{"id":"W85310954","doi":"10.7748/en2009.09.17.5.16.c7251","title":"Pandemic flu: lessons from the Toronto SARS outbreak","year":2009,"lang":"en","type":"article","venue":"Emergency Nurse","topic":"Disaster Response and Management","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"University of Toronto; Government of Ontario","keywords":"Pandemic; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Geography; Medicine; Medical emergency; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003960124,0.0001731979,0.0001836359,0.00001777946,0.0005338425,0.00000618472,0.0004255039,0.0001031446,0.01031888],"category_scores_gemma":[0.00007203804,0.0001174743,0.0001061825,0.00009835078,0.00002132152,0.000157631,0.00006306687,0.0002545163,0.001938649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206544,"about_ca_system_score_gemma":0.00006448339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003832306,"about_ca_topic_score_gemma":0.007374348,"domain_scores_codex":[0.9981366,0.0004027926,0.0004362017,0.0002938986,0.0002363102,0.0004941375],"domain_scores_gemma":[0.9989396,0.00009144579,0.0001210622,0.00069681,0.00004436389,0.0001067546],"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":[0.0001208543,0.0001333461,0.008572589,0.00000798398,0.00005297851,0.00000496544,0.02486433,0.00000171478,0.0006475822,0.01050643,0.9068698,0.04821738],"study_design_scores_gemma":[0.000460933,0.00005632199,0.1959318,0.00006214365,0.00006634602,2.090008e-7,0.01851446,0.00002290516,0.000006897763,0.005733628,0.7789662,0.0001781434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5181102,0.003118763,0.0006226212,0.03158538,0.006875013,0.001366855,0.00009591378,0.0003569763,0.4378683],"genre_scores_gemma":[0.9048923,0.001076915,0.00008626527,0.006368292,0.0008627396,0.000120624,0.00005446794,0.00002785017,0.08651055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867821,"threshold_uncertainty_score":0.9988385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07797568063405035,"score_gpt":0.4517975018107462,"score_spread":0.3738218211766958,"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."}}