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Record W3010809794 · doi:10.15406/japlr.2019.08.00340

A gas chromatographic analysis method development and validation for determination of common plasticizers in delayed release tablet dosage forms

2019· article· en· W3010809794 on OpenAlex
Prasad Panzade, Jessie Wang, Yon Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Analytical & Pharmaceutical Research · 2019
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsApotex (Canada)
Fundersnot available
KeywordsPlasticizerChromatographyDosage formChemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

A simple and efficient Gas Chromatography (GC) analysis method was developed to identify and quantify plasticizers commonly used with polymers present in delayed release tablets. The plasticizers investigated included Dibutyl Sebacate (DBS), Tributyl Phosphate (TBP) and Tributyl Acetyl Citrate (TBAC). The Gas Chromatography (GC) analysis method employs a common DB-1 GC column (30mx320m; 3.0m film). The method was shown to be specific and linear (r 2 =0.998-1.000). Both accuracy and precision were established across the analytical range (0.8-2.0mg/mL). Method applicability was demonstrated by analyzing currently marketed DR tablets from different manufacturers.

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.

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)0.011
metaresearch head score (Gemma)0.004
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.126
GPT teacher head0.510
Teacher spread0.385 · 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