{"id":"W1984204796","doi":"10.1016/j.prevetmed.2011.10.016","title":"Targeting the detection of chronic wasting disease using the hunter harvest during early phases of an outbreak in Saskatchewan, Canada","year":2011,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; Ministry of Environment; University of Saskatchewan; University of Alberta","funders":"Alberta Prion Research Institute; Alberta Conservation Association","keywords":"Odocoileus; Chronic wasting disease; Outbreak; Culling; Geography; Demography; Biology; Demographics; Veterinary medicine; Forestry; Disease; Ecology; Herd; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001139581,0.0004743602,0.000345124,0.001013783,0.002143488,0.001094917,0.001562436,0.0004616882,0.001164978],"category_scores_gemma":[0.002260847,0.0003922588,0.0002118631,0.001315112,0.0007774616,0.0003895318,0.0009483977,0.0007923057,0.000158643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0165703,"about_ca_system_score_gemma":0.04454245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912699,"about_ca_topic_score_gemma":0.9979468,"domain_scores_codex":[0.9992957,0.0001575305,0.0000333031,0.00007207753,0.0001459206,0.0002953468],"domain_scores_gemma":[0.9973776,0.0003190886,0.000233324,0.00005616817,0.001358542,0.0006553002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003382718,0.0001986959,0.9692843,0.0001019756,0.00007793788,0.0005183108,0.002633715,0.0009264321,0.003927301,0.0001746579,0.002885951,0.01893244],"study_design_scores_gemma":[0.00002391706,0.0001105177,0.9903888,0.00005422505,0.00002445094,0.00007258182,0.006448,0.001328402,0.0004312105,0.0000537029,0.001044835,0.00001925696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957158,0.0001604566,0.0003677997,0.0004710895,0.00001836767,0.000145114,0.000632664,0.000013501,0.002475071],"genre_scores_gemma":[0.9962048,0.0003611985,0.0008707504,0.0001853077,0.000006960378,0.00005835122,0.0003389207,0.00000691354,0.001966796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165703,"threshold_uncertainty_score":0.1202265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520365491114432,"score_gpt":0.2640032529230448,"score_spread":0.2087995980119005,"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."}}