{"id":"W4393375184","doi":"10.1016/j.prevetmed.2024.106196","title":"Lessons from CanSpotASF: Moving towards risk-based African Swine Fever surveillance with rule-out testing in Western Canada","year":2024,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diagnostic Services Manitoba; Research Manitoba; Health PEI","funders":"","keywords":"Medicine; Disease surveillance; Herd; African swine fever; African swine fever virus; Serology; Disease; Veterinary medicine; Family medicine; Pathology; Virology; Virus; Immunology","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":[0.01648395,0.0009368668,0.000773724,0.001416413,0.0062747,0.009510553,0.005934069,0.006050169,0.003661126],"category_scores_gemma":[0.0278083,0.000587195,0.0009636598,0.002180131,0.00634894,0.003609194,0.003392354,0.01005043,0.0006446559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09191212,"about_ca_system_score_gemma":0.3267984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891371,"about_ca_topic_score_gemma":0.9913245,"domain_scores_codex":[0.9867649,0.002423398,0.0008352948,0.001313224,0.0044195,0.004243652],"domain_scores_gemma":[0.9533347,0.004823057,0.001018512,0.001161171,0.02225898,0.01740353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008317865,0.0004926569,0.1626124,0.001715151,0.0003356133,0.004011674,0.01291409,0.005804278,0.002380996,0.02888792,0.4338403,0.346173],"study_design_scores_gemma":[0.0006684314,0.0008704917,0.2637444,0.00688874,0.0003996288,0.001992329,0.03825961,0.01086709,0.002545494,0.02348937,0.6495578,0.0007165521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04163192,0.01196564,0.002355033,0.920893,0.00313538,0.0002712277,0.001003305,0.0002455716,0.01849899],"genre_scores_gemma":[0.5892605,0.02929567,0.03142347,0.3299018,0.003626449,0.0003210655,0.001667887,0.0003757855,0.01412729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09191212,"threshold_uncertainty_score":0.6668723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06550254593072581,"score_gpt":0.2873932817609977,"score_spread":0.2218907358302719,"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."}}