Predicting the Distribution of Arsenic in Groundwater by a Geospatial Machine Learning Technique in the Two Most Affected Districts of Assam, India: The Public Health Implications.

Geohealth · 2022 · PMC8934026 · PMID 35340282

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

highly significantno p-value reported

However, the relationship between elevation and the percentage of As >10 μg/L is highly significant and is positively correlated.

also in 132,142 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.