{"id":"W3109175419","doi":"10.1016/j.jcmg.2020.09.037","title":"Progression of Myocardial Fibrosis in Hypertrophic Cardiomyopathy","year":2020,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Cardiology; Hypertrophic cardiomyopathy; Internal medicine; Ejection fraction; Myocardial fibrosis; Fibrosis; Magnetic resonance imaging; Heart failure; 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":[0.0006961323,0.0003162258,0.001557516,0.0002096222,0.00007820645,0.00002562678,0.0001390691,0.00008805704,0.00001007306],"category_scores_gemma":[0.0003192302,0.0002872957,0.002243315,0.0007722274,0.0001531411,0.0001630055,0.0002450179,0.0003383804,0.000019492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000912137,"about_ca_system_score_gemma":0.0001057826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008069819,"about_ca_topic_score_gemma":5.334965e-7,"domain_scores_codex":[0.9973013,0.0001905774,0.0005160857,0.0006241507,0.0009111877,0.000456731],"domain_scores_gemma":[0.9987904,0.00004990561,0.00008817356,0.000665672,0.0001943547,0.0002115393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00114879,0.0001817599,0.608911,0.001531711,0.004742806,0.003060606,0.003735603,0.001315577,0.0547968,0.00006776084,0.001898997,0.3186086],"study_design_scores_gemma":[0.01833585,0.0007186389,0.7730238,0.001961887,0.00652478,0.001730202,0.003844381,0.002496321,0.05721954,0.00008268592,0.1323172,0.001744728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094189,0.07496525,0.00282751,0.002315718,0.000587782,0.001329889,0.00002981624,0.0002471241,0.008277989],"genre_scores_gemma":[0.9963341,0.0007989,0.001540806,0.0003784562,0.0007961812,0.00006962351,0.0000171084,0.00005853283,0.000006292376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3168639,"threshold_uncertainty_score":0.9999579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687445181594728,"score_gpt":0.2520414939742435,"score_spread":0.2351670421582962,"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."}}