{"id":"W3079188849","doi":"10.5334/aogh.2948","title":"Annual Primary Care 2030 Convening: Creating an Enabling Ecosystem for Person-Centered Primary Healthcare Models to Achieve Universal Health Coverage in Low- and Middle-Income Countries","year":2020,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Reach Technologies (Canada)","funders":"","keywords":"Declaration; Health care; Universal design; Primary health care; Politics; General assembly; Public relations; Global health; Business; Political science; Economic growth; Computer science; Economics; Law","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":[0.03113708,0.0005041416,0.0002609441,0.0005239208,0.01040373,0.006830107,0.001661827,0.004277648,0.01317667],"category_scores_gemma":[0.01497247,0.0005070365,0.0008344969,0.0004927684,0.006674076,0.005106873,0.01608211,0.006820879,0.001549069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006376808,"about_ca_system_score_gemma":0.03721456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009420569,"about_ca_topic_score_gemma":0.017008,"domain_scores_codex":[0.982028,0.01261488,0.0003460455,0.0008864038,0.001297491,0.002827215],"domain_scores_gemma":[0.9825556,0.003892974,0.0007592615,0.001096738,0.001592349,0.01010302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002044984,0.0006390146,0.02646258,0.002512784,0.00009174331,0.004698279,0.2548164,0.001287559,0.005408563,0.1626866,0.3618427,0.1793493],"study_design_scores_gemma":[0.00005396335,0.0003502755,0.01335425,0.001189522,0.00003001288,0.0004975082,0.06913452,0.0005704536,0.0008292108,0.01940824,0.8945261,0.00005586174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1510402,0.006400382,0.03866901,0.5796891,0.01248208,0.002782668,0.001111993,0.000625769,0.2071988],"genre_scores_gemma":[0.848914,0.003047205,0.04563996,0.06790848,0.00173886,0.00200941,0.0007673727,0.0002602898,0.02971439],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03113708,"threshold_uncertainty_score":0.1646706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050129348365561,"score_gpt":0.3087016151920438,"score_spread":0.2036886803554877,"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."}}