Validation of Ontario's new laboratory-based bioaccumulation methods with in situ field data
Bibliographic record
Abstract
To validate the standardization of a laboratory protocol for measuring bioaccumulation, laboratory-derived tissue residues and biota-sediment accumulation factors (BSAFs) were compared with historical field data from nine sites in Ontario, Canada. As a result of temporal discontinuity between the field and the laboratory studies, a priori considerations, such as changes in site conditions or concentrations of contaminants in sediment, were necessary to assess whether to compare absolute or relative measures of bioaccumulation. For the majority of sites, BSAFs for field-collected and laboratory-exposed fish were within a factor of 2. Biota-sediment accumulation factors for laboratory-exposed oligochaetes were typically greater than those for mussels caged in the field, by a factor of 2 to 9. Overall, the laboratory methods for all species generally overestimated the relative bioavailability of contaminants compared with field conditions by a factor of 1.1 to 9.2. Other than the great disparity observed for polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) between field and laboratory studies, on average the laboratory-derived BSAFs with Pimephales promelas and Lumbriculus variegatus overestimated those from field-collected fish and field-exposed mussels by factors of 1.6 and 3.6, respectively. The laboratory method reflects a potentially worst-case exposure scenario and provides an appropriately conservative estimate of bioaccumulation. Laboratory-based estimates can be comparable to bioaccumulation data from the field but may be confounded by species-specific differences in routes of exposure and bioaccumulation of certain compounds or other environmental and biological factors that should be considered in these comparisons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".