{"id":"W4383504061","doi":"10.2139/ssrn.4495621","title":"Achieving Surgical, Obstetric, Trauma & Anesthesia (SOTA) Care for All in South Asia","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"South asia; Medicine; Health care; Politics; Economic growth; Political science; Sociology; Economics","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":[0.0006071595,0.0003590707,0.0001571408,0.0004209569,0.001162398,0.001121027,0.000513672,0.0004486969,0.008003411],"category_scores_gemma":[0.001568996,0.0001574297,0.0002418677,0.0008116594,0.0004240735,0.001366268,0.002692143,0.001143878,0.0006462208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304792,"about_ca_system_score_gemma":0.01067284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258642,"about_ca_topic_score_gemma":0.03931227,"domain_scores_codex":[0.9995166,0.0000698917,0.00004427416,0.0000287617,0.00004408536,0.0002963402],"domain_scores_gemma":[0.9986442,0.0001068935,0.0003368762,0.00003937323,0.0001774746,0.0006951956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264728,0.0005129853,0.8022537,0.001272276,0.00009147163,0.002586121,0.01414804,0.0003043035,0.003100334,0.01599297,0.02366433,0.1359471],"study_design_scores_gemma":[0.00003225091,0.0003768675,0.8569804,0.001761475,0.0001041807,0.002483045,0.07171071,0.000371472,0.0008602331,0.007812504,0.05746817,0.00003872103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977928,0.00261709,0.000846095,0.03757028,0.0005159128,0.0001418169,0.001427855,0.0000700079,0.05901813],"genre_scores_gemma":[0.9854762,0.002834579,0.00114534,0.004621067,0.0001348107,0.0001468431,0.0005186687,0.00001710378,0.005105322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02258642,"threshold_uncertainty_score":0.04490989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185170210094433,"score_gpt":0.3085888190850227,"score_spread":0.2767371169840784,"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."}}