{"id":"W2070486645","doi":"10.1016/j.applthermaleng.2014.05.031","title":"Grey-box modeling of HCCI engines","year":2014,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Homogeneous charge compression ignition; Combustion; Automotive engineering; NOx; Ignition system; Thermal efficiency; Engineering; Environmental science; Combustion chamber; Chemistry; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512835,0.0005557683,0.001395028,0.0004532859,0.0006768529,0.001369079,0.001346237,0.00209621,0.004229637],"category_scores_gemma":[0.001720307,0.0005116526,0.0006629861,0.0008213319,0.001157577,0.0008817663,0.0008998112,0.0009393799,0.0004600723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342118,"about_ca_system_score_gemma":0.001219327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03372755,"about_ca_topic_score_gemma":0.01170614,"domain_scores_codex":[0.999773,0.00007135575,0.000008965482,0.0000298671,0.00007255302,0.00004425398],"domain_scores_gemma":[0.9994129,0.0003246294,0.000053492,0.0000266452,0.0001246522,0.0000577128],"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":[0.00001106059,0.000005777865,0.00007828249,0.000009364253,0.000004545282,0.00001834276,0.000007313469,0.9970304,0.0001723105,0.002150274,0.00006401778,0.0004483366],"study_design_scores_gemma":[0.000002268809,0.000003117828,0.0000477217,0.000001200317,0.000001242396,0.000001393846,0.000002424208,0.9992682,0.00006010347,0.0005423085,0.00006825075,0.000001748071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4368815,0.002027448,0.4397144,0.001744054,0.0003812874,0.0001780351,0.001291639,0.0006628268,0.1171188],"genre_scores_gemma":[0.9821557,0.0003123246,0.004288292,0.0000627845,0.00002867021,0.00006210981,0.0002047443,0.00004668356,0.01283859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03372755,"threshold_uncertainty_score":0.0670625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007619896287805402,"score_gpt":0.19243631684615,"score_spread":0.1848164205583445,"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."}}