{"id":"W2224717442","doi":"10.1016/j.cjca.2015.07.162","title":"4-DIMENSIONAL LEFT VENTRICULAR STRAIN ANALYSIS BY CARDIOVASCULAR MAGNETIC RESONANCE IMAGING: VALIDATION VERSUS 4D SPECKLE TRACKING ECHOCARDIOGRAPHY","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Radial stress; Cardiac cycle; Speckle tracking echocardiography; Magnetic resonance imaging; Short axis; Scanner; Nuclear medicine; Steady-state free precession imaging; Feature tracking; Ejection fraction; Radiology; Cardiology; Deformation (meteorology); Long axis; Artificial intelligence; Heart failure; Physics; Geometry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01173517,0.0009206363,0.001092182,0.00163872,0.0003516509,0.00207743,0.001044432,0.001877409,0.001246864],"category_scores_gemma":[0.01490923,0.0005550602,0.0007601663,0.0005753143,0.001222094,0.001841149,0.001248411,0.000768204,0.0005507168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832067,"about_ca_system_score_gemma":0.0005516404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136653,"about_ca_topic_score_gemma":0.001839568,"domain_scores_codex":[0.9966562,0.001799661,0.0003531586,0.0005260943,0.0005131128,0.0001518291],"domain_scores_gemma":[0.9881087,0.006355336,0.001429861,0.001696728,0.002111552,0.0002978732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007096738,0.0007709863,0.6958135,0.0005002529,0.001271703,0.00058698,0.001096364,0.01108941,0.1127528,0.0009157601,0.0007192909,0.1673862],"study_design_scores_gemma":[0.0003946918,0.002303679,0.8148715,0.0002429684,0.001012955,0.001880049,0.0006190273,0.147811,0.02661474,0.001598643,0.002442058,0.000208548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554242,0.0009336135,0.04051059,0.0001690227,0.0001083647,0.0001432328,0.0005883466,0.0002389083,0.001883833],"genre_scores_gemma":[0.971671,0.0003905816,0.02673737,0.0001531915,0.0000805379,0.00009135239,0.0004036171,0.00006333114,0.0004089753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01173517,"threshold_uncertainty_score":0.06206226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898244976392087,"score_gpt":0.2341093900969277,"score_spread":0.2151269403330068,"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."}}