Evidence map›Paper›PMID 33434481›Full record

ArticleCurrent biology : CB2021

Prediction and Learning: Understanding Uncertainty.

Daniel Yon

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The Many Roles of Precision in Action.Entropy (Basel, Switzerland) · 2024
    Review
  2. Expectations about precision bias metacognition and awareness.Journal of experimental psychology. General · 2023
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Daniel YonDepartment of Psychology, Goldsmiths, University of London, London, UK, and Department of Psychological Sciences, Birkbeck, University of London, London, UK. Electronic address: d.yon@gold.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We build models of the world around us to guide perception and learning in the face of uncertainty. New evidence reveals a neurocomputational mechanism that links predictive processes across cognitive domains.

Indexed as

LearningUncertainty

Identifiers

PMID33434481

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.