Solvent-Mediated Nonoriented Self-Aggregation Transformation: A Case Study of Gabapentin
Bibliographic record
Abstract
A good powder performance is one of the essential targets for gabapentin (GBP). However, the low bulk density and flowability of GBP are still the industrial problems in practical production. The main purpose of this paper is to investigate the phase transformation of GBP from form I to form II in methanol, ethanol, propanol, acetone, acetonitrile, and ethyl acetate and improve the powder properties. The results suggested that there are two kinds of phase transformation mechanisms of GBP. One is the classic solvent-mediated transformation in alcohols, and the other is the solvent-mediated nonoriented self-aggregation transformation in other solvents, which is proposed for the first time. On account of the low water activity and solubility, there is a self-cleaving phenomenon caused by the dehydration in the form I particles, and then the unstable phase transforms into form II, but the growth of the stable form is confined by the size and shape of the initial metastable particle and the products are aggregates. These aggregates with a well-defined shape and size have good performance in the dissolution rate with improved bioavailability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".