{"id":"W2782311721","doi":"10.14745/ccdr.v44i01a04","title":"Canada’s Pandemic Influenza Preparedness: Surveillance strategy","year":2018,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Preparedness; Pandemic; Disease surveillance; Medical emergency; Medicine; Environmental health; Coronavirus disease 2019 (COVID-19); Political science; Disease; Public health; Infectious disease (medical specialty); Nursing","routes":{"ca_aff":false,"ca_fund":true,"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":[0.007504179,0.001611937,0.00059137,0.005874318,0.004778958,0.005343476,0.003575111,0.002049145,0.009738657],"category_scores_gemma":[0.01083858,0.0008494277,0.001192938,0.006661234,0.001034251,0.001415124,0.002685694,0.002494615,0.002892279],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1764333,"about_ca_system_score_gemma":0.6026166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962434,"about_ca_topic_score_gemma":0.995261,"domain_scores_codex":[0.9915074,0.0007765544,0.0004325118,0.000455543,0.005048965,0.001778965],"domain_scores_gemma":[0.9755106,0.0006622545,0.000597433,0.0003071807,0.0176339,0.005288681],"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":[0.00007207149,0.00009161539,0.0098139,0.0007353841,0.00006163766,0.0001344771,0.0004672467,0.001676558,0.0004541313,0.0151027,0.8756421,0.09574819],"study_design_scores_gemma":[0.00007255511,0.00005264867,0.03705123,0.0008229165,0.00005671826,0.00007812563,0.0007052666,0.001906824,0.0003585455,0.001175382,0.9576345,0.00008530431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01579038,0.02225488,0.01625283,0.309874,0.004047989,0.009838417,0.2687679,0.003786528,0.3493871],"genre_scores_gemma":[0.2124562,0.04352196,0.1212816,0.1223505,0.001567509,0.005811328,0.2643935,0.0007695036,0.2278479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1764333,"threshold_uncertainty_score":0.9552206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921419110767963,"score_gpt":0.2979343382069017,"score_spread":0.268720147099222,"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."}}