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REGULATORY REQUIREMENTS FOR APPROVAL PROCESS OF PROBIOTICS IN CANADA

2023· article· en· W4319776652 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Journal of Biology Pharmacy and Allied Sciences · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProcess (computing)Drug approvalProcess managementMedicineComputer sciencePharmacology

Abstract

fetched live from OpenAlex

Probiotics are microorganisms that, when consumed, generally provide a benefit to humans health.Probiotics are gaining popularity as a treatment for millions of individuals around the world taken on a regular basis for alleged health benefits.Lactobacilli, bifidobacteria, and lactococciare the examples of probiotics have long been assumed to be safe where as the most important determinant for probiotics selection is human health safety.The rate of discovery of novel organisms with potential therapeutic benefits for both human and environmental health is at an all-time high because many different types of microbes are used as probiotics, safety is inextricably linked to the nature of the specific microbe being used.Natural health products, such as vitamins, minerals, and herbs, along with probiotics are increasingly popular among Canadians.Recent research has looked into the potential of probiotics to treat or prevent disease, maintain health, and reduce the possibility of future disease, despite the fact that they are currently sold mostly as ingredients in foods or nutritional supplements.This article focuses on Regulatory Requirements for the Approval Process of Probiotics in Canada.

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)0.007
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 head0.434
GPT teacher head0.508
Teacher spread0.074 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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