{"id":"W125066202","doi":"10.1155/2007/386481","title":"Contributing to Communicable Diseases Intelligence Management in Canada: CACMID Meeting, March 2007, Halifax, Nova Scotia","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Public health; Agency (philosophy); Nova scotia; Business; Public health surveillance; Public relations; Public health informatics; Political science; International health; Health policy; Medicine; Geography; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008855572,0.000217715,0.0006572073,0.0004491652,0.0001261504,0.00002231898,0.0003220557,0.0001011957,0.0007717679],"category_scores_gemma":[0.001738089,0.0001958112,0.0001007265,0.0003614034,0.0002915674,0.00004620918,0.0001382284,0.0004279408,0.00001537676],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330172,"about_ca_system_score_gemma":0.005799599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8472399,"about_ca_topic_score_gemma":0.988362,"domain_scores_codex":[0.9975691,0.0001515855,0.0008094945,0.0002659133,0.0001951709,0.00100875],"domain_scores_gemma":[0.9953982,0.0003603008,0.0002020438,0.0002952925,0.0002617222,0.003482394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002366277,0.0001113267,0.9581439,0.0001460735,0.0002203598,0.006038019,0.00003999088,0.00004522535,0.000069063,0.0001299414,0.01568309,0.01913633],"study_design_scores_gemma":[0.00257307,0.0004279057,0.9274896,0.001279103,0.0002782264,0.002395911,0.000809634,0.00003271424,0.00006288037,0.0001101655,0.06413447,0.0004062639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827099,0.01066929,0.0005101893,0.002493753,0.001049857,0.0004953958,0.0008942645,0.00001596965,0.001161394],"genre_scores_gemma":[0.9947997,0.0003705737,0.00009747302,0.004383271,0.0001835926,0.00000238405,0.0001171083,0.00001965572,0.00002626694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141122,"threshold_uncertainty_score":0.9998366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008089856744326673,"score_gpt":0.2586632158263548,"score_spread":0.2505733590820281,"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."}}