{"id":"W2984325960","doi":"10.1370/afm.2462","title":"The Ecology of Medical Care Before and After the Affordable Care Act: Trends From 2002 to 2016","year":2019,"lang":"en","type":"article","venue":"The Annals of Family Medicine","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Medicine; Medical Expenditure Panel Survey; Specialty; Ethnic group; Population; Poverty; Health care; Family medicine; Medical home; Demography; Environmental health; Gerontology; Primary care; Health insurance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001450313,0.0002548161,0.0006038109,0.003195819,0.0004796796,0.002193281,0.0009813411,0.0009384713,0.002118292],"category_scores_gemma":[0.01157835,0.0003510413,0.0007978118,0.009823689,0.0006605822,0.002539328,0.001732126,0.0017506,0.0004806236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004057901,"about_ca_system_score_gemma":0.003729902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09548876,"about_ca_topic_score_gemma":0.08965942,"domain_scores_codex":[0.9976668,0.0003112039,0.0004215808,0.0004422956,0.0006886086,0.0004694492],"domain_scores_gemma":[0.9874785,0.001268737,0.007214531,0.0002761252,0.002489837,0.001272311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001507378,0.00007933142,0.9706126,0.0002787453,0.0001505901,0.00007483065,0.0009491881,0.0002515304,0.0001106086,0.000993458,0.00512707,0.02122132],"study_design_scores_gemma":[0.000005143684,0.0000351566,0.992433,0.0001411756,0.00001883169,0.0000926664,0.0006079208,0.0002569392,0.00006193056,0.00007370888,0.006264929,0.000008633846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372297,0.01405008,0.0005180957,0.01115372,0.0003003118,0.00008177094,0.02743589,0.0000978655,0.009132553],"genre_scores_gemma":[0.9743173,0.005856363,0.0005047587,0.001345661,0.0004678375,0.00009609257,0.01582975,0.00003911867,0.001543049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09548876,"threshold_uncertainty_score":0.1898659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157983682086469,"score_gpt":0.360028709708691,"score_spread":0.2442303415000441,"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."}}