Accumulation and toxicity of metals (copper, zinc, cadmium, and lead) and organic compounds (geraniol and benzo[<i>a</i>]pyrene) in the oribatid mite <i>Oppia nitens</i>
Bibliographic record
Abstract
The oribatid mite Oppia nitens has been suggested as a test species for ecotoxicological assessment of contaminated boreal soils. Knowledge of the ecotoxicity of pollutants of different modes of action to this species is necessary to assess its relative sensitivity in comparison with other invertebrates. The toxicity of four metals and two organic chemicals to O. nitens was evaluated over a 28- or 35-d period. Mite survival, reproduction, and tissue accumulation were assessed at the end of the test. Reproduction was a more sensitive endpoint than survival for all of the compounds except geraniol. The reproduction median inhibitory concentration (IC50) values for Cu, Zn, Cd, and Pb were 2,896, 1,562, 137, and 1,678 mg/kg, respectively, whereas those for benzo[a]pyrene and geraniol were greater than 1,600 and 283 mg/kg. The median lethal concentration (LC50) values for Cu, Zn, Cd, and Pb were 3,311, 2,291, 603, and 6,761 mg/kg, respectively, whereas those for benzo[a]pyrene and geraniol were greater than 1,600 and 251 mg/kg. When effects on reproduction are compared with those of other soil invertebrates, O. nitens appears less sensitive to Cu and Zn but within the same order of magnitude of sensitivity as that for Cd and Pb. Despite its lower sensitivity to Cu and Zn, O. nitens is a member of a group underrepresented in ecotoxicological evaluations and should therefore be included in test battery for risk assessment of contaminated boreal and other northern soils.
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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) | 0.000 | 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".