{"id":"W4414867047","doi":"10.4271/2025-01-0390","title":"Investigation of Transient High Current Ignition for Lean Mixture in Spark Assisted Compression Ignition","year":2025,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Ignition system; Combustion; Transient (computer programming); Compression (physics); Ignition timing; Current (fluid); SPARK (programming language); NOx","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002808365,0.0002215334,0.0002425902,0.0003960238,0.0002550614,0.0003199876,0.0004050572,0.0002591076,0.001387755],"category_scores_gemma":[0.0003555954,0.0001294505,0.0002504447,0.0002943621,0.0003427643,0.0004345974,0.0002488619,0.0003814804,0.0002619472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377865,"about_ca_system_score_gemma":0.0002571187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009586521,"about_ca_topic_score_gemma":0.001410557,"domain_scores_codex":[0.9997658,0.000008777023,0.000008914825,0.00003703951,0.0001458565,0.00003359415],"domain_scores_gemma":[0.9998558,0.00003612848,0.00002786645,0.00001151031,0.00005538651,0.00001331006],"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":[0.0003133363,0.00006870394,0.001379066,0.0002575176,0.000009961243,0.000233655,0.0001409643,0.001102256,0.9856368,0.0004582736,0.0002459259,0.0101534],"study_design_scores_gemma":[0.00001188803,0.0003753486,0.004567704,0.000009630032,0.00001102314,0.0001198729,0.0000999623,0.008979495,0.9841218,0.00007175468,0.00161921,0.00001236268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894305,0.0008857358,0.006227985,0.00008599247,0.00004546761,0.00003996311,0.000147832,0.000226558,0.002909884],"genre_scores_gemma":[0.9959202,0.0003165552,0.002537712,0.0000182943,0.000006668011,0.00001953951,0.0001002529,0.00001989554,0.001060773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001387755,"threshold_uncertainty_score":0.004642487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569867479483414,"score_gpt":0.2897854771178294,"score_spread":0.2640868023229953,"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."}}