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
Abstract The biochemical reactions leading to ester synthesis in living organisms are very difficult to use in vitro . However, esters can be obtained through other enzyme‐catalyzed reactions. In condensation reactions, or reverse hydrolysis, alcohol and acid molecules react to form the ester. In transesterification, existing esters are modified to produce new esters. The enzymes used for these reactions are various hydrolases: esterases, lipases, and proteases, lipases being the most useful. To minimize the hydrolysis of the produced esters, these reactions are often performed in low water environments, such as organic solvents, using solid or immobilized enzymes. These conditions have an impact on the catalytic activity of enzymes. Enzyme‐catalyzed esterification is very selective and performed in mild conditions, compared to chemical esterification. It can be applied to the modification of oils and fats, the production of chemicals such as nonionic surfactants, flavors, and fragrances, the production of chiral molecules, and the modification of natural compounds.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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