{"id":"W2168761168","doi":"10.1139/x10-061","title":"Fire, climate change, and forest resilience in interior AlaskaThis article is one of a selection of papers from The Dynamics of Change in Alaska's Boreal Forests: Resilience and Vulnerability in Response to Climate Warming.","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":368,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Pacific Northwest Research Station; Division of Environmental Biology; U.S. Forest Service","keywords":"Ecological succession; Environmental science; Disturbance (geology); Taiga; Climate change; Dominance (genetics); Forest restoration; Deciduous; Ecology; Fire ecology; Fire regime; Forest dynamics; Plant community; Boreal; Forest ecology; Ecosystem; Geography; Forestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002741649,0.0001050356,0.0001575633,0.0006931412,0.0005894916,0.0006735566,0.0001451129,0.0001989163,0.002576732],"category_scores_gemma":[0.0006436126,0.00007583639,0.0001769429,0.0006793273,0.00031715,0.0003044948,0.0004286442,0.0002589723,0.00007248726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029187,"about_ca_system_score_gemma":0.0006534633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349833,"about_ca_topic_score_gemma":0.3243525,"domain_scores_codex":[0.9999439,0.000008265032,0.00000566344,0.00001047422,0.00001087392,0.00002079159],"domain_scores_gemma":[0.9995634,0.0000766611,0.0001563941,0.00001245586,0.00004294851,0.0001480831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105431,0.00005142489,0.9865264,0.00003573193,0.0001062799,0.0001239689,0.0005709399,0.00101794,0.0003625949,0.0003735495,0.0005561839,0.01016958],"study_design_scores_gemma":[0.000001949748,0.00001154361,0.9984855,0.000009361237,0.00001973856,0.00004122694,0.0004823256,0.0002386784,0.00003241721,0.0001989539,0.0004736183,0.00000464669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959428,0.001497892,0.00005656501,0.0003019127,0.00002166196,0.000002123255,0.0002591364,0.000004037597,0.001914028],"genre_scores_gemma":[0.9987289,0.0007158667,0.00004026541,0.00001590543,0.00001155577,0.000001129925,0.0001324734,8.982033e-7,0.0003530495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8650166,"threshold_uncertainty_score":0.2683954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340835831365185,"score_gpt":0.2871884178538661,"score_spread":0.2637800595402142,"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."}}