{"id":"W2186426280","doi":"10.1155/2013/386018","title":"Emergency Department Surveillance as a Proxy For The Prediction of Circulating Respiratory Viral Disease in Eastern Ontario","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Emergency department; Proxy (statistics); Medicine; Disease; Respiratory system; Emergency medicine; Internal medicine; Intensive care medicine; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004553213,0.0002292093,0.0001800972,0.0006463203,0.0006721456,0.000685952,0.000631007,0.0001852892,0.0009771665],"category_scores_gemma":[0.003023295,0.0001635963,0.0001920643,0.0009856978,0.0003066121,0.0002669631,0.0005807409,0.0002448449,0.00009405913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008687033,"about_ca_system_score_gemma":0.005205878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092472,"about_ca_topic_score_gemma":0.9332037,"domain_scores_codex":[0.999509,0.00007240428,0.00004618336,0.00007671178,0.000160413,0.0001352727],"domain_scores_gemma":[0.9977755,0.0002220383,0.0008599634,0.00005812118,0.0006845498,0.0003998446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004677527,0.000009092107,0.9967504,0.00002181378,0.00001898659,0.0001036575,0.0002593681,0.0001939489,0.0001767678,0.00002657421,0.0003681487,0.002024617],"study_design_scores_gemma":[0.000002721632,0.00001092439,0.9989406,0.00001058255,0.000007093387,0.00003703652,0.0002406254,0.0004007466,0.00004024864,0.00001223662,0.0002945798,0.000002565514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955775,0.0004377608,0.0001661234,0.0002007032,0.00000732713,0.0000283926,0.001111048,0.00001114379,0.002460005],"genre_scores_gemma":[0.9990966,0.0001242853,0.0001170471,0.00002223398,0.000003671517,0.00000648043,0.0003506342,0.000001377675,0.0002775869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09075284,"threshold_uncertainty_score":0.1825746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009920789771133393,"score_gpt":0.2427190193661469,"score_spread":0.2327982295950135,"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."}}