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Record W1534699022 · doi:10.18433/j30p4c

Food and Therapeutic Product Interactions – A Therapeutic Perspective

2009· review· en· W1534699022 on OpenAlexaffvenue
Laura MacDonald, Brian C. Foster, Humayoun Akhtar

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2009
Typereview
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of OttawaHealth Canada
Fundersnot available
KeywordsSustenanceFood productsProduct (mathematics)Functional foodObesityHealth benefitsBusinessMedicineEnvironmental healthBiotechnologyTraditional medicineFood scienceBiology

Abstract

fetched live from OpenAlex

Foods and therapeutic products are both used for well defined purposes. In simple terms food provides energy for sustenance, while therapeutic products are taken for managing ailments (1). However, over the years roles of foods have changed considerably. Now, food no longer is seen as simply the provider of energy, but it is expected to provide physiological benefits for good health and productive lifestyles. Well managed combination of foods and therapeutic products plays important role in the prevention and treatment of many diseases, including a number of chronic diseases such as cancer, diabetes, hypertension, obesity. Most often food is combined with medicine to enhance the benefits of medicine - an additive and/or synergistic effect: food-therapeutic product synergism. At the most basic level, food is a complex mixture of chemicals with many functional groups; hence, they not only confer positive effects, but may also make negative contributions. The later effect is of major concerns among the health practitioners and regulatory officials.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.201
GPT teacher head0.500
Teacher spread0.300 · 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 designOther design
Domainnot available
GenreReview

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

Citations25
Published2009
Admission routes2
Has abstractyes

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