Polyhalogenated Carbazoles in Sediments of Lake Michigan: A New Discovery
Bibliographic record
Abstract
Previously unknown halogenated compounds were detected during the analysis of halogenated flame retardants in two sediment cores collected from Lake Michigan. Gas chromatography coupled with high- or low-resolution mass spectrometry (MS) was used to determine the chemical structures for a total of 15 novel polyhalogenated carbazoles (PHCs) with the general molecular formula C12H9-x-y-zNClxBryIz. On the basis of the mass spectra generated by electron impact (EI) and electron capture negative ionization (ECNI) MS, eight PHCs were tentatively identified as polybrominated carbazoles, while the others were mixed halogenated carbazoles containing, in addition to bromine, either chlorine or iodine or both. Patterns of halogen substitution of PHCs included Br2 to Br5, ClBr2, ClBr3, ClBr4, ClBr3I, Br4I, and Br3I2. 3,6-Dibromocarbazole and 1,3,6,8-tetrabromocarbazole were also found among the PHCs. Profiles of the concentration versus depth of sediment at the two sites showed various patterns among polybrominated carbazoles. The abundance of mixed halogenated carbazoles peaked at depths of 12-16 cm, remained at relatively constant levels in deeper sediment, but declined markedly in more recently deposited sediments. This is the first study discovering the seven mixed halogenated carbazoles in the environment. Detailed methods for their detection and identification are provided.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".