{"id":"W4399690494","doi":"10.55164/ajstr.v27i3.253184","title":"Noise Emission Assessment of a Utility-Scale Wind Power Plant: Case Study of a 90 MW Wind Power Plant in Mukdaharn Province, Northeastern Thailand","year":2024,"lang":"en","type":"article","venue":"ASEAN Journal of Scientific and Technological Reports","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Wind power; Turbine; Noise pollution; Environmental science; Noise (video); Marine engineering; Wind speed; Meteorology; Engineering; Acoustics; Computer science; Electrical engineering; Physics; Aerospace engineering; Noise reduction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003439147,0.0003630195,0.0002848733,0.0004659705,0.00083126,0.0006444578,0.000564439,0.0008450123,0.0006861136],"category_scores_gemma":[0.0004464035,0.0002089797,0.0002956731,0.0006112381,0.0004529179,0.0003545241,0.0005327777,0.0003699409,0.0001221367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009153975,"about_ca_system_score_gemma":0.0006954972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05095545,"about_ca_topic_score_gemma":0.09659824,"domain_scores_codex":[0.9997274,0.00007908524,0.00001449111,0.00004400891,0.00008688663,0.0000480214],"domain_scores_gemma":[0.9996581,0.0001525052,0.00004652362,0.00001753279,0.00007699508,0.00004845569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008580252,0.0016912,0.5756608,0.0007005405,0.0002031924,0.07976741,0.0105068,0.2473544,0.03077947,0.0015624,0.002205831,0.04870994],"study_design_scores_gemma":[0.00007821722,0.001611882,0.6352719,0.0001210405,0.0002118239,0.005308168,0.05220572,0.2892776,0.01188917,0.001015704,0.002862799,0.0001459668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981078,0.00001816344,0.0009060833,0.00003704317,0.000001806548,0.00002146235,0.00008265927,0.000009413334,0.0008156598],"genre_scores_gemma":[0.9985582,0.00004936686,0.0006840772,0.000006932516,0.000001692925,0.000009993463,0.00006641333,0.00000311913,0.0006201294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05095545,"threshold_uncertainty_score":0.1013177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945294838695457,"score_gpt":0.3538050165433384,"score_spread":0.3243520681563838,"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."}}