{"id":"W3164419323","doi":"10.22541/au.162082168.86615974/v1","title":"Predicting multi-predator risk to elk ( Cervus canadensis ) using scats: Are migrant elk exposed to different predation risk?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Environmental Biology; Parks Canada; Rocky Mountain Elk Foundation; Alberta Environment and Parks; National Science Foundation; TD Bank; Foundation for North American Wild Sheep; University of Montana; University of Alberta; Alberta Conservation Association","keywords":"Predation; Predator; Ursus; Ecology; Canis; Geography; Cervus elaphus; Biology; Demography; Population","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":[0.0008924864,0.0005143856,0.0002308956,0.0007312869,0.000274018,0.0007079873,0.0004068649,0.0003559442,0.0003867263],"category_scores_gemma":[0.002063071,0.0002141198,0.0003715191,0.0003111855,0.0002732883,0.0003591628,0.0003807473,0.0002282521,0.0001387309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249094,"about_ca_system_score_gemma":0.000560006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1457073,"about_ca_topic_score_gemma":0.2903244,"domain_scores_codex":[0.9998196,0.00003561744,0.00001232367,0.00006128992,0.00004174749,0.00002949244],"domain_scores_gemma":[0.9989754,0.0004045308,0.0003144886,0.00004755472,0.0001492178,0.00010876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005208714,0.00001422144,0.9908783,0.000009355645,0.00004381465,0.00002248896,0.00006482374,0.005937362,0.0007815906,0.00001615729,0.00002475828,0.002154987],"study_design_scores_gemma":[0.000006056208,0.00009753124,0.9382147,0.000009809582,0.00005412339,0.00009626874,0.0004268503,0.06018974,0.0006860201,0.0001006686,0.0001071017,0.00001112696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991292,0.0000514516,0.000535664,0.00001438018,8.628708e-7,0.000004554016,0.00008603146,0.00001410542,0.0001637546],"genre_scores_gemma":[0.9985049,0.00004326534,0.001156733,0.000006209824,0.000001113123,0.000002892459,0.0001882854,0.000002352842,0.00009430978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1457073,"threshold_uncertainty_score":0.2897184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290798241186421,"score_gpt":0.2450261568097188,"score_spread":0.2159463326910767,"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."}}