{"id":"W4323542811","doi":"10.14745/ccdr.v49i23a04","title":"Quality over quantity in active tick surveillance: Sentinel surveillance outperforms risk-based surveillance for tracking tick-borne disease emergence in southern Canada","year":2023,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Institut National de Santé Publique du Québec; Centre Intégré de Santé et de Services Sociaux des Laurentides; Public Health Agency of Canada; Santé Montérégie; University of Saskatchewan; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"","keywords":"Disease surveillance; Enzootic; Tick; Epidemiological surveillance; Geography; Environmental health; Medicine; Veterinary medicine; Disease; Epidemiology; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006823153,0.0003995693,0.000379775,0.0009415572,0.001374386,0.002212162,0.001132967,0.0003839508,0.001917784],"category_scores_gemma":[0.02086318,0.0002170383,0.0003829751,0.001470542,0.001110428,0.0008560646,0.0009591495,0.0005626453,0.00009709864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02000662,"about_ca_system_score_gemma":0.02347202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680198,"about_ca_topic_score_gemma":0.9841036,"domain_scores_codex":[0.9960595,0.001167545,0.0001720124,0.0005884406,0.001456648,0.0005557041],"domain_scores_gemma":[0.9903543,0.002002872,0.002219137,0.0004336176,0.003651889,0.001338113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384811,0.00004637648,0.9693034,0.0001326223,0.0001820294,0.0000384022,0.0005602983,0.001706577,0.0005595307,0.0004189141,0.001578764,0.02513471],"study_design_scores_gemma":[0.00002051476,0.0001451828,0.9904399,0.0001306366,0.0001211721,0.00004617372,0.0009421945,0.005659873,0.0003328407,0.0002106178,0.001937457,0.00001352392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792031,0.003072069,0.004806169,0.002682345,0.00008335167,0.0002059459,0.002089646,0.00007152873,0.00778573],"genre_scores_gemma":[0.9972414,0.0002495026,0.001478802,0.0001592792,0.00001039606,0.00001692443,0.0002909271,0.000006348127,0.0005465479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03198022,"threshold_uncertainty_score":0.1451588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387461498302654,"score_gpt":0.2859014428376114,"score_spread":0.2620268278545848,"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."}}