Bioindication role of higher plants in the diagnostics of aquatic ecosystems: Case study of small water bodies in St. Petersburg
Bibliographic record
Abstract
The bioindication role of macropytes in the assessment of the environmental conditions of small water bodies under the conditions of a megalopolis is discussed. A comparative characteristic is given to the significance of macrophytes from different ecological groups, including hygrophytes (cattail, reed), hydrophyte (pondweed), and hydatophytes (Canada water weed, hornweed), growing in small water bodies in St. Petersburg, for the biogeochemical indication of environmental pollution by microelements (Fe, Mn, Zn, Cu, Cr, Ni, Pb, and Cd) and biogenic elements (K, Ca, Na, P, S). Possible mechanisms of detoxication of heavy metal ions in macrophyte organisms and their role in the stable functioning of water bodies in urban territory under the conditions of anthropogenic pollution are discussed. The prospects of the use of macrophyte groups for the bioindication of pollution and phytoremediation of aquatic ecosystems are analyzed.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".