{"id":"W4410136242","doi":"10.1007/s10840-025-02042-7","title":"Quantitative cardiac magnetic resonance standardized signal intensity comparison in dilated cardiomyopathy vs. cardiac sarcoidosis","year":2025,"lang":"en","type":"article","venue":"Journal of Interventional Cardiac Electrophysiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association","keywords":"Medicine; Magnetic resonance imaging; Cardiac sarcoidosis; Cardiology; Intensity (physics); Cardiac magnetic resonance; Internal medicine; Dilated cardiomyopathy; Endocardium; Nuclear medicine; Cardiac magnetic resonance imaging; Area under the curve; Cardiomyopathy; Radiology; Sarcoidosis; Heart failure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001435953,0.0004508278,0.003073026,0.0009296816,0.0001172517,0.00004941505,0.0002412313,0.0002668767,0.00004666103],"category_scores_gemma":[0.001070935,0.0004177107,0.003172593,0.0009979049,0.0003526428,0.0001594801,0.0001491698,0.001373339,0.000019768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207251,"about_ca_system_score_gemma":0.0007569938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391453,"about_ca_topic_score_gemma":0.000003698371,"domain_scores_codex":[0.9954106,0.001032522,0.001653823,0.000513625,0.0007072183,0.0006821703],"domain_scores_gemma":[0.9960391,0.000867398,0.0005481574,0.0004005783,0.001937507,0.000207251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03241186,0.001448222,0.6858207,0.0004808748,0.004193844,0.0005258384,0.0004198173,0.0005988645,0.1800811,0.004079237,0.07145409,0.01848553],"study_design_scores_gemma":[0.003650879,0.006111243,0.956205,0.001279335,0.001435929,0.00006590926,0.0003649821,0.0001908962,0.01352318,0.001411155,0.01532968,0.0004318363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108043,0.08264831,0.0008627238,0.0008207049,0.00302959,0.000532072,0.0002035406,0.0000413887,0.001057345],"genre_scores_gemma":[0.996226,0.001360095,0.001227945,0.0002740169,0.0004757969,0.00003510648,0.00008937818,0.00004107841,0.0002706081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2703843,"threshold_uncertainty_score":0.9998274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176703799034742,"score_gpt":0.3098572058390059,"score_spread":0.2980901678486585,"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."}}