{"id":"W3022623523","doi":"10.22146/apfm.v18i1.216","title":"Preparing for COVID-19: The lessons from SARS 2003 in Canada","year":2020,"lang":"en","type":"article","venue":"Asia Pacific Family Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"","keywords":"Medicine; Sore throat; Coronavirus disease 2019 (COVID-19); Nose; Nasal congestion; Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Infectious disease (medical specialty); Pandemic; 2019-20 coronavirus outbreak; Dry cough; Intensive care medicine; Throat; Diarrhea; Virology; Internal medicine; Surgery; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627396,0.0001617773,0.0003339356,0.00004789214,0.0003067576,0.000004346211,0.0003152307,0.00005715834,0.0001949825],"category_scores_gemma":[0.00170141,0.0001065548,0.00002449363,0.000409588,0.00006257122,0.00004201837,0.0001120708,0.0003260725,0.00004240929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760795,"about_ca_system_score_gemma":0.002566117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7844853,"about_ca_topic_score_gemma":0.7490734,"domain_scores_codex":[0.9979975,0.0003615021,0.000507683,0.0003572039,0.0003084388,0.0004677265],"domain_scores_gemma":[0.9981168,0.0009620246,0.0001399729,0.000391133,0.00005100443,0.0003390962],"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":[0.0003550374,0.00001080153,0.003749016,0.0001422974,0.00004249446,0.00003179878,0.02000392,0.00003575961,0.0002653996,0.001765864,0.9707287,0.002868938],"study_design_scores_gemma":[0.001573323,0.00006280786,0.007041041,0.0001323875,0.00003562756,1.673275e-7,0.2105863,0.0006365004,0.000003783077,0.0002730917,0.7795603,0.00009462838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1143451,0.001916158,0.01223951,0.5814297,0.003862251,0.007102684,0.0003522715,0.0001845103,0.2785678],"genre_scores_gemma":[0.9336564,0.0001229377,0.0001097742,0.06272621,0.0003417957,0.0004762536,0.00009551028,0.00002652554,0.002444609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8193113,"threshold_uncertainty_score":0.4552181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719654258912101,"score_gpt":0.4274596800277758,"score_spread":0.2554942541365657,"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."}}