{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007683175,0.0001494485,0.0001556692,0.0001768951,0.0001397184,0.00009026093,0.0001624145,0.0001670136,0.0002907565],"category_scores_gemma":[0.00008377799,0.0001317345,0.00005036046,0.0001565469,0.00003495402,0.0001826712,0.00001353662,0.0001397433,0.0002818401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783039,"about_ca_system_score_gemma":0.0001514629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371211,"about_ca_topic_score_gemma":0.003582957,"domain_scores_codex":[0.9989997,0.00001929135,0.0002225402,0.0001552022,0.0001382275,0.0004650907],"domain_scores_gemma":[0.9991919,0.00005571634,0.00002530311,0.0002148584,0.00004247337,0.0004697446],"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":[0.00002279895,0.000009728141,0.01330904,0.00006300131,0.0001213569,0.0001558044,0.0002533289,0.01769338,0.9263535,0.0002252443,0.01485606,0.02693679],"study_design_scores_gemma":[0.0311845,0.0002074139,0.1993514,0.001322231,0.0006923927,0.0001206867,0.0010994,0.434152,0.2011978,0.001869938,0.1231387,0.005663541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757902,0.0001130019,0.02150862,0.0004101554,0.0007809593,0.0001558004,0.00009612423,0.0002666171,0.0008785345],"genre_scores_gemma":[0.998385,0.00002832127,0.00009661545,0.0001303,0.0006834574,0.00001340918,0.000004179738,0.00004651493,0.0006121717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251557,"threshold_uncertainty_score":0.5371975,"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."}}