{"id":"W83476268","doi":"","title":"A model for non-communicable disease surveillance in Canada: the prairie pilot diabetes surveillance system.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Population; Environmental health; Communicable disease; Disease surveillance; Disease; Public health; Pooling; Diabetes mellitus; Population health; Computer science","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":[0.003310429,0.001084606,0.0008520542,0.001547265,0.001881842,0.002635392,0.002977792,0.001106115,0.005334252],"category_scores_gemma":[0.007001644,0.000674509,0.001108342,0.002250873,0.001398966,0.001159679,0.001387723,0.001548594,0.0008352586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02966944,"about_ca_system_score_gemma":0.03691613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9615918,"about_ca_topic_score_gemma":0.9374626,"domain_scores_codex":[0.9981201,0.0006403804,0.00006573994,0.000399691,0.0003895927,0.0003843861],"domain_scores_gemma":[0.9963508,0.001063939,0.0002440313,0.0001192494,0.001927414,0.0002945079],"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":[0.0002240041,0.00009575261,0.02548002,0.0001351368,0.0001327206,0.0002472982,0.000361978,0.8992649,0.0003161104,0.04123634,0.01865635,0.01384937],"study_design_scores_gemma":[0.0001335934,0.00005310132,0.005691624,0.00002783878,0.00007025905,0.0000545259,0.0001889339,0.9782491,0.00009120534,0.006753462,0.008638497,0.00004785534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3398874,0.0019933,0.4657223,0.01454881,0.0004668031,0.004550374,0.0928281,0.003847039,0.0761558],"genre_scores_gemma":[0.7812373,0.001297247,0.1592721,0.0007887274,0.0001031157,0.002312028,0.02053485,0.0001982513,0.03425638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03840816,"threshold_uncertainty_score":0.2152679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073692225655173,"score_gpt":0.2424881643467511,"score_spread":0.2017512420901993,"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."}}