{"id":"W4382651843","doi":"10.1016/j.hroo.2023.06.009","title":"Ventricular tachycardia risk prediction with an abbreviated duration mobile cardiac telemetry","year":2023,"lang":"en","type":"article","venue":"Heart Rhythm O2","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Svenska Läkaresällskapet; Vetenskapsrådet; Hjärt-Lungfonden; Svenska Sällskapet för Medicinsk Forskning","keywords":"Medicine; Confidence interval; Receiver operating characteristic; Ventricular tachycardia; Telemetry; Cardiology; Internal medicine; Population; Heart rate; Area under the curve; Tachycardia; Blood pressure; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004871934,0.0001380423,0.0002922112,0.0002309447,0.0002121456,0.0000112536,0.00002607647,0.0002216576,0.00002273761],"category_scores_gemma":[0.00009387224,0.000116276,0.00007660833,0.0009072541,0.0000396284,0.0001456597,0.00001813615,0.0003943929,0.0002218081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008683652,"about_ca_system_score_gemma":0.00008711138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278998,"about_ca_topic_score_gemma":0.000003970971,"domain_scores_codex":[0.9986607,0.0001440499,0.0002757398,0.0003060578,0.0002905801,0.0003228934],"domain_scores_gemma":[0.9991946,0.00004333709,0.00007713678,0.0004004841,0.0001267269,0.0001577395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001454821,0.00007596182,0.9777852,0.0001473202,0.000122124,0.0005336074,0.0002529466,0.0002090847,0.0003354413,0.00002538076,0.002887439,0.01748001],"study_design_scores_gemma":[0.001148026,0.002885633,0.9004264,0.0002644639,0.0002291578,0.0009194626,0.0004909198,0.002011671,0.006089629,0.00003497735,0.08524264,0.0002569658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965898,0.0003858303,0.0001120674,0.0002701251,0.000642824,0.0008337869,0.00004671797,0.00104034,0.00007853903],"genre_scores_gemma":[0.9977956,0.000321276,0.0004875633,0.00005228529,0.0006012311,0.0002061621,0.0003890464,0.00002976465,0.000117096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0823552,"threshold_uncertainty_score":0.4741597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685949006508469,"score_gpt":0.2914227742939711,"score_spread":0.2745632842288864,"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."}}