{"id":"W4319460798","doi":"10.1101/2023.02.07.527551","title":"Assessing changes in global fire regimes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Université de Montréal; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Conseil Régional Aquitaine; Université de Bordeaux; Centre National de la Recherche Scientifique; Chinese Academy of Sciences; European Commission; University of Bern; Past Global Changes; Narodowym Centrum Nauki; Akademie der Naturwissenschaften; Utah Department of Natural Resources; Brigham Young University; National Science Foundation","keywords":"Biome; Climate change; Fire regime; Biodiversity; Greenhouse gas; Environmental science; Ecosystem; Grassland; Vulnerability (computing); Land use, land-use change and forestry; Global warming; Disturbance (geology); Global change; Environmental resource management; Geography; Land use; Ecology","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":[0.003055538,0.0002852902,0.0001423947,0.001711666,0.0001798653,0.0005882381,0.0001787886,0.0002812535,0.001448816],"category_scores_gemma":[0.003359291,0.00007838525,0.0002885121,0.001349199,0.0001131957,0.0004756074,0.0004906046,0.0002314978,0.000232965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330739,"about_ca_system_score_gemma":0.0001909719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744583,"about_ca_topic_score_gemma":0.00735755,"domain_scores_codex":[0.9992824,0.0002538988,0.00007260046,0.000148337,0.0001795369,0.0000633131],"domain_scores_gemma":[0.9978058,0.0007327409,0.0006830551,0.0001286813,0.0005116153,0.0001381552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001153595,0.00005062901,0.9020987,0.0001482364,0.0002072128,0.00006739661,0.0005810842,0.007829121,0.005428922,0.0002789901,0.001425292,0.08176918],"study_design_scores_gemma":[0.0000109772,0.0001672191,0.9723067,0.00009257255,0.00006779203,0.0001055751,0.001785729,0.01613711,0.003329665,0.0009328496,0.005033903,0.00003002907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781663,0.0002898993,0.007832202,0.0002373866,0.00001624694,0.00008017466,0.003831572,0.00009937482,0.009446803],"genre_scores_gemma":[0.987116,0.0002371251,0.008443084,0.0001210464,0.00001915907,0.0000736203,0.003111592,0.00001117537,0.0008671762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003744583,"threshold_uncertainty_score":0.01615947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820421864512515,"score_gpt":0.24085866184271,"score_spread":0.2226544431975849,"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."}}