{"id":"W2897061661","doi":"10.1093/infdis/jiy366","title":"Contribution of Environment Sample-Based Detection to Ebola Outbreak Management","year":2018,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université Laval","funders":"World Health Organization","keywords":"Outbreak; Ebola virus; Virology; Ebolavirus; Transmission (telecommunications); Polymerase chain reaction; Reverse transcription polymerase chain reaction; Real-time polymerase chain reaction; Biology; Medicine; Messenger RNA; Computer science; Gene; Genetics","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":[0.003715051,0.001001954,0.0007590276,0.001933774,0.0005321872,0.002354396,0.0008448996,0.0006061915,0.0005010886],"category_scores_gemma":[0.006547668,0.0004227991,0.0002560557,0.0009143044,0.0004809141,0.001249893,0.001268633,0.0005728525,0.0003449214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004363097,"about_ca_system_score_gemma":0.001016565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989875,"about_ca_topic_score_gemma":0.007779671,"domain_scores_codex":[0.995297,0.002600018,0.0003248981,0.0005648434,0.001016494,0.0001967865],"domain_scores_gemma":[0.9957454,0.001219113,0.0009786342,0.0003342417,0.00151256,0.0002101854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004998232,0.0005421575,0.7203474,0.001108558,0.0002801903,0.001011073,0.001306532,0.002576013,0.05581733,0.0004195924,0.002028851,0.2140626],"study_design_scores_gemma":[0.00007156042,0.003033303,0.7381821,0.0017339,0.0008773354,0.003782109,0.01389006,0.04668209,0.135659,0.003526577,0.05230335,0.000258578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057499,0.01131605,0.06639221,0.001946081,0.0005086188,0.0009107062,0.001820696,0.0004236405,0.01093208],"genre_scores_gemma":[0.9310577,0.003363206,0.06234029,0.0005774015,0.0001710022,0.0002086167,0.001022867,0.00007481763,0.00118404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003715051,"threshold_uncertainty_score":0.0196473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102786547930784,"score_gpt":0.2857946251313799,"score_spread":0.2747667596520721,"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."}}