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Record W2800845032 · doi:10.5740/jaoacint.18-0026

Determination of Alkaloids in Mitragyna speciosa (Kratom) Raw Materials and Dietary Supplements by HPLC-UV: Single-Laboratory Validation, First Action 2017.14

2018· article· en· W2800845032 on OpenAlexaff
Elizabeth Mudge, Paula N. Brown

Bibliographic record

VenueJournal of AOAC International · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsChemistryChromatographyTraditional medicineHigh-performance liquid chromatographyRaw materialMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

The AOAC Expert Review Panel (ERP) approved a method for the quantitation of alkaloids in Mitragyna speciosa for consideration as First Action Official MethodSM status. The previously published method summarized a single-laboratory validation of two alkaloids, mitragynine and 7-hydroxymitragynine, in raw materials and finished products. The methods performance was compared with the AOAC Standard Method Performance Requirement 2015.008. With repeatability precision (RSDr) ranging from 0.51 to 0.95% and recoveries from 93.6 to 98.9% in the different product matrices, the ERP adopted the method and provided recommendations for achieving Final Action status.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.102
GPT teacher head0.421
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 teacher head, not a consensus.

Study designBench or experimental
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

Citations5
Published2018
Admission routes1
Has abstractyes

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