{"id":"W4403432321","doi":"10.1016/j.rama.2024.08.014","title":"Will It Burn? Characterizing Wildfire Risk for the Sagebrush Conservation Design","year":2024,"lang":"en","type":"article","venue":"Rangeland Ecology & Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Rocky Mountain Research Station; U.S. Forest Service; U.S. Fish and Wildlife Service","keywords":"Environmental science","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":[0.001478035,0.0003260221,0.0001896028,0.0006949797,0.0002184329,0.0007512631,0.000421549,0.0002863248,0.0013356],"category_scores_gemma":[0.004159922,0.0001270818,0.0003158916,0.00046014,0.0003613528,0.0004308999,0.000377131,0.0002450856,0.0001879656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462113,"about_ca_system_score_gemma":0.0005382662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004146929,"about_ca_topic_score_gemma":0.01750197,"domain_scores_codex":[0.9994403,0.000200072,0.00004061934,0.0001203744,0.0001394276,0.00005930506],"domain_scores_gemma":[0.9974638,0.0009976858,0.0008072543,0.0002264423,0.0002632218,0.000241554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003861382,0.0001376956,0.8996012,0.00005923762,0.0001557844,0.0001084847,0.0002602223,0.05647579,0.003577298,0.002140817,0.0007514893,0.03634592],"study_design_scores_gemma":[0.00003806473,0.0007653252,0.5867066,0.0000631135,0.0001417943,0.0004601197,0.0008700229,0.3990609,0.002776869,0.006233139,0.002843745,0.00004024361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851627,0.000103417,0.01218735,0.00007519635,0.000004582486,0.00004580077,0.0002763094,0.00005644777,0.002088248],"genre_scores_gemma":[0.9929211,0.00003760595,0.00630011,0.00002543966,0.000004218394,0.00003851649,0.000267465,0.00001132978,0.0003941506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004146929,"threshold_uncertainty_score":0.008245587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153117013073203,"score_gpt":0.229222979903953,"score_spread":0.2139112785966327,"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."}}