{"id":"W3165985084","doi":"10.1016/j.apergo.2021.103432","title":"Decaying amplitude envelopes reduce alarm annoyance: Exploring new approaches to improving auditory interfaces","year":2021,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; McMaster University","keywords":"Annoyance; ALARM; Melody; Computer science; Soundscape; False alarm; Human–computer interaction; Sound (geography); Artificial intelligence; Engineering; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002339005,0.0002399057,0.0003901653,0.0001485673,0.0001792026,0.00004037569,0.0001866241,0.0002112018,0.00001638151],"category_scores_gemma":[0.0001019792,0.0002661789,0.00005672387,0.0002757137,0.00004505272,0.0001203208,0.0002561353,0.0005128031,0.00009488635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081504,"about_ca_system_score_gemma":0.0004328424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006273173,"about_ca_topic_score_gemma":0.00002562134,"domain_scores_codex":[0.9983263,0.00001810648,0.0004179646,0.0006073473,0.0001309645,0.0004993062],"domain_scores_gemma":[0.998925,0.00009373427,0.0001043285,0.0005334577,0.0000350522,0.0003084785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000577927,0.0001416091,0.012526,0.0004318361,0.0001883169,0.00004840734,0.005021206,0.0005412673,0.09481995,0.007053833,0.001064003,0.8775856],"study_design_scores_gemma":[0.001469423,0.0002073273,0.02996687,0.0004206692,0.000110771,0.0000703054,0.006771372,0.00009819044,0.9102372,0.0005341368,0.0493078,0.0008059654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906117,0.000522987,0.004009341,0.001225809,0.001382481,0.0003902272,0.00000263686,0.0003199941,0.001534826],"genre_scores_gemma":[0.9565229,0.0001469056,0.04121494,0.0003529055,0.001262731,0.0001560008,0.00001957655,0.00005081214,0.0002731801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8767797,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2829889682648719,"score_gpt":0.3024925068940006,"score_spread":0.01950353862912874,"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."}}