{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0175105,0.0002468726,0.001105028,0.0004512374,0.0006190373,0.000006889625,0.0006897469,0.0004433523,0.00009532631],"category_scores_gemma":[0.005557708,0.0002056919,0.0001914544,0.0003460136,0.0002848007,0.00009703026,0.0003002463,0.001762145,0.00006587646],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004524739,"about_ca_system_score_gemma":0.0192719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502206,"about_ca_topic_score_gemma":0.002301421,"domain_scores_codex":[0.9893495,0.002637581,0.0033192,0.0005603242,0.003362915,0.0007704264],"domain_scores_gemma":[0.9866219,0.006858214,0.002853496,0.0005372635,0.002904913,0.0002242202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001027874,0.0002876827,0.5575072,0.05849996,0.001496053,0.000005419009,0.005511502,0.0002968799,0.000266534,0.1034921,0.2677875,0.003821333],"study_design_scores_gemma":[0.002349357,0.000768776,0.9398046,0.003940856,0.0000298967,0.000002408332,0.002597207,0.00003349187,0.0004808307,0.03913492,0.0106225,0.0002352099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453045,0.007775269,0.000002008904,0.004911974,0.002096746,0.005925479,0.001028227,0.0000452021,0.03291067],"genre_scores_gemma":[0.9907544,0.007609473,0.00003580446,0.0002332159,0.000566626,0.0004251129,0.000218826,0.00004212932,0.0001143939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3822974,"threshold_uncertainty_score":0.9992967,"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."}}