{"id":"W4401322463","doi":"10.1086/732530","title":"Occupational Choice, Matching, and Earnings Inequality","year":2024,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Earnings; Matching (statistics); Economics; Labour economics; Mathematics; Statistics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001416354,0.0001203656,0.0003775943,0.0002220733,0.00004918786,0.0002200006,0.0001355601,0.00008580241,0.0004111737],"category_scores_gemma":[0.0002905477,0.0001173638,0.0001507224,0.00009825763,0.00007928264,0.0004813915,0.00005362013,0.0003341496,0.00006975732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409301,"about_ca_system_score_gemma":0.00009104691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001774856,"about_ca_topic_score_gemma":0.00000574545,"domain_scores_codex":[0.9984668,0.00002964561,0.0009779019,0.000203723,0.00003747581,0.0002843857],"domain_scores_gemma":[0.9989296,0.0003720032,0.0002705306,0.0001173896,0.0000644192,0.0002460663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000835536,0.00002792251,0.1109802,0.00007109443,0.0000589405,0.00001232202,0.00006671215,0.000003556884,0.000001573249,0.8883922,0.0001538727,0.0002232823],"study_design_scores_gemma":[0.0002082831,0.00005198695,0.225292,0.00003530683,0.000008237733,0.0000423175,0.00002460324,0.0006511535,0.000003041308,0.7061617,0.06739624,0.0001252037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431539,0.000839991,0.007529441,0.004276136,0.0005420489,0.00005221864,0.0001221119,0.00001800049,0.04346612],"genre_scores_gemma":[0.9974888,0.00002948876,0.000677775,0.0009597864,0.000565026,0.000001918791,0.000004227206,0.00001547949,0.0002575021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822305,"threshold_uncertainty_score":0.4785955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695063836416475,"score_gpt":0.2816978473012485,"score_spread":0.2547472089370838,"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."}}