{"id":"W3111965236","doi":"10.1109/tps.2020.3041635","title":"Ignition Energy Discharge of Oscillating Plasma Waveforms Under Atmospheric Conditions","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Plasma Science","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Plasma; Waveform; Ignition system; Materials science; Voltage; Atmospheric-pressure plasma; Electric arc; Plasma diagnostics; Atmospheric pressure; Mechanics; Atomic physics; Electrode; Physics; Thermodynamics; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614654,0.0002102973,0.0001921447,0.0003906971,0.0001804695,0.0003162354,0.000332675,0.0002803098,0.001378213],"category_scores_gemma":[0.0004827956,0.000102766,0.0001863183,0.0004451297,0.0002627449,0.000471751,0.0002903623,0.0004407764,0.0002314674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232786,"about_ca_system_score_gemma":0.0001416558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004166992,"about_ca_topic_score_gemma":0.0004362895,"domain_scores_codex":[0.9997705,0.00001276142,0.000007250341,0.00004515412,0.0001357354,0.00002860172],"domain_scores_gemma":[0.9998569,0.00004376682,0.00002943661,0.00001425749,0.00004876901,0.000006845597],"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":[0.0001575581,0.00002099463,0.00205919,0.0001982454,0.00001374298,0.0002600291,0.0001663422,0.001092795,0.9561233,0.001235439,0.0004787342,0.0381936],"study_design_scores_gemma":[0.00001523189,0.0002581367,0.01168967,0.00002083776,0.00002469672,0.0007129716,0.0002175029,0.02622523,0.9526973,0.00104872,0.007064258,0.00002551742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153615,0.002574281,0.06974863,0.0001824787,0.00008829479,0.00006250466,0.0004137972,0.0005030984,0.01106547],"genre_scores_gemma":[0.9889818,0.0005037338,0.008179725,0.00004402668,0.00001722084,0.00002317843,0.0002266017,0.00007384531,0.001949924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001378213,"threshold_uncertainty_score":0.004610538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336991142413103,"score_gpt":0.2611672061986793,"score_spread":0.2377972947745483,"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."}}