{"id":"W4226079232","doi":"10.1016/j.tfp.2022.100229","title":"Projected changes in fire activity and severity feedback in the spruce–feather moss forest of western Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"Trees Forests and People","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Centre Intégré de Santé et de Services Sociaux des Laurentides; Université du Québec à Montréal","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Mitacs; Ministère des Forêts, de la Faune et des Parcs","keywords":"Black spruce; Ecological succession; Environmental science; Climate change; Taiga; Fire regime; Moss; Boreal; Vegetation (pathology); Ecology; Forest management; Forest ecology; Ecosystem; Geography; Forestry; Agroforestry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345109,0.0003591441,0.0001937927,0.00040953,0.0007441924,0.0008423337,0.0005948016,0.0003900175,0.002463732],"category_scores_gemma":[0.0005334795,0.0001451009,0.0003654101,0.0006916651,0.0002609419,0.0002388961,0.0002262209,0.0002905625,0.000164084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02253764,"about_ca_system_score_gemma":0.009412803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932762,"about_ca_topic_score_gemma":0.9955415,"domain_scores_codex":[0.9998815,0.00001360887,0.000004820467,0.00002622836,0.00002495261,0.00004893528],"domain_scores_gemma":[0.9996569,0.00003172695,0.00003481757,0.000009834177,0.0001926938,0.0000740251],"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":[0.0002989491,0.0001422204,0.8138993,0.00009705277,0.0002157971,0.0004326979,0.0002772334,0.1576853,0.004312765,0.0007839096,0.00548941,0.01636533],"study_design_scores_gemma":[0.00005944377,0.00004861496,0.8353819,0.00002749836,0.00006029523,0.00006217628,0.000559779,0.1594321,0.0004671304,0.0001397802,0.003718147,0.00004313238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917501,0.0001655526,0.0005272456,0.0002385803,0.00001291419,0.0000228799,0.005468313,0.00005426878,0.001760106],"genre_scores_gemma":[0.9962994,0.00009424095,0.0004360669,0.00004609515,0.000002221492,0.00001110966,0.001812223,0.000004830023,0.001293729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02253764,"threshold_uncertainty_score":0.1635228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006452753226387884,"score_gpt":0.1997146131854627,"score_spread":0.1932618599590749,"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."}}