{"id":"W4283399194","doi":"10.1016/j.fuel.2022.124764","title":"Aircraft engine particulate matter emissions from sustainable aviation fuels: Results from ground-based measurements during the NASA/DLR campaign ECLIF2/ND-MAX","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Division of Loan Repayment; Adelaide Research and Innovation, University of Adelaide; National Research Council Canada; U.S. Air Force; Deutsches Zentrum für Luft- und Raumfahrt; Transport Canada; U.S. Environmental Protection Agency; Federal Aviation Administration; Aeronautics Research Mission Directorate; H2020 Fast Track to Innovation; Langley Research Center; National Aeronautics and Space Administration","keywords":"Environmental science; Jet fuel; Particulates; Aviation fuel; Fossil fuel; Particle number; Renewable fuels; Waste management; Chemistry; Engineering; Volume (thermodynamics); Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003773804,0.0002354866,0.0001837872,0.00005058283,0.000879134,0.00006702718,0.0005507318,0.00007559356,0.003965282],"category_scores_gemma":[0.0001722529,0.0001870863,0.00008638998,0.0003917005,0.0001215251,0.0002961972,0.0004877185,0.0003535376,0.0004353353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025801,"about_ca_system_score_gemma":0.0000299371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837109,"about_ca_topic_score_gemma":0.00007331994,"domain_scores_codex":[0.9976768,0.0001660116,0.0003653173,0.0005677865,0.0006789948,0.000545064],"domain_scores_gemma":[0.9988132,0.0001735719,0.0001718075,0.0007332104,0.00001776337,0.00009051737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001500165,0.00118486,0.4078706,0.00008722077,0.0002666231,0.0004399474,0.005903562,0.286434,0.2608497,0.0001498893,0.03165908,0.003654336],"study_design_scores_gemma":[0.005472451,0.0001980586,0.8252283,0.00006117955,0.0001398844,0.000006866907,0.007123644,0.007475409,0.0404631,0.03448045,0.07807684,0.001273813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881063,0.0002352114,0.005320757,0.002588547,0.0002334057,0.0006417207,0.0002253794,0.0004134575,0.002235204],"genre_scores_gemma":[0.9933309,0.000006805673,0.002395149,0.0005444869,0.0000411435,0.0002019685,0.0001369732,0.00003195572,0.003310614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173577,"threshold_uncertainty_score":0.9969452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665859990482781,"score_gpt":0.219108586263553,"score_spread":0.2024499863587251,"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."}}