Contaminant Exposure among Women of Childbearing Age Who Eat St. Lawrence River Sport Fish
Bibliographic record
Abstract
Little information is available concerning the level of consumption and degree of contaminant exposure for North American women of childbearing age who eat sport fish. The authors reanalyzed a 1995-1996 study of Montreal-area (Canada) sport fishers. The authors focused on women sport fishers of childbearing age and male sport fishers who had spouses of childbearing age. The primary research involved an on-site questionnaire about fish consumption, with follow-up assessment of sport fishers estimated to have either the highest or lowest levels of fish-based contaminant exposure. Among the 1,654 interviewees were 100 women less than 45 yr of age who had eaten sport fish for an average of 11 yr; 45% ate fish less than once a month. From the follow-up subsample of high- and low-level consumers, the authors identified 17 women less than 45 yr of age and 25 males whose spouses who were less than 45 yr of age and who consumed similar quantities of sport fish. Among this group of 42, the high-exposure women differed from the low-exposure women with respect to their yearly consumption of freshwater fish, blood mercury levels (median = 6.4 vs. 1.4 microgram/l), and plasma polychlorinated biphenyl congener 99 (median = 10.5 vs. 5.9 microgram/kg plasma lipids). Few Montreal-area women of childbearing age consume local sport fish frequently or for extended periods. However, among the small proportion that consumes sport fish frequently or for extended periods, blood mercury concentrations approach levels of concern for fetal protection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".