{"id":"W3012056437","doi":"10.4271/2020-01-1537","title":"Engine Sound Reduction and Enhancement Using Engine Vibration","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Vibration; Reduction (mathematics); Acoustics; Sound (geography); Automotive engineering; Computer science; Engineering; Physics; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002477371,0.0005488999,0.0006083036,0.0001324627,0.0002453514,0.0001396253,0.0002904256,0.0004655354,0.0003551534],"category_scores_gemma":[0.0001957971,0.000533802,0.0001766619,0.0005440332,0.0002285618,0.0007363844,0.0001203893,0.0007521703,0.00005343502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853233,"about_ca_system_score_gemma":0.00003866374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006963397,"about_ca_topic_score_gemma":0.00142375,"domain_scores_codex":[0.997372,0.00006284776,0.0007956846,0.0007077025,0.0005050012,0.0005567882],"domain_scores_gemma":[0.9988608,0.00011037,0.00009900724,0.0004920657,0.00006658314,0.0003711316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001226517,0.00006629161,0.0000154872,0.00007457499,0.000050385,0.000009448095,0.00005972603,0.002492044,0.9879578,0.001645651,0.0007455376,0.006760391],"study_design_scores_gemma":[0.005647478,0.004955075,0.8661471,0.0005968864,0.0006162237,0.00035767,0.0005155626,0.0008562032,0.03736361,0.003709009,0.07514033,0.004094827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775875,0.001119159,0.0007185081,0.007502678,0.0004574546,0.001330793,0.00004368489,0.004492668,0.006747544],"genre_scores_gemma":[0.9918453,0.0004101302,0.00575809,0.001162927,0.0004944978,0.0001312433,0.000047677,0.0001102994,0.00003990976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505942,"threshold_uncertainty_score":0.9997113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157868705113794,"score_gpt":0.2330817675488994,"score_spread":0.21729489703752,"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."}}