{"id":"W4362487100","doi":"10.3386/w31091","title":"The Health Wedge and Labor Market Inequality","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Booth School of Business, University of Chicago; Laura and John Arnold Foundation; National Science Foundation","keywords":"Wedge (geometry); Inequality; Economics; Labour economics; Mathematics; Geometry; Mathematical analysis","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":[0.0009046299,0.0001662612,0.0001994686,0.000665072,0.0008238715,0.00144354,0.0002950764,0.0006286168,0.00649311],"category_scores_gemma":[0.002548662,0.00009834592,0.0003396301,0.0007366363,0.001475871,0.0009344968,0.001626016,0.000762183,0.000337993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930753,"about_ca_system_score_gemma":0.001229142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0253008,"about_ca_topic_score_gemma":0.02216167,"domain_scores_codex":[0.9994361,0.0002149014,0.00001217029,0.00004865949,0.00006708013,0.0002210855],"domain_scores_gemma":[0.9992735,0.0002986427,0.000166729,0.00005599762,0.00006834048,0.0001367238],"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":[0.0002468085,0.0002417695,0.216037,0.00006552038,0.00008907348,0.0006005538,0.001988044,0.02069899,0.0008045426,0.7037684,0.01036105,0.04509823],"study_design_scores_gemma":[0.0001549654,0.000216257,0.4360193,0.0004045808,0.00006944303,0.0002899006,0.007512475,0.05300245,0.0008843632,0.4480468,0.05334758,0.00005197363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873562,0.002257565,0.004070805,0.02351676,0.0001210161,0.00002909548,0.0007164084,0.00004648979,0.0956799],"genre_scores_gemma":[0.9981232,0.0001881186,0.00008107102,0.0004550651,0.0000300694,0.000005851928,0.00006101311,0.000002313971,0.001053296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0253008,"threshold_uncertainty_score":0.0503071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6937874617472487,"score_gpt":0.6733862752618963,"score_spread":0.02040118648535238,"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."}}