{"id":"W3112226585","doi":"10.14745/ccdr.v46i1112a08","title":"Assessing the impact of varying levels of case detection and contact tracing on COVID-19 transmission in Canada during lifting of restrictive closures using a dynamic compartmental model","year":2020,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Statistics Canada; University of Ottawa; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Contact tracing; Quarantine; Public health; Isolation (microbiology); Pandemic; Psychological intervention; Distancing; Social distance; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Environmental health; Medicine; Geography; Infectious disease (medical specialty); Disease; Computer science; Telecommunications; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001283085,0.001198991,0.0008733518,0.0007666262,0.001415948,0.001996984,0.001913457,0.001862815,0.002734702],"category_scores_gemma":[0.004063455,0.0006309448,0.00154661,0.0005433744,0.001244037,0.0007658526,0.00124744,0.00157198,0.0001712252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01474745,"about_ca_system_score_gemma":0.0142152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9022267,"about_ca_topic_score_gemma":0.7807219,"domain_scores_codex":[0.9993511,0.0001577966,0.00001761167,0.0001056903,0.00006514812,0.0003026658],"domain_scores_gemma":[0.9971756,0.001515814,0.0002945735,0.00007726406,0.0006171933,0.0003196367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001235846,0.00005625034,0.01198133,0.00002881663,0.000050625,0.00009483809,0.00005424312,0.9843938,0.0002666187,0.001539191,0.0004016115,0.001009082],"study_design_scores_gemma":[0.00003623845,0.00006513647,0.00439329,0.00001388992,0.00005862927,0.00001552354,0.0001691614,0.9942428,0.0001246762,0.0004684786,0.0003908799,0.00002132699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736977,0.0004893218,0.01324904,0.001057029,0.00006429514,0.0001468122,0.002014091,0.0001169421,0.009164863],"genre_scores_gemma":[0.994231,0.0001856186,0.002227531,0.00007292764,0.000006912164,0.0000454031,0.0004844949,0.0000119955,0.002734166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09777331,"threshold_uncertainty_score":0.1966982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2821056583712088,"score_gpt":0.4452719754113758,"score_spread":0.163166317040167,"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."}}