{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004577108,0.00007832255,0.000116552,0.00003882525,0.000112666,0.00004779039,0.0001111358,0.00002392465,0.00002041792],"category_scores_gemma":[0.00003099793,0.00006692529,0.00002899483,0.00007963198,0.000085121,0.0002457462,0.00009287384,0.00004146771,0.0000137836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006839362,"about_ca_system_score_gemma":0.000002582344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000017104,"about_ca_topic_score_gemma":0.00002309203,"domain_scores_codex":[0.9993161,0.00002990122,0.0002447275,0.0001347873,0.0001464022,0.000128064],"domain_scores_gemma":[0.9995203,0.00005235985,0.0002018322,0.0001228947,0.00001914136,0.00008346881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002121534,0.000336386,0.1253134,0.0004934113,0.0003328616,0.00001220401,0.001754775,0.0003244577,0.004445804,0.002708488,0.2180205,0.6460456],"study_design_scores_gemma":[0.0009893703,0.0005692649,0.8659956,0.00007441554,0.0001009983,0.00004235679,0.00007214252,0.006909278,0.0000852304,0.001338399,0.123689,0.0001340176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831936,0.0001811706,0.008173333,0.005153059,0.0002643257,0.0006651275,0.000002811614,0.00001274122,0.002353823],"genre_scores_gemma":[0.9928582,0.00008707947,0.005985857,0.0006997581,0.0001360599,0.00002060558,6.968255e-7,0.000009911139,0.0002018426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7406822,"threshold_uncertainty_score":0.2729134,"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."}}