Study of the action of heavy metals (Zn, Cd, Pb, Cu) on the growth and development of E. sanadensis in model experiments
Bibliographic record
Abstract
Aquatic plants irrespective of whether they belong to various environmental groups in the process of their life can accumulate items in fairlyhigh concentrations. Research of the aquatic plants is a necessary component of monitoring of water bodies, as components of nature show a different response to technoge noninterference. The ability of accumulation ofchemical elements is important in assessing water quality. The purpose ofresearch was to study the sensitivity and ability of Canadian elodea (Elodeacanadensis) to the accumulation of some heavy metals (Cd2+,Cu2+, Pb2+,Zn2+) in the laboratory. Based on the results of the study, it was found thatcadmium and copper at high concentrations perniciously operates plantsE. сanadensis, compared with zinc and lead, maximum concentrations ofmetals, where there are signs of vitality of plants: lead-10 MPC, copper-5MPC, zinc-10 MPC, for cadmium-5 MPC. On the level of accumulation inplants of E.сanadensis of heavy metals can be positioned in the followingseries: Cu >Zn >Pb>Cd. The possibility of using plants E. сanadensispurification from heavy metals.Key words: higher aquatic vegetation, heavy metals, Elodea canadensis, LPC.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".