Cited by 68Artificial Intelligence ApplicationsMachine Learning in Materials ScienceAI-based Problem Solving and Planning

Machine science

Open access
Evans, James, Rzhetsky, Andrey·2010·Science

Abstract

Soon, computers could generate many useful hypotheses with little help from humans.

The claims and statistics of this paper haven’t been checked yet.

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Integrity signals

Registry

Crossref · 10.1126/science.1189416

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several studies have examined the full automation of reverse engineering, from hypothesis generation to experiments and back, termed machine science.

    “During the last decade, several studies have been presented which examine the full automation of reverse engineering, from hypothesis generation to experiments and back, in what has been termed machine science [223].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. [5]Perez-Iratxeta C Bork P Andrade MA Nat. Genet 2002 31 316 12006977
  2. [14]Swanson DR Bull. Med. Libr. Assoc 1990 78 29 2403828 PMC225324
  3. [17]Cokolr M Nat. Biotechnol 2005 23 1243 16211067

Cited by

Sorted by citations

Authors
Evans, J., & Rzhetsky, A.
Affiliations
University of Chicago (US)
Venue
Science
Published
2010-07-23
Volume
329
Issue
5990
Pages
399-400
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W80906861
Cited by
68
References
21
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 4 · 2017: 1 · 2016: 5 · 2015: 3 · 2014: 4 · 2013: 11 · 2012: 8
FWCI
8.79
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5p50mh094267-05)
  • National Institute of Mental Health (P50-MH094267)
  • National Institute of General Medical Sciences (R01GM061372)
  • U.S. National Library of Medicine (R01LM010132)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
Keywords
automated hypothesis generation, artificial intelligence, scientific discovery, machine learning
MeSH terms
Artificial Intelligence, Computers, Concept Formation, Philosophy, Research, Science, Knowledge, Data Mining

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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