{"id":"W3160977895","doi":"10.1139/facets-2021-0029","title":"COVID-19 epidemiology in Canada from January to December 2020: the pre-vaccine era","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto; University of Alberta","funders":"Royal Society of Canada; Public Health Agency of Canada; Alberta Health Services","keywords":"Pandemic; Public health; Epidemiology; Ethnic group; Indigenous; Environmental health; Population; Geography; Medicine; Economic growth; Political science; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Nursing","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":[0.001478939,0.0007884424,0.0006386471,0.006494327,0.004363764,0.003858854,0.001546875,0.0007030804,0.005079989],"category_scores_gemma":[0.004450745,0.0005288777,0.001040988,0.009080093,0.0009541347,0.001107058,0.001968599,0.002055901,0.0006918157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06544032,"about_ca_system_score_gemma":0.1208046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963471,"about_ca_topic_score_gemma":0.9973139,"domain_scores_codex":[0.9976787,0.00009739782,0.0001376695,0.0001659068,0.0009815175,0.0009387731],"domain_scores_gemma":[0.9946098,0.0001812695,0.0006552141,0.0000711871,0.003236831,0.001245652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00038183,0.00008864388,0.5984924,0.003915744,0.0002890297,0.000732644,0.003006349,0.00138218,0.0006690442,0.005021479,0.2207412,0.1652794],"study_design_scores_gemma":[0.00001845295,0.00006833301,0.8575002,0.002868537,0.000107442,0.0006426664,0.003705497,0.00047618,0.0002101568,0.0004393221,0.1338894,0.00007378688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2636037,0.2993437,0.003465238,0.06443983,0.003272196,0.001257133,0.2269629,0.000958495,0.1366969],"genre_scores_gemma":[0.6981729,0.1936377,0.006769521,0.01030235,0.0007086208,0.0003960865,0.06360003,0.000165834,0.02624699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06544032,"threshold_uncertainty_score":0.474805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.190163753465685,"score_gpt":0.4294620822477898,"score_spread":0.2392983287821048,"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."}}