{"id":"W2562426592","doi":"10.3390/f8010009","title":"Influence of Fuel Load Dynamics on Carbon Emission by Wildfires in the Clay Belt Boreal Landscape","year":2016,"lang":"en","type":"article","venue":"Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université Laval; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Coarse woody debris; Taiga; Environmental science; Carbon stock; Boreal; Biomass (ecology); Carbon fibers; Fire regime; Disturbance (geology); Biodiversity; Carbon cycle; Ecology; Agroforestry; Forestry; Ecosystem; Climate change; Geography; Geology; Habitat; 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":[0.0004176395,0.000368381,0.0002003312,0.0004713734,0.0004423389,0.0006111058,0.0004005526,0.0002997535,0.0006850701],"category_scores_gemma":[0.0006262778,0.0001939702,0.0005852758,0.0003522196,0.0003279308,0.0003614882,0.0002427531,0.0001761175,0.00005404246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719969,"about_ca_system_score_gemma":0.0006762085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2847241,"about_ca_topic_score_gemma":0.3841701,"domain_scores_codex":[0.9998982,0.00001935424,0.000006327286,0.00002154156,0.00001393122,0.0000406751],"domain_scores_gemma":[0.9997575,0.00009600772,0.00003644731,0.00001784637,0.00003467268,0.00005758571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006241306,0.0001698607,0.7739072,0.00005248197,0.0001983342,0.0003176988,0.0001499281,0.2033544,0.01223473,0.0003852291,0.000211626,0.008394292],"study_design_scores_gemma":[0.00004661869,0.0001408427,0.7857853,0.00001031459,0.00006771759,0.0001068644,0.000248431,0.2111753,0.001872156,0.0001911064,0.0003238513,0.00003157425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996088,0.00002418174,0.0001102722,0.000006194585,0.000001114657,0.000001708833,0.00006807241,0.000007107859,0.0001725605],"genre_scores_gemma":[0.9997137,0.0000195048,0.0001260366,0.000002123512,5.768158e-7,0.000001482227,0.00007777657,0.000002547313,0.00005629973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2847241,"threshold_uncertainty_score":0.5661336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00259678292950519,"score_gpt":0.1991081200398055,"score_spread":0.1965113371103003,"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."}}