{"id":"W2005034179","doi":"10.1115/icef2014-5653","title":"Particulate Emissions From Karanja Biodiesel Fuelled Turbocharged CRDI SUV Engine","year":2014,"lang":"en","type":"article","venue":"","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Kanpur; International Development Research Centre; Department of Science and Technology, Ministry of Science and Technology, India; Tata Motors","keywords":"Particulates; Biodiesel; NOx; Diesel engine; Common rail; Diesel fuel; Environmental science; Combustion; Waste management; Diesel particulate filter; Particle number; Mean effective pressure; Diesel exhaust; Turbocharger; Volume (thermodynamics); Chemistry; Automotive engineering; Compression ratio; Engineering; Turbine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000970956,0.0001617465,0.0001699765,0.0000509917,0.0001261076,0.00003656089,0.0001259192,0.00008612531,0.001942435],"category_scores_gemma":[0.00004367943,0.0001373001,0.00006750361,0.0001913525,0.00003676804,0.00006902334,0.00002484199,0.0001552022,0.001345713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001787087,"about_ca_system_score_gemma":0.000004870521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003329737,"about_ca_topic_score_gemma":0.000009595029,"domain_scores_codex":[0.9991812,0.00001862967,0.0002202386,0.0002295328,0.0001043798,0.0002460926],"domain_scores_gemma":[0.9993165,0.00005213499,0.00001765651,0.0004175044,0.0000399372,0.0001562545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003470022,0.000310205,0.001818848,0.0001316167,0.0004805001,0.000002307838,0.001622055,0.01927999,0.4966504,0.0137761,0.4284054,0.03748788],"study_design_scores_gemma":[0.0007984049,0.00001681919,0.004177087,0.00001927842,0.00005394061,0.00000274857,0.0001042451,0.1383532,0.1758177,0.003052425,0.6770419,0.0005622628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157391,0.001673931,0.1564091,0.01306023,0.0023268,0.0009508106,0.0001441156,0.007044059,0.1026518],"genre_scores_gemma":[0.9941752,0.00009903895,0.003416274,0.0001659335,0.0002816224,0.00004419825,0.00006021662,0.00002554143,0.001731984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208327,"threshold_uncertainty_score":0.9994318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841797656829909,"score_gpt":0.1896792677708337,"score_spread":0.1812612912025346,"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."}}