ArticleEnvironmental science & technology2025
Modeling PFAS Sorption in Soils Using Machine Learning.
Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Matching Data Splitting to Extrapolation Targets in Soil Machine Learning: When Is Soil-wise Validation Needed?Environmental science & technology · 2026Article
- TGMin-MLP: a new package for predicting the structures of the mono- and poly-nuclear clusters by the machine learning method.Journal of molecular modeling · 2026Article
- Analytical Tools for Understanding Molecular Level Interactions of Per- and Polyfluoroalkyl Substances (PFAS) with Sorbent Materials.Analytical chemistry · 2026Review
- ML Workflows for Screening Degradation-Relevant Properties of Forever Chemicals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Sorption of Anionic and Zwitterionic Per- and Polyfluoroalkyl Substances Present in Legacy Aqueous Film-Forming Foams.Environmental science & technology · 2026Article
- From carboxylates to chlorinated sulfonates: Contrasting fate and treatment prospects of GenX and F53B in WWTPs.The Science of the total environment · 2025Review
- Unified artificial intelligence framework for modeling pollution dynamics and sustainable remediation in environmental chemistry.Scientific reports · 2025Article
- Article
- Bridging single-species research and mixture reality: Emerging contaminants fate and transport in vadose zones.Journal of environmental qualityReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we introduce PFASorptionML, a novel machine learning (ML) tool developed to predict solid-liquid distribution coefficients (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.