{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932005,0.0000834431,0.0002752061,0.0002843928,0.00002669773,0.00000922754,0.0001130304,0.000056578,0.00004539777],"category_scores_gemma":[0.00004123587,0.00007589697,0.00008320785,0.000337681,0.00001763859,0.00002973514,0.000002570463,0.00002962396,0.000003753384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007042509,"about_ca_system_score_gemma":0.00006319597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005326294,"about_ca_topic_score_gemma":0.002935421,"domain_scores_codex":[0.9992915,0.0000157806,0.0003394096,0.00011169,0.00007434724,0.0001672281],"domain_scores_gemma":[0.9993144,0.0001369409,0.00002885731,0.0002197483,0.0001111338,0.0001888672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005933683,0.000006365252,0.0005807518,0.00003666084,0.0001338231,5.866184e-8,0.0003287746,0.2943509,0.6718468,0.00036054,0.0005134866,0.03183585],"study_design_scores_gemma":[0.0009276386,0.00006122554,0.009251463,0.00002141774,0.001100698,1.763641e-7,0.0002479159,0.7309779,0.2539981,0.000147822,0.002973655,0.0002920205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1223236,0.00002790191,0.8767798,0.00003775092,0.00007095557,0.0002602914,0.0003194881,0.00002298483,0.0001572039],"genre_scores_gemma":[0.9883086,0.000002531975,0.01144982,0.00003646998,0.00004387906,0.00005271662,0.00002191056,0.00001939204,0.00006467161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.865985,"threshold_uncertainty_score":0.3094988,"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."}}