Water activity as related to microorganisms in the manufacturing environment
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.
Bibliographic record
Abstract
Manufacturing of solid oral dosage formulations is by definition non-sterile. This is in contrast to parenterals which are by definition sterile upon completion of manufacturing. Water is the solvent in which proteins, polysaccharide and lipids are dissolved, but in the confines of solid oral manufacturing may be considered little more than a contaminant. Water may be taken into excipients, which comprise an individual part of the pill or capsule, but which are inert in terms of physiological function. The best, or most noticeable example of an excipient is the gelatin capsule. Gelatin is highly hydroscopic, and attracts water absorbed from the ambient environment. Capsules and pills are normally manufactured in the absence of any water thus limiting the presence of the molecule. The availability of water is the most important single factor affecting the growth of all prokaryotic and eukaryotic cells. The availability of water for a cell depends upon its presence in the atmosphere (relative humidity) or its presence in solution, or a substance. Water activity is affected by the presence of solutes such as salts and/or sugars that may be dissolved in a given solution. The lower the solute concentration of a substance, the higher the water activity.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 it