{"id":"W3004764316","doi":"10.1016/j.sciaf.2020.e00309","title":"Outsmarting Ebola through stronger national health systems","year":2020,"lang":"en","type":"article","venue":"Scientific African","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Sierra leone; Outbreak; Ebola virus; Ebola Hemorrhagic Fever; Geography; Democracy; Sri lanka; Socioeconomics; Economic growth; Political science; Virology; Medicine; Environmental planning; Law; Politics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674861,0.00008252737,0.0001846851,0.00008319347,0.0004084391,0.0001826473,0.00008561662,0.00002895471,0.0002106495],"category_scores_gemma":[0.0001724121,0.00006714754,0.00006892299,0.0008125311,0.0001631302,0.000122248,0.00006093256,0.0001949039,0.0003666551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498346,"about_ca_system_score_gemma":0.0005493436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753784,"about_ca_topic_score_gemma":0.00001198135,"domain_scores_codex":[0.9982502,0.00006352392,0.0002492837,0.0003523985,0.0007414601,0.0003431037],"domain_scores_gemma":[0.999217,0.0000270736,0.00007402508,0.0001381543,0.0002672069,0.0002765351],"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":[0.0002074196,0.0006695184,0.01738156,0.0009477827,0.0002462118,0.00005335045,0.02017786,0.001056661,0.06584691,0.02420374,0.8516142,0.01759481],"study_design_scores_gemma":[0.001377951,0.0007637448,0.006916777,0.0001297403,0.00002052987,0.00005372771,0.009563514,0.02411916,0.001474153,0.0001684072,0.9551076,0.0003046436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4945987,0.001968197,0.01618169,0.1122755,0.00471329,0.002876861,0.0003296556,0.0008171194,0.366239],"genre_scores_gemma":[0.9922841,0.000002121486,0.0003513509,0.0005172808,0.0003840035,0.00001726918,0.00003676874,0.00001186246,0.006395278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4976853,"threshold_uncertainty_score":0.4712732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320546740514169,"score_gpt":0.3837223559090286,"score_spread":0.2516676818576118,"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."}}