{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001411042,0.0002628101,0.000891947,0.00002500218,0.0001548904,0.000008126363,0.0004094525,0.0001258952,0.001656508],"category_scores_gemma":[0.1017553,0.0001711002,0.00009636418,0.0003599188,0.00003598698,0.00003097626,0.000627867,0.0004431502,0.00009025649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280893,"about_ca_system_score_gemma":0.001671335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8371449,"about_ca_topic_score_gemma":0.9890513,"domain_scores_codex":[0.9965457,0.001221111,0.0007954458,0.0006261307,0.0001908565,0.0006208005],"domain_scores_gemma":[0.9697224,0.02895583,0.0001604039,0.0007078741,0.00006334081,0.0003901702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005084703,0.00004608764,0.3069158,0.00004164745,0.00008234584,0.0001577238,0.000577951,0.001930866,0.00006597049,0.001743434,0.6873855,0.001001836],"study_design_scores_gemma":[0.0006005662,0.00003112812,0.524892,0.00003667576,0.0000347655,0.0000114766,0.0004693969,0.0005373697,0.00008540079,0.1356509,0.3373464,0.000303939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7764422,0.002342823,0.003156219,0.2158448,0.0003937658,0.0006148197,0.0001679837,0.00006572734,0.0009716468],"genre_scores_gemma":[0.8478156,0.000200509,0.007173926,0.1434087,0.0002115947,0.0002081165,0.00004121708,0.0000258507,0.0009144157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3500391,"threshold_uncertainty_score":0.9992561,"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."}}