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Record W2928347896 · doi:10.33211/jnhpr.4

Off with a Bang! Introducing the Journal of Natural Health Product Research

2019· article· en· W2928347896 on OpenAlexaffabout
Kieran Cooley, Pierre S. Haddad, Jeremy Y. Ng

Bibliographic record

VenueJournal of Natural Health Product Research · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsMcMaster UniversityImpactUniversité de MontréalHamilton Health SciencesCanadian College of Naturopathic Medicine
Fundersnot available
KeywordsGovernment (linguistics)Natural (archaeology)Product (mathematics)Political scienceLibrary scienceMultidisciplinary approachSociologyHistoryComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This editorial serves to introduce the Journal of Natural Health Product Research (JNHPR), published by NHP Publications based out of Toronto, Canada; the JNHPR is the world’s first journal focusing exclusively on the publication of high-quality, peer-reviewed, open access and multidisciplinary research on natural health products (NHPs). Furthermore, NHP Publications is supported in part by the Federal Government of Canada’s Department of Canadian Heritage, which fittingly aligns with the fact that Canada is a world leader in NHP research.

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)0.024
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.045
GPT teacher head0.427
Teacher spread0.382 · 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 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

Citations3
Published2019
Admission routes2
Has abstractyes

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