{"id":"W2944459891","doi":"10.1111/anae.14690","title":"Mapping sources of noise in an intensive care unit","year":2019,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Noise Effects and Management","field":"Health Professions","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Research for Patient Benefit Programme; University of Oxford; National Institute for Health and Care Research; Oxford University Hospitals NHS Foundation Trust; Department of Health and Social Care; National Institute on Handicapped Research","keywords":"Medicine; Intensive care unit; Noise (video); Intensive care medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004208215,0.0002074855,0.0002248576,0.001525186,0.0004795013,0.0006436485,0.0003655248,0.0003253065,0.001294265],"category_scores_gemma":[0.002062274,0.0001704008,0.0001686344,0.001275891,0.000170057,0.0003675493,0.0006933239,0.0002362572,0.0004253726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328476,"about_ca_system_score_gemma":0.000564499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006038199,"about_ca_topic_score_gemma":0.0131753,"domain_scores_codex":[0.999483,0.000156796,0.00004631619,0.00006268516,0.0001922772,0.00005889333],"domain_scores_gemma":[0.9988804,0.000345923,0.0002737069,0.00005333914,0.0003495094,0.00009706125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007030241,0.0002283554,0.8245066,0.0004819543,0.00008526447,0.001298145,0.00570091,0.002182984,0.0280398,0.0001549607,0.00158968,0.1350282],"study_design_scores_gemma":[0.0000054561,0.000386525,0.9894645,0.0000562286,0.00002842936,0.0002709014,0.004494626,0.001707381,0.002253952,0.00008991982,0.001219484,0.00002255346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937815,0.0001777672,0.003493899,0.00007511349,0.00001212322,0.00007588721,0.0005654899,0.00004108683,0.001777181],"genre_scores_gemma":[0.9921071,0.0002712814,0.006095321,0.00003157638,0.00001750692,0.00007833152,0.0004222261,0.00001027296,0.0009664067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006038199,"threshold_uncertainty_score":0.0120061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434562959659252,"score_gpt":0.3602733787546339,"score_spread":0.3168170827887087,"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."}}