Three Gorges Dam: Influence of water quality on the density of schistosome-transmitting Oncomelania hupensis in the Dongting Lake Area, China
Bibliographic record
Abstract
Abstract Schistosomiasis is a severe infectious disease and snails contribute to its transmission. Many factors, including water quality, affect the distribution of snails. This study collected the data on snails and indicators related to water quality in the Dongting Lake area from the period of 1998–2014. Water quality indexes such as permanganate index (COD Mn ), five-day biochemical oxygen demand (BOD 5 ), total nitrogen (TN) and total phosphorus (TP) in correction with snail density were first examined using the Mann-Kendall (M-K) test. And then a Bayesian spatial-temporal model was constructed to evaluate the effect of water quality on snail density adjusting for meteorological factors and spatial-temporal variations. The results showed that the density of snails in the Dongting Lake area was influenced by water quality. The growth and reproduction of snails were promoted at a low pollution concentration, while inhibited at a high pollution concentration. These findings might provide valuable insights for relevant authorities to monitor the quality of water environment through investigating snail density.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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".