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Record W4205688065 · doi:10.3148/64.3.2003.139

<i>Hepatitis C: Nutrition Care</i> Canadian Guidelines for Health Care Providers

2003· article· en· W4205688065 on OpenAlexvenueaboutno aff

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2003
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHealth careBest practiceFamily medicineMEDLINENursingPolitical science

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.218
GPT teacher head0.537
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2003
Admission routes2
Has abstractyes

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