DEFINING A HAIR MERCURY LOAEL FOR NEUROTOXIC RISK TO THE UNBORN CHILD THROUGH MATERNAL FISH CONSUMPTION
Bibliographic record
Abstract
Methylmercury, whose primary source of exposure is via maternal fish consumption, can adversely affect human fetal neurodevelopment. The objectives of this diesis were threefold: 1) To systematically review the evidence of neurodevelopmental risks to the fetus from maternal fish consumption, to define a Lowest Observable Adverse Effect Level (LOAEL); 2) To measure mercury in hair of several groups including women of reproductive age, to define the proportion reaching this LOAEL; and 3) To investigate their perception of risk. We defined our LOAEL at 0.3pg/g maternal hair mercury. The Japanese population were the heaviest fish consumers, reflected by their high hair mercury content (1.7 pg/g) compared to Motherisk callers (0.41 pg/g), WIFN volunteers (0.23 pg/g) and Canadian women (0.15 pg/g). The negative perceptions of Motherisk callers were justified because 64% were above our LOAEL. Analysis of hair mercury content prior to pregnancy could be employed to protect the fetus
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".