{"id":"W2748996948","doi":"10.1021/acs.energyfuels.7b01345","title":"Assessment of the Fuel Composition Impact on Black Carbon Mass, Particle Number Size Distributions, Solid Particle Number, Organic Materials, and Regulated Gaseous Emissions from a Light-Duty Gasoline Direct Injection Truck and Passenger Car","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Resources Canada; Transport Canada","keywords":"Gasoline; Diesel fuel; Particle number; Particulates; Environmental science; Waste management; Truck; Fraction (chemistry); Chemistry; Automotive engineering; Engineering; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001335334,0.0002205203,0.0002932818,0.000007469685,0.0003235684,0.0001138061,0.0001226538,0.0001239896,0.0002269175],"category_scores_gemma":[0.00003436345,0.0001579434,0.00005457505,0.00009503064,0.00008245564,0.0001524878,0.00007080907,0.0001334847,0.000002873329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012787,"about_ca_system_score_gemma":0.00003181996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005251684,"about_ca_topic_score_gemma":0.00005470233,"domain_scores_codex":[0.998912,0.00009472403,0.0003119296,0.0002353368,0.0001698748,0.000276091],"domain_scores_gemma":[0.9990404,0.00008169691,0.0001360041,0.0005316575,0.0000506199,0.0001596853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000043029,0.00007635709,0.03855545,0.00002741367,0.00007744626,0.000003925108,0.0001036963,0.0006829669,0.9599091,0.000079127,0.0001360919,0.0003053425],"study_design_scores_gemma":[0.0005180544,0.00004006645,0.3894619,0.0001060656,0.00005314196,0.00001271009,0.00001672575,0.01369288,0.5956538,0.0001741148,0.0001213519,0.0001492061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984898,0.00009831259,0.00004157205,0.0002080724,0.0002253505,0.0001039586,0.000160672,0.00008547804,0.00058679],"genre_scores_gemma":[0.9992859,0.0002984295,0.00007651591,0.00001277024,0.000132547,0.00001507961,0.00003584094,0.00003260813,0.000110313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3642554,"threshold_uncertainty_score":0.6440744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006104724122983123,"score_gpt":0.2456468847792172,"score_spread":0.239542160656234,"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."}}