{"id":"W2984690650","doi":"10.3928/24748307-20190923-01","title":"Significant Disparities Exist in Consumer Health Insurance Literacy: Implications for Health Care Reform","year":2019,"lang":"en","type":"article","venue":"HLRP Health Literacy Research and Practice","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Health care; Logistic regression; Health insurance; Deductible; Medicine; Health literacy; Actuarial science; Environmental health; Health equity; Public health; Business; Gerontology; Demography; Geography; Nursing; Economic growth; Economics","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":[0.009136976,0.0001791743,0.0004355687,0.001358371,0.001334343,0.002164786,0.0008206309,0.0008711456,0.005404603],"category_scores_gemma":[0.02997484,0.0001742979,0.0005674792,0.002065642,0.001970147,0.002873084,0.003035445,0.001614177,0.0001798722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003412193,"about_ca_system_score_gemma":0.007590365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02923412,"about_ca_topic_score_gemma":0.04799072,"domain_scores_codex":[0.995695,0.002197991,0.0002111415,0.0003385305,0.0005529816,0.001004301],"domain_scores_gemma":[0.9880804,0.006886396,0.002094882,0.0003171333,0.001055213,0.001565923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628709,0.0004634873,0.7297513,0.0006830084,0.0002186292,0.0003786078,0.01203943,0.0005209831,0.0002866679,0.02955203,0.02817008,0.1977729],"study_design_scores_gemma":[0.00004776895,0.0001585242,0.931033,0.001959104,0.0001294375,0.0001613252,0.02524984,0.001217664,0.0001920955,0.02155305,0.01826451,0.00003379833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.51014,0.01935018,0.001753599,0.4490136,0.000556308,0.0001983668,0.001172591,0.0000430833,0.01777215],"genre_scores_gemma":[0.9796807,0.004017815,0.000948003,0.01424146,0.0003092918,0.0001155279,0.0002360306,0.000007944555,0.0004433119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02923412,"threshold_uncertainty_score":0.05812788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792176974462319,"score_gpt":0.4861889397119926,"score_spread":0.3069712422657607,"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."}}