{"id":"W3081229622","doi":"","title":"Use of Artificial Intelligence for Injection Control Systems","year":2020,"lang":"en","type":"article","venue":"ICTEA: International Conference on Thermal Engineering","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fuel injection; Automotive engineering; Diesel fuel; Fuel efficiency; Transient (computer programming); Torque; Water injection (oil production); Diesel engine; Engineering; Control system; Duration (music); Computer science; Control (management); Control engineering; Control theory (sociology); Electrical engineering; Artificial intelligence; Petroleum engineering; Physics","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":[0.00005971062,0.0001869304,0.0002253645,0.0001206923,0.00001719647,0.00003809494,0.000312996,0.0001065257,0.00005561932],"category_scores_gemma":[0.0007311574,0.0001929987,0.00008398067,0.0001367743,0.00002632353,0.0002219976,0.00003843549,0.0002472835,0.00001537816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300037,"about_ca_system_score_gemma":0.00001506484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030186,"about_ca_topic_score_gemma":1.882495e-7,"domain_scores_codex":[0.9989589,0.000007331699,0.0003931552,0.0002317391,0.0002177769,0.0001910828],"domain_scores_gemma":[0.999266,0.0001915848,0.0001116144,0.0001386606,0.0002289945,0.00006318535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007275946,0.00001292503,0.000005927988,0.00002941872,0.0000443093,9.898299e-7,0.00005005364,0.6514115,0.114274,0.2310541,0.000006410885,0.003037582],"study_design_scores_gemma":[0.0001199528,0.0001196827,0.00001886325,0.00007410874,0.00001052488,0.000002179757,0.00007239085,0.9470171,0.05176461,0.0001600324,0.0004696273,0.0001709014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02629746,0.00001648445,0.9716311,0.000482052,0.0005220908,0.000252885,0.00006505826,0.0005186436,0.0002141916],"genre_scores_gemma":[0.995216,0.000004708055,0.004369486,0.00004344725,0.000188398,0.00008225236,0.0000157169,0.00003340087,0.00004660275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9689185,"threshold_uncertainty_score":0.7870257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08458698287114319,"score_gpt":0.2760681666837325,"score_spread":0.1914811838125893,"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."}}