ArticleEnvironmental science & technology2022
Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations.
Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Key factors in epidemiological exposure and insights for environmental management: Evidence from meta-analysis.Environmental pollution (Barking, Essex : 1987) · 2024Pooled it
- Four-Decade (1980-2023) Surface Ozone Concentrations across the Contiguous United States: Fine-Resolution Estimates and Health Implications.Environmental science & technology · 2026Article
- Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.Current environmental health reports · 2025Review
- Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application.Scientific reports · 2025Article
- Machine learning methods to predict cadmium (Cd) concentration in rice grain and support soil management at a regional scale.Fundamental research · 2024Article
- An ensemble machine learning model to uncover potential sites of hazardous waste illegal dumping based on limited supervision experience.Fundamental research · 2024Article
- Equity and modeling in sustainability science: Examples and opportunities throughout the process.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.Journal of exposure science & environmental epidemiology · 2024Article
- Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review.Aerosol and air quality research · 2024Article
- Spatiotemporal prediction of OHeliyon · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
3D-grid-based chemical transport models, such as the Community Multiscale Air Quality (CMAQ) modeling system, have been widely used for predicting concentrations of ambient air pollutants. However, typical horizontal resolutions of nationwide CMAQ simulations (12 × 12 km
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.