{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373267,0.000144294,0.0001644603,0.0003497167,0.0008632331,0.0006392655,0.0004270013,0.0001496692,0.001082922],"category_scores_gemma":[0.001125702,0.0001664036,0.0001598293,0.0004302924,0.0004663388,0.0002329072,0.0003016421,0.0001493907,0.00009910093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005825,"about_ca_system_score_gemma":0.003488374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9545088,"about_ca_topic_score_gemma":0.9884179,"domain_scores_codex":[0.9998814,0.00001726573,0.000006000494,0.00003124152,0.00003316844,0.0000310529],"domain_scores_gemma":[0.9992643,0.0001164523,0.0001980584,0.00004095945,0.0002491654,0.0001310028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003915847,0.00001356556,0.9950656,0.00001147228,0.0000340717,0.00007293425,0.0009111661,0.0006699074,0.0007154976,0.00006062143,0.0001409482,0.002265116],"study_design_scores_gemma":[0.000003190903,0.00001746818,0.9966984,0.00000707912,0.00001169179,0.00003106592,0.001150469,0.001503105,0.000120275,0.00003550195,0.0004173949,0.000004176382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995227,0.00003404669,0.00005553252,0.00001282137,8.013478e-7,0.000002265412,0.0001075036,0.000002397933,0.0002620394],"genre_scores_gemma":[0.9995573,0.00003339025,0.00004555518,0.000004270468,4.636661e-7,0.000002142752,0.0001133362,0.000001142184,0.0002423719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04549122,"threshold_uncertainty_score":0.09151822,"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."}}