{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"ac49e0975cae","filters":{"venue":"Population and Economics"}},"results":[{"id":"W3015581704","doi":"10.3897/popecon.4.e50338","title":"Towards gender equality in the labour markets of Canada, USA and Russia: an overview of progress in achievement of international commitments","year":2020,"lang":"en","type":"article","venue":"Population and Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Gender equality; Work (physics); Order (exchange); Political science; Economic growth; Labour economics; Demographic economics; Economics; Sociology; Gender studies","authors":[{"name":"Maria Beletskaya","is_ca":true},{"name":"Elena A. Zotova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1392737842925402,"gpt":0.3548522268874987,"spread":0.2155784425949585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005988948,0.00004224882,0.0001276588,0.00002850115,0.00002728114,0.000009698539,0.0001042195,0.00002735467,0.00003843429],"category_scores_gemma":[0.0000139327,0.00003920456,0.0000112502,0.00004552199,0.00005762313,0.0001178615,0.0000318284,0.0000308232,5.223892e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051183,"about_ca_system_score_gemma":0.0001153328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1043482,"about_ca_topic_score_gemma":0.3302089,"domain_scores_codex":[0.9993706,0.00009547685,0.0003017622,0.0000887831,0.00007627532,0.00006710826],"domain_scores_gemma":[0.9997151,0.00002673411,0.0001722047,0.00003980501,0.00001259974,0.00003357636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001565727,0.00002714247,0.9296129,0.00002182228,0.00001103692,9.945884e-8,0.005634874,0.00002202474,2.313284e-7,0.05821964,0.00001297511,0.006421646],"study_design_scores_gemma":[0.0002571709,0.000006541065,0.9944997,0.000006534344,0.000001765186,6.193329e-8,0.001921488,0.0005444257,0.000002356275,0.001305723,0.0014183,0.0000359693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945096,0.0001224367,0.000001680152,0.004030894,0.00004479668,0.00009677341,0.00002736982,8.404802e-7,0.001165542],"genre_scores_gemma":[0.9991579,0.0003622024,0.0001907415,0.0002414063,0.00001192548,0.000004020186,0.00001712082,0.000001826783,0.00001283033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258606,"threshold_uncertainty_score":0.901616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226150631","doi":"10.3897/popecon.6.e78235","title":"Long-term dynamics of informal employment and its relationship with the poverty of the Russian population against the backdrop of the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Population and Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Research University Higher School of Economics","keywords":"Casual; Informal sector; Poverty; Vocational education; Labour economics; Wage; Population; Demographic economics; Economics; Quarter (Canadian coin); Work (physics); Business; Economic growth; Political science; Sociology; Geography","authors":[{"name":"Svetlana Biryukova","is_ca":false},{"name":"Oxana Sinyavskaya","is_ca":false},{"name":"Daria E. Kareva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06821250825290748,"gpt":0.3413514102405566,"spread":0.2731389019876491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006054376,0.00009872137,0.0001698051,0.00003738639,0.001520191,0.000006087299,0.0001623514,0.00004932467,0.00002665402],"category_scores_gemma":[0.0000646323,0.00004638682,0.00004927762,0.0001245566,0.00008819281,0.0001048001,0.0002897856,0.0002449603,2.829847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550393,"about_ca_system_score_gemma":0.00006932118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006268803,"about_ca_topic_score_gemma":0.007937634,"domain_scores_codex":[0.9988973,0.0002627486,0.0004878963,0.0001071689,0.0001144746,0.0001304567],"domain_scores_gemma":[0.9987017,0.0002853988,0.0007131507,0.0002457548,0.00002363118,0.00003039225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000560016,0.00001035202,0.9599973,0.00006464647,0.00002440512,1.38394e-8,0.003045985,0.002720084,0.000001046484,0.03374493,0.00005166929,0.000283544],"study_design_scores_gemma":[0.000477459,0.00002921864,0.9938019,0.00002111549,0.00004139992,0.000001449531,0.001415579,0.002860437,7.527026e-7,0.0009581237,0.0003341619,0.00005841704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862804,0.00009867892,0.00001854393,0.01214799,0.0001745778,0.0007648022,0.00009705258,0.000008708222,0.0004092646],"genre_scores_gemma":[0.9981261,0.0001011839,0.000003974098,0.001249884,0.00002285252,0.00004048386,0.00006776371,0.000009868716,0.000377846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03380457,"threshold_uncertainty_score":0.9997797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994221510","doi":"10.3897/popecon.2.e36041","title":"CYCLIC FLUCTUATIONS OF THE RUSSIAN AND FOREIGN LABOUR MARKET INDICATORS: IN SEARCH FOR NON-STANDARD REACTIONS","year":2018,"lang":"en","type":"article","venue":"Population and Economics","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Workforce; Economics; Labour economics; Work (physics); Macroeconomics; Geography; Economic growth","authors":[{"name":"Aleksey Semenkov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02410546034458748,"gpt":0.2336012887595416,"spread":0.2094958284149541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003900213,0.00007328264,0.0001721833,0.0003284009,0.0001250562,0.00005681786,0.0000620289,0.00006191526,0.00007472294],"category_scores_gemma":[0.00002151918,0.00007606429,0.00003405623,0.0001424991,0.00006321366,0.0003974018,0.00002268677,0.00004441327,0.000006906414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006666266,"about_ca_system_score_gemma":0.00001589379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061551,"about_ca_topic_score_gemma":0.0002423687,"domain_scores_codex":[0.9991938,0.000004988446,0.0005060647,0.0001627484,0.000009487064,0.0001229472],"domain_scores_gemma":[0.9996243,0.00003706536,0.0001840367,0.0001082034,0.000008566517,0.00003785668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002092031,0.000008918531,0.466262,0.00002771345,0.000009737778,6.299229e-9,0.0004347326,0.0000156632,0.000001408875,0.5312302,0.00002901721,0.001959688],"study_design_scores_gemma":[0.0005970579,0.00002608748,0.8943416,0.0000136427,0.00000211048,9.275754e-7,0.000122494,0.006929405,0.0001029534,0.09002724,0.00773354,0.0001028837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942977,0.00002411123,0.0006163847,0.0004711342,0.0001234579,0.0003064486,0.0001857171,0.000006162158,0.05528963],"genre_scores_gemma":[0.9983839,0.0001260534,0.0007464051,0.00007412806,0.00004041098,0.00002149277,0.00003108405,0.00000944068,0.0005670522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4412029,"threshold_uncertainty_score":0.3101812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}