{"id":"W4296261087","doi":"10.1503/cmaj.220577","title":"A better normal in Canada will need a better detection system for emerging and re-emerging respiratory pathogens","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Outbreak; Public health; Coronavirus disease 2019 (COVID-19); Middle East respiratory syndrome; Public health surveillance; 2019-20 coronavirus outbreak; Infectious disease (medical specialty); Disease surveillance; Medicine; Computer science; Data science; Environmental health; Disease; Virology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006868395,0.001305932,0.001030012,0.003282833,0.005932731,0.007219494,0.004494651,0.002368252,0.04238915],"category_scores_gemma":[0.02121686,0.0006191172,0.001528878,0.003139235,0.00183374,0.004506987,0.003980477,0.005332115,0.01057485],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06340886,"about_ca_system_score_gemma":0.1732147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746614,"about_ca_topic_score_gemma":0.9798623,"domain_scores_codex":[0.9935427,0.0009703767,0.0003218635,0.0007599878,0.002994236,0.001410818],"domain_scores_gemma":[0.9345049,0.003555308,0.002563578,0.001669011,0.04689029,0.01081699],"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":[0.0001675643,0.0002377078,0.06401748,0.0006536196,0.0001093367,0.0001875853,0.0005720698,0.001240045,0.001493131,0.007342875,0.7377787,0.1862],"study_design_scores_gemma":[0.0001603031,0.0002705725,0.1081326,0.002907274,0.0002143377,0.000350692,0.004589421,0.008793413,0.002768521,0.01100035,0.8603386,0.0004739282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03801491,0.01776731,0.04856431,0.6643424,0.01082861,0.001758334,0.07710068,0.01286675,0.1287566],"genre_scores_gemma":[0.293022,0.02100129,0.1934725,0.3122336,0.004859199,0.001130884,0.05913289,0.002430668,0.1127169],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9365911,"threshold_uncertainty_score":0.4600656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995978724998947,"score_gpt":0.2141826170129924,"score_spread":0.2081866382879935,"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."}}