{"id":"W4409534712","doi":"10.1016/j.hrthm.2025.04.023","title":"Visualization of acute atrial injury after ablation by contrast-enhanced T1-weighted short inversion time cardiac magnetic resonance imaging","year":2025,"lang":"en","type":"article","venue":"Heart Rhythm","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"Biosense Webster; Amsterdam University Medical Centers","keywords":"Medicine; Magnetic resonance imaging; Ablation; Cardiac magnetic resonance imaging; Cardiac magnetic resonance; Nuclear magnetic resonance; Visualization; Cardiology; Contrast (vision); Radiology; Internal medicine; 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":[0.0001974669,0.0001407047,0.0003778822,0.0001841778,0.00006112274,0.00001859209,0.00002588929,0.00007910842,0.0002733333],"category_scores_gemma":[0.00004312069,0.0001367231,0.0001912912,0.0004325641,0.00004792673,0.0001633221,0.00004356309,0.00006547062,0.00005133473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006908461,"about_ca_system_score_gemma":0.00004915141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001570185,"about_ca_topic_score_gemma":6.033995e-7,"domain_scores_codex":[0.9988344,0.00008012944,0.0003880308,0.0002477454,0.0002691523,0.0001805199],"domain_scores_gemma":[0.9994954,0.00006550067,0.00006122287,0.0002017711,0.0001268555,0.0000492194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009550178,0.0000480413,0.4345532,0.0003602925,0.0004443091,0.0000235441,0.0006334769,0.00001799144,0.305426,0.0007208156,0.1267012,0.1215209],"study_design_scores_gemma":[0.006954551,0.000676845,0.3512134,0.0008960344,0.002318943,0.00001149555,0.00008753347,0.02680907,0.1738444,0.0003810498,0.4359938,0.0008129799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841386,0.004684027,0.003970072,0.002228479,0.001010081,0.001633152,0.00006216528,0.000179598,0.002093833],"genre_scores_gemma":[0.9921371,0.0002186143,0.0003510103,0.000374152,0.0004235488,0.000006359923,0.0002213108,0.00001801543,0.00624989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3092926,"threshold_uncertainty_score":0.5575408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008589325719737351,"score_gpt":0.2942400607455066,"score_spread":0.2856507350257692,"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."}}