"study_design_scores_gemma":[0.0014475444,0.00013787266,0.41456953,0.0003474379,0.00007916484,0.0000034681202,0.0007141219,0.0023020227,0.0007140352,0.46902046,0.109208696,0.0014556391],"about_ca_topic_score_codex":0.6490397,"about_ca_topic_score_gemma":0.79354423,"teacher_disagreement_score":0.5190266,"about_ca_system_score_codex":0.0009643791,"about_ca_system_score_gemma":0.00015659894,"threshold_uncertainty_score":0.9998762},"labels":[],"label_agreement":null},{"id":"W7019740688","doi":"","title":"The Impact of Bioenergy and Biofuel Policies on Employment in Canada","year":2022,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Energy policy; Context (archaeology); Bioenergy; Climate change; Corporate governance; Greenhouse gas; Biofuel","score_opus":0.022159972910429693,"score_gpt":0.1828632209230127,"score_spread":0.16070324801258298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019740688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6001441,0.00073635584,0.0000031165928,0.00025676936,0.00031286545,0.00020929203,0.018036196,0.00003476517,0.38026658],"genre_scores_gemma":[0.9461543,0.004147302,0.000007712537,0.00003104091,0.000037806338,1.722775e-7,0.0005173052,0.00003796401,0.049066413],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983899,0.000058642305,0.00040888294,0.0005459623,0.00017083873,0.00042574725],"domain_scores_gemma":[0.99833536,0.00025731834,0.0006809909,0.0005154796,0.000031223524,0.00017959869],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013866501,0.00034106566,0.00065444445,0.000822795,0.000289418,0.00014545483,0.0008819065,0.00015793234,0.0002010483],"category_scores_gemma":[0.000038597136,0.00036079923,0.00028871518,0.0012654044,0.0001826512,0.0005578368,0.00080512656,0.00041179013,0.0000033997212],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038268912,0.00018911385,0.81936556,0.000070696675,0.0004854092,0.0003895881,0.00012220816,0.00055010896,2.0468387e-7,0.162645,0.014168768,0.0016306597],"study_design_scores_gemma":[0.000579691,0.00020362568,0.08627474,0.000055750512,0.000016894312,0.0000052172804,0.0017212749,0.000049472983,0.0000010559058,0.0028226632,0.9077196,0.00054998137],"about_ca_topic_score_codex":0.7589876,"about_ca_topic_score_gemma":0.21460639,"teacher_disagreement_score":0.8935509,"about_ca_system_score_codex":0.0028024935,"about_ca_system_score_gemma":0.0028340637,"threshold_uncertainty_score":0.9998844},"labels":[],"label_agreement":null},{"id":"W7019808825","doi":"","title":"The impact of minimum wages on quit, layoff and hiring rates","year":2011,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Layoff; Minimum wage; Matching (statistics); Job loss; Wage; Displaced workers","score_opus":0.04187488462824255,"score_gpt":0.3127252323843849,"score_spread":0.2708503477561423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019808825","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16200528,0.0017283586,9.006082e-7,0.00007036698,0.00022470919,0.0003935237,0.0004948867,0.000020399393,0.83506155],"genre_scores_gemma":[0.7539523,0.058940157,0.00007869134,0.000025247686,0.00021913572,0.000069670336,0.000026661399,0.00036879128,0.18631935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977458,0.000107547174,0.00078396674,0.00065863255,0.000055446064,0.00064856716],"domain_scores_gemma":[0.9977537,0.00063978037,0.0005469333,0.00089760264,0.00003258262,0.00012941287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002573566,0.00030723185,0.0007354857,0.000596739,0.000116870775,0.0001063156,0.0005594189,0.0003425014,0.0005623695],"category_scores_gemma":[0.00046554685,0.00025714794,0.00020172278,0.00015134689,0.00040595862,0.000058071233,0.0002584672,0.00059524394,0.00003719],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006853523,0.0008109624,0.31926492,0.00061077834,0.0016918568,0.000051612522,0.0010063518,0.00022233122,0.000033586388,0.43563858,0.01378828,0.22619538],"study_design_scores_gemma":[0.0035745513,0.0015734736,0.18275522,0.0009429201,0.00002015771,0.0000129547425,0.00066271186,0.004898724,0.00005874577,0.16785493,0.63511366,0.0025319678],"about_ca_topic_score_codex":0.0020157762,"about_ca_topic_score_gemma":0.00088625506,"teacher_disagreement_score":0.6487422,"about_ca_system_score_codex":0.0003143497,"about_ca_system_score_gemma":0.000099311976,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W7026491630","doi":"","title":"An analysis of inter-industry earnings differentials in Canada, 1957, 1962 and 1969","year":2011,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Work (physics); Point (geometry); Empirical research; Paid work","score_opus":0.02553140156883799,"score_gpt":0.2239893300663245,"score_spread":0.1984579284974865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026491630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9285897,0.0003952698,0.00006779722,0.000011879489,0.00033765423,0.00013490183,0.0009649123,0.000012890313,0.069484994],"genre_scores_gemma":[0.98774666,0.000018310091,0.000006636017,0.0000017977043,0.000015561316,0.0000015056287,0.00084282993,0.000026858503,0.011339847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982687,0.00012162333,0.0006798093,0.00058442797,0.000043443688,0.0003019502],"domain_scores_gemma":[0.99834085,0.00010867546,0.0006988779,0.00055714155,0.00011770268,0.00017677246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031886066,0.0003054923,0.0011935764,0.002041017,0.000089869805,0.00003125571,0.00055460824,0.00047662816,0.0004024625],"category_scores_gemma":[0.00005397707,0.00040564334,0.00018492846,0.0014663251,0.000056254663,0.0001652282,0.000094403236,0.000676002,0.000004612364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067085384,0.00017675495,0.9429863,0.00010669187,0.0005061388,0.000020667741,0.0016082199,0.0000073981955,0.000005766055,0.05371799,0.000018506773,0.0007784755],"study_design_scores_gemma":[0.00040538772,0.00004166386,0.99052095,0.000087556116,0.00032041324,2.4779538e-7,0.00059696636,0.0008777344,0.000011767997,0.0007712992,0.005942936,0.0004230994],"about_ca_topic_score_codex":0.74228436,"about_ca_topic_score_gemma":0.9993485,"teacher_disagreement_score":0.25706413,"about_ca_system_score_codex":0.00068097876,"about_ca_system_score_gemma":0.0005765633,"threshold_uncertainty_score":0.99983954},"labels":[],"label_agreement":null},{"id":"W7028367919","doi":"","title":"Essays on the changes in the occupational structure and the U.S. labor market outcomes","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Wage; Wage share; Occupational segregation; Work (physics); Occupational prestige; Task (project management); Hourly wage","score_opus":0.019822294704926895,"score_gpt":0.23199482734380614,"score_spread":0.21217253263887925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028367919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.909847,0.00055205723,6.8858334e-8,0.0018487823,0.0012243418,0.0011221891,0.011378112,0.000026361507,0.07400105],"genre_scores_gemma":[0.9891302,0.0007180397,0.000023046005,0.0043063504,0.0000562672,0.00025475796,0.0005347268,0.0000810534,0.0048955376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99696034,0.0005427876,0.000884073,0.0008416148,0.0002864906,0.00048469228],"domain_scores_gemma":[0.9957094,0.002078607,0.00091888686,0.0011051139,0.0001243569,0.000063592444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004376417,0.0005842913,0.00085846806,0.00026837585,0.000791146,0.00027658182,0.0011478446,0.00051429763,0.00078491686],"category_scores_gemma":[0.001705763,0.00033240774,0.00023623511,0.0005254583,0.0001227525,0.0002282011,0.00011939033,0.001566412,0.00007649276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032802264,0.000056071585,0.009233971,0.0000938972,0.00013270657,0.0000048159313,0.00005842032,0.000007880655,0.000006636642,0.9867181,0.000023947516,0.0033355104],"study_design_scores_gemma":[0.0016977708,0.00005962122,0.3684336,0.00009983314,0.000050899627,0.000004279849,0.00049428624,0.0002237191,0.00004425931,0.59500957,0.03319061,0.000691582],"about_ca_topic_score_codex":0.00063405663,"about_ca_topic_score_gemma":0.004862698,"teacher_disagreement_score":0.39170858,"about_ca_system_score_codex":0.00021776935,"about_ca_system_score_gemma":0.00002791611,"threshold_uncertainty_score":0.9999128},"labels":[],"label_agreement":null},{"id":"W7029296147","doi":"","title":"Information in the Labour Market: Job-Worker Matching and Its Implications for Education in Ontario","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Information system; Data collection; Government (linguistics)","score_opus":0.02053782850300224,"score_gpt":0.21856433793662533,"score_spread":0.1980265094336231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029296147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86233586,0.000005839293,0.0004323967,0.00097606383,0.00011453586,0.0006977996,0.0002475764,0.00001173283,0.13517818],"genre_scores_gemma":[0.9969659,0.0021495232,0.00018973253,0.00041303883,0.000011902086,0.000046561814,0.00006285472,0.000006824669,0.0001536584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993207,0.00005938357,0.00025543894,0.00016602833,0.000029128085,0.00016931987],"domain_scores_gemma":[0.99950594,0.00009057369,0.00017148524,0.00018080695,0.00003203235,0.000019137307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008213869,0.000088552166,0.00013756586,0.0033356887,0.0001996506,0.00006504794,0.00024803434,0.00004041649,0.000054231557],"category_scores_gemma":[0.000042434018,0.00010154996,0.000039989834,0.0021457013,0.000009478676,0.0005788173,0.00011357156,0.00021385825,0.000002178456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007842583,0.00015514038,0.18780583,0.00003393644,0.000012999262,9.673233e-7,0.014051533,0.00013365991,2.5456035e-7,0.7926574,0.00006843185,0.005001474],"study_design_scores_gemma":[0.00045512756,0.000022443452,0.27750677,0.0000053125805,0.0000032999415,0.0000020862835,0.0014455011,0.00040713028,1.324679e-7,0.0023925959,0.71764725,0.000112382855],"about_ca_topic_score_codex":0.33406377,"about_ca_topic_score_gemma":0.34401673,"teacher_disagreement_score":0.7902648,"about_ca_system_score_codex":0.00060736673,"about_ca_system_score_gemma":0.000338669,"threshold_uncertainty_score":0.67037076},"labels":[],"label_agreement":null},{"id":"W7030982940","doi":"","title":"St Eia","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shore; Quarter (Canadian coin); Harbour; Window (computing); Style (visual arts)","score_opus":0.007850644101348671,"score_gpt":0.17601970380625762,"score_spread":0.16816905970490895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030982940","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012505776,0.00043999983,0.000002060886,0.00016022628,0.0008116103,0.00027402714,0.0021558749,0.00011882072,0.9959123],"genre_scores_gemma":[0.0019433853,0.00037119983,0.0009555687,0.00029181963,0.00021952174,0.000011710741,0.0002981849,0.0001433429,0.99576527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839956,0.000015150861,0.00094301126,0.0002615085,0.00009416968,0.000286631],"domain_scores_gemma":[0.9981062,0.00005618765,0.0011102505,0.00054978393,0.000068895875,0.00010867691],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047732505,0.00029641614,0.0005879011,0.00011621906,0.000047239413,0.00006604597,0.00039841986,0.00059788773,0.65158296],"category_scores_gemma":[0.00017362469,0.00033427918,0.00019285895,0.000009148416,0.00010222372,1.7326954e-7,0.00009589255,0.00040463297,0.020934097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001629224,0.00003884997,0.000035862056,0.0002425193,0.00005535248,0.0000053206877,0.000032853186,0.000010524558,3.576275e-8,0.013004162,0.98596126,0.0005969886],"study_design_scores_gemma":[0.00034474063,0.000041957745,0.00003574305,0.000057426776,0.00001139611,0.00000912098,0.000010217879,0.000030118897,5.1327294e-7,0.0018313477,0.9972503,0.00037711204],"about_ca_topic_score_codex":0.00971903,"about_ca_topic_score_gemma":0.0030991465,"teacher_disagreement_score":0.63064885,"about_ca_system_score_codex":0.00003988713,"about_ca_system_score_gemma":0.000015838701,"threshold_uncertainty_score":0.99991095},"labels":[],"label_agreement":null},{"id":"W7036571504","doi":"","title":"Canadian veterinarians lead the way","year":2001,"lang":"en","type":"article","venue":"PubMed Central","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); MEDLINE","score_opus":0.028743727936446722,"score_gpt":0.19809037682190309,"score_spread":0.16934664888545636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036571504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9101745,0.00036745734,0.0005233726,0.010432184,0.0016558723,0.00024084476,0.00023452996,0.00002939073,0.07634187],"genre_scores_gemma":[0.99506974,0.0001900477,0.00004030537,0.001243698,0.00033968847,0.000053358526,0.0000176288,0.000016566366,0.0030289472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981316,0.000019574902,0.00029188668,0.00024419418,0.000029649276,0.0012831307],"domain_scores_gemma":[0.9991739,0.000027226519,0.00008594481,0.000340324,0.000011749251,0.00036086797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082071754,0.00011038982,0.00016364371,0.00007348171,0.0001644908,0.00012614625,0.00031597246,0.00006879506,0.00038078747],"category_scores_gemma":[0.00012319651,0.00009709871,0.00008331691,0.00020769238,0.000040215233,0.000114684066,0.000029150058,0.00014690473,0.00015612207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012001009,0.00002784079,0.5671719,0.000004590839,0.00003521634,0.000039629926,0.00030128236,0.00003197884,9.674897e-7,0.4230374,0.00088369,0.008453521],"study_design_scores_gemma":[0.00016338403,0.000007613839,0.604565,0.0000011247782,0.0000023008668,0.000011023912,0.000032610562,0.00062035455,8.965112e-7,0.024898408,0.36956042,0.00013684787],"about_ca_topic_score_codex":0.10079473,"about_ca_topic_score_gemma":0.10511475,"teacher_disagreement_score":0.398139,"about_ca_system_score_codex":0.00053644134,"about_ca_system_score_gemma":0.000054970697,"threshold_uncertainty_score":0.9112146},"labels":[],"label_agreement":null},{"id":"W7037819381","doi":"","title":"El poder regio en los textos de Ramon Llull y su recepción posterior","year":2014,"lang":"es","type":"article","venue":"Universidad de Córdoba Insitutional Repository (Universidad de Córdoba)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Nova de Lisboa; Fundação para a Ciência e a Tecnologia; Federation for the Humanities and Social Sciences; Universidad de Sevilla","keywords":"Context (archaeology); The Renaissance; Power (physics)","score_opus":0.010460528453942084,"score_gpt":0.22873400125329954,"score_spread":0.21827347279935747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037819381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87901807,0.00083347445,0.016399236,0.003165453,0.0013874909,0.00060758577,0.00086975365,0.00024270928,0.09747621],"genre_scores_gemma":[0.98187965,0.000663114,0.0026274524,0.0014726631,0.0010251935,0.0000104829,0.00020652344,0.00015098116,0.011963933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99356014,0.00086887775,0.0012978942,0.001889802,0.00048314224,0.0019001332],"domain_scores_gemma":[0.9944216,0.0007700561,0.0014640249,0.0016234991,0.00058726524,0.0011335763],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00229197,0.001056905,0.0013917218,0.0014545873,0.001477668,0.00082799466,0.0016956398,0.0015580637,0.00040295726],"category_scores_gemma":[0.0006105022,0.0014813176,0.0009547361,0.0013163341,0.00079887366,0.0015701937,0.00071623345,0.0014274986,0.00035632096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008364194,0.00058880943,0.1874176,0.00033396576,0.0006745501,0.0009645371,0.0013006036,0.0018138132,0.0043371473,0.79792625,0.002791063,0.001015222],"study_design_scores_gemma":[0.0070878053,0.00096437393,0.58627987,0.00085536286,0.0006611996,0.0013726681,0.0032005438,0.036660228,0.001335536,0.04250468,0.3151239,0.0039538485],"about_ca_topic_score_codex":0.002366123,"about_ca_topic_score_gemma":0.00018620133,"teacher_disagreement_score":0.7554216,"about_ca_system_score_codex":0.0070093027,"about_ca_system_score_gemma":0.0015342218,"threshold_uncertainty_score":0.99982226},"labels":[],"label_agreement":null},{"id":"W7039514736","doi":"","title":"Liens entre les multiples perceptions des caractÃ©ristiques de l'enfant et l'Ã©mergence de sa perception de soi et de sa prosocialitÃ©","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Set (abstract data type); Quality (philosophy); Subject (documents); Perspective (graphical)","score_opus":0.006629838467946212,"score_gpt":0.18587288195049168,"score_spread":0.17924304348254547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039514736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6133027,0.0015320847,0.0016730203,0.0029224101,0.00017793162,0.0002950433,0.0062024673,0.000021933665,0.37387237],"genre_scores_gemma":[0.89668846,0.018197425,0.00926381,0.0018998471,0.00019632891,0.000038212795,0.00009632936,0.000119016295,0.07350058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711436,0.0003919006,0.0007273503,0.0005733042,0.00034773778,0.00084535824],"domain_scores_gemma":[0.99832386,0.00038351532,0.00053370395,0.00031077306,0.000001981131,0.00044619382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015762441,0.00046120826,0.0006493013,0.00007921729,0.00039703926,0.00012396806,0.00038271947,0.00022462221,0.0026104657],"category_scores_gemma":[0.000040479837,0.00056371035,0.00014911784,0.00011551266,0.00030470302,0.00034026068,0.00013482876,0.00046749678,7.210233e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021815281,0.00018250951,0.71940863,0.00067723665,0.00024734018,0.00007133363,0.00602991,0.0007256228,0.0024787223,0.25209904,0.0013927391,0.01646877],"study_design_scores_gemma":[0.0003732854,0.00007949944,0.83328557,0.0004906851,0.00006714052,0.000018204151,0.00563528,0.009190175,0.0002769714,0.015274513,0.13451584,0.0007928637],"about_ca_topic_score_codex":0.088212706,"about_ca_topic_score_gemma":0.3701215,"teacher_disagreement_score":0.3003718,"about_ca_system_score_codex":0.0002669081,"about_ca_system_score_gemma":0.0035533833,"threshold_uncertainty_score":0.9996814},"labels":[],"label_agreement":null},{"id":"W7043635374","doi":"","title":"Three Essays in Labour Economics and Applied Econometrics","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Odds; Military service; Social integration; Census; Marital status; Compensation (psychology); White (mutation); Racism; Baseline (sea)","score_opus":0.027319377071512878,"score_gpt":0.26051433226937093,"score_spread":0.23319495519785804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043635374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90858465,0.007505933,0.00035902907,0.00065050874,0.002367383,0.0011105447,0.0013082897,0.000038755206,0.07807491],"genre_scores_gemma":[0.9620978,0.028052306,0.00055315194,0.0003718075,0.00020727186,0.00030933274,0.0012050017,0.0002256552,0.006977675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.994012,0.00006031007,0.0024678935,0.0022477293,0.00010069665,0.0011113854],"domain_scores_gemma":[0.99570054,0.0004673941,0.002225213,0.0012058018,0.00006624563,0.0003348213],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003238309,0.0009779326,0.0022248777,0.0023241402,0.00044064902,0.0005131787,0.00091528596,0.0008348948,0.004663246],"category_scores_gemma":[0.0002889134,0.0014701505,0.0002947491,0.0017762374,0.00012257017,0.00031290294,0.0005041981,0.0015043814,0.00014664847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002378788,0.00030575637,0.053145524,0.00047306097,0.0001803548,0.000012119484,0.004110358,0.001949961,0.000001941155,0.9329683,0.000031374126,0.0065833353],"study_design_scores_gemma":[0.004339744,0.00026958802,0.25795442,0.000063375075,0.000081318685,0.00000828574,0.010303711,0.021191135,0.000012839541,0.6308061,0.07138594,0.0035835402],"about_ca_topic_score_codex":0.004254514,"about_ca_topic_score_gemma":0.0076795476,"teacher_disagreement_score":0.30216226,"about_ca_system_score_codex":0.0012013919,"about_ca_system_score_gemma":0.0002759507,"threshold_uncertainty_score":0.99877477},"labels":[],"label_agreement":null},{"id":"W7044115707","doi":"","title":"U.S. employers posted more jobs in January and quitting jumped","year":2017,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Job loss; Quarter (Canadian coin); Sign (mathematics); Work (physics); Displaced workers","score_opus":0.020558035666938444,"score_gpt":0.24407820845142567,"score_spread":0.22352017278448721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7044115707","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0435149,0.0020874466,0.002090805,0.0003325118,0.0011690554,0.000871411,0.00369506,0.00018224418,0.94605654],"genre_scores_gemma":[0.20194392,0.0010307514,0.0012752409,0.00039210456,0.00040432924,0.0000756244,0.00066676206,0.00053054374,0.7936807],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99607474,0.00015710789,0.0012068752,0.0015697392,0.00012693024,0.0008646359],"domain_scores_gemma":[0.9968297,0.00028885587,0.0014184536,0.0011526083,0.00002063703,0.00028978594],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072203146,0.000818595,0.0014745891,0.0012614398,0.00005292314,0.00032773122,0.0013834414,0.00033806366,0.0016069094],"category_scores_gemma":[0.00036000044,0.000909942,0.00035845605,0.00010431244,0.00054293015,0.00017118794,0.0012123253,0.0010495665,0.0005066869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002298493,0.00019197911,0.15643984,0.00044449896,0.000554093,0.0003567726,0.0041609523,0.0000029183132,0.000019081592,0.067796394,0.7687541,0.0010494896],"study_design_scores_gemma":[0.0019942494,0.000222897,0.07225678,0.0020843565,0.00003817701,0.00003999866,0.00008733699,0.0057990635,0.000009408594,0.048381165,0.8674588,0.0016277249],"about_ca_topic_score_codex":0.084679216,"about_ca_topic_score_gemma":0.059786823,"teacher_disagreement_score":0.15842903,"about_ca_system_score_codex":0.00010386047,"about_ca_system_score_gemma":0.00005072821,"threshold_uncertainty_score":0.9993351},"labels":[],"label_agreement":null},{"id":"W7066820594","doi":"","title":"Immigration, ethnic wage differentials and output pay in Canada","year":2010,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Proteogenomics; Hyporeflexia; Demotion; Liquation","score_opus":0.01919365442561593,"score_gpt":0.1843032976874602,"score_spread":0.16510964326184427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066820594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851813,0.000037597096,0.00073151523,0.00047687828,0.0005562924,0.00014917919,0.0001668418,0.000012382035,0.0126880305],"genre_scores_gemma":[0.9931297,0.000057465022,0.00013556117,0.00021043813,0.000061022973,0.000001201055,0.00001905566,0.000016502314,0.006369097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872273,0.000038358787,0.00037286765,0.0004806025,0.00005070966,0.00033473707],"domain_scores_gemma":[0.9991775,0.000056258024,0.00019019141,0.00041516518,0.000031309068,0.00012955956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028125168,0.00018415363,0.00037663445,0.000244755,0.000056548364,0.00005040193,0.00026365125,0.00010570684,0.00053786323],"category_scores_gemma":[0.000024527248,0.00018690935,0.000047729976,0.00029109788,0.000042963162,0.00023186683,0.00019119395,0.0003664364,0.00009365631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026891215,0.00003176128,0.9696537,0.000021201971,0.000023284974,0.00006521185,0.00024016766,2.178438e-7,0.000055259792,0.027488267,0.00003460499,0.0023594128],"study_design_scores_gemma":[0.0007304503,0.000009706458,0.97306764,0.0000115298535,0.000004592711,0.000004922671,0.00016119005,0.00062909606,0.000022787657,0.0023770814,0.022720393,0.00026059302],"about_ca_topic_score_codex":0.26859117,"about_ca_topic_score_gemma":0.8834244,"teacher_disagreement_score":0.61483324,"about_ca_system_score_codex":0.00016246183,"about_ca_system_score_gemma":0.00008293191,"threshold_uncertainty_score":0.7621942},"labels":[],"label_agreement":null},{"id":"W7067168034","doi":"","title":"Labor Market Behavior Differences between the Young and Old in a Search Theoretical Model","year":2024,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Productivity; Great recession; Shock (circulatory); Youth unemployment; Unemployment rate; Discouraged worker","score_opus":0.031505677240527274,"score_gpt":0.23244755767185182,"score_spread":0.20094188043132455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067168034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99170166,0.0007008733,0.00027240717,0.0017752945,0.000104774634,0.0002520922,0.00088729936,0.0000336976,0.004271919],"genre_scores_gemma":[0.9973723,0.00021205617,0.00021958108,0.00005040653,0.000035761856,0.0000017563975,0.000014864484,0.000020611125,0.00207265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850696,0.0001291671,0.00032205816,0.00054294395,0.00013111507,0.00036776732],"domain_scores_gemma":[0.9990779,0.00027907194,0.000092113776,0.0003803898,0.00004445669,0.00012607248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022638214,0.00018478525,0.0004100541,0.00031054526,0.00023074877,0.00013556523,0.0005402336,0.00021484692,0.0006022036],"category_scores_gemma":[0.00008921482,0.00018259848,0.00012855936,0.0005220525,0.00049205276,0.00045194445,0.00037545036,0.00060297124,0.000036888356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041337767,0.000035385947,0.72389,0.00004781342,0.000037412254,0.000028446684,0.0011386311,0.0000062952367,0.000018613478,0.27429724,0.000013045319,0.00044579693],"study_design_scores_gemma":[0.00038655734,0.00004085448,0.8998699,0.000051556886,0.000031857402,0.000004319514,0.0003012555,0.015571866,0.0000068321274,0.08342833,0.00009202915,0.00021464462],"about_ca_topic_score_codex":0.00034754977,"about_ca_topic_score_gemma":0.000267958,"teacher_disagreement_score":0.1908689,"about_ca_system_score_codex":0.00012237711,"about_ca_system_score_gemma":0.00004455893,"threshold_uncertainty_score":0.74461496},"labels":[],"label_agreement":null},{"id":"W7071659607","doi":"","title":"Towards greater gender equality? An examination of gender equity policy in the European Union's labour market.","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Gender inequality; Gender equity; Gender pay gap; Inequality; Gender equality; Equity (law); Wage; Pay