{"id":"W2958089170","doi":"10.1002/ecs2.2809","title":"Contributions of fire refugia to resilient ponderosa pine and dry mixed‐conifer forest landscapes","year":2019,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Rocky Mountain Research Station; Oregon State University","keywords":"Ecology; Regeneration (biology); Disturbance (geology); Geography; Fire regime; Abundance (ecology); Obligate; Ecosystem; Psychological resilience; Environmental science; Biology","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":[0.0006314682,0.0001844374,0.0001865465,0.0005174155,0.0002325059,0.0005692212,0.0003305776,0.000229347,0.0009471491],"category_scores_gemma":[0.001503692,0.0001775938,0.0002933653,0.0002332032,0.0004218346,0.0004042009,0.000561452,0.0002341403,0.00006825044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006213079,"about_ca_system_score_gemma":0.0002594564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189196,"about_ca_topic_score_gemma":0.02580868,"domain_scores_codex":[0.9998072,0.00006661058,0.00001249683,0.00006120003,0.0000144835,0.00003801431],"domain_scores_gemma":[0.9994532,0.0001790387,0.000167375,0.00006548188,0.00003027931,0.0001046092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786875,0.00008917433,0.9338068,0.00002440393,0.0001456411,0.000208799,0.0002011688,0.05505733,0.003324238,0.0008425169,0.0001204362,0.006000821],"study_design_scores_gemma":[0.00001606058,0.0001611054,0.7770684,0.0000125809,0.00005199495,0.0002328986,0.0003883852,0.2197105,0.0005451891,0.001434819,0.0003582865,0.00001977551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994336,0.0000214544,0.0002862339,0.00001281419,7.272502e-7,0.000001908239,0.00003238422,0.000008875256,0.000202012],"genre_scores_gemma":[0.9998316,0.00000838442,0.00009030458,0.0000028982,5.283508e-7,0.000001043185,0.00002487576,0.000001312448,0.00003917278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189196,"threshold_uncertainty_score":0.02364546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002489805596432683,"score_gpt":0.1976200099030338,"score_spread":0.1951302043066011,"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."}}