{"id":"W3181216097","doi":"10.1038/s41597-021-00955-2","title":"A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada","year":2021,"lang":"en","type":"article","venue":"Scientific Data","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Medical Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Dashboard; Public health; Epidemiology; Outbreak; Vaccination; Open data; Geography; Political science; Medicine; Database; Computer science; World Wide Web; Nursing; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001437994,0.0007960924,0.0009339458,0.006566461,0.002952317,0.002377182,0.001975968,0.000770513,0.009421432],"category_scores_gemma":[0.009546505,0.0005687428,0.0008934865,0.01318025,0.0005366816,0.0007359585,0.001615409,0.001329794,0.003187858],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03520795,"about_ca_system_score_gemma":0.1016844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944325,"about_ca_topic_score_gemma":0.9952362,"domain_scores_codex":[0.9980797,0.0001138758,0.0002369768,0.0003605228,0.0007872395,0.0004216117],"domain_scores_gemma":[0.9886132,0.0007160615,0.000781998,0.0006979607,0.007537954,0.001652795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005591601,0.0001248936,0.1154498,0.00153541,0.000336932,0.000346081,0.000840186,0.003050226,0.0007509175,0.003290057,0.8274021,0.04631423],"study_design_scores_gemma":[0.0002774903,0.00006139024,0.3961026,0.001743402,0.0002477768,0.0002497421,0.001796292,0.007248303,0.001370111,0.001312744,0.5892875,0.0003025708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009095409,0.0005220379,0.000738642,0.0006405974,0.00004062066,0.0001990101,0.9844514,0.0003557785,0.003956489],"genre_scores_gemma":[0.04183712,0.0009373331,0.005086993,0.0004204148,0.00002862897,0.0003279044,0.9484171,0.000110578,0.002833925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9647921,"threshold_uncertainty_score":0.2554527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385434489539665,"score_gpt":0.3767589396202392,"score_spread":0.2382154906662727,"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."}}