{"id":"W4388420078","doi":"10.1161/circ.148.suppl_1.13832","title":"Abstract 13832: XplainScar: Explainable Artificial Intelligence to Identify and Localize Left Ventricular Scar in Hypertrophic Cardiomyopathy (HCM) Using 12-lead Electrocardiogram","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; QRS complex; Cardiology; Internal medicine; Basal (medicine); Magnetic resonance imaging; Radiology","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":[0.000839098,0.0007128952,0.0003500358,0.0006612092,0.0001399527,0.0004597343,0.0006247721,0.0005633048,0.004782734],"category_scores_gemma":[0.002754226,0.0001560615,0.0004248712,0.0003026325,0.000185958,0.0003901729,0.0006147599,0.0005717248,0.001115295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090708,"about_ca_system_score_gemma":0.0003784064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519784,"about_ca_topic_score_gemma":0.001567194,"domain_scores_codex":[0.9997162,0.0001019447,0.0000187133,0.00008476052,0.00006018583,0.00001816601],"domain_scores_gemma":[0.9992999,0.0004062523,0.00006734699,0.0001129725,0.00009473549,0.00001883748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006101484,0.0005116369,0.03752974,0.0003166207,0.000413708,0.0006174917,0.00009302649,0.2118357,0.007722287,0.001710053,0.03089195,0.7077475],"study_design_scores_gemma":[0.00004113201,0.0001257923,0.006946094,0.00001900794,0.00002461646,0.0001418822,0.000008024328,0.9869723,0.002276272,0.001426212,0.002007696,0.00001096509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3397344,0.00233594,0.6169739,0.001601549,0.000321271,0.0005589803,0.007789004,0.02470068,0.005984274],"genre_scores_gemma":[0.7945144,0.0006136715,0.1838319,0.0003682244,0.0002670384,0.0004903756,0.01361758,0.0004261124,0.005870783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004782734,"threshold_uncertainty_score":0.01599985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020234552769572,"score_gpt":0.3156570692742414,"score_spread":0.2754547237465457,"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."}}