{"id":"W2796307888","doi":"10.4271/2018-01-0231","title":"A Fuel Sensitive Ignition Delay Model for Direct Injection Diesel Engine Operating under EGR Diluted Conditions","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Ignition system; Diesel fuel; Diesel engine; Homogeneous charge compression ignition; Exhaust gas recirculation; Environmental science; Internal combustion engine; Chemistry; Combustion; Engineering; Combustion chamber; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000394466,0.0009293664,0.0009308081,0.0003942864,0.0006449182,0.00008035322,0.0006381079,0.001047356,0.0001321016],"category_scores_gemma":[0.002496948,0.0008195534,0.0004479433,0.0009829543,0.001189912,0.0008143602,0.0003844565,0.00117389,0.00008417088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007427073,"about_ca_system_score_gemma":0.00007979355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110925,"about_ca_topic_score_gemma":0.005453287,"domain_scores_codex":[0.9957305,0.0000738593,0.001075472,0.001344927,0.0006211467,0.001154114],"domain_scores_gemma":[0.9968167,0.001016918,0.0002442431,0.001137338,0.0005020758,0.0002827482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002064762,0.000194238,0.000004184454,0.00005531764,0.00009490157,0.00001018689,0.00004354394,0.01976985,0.9399388,0.03705024,0.0008996191,0.001732616],"study_design_scores_gemma":[0.02116206,0.0188975,0.5128837,0.006249394,0.002245461,0.001820882,0.003747217,0.01443877,0.107498,0.2667147,0.02662939,0.01771285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6223075,0.0007438711,0.130637,0.0237991,0.002227858,0.01177624,0.003844165,0.0862364,0.1184278],"genre_scores_gemma":[0.9638202,0.0001051318,0.03250553,0.0008959374,0.0003219568,0.001185437,0.0002154478,0.0002261214,0.0007242077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324408,"threshold_uncertainty_score":0.9994255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843648655960886,"score_gpt":0.2701327685105201,"score_spread":0.2516962819509113,"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."}}