{"id":"W2081483275","doi":"10.1016/j.energy.2015.02.021","title":"Optimising the cam profile of an electronic unit pump for a heavy-duty diesel engine","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; Beijing Municipal Education Commission; National Natural Science Foundation of China; International Development Research Centre","keywords":"Automotive engineering; Acceleration; Diesel engine; Nozzle; Diesel fuel; Tangent; Constant (computer programming); Power (physics); Mechanics; Engineering; Mechanical engineering; Computer science; Mathematics; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001456853,0.0001359029,0.0001671097,0.00007016055,0.0000427578,0.000008040687,0.0003243953,0.00008522855,0.00001127099],"category_scores_gemma":[0.0004410953,0.0001045114,0.00004706653,0.0002624003,0.00004966181,0.0001160904,0.00007791285,0.000161477,0.000001385289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009055848,"about_ca_system_score_gemma":0.00005016749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003443255,"about_ca_topic_score_gemma":0.00001007282,"domain_scores_codex":[0.9991328,0.00001163198,0.0001755863,0.0001625313,0.0001392134,0.0003782009],"domain_scores_gemma":[0.9992554,0.0001249711,0.00005756822,0.0003864921,0.0001179059,0.00005770156],"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":[0.00004995212,0.00004359082,0.000003334259,0.00001941379,0.00003486939,6.954667e-7,0.0000934351,0.8948559,0.01399273,0.07957334,0.0001846094,0.01114816],"study_design_scores_gemma":[0.0004741102,0.000168882,0.000004227018,0.00001534297,0.00001450425,0.000006313564,0.0002935645,0.5301143,0.4419316,0.005332879,0.02147934,0.0001649185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08961957,0.0007061614,0.9069214,0.0005257544,0.0001274892,0.0001716942,0.00001481872,0.0009078443,0.001005294],"genre_scores_gemma":[0.9834792,0.00001791866,0.01545882,0.0000274448,0.00008096769,0.0001059788,0.00002892441,0.00003834148,0.0007624123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8938596,"threshold_uncertainty_score":0.4261852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177464034410074,"score_gpt":0.2589250349813327,"score_spread":0.237150394637232,"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."}}