{"id":"W4415793438","doi":"10.1161/circ.152.suppl_3.4370080","title":"Abstract 4370080: Detection of indication-relevant and incidental arrhythmias on ambulatory ECG recordings by artificial intelligence compared to ECG technicians","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"","keywords":"Supraventricular tachycardia; Ambulatory; Atrial fibrillation; Ambulatory ECG; Electrocardiography; Implantable loop recorder; Ventricular tachycardia; Tachycardia","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":[0.007203817,0.0003753906,0.0004955409,0.001332729,0.000133044,0.0008335563,0.000362396,0.0005963433,0.001199571],"category_scores_gemma":[0.0277859,0.0001255514,0.0004824752,0.0005804026,0.0002970536,0.0005124633,0.0005891057,0.0003896059,0.0004018061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854275,"about_ca_system_score_gemma":0.0002110239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003854831,"about_ca_topic_score_gemma":0.0002974221,"domain_scores_codex":[0.9939711,0.003528229,0.0004352767,0.0007295836,0.001180813,0.0001550162],"domain_scores_gemma":[0.9687581,0.0234706,0.003675851,0.001089988,0.001979448,0.001026049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004173377,0.0002271574,0.9286081,0.0001548947,0.0003337922,0.0001153884,0.0002225962,0.001406939,0.002670894,0.00005441036,0.0005044838,0.06152804],"study_design_scores_gemma":[0.0001979608,0.003306299,0.9648081,0.00005872317,0.0002934558,0.0008210163,0.000197294,0.02699894,0.002226494,0.0002537931,0.0008074325,0.00003052623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944211,0.0005807105,0.002378822,0.0001316751,0.00003491345,0.00003898511,0.0002370721,0.00006681932,0.002109804],"genre_scores_gemma":[0.9974726,0.0000977371,0.00186206,0.00006680473,0.0000368802,0.00001839979,0.000305518,0.000008544483,0.0001314686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007203817,"threshold_uncertainty_score":0.03809786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950840074464023,"score_gpt":0.2947535800402168,"score_spread":0.2752451792955766,"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."}}