{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001566392,0.000285833,0.0007314863,0.00003108649,0.0006281534,0.00001648823,0.0006043687,0.0001708252,0.0004507446],"category_scores_gemma":[0.00167603,0.0001200555,0.0002584081,0.0003824971,0.0004249833,0.0001321972,0.0003836363,0.0007693412,0.00001296563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457356,"about_ca_system_score_gemma":0.000248453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233671,"about_ca_topic_score_gemma":0.000007679854,"domain_scores_codex":[0.9970152,0.0006332254,0.0008661759,0.0002166366,0.000648531,0.0006202324],"domain_scores_gemma":[0.9947558,0.002129095,0.001610839,0.0005363799,0.0007326179,0.0002352694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00193968,0.0007257988,0.008436703,0.0005499845,0.003182359,0.00001805568,0.01521375,0.01548211,0.2437727,0.00001385416,0.7021037,0.008561329],"study_design_scores_gemma":[0.04591263,0.0121053,0.363558,0.04130524,0.01135731,0.0001494233,0.03748226,0.4413209,0.007346688,0.008730765,0.02668435,0.004047199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.651593,0.0003734584,0.2017614,0.141482,0.001197003,0.002857583,0.0002482565,0.00009730871,0.0003899221],"genre_scores_gemma":[0.9527055,0.00003999151,0.03136499,0.01375735,0.0003929169,0.000006929528,0.000001688896,0.00005490109,0.001675733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754193,"threshold_uncertainty_score":0.4935337,"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."}}