{"id":"W4407868045","doi":"10.1016/j.ahjo.2025.100514","title":"An advanced vision of magnetocardiography as an unrivalled method for a more comprehensive non-invasive clinical electrophysiological assessment","year":2025,"lang":"en","type":"article","venue":"American Heart Journal Plus Cardiology Research and Practice","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dell'Università e della Ricerca; Università degli Studi di Parma; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Magnetocardiography; Electrophysiology; Medicine; Computer science; Medical physics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004908474,0.0002772288,0.002048146,0.0005137029,0.0005733162,0.00004068224,0.0002021285,0.0002673347,0.000007634245],"category_scores_gemma":[0.00333241,0.0002157449,0.0006955831,0.0008580479,0.002234088,0.0003335738,0.0001246445,0.002338797,0.000002826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013362,"about_ca_system_score_gemma":0.001593682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000884266,"about_ca_topic_score_gemma":0.000001817854,"domain_scores_codex":[0.9900325,0.007219488,0.0007079249,0.000776902,0.0004331732,0.0008300099],"domain_scores_gemma":[0.9819103,0.01442749,0.0003000906,0.000600478,0.002209025,0.0005525432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.14398,0.001109974,0.01019125,0.0002216811,0.005736738,0.002089741,0.000269856,0.001468781,0.7467655,0.001680148,0.007578427,0.07890788],"study_design_scores_gemma":[0.01394922,0.2839523,0.621182,0.0002572395,0.001599201,0.02486322,0.01278178,0.002254949,0.002263204,0.009104277,0.02706932,0.0007233263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791154,0.001253889,0.01062711,0.006471845,0.0001867009,0.001353621,0.0000146368,0.00002861147,0.0009482381],"genre_scores_gemma":[0.9229143,0.007739805,0.06513492,0.003297881,0.0006863716,0.000117154,0.00004169249,0.00002506777,0.00004276264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7445023,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915847040063814,"score_gpt":0.5401753015625629,"score_spread":0.4810168311619247,"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."}}