{"id":"W2346620756","doi":"10.1121/1.4950354","title":"An evaluation of how nightly variations in wind turbine noise levels influence wrist actigraphy measured sleep patterns","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Health Canada","funders":"","keywords":"Actigraphy; Turbine; Noise (video); Sleep (system call); Wind speed; Audiology; Environmental science; Wind power; QUIET; Statistics; Acoustics; Psychology; Meteorology; Medicine; Mathematics; Computer science; Engineering; Geography; Electrical engineering; Physics; Circadian rhythm","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":[0.004144071,0.0001244518,0.0003378586,0.00004800549,0.0002412572,0.00000599497,0.0005386925,0.0000861756,0.0001174304],"category_scores_gemma":[0.0007886735,0.00005530253,0.0002176212,0.0003334928,0.0002560616,0.000215415,0.0001095068,0.0004254472,0.000002233193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679185,"about_ca_system_score_gemma":0.0002171879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001922112,"about_ca_topic_score_gemma":0.00001424685,"domain_scores_codex":[0.9964399,0.001619569,0.000589415,0.0001022847,0.0009932411,0.0002556371],"domain_scores_gemma":[0.9964425,0.001183404,0.001087922,0.0004309164,0.000767706,0.00008753878],"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":[0.0006680936,0.001272639,0.06425469,0.0004927911,0.001003413,0.000001259657,0.01713579,0.02252232,0.7992127,0.000100454,0.01580028,0.07753558],"study_design_scores_gemma":[0.002270865,0.0004935758,0.9587609,0.0008091807,0.0008828107,0.000002053964,0.003921573,0.02927656,0.001192021,0.001887507,0.0003455424,0.0001574653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514904,0.00007228888,0.1284549,0.0188542,0.0003072844,0.0007035356,0.0000389184,0.000007416335,0.00007111712],"genre_scores_gemma":[0.9962723,0.0001091612,0.002536157,0.0008909397,0.0001407174,0.000006569164,3.78822e-7,0.00001199029,0.00003180912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8945062,"threshold_uncertainty_score":0.2255172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388844782708552,"score_gpt":0.3588237812017986,"score_spread":0.3149353333747131,"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."}}