{"id":"W2782602592","doi":"","title":"Idle Speed Control of an Engine Model using PID Control System","year":2018,"lang":"en","type":"article","venue":"International journal of advance research, ideas and innovations in technology","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Throttle; Idle; Automotive engineering; Engine control unit; PID controller; Automotive engine; Electronic speed control; Control theory (sociology); Engineering; Control system; Automotive industry; Control (management); Computer science; Control engineering; Internal combustion engine; Temperature control","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":[0.0008727497,0.0001175662,0.0003370238,0.002129428,0.00005363502,0.00002442756,0.000414803,0.0001330755,0.000003805356],"category_scores_gemma":[0.0006011972,0.0001171229,0.00002863736,0.0009507785,0.0002701131,0.0006444942,0.00003724387,0.0004190604,8.692394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521018,"about_ca_system_score_gemma":0.00007998565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026593,"about_ca_topic_score_gemma":0.0000128743,"domain_scores_codex":[0.9982623,0.00005001855,0.0008641977,0.0001377057,0.00043815,0.0002476634],"domain_scores_gemma":[0.9955202,0.00009709442,0.0002753517,0.0001855061,0.003878692,0.0000431384],"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":[0.0001417549,0.00004694895,0.00100166,0.00002937933,0.0001044589,0.00002023135,0.00004612593,0.8504067,0.08400345,0.05163235,0.000009924272,0.01255699],"study_design_scores_gemma":[0.002363752,0.0001693012,0.0001404399,0.0002268726,0.000007236072,0.0001693668,0.0002730745,0.9785731,0.004362145,0.01343937,0.0001817883,0.00009356958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3229335,0.0004719762,0.6756188,0.0002673701,0.0002826176,0.0001746427,0.0000226922,0.00004480554,0.0001836046],"genre_scores_gemma":[0.9663879,0.00007924397,0.03327403,0.00001691483,0.0002028978,0.000007180702,0.000002026457,0.00002406745,0.000005778175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6434544,"threshold_uncertainty_score":0.4776131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908662356015923,"score_gpt":0.337111447523199,"score_spread":0.3180248239630398,"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."}}