Characterisation of single-variety still ciders produced with dessert apples in the Italian Alps
Bibliographic record
Abstract
Apple cider is a traditional beverage in the Italian Alps, but little is reported about is composition. Accordingly, ciders produced with Golden Lasa, Braeburn, Granny Smith, Fuji, Reinette Champagne and Reinette Canada dessert apples were obtained on a semi-industrial scale using various fermentation options and Saccharomyces cerevisiae strains. A spectrum of compounds was analysed to better characterise the product: phosphate, chloride, nitrate, sulphate, total phenols, 52 mineral elements and 16 volatile compounds. Tristimulus chromatic parameters were measured before and after accelerated ageing and correlated with total phenol concentration. The elemental composition was compared with that of French ciders, revealing significant differences. Yeast related differences were found for several aroma compounds and 4-ethylcatechol. Apple variety and processing contributed to the differences in methanol content. This work provides the first compositional data of Italian Alps ciders. © 2018 The Institute of Brewing & Distilling
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".