Nephrology and geriatrics integrated : proceedings of the Conference on Integrating Geriatrics into Nephrology held in Jasper, Alberta, Canada, July 31-August 5, 1998
Bibliographic record
Abstract
List of Participants. Introduction D.G. Oreopoulos, et al. The Clinical Physiology of Aging W.R. Hazzard. Aging Kidneys in an Aging Population: How Does This Impact Nephrology and Nephrologists? W.R. Hazzard. The Aging Kidney S.V. Jassal, D.G. Oreopoulos. Aging: Its Influence on Drug Disposition and Effect D.R. Abernethy. Drug-Related Renal Dysfunction in the Elderly W.M. Bennett. Fluid and Electrolyte Balance in the Elderly L.H. Beck. Glomerular Disease in the Elderly Population R.J. Glassock. Renal Artery Disease in the Elderly W.L. Henrich. Ischemic Nephropathy: An Important Cause of Renal Disease in the Elderly V.M. Buckalew, Jr. Diabetic Neprhopathy in Patients with Type II Diabetes J. Breyer Lewis. Acute Renal Failure in the Elderly N. Lameire, et al. Hemodialysis in Elderly Patients W.W. Brown. Peritoneal Dialysis in Older Individuals J.F. Winchester. New Insights Into Aging and Renal Osteodystrophy K.A. Hruska. Older Transplant Recipients Older Transplant Donors - What are the Issues? M.J. Bia. Hydronephrosis and Renal Deterioration in the Elderly due to Abnormalities of the Lower Urinary Tract and Ureterovesical Junction P.M. Sutaria, D.R. Staskin. Geriatric Patient With Obstructive Uropaty S. Klahr. Urinary Incontinence in the Elderly L.T. Sirls, T. Rashid. Access of the Elderly to Dialysis D.G. Oreopoulos. Dialysis Withdrawal D.G. Oreopoulos. Managed Care, Geriatrics and Nephrology M.G. White. The Challenges of Geriatric Nephrology: Managed Care/Disease Management T.I. Steinman. Discussion/Recommendations. a. Training and Education L.H. Beck. b. Special Clinical Problems in Geriatric Patients J. Winchester, K. Kjellstrand. c. Research: Basic & Clinical D. Humes, et al. Epilogue R. Luke, W. Hazzard.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.025 |
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".