{"id":"W1983742341","doi":"10.2105/ajph.92.2.196","title":"Improving Global Public Health Leadership Through Training in Epidemiology and Public Health: The Experience of TEPHINET","year":2002,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Epidemiology; Environmental health; Training (meteorology); Medicine; Political science; Public relations; Geography; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04014654,0.0009358934,0.0003923534,0.001179544,0.00571353,0.005649401,0.002169385,0.002605245,0.007830997],"category_scores_gemma":[0.02676165,0.0007295579,0.0005232976,0.001189807,0.006811762,0.006528432,0.01419119,0.009908705,0.001255736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756551,"about_ca_system_score_gemma":0.022031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982208,"about_ca_topic_score_gemma":0.004549719,"domain_scores_codex":[0.9732828,0.0214804,0.0004253295,0.0007431782,0.001336341,0.002732029],"domain_scores_gemma":[0.9509372,0.01777333,0.001409173,0.00207565,0.003798157,0.02400646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000557602,0.002559604,0.01009461,0.00275209,0.00005897159,0.003711401,0.1971186,0.001275902,0.002648897,0.02932136,0.2701487,0.4797522],"study_design_scores_gemma":[0.0001730595,0.001283639,0.008189372,0.003667264,0.00001738226,0.002507817,0.1254354,0.001052847,0.001795884,0.0251025,0.8306562,0.0001187577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2078998,0.04094651,0.0368012,0.557313,0.01545469,0.002303072,0.0003521812,0.0007389128,0.1381905],"genre_scores_gemma":[0.6625355,0.04229411,0.08253719,0.1477195,0.005956678,0.0026055,0.0004878168,0.001108279,0.05475526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04014654,"threshold_uncertainty_score":0.2123178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4642365509669207,"score_gpt":0.4563485443069131,"score_spread":0.007888006660007607,"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."}}