Evidence map›Paper›PMID 41779779›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Coupled machine learning-ecosystem ensemble models substantially improve predictions of nitrous oxide (N

Prateek Sharma, Bruno Basso, Aditya Manuraj, Michael S Murillo, Neville Millar, Tommaso Tadiello, Mukta Sharma, Mathieu Delandmeter, G Philip Robertson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Three Decades of Soil NGlobal change biology · 2026
    Review
  2. Review
  3. Beyond temperature: Why climate adaptation in agriculture needs a systems approach.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Coupled machine learning-ecosystem ensemble models substantially improve predictions of nitrous oxide (NProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Prateek SharmaDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.ORCID 0000-0001-7116-2048
Bruno BassoDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.ORCID 0000-0003-2090-4616
Aditya ManurajDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.
Michael S MurilloDepartment of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824.
Neville MillarDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.ORCID 0000-0003-0297-0804
Tommaso TadielloDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.ORCID 0000-0001-9919-317X
Mukta SharmaDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.
Mathieu DelandmeterDepartment of Earth and Environmental Sciences, Michigan State University, East Lansing, MI 48824.
G Philip RobertsonW.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060.ORCID 0000-0001-9771-9895

Funding

Builders Initiative Foundation N/ADOE | Office of Science (SC) DE-SC0018409Fonds De La Recherche Scientifique - FNRS (FNRS) N/AFoundation for Food and Agriculture Research (FFAR) N/AMSU | AgBioResearch, Michigan State University (AgBioResearch) N/ANSF (NSF) DEB 2224712United Soybean Board (USB) N/AUSDA ARS LTAR Program N/A.USDA | National Institute of Food and Agriculture (NIFA) 2020-67021-32799
6 · The paper itself

Abstract

Nitrous oxide (N

Indexed as

Crops, AgriculturalEcosystemMachine LearningNitrous OxideEnsemble LearningPredictive Learning ModelsSoilUnited StatesNitrous OxideSoilAIensemble modelingmachine learningmultimodel ensemblenitrous oxide emissions

Identifiers

PMID41779779
PMCPMC12974439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.