Quantifying food quality:The case of alkyl-methoxypyrazines in wine
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
Wine is the oldest alcoholic beverage, and the most commonly consumed in many countries, including France, Sweden, Italy and Argentina. Its sensory quality is dependent on the relative prevalence of the 200+ odorants known to influence wine flavor. Many of these odor-active compounds exist at trace concentrations, yet still exhibit potent effects due to their low detection thresholds in humans. An important example is 3-alkyl-2-methoxypyrazines (MPs), which are capable of tainting both grape juice and wine, yet possess sensory thresholds well below the sensitivity of established analytical methods. Here we describe the development of a method based on multi dimensional gas chromatography coupled with mass spectrometry and headspace solid phase microextraction (SPME-MDGCMS) that allows for the measurement of MPs in wine down to the low ng/L range.
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 | 0.001 |
| 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) | 0.001 | 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