{"id":"W2618671163","doi":"10.1093/ndt/gfx146.sp319","title":"SP319DEFINING CARDIAC FUNCTION EARLY AFTER RENAL TRANSPLANTATION: CHALLENGES UNRAVELLED BY CARDIAC MAGNETIC RESONANCE IMAGING","year":2017,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Cardiac magnetic resonance; Transplantation; Cardiac function curve; Cardiac magnetic resonance imaging; Cardiology; Cardiac imaging; Internal medicine; Radiology; Heart failure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269421,0.0003212141,0.0006282252,0.00043146,0.0002429332,0.0009519382,0.0003963479,0.0005438088,0.001448361],"category_scores_gemma":[0.001213413,0.0001310346,0.00014939,0.0004023406,0.0004414973,0.0006662831,0.0003544701,0.0006445376,0.0003459055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754054,"about_ca_system_score_gemma":0.0002805098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005490593,"about_ca_topic_score_gemma":0.0009938518,"domain_scores_codex":[0.9996177,0.0001370962,0.00004227169,0.00004731496,0.00009251053,0.0000631428],"domain_scores_gemma":[0.9988741,0.0003255022,0.0004069248,0.00004412463,0.00009809375,0.0002512359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001431649,0.0001730766,0.9432213,0.0001221639,0.00005236165,0.00187459,0.0002439877,0.0001939825,0.01597722,0.0001132841,0.0004725528,0.03612384],"study_design_scores_gemma":[0.00002065876,0.0006156105,0.9934769,0.00006135149,0.00002868984,0.002656959,0.0003280414,0.0005551329,0.001223079,0.0002623521,0.0007582675,0.00001292289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994683,0.003270562,0.0005721457,0.0004244583,0.00002177932,0.00001184366,0.00009496798,0.00001285686,0.0009084189],"genre_scores_gemma":[0.9973334,0.001458031,0.0006167814,0.0000960075,0.0001085051,0.0000107716,0.0001552581,0.000005024334,0.0002161531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001448361,"threshold_uncertainty_score":0.00671339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167305932311137,"score_gpt":0.259354859179856,"score_spread":0.2476817998567447,"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."}}