{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003455178,0.0005386003,0.0006032168,0.0002493742,0.0004403397,0.001100375,0.0007013258,0.0005139567,0.001858543],"category_scores_gemma":[0.0004930149,0.0002595042,0.000471313,0.0002145131,0.0003272394,0.0003880779,0.0003570397,0.0004952602,0.0003785471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961352,"about_ca_system_score_gemma":0.000587976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006826256,"about_ca_topic_score_gemma":0.003697433,"domain_scores_codex":[0.9997991,0.00003637416,0.00001305458,0.00005308201,0.00007300287,0.00002526721],"domain_scores_gemma":[0.9998239,0.00004371298,0.00002589978,0.00002105874,0.00007746386,0.000008088271],"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":[0.0001923206,0.00008888327,0.001120145,0.0002268991,0.00005025982,0.0001567965,0.0001290066,0.9408758,0.02576775,0.004759725,0.0007714514,0.0258609],"study_design_scores_gemma":[0.00001626665,0.00008505015,0.0003394,0.000004326169,0.00001458056,0.00001563392,0.000006672483,0.9961292,0.002297606,0.0002631877,0.0008209319,0.000007173353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254501,0.000488932,0.8506666,0.0001167782,0.000160343,0.0001159786,0.0001815513,0.00160995,0.02120976],"genre_scores_gemma":[0.9803213,0.0001457611,0.01436754,0.00001519557,0.00001336652,0.00008868965,0.0001002686,0.00002882859,0.004919052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006826256,"threshold_uncertainty_score":0.01357305,"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."}}