{"id":"W1994363759","doi":"10.4271/2014-01-2568","title":"Conditional Source-Term Estimation for the Numerical Simulation of Turbulent Combustion in Homogeneous-Charge SI Engines","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Combustion; Homogeneous; Term (time); Turbulence; Computer science; Aerospace engineering; Mechanics; Environmental science; Statistical physics; Physics; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008475121,0.0006180232,0.0005790424,0.0005224001,0.0004768133,0.0006069318,0.001256084,0.0009009011,0.002340964],"category_scores_gemma":[0.002305044,0.0003068881,0.0006303176,0.0005417485,0.0005987004,0.0004617966,0.0008549364,0.001098884,0.0003000957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008115798,"about_ca_system_score_gemma":0.001667975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381258,"about_ca_topic_score_gemma":0.006676975,"domain_scores_codex":[0.999756,0.00007453385,0.00001678065,0.00002489928,0.00009478813,0.00003295527],"domain_scores_gemma":[0.9988048,0.0007188493,0.0001229107,0.00005837265,0.0002279033,0.00006721695],"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":[0.00004496229,0.00003275268,0.0006834935,0.00004182473,0.000009991376,0.00003645427,0.00003197923,0.990146,0.001890382,0.003573248,0.0002604461,0.003248494],"study_design_scores_gemma":[0.000001666727,0.000002587092,0.00004252658,8.68442e-7,5.806495e-7,0.000001249212,0.000001249319,0.9995147,0.0002747801,0.00009684504,0.00006169445,0.000001276414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2331869,0.0002772514,0.7537472,0.000374047,0.0001026643,0.0001879283,0.0009120135,0.003051941,0.008160005],"genre_scores_gemma":[0.8810195,0.0001344394,0.1147937,0.00005668847,0.00002501855,0.0002846209,0.0008826534,0.0003564756,0.002446872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01381258,"threshold_uncertainty_score":0.02746433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008918191581562235,"score_gpt":0.2347400238455405,"score_spread":0.2258218322639783,"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."}}