{"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,"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","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002616449,0.0002313634,0.0004758494,0.0003101513,0.0003815602,0.00009875865,0.0004998446,0.0002636134,0.002273691],"category_scores_gemma":[0.00008486651,0.000239917,0.0001304415,0.0004286282,0.00005882535,0.0001820478,0.000292075,0.001748963,0.00004026683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374571,"about_ca_system_score_gemma":0.00004784544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009555579,"about_ca_topic_score_gemma":0.000619948,"domain_scores_codex":[0.9977977,0.0001128455,0.0009091349,0.0006212588,0.00015867,0.0004003904],"domain_scores_gemma":[0.9988113,0.00004686101,0.0004240997,0.0005814919,0.00005281658,0.00008342388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000148517,0.0001091516,0.5831369,0.00001370777,0.000009926945,0.0000283384,0.0005873746,0.00005531798,0.000006866607,0.415712,0.0003159711,0.000009635578],"study_design_scores_gemma":[0.0007673076,0.00005101341,0.8352361,0.000004042436,0.000007289224,0.00000577047,0.0001955579,0.0001083256,0.00001024211,0.1529185,0.01029136,0.0004044057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898497,0.001001947,0.00004601575,0.0004553905,0.00108192,0.0002621494,0.001154818,0.00006499435,0.006083054],"genre_scores_gemma":[0.9966413,0.00001621909,0.00009896845,0.001275348,0.0001085548,0.00008382754,0.0001552206,0.00004085263,0.001579666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2627935,"threshold_uncertainty_score":0.9986384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263878743858682,"score_gpt":0.2710635537284778,"score_spread":0.238424766289891,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}