{"id":"W4316814089","doi":"10.1016/j.bja.2022.10.045","title":"Improving detectability of auditory interfaces for medical alarms through temporal variation in amplitude envelope","year":2023,"lang":"en","type":"article","venue":"British Journal of Anaesthesia","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Variation (astronomy); Envelope (radar); Amplitude; Audiology; Speech recognition; Computer science; Acoustics; Physics; Medicine; Telecommunications; Optics","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":[0.0008934418,0.0004881104,0.0003170795,0.0005681146,0.0001342563,0.0008454553,0.0003051909,0.0007865787,0.002058876],"category_scores_gemma":[0.01069487,0.0002185542,0.0002501524,0.0003653075,0.0002113434,0.001010713,0.0006104538,0.0007160706,0.0006022895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168187,"about_ca_system_score_gemma":0.0001984417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003135082,"about_ca_topic_score_gemma":0.0003271084,"domain_scores_codex":[0.9993812,0.0001566926,0.00003630681,0.0001106269,0.0002651947,0.00004996874],"domain_scores_gemma":[0.9960344,0.003040471,0.0002401813,0.0001554125,0.0004540729,0.00007537098],"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":[0.00211616,0.0001911318,0.004422858,0.0003161,0.00005656681,0.0001923703,0.0002085503,0.004874286,0.663505,0.000597024,0.000608417,0.3229116],"study_design_scores_gemma":[0.0001947985,0.002505315,0.1201983,0.0001909257,0.0004047175,0.002963017,0.0001966428,0.3886394,0.4776312,0.002574831,0.004364272,0.0001367234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546758,0.001380163,0.3364606,0.0004007303,0.0002426247,0.0001090263,0.0003052682,0.001465978,0.004959802],"genre_scores_gemma":[0.9346833,0.0006227291,0.06282306,0.0001750006,0.00009739459,0.00003899045,0.0002116925,0.0002351151,0.00111272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002058876,"threshold_uncertainty_score":0.006887615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803679204619079,"score_gpt":0.3174147581316722,"score_spread":0.2893779660854814,"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."}}