Comparative Body Compartment Composition and <i>In Ovo</i> Transfer of Organophosphate Flame Retardants in North American Great Lakes Herring Gulls
Bibliographic record
Abstract
Although recent usage of organophosphate (OP) flame retardants has increased substantially, very few studies have reported on OPs in biota including wildlife, and essentially there is no information on OP body compartment composition and in ovo or in utero transfer for any given wildlife species. Concentrations and patterns of 16 OP triesters were presently screened for and/or determined in six body compartments from female herring gulls (Larus argentatus; n=8) and the separate egg yolk and albumen of their entire clutches of eggs (n=16) (collected in 2010 from a Lake Huron colony site, Laurentian Great Lakes of North America). Fat (32.3±9.8 ng/g wet weight; ww) contained the highest ΣOP concentration, followed by egg yolk (14.8±2.4 ng/g ww)≈egg albumen (14.8±5.9 ng/g ww)>muscle (10.9±5.1 ng/g ww)≫red blood cells (1.00±0.62 ng/g ww), whereas in liver, blood plasma, and brain all OPs were not detectable. Nine OPs accumulated in herring gulls, but the concentrations and proportions of OPs were dependent on the body and egg compartment. For example, tris(2-butoxyethyl) phosphate (TBOEP) accounted for 66% of the ΣOP concentration in albumen, but only for 13% in yolk. Tri-n-butyl phosphate (TNBP) accounted for 25% of the ΣOP concentration in yolk, but was not detected in albumen. Estimates showed that overall OP burdens in the body (3.5 μg) were greater than in the whole egg (1.2 μg), although depuration via in ovo transfer was substantial.
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 | 0.000 | 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) | 0.001 | 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".