MétaCan
Menu
Back to cohort
Record W3128676145 · doi:10.1093/plphys/kiab023

Large-scale identification of ubiquitination sites on membrane-associated proteins in <i>Arabidopsis thaliana</i> seedlings

2021· letter· en· W3128676145 on OpenAlexafffund
Lauren E. Grubb, Paul Derbyshire, Katherine Dunning, Cyril Zipfel, Frank L.H. Menke, Jacqueline Monaghan

Bibliographic record

VenuePLANT PHYSIOLOGY · 2021
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsQueen's University
FundersH2020 European Research CouncilBiotechnology and Biological Sciences Research CouncilDirectorate for Biological SciencesOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaQueen's UniversityGatsby Charitable Foundation
KeywordsUbiquitinArabidopsis thalianaArabidopsisIdentification (biology)F-box proteinKinaseCell biologyBiologyMembrane proteinBotanyBiochemistryMembraneUbiquitin ligaseGeneMutant

Abstract

fetched live from OpenAlex

An analysis of the identification of ubiquitination sites on proteins found at the cell periphery, including over 100 protein kinases.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.003

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 head0.015
GPT teacher head0.231
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations45
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePLANT PHYSIOLOGYSame topicUbiquitin and proteasome pathwaysFrench-language works237,207