{"id":"W2781966411","doi":"10.14745/ccdr.v44i01a01","title":"Federal, provincial and territorial public health response plan for biological events","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":"Response Biomedical (Canada); Public Health Agency of Canada","funders":"","keywords":"Public health; Plan (archaeology); Public administration; Business; Public relations; Emergency response; Health plan; Corporate governance; Political science; Health care; Medicine; Nursing; Medical emergency; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02622862,0.00110479,0.0006462713,0.00364254,0.003940569,0.003986615,0.004099413,0.00332478,0.01164062],"category_scores_gemma":[0.02614186,0.001163364,0.001212174,0.002900264,0.001502992,0.001336344,0.002877137,0.004278881,0.003356856],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06341215,"about_ca_system_score_gemma":0.4009567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8813271,"about_ca_topic_score_gemma":0.9063713,"domain_scores_codex":[0.987626,0.002575185,0.0007286183,0.0006098834,0.005513643,0.002946605],"domain_scores_gemma":[0.9702616,0.002862595,0.001310293,0.0009690763,0.01811282,0.006483738],"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":[0.0002008467,0.000392425,0.00901277,0.0008252504,0.00008660778,0.0004132145,0.002476019,0.008688467,0.001366355,0.0903312,0.7762377,0.1099692],"study_design_scores_gemma":[0.0001806888,0.0002302641,0.01653073,0.0007258843,0.00005769953,0.00008814748,0.001600703,0.003890848,0.000652722,0.004373443,0.9715404,0.0001285035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02656366,0.003683824,0.1469244,0.1611495,0.005324544,0.09955373,0.1280124,0.006047763,0.4227403],"genre_scores_gemma":[0.1190741,0.003746659,0.466044,0.04296701,0.0006415402,0.04447694,0.09826308,0.0006871093,0.2240997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9365879,"threshold_uncertainty_score":0.4600895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06822679003890682,"score_gpt":0.3230616595729257,"score_spread":0.2548348695340189,"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."}}