{"id":"W2620603451","doi":"10.1155/2017/9854103","title":"Evaluating the Timeliness of Enteric Disease Surveillance in British Columbia, Canada, 2012-13","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; University of British Columbia; BC Centre for Disease Control; Island Health; Vancouver Coastal Health; Interior Health","funders":"British Columbia Centre for Disease Control","keywords":"Outbreak; Medicine; Disease surveillance; Salmonella; Disease control; Environmental health; Shigella; Subtyping; Listeria; Disease; Listeria monocytogenes; Internal medicine; Pathology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002793034,0.0004771331,0.0003746056,0.0024226,0.001845471,0.001855054,0.001332406,0.0002857636,0.001054521],"category_scores_gemma":[0.01221638,0.0003663791,0.0003110642,0.006703622,0.0005524249,0.0005655141,0.0009212041,0.000592331,0.0001626041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05443368,"about_ca_system_score_gemma":0.05843734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973227,"about_ca_topic_score_gemma":0.998189,"domain_scores_codex":[0.996806,0.0004341318,0.0003453429,0.0003186549,0.001396486,0.0006994085],"domain_scores_gemma":[0.9865703,0.0009637034,0.001592755,0.0002219859,0.009290685,0.001360494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002953224,0.00007369195,0.9448133,0.0003132483,0.0001378343,0.0001358013,0.001233387,0.00204596,0.0005912328,0.00020749,0.006221185,0.04393152],"study_design_scores_gemma":[0.00001491161,0.00007059574,0.9916546,0.00010755,0.00004243509,0.00003468859,0.001841819,0.002300651,0.0003964661,0.00002817364,0.003487426,0.00002062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964275,0.004001058,0.001219157,0.002312779,0.00007379629,0.000308208,0.01822047,0.0001365407,0.009453009],"genre_scores_gemma":[0.9894825,0.001304963,0.001838412,0.000275837,0.00001027353,0.00006533646,0.005037702,0.00001955305,0.001965466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05443368,"threshold_uncertainty_score":0.3949459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071465361029519,"score_gpt":0.2728379816898564,"score_spread":0.2621233280795612,"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."}}