Selection of an Effective Stabilizer for the New Liquid-Phase Biological Product
Bibliographic record
Abstract
This paper considers the selection of stabilizing/preserving agents for a long-time storage of the liquid-phase biological product (LBP) used in crop production. LBP belongs to microbiological products, so the authors have been challenged to preserve its activity by reaching three objectives: to keep the number of useful microflora close to the original one, prevent the growth of sanitary indicator microorganisms (enterobacteria) and avoid a bad smell caused by active microflora.The work has been performed in three experiment series. Experiment Series 1 and 2, which are different by time (six months and a year), have been devoted to the studying of stabilizing properties of some preservatives such as sodium benzoate, sodium thiosulfate, aminobenzoic acid and sodium chloride. Experiment Series 3 has tested LBP (of different storage durations) in spring wheat germination. It has been found that the best LBP quality is guaranteed by 5% (mass to mass) sodium chloride at low storage temperatures. The storage duration for LBP containing the stabilizer should not exceed six months.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".