Equity","score_opus":0.05507062096733944,"score_gpt":0.2820154967864248,"score_spread":0.22694487581908535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071659607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5646595,0.00014584282,0.0000039105385,0.00003856224,0.0003415161,0.00041065615,0.0028287093,0.00004803186,0.4315233],"genre_scores_gemma":[0.99329334,0.00038870453,0.00022815754,0.00060434116,0.00015043623,0.000043089673,0.0013930027,0.00016102154,0.0037379237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9919559,0.0031411275,0.0022246868,0.0013603768,0.00044254685,0.0008754127],"domain_scores_gemma":[0.9961805,0.00014698334,0.001616601,0.0015049862,0.00032995682,0.00022097486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.020197405,0.00076978793,0.0011092136,0.0010975577,0.00044816596,0.0002159142,0.0015929184,0.0006757084,0.00037961395],"category_scores_gemma":[0.0010168265,0.0007613471,0.0003956115,0.0012994205,0.000072691466,0.0010038749,0.00022585108,0.0012823031,0.000080114216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006312848,0.0004165581,0.0007078494,0.00041331648,0.000105763684,0.00003300722,0.0001927005,0.000019022544,0.00013568181,0.84949905,0.0000026293385,0.1484113],"study_design_scores_gemma":[0.0007453397,0.000100735975,0.6349189,0.0000621008,0.00003545773,0.000006322596,0.00036384712,0.00005369462,0.0001570858,0.3563859,0.006395876,0.0007747035],"about_ca_topic_score_codex":0.0027897977,"about_ca_topic_score_gemma":0.0018931242,"teacher_disagreement_score":0.63421106,"about_ca_system_score_codex":0.0008760111,"about_ca_system_score_gemma":0.00006961948,"threshold_uncertainty_score":0.99948376},"labels":[],"label_agreement":null},{"id":"W7071734912","doi":"","title":"Taking off into the Wind: Unemployment Risk and State-Dependent Government Spending Multipliers","year":2021,"lang":"en","type":"article","venue":"IRIS","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal","keywords":"Unemployment; Government (linguistics); Government spending; Government expenditure; Public policy","score_opus":0.021190603724586147,"score_gpt":0.23425609941650982,"score_spread":0.21306549569192368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071734912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966855,0.0021018344,0.0020593142,0.00072774733,0.0004137957,0.00013967024,0.00027118178,0.000019844292,0.0045980634],"genre_scores_gemma":[0.99606943,0.0021373641,0.0006381739,0.00023247617,0.00005896576,0.000008444436,0.0000067343985,0.000022469447,0.00082592684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987263,0.000049460483,0.00044916323,0.00041615678,0.000102144884,0.00025676217],"domain_scores_gemma":[0.9989865,0.00013847442,0.00039686094,0.00038351657,0.000016963562,0.000077726225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010492118,0.0001444563,0.0002448502,0.000028382376,0.00022720973,0.00017335346,0.00015667114,0.000050140246,0.0002679644],"category_scores_gemma":[0.00024260381,0.00013045927,0.000072873496,0.00012613482,0.000048573962,0.000101122365,0.00023473108,0.00019305214,0.000045647477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024027197,0.00009021915,0.9195985,0.000025334743,0.00014973925,0.000031371263,0.0035633047,0.0006165455,0.00008866788,0.03474689,0.00008504616,0.04098036],"study_design_scores_gemma":[0.0020356847,0.00009076581,0.7268407,0.00005188702,0.00004806537,0.000009722795,0.0030561872,0.01702726,0.0010007039,0.13585313,0.11307772,0.00090821093],"about_ca_topic_score_codex":0.0012994381,"about_ca_topic_score_gemma":0.00049058214,"teacher_disagreement_score":0.19275783,"about_ca_system_score_codex":0.0002879163,"about_ca_system_score_gemma":0.000012396904,"threshold_uncertainty_score":0.53199744},"labels":[],"label_agreement":null},{"id":"W7071810287","doi":"","title":"Three essays on public policy in Latin America: labor markets, education, and measurement","year":2017,"lang":"en","type":"dissertation","venue":"IDEALS (University of Illinois Urbana-Champaign)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Center for Latin American and Caribbean Studies, University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign; International Development Research Centre; Tinker Foundation","keywords":"Latin Americans; Public policy; Affect (linguistics); Government (linguistics); Policy analysis","score_opus":0.030592656932745817,"score_gpt":0.22570808952837598,"score_spread":0.19511543259563016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071810287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8670739,0.0060143266,0.0005657837,0.004196278,0.0008868775,0.00088084774,0.0016810173,0.0000558695,0.11864511],"genre_scores_gemma":[0.9880254,0.0035066318,0.00042251393,0.00021168093,0.00013494997,0.000006021848,0.000490565,0.00005209454,0.0071501182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977962,0.000070834154,0.00065937993,0.0008176451,0.00022107708,0.00043491516],"domain_scores_gemma":[0.9967262,0.000093528724,0.0016948103,0.00088668463,0.0003944219,0.00020432925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014330804,0.000394035,0.0010161569,0.0012702087,0.00033304314,0.00011732075,0.000669771,0.00041403854,0.0003364122],"category_scores_gemma":[0.0006975857,0.00053819304,0.0001982031,0.00050542515,0.00014630066,0.00033028316,0.000075737174,0.00040786513,0.000049548864],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037580737,0.00095354713,0.15120438,0.00079300936,0.0003975665,0.000023806648,0.0036282144,0.000014820109,0.000021799277,0.77234286,0.0043833186,0.06586087],"study_design_scores_gemma":[0.0009720547,0.00010657879,0.7917393,0.0003191966,0.00003018943,7.16456e-7,0.0018129112,0.00040202987,0.0000032465307,0.16651514,0.037371174,0.0007275002],"about_ca_topic_score_codex":0.026360216,"about_ca_topic_score_gemma":0.03179255,"teacher_disagreement_score":0.6405349,"about_ca_system_score_codex":0.00056885934,"about_ca_system_score_gemma":0.000584711,"threshold_uncertainty_score":0.999707},"labels":[],"label_agreement":null},{"id":"W7083587861","doi":"10.1177/24731242251381566","title":"Sociodemographic Data Categorization and Health Equity Research: Expressions of Racial and Ethnic Identity in the Giving Voice to Mothers Study","year":2025,"lang":"en","type":"article","venue":"Health Equity","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Ethnic group; Categorization; Data collection; Population; Descriptive statistics; Identity (music); Equity (law)","score_opus":0.4842814858262963,"score_gpt":0.5386364698785531,"score_spread":0.05435498405225675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083587861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973705,0.0043176976,0.006363933,0.01255509,0.00021412615,0.0014732844,0.00048176304,0.000015011267,0.000874099],"genre_scores_gemma":[0.9965173,0.0018149028,0.00014977198,0.0013903376,0.000032007043,0.000034589335,0.000024283312,0.000008621817,0.0000281735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971649,0.0006655385,0.0009182593,0.0005939519,0.00016654342,0.0004908182],"domain_scores_gemma":[0.99830586,0.00037074744,0.00033330813,0.0007969936,0.00006106923,0.0001320067],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.030070415,0.00011324602,0.0004433712,0.00040580882,0.0004884059,0.00010711742,0.0006585412,0.00007334418,0.000008451757],"category_scores_gemma":[0.00085696555,0.00010703591,0.000022866248,0.0015739467,0.000117919015,0.0003546796,0.0017159536,0.00041805152,0.0000015879727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005022186,0.0006959627,0.6252175,0.0009672871,0.00003305592,0.0000011859895,0.024295676,0.000020120413,0.000008492495,0.32461086,0.00045029412,0.023649374],"study_design_scores_gemma":[0.00042444834,0.00014144093,0.8839653,0.00006500389,0.000002068376,1.9000115e-7,0.0025040668,0.0010982242,2.3037914e-7,0.111205004,0.00050924113,0.000084797925],"about_ca_topic_score_codex":0.022083485,"about_ca_topic_score_gemma":0.040911324,"teacher_disagreement_score":0.25874782,"about_ca_system_score_codex":0.0002268174,"about_ca_system_score_gemma":0.0002774138,"threshold_uncertainty_score":0.99874663},"labels":[],"label_agreement":null},{"id":"W7084587305","doi":"10.5281/zenodo.17262562","title":"CANADA 🇨🇦, AUSTRALIA 🇦🇺,UK 🇬🇧 WORK VISAS AVAILABLE CALL OR WHATSAPP MR PETER OBENDE ON ☎(08143870581).","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics)","score_opus":0.04957657193253667,"score_gpt":0.23408277419494436,"score_spread":0.1845062022624077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084587305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033257375,0.00023733117,0.0003474387,0.00054302404,0.0006979472,0.00052054273,0.005966617,0.00033436064,0.99102014],"genre_scores_gemma":[0.02942598,0.00039163395,0.00015360666,0.00067367905,0.00030900966,1.916144e-7,0.0021733837,0.0032646635,0.96360785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749255,0.00014408799,0.0006143006,0.0009284363,0.00019567084,0.0006249429],"domain_scores_gemma":[0.9980965,0.000043166292,0.0004262059,0.0010070901,0.00019054551,0.00023645876],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007510798,0.0003733649,0.00053362804,0.00046898855,0.00065295596,0.0008643701,0.0013176604,0.00026466444,0.29313344],"category_scores_gemma":[0.00064424647,0.000398626,0.000103000064,0.00070530945,0.00009529424,0.00008855369,0.0007390091,0.0005551387,0.02856343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074308875,0.00007803442,0.00004765415,0.0001332155,0.00013465693,0.000039589442,0.00003746685,0.000011598525,0.0000019277795,0.03988752,0.95808434,0.00146969],"study_design_scores_gemma":[0.00044209382,0.00009062874,0.00030365365,0.00015845169,0.000013228135,0.000005294001,0.000011853333,0.00004643596,0.000004495722,0.0006356271,0.9978312,0.0004570257],"about_ca_topic_score_codex":0.07456868,"about_ca_topic_score_gemma":0.005361678,"teacher_disagreement_score":0.26457,"about_ca_system_score_codex":0.0006794576,"about_ca_system_score_gemma":0.000042078416,"threshold_uncertainty_score":0.9998466},"labels":[],"label_agreement":null},{"id":"W7093731121","doi":"","title":"9781552386712.pdf","year":2022,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Criticism; Natural (archaeology); Natural history; Period (music)","score_opus":0.022305480539019824,"score_gpt":0.2282470698050011,"score_spread":0.20594158926598127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093731121","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014744415,0.00003264325,0.0005753667,0.0015471848,0.0019183935,0.0006799774,9.2724827e-7,0.00014962265,0.99494845],"genre_scores_gemma":[0.004350873,0.0005588416,0.00035476286,0.0013383892,0.00061334384,0.00022666983,0.0013443589,0.00051305967,0.9906997],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977039,0.000101628924,0.0008067718,0.00079898286,0.00014698094,0.00044173028],"domain_scores_gemma":[0.9973398,0.00012851386,0.0011113648,0.001295262,0.00002927647,0.00009577671],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012708625,0.00040705068,0.0006657509,0.00032167012,0.00037863202,0.00034014424,0.0011603762,0.00019784606,0.98419195],"category_scores_gemma":[0.0001527319,0.00039648885,0.00026345937,0.0004886513,0.00012296795,0.00016539257,0.00044492685,0.00053320377,0.9072036],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015193743,0.00011728957,0.0053067883,0.000061622,0.0003028882,0.00001033199,0.00008665175,0.000009967627,6.9806794e-7,0.43539554,0.0090635,0.5496295],"study_design_scores_gemma":[0.00034848115,0.000027880256,0.0013361694,0.000013775704,0.000024368119,0.0000049409373,0.000031326188,0.00013345185,2.5867382e-7,0.05278302,0.94479084,0.00050549884],"about_ca_topic_score_codex":0.0015798939,"about_ca_topic_score_gemma":0.00042011443,"teacher_disagreement_score":0.9357273,"about_ca_system_score_codex":0.0003279049,"about_ca_system_score_gemma":0.000080529506,"threshold_uncertainty_score":0.9998487},"labels":[],"label_agreement":null},{"id":"W7093749184","doi":"","title":"Canada Lily","year":2010,"lang":"","type":"other","venue":"Sycamore Scholars (Indiana State University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Identification (biology); Government (linguistics)","score_opus":0.008261863247551298,"score_gpt":0.16821775030266528,"score_spread":0.159955887055114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093749184","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2116229,0.0015169218,0.00042268191,0.0010981786,0.006778352,0.0011734214,0.025154885,0.00010371983,0.75212896],"genre_scores_gemma":[0.21895307,0.0037563962,0.0005393007,0.0008312912,0.0003670784,0.0000021598128,0.00043018072,0.0005158064,0.77460474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944812,0.00018501161,0.0012436549,0.0021507917,0.0002995483,0.00163981],"domain_scores_gemma":[0.9945417,0.00013818486,0.0020105978,0.001972034,0.0002582158,0.0010792353],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011380094,0.0011667327,0.0017415092,0.001537666,0.00072882266,0.00050246896,0.0022814611,0.0012646782,0.016342968],"category_scores_gemma":[0.00028753627,0.0016644367,0.0005352713,0.001985649,0.00038197954,0.0007311315,0.0005824529,0.0034785662,0.0010085461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005440655,0.0009830392,0.35947484,0.0014492142,0.0046487506,0.010357756,0.0011780183,0.0001986857,0.000045750465,0.5033551,0.0970765,0.020688286],"study_design_scores_gemma":[0.0014656626,0.000070541195,0.023414643,0.00013151401,0.000081158985,0.00000820429,0.00015601341,0.00012458848,0.000006318686,0.0048320633,0.96783113,0.0018781634],"about_ca_topic_score_codex":0.7450539,"about_ca_topic_score_gemma":0.9410338,"teacher_disagreement_score":0.87075466,"about_ca_system_score_codex":0.002154958,"about_ca_system_score_gemma":0.0034907528,"threshold_uncertainty_score":0.9997693},"labels":[],"label_agreement":null},{"id":"W7095286465","doi":"","title":"Unemployment Insurance, Productivity, and Wage Dispersion Alok Kumar ∗","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Wage dispersion; Earnings; Monopsony; Wage; Dispersion (optics)","score_opus":0.02084005225026968,"score_gpt":0.21487760447185617,"score_spread":0.19403755222158647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095286465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9238063,0.00074164907,0.0005465337,0.00058677315,0.0002955318,0.00017971612,0.00007820559,0.000034564975,0.07373069],"genre_scores_gemma":[0.99588865,0.0002908304,0.00051584176,0.0001653121,0.00003187228,0.000011348753,0.000006740426,0.000016567596,0.00307281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893385,0.000027645197,0.0003357682,0.000438128,0.00003419281,0.00023039308],"domain_scores_gemma":[0.9994347,0.000030937383,0.00011566494,0.00031749133,0.000021524442,0.00007969738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081201264,0.00013337078,0.00025747722,0.00008441078,0.000095315096,0.000065595406,0.000084835876,0.000059008362,0.0002922035],"category_scores_gemma":[0.00012776977,0.00013082176,0.000049657177,0.00018242652,0.000051168885,0.00019843117,0.000052968204,0.00009184787,0.0000741149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049296914,0.000078950376,0.42300233,0.000013467195,0.000013207587,0.0000015514856,0.0000499275,0.0000042830457,0.000021614167,0.5758686,0.0001222184,0.0008189239],"study_design_scores_gemma":[0.0011929662,0.000115131355,0.3968744,0.000015678785,0.0000056603317,0.000009602844,0.000050699662,0.0004371393,0.00043839347,0.41645002,0.18372147,0.00068883883],"about_ca_topic_score_codex":0.00019002879,"about_ca_topic_score_gemma":0.00006874226,"teacher_disagreement_score":0.18359925,"about_ca_system_score_codex":0.00005002135,"about_ca_system_score_gemma":0.000008946912,"threshold_uncertainty_score":0.5334757},"labels":[],"label_agreement":null},{"id":"W7095359817","doi":"","title":"Earnings dynamics in Canada: an econometric analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Distribution (mathematics); Hazard; Econometric analysis; Earnings response coefficient; Duration (music); Conditional probability; Situated","score_opus":0.02370297495038399,"score_gpt":0.19166854906784125,"score_spread":0.16796557411745727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095359817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90971154,0.00021741158,0.0014252573,0.00044138008,0.00013502424,0.00007453154,0.00021611628,0.00001923102,0.08775949],"genre_scores_gemma":[0.9971583,0.00013285848,0.0003239367,0.00035392022,0.000021026899,0.0000081769895,0.00005506841,0.000015801104,0.0019309376],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983675,0.000024159874,0.0007342687,0.0004715513,0.00004103261,0.00036149437],"domain_scores_gemma":[0.9990848,0.00006657394,0.00024331787,0.00044034712,0.000024008144,0.00014100756],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059288286,0.00014775376,0.00051440485,0.0010137325,0.000049084258,0.00006415826,0.0002875041,0.00006597955,0.0051994356],"category_scores_gemma":[0.00010518104,0.00017412342,0.000104107196,0.002829785,0.00001651147,0.0002618358,0.000045865836,0.00016490827,0.00009419672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013787431,0.000048881615,0.80290365,0.0000035567398,0.000073536365,0.000006710687,0.0000394349,0.0013309075,2.669488e-8,0.19464733,0.000036077137,0.00090848695],"study_design_scores_gemma":[0.00015928596,0.00001205451,0.44608396,5.7031093e-7,0.000009167406,3.8555714e-7,0.00009563641,0.54761094,1.9089583e-7,0.0047669187,0.0010662324,0.00019464182],"about_ca_topic_score_codex":0.95063424,"about_ca_topic_score_gemma":0.99118245,"teacher_disagreement_score":0.54628,"about_ca_system_score_codex":0.0022921786,"about_ca_system_score_gemma":0.000048424215,"threshold_uncertainty_score":0.99570996},"labels":[],"label_agreement":null},{"id":"W7095381763","doi":"","title":"The Gender Pay Gap for Private Sector Employees in Canada and Britain.","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Private sector; Prima facie; Differential (mechanical device); Gender pay gap; Efficiency wage; Argument (complex analysis); Public sector","score_opus":0.03358168388164636,"score_gpt":0.21249191365167722,"score_spread":0.17891022977003085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095381763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99135447,0.00028161987,0.0028382847,0.0025268302,0.00024107855,0.00020047021,0.00026750384,0.000008250747,0.002281506],"genre_scores_gemma":[0.9977773,0.0003214762,0.00019177915,0.00033854626,0.000034988247,0.000030255496,0.0000016497702,0.000011994012,0.0012920497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991797,0.000010890138,0.0003257581,0.00021619383,0.00002014281,0.0002473067],"domain_scores_gemma":[0.9993472,0.00030600594,0.00008683438,0.00019387662,0.000018017014,0.000048051057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532408,0.000079982405,0.00015606022,0.000028188791,0.000070605936,0.000043396187,0.00012265673,0.000028765797,0.000063016465],"category_scores_gemma":[0.00012614104,0.00004279193,0.000026356556,0.0000610666,0.000024766316,0.000071255505,0.0000425918,0.000036520807,0.0000034791644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010084072,0.0000062560853,0.54977286,0.000008724039,0.00001364796,7.603244e-7,0.00001807532,6.9143636e-7,0.000005081716,0.447636,0.00032833606,0.002199472],"study_design_scores_gemma":[0.0005923641,0.000017686503,0.53533846,0.000005100927,0.0000012773647,6.007807e-7,0.000025862322,0.00042968467,0.000016939302,0.4022554,0.061139382,0.00017726733],"about_ca_topic_score_codex":0.5048052,"about_ca_topic_score_gemma":0.9165496,"teacher_disagreement_score":0.4117444,"about_ca_system_score_codex":0.00019640192,"about_ca_system_score_gemma":0.00008012325,"threshold_uncertainty_score":0.49849233},"labels":[],"label_agreement":null},{"id":"W7095641954","doi":"","title":"Poisson Models with Employer-Employee Unobserved Heterogeneity: An Application to Absence Data∗","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poisson distribution; Distribution (mathematics); Dirichlet distribution; Parametric statistics; Estimation; Work (physics); Absenteeism; Parametric model","score_opus":0.0890135438149769,"score_gpt":0.2868483829248765,"score_spread":0.19783483910989963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095641954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5634918,0.0000428803,0.43230867,0.00022083131,0.000054755285,0.00025172436,0.00024273165,0.00007875338,0.0033077963],"genre_scores_gemma":[0.97989213,0.00002284769,0.018490568,0.0009847456,0.00008471518,0.000021716192,0.00024354954,0.000042979438,0.00021676993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979265,0.00001547076,0.0006310236,0.0009146404,0.00008017613,0.000432239],"domain_scores_gemma":[0.99764156,0.000046834673,0.00019930414,0.0017630272,0.00008101229,0.0002682602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018895342,0.00020374494,0.00033175506,0.00015141477,0.0001045336,0.00011700288,0.0007908534,0.00010061299,0.000042750835],"category_scores_gemma":[0.000035324672,0.00020005004,0.000036200014,0.0004410656,0.000031239677,0.00078197167,0.00020605768,0.0001123126,0.0001289785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013359067,0.00020867887,0.3412878,0.000022163114,0.000050488266,0.0000067991687,0.0001690045,0.0021126878,0.00015765175,0.65139043,0.00008077282,0.0043799723],"study_design_scores_gemma":[0.0013494409,0.00057788705,0.56892604,0.000024644489,0.000018777519,0.000010932442,0.00013780243,0.1482847,0.0006073747,0.26521912,0.013203567,0.0016397297],"about_ca_topic_score_codex":0.002747488,"about_ca_topic_score_gemma":0.0064091226,"teacher_disagreement_score":0.41640025,"about_ca_system_score_codex":0.00009297255,"about_ca_system_score_gemma":0.000019037798,"threshold_uncertainty_score":0.8157804},"labels":[],"label_agreement":null},{"id":"W7095652287","doi":"","title":"Economic Quarterly—Volume 97, Number 4—Fourth Quarter 2011—Pages 359–387 Accounting for the Non-Employment of U.S. Men, 1968–2010","year":2013,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin); Marital status; Working population; Trough (economics)","score_opus":0.016873919959211538,"score_gpt":0.2208811521818264,"score_spread":0.20400723222261488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095652287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8922395,0.00032951913,0.026148066,0.0077947374,0.0021903368,0.0020272299,0.00062172307,0.00008320855,0.06856565],"genre_scores_gemma":[0.98144996,0.00013490826,0.0014647748,0.00035931793,0.00026877958,0.0002815561,0.00002976537,0.000052589436,0.015958346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975558,0.000021771864,0.0012461651,0.0005629298,0.000059517322,0.00055381045],"domain_scores_gemma":[0.99798465,0.0002633705,0.00073535624,0.00081283686,0.00010387311,0.00009989105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012996296,0.00030203175,0.00062718807,0.00011046866,0.00018386696,0.00025820395,0.0005678086,0.00016209813,0.00785477],"category_scores_gemma":[0.000027175658,0.00025073672,0.00031964103,0.00008097248,0.00009615346,0.00056025037,0.00007812543,0.00017149013,0.0044299215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006836056,0.00039458682,0.5715762,0.00018852562,0.00071687833,0.000001170313,0.0014232069,0.00027751204,0.00010379567,0.28327763,0.119668,0.02230416],"study_design_scores_gemma":[0.0031115385,0.0004577418,0.46310094,0.000036415404,0.00007875685,0.0000059151585,0.0013538265,0.25352153,0.00013472262,0.19266337,0.08391691,0.0016183372],"about_ca_topic_score_codex":0.0070212386,"about_ca_topic_score_gemma":0.00059841,"teacher_disagreement_score":0.253244,"about_ca_system_score_codex":0.00013457997,"about_ca_system_score_gemma":0.000038061604,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W7095706519","doi":"","title":"Lessons from Finland","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Union density; Unemployment; Quarter (Canadian coin); Trade union; Income protection insurance","score_opus":0.026940655693163056,"score_gpt":0.22659494320904475,"score_spread":0.19965428751588168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095706519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6095183,0.0003729847,0.010778066,0.0017823062,0.00022981371,0.00004351731,0.0004997035,0.00003285422,0.37674242],"genre_scores_gemma":[0.9885484,0.000027281254,0.0013898077,0.00027463236,0.00015038489,0.000004454277,0.00005674284,0.000010234258,0.0095380545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992724,0.0000060358834,0.0003097448,0.00024066294,0.00001617558,0.00015497905],"domain_scores_gemma":[0.99957967,0.000047239017,0.000094420735,0.00023733018,0.000011461222,0.00002986346],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020860707,0.000076650635,0.00017689475,0.000045237175,0.000046209803,0.000059547805,0.00011612352,0.00005672233,0.0023062085],"category_scores_gemma":[0.00002200244,0.000079317186,0.000058544792,0.00009324274,0.000017869079,0.00007910132,0.00003203509,0.000057313395,0.0009123039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022514037,0.000032641412,0.14695214,0.0000013070717,0.0000070813508,0.0000018283532,0.000008126918,0.000012981801,0.000009257261,0.8512032,0.0015132626,0.00025592884],"study_design_scores_gemma":[0.00020009335,0.0000045398947,0.23691241,0.0000012365721,0.0000011032275,1.8468826e-7,0.000003727044,0.0012855524,0.000019355282,0.7001025,0.061351977,0.00011731031],"about_ca_topic_score_codex":0.0087315105,"about_ca_topic_score_gemma":0.00054594455,"teacher_disagreement_score":0.37903008,"about_ca_system_score_codex":0.000027487733,"about_ca_system_score_gemma":0.0000052042737,"threshold_uncertainty_score":0.9998656},"labels":[],"label_agreement":null},{"id":"W7095713483","doi":"","title":"Do Temporary-Help Jobs Improve Labor Market Outcomes for Low-Skilled Workers? Evidence from &amp;apos;Work First&amp;apos;","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Welfare; Job loss; Unemployment; Job market","score_opus":0.14683377826590013,"score_gpt":0.31462194465123744,"score_spread":0.1677881663853373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095713483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672583,0.002752761,0.010978464,0.004556287,0.002137752,0.0013519903,0.0030925074,0.0002236174,0.007648331],"genre_scores_gemma":[0.92470956,0.0020289822,0.017889066,0.0013880089,0.00046802097,0.00026150155,0.00025510078,0.00014222688,0.05285753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952634,0.00008526953,0.002009639,0.0014966291,0.00018871062,0.00095634663],"domain_scores_gemma":[0.99443865,0.0022618352,0.0009452484,0.0017507276,0.00024059715,0.0003629634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020111797,0.0006713892,0.0014665418,0.00029456845,0.0005508274,0.00031122114,0.0009850553,0.00045543775,0.004643266],"category_scores_gemma":[0.0024338611,0.0006472027,0.00064148946,0.0008050955,0.00017625176,0.000794644,0.00031120196,0.00040276424,0.00070420397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053658226,0.00024297803,0.9653291,0.00008853883,0.0002851271,0.000009511874,0.0005753295,0.00003288434,0.000008621844,0.006759853,0.025592238,0.0005391986],"study_design_scores_gemma":[0.003345063,0.00011586679,0.7104513,0.0002664183,0.00004955543,0.0000039001675,0.00012893454,0.0008673445,0.00002156422,0.040277082,0.24264225,0.0018306832],"about_ca_topic_score_codex":0.004871755,"about_ca_topic_score_gemma":0.0018399571,"teacher_disagreement_score":0.2548778,"about_ca_system_score_codex":0.00031036194,"about_ca_system_score_gemma":0.00012291624,"threshold_uncertainty_score":0.9995979},"labels":[],"label_agreement":null},{"id":"W7095781960","doi":"","title":"roiw_406 572..596 LONG-RUN INEQUALITY AND SHORT-RUN INSTABILITY OF MEN’S AND WOMEN’S EARNINGS IN CANADA","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Unemployment; Variance (accounting); Inequality; Earnings response coefficient; Unemployment