{"id":"W3146779271","doi":"10.2139/ssrn.3590899","title":"The Value of Health Insurance During a Crisis: Effects of Medicaid Implementation on Pandemic Influenza Mortality","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Medicaid; Pandemic; Influenza pandemic; Value (mathematics); Coronavirus disease 2019 (COVID-19); Business; Medicine; Environmental health; Actuarial science; Economic growth; Health care; Economics; Internal medicine; Statistics; Infectious disease (medical specialty); Disease","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":[0.00419918,0.0002302482,0.0004086774,0.0005671532,0.001181109,0.002820806,0.001294998,0.002392601,0.006142897],"category_scores_gemma":[0.02308739,0.0002787064,0.001678909,0.0006930811,0.001197658,0.001982117,0.002382007,0.003241055,0.0002488645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754604,"about_ca_system_score_gemma":0.005137166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04615128,"about_ca_topic_score_gemma":0.07085214,"domain_scores_codex":[0.9960432,0.001672431,0.0001404975,0.0001568072,0.0002553946,0.001731659],"domain_scores_gemma":[0.9810861,0.008526616,0.004050961,0.0004154896,0.0008674479,0.005053324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01241537,0.006587598,0.938165,0.0001239753,0.001134966,0.0006518846,0.001505478,0.002981634,0.001040336,0.002479635,0.003545187,0.02936898],"study_design_scores_gemma":[0.0001262478,0.001157787,0.9913589,0.00004652523,0.0002567145,0.00003616115,0.004144464,0.001327807,0.00028744,0.000395298,0.0008431854,0.00001944431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908276,0.0002861253,0.00003479445,0.006025368,0.00006261872,0.00001955727,0.0003296216,0.000004793583,0.002409598],"genre_scores_gemma":[0.9989045,0.0001003954,0.00001934181,0.0003738388,0.0000526726,0.000009319299,0.0001033867,0.000002903756,0.0004337028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04615128,"threshold_uncertainty_score":0.09176528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354852727177814,"score_gpt":0.4371992429842964,"score_spread":0.3936507157125183,"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."}}