{"id":"W2794864193","doi":"10.1002/ecs2.2156","title":"Wildfire‐mediated vegetation change in boreal forests of Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service; Yukon Department of Environment; University of Alberta","funders":"Faculty of Graduate Studies and Research, University of Alberta; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Alberta Biodiversity Monitoring Institute; Alberta Conservation Association","keywords":"Environmental science; Boreal; Vegetation (pathology); Fire regime; Climate change; Taiga; Deciduous; Disturbance (geology); Grassland; Edaphic; Fire ecology; Climatology; Ecology; Physical geography; Atmospheric sciences; Ecosystem; Geography; Forestry; Soil science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001208423,0.00009773411,0.0001371786,0.000009168672,0.00002743245,0.000005003696,0.0001518238,0.00005485912,0.001217147],"category_scores_gemma":[0.00006728055,0.00009429908,0.0000173031,0.0002345968,0.0000586973,0.0001639369,0.00004496029,0.00005705527,0.000601783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846707,"about_ca_system_score_gemma":0.0000390955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833522,"about_ca_topic_score_gemma":0.9995476,"domain_scores_codex":[0.9991221,0.00004468309,0.0001946529,0.0001897265,0.0002185937,0.0002301741],"domain_scores_gemma":[0.9995546,0.00009132838,0.00009454689,0.0001857595,0.000004915663,0.00006879987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001583012,0.00004221057,0.9633818,0.00002814638,0.000006057539,0.00001066711,0.0009125294,0.00002287895,0.0001645747,0.00001056521,0.02285429,0.01255046],"study_design_scores_gemma":[0.0002692284,0.00008445408,0.9785862,0.000039884,0.000002421537,0.000001737716,0.00001546435,0.01547385,0.0007082431,0.00002073815,0.004695945,0.0001018336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95427,0.00003739894,0.000002520868,0.0001222129,0.0002773145,0.0002689163,0.000003426922,0.000009625184,0.04500857],"genre_scores_gemma":[0.9994312,0.000002184436,0.00006316697,0.0001432379,0.00007520538,0.00003353861,0.00001394253,0.00001403403,0.0002235111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04516116,"threshold_uncertainty_score":0.9996959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005333027628036538,"score_gpt":0.1981483924844712,"score_spread":0.1928153648564347,"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."}}