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Record W2745853122 · doi:10.5740/jaoacint.smpr2017_013

AOAC SMPR® 2017.013:Standard Method Performance Requirements (SMPRs) for Determination of Vitamins K1 and K2 in Dietary Supplements and Dietary Ingredients

2017· article· en· W2745853122 on OpenAlexaff
Inger Reidun, Gisele Atkinson, Sneh Bhandari, Neal E. Craft, Adam Horkey, Adam J. Kuszak, J. Andreas Lippert, Elizabeth Mudge, Kate Rimmer, Aniko M Sólyom, William Sommer, John Szpylka, Jason Lynn Wubben, Jinchuan Yang, Hong You

Bibliographic record

VenueJournal of AOAC International · 2017
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsDietary supplementFood scienceBiotechnologyTraditional medicineMedicineChemistryBiology

Abstract

fetched live from OpenAlex

Inger Reidun, Gisele Atkinson, Sneh Bhandari, Neal Craft, Adam Horkey, Adam Kuszak, J Andreas Lippert, Elizabeth Mudge, Kate Rimmer, Aniko Solyom, William

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)0.068
metaresearch head score (Gemma)0.091
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.068
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.091
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0100.005
Science and technology studies0.0050.003
Scholarly communication0.0040.003
Open science0.0090.005
Research integrity0.0120.003
Insufficient payload (model declined to judge)0.0090.020

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 head0.076
GPT teacher head0.434
Teacher spread0.357 · 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
GenreMethods

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

Citations1
Published2017
Admission routes1
Has abstractyes

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