{"id":"W4415792576","doi":"10.1161/circ.152.suppl_3.4370598","title":"Abstract 4370598: Machine Learning Models to Predict High Atrial Fibrillation Burden Post-Catheter Ablation in Patients with Persistent AF: Insights from the DECAAF II Trial","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Catheter ablation; Ablation; Stroke (engine); Pulmonary vein; Ablation Therapy; Heart failure; Cardiac Ablation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008643859,0.0006703924,0.0008421944,0.0004167717,0.0001462988,0.0006678524,0.0004274112,0.000492694,0.001087192],"category_scores_gemma":[0.006409203,0.0001496148,0.0008683288,0.0003448213,0.0001878341,0.0004828875,0.0003730626,0.001019128,0.0002319552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110153,"about_ca_system_score_gemma":0.0005142483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083137,"about_ca_topic_score_gemma":0.001008189,"domain_scores_codex":[0.998587,0.001077734,0.00005626632,0.000115942,0.0001011387,0.00006184611],"domain_scores_gemma":[0.996523,0.002713868,0.000284121,0.0001877246,0.0001643973,0.0001268427],"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":[0.02268072,0.002925951,0.5817819,0.0004131971,0.004806455,0.0001937971,0.0001489214,0.2299614,0.001156574,0.0009574455,0.008902917,0.1460707],"study_design_scores_gemma":[0.001894234,0.00595678,0.122846,0.0001601308,0.001039742,0.0002478501,0.00008613909,0.8618513,0.001062694,0.002707028,0.002099555,0.00004856292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863159,0.00163722,0.008303992,0.0009474655,0.00006649338,0.0001170253,0.001236947,0.00008972827,0.001285116],"genre_scores_gemma":[0.9923987,0.0002893706,0.004561395,0.0001930063,0.00006532921,0.000107479,0.001915161,0.00001310028,0.0004564842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008643859,"threshold_uncertainty_score":0.04571366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178861117785377,"score_gpt":0.257558434146886,"score_spread":0.2257698229690322,"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."}}