{"id":"W2954792868","doi":"10.1093/jmammal/gyz101","title":"Effects of human-induced disturbances and weather on herbivore movement","year":2019,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Raincoast Conservation Foundation; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; World Wildlife Fund; Ministère des Forêts, de la Faune et des Parcs; Raincoast Conservation Foundation; Université du Québec à Rimouski","keywords":"Woodland caribou; Habitat; Wildlife; Ecology; Threatened species; Population; Taiga; Geography; Boreal; Biodiversity; Herbivore; Climate change; Snag; Biology; Demography","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":[0.0004925409,0.0001701285,0.0002067567,0.0004294884,0.0003049123,0.0004931767,0.000219853,0.0001844125,0.00144518],"category_scores_gemma":[0.001188093,0.0000897328,0.00042308,0.0004780926,0.0003534952,0.0001430247,0.0002700947,0.0001897462,0.00009515115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008586527,"about_ca_system_score_gemma":0.0004890591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1897328,"about_ca_topic_score_gemma":0.3545945,"domain_scores_codex":[0.9996961,0.000109564,0.00002089785,0.00006534817,0.00004348758,0.00006464538],"domain_scores_gemma":[0.998744,0.0004062822,0.0003855334,0.0001020805,0.0001531934,0.0002089903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007479647,0.000016981,0.9975248,0.000007627458,0.0001099594,0.00003894979,0.00005408314,0.0003545557,0.0006033384,0.000007260707,0.00004348633,0.001164181],"study_design_scores_gemma":[2.77923e-7,0.00001535457,0.9997072,8.205339e-7,0.000005611065,0.00001128436,0.00003791638,0.0001761357,0.00001796543,0.000002174083,0.00002459718,7.796424e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993466,0.00008412122,0.00008222813,0.000008970731,0.000001724617,0.000002334242,0.0003278225,0.000003145697,0.0001431978],"genre_scores_gemma":[0.9995952,0.00002753032,0.00005702929,0.000004586859,0.000001425424,0.000002100473,0.0002207978,9.517448e-7,0.00009029641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1897328,"threshold_uncertainty_score":0.377257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005289489242764751,"score_gpt":0.2118368271448482,"score_spread":0.2065473379020835,"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."}}