{"id":"W2890329397","doi":"10.3386/w19220","title":"Public Health Insurance, Labor Supply, and Employment Lock","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Booth School of Business, University of Chicago; University of Chicago","keywords":"Health insurance; Business; Public health; Demographic economics; Public health insurance; Job loss; Income protection insurance; Labour economics; Self-insurance; Health care; Actuarial science; Environmental health; Economics; Unemployment; Economic growth; Medicine","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":[0.0009107349,0.000205271,0.0003604864,0.001017888,0.0007358708,0.001081982,0.0005456086,0.0006900734,0.00667652],"category_scores_gemma":[0.004889539,0.0001932246,0.000410194,0.001307544,0.0008803844,0.0007262179,0.001470492,0.001024509,0.0003767833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767658,"about_ca_system_score_gemma":0.0009535667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894884,"about_ca_topic_score_gemma":0.02530114,"domain_scores_codex":[0.9996044,0.00009436853,0.00002274468,0.00005034635,0.00006819524,0.0001599755],"domain_scores_gemma":[0.9912072,0.003162324,0.004375644,0.0002370247,0.0001745817,0.0008432984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001931678,0.0004717036,0.9834737,0.00003930577,0.0001418148,0.0002190053,0.0002965534,0.003276482,0.0003746713,0.002619663,0.0007723499,0.008121651],"study_design_scores_gemma":[0.00004597029,0.0002713077,0.9839326,0.00004786221,0.00009365936,0.00007777299,0.001225006,0.007196047,0.0003629217,0.004468165,0.002261936,0.00001677038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960766,0.0004962918,0.0004389199,0.0008081985,0.00001062443,0.00001260299,0.0005078333,0.000007315313,0.001641623],"genre_scores_gemma":[0.998441,0.0002159732,0.00008205607,0.00009047687,0.0000236891,0.00001076725,0.0002978089,0.000001833343,0.0008362338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894884,"threshold_uncertainty_score":0.03767711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5166708668563772,"score_gpt":0.4846674609520497,"score_spread":0.03200340590432749,"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."}}