{"id":"W3110831711","doi":"10.1115/icef2020-3011","title":"Effect of Discharge Energy Distribution on Flame Kernel Development","year":2020,"lang":"en","type":"article","venue":"","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Ignition system; Combustion; Materials science; Kernel (algebra); Volume (thermodynamics); Minimum ignition energy; Mechanics; Energy (signal processing); Automotive engineering; Nuclear engineering; Process engineering; Computer science; Thermodynamics; Chemistry; Engineering; Physics; Mathematics","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":[0.0002878378,0.0003913653,0.0002552572,0.0003916231,0.0002329248,0.0004912697,0.0003701752,0.0002833518,0.001960384],"category_scores_gemma":[0.0007909985,0.0002128727,0.0001468236,0.0003555978,0.0002539338,0.0006122033,0.000404192,0.0003667874,0.0002374358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225955,"about_ca_system_score_gemma":0.0001766523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005203777,"about_ca_topic_score_gemma":0.0006830693,"domain_scores_codex":[0.9997862,0.00001819451,0.0000197697,0.00006176632,0.00005866032,0.00005544443],"domain_scores_gemma":[0.9996339,0.0001427543,0.00006194803,0.00004169852,0.00007729161,0.00004237102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007993306,0.00009969555,0.001499297,0.000145146,0.00001760674,0.0001433625,0.00008363267,0.001892467,0.9828416,0.0002330239,0.00009716411,0.01214775],"study_design_scores_gemma":[0.00002618732,0.0003626971,0.004121196,0.000005843064,0.000013844,0.00005816331,0.0000574074,0.003982812,0.9907274,0.00004262463,0.0005919071,0.000009978022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963245,0.0003334435,0.002195959,0.00002095971,0.00001097088,0.00001252474,0.00004601606,0.00008236016,0.0009733488],"genre_scores_gemma":[0.9985179,0.0001302044,0.0008754719,0.000009264272,0.000001948464,0.000007308033,0.0000268813,0.00002356211,0.0004074156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960384,"threshold_uncertainty_score":0.00655818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006263385837232991,"score_gpt":0.2009183843713746,"score_spread":0.1946549985341416,"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."}}