Risk Assessment of Organohalogenated Compounds in Water Bird Eggs from South China
Bibliographic record
Abstract
Organohalogen compounds, the pesticides aldrin, dieldrin, endrin, hexachlorobenzene, mirex, Sigmachlordanes, SigmaDDTs, Sigmaheptachlors, Sigmatoxaphenes, and the industrial chemicals SigmaPCBs and SigmaPBDEs, as well as total dioxin-like equivalents (TEQH4IIE-luc), were measured in eggs of two Ardeid species, the little egret (Egretta garzetta) and black-crowned night heron (Nycticorax nycticorax) from three port cities along the South China coast: Hong Kong, Xiamen, and Quanzhou. SigmaDDTs was the predominant and most abundant residue, occurring at concentrations ranging from 2.7 x 10(3) to 8.7 x 10(4) ng/g lipid wt. The greatest concentrations of the studied compounds were observed in eggs collected from Hong Kong, with the exception of SigmaDDTs, which occurred atthe greatest concentrations in eggs from Quanzhou Bay and Xiamen Harbor. Concentrations of SigmaPBDEs were greater in eggs from Quanzhou Bay and Xiamen Harbor, possibly because of rapid industrialization in these areas. Total concentrations of dioxin-like PCBtoxic equivalents (TEQs), measured as the aryl hydrocarbon receptor (AhR)-mediated responses of the H4IIE-luc bioassay (TEQH4IIE-luc), were greatest in Hong Kong samples. A risk assessment of the relatively great concentrations of SigmaDDEs and dioxin-like (coplanar) PCBs in the eggs (threshold levels: 2.8 microg/g wet wt. and 5 pg/g wet wt., respectively) predicted that concentrations of these compounds would be expected to affect some proportion of the Ardeid populations studied.
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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 | 0.000 | 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".