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Record W4411100144 · doi:10.1515/jnhpr-2023-050103

Abstracts of the 19<sup>th</sup> Annual Conference of the Natural Health Products Research Society of Canada: New Frontiers in NHP Research

2023· article· en· W4411100144 on OpenAlexaffabout
Pierre S. Haddad, David H. St‐Pierre, Alain Cuerrier, Anika Singh, C. R. Kehler, B Hall

Bibliographic record

VenueJournal of Natural Health Product Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of OttawaEspace pour la vieBritish Columbia Institute of TechnologyUniversité du Québec à MontréalUniversité de Montréal
Fundersnot available
KeywordsNatural (archaeology)Library sciencePolitical scienceHistoryComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Abstract With their 19th Annual Conference, the Natural Health Products (NHP) Research Society of Canada celebrates 20 years of excellence in supporting research and evidence-based policy and product development in Canada and around the world. The general theme of the Conference is thus appropriately entitled “New Frontiers in NHP Research: Celebrating 20 Years of Innovation”. Indeed, it is in a forward-looking stance that the Conference showcases state-of-the art innovations in NHP research from the academic, industry and governmental perspectives, as is the tradition of the Society. Scientific sessions cover NHP applications in cancer, cardiometabolic disease, and aging as well as food derived NHPs and industry innovations. Panel discussions are another trademark of the Annual Conference and address inconsistencies in NHP lab testing, the role of Traditional Herbal Medicine in NHP research, and new developments in NHP analysis. Finally, government and industry representatives offer perspectives on national and international regulatory frameworks.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.259
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0110.002
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.1640.053

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 head0.100
GPT teacher head0.419
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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 routes2
Has abstractyes

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