{"id":"W2610195287","doi":"10.5210/ojphi.v9i1.7726","title":"The Canadian Chronic Disease Surveillance System: A Distributed Surveillance Model","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health; University of Manitoba; George & Fay Yee Centre for Healthcare Innovation","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Population; Record linkage; Public health; Disease surveillance; Public health surveillance; Family medicine; Environmental health; Pathology","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":[0.01704012,0.001617326,0.001151342,0.003925867,0.002488466,0.005586197,0.005274769,0.001487082,0.003973649],"category_scores_gemma":[0.02513785,0.000788252,0.001123282,0.007370823,0.001942788,0.002848177,0.002709663,0.001870701,0.0007063067],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03806268,"about_ca_system_score_gemma":0.05362369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9070192,"about_ca_topic_score_gemma":0.8668169,"domain_scores_codex":[0.9888713,0.004508452,0.0005065586,0.002307526,0.002677006,0.001129196],"domain_scores_gemma":[0.9867181,0.00317038,0.0009758861,0.0008493768,0.007481769,0.0008044319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000461205,0.0001956838,0.07189985,0.0009053007,0.0005282572,0.0004714661,0.001241354,0.4394328,0.0003933552,0.2243488,0.1085918,0.1515302],"study_design_scores_gemma":[0.0003734386,0.0001370346,0.01887649,0.0003564389,0.0002756146,0.0001935608,0.0007278047,0.8436691,0.0002250522,0.05370413,0.08130334,0.0001579344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08306051,0.008034199,0.6758982,0.04371206,0.001412896,0.008334551,0.07587212,0.003686486,0.09998906],"genre_scores_gemma":[0.6603562,0.006836919,0.2787124,0.002035613,0.0004916037,0.00338679,0.02732082,0.0002051096,0.02065456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9619373,"threshold_uncertainty_score":0.2761654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114451079606581,"score_gpt":0.4324899440693295,"score_spread":0.3180388644627485,"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."}}