Analysis of alternative methods and price politic of icewine production
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
The artificial methods of must concentration were discussed in current study: the microwave vacuum dehydration, reverse osmosis and cryoextraction. The main factor of using of alternative ways is deficiently low temperatures in winter period that are necessary for freezing grapes on vine according to the classical technology. The benefits and disadvantages of using of non-classic processes to obtain sweet musts were shown. The physical, chemical and sensory characteristics of wine made from grapes previously frozen by alternative and natural ways were analyzed. Indicators influencing on price of icewines and dessert wines bottle including agricultural climatic, technological and marketing factors were determined. Detailed indicators highlight specificity of used technology and represent consumer preferences. Producers of winemaking regions of Argentina, New Zealand, Israel, Ukraine and Australia adhere to provisions that are inconsistent with the standards of Canada and the European countries regarding the icewine output. These instruments determine the processing of grapes and parameters reflect on parameters of the finished product.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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