rate","score_opus":0.028672560587712132,"score_gpt":0.21918111541820676,"score_spread":0.19050855483049461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095781960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899794,0.00044919067,0.00021034945,0.00033019856,0.00011991191,0.00020965285,0.00022921173,0.000013542126,0.009439993],"genre_scores_gemma":[0.9992809,0.00013795494,0.00016164266,0.00018234202,0.000017427192,0.000025998115,0.000012047058,0.000015845982,0.0001658356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788135,0.000077406985,0.0010272133,0.000528578,0.000092574344,0.00039290386],"domain_scores_gemma":[0.99883837,0.0001356175,0.0002549033,0.0003971053,0.000085368556,0.00028862752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030467997,0.0002025293,0.00068687234,0.00013222233,0.00003811721,0.000042611067,0.00016472208,0.00009945586,0.00014115934],"category_scores_gemma":[0.00054358074,0.0002124058,0.000029846318,0.00026489038,0.00010134094,0.00024807715,0.00020563495,0.00020957243,0.000001859615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046591493,0.00006126381,0.97583216,0.000081253005,0.000020052936,0.0000050763547,0.0011765214,0.000022348977,0.0000028839088,0.021840518,0.000049744634,0.0008615924],"study_design_scores_gemma":[0.0007550683,0.00006508023,0.9715352,0.000009332165,0.000002481121,0.0000019585825,0.0013807752,0.0033860584,0.00001668003,0.021555793,0.0009993277,0.00029225144],"about_ca_topic_score_codex":0.84604365,"about_ca_topic_score_gemma":0.79004526,"teacher_disagreement_score":0.055998378,"about_ca_system_score_codex":0.0009934371,"about_ca_system_score_gemma":0.00034103598,"threshold_uncertainty_score":0.86616564},"labels":[],"label_agreement":null},{"id":"W7095803617","doi":"","title":"for comments. The Rise and Fall of the Sliding Scale or Why Wages Are No Longer Indexed to Product Prices","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Product (mathematics); Incentive; Index (typography); Product market; Scale (ratio); Bargaining power; Power (physics)","score_opus":0.035576601744020886,"score_gpt":0.25256278880599364,"score_spread":0.21698618706197276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095803617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98501515,0.00035654826,0.003605683,0.0049438835,0.00035066676,0.0007399371,0.00019837593,0.00001229341,0.0047774306],"genre_scores_gemma":[0.9953938,0.000054333108,0.0011095689,0.0016014252,0.00007988993,0.000023783597,0.0000016116263,0.000014062358,0.0017215034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902064,0.0000143796215,0.00043676127,0.00026758978,0.000039463335,0.00022114387],"domain_scores_gemma":[0.9989859,0.00022103864,0.00029131927,0.0003813819,0.00007922075,0.000041180683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019215343,0.000109178116,0.00024069496,0.000060140454,0.00014975628,0.000063276166,0.00028559857,0.000043491076,0.000032648233],"category_scores_gemma":[0.00035052223,0.0000614246,0.00006382111,0.00022729016,0.00004460077,0.00009552035,0.00015220714,0.000077031684,0.0000054250713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021003615,0.00016225822,0.9288016,0.00015643105,0.00007947796,5.653237e-7,0.001083793,0.000009336793,0.00012967382,0.059659123,0.007427945,0.0022797526],"study_design_scores_gemma":[0.0010763236,0.00013707558,0.60432196,0.00005752379,0.000021202486,0.0000018040921,0.0007972156,0.0012333986,0.0018821047,0.014483442,0.37555766,0.00043030293],"about_ca_topic_score_codex":0.00035687975,"about_ca_topic_score_gemma":0.0014494117,"teacher_disagreement_score":0.36812973,"about_ca_system_score_codex":0.000033430384,"about_ca_system_score_gemma":0.00000762702,"threshold_uncertainty_score":0.25048226},"labels":[],"label_agreement":null},{"id":"W7095884369","doi":"","title":"The Causal Effect of Education on Earnings in Canada*","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Causality (physics); Work (physics); Term (time)","score_opus":0.009080109469125753,"score_gpt":0.2131157746603031,"score_spread":0.20403566519117736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095884369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9340196,0.000104533996,0.000030071431,0.00061525876,0.00029482073,0.0000822903,0.000008057637,0.0000026890907,0.06484266],"genre_scores_gemma":[0.99813896,0.00010259584,0.000007127119,0.00015168573,0.00001921033,0.000009117191,0.0000031586735,0.0000049077667,0.0015632582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944854,0.000024476052,0.00027359306,0.000112259026,0.000023337918,0.000117818265],"domain_scores_gemma":[0.9994688,0.00021039236,0.00012364206,0.00016259747,0.00001200219,0.000022549797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068501924,0.000053796037,0.00013717951,0.000043872533,0.000032907003,0.00001169571,0.000098817094,0.000020411293,0.00008364419],"category_scores_gemma":[0.0001820708,0.00004024575,0.000021777152,0.00015134353,0.000011141613,0.000027319444,0.000012828397,0.000072431874,0.000011874663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002508591,0.000014999337,0.7889744,0.000005332689,0.0000044527465,6.6349446e-7,0.000018597979,0.000039905946,0.0000015526113,0.20607828,0.00021208278,0.004624626],"study_design_scores_gemma":[0.00028559862,0.000090704285,0.95542556,0.00001055731,0.0000010968243,7.6943326e-7,0.0000453322,0.0018586977,0.000058426507,0.010814878,0.031300962,0.000107391425],"about_ca_topic_score_codex":0.8717449,"about_ca_topic_score_gemma":0.83075476,"teacher_disagreement_score":0.1952634,"about_ca_system_score_codex":0.00022845848,"about_ca_system_score_gemma":0.00013802887,"threshold_uncertainty_score":0.17233351},"labels":[],"label_agreement":null},{"id":"W7095904145","doi":"","title":"What Is Happening to Earnings Inequality in Canada in the 1990s?","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Happening; Polarization (electrochemistry); Economic inequality; Social inequality","score_opus":0.04862275825822597,"score_gpt":0.22317786048922958,"score_spread":0.17455510223100362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095904145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682517,0.00011448826,0.00028376098,0.0022537147,0.00030002513,0.00018724409,0.00003203416,0.0000068324803,0.028570179],"genre_scores_gemma":[0.9926159,0.00007802365,0.0003564049,0.006587343,0.000016849259,0.000023026567,0.0000041824783,0.000010290276,0.00030802644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985813,0.000052780546,0.0006470362,0.00033709465,0.00005257563,0.00032919517],"domain_scores_gemma":[0.9993108,0.00008977172,0.00014127101,0.00038011564,0.000016201242,0.000061832725],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002041158,0.0001210854,0.00027989523,0.0001300769,0.000037851903,0.000086363114,0.0003896141,0.000046867557,0.0009547205],"category_scores_gemma":[0.00011640488,0.00010623955,0.000037153506,0.00049490965,0.0000121559115,0.0003250814,0.000086563894,0.00020373486,0.00006715249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012485949,0.000032089065,0.8874033,0.000008717423,0.0000048389115,0.000013601634,0.0056739505,0.000013023414,5.92136e-7,0.10540953,0.0002667484,0.0011610928],"study_design_scores_gemma":[0.00025879024,0.00002000606,0.9410593,0.000019873552,7.410005e-7,8.658091e-7,0.002031209,0.0009879563,0.000013924211,0.045724314,0.009645475,0.00023754353],"about_ca_topic_score_codex":0.97691476,"about_ca_topic_score_gemma":0.96550477,"teacher_disagreement_score":0.05968522,"about_ca_system_score_codex":0.00028687372,"about_ca_system_score_gemma":0.000092958195,"threshold_uncertainty_score":0.9999585},"labels":[],"label_agreement":null},{"id":"W7096005279","doi":"","title":"Occupational earnings of graduates: evidence for the 1993 UK university population","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Population; Ceteris paribus; Social class; Quarter (Canadian coin); Occupational prestige","score_opus":0.07072139387969519,"score_gpt":0.26544711022745465,"score_spread":0.19472571634775948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096005279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844368,0.00014101803,0.010986203,0.00073101977,0.00007258591,0.00017721823,0.00016413131,0.000012362639,0.0032786373],"genre_scores_gemma":[0.9955206,0.00020026692,0.0008214133,0.0000832086,0.000026144724,0.0000019697313,0.000024777464,0.000004172138,0.0033174828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994805,0.000011055754,0.00023836266,0.00015220637,0.000026461994,0.00009141469],"domain_scores_gemma":[0.99929374,0.00033654153,0.00015136549,0.0001604963,0.000038628637,0.00001921953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056792767,0.000053309494,0.00012087757,0.000041759096,0.00010251744,0.0000140101765,0.00014549085,0.000033078013,0.0011930874],"category_scores_gemma":[0.00014670023,0.000047176818,0.000078470264,0.00015051362,0.000028095921,0.00013712609,0.000014183769,0.0000386756,0.00002309577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008377899,0.000015794863,0.56988746,0.000011189403,0.000017845921,1.03659595e-7,0.00006546503,0.0004840811,0.0000013538354,0.42687246,0.00014837398,0.002412119],"study_design_scores_gemma":[0.00021499197,0.000026515268,0.931804,0.000008785172,0.0000057408774,2.131331e-7,0.000019837804,0.018970285,0.000003130989,0.040691353,0.00817407,0.00008108908],"about_ca_topic_score_codex":0.003926586,"about_ca_topic_score_gemma":0.00012997902,"teacher_disagreement_score":0.3861811,"about_ca_system_score_codex":0.00004120929,"about_ca_system_score_gemma":0.000011305019,"threshold_uncertainty_score":0.99972},"labels":[],"label_agreement":null},{"id":"W7096152236","doi":"","title":"Why Have Aggregate Skilled Hours Become So Cyclical since the Mid-1980s?”, manuscript, Universite de Montreal","year":2005,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stylized fact; Complementarity (molecular biology); Relative price; Empirical evidence","score_opus":0.01618427892443846,"score_gpt":0.21598381636021777,"score_spread":0.1997995374357793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096152236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84827733,0.00092490326,0.007986652,0.051329978,0.0003676907,0.00034160365,0.00035157526,0.00013585303,0.09028439],"genre_scores_gemma":[0.9821503,0.00052087085,0.00087626104,0.008444713,0.00021882399,0.000008711576,0.000023417988,0.000032054955,0.007724826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982628,0.000060252307,0.0005406592,0.00049553305,0.000068486916,0.0005722716],"domain_scores_gemma":[0.99872917,0.00015722956,0.000280343,0.0006081735,0.00003818122,0.00018691322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008571055,0.00024127883,0.00040038838,0.00014016689,0.00030371555,0.00021301827,0.0005600903,0.00015760893,0.00046494766],"category_scores_gemma":[0.00009273849,0.00020897959,0.00023119814,0.00021305567,0.00016426852,0.00031345134,0.0001673176,0.0002763364,0.00021452399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017302451,0.00049379753,0.18351154,0.000027874157,0.00028734855,0.000076231605,0.0016191584,0.0014660152,0.000025488398,0.786174,0.016182726,0.009962798],"study_design_scores_gemma":[0.0028838024,0.00010107487,0.23847239,0.000028890563,0.00004713761,0.000026570306,0.0004584935,0.050609875,0.00012526894,0.11164571,0.59450644,0.0010943258],"about_ca_topic_score_codex":0.008969712,"about_ca_topic_score_gemma":0.008498649,"teacher_disagreement_score":0.6745283,"about_ca_system_score_codex":0.0003357539,"about_ca_system_score_gemma":0.000034957615,"threshold_uncertainty_score":0.99762964},"labels":[],"label_agreement":null},{"id":"W7096227914","doi":"","title":"Conference Draft – Comments Welcome Labor Market Fluidity and Economic Performance","year":2014,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fell; Great recession; Recession; Population; Job loss; Real wages","score_opus":0.021104367133889534,"score_gpt":0.2122194898044138,"score_spread":0.19111512267052427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096227914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85743695,0.0000762184,0.0012832074,0.0014507951,0.00049570436,0.00012667103,0.00023075071,0.000048696496,0.13885103],"genre_scores_gemma":[0.9939256,0.00057574327,0.0005574938,0.0010026708,0.00010497567,0.000014685381,0.000018307825,0.000019868243,0.0037807086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859464,0.000038870847,0.000556708,0.00045604524,0.000029339377,0.000324392],"domain_scores_gemma":[0.9990804,0.000103491235,0.0002118539,0.00043735572,0.000028763965,0.0001380984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012898404,0.00019355523,0.00041409448,0.00009769696,0.00013913747,0.00015436014,0.00026010524,0.00009970047,0.0023937374],"category_scores_gemma":[0.0000625932,0.0002068392,0.0000507327,0.000071870796,0.000088533794,0.0003245036,0.00015779477,0.00013588049,0.0003424842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000142293275,0.00003142163,0.52828,0.000036110243,0.000021791597,2.4614835e-7,0.000043670057,0.000004458246,0.00000407925,0.46892408,0.001393648,0.0012462556],"study_design_scores_gemma":[0.00093669124,0.000095089694,0.6901772,0.000013556221,0.00000494667,0.0000030854399,0.000016972295,0.10530991,0.00003788617,0.057942934,0.14498582,0.0004758906],"about_ca_topic_score_codex":0.00047340617,"about_ca_topic_score_gemma":0.00011652382,"teacher_disagreement_score":0.41098115,"about_ca_system_score_codex":0.00008358126,"about_ca_system_score_gemma":0.000016070762,"threshold_uncertainty_score":0.9985182},"labels":[],"label_agreement":null},{"id":"W7096383268","doi":"","title":"WORKING PAPER SERIESFEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Fixed-Term and Permanent Employment Contracts: Theory and Evidence","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Atlanta; Wage; Externality; Ex-ante; Quality (philosophy); Wage inequality; Inequality","score_opus":0.03116256938869281,"score_gpt":0.2435069218013972,"score_spread":0.2123443524127044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096383268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98474157,0.003491428,0.000081048056,0.0012263362,0.00040170667,0.00023457984,0.000026589802,0.000032339278,0.009764401],"genre_scores_gemma":[0.9944105,0.00287842,0.0004922836,0.0005789306,0.00011578195,0.000020455196,0.000008665598,0.0000273212,0.0014676136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99823457,0.00007165597,0.0007559125,0.0005127157,0.0000739827,0.00035117386],"domain_scores_gemma":[0.998566,0.0004727292,0.0003410426,0.00044679048,0.00004979356,0.0001236536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002250533,0.00023585629,0.0004996113,0.00009010884,0.0001911495,0.00026223392,0.00020690648,0.00015655176,0.00054785545],"category_scores_gemma":[0.00033183003,0.00021865644,0.00007474555,0.00011776859,0.00022021667,0.00072969426,0.00025985125,0.00030478346,0.0000050061362],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019035941,0.00003571431,0.49711037,0.000047221853,0.000054953773,0.00000794797,0.00051895046,0.0000011352272,0.0015537619,0.4984756,0.000027543862,0.0019764476],"study_design_scores_gemma":[0.00096345984,0.0001582367,0.84520274,0.0003606068,0.000030154586,0.000041193398,0.00037430075,0.00016971047,0.00029845093,0.12893641,0.022743208,0.0007215217],"about_ca_topic_score_codex":0.00054107344,"about_ca_topic_score_gemma":0.0024593263,"teacher_disagreement_score":0.36953917,"about_ca_system_score_codex":0.00003290804,"about_ca_system_score_gemma":0.00002117847,"threshold_uncertainty_score":0.891655},"labels":[],"label_agreement":null},{"id":"W7096451484","doi":"","title":"provided that full credit, including © notice, is given to the source. The Micro and Macro of Disappearing Routine Jobs: A Flows Approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Macro; Subject (documents); Developing country; On board; Editorial board","score_opus":0.034683395527307675,"score_gpt":0.2254974855034089,"score_spread":0.19081408997610122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096451484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9076552,0.00027282306,0.06816463,0.0071221474,0.00020567953,0.0005308597,0.000109540364,0.000029106697,0.015910005],"genre_scores_gemma":[0.9949627,0.000040501876,0.00249387,0.0012146141,0.00018222028,0.000029390301,0.0000061880214,0.000026484828,0.0010440606],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985792,0.00005978625,0.00054076663,0.00042900324,0.000070206,0.00032106118],"domain_scores_gemma":[0.99873376,0.00023255027,0.00029975842,0.0006146863,0.000040206574,0.000079064754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023420078,0.00018634708,0.00039149748,0.000083229286,0.000252824,0.00017630376,0.0004836604,0.00007929817,0.000060548773],"category_scores_gemma":[0.00027479723,0.00011948197,0.000104424515,0.00025135066,0.00006497714,0.00012070836,0.0004969236,0.00019004727,0.00002306526],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002717617,0.00037248436,0.5567023,0.0005132556,0.00043408014,0.0000012267524,0.020152917,0.001429685,0.0007201273,0.40152586,0.0040876055,0.013788673],"study_design_scores_gemma":[0.0022656505,0.00029203063,0.20266472,0.00009466877,0.00007882432,0.00001744047,0.0026054543,0.5500297,0.00058063696,0.047198884,0.19293824,0.001233749],"about_ca_topic_score_codex":0.0011982144,"about_ca_topic_score_gemma":0.00020697065,"teacher_disagreement_score":0.5486,"about_ca_system_score_codex":0.000039348713,"about_ca_system_score_gemma":0.000009720336,"threshold_uncertainty_score":0.48723334},"labels":[],"label_agreement":null},{"id":"W7096567425","doi":"","title":"Degree: M. A. (Economics) Title of Project: Censored Latent Effect Autoregression Model On Canadian Unemployment Rate: A Non-liner Approach.","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Vector autoregression; Autoregressive model; Estimation; Bayesian vector autoregression","score_opus":0.04088757330346407,"score_gpt":0.24087209290455353,"score_spread":0.19998451960108946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096567425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7485939,0.000071517876,0.00307489,0.0004933234,0.00036332506,0.00059743645,0.00044674412,0.00003569624,0.24632315],"genre_scores_gemma":[0.99430376,0.000045680667,0.0018580258,0.000184584,0.0000323322,0.000025730846,0.00005263419,0.000025881318,0.0034713591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999073,0.000011707624,0.00036526725,0.00029660718,0.000022902253,0.00023050146],"domain_scores_gemma":[0.9994121,0.00001760219,0.0001474993,0.0003036548,0.000021236689,0.000097887896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045987204,0.00014339556,0.00029878976,0.00018978468,0.000041178093,0.000024091718,0.0001439802,0.0001083649,0.0001161058],"category_scores_gemma":[0.000027021926,0.00012510826,0.00009263498,0.00011454159,0.000025616808,0.0000484677,0.000027379923,0.00009821869,0.00015735491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062161176,0.00019620797,0.0057457197,0.00007488754,0.000068446825,0.0000037118657,0.00013295082,0.036211442,0.000020252754,0.9541832,0.0021990486,0.0011019516],"study_design_scores_gemma":[0.0038279092,0.00047339255,0.011848236,0.00008944956,0.000024715251,0.0000029863475,0.000018109055,0.9033571,0.0009152252,0.06192958,0.016473943,0.0010393376],"about_ca_topic_score_codex":0.018950393,"about_ca_topic_score_gemma":0.0019397897,"teacher_disagreement_score":0.89225364,"about_ca_system_score_codex":0.00027667475,"about_ca_system_score_gemma":0.00012452976,"threshold_uncertainty_score":0.9875825},"labels":[],"label_agreement":null},{"id":"W7096572884","doi":"","title":"Lost in Transition: The Costs and Consequences of Sectoral Labour","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Productivity; Matching (statistics); Commodity; Production (economics); Wage; Sectoral analysis; Structural unemployment","score_opus":0.0312433419203013,"score_gpt":0.2216019585468138,"score_spread":0.1903586166265125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096572884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98364604,0.0005215693,0.00022746356,0.0018652205,0.000061387815,0.00007717673,0.00014157263,0.0000045262104,0.013455066],"genre_scores_gemma":[0.9987687,0.00041192916,0.00011494024,0.00038587986,0.000015452324,0.0000025348286,0.0000024451144,0.000003633606,0.0002944894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945194,0.000018167491,0.00029080798,0.00012625474,0.000018126679,0.0000946985],"domain_scores_gemma":[0.9997093,0.000061077444,0.00007994388,0.00011100342,0.000017643913,0.000021011407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037802357,0.00005450215,0.00016823118,0.000049706865,0.000036546324,0.000010446738,0.00007370403,0.00003605896,0.0003024123],"category_scores_gemma":[0.0000283738,0.00004324344,0.000025278616,0.00015599445,0.00018366857,0.00007568607,0.000012009753,0.000060943792,0.000010555788],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011304112,0.000027187161,0.27837566,0.000011756619,0.0000072739663,0.0000063600874,0.00043220926,0.000010076359,0.00003508173,0.72097284,0.000026994543,0.000083258805],"study_design_scores_gemma":[0.0008200554,0.00006681155,0.83308184,0.000014871314,0.0000017889615,0.000029484027,0.00025008465,0.0010830805,0.0002550661,0.16224474,0.00194399,0.00020821972],"about_ca_topic_score_codex":0.0026149722,"about_ca_topic_score_gemma":0.0005740844,"teacher_disagreement_score":0.5587281,"about_ca_system_score_codex":0.000021156857,"about_ca_system_score_gemma":0.000013825153,"threshold_uncertainty_score":0.3953073},"labels":[],"label_agreement":null},{"id":"W7096617362","doi":"","title":"The Macroeconomics of Downward Nominal Wage Rigidity: a Review of the Issues and New Evidence for Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Inflation (cosmology); Unemployment; Rigidity (electromagnetism); Real interest rate; Flexibility (engineering); Debt; Empirical evidence","score_opus":0.1104241056302172,"score_gpt":0.29362140563138944,"score_spread":0.18319730000117224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096617362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66354555,0.27507994,0.0012713405,0.045783214,0.0015623521,0.0016959681,0.001210919,0.000012939489,0.009837807],"genre_scores_gemma":[0.94949037,0.042961057,0.00136539,0.0017915176,0.000119469754,0.000024259109,0.000004772025,0.000018004424,0.0042251763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989232,0.00002267805,0.0006759502,0.00018556755,0.00003979128,0.00015282938],"domain_scores_gemma":[0.9986107,0.00027588167,0.0005049483,0.00043534447,0.00009591201,0.000077250625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017757537,0.00009693041,0.00037209314,0.000015233881,0.00005955018,0.000025867736,0.00034905432,0.00003186012,0.000029406157],"category_scores_gemma":[0.0010712643,0.000062916064,0.00007807327,0.000090322676,0.00008133527,0.00009220998,0.00011592041,0.00005755948,0.0000011827841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009455015,0.000027724527,0.063983895,0.0017691981,0.000089003595,4.4648672e-7,0.00015972847,0.00001353819,0.0000065333447,0.8662078,0.058252968,0.009394665],"study_design_scores_gemma":[0.0008595795,0.00011997728,0.03071525,0.0011299568,0.00004673428,0.000004499434,0.00013684605,0.0020290804,0.00017098256,0.1812494,0.78317106,0.00036664333],"about_ca_topic_score_codex":0.3634218,"about_ca_topic_score_gemma":0.23004648,"teacher_disagreement_score":0.72491807,"about_ca_system_score_codex":0.00009694868,"about_ca_system_score_gemma":0.0003825559,"threshold_uncertainty_score":0.78400314},"labels":[],"label_agreement":null},{"id":"W7096656860","doi":"","title":"Thomas Lemieux (University of British Columbia) NEW EVIDENCE ON THE RETURNS TO JOB SKILLS","year":2012,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current Population Survey; Wage; Matching (statistics); Relation (database); National Longitudinal Surveys; Population; Survey data collection; Work (physics)","score_opus":0.03960383586927819,"score_gpt":0.21684627795627073,"score_spread":0.17724244208699255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096656860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9351544,0.00031376327,0.001286435,0.0018379817,0.00023032991,0.00014254056,0.00019368406,0.000020574606,0.060820334],"genre_scores_gemma":[0.9444202,0.00030072854,0.0007726407,0.00069682056,0.000078613935,7.0750235e-7,0.0000018476362,0.0000096227295,0.053718828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992046,0.000022750717,0.00024205449,0.00022310972,0.000049192007,0.00025830982],"domain_scores_gemma":[0.9989963,0.00023377455,0.0001561785,0.00042511005,0.000035705805,0.00015288492],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009914697,0.0000637193,0.00023119396,0.000032355936,0.000090150876,0.00007821689,0.00035725493,0.00006767691,0.0028722577],"category_scores_gemma":[0.00033681156,0.00009265153,0.00009023594,0.00024586107,0.000037383394,0.00024763265,0.00012312084,0.00010773256,0.0001667387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013703129,0.00012905014,0.72184116,0.000021289794,0.000040195056,0.0000030150893,0.00062095263,0.000006297422,0.000021098951,0.20378338,0.07000591,0.0035139504],"study_design_scores_gemma":[0.0001991175,0.000057671103,0.92155224,0.000083195664,0.0000064865912,0.000002670632,0.00024154721,0.000082830236,0.000006962253,0.026835779,0.05069103,0.00024049284],"about_ca_topic_score_codex":0.059016313,"about_ca_topic_score_gemma":0.047495298,"teacher_disagreement_score":0.19971107,"about_ca_system_score_codex":0.000066767316,"about_ca_system_score_gemma":0.000021326776,"threshold_uncertainty_score":0.99803925},"labels":[],"label_agreement":null},{"id":"W7096682605","doi":"","title":"Performance Pay and the Autocovariance Structure of Earnings and Hours","year":2012,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage inequality; Inequality; Panel Study of Income Dynamics; Autocovariance; Wage; Collective bargaining; Perspective (graphical)","score_opus":0.01196557143089952,"score_gpt":0.1981056972709923,"score_spread":0.1861401258400928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096682605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99216384,0.00067304214,0.0004224435,0.00046601432,0.00012556539,0.00012238049,0.00004352584,0.0000088226725,0.005974341],"genre_scores_gemma":[0.99832755,0.00039400722,0.00061562506,0.00016978566,0.000046274108,0.0000031126808,0.0000017132314,0.0000070809683,0.00043483867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943215,0.000016025819,0.00024947315,0.00012405669,0.000020394236,0.00015790052],"domain_scores_gemma":[0.9995234,0.000072985866,0.00018464867,0.00016057563,0.000015331283,0.000043034284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069624616,0.00007709805,0.00021480874,0.000032152697,0.000063822656,0.000024264702,0.00007812061,0.000049112947,0.000113946226],"category_scores_gemma":[0.00007572286,0.000046334764,0.000022410859,0.000086048174,0.00014725298,0.00019107832,0.00006086668,0.000104514904,0.0000029171579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015617888,0.000005210591,0.6217645,0.00001887524,0.000011479885,2.6317808e-8,0.00034327418,0.0000033637236,0.000008671068,0.3768911,0.000011517645,0.0009263811],"study_design_scores_gemma":[0.0006351696,0.0000146415905,0.9741604,0.0000058042124,0.0000042928314,0.0000032258424,0.0000320668,0.0034192097,0.00003103129,0.018829236,0.0027640318,0.00010089084],"about_ca_topic_score_codex":0.0001706986,"about_ca_topic_score_gemma":0.000006775367,"teacher_disagreement_score":0.35806185,"about_ca_system_score_codex":0.00000777385,"about_ca_system_score_gemma":0.0000043643604,"threshold_uncertainty_score":0.18894768},"labels":[],"label_agreement":null},{"id":"W7096772496","doi":"","title":"Expanding