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Investigation on Polymorphic Behavior of Progesterone and Stabilization by Co-Crystallization: A Review

2014· review· en· W2323606571 on OpenAlexaff
Anindita Sarkar, Sohrab Rohani

Bibliographic record

VenueMini-Reviews in Medicinal Chemistry · 2014
Typereview
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsProgestogenCrystallizationEnantiomerChemistryHormoneStereochemistryBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Progesterone, extensively used in human as well as veterinary medicines is a progestogen type of hormone. With the aim for hunting the stable polymorph, this review examines polymorphic behavior of progesterone and stabilization of less stable form by co-crystallization. An overview of two monotropically related forms of progesterone--form-I and form-II, synthetic enantiomer, ent-progesterone and racemic progesterone is provided. Different methods reported in the literature for the formation of polymorphs of progesterone are discussed here. After extensive manual screening it has been found that, though there are few methods mentioned in the literature for the formation of form-II, there is a lack of reproducibility in the recipes. This contribution also briefly reviews three other forms of progesterone (form-III, form-IV and form-V) which appear only in equilibrium melt and cannot be structurally characterized. Finally, comparison of different physical properties of form-I and form-II are also addressed.

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)0.000
metaresearch head score (Gemma)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.082
GPT teacher head0.356
Teacher spread0.274 · 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
GenreReview

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

Citations6
Published2014
Admission routes1
Has abstractyes

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