Reductions in Gastrointestinal Intolerance, Healthcare Resource Utilization and Cost Associated with a Plant-Based Peptide Enteral Formula with Fruit and Vegetable Ingredients: Retrospective Analysis of Children and Adults in Post-Acute Care [Corrigendum]
Bibliographic record
Abstract
Minor G, Cekola P, Desai A, et al. Nutrition and Dietary Supplements. 2025;17:63—72. The authors have advised that there was an error in the video abstract on page 63. In the video, the background text displayed at 2 minutes 34 seconds through 2 minutes 42 seconds incorrectly reads “significantly reduced from $676,456 at pre-index to $427,576 at 6 months post-index (p<0.001)” for both Pediatric and Adult cohorts. The correct text should read as follows. Pediatric Cohort: The total adjusted costs were significantly reduced from $459,069 at pre-index to $234,470 at 3 months post-index (p<0.05) Adult Cohort: The total adjusted costs were significantly reduced from $649,641 at pre-index to $387,393 at 6 months post-index (p<0.001) The authors wish to apologize for the error and advise the audio in the video from first author Gerard Minor is accurate.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".