ArticleNature2025
A foundation model to predict and capture human cognition.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed.
- Digital twins are funhouse mirrors: Five systematic distortions.Science advances · 2026Article
- Persona-prompted LLM agents achieve modest but genuine prediction of human social media reactions.Scientific reports · 2026Article
- Large Language Models Persuade Without Planning Theory of Mind.Cognitive science · 2026Article
- Review
- Adding LLMs to the psycholinguistic norming toolbox: A practical guide to getting the most out of human ratings.Behavior research methods · 2026Article
- A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.iScience · 2026Article
- Understanding large language models demands distinguishing human projection from machine cognition.Communications psychology · 2026Review
- Generative AI as a transformational logic for cognitive neuroscience.Communications biology · 2026Review
- Large language models accurately identify decision reasons in verbal reports.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Benchmarking Large Language Model Rationality Using Measurement Axioms.Research square · 2026Article
- AI-Discovered Cognitive Models Reveal Novel Insights into Human and Animal Learning.bioRxiv : the preprint server for biology · 2026Article
- Simulating population compliance with pandemic interventions using large language models.medRxiv : the preprint server for health sciences · 2026Article
- AI-driven complex systems redefine cognitive science.Innovation (Cambridge (Mass.)) · 2026Review
- Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health.Pharmacopsychiatry · 2026Review
- Hybrid neural-cognitive models reveal how memory shapes human reward learning.Nature human behaviour · 2026Article
- The AI interviewer: multi-faceted evaluation of adaptive questioning by large language models.Scientific reports · 2026Article
- Escaping the Jingle-Jangle Jungle: Increasing Conceptual Clarity in Psychology Using Large Language Models.Current directions in psychological science · 2026Article
- Correlations without causation do not support claims of human-LLM reasoning alignment.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Affiliation in human-AI interactions is based on shared psychological traits.Communications psychology · 2026Article
- Snake Oil or Panacea? How to Misuse AI in Scientific Inquiries of the Human Mind.Behavioral sciences (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
40 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Establishing a unified theory of cognition has been an important goal in psychology
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.