{"id":"W2010084123","doi":"10.4271/2015-01-0822","title":"Model Predictive Control for Combustion Timing and Load Control in HCCI Engines","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Homogeneous charge compression ignition; Model predictive control; Control theory (sociology); Combustion; Ignition system; Controller (irrigation); Actuator; Computer science; Automotive engineering; Valve timing; Engineering; Control (management); Internal combustion engine; Combustion chamber","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007399364,0.0008256469,0.001166966,0.000313813,0.0001561636,0.00005593151,0.0007365515,0.001037519,0.00001947932],"category_scores_gemma":[0.004238158,0.0007684606,0.0002605986,0.0005833591,0.0006676266,0.0006384566,0.0002473059,0.001414335,0.00001512385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828638,"about_ca_system_score_gemma":0.0001263969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001351689,"about_ca_topic_score_gemma":0.002935269,"domain_scores_codex":[0.9959767,0.00006290255,0.001054951,0.001132003,0.0007360552,0.001037364],"domain_scores_gemma":[0.9971757,0.0009876757,0.0002153051,0.000932377,0.000296031,0.000392924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001113243,0.0002164506,0.0001150692,0.00007317439,0.00005311688,0.00001702547,0.0000387697,0.1639566,0.8093402,0.02223213,0.0007791636,0.002065084],"study_design_scores_gemma":[0.05969641,0.01027452,0.722226,0.002642115,0.001207388,0.0004627363,0.001969501,0.0411739,0.002898385,0.1244015,0.02468936,0.008358212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432339,0.006399063,0.1035513,0.03548345,0.001696213,0.01959522,0.001746226,0.05311994,0.03517469],"genre_scores_gemma":[0.9812064,0.0001204932,0.01625768,0.0007316346,0.0001051926,0.00120738,0.00003246985,0.0001523034,0.0001864216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8064418,"threshold_uncertainty_score":0.9994766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922936870191791,"score_gpt":0.252849497559258,"score_spread":0.2336201288573401,"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."}}