Bibliographic record
Abstract
The article presents the results of the study on more than 200 varieties of soybean of different ecological and geographical origin. The samples were taken from the collections of All-Union Research Institute of Plant Breeding. The study was conducted in the Ryazan region in 2015-2017. As a result of the study, there were developed varieties with increased productivity and optimal duration of vegetation period. The varieties had an increased number of beans and seeds, high protein content in seeds and high oil content. The correlation analysis revealed that the duration of vegetation period was mostly determined by the value of blossom - full ripeness”, r = 0.811, and to a lesser extent the duration depended on germinated - full blossom”, r = 4.482. The best samples were Kastka (Ryazan region), Chera 1 (Chuvashia), Merlin (Austria), Elena (Ukraine), Semu 315 (Germany), Gaillard (Canada). These samples will be included in the selection process as initial materials, in order to develop high-yield soybean varieties adapted to the Central region of Russia.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".