{"id":"W1537831142","doi":"10.4271/2004-32-0039","title":"Predicting and Optimizing Two-Stroke Engine Performance Using Multidimensional CFD","year":2004,"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":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada); Bombardier Recreational Products (Canada)","funders":"","keywords":"Computational fluid dynamics; Computer science; Stroke (engine); Mechanical engineering; Engineering; Aerospace engineering","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":[0.0003262401,0.0008402862,0.0005661635,0.0005790049,0.000354567,0.000959266,0.0006723051,0.0007742425,0.0006742072],"category_scores_gemma":[0.0009689383,0.0004182764,0.0004890528,0.0003344,0.0002976433,0.0006428194,0.0004650483,0.000389737,0.0002520199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008382377,"about_ca_system_score_gemma":0.0009447576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008681607,"about_ca_topic_score_gemma":0.006304881,"domain_scores_codex":[0.9998611,0.00002033178,0.000009285851,0.00002681181,0.00005500323,0.00002747715],"domain_scores_gemma":[0.9997192,0.0001406568,0.00002674541,0.00003220047,0.00006032456,0.00002094568],"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":[0.00005742694,0.00006512552,0.001799033,0.00003124379,0.00001008752,0.00005126412,0.00002258235,0.9744862,0.01054423,0.0002511913,0.0001444016,0.01253733],"study_design_scores_gemma":[0.000004161414,0.00002640426,0.0004933446,0.00000182249,0.000002637035,0.000004789521,0.000004129435,0.995198,0.004115261,0.00004674382,0.00009720791,0.00000551626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.857645,0.0004849871,0.131594,0.0001337707,0.0000320184,0.0001224844,0.0003051775,0.001479418,0.008203177],"genre_scores_gemma":[0.9795759,0.0001139932,0.01907287,0.00001096267,0.000003200668,0.0000446492,0.000138159,0.00005386831,0.0009864343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008681607,"threshold_uncertainty_score":0.0172621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192025962647277,"score_gpt":0.2405822517684529,"score_spread":0.2286619921419802,"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."}}