Evidence map›Paper›PMID 30767794›Full record

ArticleThe Behavioral and brain sciences2018

Descending Marr's levels: Standard observers are no panacea.

Carlos Zednik, Frank Jäkel

Abstract readComment
PubMed Publisher
In one paragraph

Article in The Behavioral and brain sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Carlos ZednikOtto-von-Guericke-Universität Magdeburg,D-39016 Magdeburg,Germany.carlos.zednik@ovgu.dehttps://sites.google.com/site/czednik/.
Frank JäkelTechnische Universität Darmstadt,Centre for Cognitive Science,D-64283 Darmstadt,Germany.jaekel@psychologie.tu-darmstadt.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to Marr, explanations of perceptual behavior should address multiple levels of analysis. Rahnev & Denison (R&D) are perhaps overly dismissive of optimality considerations at the computational level. Also, an exclusive reliance on standard observer models may cause neglect of many other plausible hypotheses at the algorithmic level. Therefore, as far as explanation goes, standard observer modeling is no panacea.

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Identifiers

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Registered trials

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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.