{"id":"W4408962403","doi":"10.1016/s0735-1097(25)01849-2","title":"ARTIFICIAL INTELLIGENCE IN CINE CMR FOR NON-INVASIVE DETECTION OF HYPERTROPHIC CARDIOMYOPATHY","year":2025,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Cardiology; Internal medicine; Cardiomyopathy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008854704,0.0002983726,0.0003459223,0.0007653433,0.000164457,0.001044106,0.0004221279,0.000436103,0.001308794],"category_scores_gemma":[0.004274282,0.0001514379,0.000312533,0.0002899446,0.0001986144,0.0003807168,0.0003532629,0.0006813912,0.0002671171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300395,"about_ca_system_score_gemma":0.00041659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763151,"about_ca_topic_score_gemma":0.003336877,"domain_scores_codex":[0.9996934,0.000148468,0.0000263031,0.00004395821,0.00006590186,0.0000219134],"domain_scores_gemma":[0.9979433,0.001688497,0.00009908307,0.00005914016,0.0001601063,0.00004983569],"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":[0.0006102842,0.0008906714,0.02788421,0.0003775448,0.0002171488,0.0006481311,0.0002137176,0.06928807,0.02612916,0.00545639,0.004411822,0.8638729],"study_design_scores_gemma":[0.00002512794,0.000266392,0.0138064,0.00005207093,0.0000561209,0.000379664,0.00008708728,0.9734553,0.004640095,0.00583486,0.001378737,0.00001814467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.34465,0.00779171,0.6269847,0.002960516,0.0003398274,0.0003028213,0.0005258042,0.001572482,0.01487219],"genre_scores_gemma":[0.8698546,0.001459853,0.1255876,0.0003894786,0.0001764011,0.00009530867,0.0002098066,0.0000488235,0.002178117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001763151,"threshold_uncertainty_score":0.004682899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148323078459437,"score_gpt":0.266339668945539,"score_spread":0.2548564381609446,"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."}}