{"id":"W3202568257","doi":"10.4271/03-15-02-0014","title":"Ducted Fuel Injection: A Numerical Soot-Targeted Duct Geometry Optimization","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Engines","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Soot; Duct (anatomy); Materials science; Fuel injection; Mechanics; Combustion; Mechanical engineering; Engineering; Medicine; Chemistry; 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":[0.00009912001,0.0001731225,0.0002474302,0.0004089796,0.00002643264,0.00004184687,0.0003864031,0.0001182821,0.0004632715],"category_scores_gemma":[0.001862503,0.0001684455,0.0001587787,0.0006283212,0.00003152245,0.000404926,0.00009695035,0.0004405997,0.00001321488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839661,"about_ca_system_score_gemma":0.00007388357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001982491,"about_ca_topic_score_gemma":4.442306e-7,"domain_scores_codex":[0.9986083,0.00002041119,0.0005345221,0.0001677046,0.0004868469,0.0001822251],"domain_scores_gemma":[0.9980336,0.0001226711,0.000245586,0.0001627523,0.001360822,0.00007454408],"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":[0.00003117967,0.0000777995,0.0002048895,0.00001256778,0.0002046923,0.0001648005,0.00003682142,0.9759068,0.01820252,0.001282395,0.0005750222,0.003300518],"study_design_scores_gemma":[0.004964973,0.0003430021,0.00582,0.0005200796,0.0001942199,0.008524531,0.001120618,0.7764953,0.1511,0.005380607,0.04421119,0.001325496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02942755,0.002074114,0.9624472,0.00207672,0.003093718,0.00004383485,0.00001258989,0.0003297196,0.0004945457],"genre_scores_gemma":[0.91099,0.0003497461,0.0873282,0.00009025501,0.0008296091,0.00000371613,0.00003256445,0.00003474096,0.0003411489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8815625,"threshold_uncertainty_score":0.6869009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00923238226615617,"score_gpt":0.2531178999925996,"score_spread":0.2438855177264435,"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."}}