Giving oral medicines and supplements to children
Bibliographic record
Abstract
### What you need to know A 6 year old boy undergoing treatment for acute myelogenous leukaemia is discharged from hospital to continue treatment from home. He is unable to swallow tablets or capsules and so must use compounded liquid formulations, some of which have only seven day stability. His family live in a remote area, two hours’ drive to the nearest compounding pharmacy. They bring a cooler every week when they drive to obtain medication refills because the medications must be refrigerated at all times. The medications are unpalatable, and his parents are spending up to three hours three times a day, every day, trying to give him his medication. Giving medications to children who cannot yet swallow tablets or capsules (hereafter referred to collectively as “pills”) is a common problem without a universal solution. Frequently, parents, clinicians, and pharmacists attempt to crush tablets, empty capsules into food, search for alternative dosage forms, or find a different medicine altogether. Unfortunately, finding alternative formulations that children will accept can be challenging. Oral liquid formulations are sometimes a viable solution, but many oral liquid preparations are not commercially available, can be difficult to measure and dose correctly, or may …
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.011 |
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".