{"id":"W2803044194","doi":"10.1111/gcb.14287","title":"Cross‐scale controls on carbon emissions from boreal forest megafires","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Saskatchewan; Université Laval; Wilfrid Laurier University","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada","keywords":"Black spruce; Taiga; Boreal; Environmental science; Greenhouse gas; Climate change; Fire regime; Atmospheric sciences; Disturbance (geology); Global warming; Physical geography; Climatology; Forestry; Ecology; Ecosystem; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001523144,0.000193098,0.0002405183,0.00001408218,0.0001229002,0.00002184764,0.0003294032,0.0002378648,0.0005148591],"category_scores_gemma":[0.00008547484,0.0001510265,0.00005877153,0.0001348678,0.0004297881,0.0000589843,0.0002004992,0.00008364689,0.001021922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684949,"about_ca_system_score_gemma":0.000007129191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04649756,"about_ca_topic_score_gemma":0.02611266,"domain_scores_codex":[0.9985855,0.0001362199,0.000183141,0.0004818887,0.0001406079,0.0004726079],"domain_scores_gemma":[0.9992582,0.0000932982,0.00008770004,0.0003716574,0.00001043074,0.0001787281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000946551,0.00004902884,0.9870293,0.000001777543,0.00001160452,0.000005886556,0.00008479645,1.925016e-7,0.001603462,0.00008062517,0.001575108,0.009463542],"study_design_scores_gemma":[0.0005336549,0.0007154041,0.9648739,0.00001915018,0.000009493969,0.000005060846,0.000008216492,0.001307182,0.0004479881,0.0007092647,0.03118761,0.0001830983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493971,0.0001058892,0.00001530249,0.0003469209,0.001065072,0.0003687244,0.0003970807,0.00009514878,0.0482088],"genre_scores_gemma":[0.9978272,0.000006378124,0.00007528641,0.0007984738,0.001034422,0.00008039137,0.00008151527,0.00001096474,0.0000853614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04843014,"threshold_uncertainty_score":0.9997559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775601535227888,"score_gpt":0.2765182277177685,"score_spread":0.2587622123654896,"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."}}