{"id":"W2510891140","doi":"","title":"Noise Control for High Plume Exhaust Fans: A Case Study","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":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Plenum space; Noise reduction; Noise (video); Noise control; Mixing (physics); Engineering; Casing; Automotive engineering; Damper; Airflow; Ambient noise level; Reduction (mathematics); Acoustics; Environmental science; Sound (geography); Mechanical engineering; Structural engineering; Computer science; Physics","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":[0.0001007603,0.0001586247,0.0001897671,0.0001347637,0.0001149365,0.00005010245,0.0001122227,0.00009251631,0.0001137338],"category_scores_gemma":[0.00008475944,0.0001328037,0.00004223538,0.00008389139,0.00002079792,0.0001096623,0.000004034239,0.00006772955,0.0000595675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189249,"about_ca_system_score_gemma":0.0001726001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007433612,"about_ca_topic_score_gemma":0.03459741,"domain_scores_codex":[0.999113,0.00001395455,0.0002117537,0.0001646605,0.00008153095,0.0004151091],"domain_scores_gemma":[0.9990302,0.000146751,0.00002036777,0.0002605127,0.0001001513,0.0004419574],"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":[0.0002396824,0.0004868783,0.02774712,0.0005110605,0.002442634,0.02648078,0.004376383,0.1478752,0.2798779,0.004993059,0.2604066,0.2445627],"study_design_scores_gemma":[0.05532624,0.002110368,0.02977442,0.0002200599,0.002057137,0.001688151,0.009498917,0.8483532,0.001289123,0.001249195,0.0440026,0.004430602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7198337,0.00006987201,0.2764491,0.0004243895,0.0006633173,0.001145977,0.0009872767,0.0001992222,0.0002270849],"genre_scores_gemma":[0.9984086,0.000005369528,0.0002104673,0.0003932292,0.000411187,0.0001657982,0.000004760194,0.00005250214,0.0003481438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.700478,"threshold_uncertainty_score":0.999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011702049197797,"score_gpt":0.2086762308464938,"score_spread":0.1985592103545158,"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."}}