{"id":"W2414145494","doi":"10.3201/eid2203.150977","title":"Effects of Response to 2014–2015 Ebola Outbreak on Deaths from Malaria, HIV/AIDS, and Tuberculosis, West Africa","year":2016,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":329,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; University of Toronto; Yale University; National Institutes of Health; National Science Foundation","keywords":"Sierra leone; Outbreak; Malaria; Tuberculosis; Transmission (telecommunications); Ebola virus; Medicine; Environmental health; Mortality rate; Disease; Ebola Hemorrhagic Fever; Virology; Immunology; Socioeconomics; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248555,0.0006382646,0.0004954087,0.0004340432,0.0006063123,0.001184524,0.0008953041,0.001162431,0.002185221],"category_scores_gemma":[0.01524715,0.0003617725,0.001342013,0.0003484913,0.0006525379,0.001371107,0.001551733,0.001472492,0.0002386575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687088,"about_ca_system_score_gemma":0.002183359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08165501,"about_ca_topic_score_gemma":0.05548454,"domain_scores_codex":[0.9981665,0.001112242,0.00006071809,0.0001484441,0.00008067801,0.0004314573],"domain_scores_gemma":[0.9958071,0.002505058,0.0005970128,0.0001501682,0.0003873071,0.0005534294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00288635,0.001301372,0.4849032,0.0002462748,0.001238254,0.0008922048,0.0005509047,0.4735439,0.00133372,0.003505586,0.01092914,0.01866911],"study_design_scores_gemma":[0.0006106449,0.002335588,0.4190269,0.0002463945,0.0008429151,0.0002041574,0.005706471,0.5578177,0.003087139,0.005223995,0.004757189,0.0001408817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928825,0.0002966798,0.0004898948,0.003319267,0.0001386953,0.00005524978,0.001076828,0.00003631793,0.001704465],"genre_scores_gemma":[0.9982174,0.0001512692,0.0002537264,0.0003862238,0.00002638145,0.0000321293,0.0005733052,0.000005634091,0.000353919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08165501,"threshold_uncertainty_score":0.1623595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007326679481573153,"score_gpt":0.2765393774476515,"score_spread":0.2692126979660783,"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."}}