{"id":"W2896076094","doi":"10.1002/jwmg.21591","title":"Vegetation and prescribed fire: Implications for Stone's sheep and elk","year":2018,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Ungulate; Vegetation (pathology); Prescribed burn; Forage; Transect; Grazing; Shrub; Taiga; Environmental science; Rangeland; Grassland; Forestry; Ecology; Biomass (ecology); Geography; Biology; Agroforestry; Habitat","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003489386,0.0001019957,0.0001963327,0.0002504581,0.0005415631,0.0005860489,0.0002338135,0.00023413,0.001090421],"category_scores_gemma":[0.0007780489,0.0000664245,0.0001435379,0.0003645087,0.0004315149,0.0001848306,0.0001984866,0.0001629704,0.00006303612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749059,"about_ca_system_score_gemma":0.0008685937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3664009,"about_ca_topic_score_gemma":0.7164546,"domain_scores_codex":[0.9998595,0.00003557547,0.000008338912,0.00002848096,0.00002371721,0.00004444539],"domain_scores_gemma":[0.9995297,0.00008761902,0.000128905,0.00001881689,0.0001035976,0.0001313644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770746,0.00003290017,0.9936814,0.00001502997,0.00002580341,0.0001389638,0.0003279831,0.0001978802,0.001048678,0.0000245261,0.0001176133,0.004212002],"study_design_scores_gemma":[0.000001637751,0.0000168578,0.9991315,0.000004445293,0.000004529675,0.00002510356,0.0005621146,0.0001126287,0.00003843979,0.00001082922,0.00009067148,0.000001286057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994619,0.00008376507,0.00001422926,0.00004435296,0.000001590789,0.000002145672,0.00005120539,6.712148e-7,0.0003401931],"genre_scores_gemma":[0.9996564,0.0000759181,0.00002302578,0.00002882169,0.000002125998,0.000002215519,0.00004082909,4.666988e-7,0.000170216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3664009,"threshold_uncertainty_score":0.7285364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009449987938580305,"score_gpt":0.2416667340956545,"score_spread":0.2322167461570742,"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."}}