{"id":"W2037756818","doi":"10.1377/hlthaff.27.4.978","title":"Financing Health Improvements In India","year":2008,"lang":"en","type":"article","venue":"Health Affairs","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagging; Health spending; Psychological intervention; Gross domestic product; Business; Population; Product (mathematics); Economic growth; Public economics; Development economics; Environmental health; Medicine; Economics; Health services; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003325662,0.0003397866,0.0003093598,0.002550322,0.0007893163,0.003999003,0.0007973508,0.001407305,0.006460927],"category_scores_gemma":[0.008712002,0.0002192833,0.0004177606,0.003712337,0.001252981,0.001750154,0.00274375,0.001480415,0.00060709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006574264,"about_ca_system_score_gemma":0.01692895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03507032,"about_ca_topic_score_gemma":0.02369184,"domain_scores_codex":[0.9969766,0.001251241,0.0001248706,0.0001764612,0.0005097171,0.0009610216],"domain_scores_gemma":[0.9955629,0.001613602,0.000846418,0.0003749234,0.0008671532,0.0007349316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002188764,0.0001735462,0.05108109,0.0007763824,0.0001970595,0.0009570609,0.0009236178,0.03788247,0.000773571,0.6405144,0.0879508,0.1785511],"study_design_scores_gemma":[0.0004287489,0.0003956739,0.1530356,0.001427559,0.0002788872,0.001140273,0.00418352,0.03557868,0.001696342,0.2302873,0.5714065,0.0001409501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2993613,0.03032949,0.018614,0.2622498,0.001813909,0.0007252961,0.009956353,0.001074016,0.3758758],"genre_scores_gemma":[0.9690442,0.01025827,0.003414993,0.002561724,0.0006541103,0.0002578844,0.001885677,0.0000285213,0.01189452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03507032,"threshold_uncertainty_score":0.06973231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436763587824458,"score_gpt":0.2639792255279367,"score_spread":0.2203028667454909,"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."}}