the African-American Middle Class: Improving Labor Market Outcomes","year":2005,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Educational attainment; Racial differences; Quarter (Canadian coin); Snapshot (computer storage); Current Population Survey; Nonfarm payrolls","score_opus":0.025706063594711188,"score_gpt":0.2355179804685886,"score_spread":0.2098119168738774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096772496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79375243,0.0005842194,0.0031993533,0.011618686,0.00048471027,0.00026728548,0.0002747809,0.00011908085,0.18969947],"genre_scores_gemma":[0.9816618,0.00012058997,0.0014629536,0.0022166804,0.00018870497,0.000039675862,0.0000054428697,0.000032012336,0.014272139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99834436,0.000040177772,0.00065865176,0.00042558307,0.00006334182,0.00046787385],"domain_scores_gemma":[0.9985815,0.00028099443,0.00040719582,0.0005912754,0.000039843704,0.000099132834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012926944,0.00020776554,0.00043217096,0.00012751471,0.0002113985,0.00023985736,0.00043513384,0.00005690099,0.00090478436],"category_scores_gemma":[0.00029165554,0.00015603888,0.00014638292,0.00041481765,0.00012079349,0.00026206792,0.00014071297,0.00019899351,0.00018483457],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025448964,0.00012533525,0.37918115,0.000016998007,0.0001025541,0.0000027057517,0.00065300526,0.00010729877,0.000014605716,0.6055918,0.0019231575,0.012255964],"study_design_scores_gemma":[0.0012228341,0.0001174356,0.5305974,0.000012584555,0.000025339075,0.0000053197696,0.0024563356,0.05667491,0.00004117468,0.04068912,0.3669392,0.0012183493],"about_ca_topic_score_codex":0.0017140902,"about_ca_topic_score_gemma":0.0003338354,"teacher_disagreement_score":0.56490266,"about_ca_system_score_codex":0.00016708145,"about_ca_system_score_gemma":0.000021696773,"threshold_uncertainty_score":0.99067545},"labels":[],"label_agreement":null},{"id":"W7096805973","doi":"","title":"Unemployment Benefit Extensions","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Percentage point; Point (geometry); Unemployment rate; Quarter (Canadian coin); Recession; Extension (predicate logic)","score_opus":0.07298006197946706,"score_gpt":0.2258494350335416,"score_spread":0.15286937305407455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096805973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5681906,0.00018589309,0.0038215057,0.0002736569,0.00033528576,0.00008769914,0.00006905182,0.000065091976,0.42697123],"genre_scores_gemma":[0.9884556,0.00007347131,0.003153324,0.00062428566,0.000028631926,0.000010566428,0.0000059148997,0.0000139138065,0.0076342872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916095,0.0000038038245,0.00036441974,0.00025401977,0.000018323319,0.00019850311],"domain_scores_gemma":[0.9994383,0.000014915644,0.00009999589,0.00034170542,0.000026144986,0.00007897724],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003211855,0.000089152796,0.0001815296,0.00007350367,0.00005774672,0.00001891639,0.00014583151,0.000050203867,0.004379791],"category_scores_gemma":[0.000031336163,0.00008914263,0.00007449484,0.00012585263,0.000022898164,0.00009042645,0.00006437839,0.000060333336,0.00083481363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033804245,0.00007127549,0.08318397,0.0000022673655,0.000013765057,0.000002767555,0.000111112306,0.0000014469063,0.000002471321,0.9160316,0.0001337127,0.00044223986],"study_design_scores_gemma":[0.00020965116,0.00003780543,0.17124653,0.000002995407,0.0000025058475,0.0000015850312,0.000027711692,0.00064257346,0.00004466722,0.80833113,0.019247785,0.0002050422],"about_ca_topic_score_codex":0.0008667073,"about_ca_topic_score_gemma":0.00007930834,"teacher_disagreement_score":0.42026502,"about_ca_system_score_codex":0.000031369436,"about_ca_system_score_gemma":0.0000045263077,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W7096838915","doi":"","title":"PRELIMINARY AND INCOMPLETE","year":2005,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labor relations; Shareholder; Variance (accounting); Wage; Industrial relations; Quality (philosophy); Complete information","score_opus":0.025483586553711888,"score_gpt":0.21838213637736498,"score_spread":0.1928985498236531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096838915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82116634,0.00081399287,0.0036133751,0.0029113807,0.00008265268,0.00007302494,0.000052468222,0.00004164686,0.17124513],"genre_scores_gemma":[0.99270177,0.00010410935,0.0038087636,0.0008144688,0.000078489546,0.0000044641615,0.000004249233,0.000007944261,0.0024757525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994164,0.0000050040217,0.0002497477,0.0001906274,0.000011523835,0.00012667057],"domain_scores_gemma":[0.99968976,0.000028472801,0.000064798274,0.00015793926,0.000008827384,0.000050193514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102717,0.00006413408,0.00013784232,0.00005292806,0.000044426357,0.000035493213,0.000072053765,0.000036397836,0.0005299995],"category_scores_gemma":[0.000030496412,0.00006712513,0.000025907679,0.0000611783,0.000025355108,0.00013270286,0.00006240754,0.000051017432,0.00020920079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076246915,0.00002476403,0.04008168,0.000006385238,0.000007972277,7.853004e-7,0.00006895602,0.000007192022,0.0000038266694,0.95348936,0.0002934645,0.0060079633],"study_design_scores_gemma":[0.0005696458,0.00009081848,0.28919053,0.0000046647883,0.0000025712131,0.0000080003565,0.00002409495,0.0267956,0.000018424673,0.38560778,0.29735908,0.00032876877],"about_ca_topic_score_codex":0.00010056928,"about_ca_topic_score_gemma":0.000025771993,"teacher_disagreement_score":0.5678816,"about_ca_system_score_codex":0.000021353739,"about_ca_system_score_gemma":0.0000028066538,"threshold_uncertainty_score":0.5803123},"labels":[],"label_agreement":null},{"id":"W7096860458","doi":"","title":"Federal Reserve Bank","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Wage; Quality (philosophy); Labor contract; Implicit contract theory; Contract theory","score_opus":0.025337914190379923,"score_gpt":0.23148963873345682,"score_spread":0.2061517245430769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096860458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66960704,0.000031763666,0.00088259805,0.001263285,0.0006662232,0.000053521017,0.000053379692,0.000042286112,0.32739988],"genre_scores_gemma":[0.98791105,0.000013181087,0.0019373175,0.0005564821,0.00014850915,0.00000686425,0.000011359309,0.000013582433,0.009401683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916196,0.000006202536,0.00033787094,0.0002572454,0.000021591028,0.00021510282],"domain_scores_gemma":[0.99939185,0.00003574186,0.00009628219,0.0003723859,0.000026953643,0.00007676792],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068749156,0.00008579557,0.000178236,0.00006531135,0.000085734675,0.000111053654,0.00020426148,0.00009166353,0.0040181126],"category_scores_gemma":[0.00016187591,0.000087665285,0.00007494618,0.00012063784,0.000031493666,0.000148287,0.000064183514,0.00021564278,0.0006739085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037672264,0.000027588889,0.14201105,0.0000036061388,0.000007744101,0.0000018102435,0.000020955222,7.4510723e-7,0.0000614214,0.8568075,0.0007723492,0.00028152627],"study_design_scores_gemma":[0.00035718258,0.000022618991,0.1190092,0.00000128925,8.0417254e-7,0.0000026657915,0.000011248925,0.0027853749,0.00007092622,0.7402994,0.1371825,0.00025679718],"about_ca_topic_score_codex":0.001035149,"about_ca_topic_score_gemma":0.0010334264,"teacher_disagreement_score":0.31830394,"about_ca_system_score_codex":0.0000150789965,"about_ca_system_score_gemma":0.0000093370245,"threshold_uncertainty_score":0.99689233},"labels":[],"label_agreement":null},{"id":"W7096860506","doi":"","title":"Employment Effects of Nominal-Wage Rigidity: An Examination Using Wage-Settlements Data.” Bank of Canada Working Paper No","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Payment; Government (linguistics); Unemployment","score_opus":0.03916979040783242,"score_gpt":0.24191034747250312,"score_spread":0.2027405570646707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096860506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827229,0.0001370295,0.00064943364,0.00003728528,0.0003422829,0.00023712113,0.00047864695,0.000009920493,0.015385385],"genre_scores_gemma":[0.99704206,0.00007096589,0.0015678636,0.00016392654,0.000065928674,0.0000045543843,0.00017399444,0.00002178291,0.0008889354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831027,0.000062269195,0.00080981135,0.0004347791,0.00010474132,0.00027815357],"domain_scores_gemma":[0.9985527,0.00011565767,0.00039375576,0.0008049717,0.000051599938,0.00008134581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011721341,0.00016239614,0.0004217169,0.000093778544,0.00007276067,0.000031937383,0.00038785144,0.000067521105,0.0016331187],"category_scores_gemma":[0.00008974306,0.00017720256,0.000042792544,0.00020164336,0.00003242346,0.00037632638,0.0001072096,0.00008365089,0.0000078029625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033771517,0.0029440597,0.5219835,0.001433011,0.001145276,0.00011489416,0.0014375796,0.0026243487,0.0050191865,0.15645552,0.002066607,0.30443832],"study_design_scores_gemma":[0.0029360852,0.00035003608,0.8351073,0.00027614713,0.00009008816,0.0000031884665,0.00009695795,0.10324443,0.0022796148,0.0072206524,0.04710968,0.0012857717],"about_ca_topic_score_codex":0.2453264,"about_ca_topic_score_gemma":0.0969135,"teacher_disagreement_score":0.31312385,"about_ca_system_score_codex":0.00023299325,"about_ca_system_score_gemma":0.00009507107,"threshold_uncertainty_score":0.9992795},"labels":[],"label_agreement":null},{"id":"W7096965226","doi":"","title":"Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years.” NBER Working Paper No","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Openness to experience; Information and Communications Technology; Falling (accident); Distribution (mathematics); Test (biology); Workforce; Dreyfus model of skill acquisition","score_opus":0.027761671514420112,"score_gpt":0.23095248357171932,"score_spread":0.20319081205729922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096965226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97888696,0.0008446739,0.0024386186,0.0009910263,0.0017877071,0.00021180612,0.00025546964,0.00008531628,0.014498391],"genre_scores_gemma":[0.9904973,0.00039402372,0.00319693,0.0016472529,0.00045984625,0.000014704692,0.000027729802,0.00003951203,0.0037227108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815136,0.000032481814,0.0007124972,0.00059031876,0.000093279166,0.00042003952],"domain_scores_gemma":[0.9983189,0.0004615249,0.0003161623,0.00070426776,0.000070977054,0.0001281864],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012507386,0.00023086314,0.0004961364,0.00010256303,0.0001562023,0.0004465244,0.00041894332,0.00025954348,0.010575508],"category_scores_gemma":[0.0006353776,0.0002362134,0.00016633824,0.00018888545,0.00011481777,0.00059362024,0.00016571699,0.0004165188,0.0013704896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008263963,0.000079047415,0.75403845,0.000015117516,0.000121431614,0.00001510584,0.00047524797,0.0000028265727,0.0011161688,0.24236816,0.0012807447,0.00040504162],"study_design_scores_gemma":[0.000991489,0.000028142309,0.6233555,0.00005853189,0.000017404176,0.0000016273798,0.000013774648,0.0020350635,0.000047078203,0.102335855,0.2705124,0.00060309784],"about_ca_topic_score_codex":0.0055265515,"about_ca_topic_score_gemma":0.0018839663,"teacher_disagreement_score":0.26923168,"about_ca_system_score_codex":0.00006649264,"about_ca_system_score_gemma":0.000050212933,"threshold_uncertainty_score":0.99940705},"labels":[],"label_agreement":null},{"id":"W7096983103","doi":"","title":"Department of Economics Working Paper Series On Voters ’ Attitudes Towards Unemployment Insurance Subsi- dies across Regions: A Canadian Simulation","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Asset (computer security); Subsidy; Moral hazard; Hazard; Income protection insurance","score_opus":0.047887621700366964,"score_gpt":0.2612583643496189,"score_spread":0.21337074264925193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096983103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145335,0.00031154434,0.00043775456,0.0019638378,0.00033580736,0.0002670616,0.0005482155,0.000028211674,0.004654201],"genre_scores_gemma":[0.9976977,0.0006731428,0.0005779831,0.00070307014,0.000046915622,0.00002957319,0.000046484194,0.000024428704,0.00020069133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984789,0.000013212689,0.0006928153,0.00039894594,0.000033599637,0.0003825248],"domain_scores_gemma":[0.9990944,0.0000455349,0.00029074945,0.00039725186,0.000043167973,0.00012885725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047218337,0.00019691132,0.00038187637,0.00012186236,0.00016592476,0.000093448696,0.00018707183,0.00010106103,0.00004592834],"category_scores_gemma":[0.00006846394,0.00021037603,0.000118956516,0.00016795371,0.00008481352,0.00028730216,0.000046467216,0.00009241366,0.000023126506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006319508,0.00010045143,0.21953957,0.000029402827,0.000091808484,0.0000037193938,0.00058437366,0.13214724,0.0000013187793,0.6460409,0.000007998154,0.0013900266],"study_design_scores_gemma":[0.0014263674,0.0002456758,0.7704093,0.000117811585,0.0000073154415,0.0000019169872,0.00021556253,0.0013924369,0.00013490327,0.1988867,0.026459096,0.0007029544],"about_ca_topic_score_codex":0.048837353,"about_ca_topic_score_gemma":0.3065721,"teacher_disagreement_score":0.5508697,"about_ca_system_score_codex":0.0006461901,"about_ca_system_score_gemma":0.00008138497,"threshold_uncertainty_score":0.9574965},"labels":[],"label_agreement":null},{"id":"W7097029648","doi":"","title":"2002) “Occupational Gender Segregation and Women&amp;apos;s Wages in Canada: An Historical Perspective” Cirano Working Paper","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Occupational segregation; Wage; Portrait; Wage inequality; Sex segregation; Gender pay gap","score_opus":0.1785479635748971,"score_gpt":0.28332777449521107,"score_spread":0.10477981092031396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097029648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681024,0.0009281374,0.0008653214,0.00070009613,0.00035731617,0.00010362037,0.00004213937,0.000017108734,0.02888387],"genre_scores_gemma":[0.99670726,0.00005290976,0.0008114448,0.0005235481,0.0000796274,0.000018159899,0.000012795855,0.000014614923,0.0017796279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988095,0.00003797862,0.00041779754,0.00038501233,0.00007873281,0.0002709501],"domain_scores_gemma":[0.999362,0.000050847782,0.00013317054,0.00019612054,0.000076556586,0.00018129277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080498087,0.0001286115,0.0002608862,0.00013438947,0.000054214215,0.000053899545,0.00010078322,0.000070004106,0.0006732527],"category_scores_gemma":[0.00016662988,0.00013965536,0.000020717545,0.00022149403,0.000017534749,0.00030251796,0.000038665607,0.00012963451,0.000016732842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004816433,0.00006922538,0.5744843,0.0000071367285,0.000018988552,0.000004650277,0.0021256749,0.00013560032,0.0000035177948,0.4212543,0.000919437,0.00092899584],"study_design_scores_gemma":[0.0010120594,0.000035103065,0.7609655,0.0000047805033,0.0000026374655,0.000003905751,0.0016272156,0.004134074,8.649025e-7,0.17858824,0.053182818,0.00044279892],"about_ca_topic_score_codex":0.72789335,"about_ca_topic_score_gemma":0.7903886,"teacher_disagreement_score":0.24266607,"about_ca_system_score_codex":0.0069572125,"about_ca_system_score_gemma":0.0003582317,"threshold_uncertainty_score":0.9968549},"labels":[],"label_agreement":null},{"id":"W7097037420","doi":"","title":"Testing Intertemporal Substitution, Implicit Contracts, and Hours Restrictions Models of the Labor Market using Micro Data*","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social research; Social assistance; Market research; Politics; Gender pay gap; Industrial relations","score_opus":0.0961298648046579,"score_gpt":0.26691700689670717,"score_spread":0.17078714209204926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097037420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675528,0.0005931205,0.01750321,0.00037476065,0.00023028534,0.0001713571,0.0008936499,0.00002235576,0.01265846],"genre_scores_gemma":[0.9963192,0.00017207237,0.0030756756,0.00017818694,0.00004681369,0.0000024077221,0.000014466722,0.000012957487,0.00017821838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988078,0.000025509129,0.0005928875,0.00033366942,0.000033524655,0.00020664098],"domain_scores_gemma":[0.99872005,0.00013728079,0.00036069273,0.00063596875,0.00009154179,0.000054452263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008129201,0.00011844303,0.0002572745,0.00008994663,0.00015565232,0.00007186843,0.00034533802,0.00007153079,0.000046728263],"category_scores_gemma":[0.0003459638,0.000101553225,0.000038321185,0.00046890476,0.000096573975,0.0004261884,0.00023060592,0.00012333647,0.0000013208643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018558945,0.00006595041,0.8111279,0.000014145986,0.00003902677,0.0000020944713,0.000037302787,0.00038502974,0.00029887428,0.18751045,0.00016292652,0.00033772484],"study_design_scores_gemma":[0.00056023954,0.000018350773,0.6076723,0.000049648977,0.00002195657,0.000037424703,0.00006896987,0.2640732,0.000030330297,0.12536685,0.001838566,0.00026217962],"about_ca_topic_score_codex":0.0047828206,"about_ca_topic_score_gemma":0.0002744397,"teacher_disagreement_score":0.26368818,"about_ca_system_score_codex":0.000054040738,"about_ca_system_score_gemma":0.00004658409,"threshold_uncertainty_score":0.72302264},"labels":[],"label_agreement":null},{"id":"W7097116512","doi":"","title":"How Would One Extra Year of High School Education Affect Labor Market Outcomes? Evidence from a Unique Policy Change","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Affect (linguistics); Government (linguistics); School education; Education policy; Instrumental variable; Public policy; Education economics","score_opus":0.09543067539798245,"score_gpt":0.2712568242171339,"score_spread":0.17582614881915143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097116512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751647,0.0007980821,0.0021537482,0.005316729,0.0004298266,0.00051710004,0.0007628433,0.00005368938,0.01480328],"genre_scores_gemma":[0.98589265,0.0008883699,0.006465973,0.0010708518,0.00021920606,0.00009322405,0.000024499986,0.000031282332,0.0053139534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986579,0.00006512534,0.00049515127,0.00044220535,0.000064582564,0.00027505963],"domain_scores_gemma":[0.99842113,0.00013313894,0.00046075726,0.000717458,0.00011064982,0.00015687144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077178696,0.00019815982,0.0005178609,0.00030838308,0.000038947826,0.000075623495,0.0003730838,0.0002539897,0.002542067],"category_scores_gemma":[0.0010261972,0.00020320553,0.00012545685,0.00045145067,0.00004981368,0.0006299974,0.00010370972,0.00024514343,0.00008408571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004432257,0.00023777952,0.5928282,0.000049873433,0.00006327179,6.7697823e-7,0.0002719286,4.4148262e-8,0.000028312948,0.40399855,0.00023227015,0.0022447656],"study_design_scores_gemma":[0.00026560455,0.000060747636,0.8740135,0.00006612135,0.000010239901,2.1537502e-7,0.00006811296,0.000058922687,0.00015876285,0.12400521,0.0010529327,0.000239653],"about_ca_topic_score_codex":0.043816175,"about_ca_topic_score_gemma":0.0005190788,"teacher_disagreement_score":0.28118527,"about_ca_system_score_codex":0.00016202977,"about_ca_system_score_gemma":0.00013267407,"threshold_uncertainty_score":0.99836975},"labels":[],"label_agreement":null},{"id":"W7097163939","doi":"","title":"The Long-Term Effects of Unemployment Insurance:","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Work (physics); Current Population Survey; Secular variation; Natural experiment; Sample (material)","score_opus":0.014869730923476515,"score_gpt":0.2252365374335191,"score_spread":0.21036680651004258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097163939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95867735,0.001956538,0.0018385819,0.00013962806,0.00056355423,0.00017781398,0.000019279185,0.000014520631,0.036612723],"genre_scores_gemma":[0.9971887,0.00065318955,0.00009618723,0.00010507188,0.000014941815,0.000016036005,0.000001607646,0.00001032566,0.0019139554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99916196,0.000028421895,0.0004185107,0.00017396083,0.000030475812,0.00018666749],"domain_scores_gemma":[0.99918926,0.00020370133,0.00019062006,0.00035077217,0.000026599206,0.00003904176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006614447,0.00008753425,0.00020331953,0.000034450866,0.00008143957,0.00003406326,0.0001596421,0.000043534303,0.000083890605],"category_scores_gemma":[0.00021726375,0.00006605347,0.00008061817,0.00015115632,0.000052106407,0.00005339184,0.00002477003,0.00006452463,0.0000456632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029858872,0.000037032216,0.428636,0.000027794353,0.000019349043,0.000001021449,0.000019194491,0.0000025392712,0.000007745752,0.5706162,0.00002686934,0.0006032608],"study_design_scores_gemma":[0.0005985811,0.00006150083,0.8324994,0.000014229569,0.0000029427003,0.0000011039122,0.0000058520172,0.00006529487,0.0011529821,0.16016136,0.005263332,0.00017341781],"about_ca_topic_score_codex":0.000049812938,"about_ca_topic_score_gemma":0.000031723615,"teacher_disagreement_score":0.41045484,"about_ca_system_score_codex":0.00003279754,"about_ca_system_score_gemma":0.000010664882,"threshold_uncertainty_score":0.26935822},"labels":[],"label_agreement":null},{"id":"W7097225918","doi":"","title":"the source. The Changing Nature of Wage Inequality","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Inequality; Wage inequality; Economic inequality; Production (economics)","score_opus":0.016170335797345725,"score_gpt":0.2371083576531993,"score_spread":0.22093802185585357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097225918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9249123,0.0011708711,0.023527691,0.002212443,0.00052382227,0.00016345446,0.000051515875,0.000028294076,0.04740961],"genre_scores_gemma":[0.9966096,0.00008690385,0.00011874261,0.0007104557,0.00011921058,0.0000033890885,0.0000039145034,0.000012157219,0.0023356038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987823,0.000026662321,0.00060485856,0.00019150294,0.000052220646,0.00034249094],"domain_scores_gemma":[0.99856764,0.00048647786,0.00032657332,0.00053305615,0.00004817056,0.000038091996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069599063,0.0001011282,0.0001987962,0.00007398884,0.00027183708,0.000054968277,0.00039914076,0.00012209956,0.000094935036],"category_scores_gemma":[0.0003455912,0.000059061702,0.00011962779,0.00040479694,0.0000946975,0.000063396204,0.00012808692,0.00029721446,0.000024138666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013567341,0.000020227759,0.03537885,0.000007436099,0.000026159896,5.7186656e-7,0.0003710523,0.0000067518245,0.000007933861,0.9609703,0.00009934588,0.0030978112],"study_design_scores_gemma":[0.00060945714,0.0000545794,0.25842103,0.000015466825,0.000010091738,0.0000034560555,0.0019482269,0.0045174886,0.0005567109,0.42342213,0.30996978,0.00047158587],"about_ca_topic_score_codex":0.0003040144,"about_ca_topic_score_gemma":0.00026379825,"teacher_disagreement_score":0.5375482,"about_ca_system_score_codex":0.000035284727,"about_ca_system_score_gemma":0.000008041669,"threshold_uncertainty_score":0.24121785},"labels":[],"label_agreement":null},{"id":"W7097231518","doi":"","title":"and","year":2007,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Microdata (statistics); Current Population Survey; Per capita; Population; Survey data collection; Unemployment rate","score_opus":0.022079554863270633,"score_gpt":0.22251716188089923,"score_spread":0.2004376070176286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097231518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65986735,0.0002478151,0.022081725,0.00026559565,0.000096280135,0.000025803482,0.0000093131985,0.000018402312,0.31738773],"genre_scores_gemma":[0.9960507,0.00003899503,0.001380614,0.00039732605,0.000029515993,4.4737814e-7,0.0000012013521,0.000004108927,0.0020970483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995857,0.0000012076126,0.00018084938,0.000116609466,0.000006997129,0.000108631815],"domain_scores_gemma":[0.99979466,0.000026602223,0.000039598635,0.00009122011,0.0000063362318,0.000041561827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079000427,0.000035534034,0.000081097336,0.000044354176,0.000024643277,0.00001955717,0.000036011224,0.000027337857,0.00025303636],"category_scores_gemma":[0.000034476056,0.000036630667,0.000014952427,0.000061796294,0.000016344533,0.000050716688,0.000021640519,0.000031343458,0.000073852956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019029508,0.000006778896,0.12751023,0.0000020765997,0.0000029242638,0.0000012076159,0.000022634815,8.485635e-8,0.000004074852,0.8708052,0.00003868575,0.0016041939],"study_design_scores_gemma":[0.00016696638,0.000012444616,0.35087729,8.409506e-7,4.6892816e-7,0.0000018943325,0.00002159757,0.00028964362,0.000023170773,0.5984691,0.05003241,0.00010417663],"about_ca_topic_score_codex":0.0001290303,"about_ca_topic_score_gemma":0.000046731773,"teacher_disagreement_score":0.3361834,"about_ca_system_score_codex":0.000010438233,"about_ca_system_score_gemma":0.0000011678227,"threshold_uncertainty_score":0.27705708},"labels":[],"label_agreement":null},{"id":"W7097259291","doi":"","title":"of LaborSample Attrition in the Canadian Survey of Labor and Income Dynamics","year":2013,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attrition; Research center; Work (physics); Citation; Center (category