Polychlorinated biphenyls (PCBs) in human milk from two major electronic waste (e-waste) recycling areas in Taizhou,China
Bibliographic record
Abstract
The levels of PCBs in breast milk of volunteer mothers from two typical e-waste recycling areas( Luqiao and Wenling) in Taizhou, Zhejiang Province were examined. The median concentrations of total PCBs found in human milk of mothers from Luqiao( n = 16) and Wenling( n=27),and of mothers( n = 9) who have resided in Taizhou for less than 5 years,were195 ng·g-1lipid weight( lw),138 ng·g-1lw and 59. 1 ng·g-1lw,respectively. PCBs levels in human milk of mothers from Luqiao and Wenling were significantly higher than those of mothers whose residential time in Taizhou 5 years( P 0. 001),and they were also well above the background levels of Zhejiang Province and China. In this study,CB-118,CB-153 and CB-138 were the three most abundant PCBs congeners,which was similar to the congener profiles of PCBs in the foodstuffs collected from Taizhou. Estimated daily intake( EDI) of PCBs for nursing infants from Luqiao was slightly over the tolerable daily intake( TDI) of PCBs for adults recommended by Health Canada,Environmental Health Directorate,and EDI of PCBs for infants from Wenling was much higher than the average level of twelve provinces /cities in China,suggesting a high exposure risk of infants to PCBs in these two areas. PCBs levels were insignificantly correlated with the maternal age,pre-pregnant body mass index( BMI),parity and infant weight and gender.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 teacher head, 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".