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Record W4386543633 · doi:10.21203/rs.3.rs-3284268/v1

Three Gorges Dam: Influence of water quality on the density of schistosome-transmitting Oncomelania hupensis in the Dongting Lake Area, China

2023· preprint· en· W4386543633 on OpenAlexaff
Jiamin Wang, Yanfeng Gong, Yixin Tong, Honglin Jiang, Ning Xu, Jiangfan Yin, Junhui Huang, Yue Chen, Qingwu Jiang, Yibiao Zhou

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsUniversity of Ottawa
FundersNational Natural Science Foundation of China
KeywordsOncomelania hupensisThree gorgesChinaGeographyWater qualityEnvironmental scienceGeologyEcologySchistosomiasisBiologyArchaeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.113
GPT teacher head0.414
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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