{"id":"W4205368349","doi":"10.1115/1.4053437","title":"Electrical and Optical Characterization Methodologies for Advanced Spark Ignition","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Ignition system; Shadowgraph; SPARK (programming language); Field-programmable gate array; Computer science; Combustion; Waveform; Transient (computer programming); Automotive engineering; Voltage; Nuclear engineering; Electrical engineering; Engineering; Aerospace engineering; Embedded system; Physics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346225,0.0001407088,0.0003359221,0.0006549162,0.0001270121,0.000009235775,0.0003236702,0.000141993,0.00001389046],"category_scores_gemma":[0.001213508,0.0001344827,0.00007384965,0.000541703,0.0001109964,0.0001096792,0.0002027789,0.0004916479,1.73404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105794,"about_ca_system_score_gemma":0.00001400855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.33252e-7,"about_ca_topic_score_gemma":1.187366e-7,"domain_scores_codex":[0.9989576,0.00003313415,0.0004081048,0.000177302,0.0001697299,0.0002540998],"domain_scores_gemma":[0.9990297,0.0003409456,0.0003159633,0.0001563148,0.0001187543,0.00003833887],"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":[0.0002676237,0.00004739867,0.00006877143,0.00001310658,0.00005831438,0.00002237804,0.00002310914,0.03064422,0.7377312,0.07426547,0.00003953027,0.1568189],"study_design_scores_gemma":[0.002772273,0.002868326,0.0002397464,0.00004515852,0.0001294329,0.002053352,0.001080769,0.03588943,0.661868,0.08123697,0.2111965,0.0006200091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3391797,0.0005159007,0.6582606,0.001441131,0.000111772,0.00006047884,0.000005916467,0.0003436282,0.00008085444],"genre_scores_gemma":[0.8931434,0.0001588087,0.106353,0.00006245155,0.00006546753,0.0000770912,0.000009132986,0.00002843587,0.0001022798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5539637,"threshold_uncertainty_score":0.5484046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679152476717768,"score_gpt":0.2615729172642607,"score_spread":0.244781392497083,"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."}}