Laboratory Case Identification of Arsenic in Ronpibul Village, Thailand (2000–2002)
Bibliographic record
Abstract
Ronpibul village dwellers in the southern part of Thailand have been exposed to arsenic in the water and the environment over three generations. Over the past decades, clean water supplies, utilization and consumption have been introduced to the area. The villagers still use and select rainwater to other forms of potable water. In 2000, the epidemiological survey by Siripitayakunkit (Siripitayakunkit, U. Survey of Chronic Arsenic Poisoning in Ronpiboon, Nakhon Si Thammarat, Thailand, 2000. Proc. 6th International Conference on the Biochemistry of Trace Elements, Guelph, Canada) showed prevalence rate at 24.7%, by using the skin lesion as selection criteria. In 2000-2002, attempt to initiate the local arsenic patient center, we investigated the population at risk in three villages. The laboratory analyses cover urine arsenic level, urine sugar screening and skin lesion classified by dermatologist. The result showed the prevalence of 5.99% of melanosis and 8.67% of hyperkeratosis, 3.84% of urine sugar > 100 mg/dL and 6.33% urine arsenic > 50 microg/g creatinine. There were low to negligible correlation between arsenic urine with urine sugar (r2 = 0.241) and arsenic urine with skin lesion (r2 = 0.058).
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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 | 0.005 | 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 | 0.000 | 0.001 |
| 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 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".