CONTAMINANT ACCUMULATION IN FORAGE FISH
Bibliographic record
Abstract
The objective of this component of the CISNET San Pablo Bay project was to contribute to the understanding of the ecological impacts of chemical stressors on wildlife species in San Pablo Bay. Ecologically important forage fish species were studied as an indicator of risks to predators in marsh, river, and Bay habitats. Chemical analysis of whole body fish was performed to obtain integrative measures of the degree of food web contamination in San Pablo Bay and to investigate the possible effects of this contamination on wildlife species. Mercury, selenium, PCBs, and DDT were detected in all of the habitats in which the two species were sampled. Concentrations of other contaminants were either well below known thresholds or not detectable. Average DDT (DDE + DDD) concentrations in striped bass (24 ppb wet) and sculpin (16 ppb wet) both exceeded a guideline of 14 ppb wet established by Environment Canada for protection of wildlife consumers of aquatic biota. Average mercury concentrations in striped bass (72 ppb wet) and sculpin (70 ppb wet) also both exceeded the 33 ppb wet guideline for methylmercury also established by Environment Canada for protection of fish predators. Selenium concentrations were all below the 3 ug/g dry threshold for effects on fish
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".