Study of the Influence of Lead Microelement on the Process of Water Accumulation in (Phaseolus vulgaris) Plants
Bibliographic record
Abstract
In this study our goal was to analysis the influence of different concentrations of lead on the process of water accumulation in the roots and stems of bean seedlings. In the experiments, the Borlotti variety are used. The seeds (100) were soaked in the corresponding lead acetate solutions: V1 – distilled water; V2 - 0.001%; V3 – 0.005%; V4 – 0.01% and V5 – 0.1%. and were put in germinators. The roots and stems of 10 seedlings of each experimental variant were used for determining the quantity of humid and dried substance. The control had high quantity of humid substance, which proves that the water contained in the vegetal material was important for the growth of these organs. The most significant decrease was recorded at concentrations above 0.1%, being highly inhibited.
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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".