Mercurialism Determination in Fetuses Bone Remains from Toluquilla, Queretaro, Mexico
Bibliographic record
Abstract
There are few mentions in Mexican archaeology for study of prehispanic underground mining to exploit the cinnabar, but there are lots of references about their use as pigment for different kind of artifacts in Mesoamerican archaeology. Our research settled at Sierra Gorda emphasized the ancient life form specialized in production and trade of mercury ore, and that includes specific analysis to the human remains gathered in the archaeological work to determination how many of their inhabitants were evolved at this economic activity.The ancient mining was so intensive and extensive at this region pollutes their environment affecting to the ancient population in their health. We present a few rare and special cases with important medical implications about health condition of ancient pregnant women with a journey through toxicological issues and bioaccumulation of mercury in their bodies.The archaeological excavation provides skeletal remains of 200 individuals. We presented 37 cases that represent the diversity of population composition with adults (men and woman), adolescents and infants and 4 rare cases of fetuses buried at Toluquilla archaeological zone. In each case a bone sample was taken for determination of heavy metals by spectrometric chemical techniques.The measurement results for total mercury in bones lead us evaluate the medical implications about their individual health condition and propose a few lines concerning the ancient public health.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".