{"id":"W6991757271","doi":"","title":"Increasing Detectability and Reducing Annoyance of Alarm Design Using Acoustic Structures of Musical Instruments","year":2023,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; U.S. Navy","keywords":"Annoyance; ALARM; Pitch (Music); Tone (literature); False alarm; Musical tone; Auditory system; Harmonics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005164389,0.0004765797,0.0002682876,0.0003144713,0.0001342639,0.0006559466,0.0004088824,0.0004896225,0.002087514],"category_scores_gemma":[0.003246008,0.0002542335,0.0002711678,0.0001177045,0.0003078772,0.0006680705,0.0006261172,0.0004162182,0.0003067404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631055,"about_ca_system_score_gemma":0.0001365113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332615,"about_ca_topic_score_gemma":0.0003943284,"domain_scores_codex":[0.9996212,0.00008107493,0.00003750345,0.0001089315,0.0001111168,0.00004027034],"domain_scores_gemma":[0.9988762,0.0004807933,0.0002888652,0.0001083736,0.0001628439,0.00008291357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004991144,0.0001292917,0.001185604,0.0001924541,0.0000150871,0.00005581059,0.0001504217,0.0007685473,0.9724078,0.0001390288,0.00005685412,0.02439998],"study_design_scores_gemma":[0.0003173014,0.01283653,0.06259742,0.00009154539,0.0003650971,0.001104932,0.000476538,0.02998728,0.8840746,0.001180237,0.006849446,0.0001191873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700308,0.000339241,0.02793716,0.00009314754,0.00004355793,0.00008203607,0.00005690987,0.0001523182,0.001264786],"genre_scores_gemma":[0.9598536,0.0001991117,0.0388835,0.00008044655,0.00001811226,0.0000651122,0.00007300731,0.00007008842,0.0007570445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002087514,"threshold_uncertainty_score":0.006983399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06629206131388567,"score_gpt":0.3161760815926635,"score_spread":0.2498840202787779,"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."}}