{"id":"W4399986808","doi":"10.3386/w32612","title":"One Cohort at a Time: A New Perspective on the Declining Gender Pay Gap","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cohort; Gender pay gap; Demographic economics; Demography; Economics; Sociology; Labour economics; Computer science; Statistics; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024702,0.0002691964,0.0006251361,0.001540377,0.001017848,0.001899721,0.0007773634,0.0007911292,0.008692488],"category_scores_gemma":[0.005943396,0.0001349966,0.000640693,0.001122787,0.001352338,0.002393009,0.001404202,0.001221712,0.0004759055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197489,"about_ca_system_score_gemma":0.001847385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070644,"about_ca_topic_score_gemma":0.02657588,"domain_scores_codex":[0.9993625,0.0001646143,0.00002293928,0.0001687337,0.0001038549,0.0001772013],"domain_scores_gemma":[0.9977298,0.001101576,0.000458645,0.0001754038,0.0001736843,0.0003609031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003253268,0.000160341,0.6494709,0.0002102797,0.00010052,0.001462729,0.02259435,0.002780573,0.00100514,0.2140873,0.008575435,0.09922712],"study_design_scores_gemma":[0.00004669612,0.0005445068,0.7445621,0.0004750636,0.0001505002,0.001311843,0.04487245,0.006897312,0.0007022619,0.09711198,0.1032338,0.00009138595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094861,0.01110237,0.009211067,0.03330611,0.0004402672,0.00002923812,0.001692105,0.00004271485,0.0346899],"genre_scores_gemma":[0.9903492,0.003036274,0.0009343983,0.001459771,0.0002623244,0.00001657013,0.0002285269,0.0000211282,0.003691964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03070644,"threshold_uncertainty_score":0.06105542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4345442835076472,"score_gpt":0.5302683436242822,"score_spread":0.09572406011663498,"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."}}