{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276369,0.0002157941,0.0005028524,0.0000598173,0.0005679802,0.00004875297,0.0002855558,0.00006805217,0.00004944179],"category_scores_gemma":[0.003905867,0.0001904465,0.00007877969,0.0001463122,0.0002384826,0.00009696659,0.0002860062,0.0001685436,0.000001903871],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000598773,"about_ca_system_score_gemma":0.01505401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09008551,"about_ca_topic_score_gemma":0.2586579,"domain_scores_codex":[0.997593,0.0004074874,0.000550697,0.0004496937,0.0004214998,0.0005775806],"domain_scores_gemma":[0.9961902,0.0002628739,0.000254195,0.001412114,0.0003597595,0.001520846],"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":[0.01617986,0.0006836259,0.6500752,0.0003152126,0.0002753073,0.001967143,0.00007921046,3.480589e-7,0.0002213736,0.0001642444,0.3239555,0.006083001],"study_design_scores_gemma":[0.001505196,0.0003642999,0.3420828,0.00007002674,0.00002109167,0.0001609708,0.0000608018,0.00007168476,0.000008332508,0.00005736489,0.6554091,0.0001883849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808754,0.0008923658,0.00007394348,0.01336288,0.0009313996,0.001485994,0.001913778,0.000141491,0.0003227121],"genre_scores_gemma":[0.9934396,0.0000458156,0.00049654,0.002383863,0.0007895676,0.0001481934,0.002208662,0.00003241787,0.0004553664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3314536,"threshold_uncertainty_score":0.9905297,"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."}}