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Record W4394700253 · doi:10.53555/sfs.v10i1.2518

A Novel Technique For The Simultaneous Analysis Of Drosperinone And Estetrol In Bulk And Tablet Dosage Form By Rp- Uplc

2023· article· en· W4394700253 on OpenAlex
Y. Haritha Sri, LAGU SURENDRA BABU, M Raghu Prasady, M. Sri Vinay Reddy, D. Ganesh, Y. Rajendra Prasad

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsnot available
Fundersnot available
KeywordsChromatographyDosage formHigh-performance liquid chromatographyChemistryMathematicsPharmacologyMedicine

Abstract

fetched live from OpenAlex

A convenient, precise, consistent, and robust quantitative approach was established for separation and simultaneous quantification of drosperinone and estetrol in bulk and tablet dosage form. The chromatographic separation was carried out by using CSH C18( 50x 2.1mm, 1.7) column at a temperature of 30°C and by using isocratic separation mode with a flow rate of 0.3ml/min. The system was operated by using mobile phase 0.01N kh2po4 buffer and acetonitrile(60:40v/v) with a TUV detector at a detection wavelength of 240nm. Drosperinone and Estetrol retention time was found to be 1.87min and 1.46min respectively. The recommended method was validated for linearity, accuracy, precision, robustness as per the ICH guidelines and the method found to be acceptable. The stress degradation studies were developed and found to be satisfactory. Results shows that the proposed method was precise, simple, robust and suitable for routine analysis

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.173
GPT teacher head0.375
Teacher spread0.202 · 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