{"id":"W2901105394","doi":"10.1016/j.jcmg.2018.05.028","title":"Assessment of Myocardial Fibrosis Using Multimodality Imaging in Severe Aortic Stenosis","year":2018,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Cardiology; Myocardial fibrosis; Internal medicine; Stenosis; Trichrome stain; Cardiac imaging; Magnetic resonance imaging; Fibrosis; Ventricle; Aortic valve; Aortic valve stenosis; Radiology","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":[0.0006904597,0.0003362223,0.001072919,0.0002948708,0.000124853,0.00005487677,0.0001144974,0.00005596674,0.00005361905],"category_scores_gemma":[0.0000899458,0.0003303193,0.004101886,0.0004812716,0.0001729997,0.0002720703,0.000175078,0.0001781473,0.000009710544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327379,"about_ca_system_score_gemma":0.0002494977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021773,"about_ca_topic_score_gemma":0.000001940912,"domain_scores_codex":[0.9971443,0.000220514,0.0005524221,0.0006666613,0.0008672785,0.0005487655],"domain_scores_gemma":[0.998202,0.00005066254,0.0001305603,0.00106455,0.0003403492,0.0002118913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005244264,0.0001806959,0.9643828,0.0001400484,0.002800499,0.00008536458,0.0001100208,0.000418038,0.001456604,0.000007380691,0.00003085347,0.03033523],"study_design_scores_gemma":[0.003901924,0.00003049643,0.9789562,0.0003235042,0.003785891,0.00005152876,0.0003330076,0.01161091,0.0005593344,0.00002728408,0.0001224178,0.0002974937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906878,0.002748364,0.002566874,0.00006353675,0.0004113564,0.0007174937,0.00005863814,0.000069456,0.002676524],"genre_scores_gemma":[0.99451,0.00007094928,0.004765966,0.0001220551,0.000382423,0.0000345712,0.00004199398,0.00006498727,0.000007066636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03003774,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611385090356628,"score_gpt":0.3388552928250261,"score_spread":0.3227414419214599,"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."}}