{"id":"W2759916750","doi":"","title":"Operational transfer path analysis: Practical Considerations for Selecting Sensor Positions","year":2017,"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":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Noise, vibration, and harshness; Train; Path (computing); Noise (video); Transfer function; Vibration; Computer science; HVAC; Position (finance); Frequency response; Harshness; Engineering; Mechanical engineering; Acoustics; Air conditioning; Artificial intelligence","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":[0.004075242,0.001590799,0.0006556422,0.001025369,0.0008744614,0.001983737,0.001912978,0.001854817,0.004974116],"category_scores_gemma":[0.01319673,0.0007247308,0.0003966085,0.0008200653,0.001332056,0.00320064,0.001920728,0.00132784,0.002718178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547964,"about_ca_system_score_gemma":0.001483698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960789,"about_ca_topic_score_gemma":0.003366086,"domain_scores_codex":[0.9977597,0.0009708105,0.0001153305,0.0002521145,0.0007909102,0.0001110464],"domain_scores_gemma":[0.994644,0.002990647,0.0003855785,0.0006803467,0.001217641,0.00008176647],"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":[0.0005818184,0.0001774732,0.005757586,0.0009481892,0.00004403327,0.001404052,0.00104549,0.1920487,0.1654874,0.06896548,0.008608368,0.5549313],"study_design_scores_gemma":[0.0001358074,0.0008049654,0.004148929,0.0003669947,0.00007547948,0.002451105,0.001389169,0.7165014,0.1432945,0.06512082,0.06543606,0.0002747783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004674153,0.0001702378,0.99208,0.0003508581,0.00005158951,0.00006598839,0.00004141797,0.0004172134,0.002148568],"genre_scores_gemma":[0.1314477,0.0003887509,0.8655243,0.0001418617,0.0000610235,0.0001623635,0.00009859534,0.0002096,0.001965692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004974116,"threshold_uncertainty_score":0.02155221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932873643475974,"score_gpt":0.2731656509912145,"score_spread":0.2438369145564548,"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."}}