{"id":"W4414714352","doi":"10.1016/j.cjca.2025.08.100","title":"P137 TOWARDS AUTOMATED DIAGNOSIS OF INHERITED ARRHYTHMIAS: A NEURAL NETWORK FOR COMBINED ARVC AND LQTS CLASSIFICATION","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Pattern recognition (psychology); Deep neural networks; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005212071,0.0006324337,0.0004156746,0.0007137263,0.0002687817,0.0007978175,0.000552913,0.00083393,0.002718882],"category_scores_gemma":[0.001425777,0.0001783374,0.0004380873,0.0003728649,0.000137959,0.0004224511,0.0005049889,0.0006897906,0.000955644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758379,"about_ca_system_score_gemma":0.0005651598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006878873,"about_ca_topic_score_gemma":0.006807144,"domain_scores_codex":[0.9997419,0.00004355651,0.00001922228,0.00007961906,0.00006886297,0.00004685123],"domain_scores_gemma":[0.999619,0.0001535216,0.00002925064,0.00002405766,0.0001518067,0.00002236903],"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":[0.0005334256,0.0003128735,0.0130982,0.0001145248,0.0001532864,0.0004154475,0.00004565327,0.0624752,0.0272636,0.0007930262,0.00579785,0.888997],"study_design_scores_gemma":[0.00002111455,0.0001346238,0.005057164,0.00002792559,0.00006638216,0.0001689308,0.00002500185,0.9853726,0.007216967,0.0009009554,0.00099657,0.00001178898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3614245,0.003045177,0.6197926,0.001325941,0.0004555649,0.0002100061,0.001519426,0.003359403,0.008867228],"genre_scores_gemma":[0.9116759,0.0004544326,0.08006209,0.0002262933,0.0001434546,0.00005724217,0.0008967633,0.00005492429,0.006428844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006878873,"threshold_uncertainty_score":0.01367766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599236244230134,"score_gpt":0.2906141575561505,"score_spread":0.2646217951138491,"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."}}