<i>Hepatitis C: Nutrition Care</i> Canadian Guidelines for Health Care Providers
Bibliographic record
Abstract
Nutrition plays a critical role in the management of hepatitis C. Dietitians of Canada has developed comprehensive, evidence-based guidelines to familiarize health care providers with effective nutrition care for the growing number of Canadians infected with the hepatitis C virus. The complete guidelines and two supporting educational fact sheets are available for downloading from http://www.dietitians.ca/resources/HepatitisC_Guidelines.htm. The guidelines and fact sheets are available in both English and French. The guidelines contain the full text, practice essentials, references, and extensive appendices with practical tools to assist educators in promoting nutrition to persons infected with the hepatitis C virus. Reprinting or photocopying of the document is encouraged provided the source is acknowledged. In addition, an on-line education course is available for health care providers and is available on www.dieteticsatwork.ca. These guidelines are directed to all health care providers who are in a position to offer nutrition-related advice and guidance to persons infected with the hepatitis C virus, in all stages of the disease. A national advisory committee comprised of leading authorities in Canada steered the development of the guidelines. The guidelines are based on the best information available at the time of publication; where scientific evidence was not available, best-accepted practice is presented.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 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".