{"id":"W2326917121","doi":"10.5430/jha.v5n3p76","title":"Physician awareness of patient cardiac telemetry monitoring","year":2016,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemetry; Medicine; Medical emergency; Guideline; ALARM; Cardiac monitoring; Biotelemetry; Emergency medicine; Computer science; Cardiology; Engineering; Telecommunications; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004638516,0.00008920104,0.0002647808,0.0007830331,0.0003324081,0.0007065968,0.0002546468,0.0005226608,0.001638295],"category_scores_gemma":[0.04619421,0.0001748495,0.000216408,0.0004778491,0.0002911418,0.0006500147,0.0005466132,0.0007345764,0.0001741954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221173,"about_ca_system_score_gemma":0.0009217976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102986,"about_ca_topic_score_gemma":0.002809388,"domain_scores_codex":[0.991313,0.004618319,0.001291276,0.0004694258,0.001967261,0.0003407214],"domain_scores_gemma":[0.9183525,0.03738199,0.03359642,0.001964359,0.006425701,0.002279127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007360314,0.0001665147,0.9862849,0.00008220175,0.00003196231,0.0001153994,0.001532528,0.00008105794,0.0003027171,0.0000639538,0.0005805626,0.0106845],"study_design_scores_gemma":[0.0000071136,0.0003459032,0.9943599,0.00008353297,0.00002723587,0.0006307375,0.00180234,0.0007970958,0.0003246136,0.00006564254,0.001545864,0.00001007357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922569,0.0006518046,0.0007508334,0.001531387,0.00003523763,0.00006797791,0.0001949338,0.00001466062,0.004496315],"genre_scores_gemma":[0.9987399,0.0002411736,0.0003763396,0.0003444205,0.00003733726,0.00001990599,0.00005448635,0.000002065332,0.0001843522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004638516,"threshold_uncertainty_score":0.02453113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172257487627828,"score_gpt":0.3102059940375367,"score_spread":0.2929802452747539,"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."}}