Spring awakening? Seasonal controls on halomethoxybenzenes in arctic waters
Bibliographic record
Abstract
Halomethoxybenzenes (HMBs), including 2,4-dibromoanisole (DBA), 2,4,6-tribromoanisole (TBA), and drosophilin A methyl ether (1,2,4,5-tetrachloro-3,6-dimethoxybenzene; DAME) are bioaccumulative halogenated compounds with natural and anthropogenic sources. This study characterized these three HMBs in seawater and DAME in air in the Bering and Chukchi Seas. The goal was to describe and explain distributions of HMBs as seasonal ice retreated in spring. The results show that concentrations of individual HMBs are sensitive to distinct environmental processes. DBA decreased during spring blooms, while spring freshwater brought DAME into the system. Net volatilization of DAME occurred at a freshwater-influenced site, while all other site samples demonstrated net deposition of DAME from the atmosphere to seawater or equilibrium with respect to gas exchange. The highest concentrations of TBA occurred near freshwater, but there were no statistically significant trends in the levels of this compound. Arctic sampling did not show evidence of a buildup of HMBs under ice from possible production by ice algae or bacteria. The different trends in concentrations of individual HMBs and their sensitivity to environmental variables over a short timescale complicates comparisons across systems, evaluations of ecological function, and potential risk assessments.
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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 | 0.000 | 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".