{"id":"W3092446580","doi":"10.3390/healthcare8040389","title":"Re-Sounding Alarms: Designing Ergonomic Auditory Interfaces by Embracing Musical Insights","year":2020,"lang":"en","type":"review","venue":"Healthcare","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"ALARM; Perception; Musical; Computer science; Aviation; Component (thermodynamics); Human–computer interaction; Auditory perception; Psychology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175101,0.0008669234,0.001084526,0.002528683,0.0002334074,0.001550152,0.0009658156,0.001763324,0.003205771],"category_scores_gemma":[0.002073336,0.0002897774,0.000731691,0.001478879,0.0005612508,0.001908704,0.000829328,0.001480849,0.001729322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105989,"about_ca_system_score_gemma":0.001092453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009572383,"about_ca_topic_score_gemma":0.001358087,"domain_scores_codex":[0.9996203,0.00009367395,0.00006305054,0.0000599264,0.0001387049,0.00002425401],"domain_scores_gemma":[0.9990714,0.0006372369,0.00009165143,0.00002441707,0.0001469349,0.0000283001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003892038,0.00005226034,0.0001224396,0.03617101,0.0001086697,0.0001119206,0.0001688646,0.0003300928,0.001989059,0.004876415,0.007621382,0.9484088],"study_design_scores_gemma":[0.00003506331,0.0001722241,0.00138583,0.02422416,0.0003839076,0.001625315,0.0003006511,0.0003195656,0.001157807,0.006016498,0.9643337,0.00004526677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001633553,0.9978135,0.0005898993,0.0002631675,0.0001632089,0.000007586059,0.00001057422,0.00001031043,0.000978407],"genre_scores_gemma":[0.001462959,0.9963567,0.001204165,0.0002796716,0.0001425905,0.00001432756,0.00002341273,0.00000436991,0.0005118286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003205771,"threshold_uncertainty_score":0.01072437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105606534985757,"score_gpt":0.3916482739138323,"score_spread":0.2860417389280753,"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."}}