{"id":"W4411987497","doi":"10.1055/s-0045-1809615","title":"AI-Driven ECG: The Smart Future of Cardiology","year":2025,"lang":"en","type":"article","venue":"Libyan International Medical University Journal","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regina General Hospital; University of Saskatchewan","funders":"","keywords":"Cardiology; Internal medicine; Medicine; Computer science; Artificial intelligence","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":[0.0001879392,0.00007160286,0.0002231745,0.0001517044,0.0001327872,0.000005374201,0.0002847227,0.0001513273,0.000415725],"category_scores_gemma":[0.0001371881,0.00004991926,0.0002441315,0.0001460459,0.0002652979,0.00005397906,0.0001053238,0.0008088321,0.00001049117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000866693,"about_ca_system_score_gemma":0.0003862796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000594091,"about_ca_topic_score_gemma":0.000003442557,"domain_scores_codex":[0.999166,0.0001210494,0.0001536916,0.0001067106,0.0003211002,0.0001314893],"domain_scores_gemma":[0.9993791,0.0001332488,0.0000706497,0.0001125744,0.0001936894,0.0001107307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004983156,0.0002867343,0.151596,0.00007784163,0.006981242,0.01103193,0.000531388,0.0004433091,0.002225425,0.2466656,0.4907896,0.08438773],"study_design_scores_gemma":[0.002849956,0.0002362474,0.09622815,0.0001999134,0.0002486267,0.004655778,0.0007001792,0.0008912446,0.0001602074,0.002433246,0.8912955,0.0001009953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5546794,0.0004704505,0.01230227,0.3511608,0.008157528,0.0002033848,0.0000187401,0.00004486804,0.07296259],"genre_scores_gemma":[0.9896538,0.0007170425,0.0001393522,0.003791146,0.001701044,2.022407e-7,0.00001103437,0.000003713856,0.00398264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4349744,"threshold_uncertainty_score":0.4551898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004030061414687161,"score_gpt":0.2396472323212755,"score_spread":0.2356171709065883,"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."}}