{"id":"W2329632474","doi":"10.1121/1.4942403","title":"Estimating annoyance to calculated wind turbine shadow flicker is improved when variables associated with wind turbine noise exposure are considered","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Annoyance; Turbine; Confidence interval; Wind power; Environmental science; Flicker; Noise (video); Statistics; Wind speed; Odds ratio; Meteorology; Medicine; Mathematics; Audiology; Computer science; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01616253,0.000944055,0.0009390492,0.001072604,0.000530071,0.001889941,0.0007607093,0.0007152645,0.001190452],"category_scores_gemma":[0.04877875,0.0005658902,0.002264831,0.001931474,0.0006837933,0.001084063,0.001231378,0.0009985508,0.0003950141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213599,"about_ca_system_score_gemma":0.001446707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04122737,"about_ca_topic_score_gemma":0.08757483,"domain_scores_codex":[0.9899538,0.006234842,0.0008225523,0.0009889991,0.001621235,0.0003786126],"domain_scores_gemma":[0.955715,0.02907923,0.007746186,0.003165044,0.003597162,0.0006974135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001338889,0.00005017386,0.9922487,0.00003914205,0.0003283631,0.00001913524,0.0001738258,0.0002102185,0.0001037785,0.000009939782,0.00009989861,0.006582895],"study_design_scores_gemma":[0.000008192888,0.0002710231,0.9975808,0.00002415414,0.0002209806,0.00004316915,0.0001658268,0.001365501,0.0001065683,0.00002916175,0.000174763,0.000009893241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946014,0.0008752031,0.002449196,0.0002853963,0.00003518738,0.00005676262,0.0004574838,0.00004800146,0.001191463],"genre_scores_gemma":[0.9953322,0.0005004856,0.003072343,0.0001032601,0.00003835356,0.00002892887,0.0005173867,0.00001155207,0.0003954778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04122737,"threshold_uncertainty_score":0.08547664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893121427546554,"score_gpt":0.2976719936036435,"score_spread":0.278740779328178,"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."}}