{"id":"W4415936227","doi":"10.15376/biores.21.1.10-12","title":"Wildfire management: Canada’s carbon opportunity and a lesson for all","year":2025,"lang":"en","type":"article","venue":"BioResources","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Carbon fibers; Carbon dioxide; Carbon offset; Carbon dioxide in Earth's atmosphere; Wood fuel; Sustainable development; Climate change; Carbon credit","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001637633,0.0007850807,0.0004969723,0.001008912,0.01142413,0.008096999,0.001701616,0.005689919,0.01638167],"category_scores_gemma":[0.002950964,0.0003136643,0.0006096846,0.001659891,0.004419784,0.003406555,0.002431166,0.007643316,0.002036833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04421341,"about_ca_system_score_gemma":0.2113452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741417,"about_ca_topic_score_gemma":0.9932624,"domain_scores_codex":[0.9983038,0.00008212894,0.00003140852,0.0001084723,0.0007629084,0.0007112438],"domain_scores_gemma":[0.9939604,0.0002083091,0.00009020813,0.0001377202,0.002004381,0.003599068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004085706,0.000063378,0.003206479,0.000163697,0.00002334662,0.0001853777,0.0006513283,0.0002183046,0.0004492809,0.01101127,0.8770196,0.106967],"study_design_scores_gemma":[0.00002088604,0.00002601773,0.009528551,0.0006298591,0.00002558279,0.0001061777,0.003558306,0.000203857,0.0002503675,0.008253145,0.9773465,0.00005077083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005491007,0.04512082,0.0007825206,0.8861352,0.007418705,0.00002376123,0.0009159051,0.0002264826,0.05388559],"genre_scores_gemma":[0.21463,0.1377101,0.007359367,0.4115507,0.004426104,0.00007280581,0.002081377,0.0003603935,0.2218091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04421341,"threshold_uncertainty_score":0.3207922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007397711347777369,"score_gpt":0.2101648279715018,"score_spread":0.2027671166237244,"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."}}