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Record W2736848882 · doi:10.1038/s41562-017-0189-z

Redefine statistical significance

2017· article· en· W2736848882 on OpenAlexafffund
Daniel J. Benjamin, James O. Berger, Magnus Johannesson, Brian A. Nosek, Eric‐Jan Wagenmakers, Richard A. Berk, Kenneth A. Bollen, Björn Brembs, Lawrence Brown, Colin F. Camerer, David Cesarini, Chris Chambers, Merlise A. Clyde, Thomas D. Cook, Paul De Boeck, Zoltán Dienes, Anna Dreber, Kenny Easwaran, Charles Efferson, Ernst Fehr, Fiona Fidler, Andy P. Field, Edward I. George, Richard Gonzalez, Steven N. Goodman, Edwin Green, Donald P. Green, Anthony G. Greenwald, Jarrod D. Hadfield, Larry V. Hedges, Leonhard Held, Teck‐Hua Ho, Herbert Hoijtink, Daniel J. Hruschka, Kosuke Imai, Guido W. Imbens, John P. A. Ioannidis, Minjeong Jeon, James H. Jones, Michael Kirchler, David Laibson, John A. List, Roderick J. A. Little, Arthur Lupia, Édouard Machery, Scott E. Maxwell, Michael A. McCarthy, Don A. Moore, Stephen L. Morgan, Marcus R. Munafò, Shinichi Nakagawa, Brendan Nyhan, Timothy Parker, Luis R. Pericchi, Marco Perugini, Jeff Rouder, Judith Rousseau, Victoria Savalei, Felix D. Schönbrodt, Thomas Sellke, Betsy Sinclair, Dustin Tingley, Trisha Van Zandt, Simine Vazire, Duncan J. Watts, Christopher Winship, Robert L. Wolpert, Yu Xie, Cristobal Young, Jonathan Zinman, Valen E. Johnson

Bibliographic record

VenueNature Human Behaviour · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversity of British Columbia
FundersRoyal Holloway, University of LondonWeinberg College of Arts and Sciences, Northwestern UniversityUniversity of California, IrvineUniversity of California, Los AngelesUniversität InnsbruckUniversität ZürichUniversität RegensburgUniversiteit UtrechtWharton School, University of PennsylvaniaUniversiteit van AmsterdamUniversity of New South WalesGöteborgs UniversitetOhio State UniversityNational University of SingaporeUniversity of BristolColumbia UniversityUniversity of EdinburghMedical Research CouncilUniversity of SussexNorthwestern UniversityYork UniversityDartmouth CollegeCardiff UniversityUniversity of Notre DameUniversity of PittsburghPrinceton UniversityUniversity of WashingtonJohns Hopkins UniversityDirectorate for Biological SciencesImperial College LondonArizona State UniversityHarvard UniversityUniversità degli Studi di MilanoUniversity of PennsylvaniaUniversity of Southern CaliforniaSchool of Human Evolution and Social Change, Arizona State UniversityCalifornia Institute of Technology
KeywordsPsychologyComputer science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.457
metaresearch head score (Gemma)0.796
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.543
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4570.796
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0110.014
Bibliometrics0.0130.013
Science and technology studies0.0050.023
Scholarly communication0.0130.016
Open science0.0090.012
Research integrity0.0110.044
Insufficient payload (model declined to judge)0.0170.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.689
GPT teacher head0.583
Teacher spread0.106 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2,788
Published2017
Admission routes2
Has abstractno

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