{"id":"W2512297772","doi":"","title":"Comparison of two methods of transfer path analysis applied to snowmobile for noise source identification","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Transfer function; Transfer matrix; Inverse; Singular value decomposition; Reciprocity (cultural anthropology); Noise (video); Path (computing); Acoustics; Electrical impedance; Inverse problem; Computer science; Suspension (topology); Mathematics; Algorithm; Physics; Engineering; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009721483,0.0009440693,0.0005079115,0.00147961,0.0003513097,0.0007086891,0.0006627568,0.0009216562,0.001905269],"category_scores_gemma":[0.003296996,0.0003320682,0.0007497129,0.0006350324,0.0003931488,0.001194167,0.0006849281,0.0007163983,0.0008012032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023054,"about_ca_system_score_gemma":0.0006539043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00322559,"about_ca_topic_score_gemma":0.002783773,"domain_scores_codex":[0.9993248,0.000258246,0.00002129613,0.00007759166,0.0002762093,0.00004177832],"domain_scores_gemma":[0.998763,0.0008356946,0.00006549308,0.00008051732,0.000232662,0.00002276365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004777607,0.0001406576,0.003060209,0.0003290978,0.0002226026,0.0001476106,0.0004717949,0.2796995,0.0438046,0.007496372,0.0007367695,0.663413],"study_design_scores_gemma":[0.00001730327,0.0001118154,0.001220447,0.00001512731,0.00002308666,0.00008812777,0.00008482702,0.985177,0.009806026,0.0018211,0.001609234,0.00002586367],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01554638,0.000156785,0.9829978,0.00003124447,0.00002321604,0.00003863947,0.00002112391,0.0004940035,0.0006909323],"genre_scores_gemma":[0.367804,0.000686807,0.6285177,0.00003636714,0.00004451187,0.0002240196,0.0001784571,0.0003181924,0.002189864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00322559,"threshold_uncertainty_score":0.006413639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967660059781878,"score_gpt":0.3157063020974251,"score_spread":0.2960297014996063,"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."}}