{"id":"W2931804613","doi":"","title":"Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers","year":2018,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Acoustics; Noise (video); Noise control; Engineering; Computer science; Noise reduction; Physics; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001118596,0.0001951754,0.0003312994,0.0001127676,0.00007882345,0.000008165142,0.0002001968,0.000267146,0.003645725],"category_scores_gemma":[0.00003691912,0.0002680052,0.00006039491,0.0000854067,0.0001161164,0.0002662939,0.00003880661,0.000151375,0.000005060851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317467,"about_ca_system_score_gemma":0.00006755976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494397,"about_ca_topic_score_gemma":0.005576612,"domain_scores_codex":[0.9990904,0.00002358429,0.0001382365,0.0002234559,0.000319122,0.0002052279],"domain_scores_gemma":[0.9992298,0.00004723859,0.0001316221,0.0002446104,0.0002434469,0.0001032886],"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":[0.0005431857,0.0001007749,0.0001433189,0.005206092,0.0006849785,0.00001213953,0.02615798,0.904687,0.04420382,0.00003501807,0.003100178,0.01512547],"study_design_scores_gemma":[0.0007496592,0.0002461653,0.03158811,0.0003153155,0.0004968906,0.000001964425,0.02446524,0.941543,0.0002300645,0.000009351766,0.00003512742,0.0003191183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6224434,0.002894653,0.2367295,0.00002482535,0.001275832,0.001094158,0.0003469391,0.0003959158,0.1347948],"genre_scores_gemma":[0.9870362,0.001492996,0.007160743,6.960208e-7,0.00006068357,6.334847e-7,0.0002571869,0.00004596077,0.00394495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3645928,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009391543694671071,"score_gpt":0.2210839528707266,"score_spread":0.2116924091760556,"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."}}