Unequal economic impacts of climate change via idealized carbon dioxide removal: Insights from deep learning.

Bin Tang, Jianan Wei, Yimin Liu, Bian He, Wen Bao, Yi Yang, Wenguan Wang, Wenting Hu, Anmin Duan

Abstract read

In one paragraph

Article in Innovation (Cambridge (Mass.)), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bin TangState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

Jianan WeiThe State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou 311121, China.

Yimin LiuState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

Bian HeState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

Wen BaoResearch Center for Environmental Management, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

Yi YangThe State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou 311121, China.

Wenguan WangThe State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou 311121, China.

Wenting HuState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

Anmin DuanCenter for Marine Meteorology and Climate Change, State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapidly reducing carbon dioxide (CO

Indexed as

carbon dioxide removalclimate changedeep learning

Identifiers

PMID42890584

DOI10.1016/j.xinn.2026.101505

PMCPMC13673538

What OpenQuestion holds

Textmetadata

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.