Assessing a Nutrition Educational Tool for Adolescents Undergoing Bariatric Surgery
Bibliographic record
Abstract
Bariatric surgery (BS) is a safe and effective treatment in adolescents (<19 y) who live with severe obesity that impairs daily living.1-3 The primary nutritional concern after BS is to ensure adequate dietary protein intake4-5 to avoid loss of muscle mass.6 As such, incorporating high-protein foods is crucial both to prevent the loss of muscle mass and also to provide a vital source of energy. However, because most BS occurs in adults (>18 y), there are very few nutrition education resources intended specifically for adolescents. This highlights the urgent need to support adolescents with their post-operative nutrition. Nutritional tool: Protein Cards is a newly-developed nutrition tool that includes forty post-MBS protein recipes intended for adolescents who have undergone bariatric surgery (BS). The resource is available in English and French, and has been reviewed and refined after feedback from dietitians at both Centre of Excellence in Adolescent Severe Obesity ((Montreal Children’s Hospital, Montreal QC) and the Healthy Living Clinic (The Hospital for Sick Children, Toronto ON). The purpose of the Protein Cards book is to help patients meet their protein requirements during post-BS diet progression stages (i.e., fluid, purée, soft, and regular diet) and acquire the skills to incorporate protein into their diet. The tool also incorporates a new method of calculating protein intake. Instead of itemizing foods by grams of protein, each 10 grams of protein are depicted using a yogurt icon.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".