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Record W4243029226 · doi:10.1002/brb3.266

Issue Information

2015· paratext· en· W4243029226 on OpenAlexfundno aff
Andrei V. Alexandrov, Maryann E. Martone, Kai‐Christian Sonntag, Takashi Suzuki, Wai Kwong Tang, Tanya N. Turan, Hartmut Wekerle, Jianhong Zhu, Alexander Bystritsky, Wesley K. Thompson

Bibliographic record

VenueBrain and Behavior · 2015
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersMenzies Centre for Australian Studies, King's College London, University of LondonUniversity of California, Santa BarbaraNational Institute for Physiological SciencesUniversité de PoitiersUppsala UniversitetUniversity of California, Los AngelesNational Taiwan UniversityBrock UniversityUniversità degli Studi di ParmaTsinghua UniversityBrown UniversityMagyar Tudományos AkadémiaKorea UniversityMcLean HospitalUniversity of South FloridaCurtin University of TechnologyUniversity of SussexUniversity of TorontoGlaxoSmithKline
KeywordsCitationComputer scienceInformation retrievalWorld Wide Web

Abstract

fetched live from OpenAlex

Brain and Behavior is a peer-reviewed, interdisciplinary journal, providing rapid publication of

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.927
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9270.871

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 head0.049
GPT teacher head0.245
Teacher spread0.196 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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