{"id":"W3021577033","doi":"10.3386/w27120","title":"The Value of Health Insurance during a Crisis: Effects of Medicaid Implementation on Pandemic Influenza Mortality","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Carnegie Mellon University; Université de Montréal; National Science Foundation","keywords":"Medicaid; Pandemic; Influenza pandemic; Coronavirus disease 2019 (COVID-19); Value (mathematics); Actuarial science; Business; Medicine; Economics; Economic growth; Health care; Statistics; Internal medicine; Disease; Infectious disease (medical specialty); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002297336,0.0002077236,0.0003893638,0.0004578557,0.0004541602,0.001311154,0.0006719803,0.0009241521,0.00213765],"category_scores_gemma":[0.01182083,0.0001457865,0.0008992022,0.0005441108,0.0005963456,0.001003681,0.001596245,0.001749158,0.0001262866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280796,"about_ca_system_score_gemma":0.001318205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830303,"about_ca_topic_score_gemma":0.02798731,"domain_scores_codex":[0.9982298,0.0008704186,0.00005217836,0.00009549841,0.0001460809,0.0006059944],"domain_scores_gemma":[0.9894338,0.005542777,0.002914322,0.0002046694,0.0004607589,0.00144373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001558412,0.0008479357,0.9740383,0.00004635388,0.0004975216,0.0003857024,0.000313338,0.005919825,0.0008364416,0.001236176,0.001332113,0.01298786],"study_design_scores_gemma":[0.00004369396,0.0005349071,0.990009,0.00002863012,0.0002343316,0.0000508698,0.001254423,0.006341859,0.0004981836,0.000369005,0.0006191403,0.00001600665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969569,0.0001945316,0.00006605462,0.001388278,0.00001412244,0.000008466634,0.0002328309,0.000004144138,0.001134656],"genre_scores_gemma":[0.9993663,0.00008342415,0.00003093239,0.0001681422,0.00001817951,0.000006192338,0.0001100398,0.000001738937,0.0002150646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02830303,"threshold_uncertainty_score":0.05627656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.516099932349899,"score_gpt":0.6865966033382153,"score_spread":0.1704966709883162,"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."}}