{"id":"W3005231631","doi":"10.1002/jwmg.21829","title":"Anthropogenic Disturbance and Population Viability of Woodland Caribou in Ontario","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Canadian Forest Service; Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry; University of Guelph","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; W. Garfield Weston Foundation","keywords":"Woodland caribou; Disturbance (geology); Wildlife; Vital rates; Predation; Geography; Population model; Ecology; Population; Canis; Woodland; Population viability analysis; Logging; Gray wolf; Wildlife conservation; Wildlife management; Population growth; Biology; Demography; Endangered species; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939698,0.00006637862,0.0001658326,0.00002844208,0.00003070447,0.000006853532,0.00009879396,0.00003182374,0.000210992],"category_scores_gemma":[0.00002586309,0.00005925745,0.00003586155,0.0001211428,0.00007380512,0.0001888963,0.00009019664,0.0001203077,0.000003355394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660939,"about_ca_system_score_gemma":0.000009252745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005374912,"about_ca_topic_score_gemma":0.01823866,"domain_scores_codex":[0.9991905,0.00004799712,0.0003726004,0.0001181256,0.0001806114,0.00009015186],"domain_scores_gemma":[0.999597,0.0000216549,0.0002455123,0.00007430915,0.000007208183,0.00005431153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007582937,0.00005727553,0.9960753,0.00001824032,0.00001825123,0.00001156247,0.0004407323,0.001104837,0.000009955152,0.00006162858,0.00115686,0.0009695304],"study_design_scores_gemma":[0.0004846599,0.000122429,0.9952378,0.00001513379,0.00002619761,0.00000317897,0.00009256275,0.0002052378,0.000004262853,0.0004163425,0.003338351,0.00005382768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995303,0.00002405223,0.0002361768,0.003772228,0.00009707834,0.0001298693,8.192649e-7,0.000002388007,0.0004344185],"genre_scores_gemma":[0.9980224,0.00002229631,0.000745702,0.00113538,0.00002235871,0.00000142228,0.000001665397,0.000002975478,0.00004580383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286375,"threshold_uncertainty_score":0.9996759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212281467248091,"score_gpt":0.2123507855694435,"score_spread":0.2002279708969626,"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."}}