Bibliographic record
Abstract
Current Opinion in Nephrology and Hypertension was launched in 1992. It is part of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The field of nephrology and hypertension is divided into 12 sections that are each reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Section Editors for this issue. SECTION EDITORS Agnes B. FogoAgnes B. FogoProfessor Agnes Borge Fogo completed her medical training at Vanderbilt University Medical School, USA. She has remained at Vanderbilt for residency in pathology and for further training in renal pathology, with the late Dr Alan Glick, and also working in experimental renal diseases, with Dr Iekuni Ichikawa. Her main research interests are focused on progression of chronic kidney disease and the renin angiotensin aldosterone system and its link to the fibrinolytic/thrombolytic plasmin/plasminogen activator system. In recent years, she has explored the possibility of regression of sclerosis, pursued by funding from NIH and other sources. She is also dedicated to diagnostic renal pathology, and has created an online Atlas of Renal Pathology with the American Journal of Kidney Disease and the National Kidney Foundation. Prof. Fogo enjoys being involved with teaching renal pathology, and received the Robert G. Narins award from the ASN in 2011 for her contributions in teaching. She is currently the John L. Shapiro Professor of Pathology, Microbiology and Immunology, Professor of Medicine and Pediatrics and Director of the Renal/Electron Microscopy Laboratory, at Vanderbilt University Medical Center. Navdeep TangriNavdeep TangriDr Navdeep Tangri is an attending physician and Assistant Professor in the Division of Nephrology, Department of Medicine at Seven Oaks General Hospital, University of Manitoba, Canada. Dr Tangri is also an Assistant Professor in the Department of Community Health Sciences at the University of Manitoba, and Adjunct Assistant Professor at Tufts University, USA. Dr Tangri's research program is clinical and translational and focused on improving clinical decision making for patients with advanced chronic kidney disease. He developed and validated the Kidney Failure Risk Equation to predict the need for dialysis in patients with CKD, and is presently engaged in multiple validation and implementation exercises to increase the uptake of the KFRE. In addition, Dr Tangri is conducting a large prospective study on frailty, physical and cognitive function in advanced CKD, as well as comparative effectiveness studies on the safety and effectiveness of medical therapies in this population. He has published over 60 manuscripts and presented at multiple national and international scientific meetings. Dr Tangri currently reviews manuscripts for several major medical journals, including the Annals of Internal Medicine, the Journal of American Society of Nephrology, and the American Journal of Kidney Disease. He sits of the editorial board of the Canadian Journal of Kidney Health and Disease and is Section Editor of Current Opinion in Nephrology and Hypertension. He has active grants from the Canadian Institute of Health Research, the Kidney Foundation of Canada and the Manitoba Health Research Council. In addition, he is a member of numerous associations, including the American Society of Nephrology, a member of the scientific committee of the Canadian Society of Nephrology, and the International Society of Nephrology. Dr Tangri received his medical degree from the University of Manitoba, Winnipeg, Manitoba Canada. He completed his residency program in internal medicine at McGill University, Montreal, Quebec, Canada, and completed his nephrology training and doctoral degree at Tufts Medical Center, Tufts University, in Boston, Massachusetts, USA. He then moved to the University of Manitoba where he has been a full time faculty member since 2011.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.217 | 0.138 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".