{"id":"W4297505053","doi":"10.5194/egusphere-2022-364","title":"Burned Area and Carbon Emissions Across Northwestern Boreal North America from 2001–2019","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Guelph; Canadian Forest Service; Wilfrid Laurier University","funders":"Pacific Northwest Research Station; Strategic Environmental Research and Development Program; Nuclear Safety and Security Commission; U.S. Department of Defense; Gordon and Betty Moore Foundation; H2020 European Research Council; National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Boreal; Taiga; Fire regime; Greenhouse gas; Carbon sink; Carbon sequestration; Climate change; Physical geography; Arctic; Climatology; Atmospheric sciences; Ecosystem; Forestry; Geography; Carbon dioxide; Ecology; Geology","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":[0.0003294233,0.0002609188,0.0001334056,0.0005782555,0.0004328518,0.0005779212,0.0003449436,0.0002013888,0.0005665335],"category_scores_gemma":[0.0005437987,0.0001233903,0.0002951749,0.0008066057,0.0001755932,0.0003301269,0.0002783262,0.0002636854,0.00008789455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290699,"about_ca_system_score_gemma":0.001002715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5661432,"about_ca_topic_score_gemma":0.7401727,"domain_scores_codex":[0.9998446,0.0000143952,0.00001294511,0.00005151786,0.00005425256,0.0000223141],"domain_scores_gemma":[0.9993961,0.00006522273,0.0001762015,0.00002645001,0.0002595877,0.00007637806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000605889,0.00002868031,0.9901028,0.0000199464,0.00007280132,0.00006830109,0.00008531913,0.003404276,0.0004230832,0.00005197653,0.0008081517,0.004874032],"study_design_scores_gemma":[0.000002015682,0.00001006581,0.9942231,0.00001045918,0.00002308563,0.00004479502,0.0002035652,0.004457931,0.0001917223,0.00002284119,0.0008051742,0.000005265079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936279,0.0002983439,0.0002301104,0.00006336073,0.00001201636,0.000004843966,0.005077616,0.00003222931,0.0006536383],"genre_scores_gemma":[0.9953548,0.0001427574,0.0003150432,0.00002188381,0.000005965604,0.00000537886,0.003792088,0.000003803779,0.0003583015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4338568,"threshold_uncertainty_score":0.8728237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077673806232195,"score_gpt":0.2378059066263055,"score_spread":0.2270291685639835,"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."}}