{"id":"W4413162133","doi":"10.2139/ssrn.5382597","title":"Healthcare Utilization and Labour Market Responses to Health Shocks","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Span (engineering); Life span; Economics; Health care; Labour economics; Medicine; Engineering; Gerontology; Economic growth; Structural engineering","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":[0.001380891,0.0002468073,0.0005004358,0.00102185,0.000446839,0.002601936,0.0004405447,0.002446814,0.01804364],"category_scores_gemma":[0.008764639,0.0003419782,0.000831691,0.001944848,0.0006062161,0.001057438,0.001589639,0.001962874,0.001988181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401445,"about_ca_system_score_gemma":0.0007500594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02449607,"about_ca_topic_score_gemma":0.01979779,"domain_scores_codex":[0.9991327,0.0002203638,0.00004329746,0.0000634695,0.00005365114,0.0004865583],"domain_scores_gemma":[0.9930426,0.003567038,0.001628066,0.0001969995,0.0003074406,0.001257927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002985484,0.00112171,0.9398235,0.000188747,0.0004508442,0.0008597118,0.001718356,0.01046234,0.001204278,0.008158143,0.009844616,0.02318223],"study_design_scores_gemma":[0.00006486833,0.0002629651,0.9777011,0.0000568535,0.0000904643,0.00009022968,0.00546713,0.006710268,0.0002322809,0.00611356,0.003176758,0.00003345568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9852031,0.001055409,0.000180145,0.006844047,0.0001001928,0.00001644349,0.002378291,0.00002512892,0.004197129],"genre_scores_gemma":[0.9942701,0.0004483853,0.00002360875,0.0003059111,0.0001088804,0.000008876708,0.0007841644,0.000008848665,0.004041162],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02449607,"threshold_uncertainty_score":0.06036198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875010022948841,"score_gpt":0.4639758050791007,"score_spread":0.4052257048496123,"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."}}