{"id":"W3014210181","doi":"10.4037/ccn2020363","title":"Double Trouble: Patients With Both True and False Arrhythmia Alarms","year":2020,"lang":"en","type":"article","venue":"Critical Care Nurse","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"College & Association of Registered Nurses of Alberta","funders":"","keywords":"Medicine; Intensive care unit; ALARM; False alarm; Electrocardiography; Intensive care; Cardiac arrhythmia; Coronary care unit; Emergency medicine; Medical emergency; Intensive care medicine; Cardiology; Atrial fibrillation; Artificial intelligence; Computer science; Myocardial infarction","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":[0.00150384,0.0005392627,0.0007309104,0.001081159,0.0006757752,0.001056465,0.0005008142,0.0008091177,0.003180383],"category_scores_gemma":[0.009907985,0.0002841159,0.0004238472,0.0007411732,0.0007043768,0.001058328,0.0008822338,0.001037969,0.0004812165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917692,"about_ca_system_score_gemma":0.0003826346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004600366,"about_ca_topic_score_gemma":0.0005646817,"domain_scores_codex":[0.9982495,0.0003839941,0.0003564391,0.0003354619,0.0004103448,0.0002643061],"domain_scores_gemma":[0.9852866,0.004842589,0.007094096,0.0006693146,0.0008577032,0.001249752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002561757,0.00003738579,0.9910592,0.00002868505,0.00002850629,0.002602448,0.0001312005,0.00005179076,0.0002793072,0.00005178548,0.0004001849,0.005073267],"study_design_scores_gemma":[0.0000502527,0.0004083687,0.9205869,0.00009819371,0.0001226306,0.07381639,0.001017372,0.001464393,0.0006633701,0.0005300423,0.001199601,0.00004249017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955095,0.0006883927,0.001289654,0.0003800527,0.00007349769,0.00003329194,0.0001722505,0.00004395375,0.001809479],"genre_scores_gemma":[0.9986059,0.0001086945,0.0006978732,0.0002331571,0.0001026855,0.00001166464,0.000128549,0.000009130532,0.000102343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003180383,"threshold_uncertainty_score":0.01063943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934030101354263,"score_gpt":0.3190525929038435,"score_spread":0.2897122918903008,"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."}}