{"id":"W1482797281","doi":"10.1590/s0104-12902015s01014","title":"Evidence on equity, governance and financing after health care reform in Mexico: lessons for Latin American countries","year":2015,"lang":"en","type":"article","venue":"Saúde e Sociedade","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Equity (law); Corporate governance; Health care; Accountability; Public economics; Health equity; Social determinants of health; Politics; Democratization; Political science; Health policy; Public administration; Latin Americans; Business; Democracy; Finance; Economic growth; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140475,0.0001749604,0.0005540375,0.00007354112,0.000136499,0.00006773085,0.0001613227,0.0001369589,0.000005376269],"category_scores_gemma":[0.0001897519,0.0001561723,0.00007816087,0.000210634,0.0001186231,0.0002244606,0.0001029246,0.0002773644,0.00003358427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120488,"about_ca_system_score_gemma":0.0002811403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566227,"about_ca_topic_score_gemma":0.00606614,"domain_scores_codex":[0.9982795,0.00002116564,0.0006145384,0.0004416942,0.00009216318,0.0005509778],"domain_scores_gemma":[0.9989784,0.00004892257,0.0004631374,0.000268076,0.00005202504,0.0001893886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003292563,0.00009149777,0.48475,0.001836334,0.00004593695,0.00001216038,0.05116479,0.0000694578,0.000002207605,0.3495908,0.003050878,0.1090567],"study_design_scores_gemma":[0.001313212,0.001003901,0.8796964,0.001113807,0.000002090272,0.000003406598,0.008688259,0.0002395827,0.00003007206,0.007837532,0.09948451,0.0005871732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706003,0.0462495,0.0007084938,0.06989545,0.001015989,0.001459366,0.001086647,0.00007829086,0.008905913],"genre_scores_gemma":[0.9942106,0.001874925,0.000566941,0.002590035,0.0001519885,0.0001385197,0.000007824806,0.00002837462,0.0004307638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949465,"threshold_uncertainty_score":0.9908925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271478697673264,"score_gpt":0.3546364570074206,"score_spread":0.2274885872400942,"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."}}