{"id":"W4408025910","doi":"10.1007/s00442-025-05677-5","title":"Vegetation influences wolf fine-scale habitat selection and movement rate in a logged coastal rainforest","year":2025,"lang":"en","type":"article","venue":"Oecologia","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"U.S. Forest Service; U.S. Fish and Wildlife Service","keywords":"Understory; Ecology; Habitat; Vegetation (pathology); Wildlife; Rainforest; Population; Temperate rainforest; Ecological succession; Tree canopy; Canopy; Geography; Biology; Ecosystem; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002057705,0.0001015828,0.0001225795,0.0003041919,0.0001692693,0.000325863,0.0001130212,0.0001581221,0.0005946786],"category_scores_gemma":[0.0008027217,0.0001195354,0.0001130136,0.0001896006,0.0001967983,0.0001729222,0.0002320505,0.0001342818,0.00009047275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391898,"about_ca_system_score_gemma":0.0001003363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593455,"about_ca_topic_score_gemma":0.02478183,"domain_scores_codex":[0.999902,0.00003117371,0.00000872547,0.0000274902,0.0000116177,0.00001901938],"domain_scores_gemma":[0.9994627,0.0001387152,0.0001991476,0.00004164206,0.00003543508,0.0001224628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004836272,0.00003207286,0.9963832,0.00000317657,0.00002021082,0.00004719093,0.0001417981,0.0001160158,0.001752998,0.000007962938,0.00002203167,0.001425041],"study_design_scores_gemma":[4.317676e-7,0.00001506222,0.9996891,7.536187e-7,0.00000172622,0.00001865133,0.00006767234,0.0001654517,0.00002138361,0.000004908057,0.00001419059,5.967884e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999113,0.000009417635,0.00001761002,0.000001786992,2.062447e-7,5.402048e-7,0.00001266202,7.874759e-7,0.00004562998],"genre_scores_gemma":[0.9998337,0.000009045764,0.00005023184,0.000003410713,5.514411e-7,0.000001471323,0.00004107999,6.239059e-7,0.00005982093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007593455,"threshold_uncertainty_score":0.01509851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0051715894482936,"score_gpt":0.2189706073744473,"score_spread":0.2137990179261537,"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."}}