Bibliographic record
Abstract
Considering the role of carotenoids in the physiological processes, an urgent issue for the modern pharmaceutical science is providing preventive medicines based on these elements. In this connection it is interesting to study the carotenoid content in the needles of various representatives of alien and native conifers in Primorsky region. Methods. To assess the conifers’ biological potential in terms of the source of carotenoids the authors studied the annual dynamics in magnification of these pigments in the two-year needles of 17 conifers growing in the arboretum at Gornotaezhnaya station of FEB RAS. The number of carotenoids was determined by spectrophotometry. Results. Analysis of the magnification of carotenoids in the two-year needles of native species allows to select the conifers with high content of the researched pigment: Japanese red pine 0.32 mg/g, Korean pine 0.29 mg/g, Labrador pine 0.29 mg/g, Colorado spruce 0.28 mg/g, needle fir, Siberian cedar, Koyama spruce, Ajan spruce 0.27 mg/g of green weight each. Conclusions. The data received expand understanding of the carotenoids synthesis of conifers as well as possibilities of using needles as an additional source of vitamins, food supplements and colorings.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".