{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453117,0.0003336603,0.0002752783,0.0003368251,0.0001592436,0.0003365518,0.0004090721,0.0004381024,0.002375887],"category_scores_gemma":[0.000208261,0.0001605155,0.0002886155,0.0003811224,0.0002403608,0.0005747818,0.000386984,0.0006067846,0.0004877639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784082,"about_ca_system_score_gemma":0.0001396047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001922216,"about_ca_topic_score_gemma":0.0002996286,"domain_scores_codex":[0.999858,0.000006228453,0.000007320151,0.00003532026,0.00006363895,0.00002947282],"domain_scores_gemma":[0.9999253,0.00001703422,0.00002123658,0.000008469594,0.00001690508,0.00001108079],"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":[0.0002035952,0.0001136219,0.0003364057,0.0004040867,0.00001663092,0.0002743514,0.0001040208,0.001324586,0.9629826,0.001594091,0.0007984444,0.0318475],"study_design_scores_gemma":[0.00005718934,0.0004301124,0.001674139,0.00001619706,0.00003045354,0.0003209976,0.00005079273,0.02399058,0.9631639,0.0004194143,0.009823871,0.00002256439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877369,0.008949583,0.07959754,0.0006267485,0.0005790901,0.0001712809,0.0001636653,0.001060351,0.0211149],"genre_scores_gemma":[0.9874236,0.001316041,0.007925159,0.0001025124,0.00006908845,0.00004066962,0.00006085312,0.000041861,0.003020223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375887,"threshold_uncertainty_score":0.00794816,"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."}}