theory); Politics","score_opus":0.03365799667371594,"score_gpt":0.2252605051501661,"score_spread":0.19160250847645016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097259291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922833,0.00013100055,0.00010043003,0.0013950937,0.000043854772,0.00016990823,0.0017075278,0.0000023193559,0.0041665845],"genre_scores_gemma":[0.999332,0.00006531462,0.00023135541,0.00021655315,0.0000040341033,0.000008031259,0.000075582546,0.0000057604334,0.00006137553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920046,0.000056100103,0.00044900947,0.00012759592,0.000026299567,0.00014050692],"domain_scores_gemma":[0.99928516,0.00018745905,0.0001560623,0.00021793201,0.00010922235,0.00004416287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015317177,0.00006346095,0.00022743751,0.00017653788,0.000029849258,0.000029168474,0.00015479245,0.00006737584,0.00016145046],"category_scores_gemma":[0.00027181586,0.00005485374,0.000018193463,0.00046172267,0.000059097405,0.00010876908,0.000022330834,0.000073651136,0.0000050319295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012917288,0.000014716091,0.5991216,0.000014739749,0.0000036901185,1.3912529e-7,0.000066331435,0.0000026516025,6.872243e-7,0.40065584,0.000012232149,0.000106097854],"study_design_scores_gemma":[0.00016821087,0.000019160489,0.92606497,0.00000402679,6.873575e-7,2.607714e-7,0.00005515264,0.0051037977,0.0000017975306,0.068405405,0.00011285933,0.00006364956],"about_ca_topic_score_codex":0.9289778,"about_ca_topic_score_gemma":0.9558169,"teacher_disagreement_score":0.33225042,"about_ca_system_score_codex":0.00006904108,"about_ca_system_score_gemma":0.000040420524,"threshold_uncertainty_score":0.22368707},"labels":[],"label_agreement":null},{"id":"W7097284553","doi":"","title":"Careers in Firms: Estimating a Model of Learning, Job Assignment and Human Capital Acquisition. Research Department Staff Report 469, Federal Reserve Bank of Minneapolis","year":2012,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage growth; Wage; Learning effect; On-the-job training; Duration (music); Quarter (Canadian coin); Affect (linguistics); Human capital theory","score_opus":0.07068784239607066,"score_gpt":0.315362962272602,"score_spread":0.24467511987653134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097284553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98793054,0.0003419419,0.002120804,0.00014493905,0.000066127075,0.00026744345,0.00017512543,0.000010169876,0.008942903],"genre_scores_gemma":[0.99445206,0.000028584327,0.004620072,0.000009017033,0.000038730646,0.000035959216,0.0000677534,0.000018798177,0.00072905305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978889,0.00008859998,0.0010670547,0.00032956386,0.00016130027,0.00046453156],"domain_scores_gemma":[0.9988924,0.000115419345,0.00042871165,0.000323009,0.000120937715,0.000119521676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043555982,0.00013640836,0.00043637544,0.00028353767,0.0001335411,0.000045751327,0.00014317795,0.00010466434,0.00013079718],"category_scores_gemma":[0.00028897225,0.00014575021,0.000071136456,0.00020049504,0.000114762915,0.00027838373,0.00021306345,0.00023594586,0.000002323875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022590413,0.00027657722,0.7992639,0.00012499435,0.000042455285,0.0000070516685,0.0019630874,0.003830861,0.00013808158,0.19413248,0.00013387365,0.00006404532],"study_design_scores_gemma":[0.0031315002,0.0010687876,0.4100247,0.00023357294,0.000021441412,0.000022828362,0.005378718,0.36508045,0.0009673012,0.21252652,0.00045467462,0.0010895095],"about_ca_topic_score_codex":0.006570676,"about_ca_topic_score_gemma":0.0006306619,"teacher_disagreement_score":0.38923922,"about_ca_system_score_codex":0.00024601122,"about_ca_system_score_gemma":0.00003778522,"threshold_uncertainty_score":0.993294},"labels":[],"label_agreement":null},{"id":"W7097320676","doi":"","title":"Explaining the Rise in Self-Employment: A Search Theoretic Approach","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Wage; Structural unemployment; Longitudinal data; Flow (mathematics); Panel Study of Income Dynamics","score_opus":0.03566832074289715,"score_gpt":0.2411661466015085,"score_spread":0.20549782585861137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097320676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7122165,0.00045173606,0.005411659,0.0008760092,0.000080486665,0.00022416773,0.000015105615,0.000049368635,0.280675],"genre_scores_gemma":[0.99693847,0.0004867509,0.00097285846,0.00027615984,0.000051975534,0.00004532202,0.0000049609534,0.00001968678,0.0012037911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986954,0.00006826912,0.00046840307,0.00034753323,0.000049233742,0.00037118155],"domain_scores_gemma":[0.9992862,0.0001241181,0.00008653475,0.000428676,0.000018023375,0.000056460987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025023527,0.0001259867,0.00023519727,0.0001422855,0.00010525893,0.00010419299,0.00034567347,0.0000681259,0.00044284988],"category_scores_gemma":[0.00006129189,0.000097617594,0.00007072031,0.0004869772,0.000057229987,0.00012675163,0.00010719143,0.00022030427,0.00013111653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011550149,0.000121628866,0.1837405,0.00000769774,0.000014072998,0.0000051231177,0.0010521972,0.0001296733,4.4462266e-7,0.814437,0.000027786544,0.00045235656],"study_design_scores_gemma":[0.0018559135,0.000092147755,0.13348217,0.000015533225,0.000006648082,0.000022916905,0.0019720977,0.2887565,0.000007681616,0.5393928,0.033685446,0.00071011914],"about_ca_topic_score_codex":0.0005983258,"about_ca_topic_score_gemma":0.000054521985,"teacher_disagreement_score":0.28862682,"about_ca_system_score_codex":0.00009704763,"about_ca_system_score_gemma":0.000014713434,"threshold_uncertainty_score":0.48488957},"labels":[],"label_agreement":null},{"id":"W7097326658","doi":"","title":"Forthcoming: American Economic Journal: Applied Economics Do Temporary-Help Jobs Improve Labor Market Outcomes for Low-Skilled Workers? Evidence from ‘Work First’","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Welfare; Job loss; Split labor market theory; Job training; Unemployment; Job market","score_opus":0.027329516883374927,"score_gpt":0.23410938126317138,"score_spread":0.20677986437979645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097326658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818243,0.0006909833,0.004749861,0.0030522766,0.0018486888,0.0010355093,0.0013499912,0.00011443527,0.0053339847],"genre_scores_gemma":[0.9812353,0.0030479243,0.010257033,0.0010495589,0.0005987642,0.0002024459,0.000056772737,0.00014788813,0.003404261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953966,0.000044878507,0.0023150698,0.0012540341,0.000072017625,0.00091738865],"domain_scores_gemma":[0.994588,0.001625788,0.0020813006,0.0011817571,0.00009434395,0.0004288108],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018349331,0.00065027864,0.0017485803,0.00034995552,0.0005968455,0.00045482095,0.0010427445,0.0002551854,0.00117689],"category_scores_gemma":[0.0004465022,0.00066846743,0.000674691,0.00031031296,0.00026522347,0.0007539934,0.00025020275,0.0004313528,0.00020726267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055403594,0.00012981353,0.9733422,0.000031824045,0.0004287572,0.0000070706856,0.00033385874,0.00046191667,0.000001898544,0.015936997,0.0070521873,0.0017194564],"study_design_scores_gemma":[0.0044002775,0.00023477925,0.8762486,0.00010039825,0.000062371575,0.000011583798,0.0005796367,0.006335626,0.000043827997,0.07145759,0.03841331,0.0021119954],"about_ca_topic_score_codex":0.0022325837,"about_ca_topic_score_gemma":0.00064559653,"teacher_disagreement_score":0.09709358,"about_ca_system_score_codex":0.00070634857,"about_ca_system_score_gemma":0.00021449653,"threshold_uncertainty_score":0.9997362},"labels":[],"label_agreement":null},{"id":"W7097338286","doi":"","title":"Investment","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage; Investment (military); Human capital theory; Labor market segmentation; Position (finance); Distribution (mathematics)","score_opus":0.029891488635668016,"score_gpt":0.21311817895369253,"score_spread":0.18322669031802452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097338286","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3320237,0.00015119596,0.022102108,0.004441992,0.00031187112,0.00007160671,0.0000867717,0.000058673682,0.6407521],"genre_scores_gemma":[0.98296994,0.000055767432,0.0007328689,0.0015663945,0.000039084665,0.0000070683295,0.0000010416277,0.000007071795,0.014620764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994488,0.0000046219548,0.00023157553,0.00017135701,0.000012138144,0.00013153265],"domain_scores_gemma":[0.99963367,0.000027648868,0.00006542027,0.00021322984,0.000009705543,0.000050328472],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003038741,0.00005317912,0.00011021068,0.000042690368,0.000021828579,0.000015761243,0.00009193279,0.0000290408,0.0020834228],"category_scores_gemma":[0.0000620963,0.000035912934,0.00004005278,0.0000611644,0.000021535614,0.0000904831,0.0000322153,0.000016992919,0.0013918534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015385687,0.00001615955,0.0391348,0.0000013524334,0.0000071022832,6.896297e-7,0.000009300007,8.787106e-8,0.0000315646,0.9590787,0.00060785876,0.0011108239],"study_design_scores_gemma":[0.00023954279,0.000013958171,0.02391961,0.0000026223963,4.031681e-7,4.3137828e-7,0.0000022627653,0.00004050222,0.00006169269,0.82127243,0.15434867,0.00009784703],"about_ca_topic_score_codex":0.00006810271,"about_ca_topic_score_gemma":0.0000115240955,"teacher_disagreement_score":0.6509462,"about_ca_system_score_codex":0.00004642605,"about_ca_system_score_gemma":0.0000044003027,"threshold_uncertainty_score":0.99938565},"labels":[],"label_agreement":null},{"id":"W7097398831","doi":"","title":"The Dis-Integrating Canadian Labor Market: The Extent of the Market Then and Now","year":2002,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Sample (material); Order (exchange); Unit (ring theory); Period (music); Real wages","score_opus":0.014361630779985892,"score_gpt":0.18646750190546973,"score_spread":0.17210587112548384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097398831","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3484905,0.0037390746,0.0001237717,0.040398102,0.00066683657,0.00052678934,0.00065396266,0.00001718041,0.60538375],"genre_scores_gemma":[0.9702712,0.0011681716,0.00007262553,0.001000441,0.000053820975,0.000018369556,9.106932e-7,0.000015872607,0.027398583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99881786,0.00008708824,0.00048065584,0.0002371917,0.000053616302,0.0003235883],"domain_scores_gemma":[0.99856377,0.00040758718,0.0002444912,0.00064880576,0.00004838905,0.00008696859],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017677587,0.00014063618,0.00020340102,0.000040783023,0.00051038415,0.00016048171,0.00052610657,0.00006099949,0.001597324],"category_scores_gemma":[0.00037459223,0.0000670621,0.000101549216,0.00024895894,0.00017910099,0.0000745172,0.00010928434,0.00018872853,0.00001562572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011111724,0.000029860183,0.20824508,0.000016414459,0.0000774455,0.0000011929865,0.0006696356,0.0000032363314,0.0000032884375,0.7654972,0.017896077,0.0075494344],"study_design_scores_gemma":[0.000305123,0.000025362773,0.58012766,0.000023240156,0.000011965397,0.0000046485075,0.0007672164,0.049221497,0.000008492569,0.07215541,0.2970854,0.00026395798],"about_ca_topic_score_codex":0.03337341,"about_ca_topic_score_gemma":0.16467546,"teacher_disagreement_score":0.6933418,"about_ca_system_score_codex":0.00007591679,"about_ca_system_score_gemma":0.000024273571,"threshold_uncertainty_score":0.9993153},"labels":[],"label_agreement":null},{"id":"W7097549858","doi":"","title":"Repeated Moral Hazard with Worker Mobility via Directed Onthe-Job Search, Univeristy of Toronto Working Paper","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Moral hazard; Incentive; Wage; General equilibrium theory; Dynamic inconsistency; Hazard; Equilibrium solution","score_opus":0.020894173480095004,"score_gpt":0.21673703924380516,"score_spread":0.19584286576371016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097549858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83311474,0.0006307554,0.0022932575,0.00019152596,0.00009671001,0.00022968404,0.000051811607,0.00014983713,0.16324165],"genre_scores_gemma":[0.9957853,0.00020520967,0.0024456144,0.00015791884,0.000032420125,0.0000044966596,0.000019831363,0.000020726013,0.0013285129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844104,0.000047026337,0.00063137047,0.00045351553,0.00007307352,0.00035396687],"domain_scores_gemma":[0.99891615,0.000047475038,0.00018408566,0.0006400629,0.00009690151,0.00011535278],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062018645,0.0002050584,0.00051802566,0.00004726651,0.00007104742,0.000046244015,0.00023525048,0.00012359589,0.0010751314],"category_scores_gemma":[0.000031393767,0.00018461098,0.00010983025,0.0002667479,0.000081883845,0.00030448064,0.000041948097,0.00015005609,0.000009807519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006517598,0.00062188116,0.71635884,0.000042803844,0.00024783376,0.000023921668,0.0006763853,0.0004564984,0.0002896742,0.2504139,0.00022459927,0.029991888],"study_design_scores_gemma":[0.0007217275,0.00018023641,0.9649503,0.000034676545,0.000009935967,0.0000018549549,0.0000669246,0.009392397,0.000084075706,0.022125825,0.0020361969,0.0003958313],"about_ca_topic_score_codex":0.0067580044,"about_ca_topic_score_gemma":0.005633505,"teacher_disagreement_score":0.24859145,"about_ca_system_score_codex":0.00029041604,"about_ca_system_score_gemma":0.000027231734,"threshold_uncertainty_score":0.99985605},"labels":[],"label_agreement":null},{"id":"W7097602512","doi":"","title":"Dynamics of Economic Well-Being: Spells of Unemployment, 2004–2007 Household Economic Studies","year":2010,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Survey of Income and Program Participation; Unemployment; Panel Study of Income Dynamics; Panel data; Duration (music); Longitudinal data; Spell; Quarter (Canadian coin)","score_opus":0.0281967278675206,"score_gpt":0.2551502420569828,"score_spread":0.2269535141894622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097602512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85577095,0.00031505423,0.00032503626,0.00048725973,0.0019659337,0.00023127823,0.00073572184,0.0000301085,0.14013867],"genre_scores_gemma":[0.9928305,0.0007472265,0.0010541596,0.00010328969,0.00016715558,0.0000042074744,0.000029219986,0.000053208998,0.0050110174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973198,0.000018884162,0.0016819435,0.0005473523,0.00003902182,0.00039296833],"domain_scores_gemma":[0.99772346,0.00019889456,0.0010725686,0.0008478676,0.000046311336,0.000110876084],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012890947,0.00029176925,0.001018229,0.00031398295,0.000041712527,0.000034344328,0.00049821264,0.00019413848,0.002042386],"category_scores_gemma":[0.000066838504,0.0003212168,0.00027817817,0.00010433957,0.0002652909,0.00023985408,0.00018756907,0.0002482565,0.0005970752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022545068,0.00009226463,0.19394037,0.00007075047,0.00020724574,0.000001117418,0.00008203499,0.0007763896,0.000039397608,0.80383617,0.0008368351,0.00009489915],"study_design_scores_gemma":[0.0020733064,0.0002464697,0.020100566,0.00004019937,0.000058483514,0.0000072519624,0.00034138004,0.03188002,0.0023850831,0.92523706,0.016466364,0.0011638121],"about_ca_topic_score_codex":0.0010256295,"about_ca_topic_score_gemma":0.0019646734,"teacher_disagreement_score":0.17383981,"about_ca_system_score_codex":0.00028086794,"about_ca_system_score_gemma":0.00006736058,"threshold_uncertainty_score":0.999924},"labels":[],"label_agreement":null},{"id":"W7097611726","doi":"","title":"Efficiency Wages Revisited: The Internal Reference Perspective ∗ Jean-Pierre Danthine † Université deLausanne,FAME and CEPR","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficiency wage; Wage; Macro; Perspective (graphical); Rigidity (electromagnetism); Profit (economics); Productivity","score_opus":0.018210746610006386,"score_gpt":0.22374316480979117,"score_spread":0.2055324181997848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097611726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7866608,0.008012998,0.015580234,0.0062975786,0.00022587567,0.00027189413,0.0002809197,0.000083782616,0.18258594],"genre_scores_gemma":[0.99403286,0.0029970063,0.00036323493,0.00039505144,0.000050039813,0.000002380194,0.000007829734,0.000013185973,0.0021384053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988594,0.00002285383,0.0003458913,0.0004666327,0.000051304,0.0002538923],"domain_scores_gemma":[0.99914676,0.0001120832,0.00019645038,0.00037870387,0.00008483548,0.00008116687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006246548,0.0001706399,0.000282341,0.00011175587,0.00021965538,0.000118674136,0.00036595747,0.000079723366,0.000474942],"category_scores_gemma":[0.00022591357,0.00013316458,0.0000690279,0.0002750891,0.00014248095,0.00020829648,0.00019585992,0.00026795221,0.000069620204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002178378,0.000051766132,0.00575949,0.000011246237,0.000036707526,0.000016050248,0.00096257706,0.000094006566,0.0000115029125,0.99236536,0.00007875302,0.0005907695],"study_design_scores_gemma":[0.00294085,0.00045496016,0.116687305,0.00016154247,0.000050225422,0.00006540893,0.007295108,0.006546713,0.00011032017,0.830117,0.034335833,0.0012347412],"about_ca_topic_score_codex":0.00310828,"about_ca_topic_score_gemma":0.00029448644,"teacher_disagreement_score":0.2073721,"about_ca_system_score_codex":0.00020781728,"about_ca_system_score_gemma":0.00002131144,"threshold_uncertainty_score":0.54302937},"labels":[],"label_agreement":null},{"id":"W7097668003","doi":"","title":"Hour Levels and Trends in the Retail Industry","year":2012,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Retail industry; Job loss; Argument (complex analysis); Retail trade; Estimation","score_opus":0.0935540242058164,"score_gpt":0.2639925092112815,"score_spread":0.17043848500546507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097668003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85899305,0.00043212352,0.00010033395,0.0020430542,0.00011202105,0.000032403474,0.000050657534,0.000008509857,0.13822784],"genre_scores_gemma":[0.9958515,0.000020144156,0.00011312825,0.00086033926,0.000083862404,0.0000059868753,0.0000037389614,0.000006603597,0.0030547017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993349,0.00002363707,0.00026273832,0.00013399194,0.000020364283,0.00022437467],"domain_scores_gemma":[0.999619,0.00004748717,0.00007508202,0.00020726696,0.000005256716,0.00004588292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015139943,0.00007455532,0.00014715022,0.00011252085,0.000037411777,0.000048260412,0.0001241923,0.00013284576,0.00090746785],"category_scores_gemma":[0.0000471148,0.00005709751,0.000028921697,0.00026332837,0.000025726966,0.00019578726,0.000038306818,0.0002400224,0.000029132838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013075373,0.000029748488,0.5360855,0.0000019685524,0.0000039689676,5.253267e-7,0.00031856837,4.1481627e-7,5.3206884e-7,0.45932505,0.00019101589,0.0040414394],"study_design_scores_gemma":[0.00018456574,0.000008729419,0.9570296,0.0000015179547,0.0000011889795,0.0000028360403,0.0001345155,0.00018945041,0.0000018379549,0.025475133,0.016866444,0.00010422287],"about_ca_topic_score_codex":0.00027515562,"about_ca_topic_score_gemma":0.00006952072,"teacher_disagreement_score":0.4338499,"about_ca_system_score_codex":0.000021745544,"about_ca_system_score_gemma":0.0000022992663,"threshold_uncertainty_score":0.99361366},"labels":[],"label_agreement":null},{"id":"W7097691617","doi":"","title":"of Workers ’ Earnings in Canada The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers ’ Earnings in Canada","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Economic inequality; Instability; Economic stability","score_opus":0.01253535750701432,"score_gpt":0.2140852577486075,"score_spread":0.2015499002415932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097691617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949057,0.000080473204,0.000013128281,0.00087893516,0.00006746521,0.0003131978,0.00075986737,0.0000025155205,0.0029786874],"genre_scores_gemma":[0.9997833,0.000021778947,0.000011318268,0.00007721856,0.000006797512,0.000013734837,0.000020885604,0.000012214842,0.00005276862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782616,0.0001384686,0.0013432298,0.000308112,0.00007432396,0.00030970218],"domain_scores_gemma":[0.9976604,0.0008806633,0.0008986762,0.00045639943,0.000051463503,0.00005240522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001772836,0.00018327138,0.0006123426,0.00012258887,0.0000518924,0.000014182658,0.00029390102,0.00005795986,0.00035355779],"category_scores_gemma":[0.00028990922,0.00013511762,0.00009631729,0.00046938332,0.00018164217,0.00008945628,0.00007653277,0.00030608007,4.6971468e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005452418,0.00004880809,0.9794813,0.000032072923,0.00003599698,0.0000014136555,0.00012011259,0.008012295,0.000005238858,0.011988282,0.00015963994,0.000060353566],"study_design_scores_gemma":[0.0004309162,0.000029874722,0.99219555,0.000029739816,0.0000030623103,4.077284e-7,0.00074911426,0.002208781,0.00002968264,0.004141617,0.000039243932,0.00014198519],"about_ca_topic_score_codex":0.99985766,"about_ca_topic_score_gemma":0.99976516,"teacher_disagreement_score":0.012714312,"about_ca_system_score_codex":0.0015821643,"about_ca_system_score_gemma":0.0017646004,"threshold_uncertainty_score":0.5509936},"labels":[],"label_agreement":null},{"id":"W7097700772","doi":"","title":"A MACROECONOMIC STUDY OF THE COSTS, CONSEQUENCES AND POLICY IMPLICATIONS OF SECTORAL LABOUR REALLOCATION","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Matching (statistics); Commodity; Process (computing); Job loss; Exchange rate; Aggregate (composite); Unemployment","score_opus":0.03597230382172102,"score_gpt":0.26011713184039653,"score_spread":0.22414482801867552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097700772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920762,0.00009126521,0.000091787806,0.0014742465,0.00004714879,0.0002681066,0.00024574835,0.0000074456298,0.005698051],"genre_scores_gemma":[0.9992661,0.00017622297,0.00008608416,0.00012031936,0.00001757488,0.000014805124,0.0000027086562,0.0000060762486,0.0003100912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991819,0.000026633552,0.00050373795,0.00017520599,0.000018005205,0.000094519484],"domain_scores_gemma":[0.9991644,0.000046985257,0.0003781139,0.0003276912,0.00005481662,0.000028001434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028863037,0.000068590554,0.00022424795,0.000094977346,0.00008305952,0.000009165902,0.00017279349,0.000034317025,0.00004515738],"category_scores_gemma":[0.00008302334,0.000058063393,0.000035855122,0.00024623566,0.00021415977,0.00007383641,0.000061240746,0.000047104884,0.000002419221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037370212,0.00008155316,0.5247035,0.0000068647582,0.00001630698,6.2204904e-8,0.00028087027,0.000007474708,0.00006773768,0.47471672,0.000012203522,0.000102971484],"study_design_scores_gemma":[0.0003265919,0.000056459747,0.93565494,0.0000026337325,0.000002606059,0.0000039782367,0.00020028379,0.00009881654,0.000084322826,0.06337109,0.00013434689,0.00006392064],"about_ca_topic_score_codex":0.023152119,"about_ca_topic_score_gemma":0.0023244119,"teacher_disagreement_score":0.41134563,"about_ca_system_score_codex":0.00006375283,"about_ca_system_score_gemma":0.000061849554,"threshold_uncertainty_score":0.9833528},"labels":[],"label_agreement":null},{"id":"W7097877784","doi":"","title":"Migration and Job Search: Evidence from Canada1","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Human capital; Hazard; Search theory; Survey of Income and Program Participation; Survey data collection","score_opus":0.08877782981626607,"score_gpt":0.2385909354277375,"score_spread":0.14981310561147143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097877784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883428,0.0012265223,0.0023951174,0.0016704771,0.00010950527,0.000065516215,0.000092479575,0.000019172576,0.006078375],"genre_scores_gemma":[0.99541664,0.0013649698,0.0010643472,0.00028311808,0.000051460673,0.00000359146,0.0000093956005,0.000007064042,0.0017993987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993064,0.000014033003,0.00025702015,0.00025122295,0.000031221338,0.00014009963],"domain_scores_gemma":[0.9995491,0.00009997895,0.00005639351,0.00019198455,0.000025004758,0.00007752174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031583305,0.00007077323,0.00015454517,0.000051531326,0.00009658981,0.000035960653,0.00008773342,0.000045352073,0.00033683088],"category_scores_gemma":[0.00011975492,0.00007370368,0.000025586605,0.00010169888,0.00004273874,0.00021655459,0.000038812555,0.00006965436,0.000047266265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059550725,0.000008255008,0.92079955,0.000004121566,0.0000104192395,0.000006890964,0.0003106156,0.000008694616,0.000025750953,0.07820496,0.00033570922,0.00027908772],"study_design_scores_gemma":[0.00014201968,0.000019150997,0.9598718,0.000008367955,0.0000013540433,0.0000028441182,0.00002425177,0.009187501,0.000048371996,0.026467979,0.004077171,0.000149166],"about_ca_topic_score_codex":0.17207739,"about_ca_topic_score_gemma":0.03597904,"teacher_disagreement_score":0.13609834,"about_ca_system_score_codex":0.00004873001,"about_ca_system_score_gemma":0.000025729847,"threshold_uncertainty_score":0.98161185},"labels":[],"label_agreement":null},{"id":"W7097912526","doi":"","title":"2001 Canadian Economics Association meeting in Montreal, the 2001 NBER summer","year":2001,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dispersion (optics); Wage dispersion; Association (psychology); Wage; Contrast (vision); Construct (python library)","score_opus":0.03068372882587721,"score_gpt":0.21911608796292423,"score_spread":0.188432359137047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097912526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6222174,0.00017145948,0.000045724162,0.0076726475,0.00030136429,0.0001499015,0.000113610135,0.0000132610885,0.36931464],"genre_scores_gemma":[0.9788948,0.0017112066,0.0001131267,0.0023495054,0.00013653658,0.000019958934,0.000028164164,0.000021590224,0.016725095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826664,0.000040522857,0.0006505682,0.00032694032,0.000027185624,0.00068812934],"domain_scores_gemma":[0.9990159,0.00016697848,0.00029095417,0.00032730523,0.000038967974,0.0001598716],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027298538,0.00014567749,0.00029219524,0.00020214905,0.00013848924,0.00014119745,0.00025682498,0.00015715939,0.0016614712],"category_scores_gemma":[0.00034815786,0.00013787771,0.00008566926,0.000316356,0.000017287264,0.0002142631,0.000036421483,0.00019259758,0.00042730334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005268355,0.000029808409,0.92897177,0.0000019316703,0.000027536997,0.000004704402,0.00010296093,0.00047082533,3.452509e-7,0.06158179,0.008170463,0.0006325887],"study_design_scores_gemma":[0.00067677465,0.000013526601,0.6286356,0.0000075265393,0.0000057511,0.0000024381643,0.0001361787,0.033650264,0.000001755994,0.11289909,0.22357115,0.00039998765],"about_ca_topic_score_codex":0.7721801,"about_ca_topic_score_gemma":0.96254015,"teacher_disagreement_score":0.3566774,"about_ca_system_score_codex":0.0011486782,"about_ca_system_score_gemma":0.000070025904,"threshold_uncertainty_score":0.9992511},"labels":[],"label_agreement":null},{"id":"W7097976215","doi":"","title":"Changes