{"id":"W4417456164","doi":"10.1038/s41597-025-06429-z","title":"Global Ensemble Fire Emission Product Version 1.0 (EnsemFire V1.0)","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"NOAA Weather Program Office; National Oceanic and Atmospheric Administration; U.S. Department of Commerce; U.S. Environmental Protection Agency","keywords":"Greenhouse gas; Particulates; Methane; Biomass burning; Air quality index; Aerosol; Carbon dioxide; Carbon fibers; Radiative transfer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001764981,0.001709606,0.001248963,0.001457644,0.0005217579,0.000989042,0.001677366,0.001097925,0.006726582],"category_scores_gemma":[0.002565313,0.0007032332,0.00146635,0.002059649,0.00023793,0.001173623,0.0008686933,0.001460913,0.005477132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508757,"about_ca_system_score_gemma":0.00120354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447784,"about_ca_topic_score_gemma":0.01336977,"domain_scores_codex":[0.9995399,0.0001086155,0.00003595417,0.0001283799,0.0001338087,0.00005337827],"domain_scores_gemma":[0.9992973,0.0001850744,0.00007987121,0.000198356,0.000176367,0.00006311016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006582827,0.0003030844,0.04616287,0.001096823,0.001617101,0.0004117975,0.0002685537,0.2882022,0.009592181,0.01134853,0.529182,0.1111566],"study_design_scores_gemma":[0.0006622312,0.0002055164,0.03604593,0.0002350986,0.0003907121,0.000406907,0.00006405647,0.5345498,0.01174558,0.01531672,0.4000535,0.0003238041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05714101,0.001184042,0.09403831,0.000331335,0.0006199718,0.0003000528,0.7875859,0.04648418,0.01231522],"genre_scores_gemma":[0.06768709,0.0004161993,0.08549661,0.0002270084,0.0001143601,0.0006845726,0.8390284,0.004132795,0.002212917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01447784,"threshold_uncertainty_score":0.02878714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209779674364985,"score_gpt":0.2519572765202042,"score_spread":0.2309793090837057,"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."}}