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Record W4237943963 · doi:10.1002/iub.1555

Issue Information

2017· paratext· en· W4237943963 on OpenAlexfundno aff
Julieta Marrone, Mauro Danielli, I Gaspari, Ra Ul, Alfredo Marinelli, Deepali Sundrani, Ankita Narang, Savita Mehendale, Sadhana Joshi, Preeti Chavan, Angelo Azzi, William J. Whelan, Yeşim Neğiş, Omar A. Coso

Bibliographic record

VenueIUBMB Life · 2017
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsnot available
FundersRégion NormandieLeonard M. Miller School of MedicineUniversitat de BarcelonaUniversità degli Studi di FirenzeSeoul National UniversityDalhousie UniversityUniversidade Federal do Rio de JaneiroUniversity of MiamiNational Heart, Lung, and Blood InstituteUniversità degli Studi di MilanoYale University
KeywordsCitationComputer scienceWorld Wide WebInformation retrievalLibrary science

Abstract

fetched live from OpenAlex

IUBMB Life is the flagship journal of the International Union of Biochemistry and Molecular Biology and is devoted to the rapid publication of the most novel and significant short articles, reviews and papers in the broadly defined fields of biochemistry, molecular biology, cell biology, and molecular medicine.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.123
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8770.844

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 head0.011
GPT teacher head0.301
Teacher spread0.290 · 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 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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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