Environmental aspects of cranberry cultivation in the south of the Khabarovsk Territory
Bibliographic record
Abstract
Abstract The article represents the results of the introduction of American varieties of Vaccinium macrocarpon in the Khabarovsk Territory. Cranberry is of great value in human nutrition due to its high nutritional significance and unique medicinal value. The experience of plantation cultivation of cranberry in the United States, Canada, Germany, Sweden, Poland, and Belarus proves the high efficiency of its cultivation: yields on plantations are tens or even hundreds of times higher than in natural brushwoods. Early, medium and medium-late varieties with high consumer properties are the most suitable for cultivation in the South of the Khabarovsk Territory. The advantages of cranberry cultivation in the region are the wide distribution of peat-like and peaty soils, suitable natural and climatic conditions, experimental confirmation of the possibility to obtain high yields of berries, and a high economic effect. Cranberry cultivation can also help reduce the anthropogenic load on the natural berry fields of the region. The paper provides data on the survivability, length of shoots growth, and yield of these varieties.
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 | 0.000 |
| 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 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".