A comparison of Energy Provision by Diet Order in a Long-Term Care Facility
Bibliographic record
Abstract
RÉSUMÉ La perte de poids involontaire est courante chez les personnes âgées en Amérique du Nord et touche jusqu’à 60 pour cent des résidents des centres d’accueil, ce qui représente une menace pour la santé et l'équilibre fonctionnel. Une enquête portant sur la fourniture d’éléments nutritifs dans un centre de soins de longue durée (SLD) a indiqué que l'exposition moyenne à l'énergie totale au cours d’un cycle de menus couvrant cinq semaines présentait une différence importante entre le régime régulier et le régime d’aliments en purées, et que le niveau moyen d’exposition aux trois macronutriments était inférieur dans un régime d’aliments en purée. Ce qui prouve que les menus actuels des SLD fournissent moins d’aliments nutritifs à ceux qui reçoivent des d’aliments en purée et qu’il faudrait une enquête plus poussée dans ce domaine.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".