{"id":"W2244590390","doi":"10.1115/icef2015-1097","title":"Computational Studies of Glow Plug Ignition of Injected High Pressure Gas Jets","year":2015,"lang":"en","type":"article","venue":"Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spark plug; Ignition system; Combustion; Shield; Engine knocking; Ignition timing; Shielded cable; Mechanics; Materials science; Nuclear engineering; Combustion chamber; Autoignition temperature; Internal combustion engine; Homogeneous charge compression ignition; Chemistry; Automotive engineering; Thermodynamics; Electrical engineering; Physics; Engineering; Geology","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":[0.0004890179,0.0003703586,0.0009072305,0.0002322541,0.0001490191,0.00002967611,0.0001536909,0.0001716081,0.00001715414],"category_scores_gemma":[0.001215468,0.0003332804,0.00006578052,0.0003576645,0.0001087062,0.0002657212,0.00007904232,0.00021134,0.00000278526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453046,"about_ca_system_score_gemma":0.0001384646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002622229,"about_ca_topic_score_gemma":3.151815e-7,"domain_scores_codex":[0.9972237,0.0001777233,0.001256355,0.0004408784,0.0005717215,0.000329588],"domain_scores_gemma":[0.9973654,0.0008817796,0.0004376135,0.0001977273,0.0008238168,0.0002937206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002791686,0.0001174333,0.0002609066,0.0001781197,0.0004319332,0.00000238279,0.0002900987,0.9791417,0.003634266,0.004474056,0.00006813587,0.01112183],"study_design_scores_gemma":[0.005862846,0.0002374915,0.0005310567,0.0002369041,0.0001681997,0.000014257,0.0004980185,0.9869874,0.002266606,0.001981607,0.0008675583,0.0003480769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05117519,0.001382906,0.9457424,0.0002108626,0.0001965086,0.0009701329,0.00004636779,0.0002632714,0.00001232111],"genre_scores_gemma":[0.94362,0.00005300933,0.0558652,0.00003308447,0.00004485919,0.0001531993,0.00008466421,0.00003278569,0.0001132332],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8924448,"threshold_uncertainty_score":0.9999119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291506593512814,"score_gpt":0.2697579832281465,"score_spread":0.2368429172930184,"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."}}