{"id":"W2739951468","doi":"10.1016/j.foreco.2017.07.037","title":"Do large carnivores use riparian zones? Ecological implications for forest management","year":2017,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Fribourg; Deutscher Akademischer Austauschdienst","keywords":"Riparian zone; Grizzly Bears; Ursus; Riparian buffer; Wildlife; Habitat; STREAMS; Geography; Ecology; Biodiversity; Riparian forest; Forest management; Environmental science; Forestry; Biology; Population","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":[0.001083413,0.0001495452,0.0001683049,0.0004432793,0.0006487636,0.001080842,0.0004345323,0.000666025,0.004205136],"category_scores_gemma":[0.003796125,0.00021583,0.0001140343,0.0004974564,0.001281426,0.001430075,0.0004508978,0.0003473031,0.0002144634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451577,"about_ca_system_score_gemma":0.0005508623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131593,"about_ca_topic_score_gemma":0.08827708,"domain_scores_codex":[0.9997297,0.0001088104,0.000009843169,0.00004588161,0.00003344359,0.00007224098],"domain_scores_gemma":[0.9981318,0.0006246667,0.0006430753,0.0000936471,0.0001564619,0.0003503075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001310255,0.0001039779,0.9705517,0.00004671765,0.0000934014,0.0001722208,0.001817272,0.0001105189,0.0005928035,0.0009723604,0.0006758089,0.02473234],"study_design_scores_gemma":[0.000006269137,0.00003573019,0.9899589,0.00004175717,0.00002874199,0.0002415852,0.007479527,0.0001412148,0.00004344905,0.0008561061,0.001161028,0.000005739786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914119,0.001493411,0.00008878163,0.002732924,0.00001250282,0.000006022372,0.00008485721,0.000001408594,0.004168168],"genre_scores_gemma":[0.9984624,0.0007713506,0.0001089185,0.0002800083,0.00001705062,0.000003929793,0.00003355051,9.651021e-7,0.0003218493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131593,"threshold_uncertainty_score":0.04238373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216369290127412,"score_gpt":0.2592205047730951,"score_spread":0.2375835757603539,"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."}}