Evidence map›Paper›PMID 40832215›Full record

ArticlebioRxiv : the preprint server for biology2025

Evaluating scientific theories as predictive models in language neuroscience.

Chandan Singh, Richard J Antonello, Sihang Guo, Gavin Mischler, Jianfeng Gao, Nima Mesgarani, Alexander G Huth

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

7 authors.

Chandan SinghMicrosoft Research, Redmond, WA, USA.
Richard J AntonelloElectrical Engineering Department, Columbia University, NY, USA.
Sihang GuoNeuroscience Department, University of California, Berkeley, CA, USA.
Gavin MischlerElectrical Engineering Department, Columbia University, NY, USA.
Jianfeng GaoMicrosoft Research, Redmond, WA, USA.
Nima MesgaraniElectrical Engineering Department, Columbia University, NY, USA.
Alexander G HuthNeuroscience Department, University of California, Berkeley, CA, USA.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Modern data-driven encoding models are highly effective at predicting brain responses to language stimuli. However, these models struggle to

Identifiers

PMID40832215
PMCPMC12363820

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.