{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004952925,0.0003910792,0.0007294847,0.00005727316,0.0003546936,0.00004716127,0.0007080041,0.00007459183,0.000554916],"category_scores_gemma":[0.001457287,0.0003909209,0.00009997102,0.0004702058,0.0003193385,0.0001448924,0.0003617081,0.0003469886,0.00001206009],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194374,"about_ca_system_score_gemma":0.08551802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955663,"about_ca_topic_score_gemma":0.9996824,"domain_scores_codex":[0.996346,0.0002136972,0.0008948586,0.0006530045,0.001116881,0.0007755344],"domain_scores_gemma":[0.9925815,0.0001661047,0.000384789,0.004203009,0.001045338,0.001619209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003610597,0.00009633113,0.6735973,0.0001522282,0.0002088079,0.006631767,0.00001715993,0.00005838334,0.0000493346,0.00004052522,0.3178794,0.0009077744],"study_design_scores_gemma":[0.0006361328,0.00003155378,0.4484788,0.0001057161,0.00006824833,0.0003261381,0.0001135038,0.0002779222,0.00001601604,0.0000205136,0.5496141,0.000311378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554607,0.004462819,0.00001354518,0.0009111597,0.0006527638,0.0008588306,0.001991934,0.0003243131,0.03532398],"genre_scores_gemma":[0.991443,0.00009056477,0.00006116293,0.004253038,0.0002177674,0.00006408979,0.00146144,0.00006895758,0.002339945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2317347,"threshold_uncertainty_score":0.9998543,"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."}}