{"id":"W2609093248","doi":"10.4271/2017-01-1782","title":"Modelling and Optimization of Plug Flow Mufflers in Emission Control Systems","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Flow (mathematics); Computer science; Mechanics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005444824,0.0005539499,0.001022316,0.000232779,0.0002935692,0.0001422181,0.0006413057,0.0007089837,0.00002352277],"category_scores_gemma":[0.0004867247,0.0005221011,0.0001602464,0.0002329301,0.0004008489,0.0008620237,0.0001343058,0.0006712991,0.000004686205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028693,"about_ca_system_score_gemma":0.00003568325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006636041,"about_ca_topic_score_gemma":0.003550574,"domain_scores_codex":[0.9969608,0.00009718269,0.001151463,0.0006806832,0.0005237933,0.000586049],"domain_scores_gemma":[0.9978396,0.0002569082,0.0003360634,0.001220794,0.0001129555,0.0002337101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001378134,0.00004075582,0.0001421396,0.0001110488,0.00002270585,0.000008989671,0.00001720748,0.684602,0.3134167,0.0008124058,0.00004789372,0.0006403711],"study_design_scores_gemma":[0.01336538,0.001689662,0.6519989,0.005131305,0.0003671502,0.0001789217,0.0003845213,0.3161406,0.0002978331,0.001721758,0.00504606,0.003677871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7229133,0.01561472,0.07978208,0.004985782,0.00456848,0.01911212,0.0006482673,0.01709891,0.1352763],"genre_scores_gemma":[0.9846425,0.0007514863,0.01399844,0.00005165612,0.00008912277,0.0002392017,0.00002211783,0.0001293021,0.00007618704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6518568,"threshold_uncertainty_score":0.9997231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100750164631338,"score_gpt":0.2235798153177385,"score_spread":0.2135047988546047,"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."}}