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Record W2062672480 · doi:10.3148/63.4.2002.198

<i>Dietary Adequacy of the Rotary Diversified Diet:</i>As a Treatment for “Environmental Illness”

2002· article· en· W2062672480 on OpenAlexaffvenue
Jennifer Taylor, Magdalena Krondl, Mark Spidel, A Csima

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2002
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsUniversity of TorontoUniversity of Prince Edward Island
Fundersnot available
KeywordsNiacinNutrientMedicineEnvironmental healthDietary Reference IntakeRiboflavinVitamin B12VitaminVitamin D and neurologyAnimal scienceFood scienceBiologyInternal medicine

Abstract

fetched live from OpenAlex

The rotary diversified diet, used in the management of environmental illness, consists of eliminating prohibited foods from the diet and rotating remaining non-prohibited foods and their "food families" within a regular cycle. We assessed the adequacy of nutrient intakes in 22 women prescribed the diet, described the nature of supplement use, and assessed the relationship between adherence and nutrient intake levels. Except for calcium and folacin intakes, mean nutrient intakes met or exceeded recommended levels. No subjects had calcium intakes above the adequate intake for calcium; 72.7% had folate intakes below the estimated average requirement. Intakes of other nutrients, except thiamin and magnesium, were below the estimated average requirement in less than 25% of the sample; 31.8% and 45.5% of subjects, respectively, had thiamin and magnesium intakes at this level. Those who adhered more closely to the rotary diversified diet had higher intakes of vitamin C, vitamin B6, folate, and fibre than did those who followed the diet less closely. Supplements conferred some nutritional benefits; however, supplemental niacin and magnesium intakes exceeded tolerable upper intake levels. Those prescribed the rotary diversified diet require nutrition counselling from dietitians to cope with the complexity and restrictiveness of the diet.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.127
GPT teacher head0.365
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2002
Admission routes2
Has abstractyes

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