{"id":"W3183167303","doi":"10.1016/j.idm.2021.07.002","title":"Estimating the quarantine failure rate for COVID-19","year":2021,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; National Natural Science Foundation of China; Michael Smith Health Research BC; Montclair State University; Natural Science Foundation of Shanghai","keywords":"Quarantine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; China; Failure rate; Incubation period; Demography; Geography; Medicine; Biology; Statistics; Incubation; Virology; Mathematics; Ecology; Disease; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.009774323,0.0008799332,0.0007731352,0.002058392,0.0004397222,0.001024227,0.001628336,0.001140298,0.002563807],"category_scores_gemma":[0.03595148,0.0004584962,0.001619129,0.001540831,0.0005057554,0.001431322,0.0007638042,0.001329053,0.0004359702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577068,"about_ca_system_score_gemma":0.00153349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07754018,"about_ca_topic_score_gemma":0.04118177,"domain_scores_codex":[0.9973102,0.001357937,0.0002455165,0.0004790168,0.0003246425,0.0002826872],"domain_scores_gemma":[0.9831349,0.01011661,0.003479393,0.001175366,0.001878374,0.0002154625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000246909,0.0001592765,0.6277532,0.0003828157,0.0005278778,0.0004566341,0.0008098751,0.292269,0.001932407,0.01789068,0.004726294,0.05284512],"study_design_scores_gemma":[0.00005008471,0.0003116028,0.1991444,0.0003068763,0.0002828469,0.0004733496,0.0007498605,0.7772624,0.001599394,0.01384912,0.005869159,0.0001009155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7942139,0.001788591,0.1885041,0.001443894,0.00009115419,0.0005649719,0.005443411,0.0002375647,0.007712369],"genre_scores_gemma":[0.9711341,0.0006187565,0.02401687,0.00009810561,0.000023727,0.0001898116,0.002328324,0.00003344321,0.001556758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07754018,"threshold_uncertainty_score":0.1541777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2235751032283607,"score_gpt":0.4168612462926217,"score_spread":0.193286143064261,"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."}}