{"id":"W4411255293","doi":"10.1161/circep.124.013611","title":"Feasibility of Machine Learned Intracardiac Electrograms to Predict Postinfarction Ventricular Scar Topography","year":2025,"lang":"en","type":"article","venue":"Circulation Arrhythmia and Electrophysiology","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Intracardiac injection; Cardiology; Internal medicine; Ventricular 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":[0.001686711,0.0005459624,0.0002544779,0.0007533898,0.0001105326,0.0005838558,0.0002833955,0.0005499185,0.0008483503],"category_scores_gemma":[0.004377863,0.0001383128,0.0002432081,0.0002235564,0.0002024423,0.0004399691,0.0002984144,0.0003385696,0.0003236098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465838,"about_ca_system_score_gemma":0.0003151877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098245,"about_ca_topic_score_gemma":0.001438484,"domain_scores_codex":[0.9996814,0.0001080959,0.00002397588,0.00008283515,0.00005799544,0.0000457721],"domain_scores_gemma":[0.9979527,0.001288264,0.0002035873,0.0001083722,0.000361616,0.00008541396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00217494,0.0006194429,0.4523804,0.0001038253,0.0003587092,0.0002007882,0.00009621208,0.1213327,0.03573008,0.0004554553,0.001448854,0.3850986],"study_design_scores_gemma":[0.00003403085,0.000426445,0.1007051,0.00002082241,0.00006329198,0.0001670219,0.000031621,0.8906843,0.00704663,0.0005107046,0.0002903025,0.00001978118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644893,0.0003906002,0.03274575,0.0001721148,0.00002788244,0.00004499673,0.0002415784,0.0002694441,0.001618308],"genre_scores_gemma":[0.995468,0.00005020175,0.003991656,0.00001886073,0.000009088094,0.00001029821,0.0001915664,0.000007265457,0.0002530262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001686711,"threshold_uncertainty_score":0.008920252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091800596093558,"score_gpt":0.2809721641858482,"score_spread":0.2717921045764924,"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."}}