{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126454,0.0001738208,0.001394584,0.0004729301,0.00004660873,0.000003493893,0.0003132391,0.0005015893,0.000005628161],"category_scores_gemma":[0.002912953,0.0001331476,0.0003147695,0.000421837,0.0001527856,0.00003936993,0.00001388939,0.001110002,6.215997e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965375,"about_ca_system_score_gemma":0.002227354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183492,"about_ca_topic_score_gemma":0.001448156,"domain_scores_codex":[0.9975393,0.0004760194,0.0008757057,0.0002088397,0.000180581,0.00071956],"domain_scores_gemma":[0.9984203,0.0004324519,0.0002779747,0.0001962034,0.0002819199,0.0003911333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002976649,0.000004324936,0.9894267,0.00004086619,0.0002518455,0.0001279096,0.0003111773,0.00002482355,0.0001945165,0.0001800845,0.001022679,0.008117424],"study_design_scores_gemma":[0.004672566,0.003763642,0.974799,0.00007460298,0.0001464965,0.0001299429,0.0004147433,0.00009438732,0.0001417376,0.0001649237,0.01542867,0.0001693122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948013,0.0003926074,0.0003936634,0.002728464,0.0009068117,0.0005595933,0.00002606035,0.000007981324,0.0001835228],"genre_scores_gemma":[0.9981337,0.00006471202,0.0001192473,0.0008445845,0.0007694901,0.00001963635,0.0000240676,0.00001928937,0.00000532114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462771,"threshold_uncertainty_score":0.5429601,"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."}}