in the employment contract? Evidence from a quasi-experiment","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Industrial relations; Labor contract; Contrast (vision); Labor relations; Productivity; Employment contract; Temporary work","score_opus":0.05235580136268089,"score_gpt":0.2670405465932945,"score_spread":0.21468474523061362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097976215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732854,0.0020695073,0.00023804716,0.0077204946,0.0001230072,0.0002604658,0.00009159712,0.0000217424,0.01618978],"genre_scores_gemma":[0.9948289,0.0013677538,0.0002068477,0.0024734712,0.00008458382,0.000080562866,0.000009345817,0.0000096495505,0.00093892857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989169,0.000050507548,0.00040718899,0.00033164647,0.00005301382,0.00024071733],"domain_scores_gemma":[0.999197,0.0002325579,0.00009354051,0.0004271177,0.000009895008,0.000039880284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010243269,0.00012275312,0.0002512736,0.00005058432,0.00005057436,0.00010396776,0.00032967018,0.000057667658,0.0073705725],"category_scores_gemma":[0.000055205783,0.00009533134,0.000055206387,0.00015825036,0.000027536831,0.0001353309,0.000024360404,0.00011098174,0.00036151792],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001765158,0.0014558337,0.4226974,0.00001600009,0.0000922963,0.000048204914,0.010955313,0.00006405526,0.00013389805,0.52380615,0.0008026051,0.0397517],"study_design_scores_gemma":[0.0014365207,0.00039698448,0.74976176,0.00009892812,0.000009453374,0.0000026955997,0.00059360993,0.008574852,0.00032126077,0.13634595,0.10166684,0.00079111586],"about_ca_topic_score_codex":0.013757199,"about_ca_topic_score_gemma":0.00469945,"teacher_disagreement_score":0.38746023,"about_ca_system_score_codex":0.000082433355,"about_ca_system_score_gemma":0.000008891457,"threshold_uncertainty_score":0.99353683},"labels":[],"label_agreement":null},{"id":"W7097997848","doi":"","title":"Specific Human Capital ∗","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Portfolio; Wage; Turnover; Productivity; Capital (architecture); Displacement (psychology)","score_opus":0.0688980741988972,"score_gpt":0.21934791325341835,"score_spread":0.15044983905452114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097997848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.539352,0.00011923886,0.0013642326,0.0000314784,0.00018297089,0.00003987931,0.000029544162,0.000033142645,0.4588475],"genre_scores_gemma":[0.9944212,0.000036347923,0.0011654674,0.00013160266,0.000066678724,0.000004786116,0.000008473412,0.000013737119,0.0041517215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991999,0.000005662544,0.000347766,0.0002457419,0.000015758671,0.00018513747],"domain_scores_gemma":[0.99951756,0.0000073592582,0.00009961322,0.00030010924,0.000015539817,0.00005979052],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033654325,0.000085384825,0.00017069181,0.00007617304,0.00006402271,0.00002996998,0.00017038963,0.000051231385,0.00844912],"category_scores_gemma":[0.000009639387,0.00009057875,0.00007082587,0.00009553585,0.000034585573,0.00011886604,0.000043745782,0.000070184564,0.0012295891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022257734,0.000055494296,0.06149475,0.0000025583288,0.000009323756,0.0000036740112,0.00029178488,7.888787e-8,0.000017646937,0.93777543,0.00020835115,0.00013865315],"study_design_scores_gemma":[0.00019093507,0.000031619064,0.14644407,0.0000011997354,7.1439706e-7,0.0000011407502,0.000040124516,0.000022309217,0.000085619744,0.8404334,0.012566103,0.00018275729],"about_ca_topic_score_codex":0.0006003937,"about_ca_topic_score_gemma":0.000037318205,"teacher_disagreement_score":0.45506915,"about_ca_system_score_codex":0.000029719513,"about_ca_system_score_gemma":0.0000026775283,"threshold_uncertainty_score":0.9995481},"labels":[],"label_agreement":null},{"id":"W7097998832","doi":"","title":"1Earnings and Employment Probabilities","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Ceteris paribus; Cohort; Wage; Cohort effect; Flexibility (engineering)","score_opus":0.01891997012118576,"score_gpt":0.20474439843099798,"score_spread":0.18582442830981222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097998832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8154107,0.0002842072,0.00013302344,0.0007828259,0.000037338912,0.00007768534,0.000025383206,0.000036481037,0.18321238],"genre_scores_gemma":[0.96440214,0.00022967231,0.0006453368,0.00038387274,0.000029262543,0.00001156019,0.0000036453118,0.000008625106,0.034285888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993449,0.000007557024,0.00026014587,0.00022436149,0.000015634017,0.00014738704],"domain_scores_gemma":[0.99972296,0.000023876335,0.000043851374,0.00015334119,0.000008712153,0.000047241767],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036231554,0.00007261354,0.00015356235,0.000033687138,0.00005348243,0.000060230763,0.000059982212,0.000035942376,0.0058540036],"category_scores_gemma":[0.000025584208,0.00007254724,0.000029788735,0.0000624329,0.000041792377,0.000104332066,0.000020827485,0.000052987427,0.00023083635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006903839,0.000030376494,0.10398153,0.000010873536,0.0000112482085,8.1183504e-7,0.0002636207,0.000008016213,0.0000010911102,0.8858707,0.00015635567,0.009658447],"study_design_scores_gemma":[0.00031888546,0.00006005222,0.11880656,0.0000047099265,0.0000016869375,0.0000027481435,0.000039478935,0.0012980332,0.0000067965957,0.6226628,0.256566,0.0002322987],"about_ca_topic_score_codex":0.00055114843,"about_ca_topic_score_gemma":0.000036484726,"teacher_disagreement_score":0.26320794,"about_ca_system_score_codex":0.00002287424,"about_ca_system_score_gemma":0.0000037448194,"threshold_uncertainty_score":0.9950548},"labels":[],"label_agreement":null},{"id":"W7098047934","doi":"","title":"TITLE: Three Essays on Firm-Worker separations","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Job loss; Displaced workers; Hazard; Unemployment; Turnover; Margin (machine learning)","score_opus":0.035706572674411685,"score_gpt":0.24387054685465842,"score_spread":0.20816397418024674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098047934","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018275905,0.00004383217,0.021294257,0.0015065855,0.0003059718,0.00004560734,0.00010449723,0.000031848882,0.9583915],"genre_scores_gemma":[0.97475356,0.000059987196,0.00027929648,0.0002724912,0.0000742168,0.000006013389,0.000003457571,0.000008329177,0.024542646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960935,0.0000025910576,0.0001470489,0.00013430443,0.000014307129,0.000092407885],"domain_scores_gemma":[0.99967915,0.00004048161,0.00004361722,0.00019892011,0.00001083811,0.00002700598],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015285914,0.00004837726,0.00008275106,0.000037239508,0.000030112677,0.000017763541,0.000070598195,0.000038988554,0.00943927],"category_scores_gemma":[0.000039261668,0.00003462206,0.000035975972,0.00006279865,0.000013698588,0.00004554896,0.00001575626,0.000028727798,0.0072140996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018978242,0.000016825054,0.009689678,7.947267e-7,0.0000070889228,4.4462126e-7,0.000004055398,5.7675635e-7,0.000002344965,0.96443546,0.020900628,0.0049402346],"study_design_scores_gemma":[0.0001862679,0.000019837848,0.024272924,0.000005853229,0.00000115595,3.1169756e-7,0.000001250634,0.0008471671,0.000010092139,0.50347793,0.47104648,0.00013074777],"about_ca_topic_score_codex":0.000033592325,"about_ca_topic_score_gemma":0.000059492813,"teacher_disagreement_score":0.95647764,"about_ca_system_score_codex":0.00002661223,"about_ca_system_score_gemma":0.0000055942196,"threshold_uncertainty_score":0.9935589},"labels":[],"label_agreement":null},{"id":"W7098081069","doi":"","title":"Is There Downward Nominal Wage Rigidity in the Canadian","year":2003,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rigidity (electromagnetism); Wage; Phillips curve; Unemployment; Inflation (cosmology); Efficiency wage","score_opus":0.04009120733817529,"score_gpt":0.2302123716831862,"score_spread":0.19012116434501092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098081069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5514931,0.00021340174,0.000106418556,0.0018077567,0.00015104245,0.00011390127,0.00015807083,0.000006491171,0.44594982],"genre_scores_gemma":[0.9952998,0.000043464996,0.00020797047,0.0028903035,0.000028397715,0.000012392154,0.0000065095305,0.000009393955,0.0015017431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99897635,0.000047296136,0.00034962367,0.00026290232,0.000032497766,0.00033133154],"domain_scores_gemma":[0.9993704,0.000042242245,0.00008223564,0.00039867932,0.000017116043,0.00008931132],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017623805,0.00011234779,0.00019145211,0.00011738619,0.00013580978,0.00012755014,0.00027639928,0.00009432643,0.002607572],"category_scores_gemma":[0.00009946117,0.00008971472,0.00007557349,0.00026089567,0.000036054338,0.00009882981,0.000011899024,0.00018690068,0.0004031829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013417998,0.000024274083,0.23135312,0.0000031603245,0.000004869887,0.000008940798,0.00028502452,0.0000027790202,2.2072392e-7,0.76737124,0.00080428226,0.00014073255],"study_design_scores_gemma":[0.00029089965,0.000016572483,0.38249895,0.0000027161027,0.0000017350392,0.000003681098,0.00014456274,0.00040354338,0.0000064863916,0.2567878,0.3596261,0.00021695558],"about_ca_topic_score_codex":0.3539377,"about_ca_topic_score_gemma":0.63903,"teacher_disagreement_score":0.51058346,"about_ca_system_score_codex":0.00018383426,"about_ca_system_score_gemma":0.000078941535,"threshold_uncertainty_score":0.9983042},"labels":[],"label_agreement":null},{"id":"W7098135891","doi":"","title":"TÁRKI Social Report Reprint Series No 14.","year":2016,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reprint; Earnings; Wage; Witness; Period (music); Labour supply; Quarter (Canadian coin); Arrow","score_opus":0.027322969506340052,"score_gpt":0.22895305452901876,"score_spread":0.2016300850226787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098135891","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47125107,0.000040088642,0.008268828,0.007867519,0.0010220036,0.000120947865,0.00014300982,0.000120267214,0.5111663],"genre_scores_gemma":[0.9268966,0.0000707109,0.00087718444,0.0002642849,0.00026152778,0.000014036808,0.000006364992,0.000017258024,0.07159204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986354,0.000012118799,0.0006485852,0.00042561162,0.000035108256,0.00024316741],"domain_scores_gemma":[0.9991177,0.000033320335,0.00029016688,0.0004212666,0.000080365404,0.000057197343],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010275749,0.00011541181,0.00027679186,0.000056781835,0.00009922815,0.000051764844,0.00015981187,0.00009529816,0.0026082778],"category_scores_gemma":[0.00040567052,0.00009028203,0.00011900973,0.00009860984,0.00006318879,0.00023793167,0.00011119519,0.00006064735,0.0013867834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018214168,0.00003227385,0.07633955,0.000007543485,0.000025364992,0.00003128228,0.000043371547,1.2301709e-7,0.00006776905,0.92056406,0.0017493763,0.0011210693],"study_design_scores_gemma":[0.00038959345,0.000029413333,0.113378316,0.0000060506018,0.0000022617728,0.000024728839,0.000013795201,0.00002801152,0.00011210641,0.4692618,0.41643012,0.00032380052],"about_ca_topic_score_codex":0.00017529317,"about_ca_topic_score_gemma":0.000045720095,"teacher_disagreement_score":0.4556455,"about_ca_system_score_codex":0.00008824286,"about_ca_system_score_gemma":0.000018652634,"threshold_uncertainty_score":0.9993908},"labels":[],"label_agreement":null},{"id":"W7099230976","doi":"","title":"Manufacturing","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Data collection; Population; Work (physics); Market research","score_opus":0.0224589054845864,"score_gpt":0.2162688519238124,"score_spread":0.193809946439226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099230976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49849904,0.000118160715,0.008940955,0.0016130168,0.00014446318,0.000044162494,0.000015495767,0.000059543727,0.49056515],"genre_scores_gemma":[0.99386275,0.00002714764,0.0013922622,0.0013165422,0.000049155435,9.223297e-7,0.0000033259903,0.000004099584,0.0033438145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994494,0.0000027679162,0.00022810046,0.00016492385,0.000011745905,0.00014309605],"domain_scores_gemma":[0.9997007,0.000009500861,0.00006047165,0.00018392412,0.0000049626706,0.00004043166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024570082,0.00005875929,0.00012525609,0.00005155934,0.00003528706,0.000039717073,0.00009988675,0.00003352291,0.0008202989],"category_scores_gemma":[0.000017673132,0.000060899092,0.00004675757,0.000046761234,0.0000064290507,0.000096456424,0.000011685881,0.000051593677,0.0003997101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019823506,0.000021206351,0.0029795459,0.0000013458354,0.000003537037,0.000001787644,0.000017947272,0.000006502202,0.0000058731566,0.99156713,0.00017201813,0.0052211154],"study_design_scores_gemma":[0.00014445175,0.000021888933,0.111036606,0.0000012541012,4.92345e-7,0.0000010371285,0.0000048249735,0.00068173703,0.0002234427,0.8549878,0.03276719,0.00012929153],"about_ca_topic_score_codex":0.000049605365,"about_ca_topic_score_gemma":0.000004039559,"teacher_disagreement_score":0.49536368,"about_ca_system_score_codex":0.00002427793,"about_ca_system_score_gemma":0.000002020771,"threshold_uncertainty_score":0.89816976},"labels":[],"label_agreement":null},{"id":"W7100091572","doi":"","title":"Field of Study Choice in Canada","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Work (physics); Politics; Research center; Center (category theory)","score_opus":0.018794903804297627,"score_gpt":0.2262900349580561,"score_spread":0.20749513115375848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100091572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97746223,0.00005404694,0.00024563825,0.00040790124,0.00013858598,0.0001055373,0.000024279334,0.0000032972687,0.021558508],"genre_scores_gemma":[0.9994685,0.0000066688913,0.00009089148,0.00028716822,0.000010305024,0.000004250869,9.800267e-7,0.0000040673885,0.00012715142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993288,0.0000052294995,0.0003914719,0.00014105301,0.000021731781,0.00011170938],"domain_scores_gemma":[0.9996298,0.00005660764,0.00009265412,0.00018393809,0.000011670925,0.000025310617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002498449,0.00005107041,0.0001921487,0.00005536535,0.000009936844,0.000005920095,0.00011658883,0.000018826297,0.00021955342],"category_scores_gemma":[0.0001121577,0.000054819753,0.00001895696,0.00017282664,0.0000039734246,0.000046662924,0.000028068655,0.000059927683,0.0000052941255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038727117,0.00009694325,0.8778217,0.000005138119,0.0000069775497,0.0000036272484,0.00006167233,0.000147127,6.9016176e-7,0.12168828,0.000015036407,0.00014897334],"study_design_scores_gemma":[0.0008516426,0.00008522945,0.9496562,0.0000042067195,8.654378e-7,1.7639611e-7,0.00019524708,0.00016601483,0.000036346675,0.048176117,0.0007122525,0.00011572978],"about_ca_topic_score_codex":0.99504095,"about_ca_topic_score_gemma":0.9963043,"teacher_disagreement_score":0.07351216,"about_ca_system_score_codex":0.00021059417,"about_ca_system_score_gemma":0.00012509806,"threshold_uncertainty_score":0.2403956},"labels":[],"label_agreement":null},{"id":"W7100120423","doi":"","title":"Stable Wage Distribution in Japan, 1982-2002: A Counter Example for SBTC?”RIETI 08-E","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Netting; Wage; Distribution (mathematics); Balance (ability); Labour supply; Supply and demand; Real wages","score_opus":0.04631343907621894,"score_gpt":0.22595637275762134,"score_spread":0.1796429336814024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100120423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93240607,0.0002944206,0.046434864,0.00042432977,0.00033762708,0.00044876325,0.0034006552,0.000050310497,0.01620294],"genre_scores_gemma":[0.9919743,0.00018668307,0.00046500747,0.00036734127,0.000079295416,0.00008907651,0.00046055485,0.000024326806,0.0063534407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983518,0.000015367023,0.000687495,0.00045513958,0.000043637778,0.000446524],"domain_scores_gemma":[0.99924684,0.00011611827,0.00013632246,0.00035944564,0.000063125386,0.00007812671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821884,0.00016922492,0.00039654513,0.00009556958,0.00013098065,0.00005454224,0.00018377509,0.00012873545,0.0008997769],"category_scores_gemma":[0.00015306854,0.00018330786,0.000115387025,0.00028059422,0.00005336338,0.00026843266,0.00005369876,0.00012175449,0.00017099321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010911625,0.0003294125,0.20101145,0.00005438345,0.00003654513,0.000007669012,0.00042271134,0.00019617609,0.000027025153,0.7889765,0.00855807,0.00027097279],"study_design_scores_gemma":[0.0036424117,0.00019748812,0.23259719,0.00002284942,0.000007539074,0.00001047878,0.00014246379,0.053562023,0.0001135527,0.091514476,0.617241,0.00094853214],"about_ca_topic_score_codex":0.005551249,"about_ca_topic_score_gemma":0.001109395,"teacher_disagreement_score":0.697462,"about_ca_system_score_codex":0.00023743579,"about_ca_system_score_gemma":0.0000352205,"threshold_uncertainty_score":0.9851926},"labels":[],"label_agreement":null},{"id":"W7100201806","doi":"","title":"WAGE DYNAMICS IN EUROPE FINAL REPORT OF THE WAGE DYNAMICS NETWORK (WDN) Executive Summary","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Quarter (Canadian coin); Inflation (cosmology); Collective bargaining; Dynamics (music); Wage bargaining; Efficiency wage","score_opus":0.02039301880311107,"score_gpt":0.22188559187533843,"score_spread":0.20149257307222737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100201806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6057496,0.00034794072,0.003903604,0.002228133,0.0007572794,0.00040123618,0.00041906847,0.000045736902,0.3861474],"genre_scores_gemma":[0.98526245,0.00027229916,0.0007424003,0.00066589075,0.00008945547,0.0000062344766,0.00012901914,0.000030110783,0.012802147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99726415,0.00007880406,0.0014630714,0.00057498674,0.00009496985,0.00052404],"domain_scores_gemma":[0.99793714,0.00011454705,0.00079391495,0.0009551086,0.00012083748,0.000078470846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018246208,0.0002718886,0.00064129103,0.00014076736,0.0001065285,0.000057329144,0.0005975124,0.00017799158,0.00007364011],"category_scores_gemma":[0.00036829797,0.0002399779,0.00019594468,0.0013101099,0.00010765271,0.00020610909,0.00020505863,0.00041491984,0.000015622538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003489572,0.00014924599,0.2870071,0.0000111671525,0.000022835144,0.00009567527,0.000053691663,0.0007415467,0.0000012556384,0.7102487,0.0007254932,0.0009084237],"study_design_scores_gemma":[0.000809833,0.00011894974,0.6098882,0.00007778273,0.0000138379955,0.00004173316,0.00010921089,0.15365848,0.000007318682,0.22839707,0.0062659145,0.00061166886],"about_ca_topic_score_codex":0.00089316396,"about_ca_topic_score_gemma":0.0031404563,"teacher_disagreement_score":0.4818516,"about_ca_system_score_codex":0.00045932646,"about_ca_system_score_gemma":0.000072251314,"threshold_uncertainty_score":0.9786015},"labels":[],"label_agreement":null},{"id":"W7100255804","doi":"","title":"Microfoundations of Rising Experience Premia","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microfoundations; Wage inequality; Wage; Real wages; Inequality; Efficiency wage; Empirical evidence","score_opus":0.07226162873109013,"score_gpt":0.24616691124262163,"score_spread":0.1739052825115315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100255804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7631072,0.00008418148,0.019522185,0.000024582167,0.0001523902,0.000050376646,0.00003353977,0.000016005813,0.21700956],"genre_scores_gemma":[0.9918901,0.000032068423,0.007114168,0.00006076426,0.000012436615,0.0000049331293,0.000003390198,0.0000066535713,0.0008754968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993016,0.0000060249213,0.00039694994,0.0001655782,0.000014148648,0.000115706505],"domain_scores_gemma":[0.99949574,0.000017776985,0.00017959026,0.0002442939,0.000031081654,0.000031483905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002562444,0.000057211335,0.00014934616,0.000066828245,0.00003965349,0.000013354144,0.00014382089,0.00003744583,0.0017900866],"category_scores_gemma":[0.00006412011,0.00006167842,0.000047350462,0.00014390284,0.000051979398,0.00015191958,0.0000397736,0.000040675724,0.00006863265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040719665,0.00004776348,0.1825338,0.000006995808,0.000008743785,3.4657006e-7,0.0015209434,5.8211e-7,0.0001491026,0.8154163,0.00002355479,0.0002878038],"study_design_scores_gemma":[0.00039387992,0.00005150295,0.40058732,0.000014419532,0.000004447488,0.0000022445488,0.00048029967,0.0012682038,0.0043324917,0.5835135,0.008982734,0.00036895127],"about_ca_topic_score_codex":0.0010198825,"about_ca_topic_score_gemma":0.000028243929,"teacher_disagreement_score":0.23190276,"about_ca_system_score_codex":0.000022411668,"about_ca_system_score_gemma":0.000008160252,"threshold_uncertainty_score":0.99912244},"labels":[],"label_agreement":null},{"id":"W7100390068","doi":"","title":"Knowledge-based Economy Relative Wage Patterns among the Highly Educated in a Knowledge-based Economy","year":2004,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Information economy; Productivity; Post-industrial economy; Unemployment","score_opus":0.022089952803930404,"score_gpt":0.2374251809360746,"score_spread":0.21533522813214417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100390068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74345833,0.0005504075,0.012575512,0.0029257073,0.00052866136,0.000762547,0.00016565512,0.00010299211,0.2389302],"genre_scores_gemma":[0.9961248,0.000019191906,0.00031357785,0.0008581593,0.00015075218,0.00025212718,0.00010268533,0.0000705954,0.0021081236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968053,0.00012402753,0.0013887836,0.00094120484,0.000029172958,0.000711514],"domain_scores_gemma":[0.9977303,0.00047012905,0.00054278143,0.00093682006,0.00011860565,0.00020132642],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016896768,0.0004680107,0.0007553403,0.00056138745,0.0002178319,0.00025484563,0.0006946943,0.0002691531,0.00070939003],"category_scores_gemma":[0.00014331477,0.00042275444,0.00032041615,0.00073427963,0.00021275178,0.00055640226,0.00011582841,0.0005497759,0.00080542464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035280227,0.0007817085,0.32533973,0.00007001835,0.000073281124,0.000008084069,0.0007298323,0.001870536,0.0000010632532,0.6705748,0.000117498916,0.0003981744],"study_design_scores_gemma":[0.009279959,0.00027206118,0.48377067,0.00023740956,0.000039755298,0.000002146857,0.0004349786,0.06771783,0.0003870672,0.38333067,0.05244458,0.002082863],"about_ca_topic_score_codex":0.002741905,"about_ca_topic_score_gemma":0.0053359163,"teacher_disagreement_score":0.2872441,"about_ca_system_score_codex":0.0009850269,"about_ca_system_score_gemma":0.0004337281,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W7100394509","doi":"","title":"Discussion","year":2015,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Flexibility (engineering); Inflation (cosmology); Work (physics); Efficiency wage; Human settlement; Compensation (psychology); Compensating differential","score_opus":0.05650194590366382,"score_gpt":0.24244759701425506,"score_spread":0.18594565111059125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100394509","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22321548,0.0002147423,0.021178538,0.0049003237,0.0007196152,0.000081977625,0.000050795632,0.000081978425,0.74955654],"genre_scores_gemma":[0.98572147,0.00000849714,0.0010460394,0.0003360679,0.00005648276,0.0000032911194,0.000007127931,0.0000072518783,0.012813762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994855,0.000006015499,0.00022093143,0.00015359865,0.000017756163,0.000116214236],"domain_scores_gemma":[0.9996253,0.0000067148285,0.00006246931,0.00018925624,0.000017657007,0.00009857368],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005464698,0.00005183375,0.00012005271,0.000042563286,0.000020480706,0.000032766002,0.00009445237,0.000034302204,0.000358326],"category_scores_gemma":[0.00009898757,0.00003556768,0.000034386994,0.00010105153,0.000012962747,0.000109735825,0.00004230994,0.00004155256,0.0008597891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037867178,0.000023670791,0.053398367,0.0000016148111,0.0000037322218,0.0000010981315,0.00007817834,0.0000059491263,0.0000010633073,0.9440292,0.0017482562,0.0007050504],"study_design_scores_gemma":[0.00028710134,0.000021391243,0.009250096,0.0000013679461,5.379639e-7,8.150436e-7,0.000055338474,0.0021080056,0.0000067341725,0.81517404,0.17297421,0.000120326375],"about_ca_topic_score_codex":0.0001488289,"about_ca_topic_score_gemma":0.00001561273,"teacher_disagreement_score":0.762506,"about_ca_system_score_codex":0.000039075538,"about_ca_system_score_gemma":0.0000082625575,"threshold_uncertainty_score":0.99991816},"labels":[],"label_agreement":null},{"id":"W7100403357","doi":"","title":"Downward Nominal Wage Rigidity: A Critical Assessment and some new evidence for Canada. 