{"meta":{"query_hash":"586e03847f2c","filters":{"venue":"Review of Economic and Business Studies"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/586e03847f2c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Review+of+Economic+and+Business+Studies"},"results":[{"id":"W2741666373","doi":"10.1515/rebs-2017-0047","title":"Female Labor Force Participation Rate and Economic Growth in the Framework of Kuznets Curve: Evidence from Turkey","year":2017,"lang":"en","type":"article","venue":"Review of Economic and Business Studies","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","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":"Cointegration; Economics; Context (archaeology); Kuznets curve; Error correction model; Econometrics; Quarter (Canadian coin); Test (biology); Labour economics; Demographic economics","score_opus":0.08742578701206015,"score_gpt":0.37566445027367834,"score_spread":0.2882386632616182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741666373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8234816,0.17405233,0.0000118193675,0.0018198326,0.00019234038,0.00023453968,0.000021435611,0.000003821249,0.00018227243],"genre_scores_gemma":[0.5523686,0.4473747,0.00007601759,0.00009864732,0.00005563854,0.000014074957,9.2326513e-7,0.00000297372,0.000008457507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914503,0.0001446116,0.00034810393,0.00018539076,0.00004416454,0.00013270431],"domain_scores_gemma":[0.9986173,0.00062483293,0.00042315872,0.00021475357,0.00009799794,0.000021987731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011781767,0.00010012208,0.00045112474,0.000020644971,0.00024322805,0.000045364643,0.00022942443,0.000045149074,0.00000766972],"category_scores_gemma":[0.0010455992,0.00007285735,0.0000312033,0.000039802824,0.0004931392,0.00034117347,0.00008949688,0.00005072147,0.0000021051906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009475371,0.000015193746,0.96918035,0.0019479978,0.0000559893,4.770081e-7,0.010294722,0.000018574568,0.000003183756,0.01615786,0.00011610363,0.0022000622],"study_design_scores_gemma":[0.000119081924,0.000011676688,0.98530793,0.003876444,0.00006836997,1.1749399e-7,0.0035847542,0.00012199596,0.0000034192,0.00647977,0.00032824365,0.00009817316],"about_ca_topic_score_codex":0.0036959716,"about_ca_topic_score_gemma":0.0022711097,"teacher_disagreement_score":0.27332237,"about_ca_system_score_codex":0.000034243043,"about_ca_system_score_gemma":0.000081557446,"threshold_uncertainty_score":0.5587228},"labels":[],"label_agreement":null},{"id":"W4414714985","doi":"10.47743/rebs-2025-1-0003","title":"THE INFLUENCE OF CHANGES IN EMPLOYMENT STRUCTURE ON INCOME INEQUALITY ON THE SAMPLE OF 7 OECD COUNTRIES","year":2025,"lang":"en","type":"article","venue":"Review of Economic and Business Studies","topic":"Economic Growth and Productivity","field":"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; Economic inequality; Sample (material); Liberalization; Income distribution; Technological change","score_opus":0.0465962393161749,"score_gpt":0.2861507311277112,"score_spread":0.23955449181153632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414714985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8577997,0.13470057,0.0000014829466,0.0063498137,0.00016339327,0.00031874984,0.00026317363,0.000002252937,0.00040083617],"genre_scores_gemma":[0.7579257,0.24158143,0.000009695766,0.00041895016,0.000017564105,0.000022283015,0.0000017561933,0.0000035456733,0.000019085435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99878615,0.000040830946,0.0007935445,0.00023199053,0.000019027624,0.00012845387],"domain_scores_gemma":[0.997874,0.0009791445,0.0007031372,0.0003706407,0.00006259531,0.000010453845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012223974,0.00013960917,0.0008240477,0.00009477775,0.00008633593,0.000008608204,0.00020524106,0.000033809047,0.000025740748],"category_scores_gemma":[0.0006531091,0.000090019996,0.000050336035,0.00011368219,0.0003332974,0.00006532217,0.00011831021,0.000077038254,0.000003797086],"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":[0.00006331787,0.00003680342,0.38869828,0.0076791337,0.00019851788,8.134244e-8,0.00023003448,0.00017121836,0.0000038931094,0.5991116,0.00026796947,0.0035391413],"study_design_scores_gemma":[0.00042424572,0.00010999017,0.8643558,0.00469043,0.000028851922,3.7533684e-7,0.00018482484,0.00002808272,0.00039894396,0.10466377,0.024902908,0.00021174972],"about_ca_topic_score_codex":0.00034682415,"about_ca_topic_score_gemma":0.0004950934,"teacher_disagreement_score":0.49444786,"about_ca_system_score_codex":0.00006561657,"about_ca_system_score_gemma":0.00003474879,"threshold_uncertainty_score":0.36709088},"labels":[],"label_agreement":null}]}