{"id":"W4255936408","doi":"10.1115/icef2006-1562","title":"An Experimental and Modeling Study of HCCI Combustion Using n-Heptane","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Homogeneous charge compression ignition; Combustion; NOx; Automotive engineering; Ignition system; Materials science; Nuclear engineering; Environmental science; Thermodynamics; Chemistry; Combustion chamber; 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":[0.00003163251,0.00009719873,0.0001275682,0.000074214,0.00003127909,0.000006367542,0.0000750792,0.00004798872,0.0000130645],"category_scores_gemma":[0.000009278026,0.0000950548,0.00001237808,0.0001039835,0.00001894268,0.0001615527,0.00004288852,0.00008061746,4.136936e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688647,"about_ca_system_score_gemma":0.0000021141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512128,"about_ca_topic_score_gemma":0.000003194044,"domain_scores_codex":[0.9994426,0.000005826233,0.0001859307,0.0001531636,0.0001006369,0.0001118875],"domain_scores_gemma":[0.9997381,0.00001082243,0.00002978474,0.0001732417,0.00002858646,0.00001946572],"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":[0.000003829565,0.0001409827,0.0002253392,0.000003136433,0.000002547887,8.35386e-7,0.00003792836,0.6094782,0.3889851,0.001014696,5.670744e-7,0.0001068845],"study_design_scores_gemma":[0.00038627,0.00008921702,0.00003243044,0.000006124535,0.000007275533,0.000003865046,0.003196907,0.8503877,0.1456037,0.0001934881,5.442672e-7,0.00009255498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6576551,0.00005067509,0.3418373,0.000002417127,0.00001464853,0.00007132368,3.982675e-7,0.0002891368,0.00007909226],"genre_scores_gemma":[0.9777684,7.09393e-7,0.02217203,0.000001764134,0.0000182218,0.000004632195,0.000002258555,0.0000155002,0.00001652074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3201133,"threshold_uncertainty_score":0.3876222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763461143292768,"score_gpt":0.2909790648795265,"score_spread":0.2633444534465988,"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."}}