{"id":"W2058639545","doi":"10.1016/j.partic.2014.06.008","title":"Emission profiling of diesel and gasoline cars at a city traffic junction","year":2014,"lang":"en","type":"article","venue":"Particuology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Gasoline; Automotive engineering; Diesel fuel; Diesel exhaust; Particulates; Environmental science; Diesel particulate filter; Diesel engine; Particle number; Exhaust gas; Pollutant; Environmental engineering; Waste management; Chemistry; Engineering; Volume (thermodynamics); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001226326,0.00006565044,0.0001256302,0.0000289963,0.00004657653,0.000002232135,0.00002867758,0.00006230926,0.00003956445],"category_scores_gemma":[0.00003434778,0.00005527226,0.00001651535,0.00004610297,0.00003926927,0.00003058715,0.00002257239,0.00006837051,0.000005541766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353548,"about_ca_system_score_gemma":0.000003579128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000303883,"about_ca_topic_score_gemma":0.000008179683,"domain_scores_codex":[0.9995666,0.00001872171,0.0001396148,0.0000883184,0.00004145327,0.0001452862],"domain_scores_gemma":[0.999767,0.00004105454,0.00002073054,0.00009594934,0.00001677574,0.00005850704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001106202,0.00006787226,0.1516399,0.0004303381,0.00004933535,0.000002467554,0.001349996,0.1057749,0.6571401,0.0002086378,0.001853097,0.08137278],"study_design_scores_gemma":[0.0003495293,0.00009534146,0.01986902,0.00002446605,0.0000160059,0.00002104738,0.00002189533,0.8683513,0.1060482,0.00004273325,0.005063319,0.0000971683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979989,0.0002015575,0.0008707253,0.00005910864,0.0001629579,0.00004820579,0.000001030049,0.00006652352,0.0005910106],"genre_scores_gemma":[0.999332,0.00008081184,0.0004081973,0.00001100273,0.00005130534,0.000007064001,0.000003656711,0.000007984522,0.00009797928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7625763,"threshold_uncertainty_score":0.2253937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157203438898528,"score_gpt":0.2204060655564027,"score_spread":0.2088340311674175,"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."}}