{"id":"W3210534298","doi":"10.1016/j.prevetmed.2021.105512","title":"Spatio-temporal changes in chronic wasting disease risk in wild deer during 14 years of surveillance in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Alberta; University of Alberta","funders":"","keywords":"Chronic wasting disease; Herd; Wildlife; Odocoileus; Disease surveillance; Veterinary medicine; Wildlife management; Biology; Demography; Geography; Disease; Medicine; Ecology; Internal medicine","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":[0.0004120501,0.0002628584,0.0002689776,0.001403081,0.001323603,0.001075006,0.001135829,0.0004745066,0.001019277],"category_scores_gemma":[0.0008061797,0.0002785656,0.0003390533,0.002289837,0.0007107693,0.0003347519,0.0007020611,0.0004704278,0.0001486144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249828,"about_ca_system_score_gemma":0.009702321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885343,"about_ca_topic_score_gemma":0.9948784,"domain_scores_codex":[0.9995433,0.0000379732,0.00002372226,0.00006934708,0.0001063373,0.0002194167],"domain_scores_gemma":[0.9986408,0.00007406052,0.0002976589,0.00003305842,0.0006169392,0.0003375545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007042376,0.00001880387,0.9972241,0.000012589,0.00003795058,0.00007599506,0.0005788086,0.000103871,0.0002502121,0.00003190652,0.000302332,0.001293042],"study_design_scores_gemma":[0.000001110537,0.000009764521,0.9985445,0.000009139161,0.000007929836,0.00002678025,0.00107957,0.00009705517,0.00002071678,0.000005320601,0.0001950777,0.000003159425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972681,0.0003178692,0.00006725032,0.00008751285,0.000005797155,0.00001107866,0.001540508,0.000005402755,0.0006964479],"genre_scores_gemma":[0.9977482,0.000235662,0.0001163137,0.00003213558,0.000003297189,0.000007309805,0.0009381269,0.000001903087,0.0009170423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249828,"threshold_uncertainty_score":0.09068173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006585559908584,"score_gpt":0.2533026264608026,"score_spread":0.2432367708617168,"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."}}