{"id":"W4316928706","doi":"10.7589/jwd-d-21-00178","title":"USING WILDLIFE REHABILITATION AND POSTMORTEM DATA TO IDENTIFY KEY CAUSES OF MORBIDITY AND MORTALITY IMPACTING THE HEALTH AND WELFARE OF FREE-LIVING WILD ANIMALS IN CANADA","year":2023,"lang":"en","type":"article","venue":"Journal of Wildlife Diseases","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health; University of British Columbia; Université de Montréal; University of Guelph; University of Manitoba","funders":"Canadian Wildlife Health Cooperative","keywords":"Wildlife; Emaciation; Environmental health; Wildlife disease; Welfare; Medicine; Biology; Demography; Ecology; Pathology","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":[0.002406779,0.0003837221,0.0003416006,0.007445233,0.00239443,0.001764667,0.001526506,0.0003194261,0.001458241],"category_scores_gemma":[0.009280372,0.0003691312,0.000497268,0.009798947,0.001022682,0.0005455829,0.001558474,0.0005822839,0.0001926894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02944126,"about_ca_system_score_gemma":0.0428012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946889,"about_ca_topic_score_gemma":0.998127,"domain_scores_codex":[0.9973049,0.0002246844,0.0002628769,0.0003827825,0.001246242,0.0005785511],"domain_scores_gemma":[0.9893818,0.0009004638,0.002305519,0.0004611164,0.00608944,0.0008616838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005960875,0.00001640949,0.9840212,0.0001279507,0.00009826294,0.0001326595,0.000842105,0.0002420358,0.0002070344,0.0001640133,0.00279948,0.01128919],"study_design_scores_gemma":[0.000003611314,0.00001235744,0.9951578,0.000107241,0.00004060998,0.00005491926,0.001382405,0.0003454392,0.0000995618,0.00003917091,0.002745445,0.00001136698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367872,0.003893191,0.001195403,0.0009554339,0.00004863492,0.0003257238,0.04812606,0.0000631178,0.008605083],"genre_scores_gemma":[0.9684796,0.002917116,0.002546838,0.0002941278,0.00002493676,0.00009912098,0.02337051,0.00001971564,0.002248043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02944126,"threshold_uncertainty_score":0.2136123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06026680147892266,"score_gpt":0.3380413808652895,"score_spread":0.2777745793863668,"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."}}