{"id":"W2025131562","doi":"10.1007/s00330-014-3250-6","title":"T1-mapping for assessment of ischemia-induced acute kidney injury and prediction of chronic kidney disease in mice","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Medizinischen Hochschule Hannover","keywords":"Medicine; Acute kidney injury; Kidney disease; Kidney; Ischemia; Renal ischemia; Urology; Medulla; Nephrology; Internal medicine; Neuroradiology; Edema; Pathology; Cardiology; Reperfusion injury; Neurology","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":[0.0005975727,0.0001270929,0.0003859698,0.0001596573,0.00002057042,0.000002447022,0.00009790477,0.00005295769,0.00003878338],"category_scores_gemma":[0.0004396954,0.000121605,0.00006228653,0.0001160766,0.0001016008,0.0000431341,0.00005864051,0.0001538308,0.000001960461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314229,"about_ca_system_score_gemma":0.0002989404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387457,"about_ca_topic_score_gemma":6.060634e-7,"domain_scores_codex":[0.998762,0.0002380129,0.0004063203,0.0003048652,0.00008720252,0.0002016154],"domain_scores_gemma":[0.9990702,0.0001292601,0.0001919631,0.0002711411,0.00006247491,0.0002749455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003776594,0.0002075441,0.2212097,0.001256828,0.0002304155,0.00001593009,0.000252834,0.00001224198,0.7102562,0.0003266867,0.06196311,0.003890865],"study_design_scores_gemma":[0.009382143,0.003531887,0.8404008,0.001395604,0.0005559024,0.00004483305,0.00002587803,0.01078039,0.03637084,0.00008141806,0.09714752,0.0002828041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898754,0.0001505183,0.002210627,0.002699103,0.0004133786,0.0006865882,0.0003020912,0.00003465062,0.003627696],"genre_scores_gemma":[0.9966866,0.0003939763,0.00142328,0.0008500774,0.0003679805,0.00004197201,0.000142504,0.00003174046,0.00006186886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6738853,"threshold_uncertainty_score":0.4958909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332963130224243,"score_gpt":0.3032593119439682,"score_spread":0.2799296806417258,"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."}}