{"id":"W1555034039","doi":"10.3386/w9732","title":"Fifty Years of Mincer Earnings Regressions","year":2003,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":355,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Economics; Econometrics; Rate of return; Population; Cornerstone; Actuarial science; Accounting; Geography; Finance; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00905799,0.001311424,0.00130967,0.004833615,0.0008283391,0.003551282,0.00162817,0.000767879,0.01034908],"category_scores_gemma":[0.04326668,0.0007733727,0.001474453,0.00759572,0.001269387,0.003601233,0.002444976,0.002749932,0.004567018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167627,"about_ca_system_score_gemma":0.001479422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146834,"about_ca_topic_score_gemma":0.009071551,"domain_scores_codex":[0.9962887,0.001405903,0.0003341376,0.0007007656,0.001056963,0.0002137039],"domain_scores_gemma":[0.9803699,0.01112139,0.001925003,0.003252661,0.002989454,0.0003416187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00019751,0.0002228027,0.07847081,0.0005157121,0.0008085264,0.0003507787,0.0005043559,0.04155273,0.0002444714,0.1964065,0.08158614,0.5991396],"study_design_scores_gemma":[0.00006356985,0.00024537,0.09638014,0.001873472,0.0004837387,0.0006219632,0.0006019413,0.09969888,0.001795961,0.1680467,0.6299581,0.0002301449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1904472,0.2231621,0.3405925,0.0302822,0.004421588,0.000425118,0.02083659,0.003052037,0.1867807],"genre_scores_gemma":[0.6414506,0.1490745,0.0775528,0.005563632,0.007279078,0.0003828242,0.02690895,0.002022116,0.08976548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0146834,"threshold_uncertainty_score":0.04790378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4261931608926481,"score_gpt":0.4786065707334028,"score_spread":0.05241340984075471,"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."}}