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Record W4241849099 · doi:10.1002/iub.1673

Issue Information

2018· paratext· en· W4241849099 on OpenAlexfundno aff
Michael Gray, Vamsi K. Mootha, Toni Gabaldón, Gertraud Burger, Matus Valach, Zdene ˇk, Juan Alfonzo, Stuart J. Ferguson, Steven P. D. Harborne, Edmund R.S. Kunji, Romuald Loutre, Anne‐Marie Heckel, Anna Smirnova, Nina Entelis, Ivan Tarassov, S Van Esveld, Martijn A. Huynen, Steven C. Hand, Daniel S. Moore, Yuvraj Patil, Hanane Hadj‐Moussa, Stuart Green, Kenneth B. Storey, Julius Lukeš, Richard John Wheeler, Dagmar Jírsová, Vojte ˇch David, John L. Archibald, David M. Rand, Jim A. Mossman, Lei Zhu, Leann M. Biancani, Jennifer Ge, Viraj Muthye, Dennis V. Lavrov, Sergio Muñoz-Gómez, Angelo Azzi, William J. Whelan, Yeşim Neğiş, Henrique Veiga‐Fernandes

Bibliographic record

VenueIUBMB Life · 2018
Typeparatext
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteUniversity of MiamiRégion NormandieUniversità degli Studi di MilanoLeonard M. Miller School of MedicineUniversitat de BarcelonaUniversità degli Studi di FirenzeSeoul National UniversityUniversité de Caen NormandieDalhousie UniversityUniversidade Federal do Rio de JaneiroYale University
KeywordsCitationComputer scienceWorld Wide WebLibrary scienceInformation retrieval

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)0.006
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 score0.113
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
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)0.8870.845

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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