{"id":"W1592966439","doi":"","title":"Characteristics of wind turbine noise","year":2009,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Turbine; Noise (video); Microphone; Wind power; Acoustics; Environmental science; Range (aeronautics); Amplitude; Marine engineering; Wind speed; Meteorology; Engineering; Electrical engineering; Computer science; Physics; Aerospace engineering; Sound pressure; Optics","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":[0.0001957402,0.0003095421,0.0004393183,0.001072557,0.0003574125,0.0003796733,0.0002600247,0.0004966763,0.002083522],"category_scores_gemma":[0.001245261,0.0001260915,0.0001551438,0.001024841,0.0002434447,0.0002530936,0.0001915683,0.0002262171,0.001024603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913267,"about_ca_system_score_gemma":0.0001479837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278319,"about_ca_topic_score_gemma":0.002654133,"domain_scores_codex":[0.9994175,0.00003964057,0.00002945174,0.00008743699,0.0003676421,0.00005825148],"domain_scores_gemma":[0.9986244,0.0004218128,0.0001308362,0.00004429382,0.0007035439,0.00007509383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001570498,0.0002817011,0.1323848,0.0009475446,0.0001190903,0.004517304,0.00231147,0.01730506,0.6773076,0.001151168,0.003786123,0.1583176],"study_design_scores_gemma":[0.00005160899,0.001426681,0.8487846,0.0001338209,0.0001312592,0.009305491,0.001639505,0.02318745,0.09349041,0.0007783263,0.02089304,0.0001777044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474584,0.001311648,0.02706502,0.0001027801,0.0001247769,0.0001603644,0.001247757,0.0003694666,0.02215971],"genre_scores_gemma":[0.9945626,0.0002662359,0.001321678,0.00004332946,0.0000298505,0.0000447495,0.0008877288,0.00005097051,0.002792999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002278319,"threshold_uncertainty_score":0.006970048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005569253414029901,"score_gpt":0.1837445999369909,"score_spread":0.178175346522961,"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."}}