Bibliographic record
Abstract
Abstract Since it was first recognized that sediments served as significant repository for contaminants, research in the field of sediment toxicology has largely focused on the development and validation of methods to assess sediment toxicity. Several invertebrate species have played an integral role in the assessment of sediment toxicity in freshwater systems, but arguably none have been used more extensively than the two midge speciesChironomus tentansandC. riparius. The adoption of these two midges for sediment toxicity testing reflects their ecological relevance in aquatic systems, tolerance to a wide range of sediment characteristics, short generation times and amenability to culturing, relative insensitivity to manipulation, and wide acceptance among regulatory agencies. The most commonly applied standard test using bothC. tentansandC. ripariusis the 10‐d survival and growth assay. However, a standardized life cycle test usingC. tentansis also available in which survival, growth, emergence, and reproduction can be evaluated. This article presents detailed methods and practical insights pertaining to the use of the 10‐d and life cycle tests and discusses potential future applications ofChironomusspp. in sediment toxicity testing.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".