{"id":"W4381060507","doi":"10.1016/j.pcorm.2023.100332","title":"Improving auditory alarms: Reducing perceived annoyance with musical timbre (a randomized trial)","year":2023,"lang":"en","type":"article","venue":"Perioperative Care and Operating Room Management","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McMaster University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Timbre; Melody; Annoyance; ALARM; Speech recognition; Computer science; Audiology; Psychology; Musical; Loudness; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005562181,0.000322216,0.000756537,0.0002244861,0.0007197932,0.0001099405,0.0001027419,0.0001465913,0.00003500416],"category_scores_gemma":[0.0002234362,0.0002336691,0.00009179348,0.0003760126,0.0002001933,0.0001656395,0.0001652761,0.0004517984,0.0000253847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481151,"about_ca_system_score_gemma":0.0001031817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222405,"about_ca_topic_score_gemma":0.00001869955,"domain_scores_codex":[0.9978952,0.0002015528,0.0004399515,0.0006886151,0.0003175827,0.0004571367],"domain_scores_gemma":[0.9990139,0.0001262785,0.00009333267,0.000356849,0.0002556794,0.0001539655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3826626,0.0005334213,0.007917645,0.007853721,0.002706457,0.00335853,0.1888456,0.003190024,0.01300811,0.004329509,0.002716637,0.3828777],"study_design_scores_gemma":[0.856053,0.004711172,0.008157792,0.001975965,0.001201527,0.00006887712,0.104764,0.0153862,0.001138193,0.000009755315,0.005312415,0.001221117],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901611,0.000515746,0.0003200844,0.001106225,0.0004459045,0.003161957,0.000006751576,0.0004633699,0.003818813],"genre_scores_gemma":[0.9902168,0.0003348151,0.005238899,0.0005100202,0.0005176234,0.0008121918,0.00007442401,0.00004648995,0.00224876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4733903,"threshold_uncertainty_score":0.9528749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656303032311719,"score_gpt":0.2942212891056443,"score_spread":0.2776582587825271,"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."}}