Erratum: Data-Driven Materials Science: Status, Challenges, and Perspectives.

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

3 citing papers in PubMed.

1. Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory andChemistry of materials : a publication of the American Chemical Society · 2022
   Article
2. Materials informatics approach using domain modelling for exploring structure-property relationships of polymers.Scientific reports · 2022
   Article
3. Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials.International journal of molecular sciences · 2021
   Article

Corrections and comments

• Erratum for
  Data-Driven Materials Science: Status, Challenges, and Perspectives.2019

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract