{"id":"W2517068459","doi":"","title":"Identifying Localized Noise Sources During Industrial Vehicle Passbys","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Truck; Noise measurement; Trailer; Noise control; Roadway noise; Acoustics; Ambient noise level; Noise pollution; Environmental noise; Traffic noise; Environmental science; Automotive engineering; Computer science; Engineering; Noise reduction; Physics; Sound (geography); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022634,0.0002982566,0.000253889,0.001048494,0.0003918243,0.0004148801,0.0003547411,0.000471887,0.0007366563],"category_scores_gemma":[0.0004552052,0.0001962459,0.0001540355,0.0004392113,0.0002371839,0.0003266742,0.0004010412,0.0002784419,0.0003281685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127345,"about_ca_system_score_gemma":0.0003082326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191503,"about_ca_topic_score_gemma":0.03035782,"domain_scores_codex":[0.9998009,0.00001910371,0.000007807554,0.00005451297,0.00007571799,0.00004196826],"domain_scores_gemma":[0.9997312,0.00006280546,0.00004481216,0.00001570475,0.0001182178,0.00002714974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009122447,0.0005247,0.4990218,0.0003560538,0.00008047687,0.002386081,0.007690109,0.01347011,0.3489325,0.0005696273,0.001501963,0.1245542],"study_design_scores_gemma":[0.00002027335,0.0004747476,0.9450695,0.00006097533,0.00004556869,0.0004262532,0.003555218,0.01844431,0.02984124,0.0002108601,0.001810689,0.00004034003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950503,0.00005370903,0.003092412,0.00001332263,0.00000463613,0.00003015034,0.0001024665,0.00005897349,0.001594127],"genre_scores_gemma":[0.9965476,0.000101252,0.002215005,0.000009844504,0.000005734028,0.00002340516,0.0001786884,0.00001568318,0.0009028894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01191503,"threshold_uncertainty_score":0.02369136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175555855308446,"score_gpt":0.1989727913255151,"score_spread":0.1814172057946705,"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."}}