{"id":"W4411705092","doi":"10.1111/ele.70166","title":"Drying Spring Accelerates Transitions Toward Pyrogenic Vegetation in Eastern Boreal North America","year":2025,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Montréal; Université du Québec à Chicoutimi; Université du Québec à Rimouski; Natural Resources Canada; Canadian Forest Service; Université du Québec en Abitibi-Témiscamingue","funders":"Institut écologie et environnement; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique","keywords":"Boreal; Vegetation (pathology); Taiga; Fire regime; Ecology; Environmental science; Climate change; Vapour Pressure Deficit; Spring (device); Peat; Physical geography; Geography; Climatology; Ecosystem; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001935777,0.0001207509,0.0001129221,0.0002846349,0.0003294956,0.000344508,0.0001599954,0.0001892726,0.0009187905],"category_scores_gemma":[0.0003793683,0.0001001532,0.0001137074,0.0001864114,0.00030493,0.0002299154,0.0002491268,0.0002098921,0.00007387441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762988,"about_ca_system_score_gemma":0.0001670328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797788,"about_ca_topic_score_gemma":0.05923941,"domain_scores_codex":[0.9999413,0.00001149601,0.00000403295,0.00001872659,0.000009069552,0.00001536132],"domain_scores_gemma":[0.9997591,0.0000305789,0.0001054642,0.00001645885,0.00002103369,0.00006735488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002924668,0.0001304388,0.9713451,0.00003835548,0.00004696821,0.0002658399,0.0006853783,0.0007073795,0.01634152,0.0001452927,0.0003097875,0.009691552],"study_design_scores_gemma":[0.0000013485,0.00001353352,0.9995703,0.000001359573,0.000001988431,0.00002361496,0.0001038629,0.0001222068,0.00004889258,0.00001852879,0.0000931699,0.000001119565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996233,0.00005352812,0.0000317019,0.00001878247,0.000001386774,0.000001244193,0.000030877,0.000003507242,0.00023553],"genre_scores_gemma":[0.9997647,0.00004957054,0.00003962384,0.00002121911,0.000002521234,0.000001658019,0.00005100992,0.000001102712,0.00006860706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797788,"threshold_uncertainty_score":0.03574651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006980103728067101,"score_gpt":0.2137789850361136,"score_spread":0.2067988813080465,"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."}}