Voluntary Exposures: Natural Herbals, Supplements, and Substances of Abuse - What Evidence Distinguishes Therapeutic from Adverse Responses?
Bibliographic record
Abstract
Herbals and supplements are frequently sold over the counter without the requirement of a prescription. While the beneficial effects are widely promoted in the lay press, the impact of these compounds on health may be positive, negative, or neutral. This chapter focuses on the effects of exogenous chemicals on the reproductive system across the life span. In addition, it explores where data permit, the relationship between exposure to these chemicals and adverse effects on the reproductive tract. Experiments on animals and studies from tissue culture are included where epidemiological studies provide evidence of a significant association to address issues of biological plausibility, dose-response, modes and mechanisms of action, and relevance to human health. Of the many environmental toxicants and lifestyle factors known to affect fertility and ovarian function, cigarette smoking is potentially the most clinically relevant and preventable toxic exposure in women, is a global health issue, and it targets for infertility prevention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".