1","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Variety (cybernetics); Real wages; Unemployment; Efficiency wage","score_opus":0.07056131547224608,"score_gpt":0.3148398449919511,"score_spread":0.24427852951970502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100403357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485476,0.0019138516,0.011548091,0.01908728,0.0005690191,0.00047874352,0.0008144605,0.000045706616,0.016995233],"genre_scores_gemma":[0.98681676,0.0003138599,0.0060121357,0.0017878751,0.00021763207,0.00002598919,0.000010855032,0.000015483376,0.004799392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986974,0.000013677206,0.0004678869,0.00043365147,0.000049455426,0.0003379094],"domain_scores_gemma":[0.9990684,0.000354456,0.00006471468,0.00026714464,0.000029491368,0.00021580856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006478554,0.00014416441,0.00032787793,0.000042825362,0.000119104436,0.00013467672,0.0001558893,0.00006647822,0.0019056178],"category_scores_gemma":[0.00022195905,0.0001500697,0.00005487985,0.00007709659,0.00004482495,0.00033387504,0.000037035825,0.000105741885,0.000018827504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041639276,0.000040155977,0.015849115,0.000046063724,0.000019532476,0.000006817049,0.000025787589,0.000008782701,0.000004751435,0.9678712,0.005521021,0.010565152],"study_design_scores_gemma":[0.0012585248,0.00019877682,0.1891855,0.000054635195,0.000027494383,0.000010877303,0.0000347215,0.018808302,0.000014296989,0.5484838,0.24114385,0.00077921525],"about_ca_topic_score_codex":0.3069828,"about_ca_topic_score_gemma":0.10986052,"teacher_disagreement_score":0.41938737,"about_ca_system_score_codex":0.00022873614,"about_ca_system_score_gemma":0.0003332503,"threshold_uncertainty_score":0.99900675},"labels":[],"label_agreement":null},{"id":"W7100428669","doi":"","title":"Is working for a start-up worth it? Evidence from the semiconductor industry’. Working Paper","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Charter; Quarter (Canadian coin); Sample (material); Variance (accounting); Work (physics)","score_opus":0.1152322209391111,"score_gpt":0.2670447646437333,"score_spread":0.15181254370462216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100428669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697408,0.0029050375,0.0040797023,0.011893416,0.0011986054,0.00050406705,0.00035380112,0.000068339185,0.00925622],"genre_scores_gemma":[0.9857877,0.0001896895,0.0014111126,0.0052000317,0.0008266178,0.0000672914,0.000036615238,0.000039361956,0.006441607],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979362,0.00003216943,0.0008338584,0.0006476772,0.000071989,0.00047812102],"domain_scores_gemma":[0.99792975,0.0008807605,0.00040333235,0.000665282,0.00005243666,0.000068438014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001212527,0.00024054687,0.00038878486,0.00006354375,0.0002560558,0.00033504667,0.0005001695,0.00028579982,0.0016991841],"category_scores_gemma":[0.00026333943,0.00020033207,0.00019755343,0.00035771157,0.0000610433,0.00032675042,0.00012639807,0.00041973303,0.00006882021],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048588237,0.00004750276,0.84620535,0.000011585512,0.00007965887,0.0000018568004,0.0005714062,0.000051922943,0.00010672003,0.13392618,0.01659222,0.0023570296],"study_design_scores_gemma":[0.0010920066,0.00004325749,0.16197819,0.00034754752,0.00003675289,0.0000013403309,0.00047246064,0.005613796,0.00018443835,0.32634658,0.5029221,0.0009615289],"about_ca_topic_score_codex":0.005623821,"about_ca_topic_score_gemma":0.002126935,"teacher_disagreement_score":0.68422717,"about_ca_system_score_codex":0.00012548058,"about_ca_system_score_gemma":0.00003981331,"threshold_uncertainty_score":0.9992134},"labels":[],"label_agreement":null},{"id":"W7100558335","doi":"","title":"How Would One Extra Year of High School Affect Wages? Evidence from an Unique Policy Change,” Working paper no. 20, Canadian Labour Market and Skills Researcher Network","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Government (linguistics); Point (geometry); Public policy; Education policy; Higher education; School choice","score_opus":0.0538890966290324,"score_gpt":0.27191779614195594,"score_spread":0.21802869951292353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100558335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594995,0.0023855357,0.00031393016,0.020996267,0.00021456394,0.00060572365,0.00068497984,0.000046306348,0.015253241],"genre_scores_gemma":[0.9837636,0.0035099918,0.0031967568,0.0029252428,0.00093728653,0.000018350907,0.000038622118,0.00003448947,0.005575656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979837,0.00016564089,0.00043791937,0.0006048893,0.00009919124,0.00070866616],"domain_scores_gemma":[0.99815637,0.00022813298,0.0002322992,0.00069146324,0.00011684799,0.0005749027],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020919193,0.00023571143,0.0005349311,0.00031860816,0.0001281996,0.00031768696,0.00039234146,0.00038325222,0.0016556616],"category_scores_gemma":[0.00095701887,0.00025272905,0.0000740195,0.0006309936,0.00006909542,0.0007333821,0.000083148,0.0005267685,0.000029315235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015936227,0.00018442767,0.62000656,0.000065859116,0.00013982378,0.000031154297,0.0003275766,0.000019193385,0.00012276109,0.35800844,0.0031256282,0.017809223],"study_design_scores_gemma":[0.00035206781,0.00013971931,0.8884264,0.00017631896,0.000005809815,5.9362276e-7,0.00002279896,0.00048439714,0.000012028649,0.09798824,0.012050691,0.00034089797],"about_ca_topic_score_codex":0.34994364,"about_ca_topic_score_gemma":0.1320365,"teacher_disagreement_score":0.2684199,"about_ca_system_score_codex":0.00026886608,"about_ca_system_score_gemma":0.00014362897,"threshold_uncertainty_score":0.9999925},"labels":[],"label_agreement":null},{"id":"W7100764636","doi":"","title":"CENTRE FOR THE STUDY OF LIVING STANDARDS THE STATE OF PRIVATE SECTOR ELECTRONIC LABOUR","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Private sector; Public sector; State (computer science); Descriptive research; Economic sector; Job loss","score_opus":0.025822713564832057,"score_gpt":0.22877992627139757,"score_spread":0.2029572127065655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100764636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918356,0.00031826724,0.004745871,0.00011310058,0.00012702502,0.000658926,0.0006842537,0.000010048566,0.0015068885],"genre_scores_gemma":[0.9987414,0.00016216518,0.000083849314,0.00005550665,0.0000177457,0.000018793035,6.9249813e-7,0.000015684609,0.0009041528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989193,0.00003659085,0.0005485588,0.00018357325,0.000057383448,0.00025458293],"domain_scores_gemma":[0.99858284,0.00041540412,0.00041421314,0.0004354477,0.00013152536,0.000020563051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023919735,0.00009882419,0.00026831686,0.00004414586,0.000079001504,0.00001827966,0.00036057786,0.000023343498,0.00045441906],"category_scores_gemma":[0.00028165305,0.000060016497,0.000087512155,0.00018212976,0.000040358635,0.00006267003,0.0000847789,0.000090703164,0.0000016317674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011410658,0.0005157931,0.1808675,0.00006511567,0.00038147252,2.2933081e-7,0.008602218,0.000063443666,0.000015079249,0.8079046,0.00006930167,0.0014011365],"study_design_scores_gemma":[0.0012901966,0.0011825822,0.6730863,0.000042045336,0.00006647297,5.3275915e-7,0.0034106877,0.007705021,0.0003809421,0.2983222,0.014076679,0.00043638417],"about_ca_topic_score_codex":0.0015045607,"about_ca_topic_score_gemma":0.0015748026,"teacher_disagreement_score":0.5095824,"about_ca_system_score_codex":0.000056370507,"about_ca_system_score_gemma":0.000040582872,"threshold_uncertainty_score":0.497557},"labels":[],"label_agreement":null},{"id":"W7101025989","doi":"","title":"Online Appendix Not For Publication 1 Further Model Details 1.1 Unemployment Insurance","year":2014,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Payment; Cash; Quarter (Canadian coin); Set (abstract data type); Lump sum; Value (mathematics); Duration (music)","score_opus":0.046138242210632376,"score_gpt":0.2542310977717294,"score_spread":0.20809285556109705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101025989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47810385,0.000061594386,0.4947159,0.0076236464,0.00021788788,0.00043520666,0.0014550159,0.0000887915,0.01729811],"genre_scores_gemma":[0.98150724,0.00003573253,0.011241056,0.002359683,0.00009872497,0.00007965493,0.00029646207,0.000029943463,0.0043515256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986625,0.000012886418,0.0006036641,0.00041025694,0.00003831109,0.00027239078],"domain_scores_gemma":[0.9990134,0.00007342307,0.0002734625,0.0004582089,0.0001029311,0.00007853713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009991095,0.0001406336,0.00028980986,0.000103292274,0.00006883836,0.00009011446,0.00024779813,0.00008872911,0.00029928924],"category_scores_gemma":[0.000228582,0.00014370879,0.00010844706,0.00013531317,0.000023825327,0.00021867958,0.000045014836,0.00007212683,0.00024588912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022255485,0.00016352745,0.025631735,0.000026091404,0.000023007105,3.660188e-8,0.000060801747,0.0008242759,0.000023393332,0.96794975,0.00086402596,0.0044110897],"study_design_scores_gemma":[0.0006601328,0.000040051593,0.0132795535,0.000003612588,0.0000027393828,2.5024104e-7,0.000007235969,0.71201897,0.000048190934,0.23729348,0.036397174,0.00024863076],"about_ca_topic_score_codex":0.000091972586,"about_ca_topic_score_gemma":0.00011335611,"teacher_disagreement_score":0.73065627,"about_ca_system_score_codex":0.00006506156,"about_ca_system_score_gemma":0.000013695806,"threshold_uncertainty_score":0.58602744},"labels":[],"label_agreement":null},{"id":"W7101041268","doi":"","title":"Interaction Between Human Capital Investment and Search Intensity: Implications on Life Cycle Earnings Profiles","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Earnings; Investment (military); Capital intensity; Business cycle; Human life; Capital (architecture)","score_opus":0.038779275363997355,"score_gpt":0.26600494387874163,"score_spread":0.22722566851474427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101041268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559678,0.00003050107,0.00043313167,0.0018967708,0.000058524343,0.00018009178,0.00010799461,0.000046984307,0.041278243],"genre_scores_gemma":[0.9982428,0.000014428034,0.00019421242,0.00047735267,0.00013263861,0.000020236477,0.00014824866,0.000015168609,0.00075489434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990386,0.000016663384,0.00039466185,0.00033244365,0.000031090887,0.0001865561],"domain_scores_gemma":[0.99945575,0.000054190306,0.00013982876,0.00021815182,0.000046645575,0.00008541843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038547983,0.00011017775,0.00022367106,0.00015377841,0.0001704634,0.00010709793,0.00008617665,0.0000642887,0.00011073848],"category_scores_gemma":[0.00004805808,0.00011541081,0.00004475658,0.00011644299,0.000053330234,0.00018157571,0.00007499116,0.00016527832,0.000081117316],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003458458,0.000044884295,0.40487975,0.0000072613893,0.000015250218,2.6738653e-7,0.0000775929,0.000019997071,0.000036349244,0.5946617,0.00011517164,0.0001383213],"study_design_scores_gemma":[0.00018698702,0.00006864043,0.84841686,0.000005720835,0.0000033181643,7.2156257e-7,0.00007901382,0.00038284904,0.000075713055,0.14897574,0.0016615725,0.00014286608],"about_ca_topic_score_codex":0.0031585756,"about_ca_topic_score_gemma":0.000092899245,"teacher_disagreement_score":0.44568595,"about_ca_system_score_codex":0.00009156968,"about_ca_system_score_gemma":0.000009619033,"threshold_uncertainty_score":0.47748426},"labels":[],"label_agreement":null},{"id":"W7101220853","doi":"","title":"on the Instability and Long-Run Inequality of Workers’ Earnings in Canada","year":2006,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Instability; Stability (learning theory); Economic inequality","score_opus":0.01603965108003016,"score_gpt":0.19275851041124437,"score_spread":0.1767188593312142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101220853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800191,0.000090310474,0.00022090478,0.0011509851,0.00007336076,0.00013099636,0.000085768275,0.0000053650097,0.01822322],"genre_scores_gemma":[0.9994798,0.000011918225,0.000037289978,0.00025924924,0.000010171777,0.000006267401,0.0000052836026,0.0000064804576,0.00018357742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988811,0.0000493203,0.0005999697,0.00024754644,0.00004457131,0.000177471],"domain_scores_gemma":[0.99906653,0.00035793515,0.0002239329,0.0002993456,0.000022906652,0.000029366172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013926184,0.00009761021,0.0002708495,0.00005001854,0.000037621903,0.000018413268,0.00013113205,0.000041484494,0.0002607926],"category_scores_gemma":[0.00025872415,0.000078036675,0.000031925334,0.00023799363,0.00005473818,0.000055838376,0.000053726035,0.00014648249,0.000002864702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000104275505,0.000028127843,0.6853656,0.000011631123,0.0000034159664,8.7913673e-7,0.000025050065,0.00005332676,6.5140006e-7,0.31435046,0.000060259652,0.000090165246],"study_design_scores_gemma":[0.00018960498,0.000011680954,0.9011836,0.000006986109,6.552228e-7,1.5767161e-7,0.00005954763,0.0008797885,0.000010600406,0.097282425,0.00028143352,0.000093490715],"about_ca_topic_score_codex":0.96354353,"about_ca_topic_score_gemma":0.95669186,"teacher_disagreement_score":0.21706803,"about_ca_system_score_codex":0.00022067231,"about_ca_system_score_gemma":0.00010135357,"threshold_uncertainty_score":0.31822434},"labels":[],"label_agreement":null},{"id":"W7103884371","doi":"10.1017/9781009448949.004","title":"Twenty Questions about Employment Testing Bias and Unfairness in Canada","year":2025,"lang":"","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Government (linguistics); Unemployment; Work (physics)","score_opus":0.04010571206002062,"score_gpt":0.19680299511682037,"score_spread":0.15669728305679975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103884371","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093589716,0.0015194572,0.0005704295,0.00011602773,0.0011465421,0.00091767666,0.0067840074,0.00004243184,0.89531374],"genre_scores_gemma":[0.4291128,0.0017633467,0.00016972191,0.00017191932,0.00006918653,0.000004132081,0.0000871136,0.000054800745,0.568567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963878,0.00010522422,0.0012089891,0.001420299,0.00014429403,0.000733439],"domain_scores_gemma":[0.99691266,0.0005575619,0.001022083,0.0008966094,0.00025181205,0.00035925847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007311288,0.00074054365,0.0013257754,0.00060684886,0.00044146625,0.00016944027,0.00068436,0.00044564504,0.000012662308],"category_scores_gemma":[0.00022401966,0.0011008381,0.0001839414,0.00009446051,0.00026892597,0.00018333299,0.0009886827,0.0009507364,0.0000027328601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006598445,0.000032675733,0.031667802,0.00033832082,0.00019594152,0.00034767247,0.000040436684,0.0001177476,5.5281083e-7,0.96258414,0.00034955936,0.004259151],"study_design_scores_gemma":[0.003052372,0.000107130174,0.09319706,0.0022961427,0.0002862211,0.000017133587,0.00022163658,0.018380813,0.000008329557,0.0010452386,0.8785903,0.0027976066],"about_ca_topic_score_codex":0.9297098,"about_ca_topic_score_gemma":0.43114328,"teacher_disagreement_score":0.9615389,"about_ca_system_score_codex":0.0032370347,"about_ca_system_score_gemma":0.0016072799,"threshold_uncertainty_score":0.9991442},"labels":[],"label_agreement":null},{"id":"W7108448532","doi":"10.20381/ruor-31584","title":"Essays in Labour, Monetary, and Experimental Macroeconomics","year":2025,"lang":"en","type":"dissertation","venue":"University of Ottawa - Library","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Wage; Monetary policy; Vector autoregression; Work (physics); Order (exchange); Impulse response; Observational error","score_opus":0.008144878140387526,"score_gpt":0.18322914407550636,"score_spread":0.17508426593511883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108448532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80720663,0.0029005616,0.000010063085,0.00015469031,0.00027987178,0.00014031594,0.0011122855,0.00002112355,0.18817447],"genre_scores_gemma":[0.9601669,0.0013674482,0.0008179647,0.00009227072,0.000021966429,7.683951e-7,0.0009978036,0.00002268898,0.036512226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99899,0.000021307313,0.00038606333,0.00041152426,0.00002238449,0.00016873941],"domain_scores_gemma":[0.99928796,0.0000429814,0.00036429704,0.00023873593,0.000009064023,0.00005694438],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013316047,0.00018422536,0.0005253811,0.00043057496,0.00005850471,0.000034748715,0.00030818224,0.0002617118,0.0009504964],"category_scores_gemma":[0.000009405164,0.0002822141,0.00010070247,0.00017153005,0.00004396672,0.00046997794,0.00011130564,0.00020892997,0.000013200492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012868826,0.00014428915,0.13811569,0.0003180757,0.000083394756,0.000032963762,0.00085119496,0.00003057094,0.0000067361857,0.8586581,0.0011358357,0.0004944968],"study_design_scores_gemma":[0.0049797576,0.00019830573,0.5192609,0.00047330672,0.00004869584,0.0000025339564,0.0065447856,0.004121203,0.000602451,0.28543746,0.17647262,0.001857985],"about_ca_topic_score_codex":0.0016088085,"about_ca_topic_score_gemma":0.0005155767,"teacher_disagreement_score":0.5732206,"about_ca_system_score_codex":0.000052750136,"about_ca_system_score_gemma":0.00006049388,"threshold_uncertainty_score":0.999963},"labels":[],"label_agreement":null},{"id":"W7112428567","doi":"","title":"Wage Transparency and The Gender Pay Gap: A Survey","year":2022,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Wage; Gender pay gap; Developing country; Gender gap; Estimation","score_opus":0.09985414979542549,"score_gpt":0.3140008662951544,"score_spread":0.21414671649972888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112428567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7877213,0.002446081,0.000048101523,0.0016161796,0.0013027798,0.0016532269,0.0042689648,0.000046128258,0.20089726],"genre_scores_gemma":[0.95945805,0.03681834,0.00011689133,0.00024309599,0.00012536658,0.0005107816,0.0002974235,0.00008969614,0.0023403773],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948293,0.0009937152,0.0015810388,0.0015324644,0.00013741774,0.00092606375],"domain_scores_gemma":[0.9958706,0.0016776863,0.00052046374,0.00167503,0.00007078506,0.00018543296],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018985307,0.00041778595,0.0011698847,0.0005161954,0.0003904042,0.00035457098,0.0012776112,0.00039351784,0.00096062676],"category_scores_gemma":[0.0011339078,0.00036006857,0.00029043207,0.0002873146,0.0006265622,0.000111555084,0.0017381251,0.002973742,0.000014627176],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007850975,0.00037417252,0.5269643,0.00041380577,0.0005217864,0.000056761863,0.0031266965,0.004059006,0.0000010798833,0.4312464,0.00009701381,0.032353856],"study_design_scores_gemma":[0.0031133255,0.00006688362,0.45885083,0.000040616975,0.000012063199,0.000006714408,0.000463537,0.01947858,8.322302e-7,0.47762853,0.03930611,0.0010319868],"about_ca_topic_score_codex":0.003187962,"about_ca_topic_score_gemma":0.0020912525,"teacher_disagreement_score":0.19855689,"about_ca_system_score_codex":0.00075061206,"about_ca_system_score_gemma":0.00027170847,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W7115033424","doi":"","title":"Three Essays in Labor Economics","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Wage; Productivity; Monopsony; Wage inequality; Efficiency wage; Inequality; Sorting","score_opus":0.021743517092997322,"score_gpt":0.22615461559431385,"score_spread":0.20441109850131653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115033424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6843507,0.0009330699,0.0000010093265,0.00005801198,0.0019785527,0.00055412075,0.010218008,0.00010270672,0.3018038],"genre_scores_gemma":[0.97835386,0.0023808368,0.00056264247,0.00056822994,0.000080593614,0.00024145508,0.0021356286,0.00021561957,0.015461163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99458456,0.00009403729,0.0024229765,0.0018175942,0.00011661905,0.00096418767],"domain_scores_gemma":[0.9965705,0.00029725948,0.0013284364,0.0013550236,0.0002012774,0.0002474976],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022872388,0.00089499966,0.0016944053,0.0011701224,0.0004785943,0.00020204707,0.0011914267,0.0013174786,0.0005652684],"category_scores_gemma":[0.0010280088,0.0011856437,0.00051649584,0.0010139872,0.000042329313,0.0007182677,0.00022308143,0.0017639,0.00052304217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000130443,0.0002197628,0.0025416277,0.0003576536,0.00017004159,0.000028717177,0.0000063908205,0.00007751882,0.000034016906,0.9732655,0.0000068661857,0.023161413],"study_design_scores_gemma":[0.0011891845,0.000052604242,0.0158946,0.0002519423,0.000039944654,0.000002051075,0.00006258048,0.00046480919,0.0002540135,0.9031406,0.077326365,0.0013212935],"about_ca_topic_score_codex":0.0032074284,"about_ca_topic_score_gemma":0.041757718,"teacher_disagreement_score":0.2940031,"about_ca_system_score_codex":0.0015196204,"about_ca_system_score_gemma":0.00010592474,"threshold_uncertainty_score":0.999979},"labels":[],"label_agreement":null},{"id":"W7117507911","doi":"10.2139/ssrn.5962594","title":"O-Ring Automation","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Task (project management); Bottleneck; Quality (philosophy); Object (grammar)","score_opus":0.014297876273625222,"score_gpt":0.2397100766798797,"score_spread":0.22541220040625448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117507911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42522833,0.046875905,0.42839393,0.0054366174,0.013030019,0.001173218,0.0008948359,0.00016964393,0.07879752],"genre_scores_gemma":[0.873033,0.103607394,0.00048249797,0.00022187314,0.0009990754,0.000029315615,0.00007459493,0.000063461564,0.021488793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98996794,0.00022431824,0.00309511,0.0012607786,0.00019408687,0.005257747],"domain_scores_gemma":[0.9952929,0.00017254218,0.0029505626,0.0010578339,0.00029907573,0.0002270717],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014071014,0.0007925286,0.0015000838,0.0010343805,0.00074591744,0.00081034703,0.0015372415,0.0009227622,0.00032491892],"category_scores_gemma":[0.0005582889,0.001002221,0.00096783275,0.00067283097,0.00009331551,0.00050437276,0.00080673816,0.010571831,0.00022904416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00006216001,0.00018126711,0.011047409,0.00018867654,0.0010840811,0.0000047107437,0.00025786177,0.0017479766,0.0000018470482,0.9544113,0.000024692956,0.03098799],"study_design_scores_gemma":[0.0010609139,0.00014436267,0.0042406665,0.00027874613,0.000097542325,0.000081925056,0.00038812537,0.032758854,0.0000035606806,0.9511268,0.008888855,0.00092964433],"about_ca_topic_score_codex":0.00077546446,"about_ca_topic_score_gemma":0.0011009787,"teacher_disagreement_score":0.4478047,"about_ca_system_score_codex":0.008711549,"about_ca_system_score_gemma":0.006343887,"threshold_uncertainty_score":0.9992892},"labels":[],"label_agreement":null},{"id":"W7132886038","doi":"","title":"Essays in Public and Labour Economics","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Entitlement (fair division); Unemployment; Welfare; Regression discontinuity design; Earned income tax credit; Income Support; Government (linguistics); Social insurance","score_opus":0.029318394996004943,"score_gpt":0.2737753212397693,"score_spread":0.24445692624376433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132886038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87267953,0.005270375,0.00016050796,0.0026691451,0.001994259,0.00051460665,0.0006261995,0.000026404525,0.116058975],"genre_scores_gemma":[0.9238219,0.024354253,0.0002601257,0.00034592385,0.000117778996,0.00011353898,0.0005016063,0.000067580055,0.05041726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958742,0.0000938014,0.0017190961,0.0014405657,0.000047750997,0.00082453096],"domain_scores_gemma":[0.9973838,0.00027906275,0.0011471494,0.00082927744,0.00012837182,0.00023239478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019466615,0.0006593746,0.0015163482,0.0012055833,0.00020880307,0.0006332495,0.000554183,0.0009303158,0.00085924286],"category_scores_gemma":[0.0005924529,0.00093820714,0.00020988684,0.00084317464,0.00007498963,0.0003896499,0.00021481422,0.00086567923,0.00007677507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069252514,0.00017325277,0.06915055,0.0006671603,0.00012233728,0.000008542293,0.0022549564,0.000056490982,0.0000016643828,0.9219904,0.0000353217,0.005470093],"study_design_scores_gemma":[0.0028097585,0.000113547685,0.21042936,0.000370873,0.000046317098,0.0000033770557,0.0051514474,0.016252778,0.000013018582,0.67646295,0.086189836,0.002156745],"about_ca_topic_score_codex":0.0035930837,"about_ca_topic_score_gemma":0.0080548115,"teacher_disagreement_score":0.24552743,"about_ca_system_score_codex":0.0005008567,"about_ca_system_score_gemma":0.00036856477,"threshold_uncertainty_score":0.99930686},"labels":[],"label_agreement":null},{"id":"W7132889263","doi":"","title":"Essays in Empirical Economics","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto; Cotton Research and Development Corporation","keywords":"Regression discontinuity design; Victory; Empirical research; Layoff; Test (biology); White (mutation); Regression analysis","score_opus":0.06050733741194794,"score_gpt":0.33818247201390655,"score_spread":0.2776751346019586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132889263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920456,0.0012558323,0.00010527617,0.0017107009,0.0052969293,0.00060845714,0.00044903383,0.00008816113,0.0700296],"genre_scores_gemma":[0.91097313,0.010885326,0.00021575483,0.00036095188,0.00042074217,0.00022769261,0.0014143283,0.0002948238,0.07520723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943122,0.000109509194,0.0025227128,0.0018253883,0.00008379094,0.0011463492],"domain_scores_gemma":[0.9964934,0.00044777527,0.0014935763,0.0011766495,0.000097028766,0.00029155178],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025899494,0.0008166604,0.0019250928,0.0012048295,0.00018722782,0.00034266844,0.0008394267,0.0012897949,0.0014833577],"category_scores_gemma":[0.00064827706,0.0011550339,0.0005191215,0.0013098692,0.00009115665,0.0002500766,0.00019820311,0.0012272045,0.0030234468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005305759,0.00093406386,0.41761017,0.001227225,0.0004775902,0.0001661317,0.035101276,0.002980855,0.0000055421947,0.5331205,0.0020075894,0.0058384878],"study_design_scores_gemma":[0.003192265,0.0002454186,0.41676328,0.00043088515,0.0000702479,0.000004994709,0.012691366,0.066275,0.000022486114,0.45270798,0.043836914,0.0037591546],"about_ca_topic_score_codex":0.0041825604,"about_ca_topic_score_gemma":0.008087126,"teacher_disagreement_score":0.0804125,"about_ca_system_score_codex":0.0008953391,"about_ca_system_score_gemma":0.000306314,"threshold_uncertainty_score":0.9994294},"labels":[],"label_agreement":null},{"id":"W7132958020","doi":"","title":"Essays in Labour Economics","year":2018,"lang":"","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Procrastination; Set (abstract data type); Educational attainment; Variance (accounting); Focus (optics); Variation (astronomy)","score_opus":0.02430636900777204,"score_gpt":0.28430961743385236,"score_spread":0.2600032484260803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132958020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8604205,0.0019420877,0.0002061873,0.00065134605,0.004614745,0.0005595781,0.00069498335,0.000035411187,0.13087517],"genre_scores_gemma":[0.91770166,0.008273708,0.0008573807,0.00039776933,0.00067319867,0.00012734688,0.0007685953,0.00018691596,0.0710134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946725,0.000091988084,0.0023391342,0.0017238834,0.00007208007,0.0011004456],"domain_scores_gemma":[0.99607664,0.00016126758,0.001992568,0.0013113536,0.00018703518,0.00027116135],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024564264,0.0008508057,0.0017962087,0.00091770286,0.00021859458,0.00039250034,0.0009475841,0.0012144585,0.0058921273],"category_scores_gemma":[0.0004147152,0.0012070996,0.0004058175,0.0008205326,0.00013385805,0.00036096442,0.00016721949,0.00091400364,0.0019151313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026094756,0.00038864478,0.051808808,0.00052299234,0.00017472758,0.000022095537,0.009223415,0.00013734004,0.0000054763914,0.9348385,0.00021112233,0.002405956],"study_design_scores_gemma":[0.003055108,0.00032063364,0.12061215,0.00040006504,0.000050988012,0.00000536326,0.00594292,0.01336185,0.000099457895,0.69832134,0.15453368,0.0032964528],"about_ca_topic_score_codex":0.005407491,"about_ca_topic_score_gemma":0.0072860783,"teacher_disagreement_score":0.23651715,"about_ca_system_score_codex":0.00080196565,"about_ca_system_score_gemma":0.00027735595,"threshold_uncertainty_score":0.99903786},"labels":[],"label_agreement":null},{"id":"W7133044383","doi":"","title":"Behavioural Responses to Imperfect Information: Evidence from Post-Secondary Education and Early Career Choices","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Imperfect; Quality (philosophy); Perfect information; Seekers; Inequality; Higher education; Minor (academic)","score_opus":0.03280793673996865,"score_gpt":0.30345970704750996,"score_spread":0.2706517703075413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133044383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96813345,0.018876458,0.00012338202,0.0015666637,0.0035312849,0.0011130759,0.0023187988,0.00004526317,0.004291632],"genre_scores_gemma":[0.9741228,0.002819863,0.00064585824,0.0008226148,0.00021489068,0.00021236535,0.0014737775,0.00004001039,0.019647777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657845,0.00015162597,0.0016048206,0.00096401456,0.00017178824,0.0005292988],"domain_scores_gemma":[0.99597496,0.00077426014,0.001226236,0.0009269633,0.00075513317,0.00034243657],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0012038095,0.0006503135,0.0010566717,0.0010245707,0.00042237813,0.0012323139,0.0006319876,0.0006385859,0.0008238788],"category_scores_gemma":[0.002079253,0.0008210036,0.00024498923,0.0007037198,0.00005497329,0.0021010337,0.0002239214,0.00072192587,0.00019007837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018390449,0.00021747452,0.86714333,0.0011761197,0.0003243064,0.0000064669393,0.058248866,0.000011818459,0.00011802853,0.008860796,0.00053418713,0.061519574],"study_design_scores_gemma":[0.00046334934,0.00034626274,0.98176074,0.0009716101,0.00012602762,0.0000022125835,0.005850568,0.00013552047,0.00009390222,0.0014777735,0.007822081,0.0009499472],"about_ca_topic_score_codex":0.077273645,"about_ca_topic_score_gemma":0.003430527,"teacher_disagreement_score":0.11461743,"about_ca_system_score_codex":0.0003950599,"about_ca_system_score_gemma":0.0013648958,"threshold_uncertainty_score":0.9998045},"labels":[],"label_agreement":null},{"id":"W7135780165","doi":"","title":"The effect of education on the duration of unemployment in Czech republic","year":2013,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Czech; Quarter (Canadian coin); Human capital; Christian ministry; Work (physics); Higher education","score_opus":0.007885085205363506,"score_gpt":0.23074776829725002,"score_spread":0.2228626830918865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135780165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404674,0.003635659,0.0000070843175,0.00018930895,0.0033877178,0.0012606916,0.00033904825,0.000010901464,0.0507022],"genre_scores_gemma":[0.9826783,0.00015028655,0.000013438621,0.000025989328,0.00026755698,0.00022194706,0.0008458196,0.000050585706,0.01574609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.994412,0.00035049213,0.0034907153,0.0007434115,0.0006933002,0.00031006918],"domain_scores_gemma":[0.99020076,0.0021289021,0.004818378,0.00092285004,0.0018396039,0.00008951227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017425417,0.00052728725,0.00092973013,0.0005772116,0.00033876393,0.00080492883,0.00075244694,0.00053275266,0.00000750246],"category_scores_gemma":[0.0024081706,0.00038958795,0.0005493027,0.0008816173,0.00026348722,0.0008756977,0.00007273935,0.00061315927,0.0000052547134],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002066116,0.0017813679,0.27847996,0.0026940396,0.0009481113,0.000011449995,0.003377817,0.0004232839,0.0038642923,0.6994577,0.0012426021,0.0056532747],"study_design_scores_gemma":[0.0026634966,0.0041404753,0.8213741,0.0075195665,0.00019774598,0.00007310072,0.0011332198,0.005107936,0.0886479,0.056524247,0.0105178915,0.0021003077],"about_ca_topic_score_codex":0.00021004002,"about_ca_topic_score_gemma":0.000014186879,"teacher_disagreement_score":0.6429334,"about_ca_system_score_codex":0.0005111642,"about_ca_system_score_gemma":0.0005611332,"threshold_uncertainty_score":0.9998556},"labels":[],"label_agreement":null},{"id":"W7139688675","doi":"","title":"Estimating Persistence In Canadian Unemployment: Evidence From A Bayesian Arfima","year":2006,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Autoregressive fractionally integrated moving average; Unemployment; Bayesian probability; Disinflation; Bayesian inference","score_opus":0.0826110822449403,"score_gpt":0.34301334295484115,"score_spread":0.26040226070990086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139688675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807347,0.007043237,0.0012278814,0.008096163,0.0001395425,0.00007172031,0.000115280025,0.0000024315104,0.002569014],"genre_scores_gemma":[0.9842881,0.0070337155,0.00844561,0.000048540456,0.00009396307,0.0000045349466,0.000010614642,0.0000077341165,0.000067165216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847007,0.00020822012,0.0007880725,0.00015836836,0.00016830063,0.00020695418],"domain_scores_gemma":[0.99816525,0.0005467181,0.0004720325,0.000286593,0.00041695646,0.00011247738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005567419,0.00007129017,0.00019758905,0.000623667,0.00018294452,0.00021562997,0.0006623376,0.000060432685,0.0001491293],"category_scores_gemma":[0.0010423337,0.00007066139,0.00006264465,0.00027214148,0.0000731341,0.0003795744,0.00011603083,0.0005251102,0.000008327894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025014671,0.000055646495,0.9674341,0.000004717983,0.00003205553,0.000007201671,0.0004355789,0.00074131537,0.000006050716,0.030071532,0.00044864463,0.0007381277],"study_design_scores_gemma":[0.0003803643,0.00004488337,0.70093906,0.00019810577,0.0000043490772,0.0000067365677,0.00049945456,0.09477856,0.00000950311,0.19839112,0.0046309694,0.00011687899],"about_ca_topic_score_codex":0.6122353,"about_ca_topic_score_gemma":0.19444254,"teacher_disagreement_score":0.41779277,"about_ca_system_score_codex":0.00042992606,"about_ca_system_score_gemma":0.00010112742,"threshold_uncertainty_score":0.82025677},"labels":[],"label_agreement":null},{"id":"W7142573833","doi":"","title":"Flexibility’s shortfall: temporary agency work, wage growth, and productivity in UK firms","year":2025,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Wage; Agency (philosophy); Production (economics); Efficiency wage","score_opus":0.032919001381601934,"score_gpt":0.2670460829539824,"score_spread":0.2341270815723805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7142573833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90396994,0.00021711361,0.00018736358,0.0047904197,0.00014607722,0.0005814683,0.00018164075,0.00004864983,0.08987732],"genre_scores_gemma":[0.9867255,0.00059308816,0.00020014844,0.000045899127,0.000039551793,0.000004944306,0.00004677015,0.000016938531,0.01232715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997195,0.0002878918,0.00054871425,0.0010742329,0.00015333964,0.0007408228],"domain_scores_gemma":[0.9985102,0.00030667146,0.00015103052,0.0007010565,0.000114487004,0.00021658967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040032547,0.00022777253,0.00054016116,0.0010585984,0.00030816937,0.0000775115,0.00050768396,0.00022043682,0.00020323438],"category_scores_gemma":[0.000851395,0.00027935716,0.00012227231,0.0021538525,0.0003908918,0.0005231812,0.00068501785,0.0008315472,0.000025040386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011297634,0.00022587592,0.67954963,0.00009423388,0.000044981323,0.00018618612,0.00014194491,0.0000038418043,0.0000041533135,0.31834128,0.0005522081,0.00074265065],"study_design_scores_gemma":[0.0007235148,0.000077230805,0.8816109,0.000075787386,0.000005656943,9.830203e-7,0.00028374235,0.00009870777,0.000026513819,0.108929135,0.0078083025,0.00035957218],"about_ca_topic_score_codex":0.008223071,"about_ca_topic_score_gemma":0.00029745427,"teacher_disagreement_score":0.20941216,"about_ca_system_score_codex":0.00026729231,"about_ca_system_score_gemma":0.00020046403,"threshold_uncertainty_score":0.99996585},"labels":[],"label_agreement":null},{"id":"W7161975303","doi":"10.82308/20040","title":"Essays on the rise of job instability in Canada, the United Kingdom and Germany","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Rate of profit; Private life","score_opus":0.03251054200830437,"score_gpt":0.22815512723556966,"score_spread":0.1956445852272653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161975303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433532,0.00018295179,0.000007798863,0.0018733307,0.0002526017,0.00028345783,0.00038659998,0.000005001833,0.0536551],"genre_scores_gemma":[0.99890494,0.00015759877,0.0000073051797,0.00041881378,0.000019130175,0.00002959703,0.000089679656,0.000017048229,0.0003559116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99867225,0.00007480214,0.00071102247,0.00031777704,0.00006258217,0.000161551],"domain_scores_gemma":[0.9986733,0.0003911042,0.00043848337,0.00040927288,0.000046573834,0.00004127488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090482255,0.00017652816,0.00041007562,0.000104358616,0.00007124912,0.000036286936,0.0003126513,0.000105025996,0.0002390752],"category_scores_gemma":[0.0003518876,0.0001174659,0.000058169444,0.00041926093,0.000041246127,0.000033690583,0.00003966017,0.00039460114,0.0000035558548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051633717,0.00002130721,0.089324154,0.00009202726,0.000031821724,0.0000020785615,0.0003919265,0.00002221287,0.0000013126099,0.90971345,0.00017742076,0.00017064497],"study_design_scores_gemma":[0.0003251406,0.00002738105,0.8979033,0.000046382294,0.000010709182,2.0663728e-7,0.0010281897,0.010183153,0.000017327351,0.075821735,0.014335383,0.00030107397],"about_ca_topic_score_codex":0.9095369,"about_ca_topic_score_gemma":0.9454833,"teacher_disagreement_score":0.83389175,"about_ca_system_score_codex":0.00020679792,"about_ca_system_score_gemma":0.00023285417,"threshold_uncertainty_score":0.47901204},"labels":[],"label_agreement":null},{"id":"W7161980458","doi":"10.82308/33742","title":"Three Essays in Labor Economics","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Parental leave; Wage; Inequality; Industrial relations; Variation (astronomy); Gender inequality; Social inequality","score_opus":0.01966266313332605,"score_gpt":0.23623476987812728,"score_spread":0.21657210674480123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161980458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6061652,0.0032824269,0.00008175122,0.00035325848,0.002845276,0.00023931697,0.00073615625,0.000064686195,0.386232],"genre_scores_gemma":[0.94395983,0.0027417738,0.0005084078,0.00035625199,0.00033399125,0.000117096315,0.0018137824,0.00017336251,0.049995486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99773085,0.000006930572,0.0011132195,0.000775519,0.000025146426,0.00034833365],"domain_scores_gemma":[0.9990361,0.0000527397,0.00032287615,0.0004857279,0.000032311775,0.00007028817],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007451506,0.00032706576,0.0007223249,0.0005337722,0.000033724475,0.00020777002,0.00035102252,0.00047909305,0.0012089078],"category_scores_gemma":[0.00007202018,0.00037928502,0.00019339657,0.0003476605,0.000015654257,0.0001482875,0.000046188106,0.00049151824,0.001466302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020638081,0.00004615492,0.009370786,0.0002105433,0.00005446419,0.000011362117,0.00025688726,0.00001996672,5.891547e-7,0.9883787,0.00035698444,0.0012729461],"study_design_scores_gemma":[0.00022990615,0.000016447968,0.021760099,0.000060553928,0.00000836401,5.508716e-7,0.00013151809,0.0035399778,0.000004571608,0.9539387,0.019804876,0.00050442445],"about_ca_topic_score_codex":0.0024478175,"about_ca_topic_score_gemma":0.04499637,"teacher_disagreement_score":0.3377947,"about_ca_system_score_codex":0.00025964796,"about_ca_system_score_gemma":0.00008048908,"threshold_uncertainty_score":0.9998659},"labels":[],"label_agreement":null},{"id":"W7162014466","doi":"10.82308/54737","title":"Essays on the size and sources of gender and sexual minority wage gaps in Canada","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Sexual orientation; Earnings; Disadvantaged; Occupational segregation; Disadvantage; Lesbian","score_opus":0.01745241224369837,"score_gpt":0.2073107262310373,"score_spread":0.18985831398733893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162014466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117975,0.00084436254,0.0000023076955,0.00013072949,0.00018135308,0.00013152692,0.0005529385,0.000002824667,0.08635641],"genre_scores_gemma":[0.99488944,0.0004013721,0.000012571038,0.0001366414,0.000029403225,0.000013824007,0.000025952653,0.000012401085,0.00447842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989581,0.000027155253,0.00047249268,0.00032699568,0.000046407247,0.00016883582],"domain_scores_gemma":[0.99895096,0.0004428346,0.0003146016,0.00022408256,0.000024617662,0.000042927008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355728,0.0001670056,0.00038923312,0.00006635392,0.000049023653,0.000028538085,0.00012508649,0.000120237986,0.00029309542],"category_scores_gemma":[0.00018084375,0.000118710115,0.0000228499,0.00007288604,0.000029211711,0.0000422764,0.000026988411,0.00015180118,0.0000016034111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056634635,0.000032542204,0.50040686,0.0002587925,0.00006421713,0.000005274604,0.0004961678,0.0000010033092,0.0000132854,0.4971011,0.00020695486,0.0013571647],"study_design_scores_gemma":[0.00035120262,0.000025713696,0.9339569,0.000028629494,0.000007057429,5.997698e-7,0.0011787241,0.00012272691,0.000037529833,0.06342064,0.0005857873,0.0002844948],"about_ca_topic_score_codex":0.7471821,"about_ca_topic_score_gemma":0.8678015,"teacher_disagreement_score":0.43368047,"about_ca_system_score_codex":0.00009861146,"about_ca_system_score_gemma":0.00011988687,"threshold_uncertainty_score":0.4840858},"labels":[],"label_agreement":null},{"id":"W7162103542","doi":"10.82308/25247","title":"Three Essays in Labor Economics","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Productivity; Efficiency wage; Wage inequality; Sorting; Inequality; Occupational segregation; Personnel economics","score_opus":0.020561316802903302,"score_gpt":0.23447709741418588,"score_spread":0.21391578061128258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162103542","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4607746,0.0012747664,0.00026795338,0.00029948395,0.0017964297,0.0002765075,0.0008030884,0.000039275626,0.53446794],"genre_scores_gemma":[0.88867456,0.003635761,0.0011247959,0.00079735386,0.00022197151,0.00016687291,0.0029384864,0.00010256346,0.102337666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779737,0.000009594355,0.0011441811,0.0006895597,0.000021282567,0.00033801474],"domain_scores_gemma":[0.9987976,0.00008202391,0.00045938644,0.0005558605,0.000048817514,0.000056320398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068727206,0.00030690257,0.00079789484,0.0005619038,0.00004875501,0.000116227726,0.00041953786,0.00049681676,0.00088866806],"category_scores_gemma":[0.00014246593,0.00037914724,0.0001695699,0.00036601909,0.000011545713,0.0001392469,0.000045830548,0.00038214997,0.00020123454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032172076,0.000066539644,0.028228782,0.0001409303,0.000044516008,0.0000032328187,0.000085810236,0.000031354615,3.1331143e-7,0.9687698,0.00022038461,0.002376202],"study_design_scores_gemma":[0.00045311416,0.000013367528,0.061675824,0.000056953744,0.0000065324703,1.5300661e-7,0.00008551733,0.0022334154,0.0000063905422,0.91955453,0.015438271,0.0004759132],"about_ca_topic_score_codex":0.003152066,"about_ca_topic_score_gemma":0.061557412,"teacher_disagreement_score":0.43213025,"about_ca_system_score_codex":0.0002521597,"about_ca_system_score_gemma":0.00012497322,"threshold_uncertainty_score":0.99986607},"labels":[],"label_agreement":null},{"id":"W7164538543","doi":"10.13140/rg.2.2.15395.82724","title":"The Gender Wage Gap in Canada: Empirical Decomposition, Policy Impacts, and Labour Market Dynamics. A Comprehensive Analysis Using Statistics Canada Labour Force Survey Data (2010-2025).","year":2025,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Survey data collection; Gender pay gap; Official statistics; Current Population Survey; Survey research; Empirical research","score_opus":0.06416659208881578,"score_gpt":0.31362022891888763,"score_spread":0.24945363683007185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164538543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89198214,0.0014901285,0.036653347,0.0020087294,0.00041138398,0.00029950443,0.06556603,0.000011756327,0.0015769706],"genre_scores_gemma":[0.9928013,0.00097271596,0.0012224077,0.0023478696,0.000025947496,0.0000044178746,0.001271516,0.00002027179,0.0013335301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973419,0.00024583284,0.0010296791,0.0006553552,0.00011460642,0.00061263476],"domain_scores_gemma":[0.9969964,0.001243746,0.00034197728,0.0010075265,0.00022755832,0.00018280244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001233754,0.00027300965,0.0006859383,0.000347179,0.0003189775,0.00023313523,0.00061305106,0.00008838043,0.00013564303],"category_scores_gemma":[0.0007268512,0.00025563932,0.00003608314,0.00195838,0.00006740145,0.00015635685,0.0004911757,0.00026907114,6.4051306e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004042438,0.000022428585,0.85008395,0.00004819655,0.0005078489,0.000019203822,0.000023478917,0.00042505286,4.7989346e-7,0.14295848,0.0056364676,0.00023400171],"study_design_scores_gemma":[0.00029641794,0.0000035882158,0.72373706,0.0000061411542,0.000032164433,0.0000012145657,0.00014417885,0.2651953,1.8543737e-7,0.009349464,0.0010165093,0.00021774121],"about_ca_topic_score_codex":0.9995233,"about_ca_topic_score_gemma":0.9999602,"teacher_disagreement_score":0.26477027,"about_ca_system_score_codex":0.0028134913,"about_ca_system_score_gemma":0.0042989976,"threshold_uncertainty_score":0.99998957},"labels":[],"label_agreement":null},{"id":"W812013614","doi":"","title":"Differences in unemployment between males and females in France","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Distribution (mathematics); Economics; Welfare; Demographic economics; Unemployment rate; Duration (music); Quarter (Canadian coin); Labour economics; Welfare state; Econometrics; Demography; Mathematics; Sociology; Geography; Political science; Economic growth","score_opus":0.039835138521136584,"score_gpt":0.25436984604444657,"score_spread":0.21453470752331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W812013614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97433984,0.0018180144,0.00006510234,0.00017224957,0.00025648868,0.00019872817,0.00011540692,0.00001353875,0.023020657],"genre_scores_gemma":[0.990306,0.0009946215,0.00015838598,0.000056721037,0.00006118607,0.00003977976,0.00024710599,0.000023122926,0.008113046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830997,0.00002947368,0.00084824377,0.0005208809,0.00003969275,0.0002517491],"domain_scores_gemma":[0.9992675,0.00013229378,0.00032272362,0.00021444513,0.000014045892,0.000048977025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006478336,0.00023534354,0.0007925049,0.0003633097,0.000027269229,0.00007225815,0.00018987352,0.0002771978,0.00013639418],"category_scores_gemma":[0.0000738171,0.00024701568,0.0000524574,0.00019150524,0.000026725193,0.00007844309,0.000028339684,0.0002473666,0.000029323039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005053258,0.000026660891,0.8654187,0.00014105185,0.000011692277,0.0000017258188,0.00016315744,9.417805e-7,3.6843426e-7,0.13322902,0.0000050641274,0.0009966128],"study_design_scores_gemma":[0.00028479673,0.000022724596,0.91291517,0.00010344827,0.0000023669159,6.186882e-8,0.00007414724,0.00026663268,0.0000035525059,0.08507678,0.00095749274,0.00029283937],"about_ca_topic_score_codex":0.0020647927,"about_ca_topic_score_gemma":0.0065377536,"teacher_disagreement_score":0.04815224,"about_ca_system_score_codex":0.00005148363,"about_ca_system_score_gemma":0.000014703461,"threshold_uncertainty_score":0.9999982},"labels":[],"label_agreement":null},{"id":"W830612892","doi":"","title":"Procyclical Skill Retooling and Equilibrium","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Boom; Unemployment; Recession; General equilibrium theory; Business cycle; Aggregate (composite); Monetary economics; Labour economics; Keynesian economics; Macroeconomics","score_opus":0.05003294189263369,"score_gpt":0.2954821055051443,"score_spread":0.24544916361251062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W830612892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82105565,0.0012260576,0.00001401371,0.0007873284,0.00057819043,0.00070962077,0.00048601752,0.000056187702,0.17508696],"genre_scores_gemma":[0.9780601,0.01649254,0.00078276085,0.00014637363,0.00037719964,0.00018261884,0.00006894918,0.000111777335,0.0037776576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99523735,0.0001515137,0.0015904845,0.001775377,0.00010761602,0.0011376523],"domain_scores_gemma":[0.9972749,0.00048343537,0.00049284,0.0013400053,0.00008454856,0.00032432456],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004010058,0.00045159154,0.0011500278,0.0007491451,0.00013871405,0.0004360675,0.0008028381,0.00084125093,0.00029124078],"category_scores_gemma":[0.0012132982,0.00056364614,0.00022808835,0.00020508764,0.00037453472,0.00020157485,0.0020505986,0.002386434,0.000049668826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003590212,0.0013631867,0.37382838,0.0026361335,0.0006458143,0.00027701084,0.0030507934,0.0061152074,0.000052879142,0.4142085,0.00022501686,0.19723807],"study_design_scores_gemma":[0.0020121094,0.00019701043,0.053877685,0.00043767836,0.000012466953,0.000032330947,0.00028648798,0.18576512,0.000027723629,0.67551184,0.079512484,0.002327083],"about_ca_topic_score_codex":0.00022489348,"about_ca_topic_score_gemma":0.00011074817,"teacher_disagreement_score":0.31995067,"about_ca_system_score_codex":0.00086474384,"about_ca_system_score_gemma":0.000111427515,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W831395239","doi":"10.15353/rea.v10i1.1507","title":"Search Frictions, Efficiency Wages and Equilibrium Unemployment","year":2018,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Matching (statistics); Efficiency wage; Wage; Component (thermodynamics); Involuntary unemployment; Decomposition; Econometrics; Labour economics; Macroeconomics; Mathematics; Statistics; Physics","score_opus":0.03136815564545771,"score_gpt":0.2869873449043433,"score_spread":0.2556191892588856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W831395239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88235754,0.09354212,0.0033147878,0.0013832068,0.00018758523,0.00026301658,0.00035460969,0.000023560495,0.018573543],"genre_scores_gemma":[0.9354566,0.06341557,0.00035146115,0.00027250804,0.0000790836,0.0000095415535,0.00002650775,0.000011421254,0.0003773541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982968,0.000042235988,0.0009872565,0.0004286339,0.000030577095,0.00021448125],"domain_scores_gemma":[0.9988727,0.00006959731,0.00041214284,0.0005080889,0.000053094634,0.00008439724],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017418378,0.00013572286,0.0008674191,0.00031526035,0.00006600268,0.000032703938,0.00021413299,0.00004802194,0.0015408861],"category_scores_gemma":[0.00007232517,0.0001396643,0.00030257908,0.00053539395,0.00013820849,0.00012064991,0.00011624754,0.000065127395,0.00019871428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011376321,0.00015985867,0.40513802,0.0022038356,0.0021466685,0.0000017361008,0.00017219693,0.00022275925,0.000013944992,0.5844074,0.00067746826,0.0048447554],"study_design_scores_gemma":[0.0025396387,0.0011718736,0.24372149,0.0028481677,0.004841895,0.00002058702,0.00030940239,0.41100612,0.0005094224,0.115111046,0.21407111,0.0038492368],"about_ca_topic_score_codex":0.00053031737,"about_ca_topic_score_gemma":0.00004072739,"teacher_disagreement_score":0.46929634,"about_ca_system_score_codex":0.00010139912,"about_ca_system_score_gemma":0.000025860165,"threshold_uncertainty_score":0.9993718},"labels":[],"label_agreement":null},{"id":"W86176158","doi":"10.7202/028681ar","title":"The Paradox of Unemployment and Job Vacancies : Some Theories Confronted by Data","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Ontario Ministry of Labour","funders":"","keywords":"Unemployment; Labour economics; Economics; Positive economics; Psychology; Macroeconomics","score_opus":0.036484758432463626,"score_gpt":0.2421433222765344,"score_spread":0.20565856384407077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86176158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446111,0.023884904,0.0018818678,0.016217047,0.00022519269,0.0002843488,0.0028612649,0.000033495886,0.0100008035],"genre_scores_gemma":[0.9939647,0.0022011404,0.00015711781,0.000074553034,0.000058590278,0.000008043854,0.000084384126,0.000009800633,0.003441668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990537,0.000027883625,0.00050503947,0.00022124597,0.000039870152,0.00015226497],"domain_scores_gemma":[0.9988025,0.00032946744,0.00025408337,0.0005448343,0.000029185941,0.000039924143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007624917,0.00009462787,0.00018326026,0.000045049124,0.00024238652,0.00006121837,0.000293023,0.00011074596,0.00006318988],"category_scores_gemma":[0.0002845923,0.000079329184,0.000023453811,0.00014674297,0.00018949226,0.00026441316,0.00014853092,0.00016557651,0.000014883044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070928736,0.000025597546,0.053442396,0.0000011590204,0.000050768616,1.02679124e-7,0.00017460958,0.000048605154,0.0000033435392,0.9355586,0.0055249697,0.0051627434],"study_design_scores_gemma":[0.00045963575,0.00003029798,0.01623004,0.000013590293,0.000015925265,0.0000010497222,0.00047136744,0.006823958,0.000052894844,0.19369552,0.7819965,0.00020926824],"about_ca_topic_score_codex":0.00019357308,"about_ca_topic_score_gemma":0.000058897884,"teacher_disagreement_score":0.7764715,"about_ca_system_score_codex":0.000036097004,"about_ca_system_score_gemma":0.00003507374,"threshold_uncertainty_score":0.323495},"labels":[],"label_agreement":null}]}