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Record W2883841134 · doi:10.1055/s-0038-1644969

The Regulatory Framework for Natural Health Products in Canada

2018· article· en· W2883841134 on OpenAlexaffabout
Lysanne Melanson

Bibliographic record

VenuePlanta Medica International Open · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural safety and regulations
Canadian institutionsHealth Canada
Fundersnot available
KeywordsProduct (mathematics)Medical prescriptionBusinessScope (computer science)Quality (philosophy)CosmeticsMedicineRisk analysis (engineering)Environmental healthComputer sciencePharmacology

Abstract

fetched live from OpenAlex

The Natural Health Products Regulations have been in force since January 1, 2004, and were put in place to help assure that Canadians have access to natural health products (NHPs) that are safe, effective and of high quality, while respecting freedom of choice and philosophical and cultural diversity. The Natural and Non-prescription Health Products Directorate (NNHPD) serves the regulatory function of providing oversight of non-prescription and disinfectant drugs in addition to NHPs. NHPs are defined in the Natural Health Products Regulations, as vitamins and minerals, herbal remedies, homeopathic medicines, traditional medicines, probiotics, and other products like amino acids and essential fatty acids. In order for NHPs to be licensed for sale in Canada, evidence supporting the safety, efficacy and quality of a natural health product is assessed by Health Canada. This presentation will provide an overview of the definition and scope of the Natural Health Products Regulations, with a focus on product classification. NNHPD participates in the classification of several products at the interface between NHPs and foods, medical devices, cosmetics and prescription drugs. Examples will be provided to illustrate the steps used to appropriately regulate different product types. Product classification at the food/NHP interface is based on several factors including product composition, representation, format, as well as public perception. Classification decisions are used to administer, monitor compliance with, and enforce the Food and Drugs Act and its regulations.

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)0.000
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 score0.550
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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