{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005392646,0.0009241016,0.0004455795,0.001546587,0.0114936,0.006863248,0.001991667,0.003427268,0.01790952],"category_scores_gemma":[0.004496153,0.0007324161,0.0003644578,0.001678867,0.002045707,0.001351197,0.002780286,0.002569549,0.002417257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1107798,"about_ca_system_score_gemma":0.2423965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871932,"about_ca_topic_score_gemma":0.9967293,"domain_scores_codex":[0.9965143,0.000272002,0.0001052975,0.00030371,0.001530709,0.001274126],"domain_scores_gemma":[0.9918156,0.0002307391,0.0001523298,0.00007527035,0.003691858,0.004034215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001149451,0.00008095784,0.01147861,0.0002802551,0.00002189422,0.0007488466,0.002951869,0.0004667015,0.001067679,0.002637203,0.9317286,0.04842243],"study_design_scores_gemma":[0.00001975669,0.0000193277,0.02956676,0.0002866335,0.00001135855,0.00009409501,0.004722408,0.0003586026,0.0002697247,0.0003259938,0.9642901,0.0000353503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05391579,0.08011656,0.00343296,0.6782972,0.02268371,0.001503035,0.01093572,0.0004870325,0.1486281],"genre_scores_gemma":[0.196586,0.04025193,0.009702338,0.04133991,0.003173137,0.000496177,0.009051765,0.0002888995,0.6991099],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1107798,"threshold_uncertainty_score":0.8037672,"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."}}