Development of grapes and wine-making industry of Moldova on the basis of modern achievements of science and innovations
Bibliographic record
Abstract
The wine-growing and wine-making complex of Moldova has come a long way: from metal-intensive technical equipment from unalloyed steels to modern European equipment from stainless, food-grade material. All new vineyard plantings are created from planting of certified material of our own production or acquired in Italy, France \nand Germany. At the present stage, vineyard plantations in Moldova are 80% occupied by classic European varieties. The rest - are local indigenous varieties. All technological processes in primary winemaking are based on modern biotechnology achievements and innovations: enzymes for clarifying wort, yeast for fermentation and bacteria to reduce acidity in red wines. The well-known preservative - sulfur dioxide is replaced with inert gases (nitrogen, carbon dioxide) and the use of low temperatures. Table wines are exported mainly to Romania, the Czech Republic, Germany, Poland, China, the United States and Canada. All the achievements of viticulture and winemaking in Moldova are based on the latest scientific and technological progress, developed and implemented in the Republic of Moldova by scientists from the Academy of Sciences of Moldova, universities, as well as specialists from the National Office of Grapes and Wine.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".