{"id":"W2802957985","doi":"10.1371/journal.pone.0195480","title":"Natural regeneration on seismic lines influences movement behaviour of wolves and grizzly bears","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"GRi Simulations (Canada); University of Alberta; Parks Canada; University of Calgary","funders":"Environment and Climate Change Canada; University of Alberta; Government of Canada; fRI Research; Alberta Environment and Parks; Sustainable Forestry Initiative; Government of Alberta; University of Montana; National Aeronautics and Space Administration","keywords":"Grizzly Bears; Ursus; Vegetation (pathology); Predation; Ungulate; Ecology; Geography; Habitat; Geology; Physical geography; Population; Biology","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":[0.0002000133,0.0001125828,0.0001155684,0.0003171717,0.0003554215,0.000380412,0.0001668235,0.0001494989,0.0009213928],"category_scores_gemma":[0.0006981469,0.0001029861,0.000115013,0.0001991294,0.0004597588,0.0001452227,0.0002347711,0.0001606775,0.0001107306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805125,"about_ca_system_score_gemma":0.0004408174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150505,"about_ca_topic_score_gemma":0.4762953,"domain_scores_codex":[0.9998549,0.0000366863,0.000005269424,0.00003771978,0.00002574916,0.00003967215],"domain_scores_gemma":[0.9994986,0.00007236411,0.000180741,0.00002712593,0.00005240072,0.0001687263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067746,0.0000504316,0.9947136,0.000003899804,0.00002380274,0.00005950432,0.0006248379,0.00008811613,0.002253092,0.0000236454,0.0001130079,0.001939339],"study_design_scores_gemma":[5.921248e-7,0.00001302218,0.9995994,8.907873e-7,0.000001987461,0.000009707004,0.0002584841,0.00004544385,0.00002025287,0.000003320577,0.00004628066,6.375258e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997743,0.00001304773,0.00001084862,0.000007437272,4.999678e-7,8.939322e-7,0.00001860222,7.873899e-7,0.0001736543],"genre_scores_gemma":[0.9996899,0.00001737648,0.00004576245,0.00001012301,9.983805e-7,0.000001887601,0.00005719521,9.2062e-7,0.0001758941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150505,"threshold_uncertainty_score":0.2992579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120602520046039,"score_gpt":0.2174994008389546,"score_spread":0.1962933756384942,"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."}}