{"id":"W3025351231","doi":"10.3386/w10715","title":"How Much Might Universal Health Insurance Reduce Socioeconomic Disparities in Health? A Comparison of the US and Canada","year":2004,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Health equity; Health insurance; Environmental health; Actuarial science; Business; Demographic economics; Economics; Health care; Medicine; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001539761,0.0002525676,0.0006580994,0.001453332,0.002660699,0.001539229,0.001019905,0.0007914542,0.006359173],"category_scores_gemma":[0.008726278,0.0001230657,0.0007408567,0.003610611,0.0009960168,0.0006991986,0.001284893,0.0008457691,0.0001785593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0366293,"about_ca_system_score_gemma":0.0787627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930821,"about_ca_topic_score_gemma":0.9971429,"domain_scores_codex":[0.9982161,0.0001683543,0.00003519325,0.0001078629,0.0005090063,0.0009634362],"domain_scores_gemma":[0.9975911,0.0003513515,0.0001572755,0.0001100276,0.0009633102,0.0008269495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002152435,0.0006084907,0.4540504,0.0007294553,0.0007936689,0.0006071147,0.003378369,0.006576995,0.001050028,0.07539126,0.1164883,0.3381735],"study_design_scores_gemma":[0.0006722003,0.0002354053,0.8986714,0.0006610232,0.001079767,0.00015712,0.007537371,0.004845347,0.001199605,0.01231551,0.07254594,0.00007928348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.766107,0.01792342,0.0005763379,0.08686588,0.0003590288,0.0001530891,0.008011369,0.00009109698,0.1199128],"genre_scores_gemma":[0.9866938,0.003751718,0.0006003274,0.003779006,0.00005633765,0.00002466431,0.0008309938,0.00001384677,0.00424921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366293,"threshold_uncertainty_score":0.2657654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2734173602390691,"score_gpt":0.5661716061803104,"score_spread":0.2927542459412413,"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."}}