Влияние стимуляторов на всхожесть семян и рост сеянцев сосны Банкса (Pinus banksiana Lamb. )
Bibliographic record
Abstract
The sowing qualities of the Labrador pine (Pinus banksiana Lamb.) -introduced plant seeds and the analysis of the growth stimulator (regulator) influence on the Labrador pine seedling growth are given in the article. The research has been conducted on the territory of the Mountain-Taiga Station of FED of RAS. Labrador pine seed germination energy is 78 %, the laboratory germination is 86 % in the Far-East South conditions. The soil germination when the seeds are treated by the growth regulators before sowing is: by apin 7883 %, by circon 76-80%, by cresacin 71-73 %. Root fertilization by the seedling stimulators increases growth efficiency of the root system, aboveground part and common biomass.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 0.011 |
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; both teacher heads agree on what is shown here.
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".