{"id":"W3090690708","doi":"10.1016/j.cjca.2020.07.106","title":"OVER-READING OF CONTINUOUS CARDIAC TELEMETRY EMBEDDED IN THE ELECTRONIC MEDICAL RECORD IMPROVED OUTCOMES FOR UNSELECTED GENERAL CARDIOLOGY IN-PATIENTS","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Coronary care unit; Referral; Subclinical infection; Intensive care unit; Emergency medicine; Family medicine; Myocardial infarction","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":[0.00112759,0.0002365488,0.0004164693,0.0003772621,0.0002922308,0.001238163,0.0002450546,0.0005886598,0.0013419],"category_scores_gemma":[0.01193147,0.0001344737,0.0004543426,0.0006036171,0.0002147698,0.0006329846,0.0004529866,0.0008453848,0.0002737136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633559,"about_ca_system_score_gemma":0.0004627915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918488,"about_ca_topic_score_gemma":0.005059346,"domain_scores_codex":[0.9989537,0.0004227232,0.0001165645,0.0001854979,0.0002067745,0.0001147317],"domain_scores_gemma":[0.9932703,0.002972941,0.002185112,0.0004734252,0.0005945151,0.0005037322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001187499,0.0003733158,0.9763277,0.00009080277,0.0001591076,0.0001217786,0.0002843453,0.00006005653,0.0006958907,0.00004140036,0.0006158557,0.02004239],"study_design_scores_gemma":[0.00002881084,0.0007905415,0.9974292,0.00004353245,0.0001825838,0.0001741173,0.0002716863,0.0003558521,0.0002673268,0.00007819501,0.0003684606,0.000009673975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979482,0.0004801466,0.0001022387,0.0002476587,0.00006316209,0.000009401781,0.0002567063,0.00001398464,0.0008785382],"genre_scores_gemma":[0.9989805,0.0002067595,0.0001410074,0.0001942324,0.00007311143,0.000003923471,0.0001919435,0.000003365589,0.0002051754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002918488,"threshold_uncertainty_score":0.005963326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719898416765889,"score_gpt":0.2896964583207661,"score_spread":0.2724974741531072,"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."}}