Stability of cefazolin in heparinized and nonheparinized peritoneal dialysis solutions
Bibliographic record
Abstract
Journal Article Stability of cefazolin in heparinized and nonheparinized peritoneal dialysis solutions Get access Chia-Chao Wu, M.D., Chia-Chao Wu, M.D. Chief Resident Department of Medicine, Tri-Service General Hospital, National Defense Medical Center (NDMC), Taipei, Taiwan Address correspondence to Dr. Wu at the Division of Nephrology, Department of Medicine, Tri-Service General Hospital, No. 325, Section 2, Chung-Kung Road, Neiho 114, Taipei, Taiwan, or to wucc@ndmctsgh.edu.tw Search for other works by this author on: Oxford Academic Google Scholar Da-Peng Wang, Ph.D., Da-Peng Wang, Ph.D. Professor School of Pharmacy, NDMC Search for other works by this author on: Oxford Academic Google Scholar Chi-Yin Wong, M.D., Chi-Yin Wong, M.D. Associate Professor and Head of Orthopaedics Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan Search for other works by this author on: Oxford Academic Google Scholar Yuh-Feng Lin, M.D. Yuh-Feng Lin, M.D. Associate Professor and Head of Nephrology Department of Medicine, Tri-Service General Hospital, NDMC Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 59, Issue 16, 15 August 2002, Pages 1537–1538, https://doi.org/10.1093/ajhp/59.16.1537 Published: 15 August 2002
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".