{"id":"W4401947121","doi":"10.1038/s41586-024-07878-z","title":"Carbon emissions from the 2023 Canadian wildfires","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Jet Propulsion Laboratory; Nuclear Safety and Security Commission; European Commission; National Aeronautics and Space Administration; California Institute of Technology; Ames Research Center","keywords":"Environmental science; Greenhouse gas; Carbon fibers; Environmental chemistry; Natural resource economics; Environmental protection; Chemistry; Ecology; Biology; Materials science; Economics","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":[0.000284042,0.0007302757,0.000184815,0.00102135,0.001561109,0.001080533,0.0004889391,0.0005334131,0.002196934],"category_scores_gemma":[0.0004660524,0.0001456959,0.0007179754,0.002233686,0.0003079808,0.0002968778,0.0004251688,0.0006527652,0.0002795692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01910581,"about_ca_system_score_gemma":0.02054866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860916,"about_ca_topic_score_gemma":0.9929819,"domain_scores_codex":[0.9996895,0.000008182724,0.000005493484,0.00002655968,0.0001806726,0.00008969579],"domain_scores_gemma":[0.9996582,0.00001168371,0.00003327102,0.000008506919,0.0002374596,0.00005084277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005631041,0.0002004339,0.6608866,0.0005953145,0.0007661707,0.0006545169,0.0005517584,0.1053611,0.008064398,0.007485812,0.08182056,0.1330502],"study_design_scores_gemma":[0.00002980493,0.00003601056,0.8875245,0.0001566144,0.0001429034,0.0001634335,0.0008051009,0.03360339,0.002850268,0.001549744,0.07304677,0.00009145314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716926,0.004735379,0.001991904,0.002642282,0.0001602898,0.00006319275,0.08346754,0.0002710441,0.0349757],"genre_scores_gemma":[0.9791823,0.001790814,0.0010855,0.0003288787,0.00002862747,0.0000162482,0.01406121,0.0000196399,0.003486814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910581,"threshold_uncertainty_score":0.138623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002808453515497785,"score_gpt":0.1927890578138842,"score_spread":0.1899806042983865,"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."}}