{"id":"W2345775266","doi":"10.1002/jmri.25267","title":"3T MRI investigation of cardiac left ventricular structure and function in a UK population: The tayside screening for the prevention of cardiac events (TASCFORCE) study","year":2016,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; University of Toronto","funders":"Medical Research Council; Wellcome Trust","keywords":"Ejection fraction; Medicine; Steady-state free precession imaging; Stroke volume; Nuclear medicine; Magnetic resonance imaging; Population; Cardiology; Internal medicine; Ventricular function; Cardiac magnetic resonance imaging; Radiology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00120043,0.0001196742,0.0003909107,0.0001431974,0.00006927379,0.00001495265,0.00007867253,0.00003136213,0.000006488767],"category_scores_gemma":[0.0006527691,0.00006462531,0.0002091461,0.0001866326,0.00008247988,0.0001374886,0.00003245499,0.0001508461,9.426667e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004828267,"about_ca_system_score_gemma":0.00006611921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009052435,"about_ca_topic_score_gemma":0.000005408386,"domain_scores_codex":[0.9984683,0.0001851923,0.0006047274,0.0001357973,0.0004581883,0.0001478248],"domain_scores_gemma":[0.9983543,0.0006030995,0.0005146578,0.0002192266,0.0002630419,0.00004563445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001921706,0.00002017345,0.8784524,0.00003593601,0.00004758915,0.000002607354,0.0003733875,0.00009217011,0.00199014,0.00001314087,0.0002153097,0.118565],"study_design_scores_gemma":[0.00156923,0.0003344543,0.9928676,0.0007445634,0.0006097468,0.00004635782,0.0007944462,0.0003042735,0.001065671,0.000978312,0.0006191652,0.00006619186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612118,0.03387212,0.002391804,0.00134024,0.0003622045,0.000795908,0.00001516285,0.00000352907,0.000007202447],"genre_scores_gemma":[0.998379,0.0003990098,0.000876836,0.00003808753,0.0002440346,0.000007803477,0.000003510707,0.00001372862,0.00003797858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184988,"threshold_uncertainty_score":0.2635344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101224497681602,"score_gpt":0.2621058290379752,"score_spread":0.2510935840611592,"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."}}