{"id":"W4382278479","doi":"10.53941/ijamm.2023.100004","title":"Spark Plasma Stretching and Ignition Improvement via High Frequency Pulsed Current Boost","year":2023,"lang":"en","type":"article","venue":"International Journal of Automotive Manufacturing and Materials","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Research Foundation; University of Windsor","keywords":"Ignition system; SPARK (programming language); Spark plug; Plasma; Nuclear engineering; Materials science; Current (fluid); Automotive engineering; Environmental science; Electrical engineering; Mechanical engineering; Engineering; Computer science; Physics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632849,0.0001204315,0.0002179201,0.0002391976,0.00005615839,0.00009558148,0.00007473371,0.0000412271,0.00005513667],"category_scores_gemma":[0.0001081718,0.00009833388,0.00003393169,0.00002983291,0.00004014391,0.0001326327,0.00006790081,0.0001101279,0.00001372439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006080817,"about_ca_system_score_gemma":0.0000337557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003467721,"about_ca_topic_score_gemma":0.000001693647,"domain_scores_codex":[0.9990406,0.00002179826,0.0003927934,0.0001374,0.0002787225,0.0001286858],"domain_scores_gemma":[0.9992344,0.0001219396,0.0002727738,0.00006116602,0.0002086824,0.000101087],"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":[0.0005323599,0.0004262031,0.001689776,0.000316902,0.0007857333,0.0005565507,0.000867106,0.0001158138,0.743858,0.00123002,0.001207635,0.2484139],"study_design_scores_gemma":[0.001572136,0.0002252461,0.07663766,0.0003472001,0.00008745798,0.0002977504,0.00008958465,0.00007151863,0.9144846,0.005591881,0.0004843242,0.0001106939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970756,0.00004887956,0.0003572188,0.001139007,0.001038212,0.000143193,0.0001039674,0.00003072758,0.00006318001],"genre_scores_gemma":[0.9980972,0.0007595757,0.0005437742,0.00007761343,0.0004026587,0.000007861418,0.00007374089,0.00001204002,0.0000255294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2483032,"threshold_uncertainty_score":0.4009939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313205528507304,"score_gpt":0.2782753537566486,"score_spread":0.2651432984715755,"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."}}