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Record W2770082240 · doi:10.21065/1920-4159.1000251

Co-Amorphization of Acyclovir with Oxalic Acid as an Excipient

2017· article· en· W2770082240 on OpenAlexfundno aff
Sohrab Rohani, Anindita Sarkar

Bibliographic record

VenueJournal of Applied Pharmacy · 2017
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsExcipientOxalic acidOmicsChemistryPharmacologyMedicineBioinformaticsBiochemistryBiology

Abstract

fetched live from OpenAlex

The present article provides a novel technique for the co-amorphous formation of acyclovir and oxalic acid as an excipient. Designated as ACV-oxalic acid, methods for the preparation thereof and its use in pharmaceutical applications are described. The co-amorphous ACV-oxalic acid was characterized by powder X-ray diffraction, differential scanning calorimetry and thermogravimetric analysis. Stability with respect to relative humidity (RH) for the co-amorphous ACV-oxalic acid was evaluated and compared with the parent ACV. The aqueous solubility of the co-amorphous ACV-oxalic acid was significantly improved (about 8 times more soluble) at 35°C compared to that of the parent Acyclovir base.

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 categoriesnone
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 score0.099
Threshold uncertainty score0.899

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.402
Teacher spread0.351 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2017
Admission routes1
Has abstractyes

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