Author Index
Bibliographic record
Abstract
In order to evaluate the bacterial and endotoxin contamination in the dialysis fluids of our pediatric center and the effectiveness of chlorine dioxide (CD) compared with a conventional method, (1) deionized water, (2) dialysate fluid, (3) basic concentrate, and (4) acid concentrate were tested in 4 dialysis machines. Monitor sterilization was made using CD in protocol A and sodium hypochlorite/acetic acid in protocol B. Once every 2 weeks the deionized water set of distribution was routinely disinfected with peracetic acid. Each protocol lasted 1 month and the samples were taken, under aseptic conditions, on the 15th, 22nd and 27th day. All samples, at all stages of the study, showed an endotoxin concentration below the limits recommended by the Canadian Standard Association. Fifty-nine out of 72 samples in A and 62 out of 72 samples in B showed a bacterial count within the range recommended by the Association for the Advancement of Medical Instrumentation. The data show that both protocols produced the same results. However, protocol A is to be preferred for its simultaneous disinfecting-cleaning and descaling activity which proves time-saving.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.605 | 0.569 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".