{"id":"W3000074617","doi":"","title":"Incorporating fire severity into estimates of carbon losses from wildfires in Ontario","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Climatology; Physical geography; Atmospheric sciences; Meteorology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000764173,0.0002745492,0.0002436857,0.0006516264,0.001033579,0.001012796,0.0006132865,0.0002785916,0.000596927],"category_scores_gemma":[0.003057106,0.0002508419,0.0003345088,0.0009835374,0.0004150237,0.0005106484,0.0003701831,0.0002911873,0.0001009413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01411018,"about_ca_system_score_gemma":0.006116835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762204,"about_ca_topic_score_gemma":0.9939148,"domain_scores_codex":[0.9996812,0.0000472716,0.00002743091,0.00005542593,0.000123902,0.00006468654],"domain_scores_gemma":[0.9986044,0.0003227911,0.0002661609,0.00006577875,0.0006023353,0.0001385021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002139814,0.00002502656,0.9501093,0.00005972295,0.0002490976,0.000137482,0.0007667694,0.03415516,0.001728173,0.0003176089,0.0006314564,0.01160622],"study_design_scores_gemma":[0.00001381037,0.00001500076,0.9743779,0.00002064908,0.0001000627,0.00003925759,0.0007834565,0.02212684,0.0006460815,0.0001945453,0.001663872,0.00001847689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997072,0.0001617944,0.0005708949,0.0000613778,0.000003958669,0.00001023312,0.000766154,0.000009099448,0.001344583],"genre_scores_gemma":[0.9984041,0.0001205276,0.0004653076,0.00001022786,0.000001933751,0.000004581375,0.0004001927,0.000005831605,0.0005873486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02377963,"threshold_uncertainty_score":0.1023771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005208203460581029,"score_gpt":0.1992061557466518,"score_spread":0.1939979522860707,"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."}}