Immunotoxicity of Polychlorinated Biphenyls: Present Status and Future Considerations
Bibliographic record
Abstract
Polychlorinated biphenyls (PCBs) are widely spread environmental contaminants consisting of chemical mixtures containing many of the 209 possible congeners. The potential immunomodulatory properties of PCBs have been the subject of extensive experimental investigations. The available evidence indicates that the immune system is a target for PCBs and is perhaps one of the most sensitive indicators for adverse PCB-induced health effects. Recent advances regarding the mechanism of PCB-induced immunotoxicity point to their dependency on the presence of the aromatic hydrocarbon receptor and their ability to bind to this receptor as the venue for their toxicological activity. Their binding affinity depends on the degree of chlorination of the biphenyl structure and the position of the chlorine atoms. Such advances have contributed significantly to the determination of the relative immunotoxic potential of PCB mixtures and to the calculation of TEFs for several of the PCB congeners. Such information is critical for evaluating the potential risk PCBs pose to human health. To fully exploit the potential contribution immunotoxicology can make to risk assessment, it is important that the data base on mechanism(s) of PCB-induced immunotoxicity and the potential agonistic/antagonistic properties of PCBs be expanded considerably.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".