{"id":"W1724365492","doi":"","title":"Restoring Health to Health Reform: Integrating Medicine and Public Health to Advance the Population's Well-Being","year":2011,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health policy; Public health; Health care; International health; HRHIS; Health care reform; Health promotion; Population health; Health equity; Patient Protection and Affordable Care Act; Population; Business; Health education; Health law; Medicine; Environmental health; Economic growth; Nursing; Economics; Medicaid","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008373556,0.000337667,0.0007482158,0.0003182333,0.004791559,0.00004735685,0.0004765482,0.0001396731,0.0002539894],"category_scores_gemma":[0.001521375,0.0002404202,0.00004562653,0.001065325,0.00008212571,0.0005661228,0.0002798891,0.001282338,0.0002417465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003490479,"about_ca_system_score_gemma":0.002369513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4395886,"about_ca_topic_score_gemma":0.1082127,"domain_scores_codex":[0.9932863,0.001505572,0.001756455,0.0006592144,0.0005772155,0.00221523],"domain_scores_gemma":[0.9944592,0.0003651855,0.0008404501,0.000999846,0.0002724351,0.003062882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007068343,0.0001283316,0.07757376,0.001516789,0.00002875188,0.00000107548,0.2124495,0.00001173294,0.000006508223,0.5066447,0.1498846,0.05168348],"study_design_scores_gemma":[0.0004893889,0.0006999771,0.1432876,0.001508252,0.000002732676,0.000006201843,0.0429362,0.00003140054,7.31711e-7,0.002069135,0.8087084,0.0002598985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.123859,0.001716421,0.002385623,0.8447711,0.003695183,0.00347273,0.0000178334,0.0003531129,0.01972901],"genre_scores_gemma":[0.6133906,0.0006973318,0.008451958,0.3717607,0.002734155,0.0005495346,0.00006546346,0.00008951456,0.002260787],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6588238,"threshold_uncertainty_score":0.9965041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09014173753383203,"score_gpt":0.4262823644849985,"score_spread":0.3361406269511665,"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."}}