Potential role of 2,2'-biphenylquinones in the carcinogenic/anti-cancer activity of dioxins
Bibliographic record
Abstract
Abstract Modes of carcinogenicity for the well-known environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) have been investigated over the past several decades. However, the mechanisms underlying TCDD carcinogenicity are still unclear. Recent work also suggests TCDD may have anti-cancer activity. Based on established photochemical generation of reactive 2,2'-biphenylquinone intermediates from dioxins, a novel toxicological mechanism for TCDD that may be operative is proposed. 2,2'-Biphenylquinones may be obtained via biochemical activation of dioxins such as TCDD, and these intermediates may play a role in expressing both the carcinogenic and anti-cancer activities of this important contaminant class. The broader research community is encouraged to consider this potential new mechanism for dioxin toxicology in the design of future studies, the positive or negative findings from which will supplement the datasets developed by previous and current research groups.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".