{"id":"W4408119788","doi":"10.1038/s41591-024-03417-5","title":"A first-in-human study of quantitative ultrasound to assess transplant kidney fibrosis","year":2025,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; St. Michael's Hospital","funders":"Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; Canadian Society of Transplantation; Kidney Foundation of Canada; Canada Research Chairs; Government of Canada; Canadian Society of Nephrology; Natural Sciences and Engineering Research Council of Canada; St. Michael's Hospital Foundation","keywords":"Medicine; Fibrosis; Kidney transplant; Kidney; Kidney transplantation; Ultrasound; Pathology; Internal medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004763321,0.0001880275,0.0007005229,0.00047495,0.00005464565,0.000004009923,0.0001594768,0.0001922967,0.00006186797],"category_scores_gemma":[0.001337596,0.0001208353,0.00007602057,0.0008817967,0.0000933758,0.00003231383,0.00002453354,0.0005857658,0.000002649223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946873,"about_ca_system_score_gemma":0.00006396909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002956985,"about_ca_topic_score_gemma":0.0004241409,"domain_scores_codex":[0.9985455,0.00008628432,0.0004119595,0.0003359118,0.0004111271,0.0002092179],"domain_scores_gemma":[0.9989496,0.0003560492,0.00006213107,0.0003493856,0.0001490516,0.0001337506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002463966,0.003474456,0.5764025,0.002445565,0.0008702087,0.0008753007,0.0290634,0.00008475698,0.3588147,0.005827696,0.01885306,0.0008244329],"study_design_scores_gemma":[0.009097899,0.006250386,0.9513428,0.004805005,0.0005485859,0.00004353048,0.007730822,0.00001978853,0.01559583,0.000354809,0.00401719,0.000193308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897624,0.001256684,0.0003397111,0.00424849,0.0002661893,0.0009728362,0.00001455459,0.00003992533,0.00309919],"genre_scores_gemma":[0.9973221,0.00007694615,0.0005719402,0.001301149,0.00006406708,0.00004520107,0.00003279719,0.00001090383,0.0005749148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3749404,"threshold_uncertainty_score":0.492752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113981936715709,"score_gpt":0.3680304469188223,"score_spread":0.3368906275516652,"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."}}