Evidence map›Paper›PMID 24860255›Full record

ArticleThe European physical journal. B2009

Micro-bias and macro-performance.

S M D Seaver, A A Moreira, M Sales-Pardo, R D Malmgren, D Diermeier, L A N Amaral

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The European physical journal. B, 2009. 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. Mathematical prediction of the spreading rate of COVID-19 using entropy-based thermodynamic model.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2021
    Article
  2. Article
  3. Article
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

6 authors.

S M D SeaverDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA ; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA.
A A MoreiraDepartamento de Física, Universidade Federal do Ceará, Ceará, Brazil.
M Sales-PardoDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA ; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA ; Northwestern University Clinical and Translational Sciences Institute, Chicago, IL 60611, USA.
R D MalmgrenDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA ; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA.
D DiermeierNorthwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA ; Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, Evanston, IL 60208, USA.
L A N AmaralDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA ; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA.

Funding

MULTIDISCIPLINARY CLINICAL AND TRANSLATIONAL SCIENCE (MCTS) PROGRAM (UL1)UL1RR025741 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$24.7M
Howard Hughes Medical InstituteNCRR NIH HHS UL1 RR025741
6 · The paper itself

Abstract

We use agent-based modeling to investigate the effect of conservatism and partisanship on the efficiency with which large populations solve the density classification task - a paradigmatic problem for information aggregation and consensus building. We find that conservative agents enhance the populations' ability to efficiently solve the density classification task despite large levels of noise in the system. In contrast, we find that the presence of even a small fraction of partisans holding the minority position will result in deadlock or a consensus on an incorrect answer. Our results provide a possible explanation for the emergence of conservatism and suggest that even low levels of partisanship can lead to significant social costs.

Identifiers

PMID24860255
PMCPMC4029510

What OpenQuestion holds

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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.