Project-level causal inference of a minimum viable scale threshold and adoption band in CCUS-enabled hydrogen.

Joseph Junior Nkou Nkou, Olusola Bamisile, Chukwuebuka J Ejiyi, Anto Jonathan Leoba, Qi Huang, Cai Dongsheng

Abstract read

In one paragraph

Article in iScience, 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

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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

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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

6 authors.

Joseph Junior Nkou NkouCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Olusola BamisileCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Chukwuebuka J EjiyiCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Anto Jonathan LeobaCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Qi HuangCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Cai DongshengCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan P.R 610059, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we analyze whether adopting carbon capture, utilization, and storage (CCUS) causally raises the deployable capacity of hydrogen projects, and under what scale and infrastructure conditions any such effect emerges. Analyzing 2,437 announced global hydrogen projects (182 with CCUS, 2,255 without) from the IEA Hydrogen Production Projects Database 2025, we apply a project-level multi-estimator causal-inference stack-augmented inverse probability weighting, propensity-score matching, X-Learner and DR-Learner-with binary-segmentation changepoint detection, Rosenbaum-bound and

Indexed as

carbon capture and storagecausal inferenceCCSenergy policyheterogeneous treatment effectshydrogen production capacity

Identifiers

PMID42699110

DOI10.1016/j.isci.2026.117236

PMCPMC13543895

What OpenQuestion holds

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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.