MétaCan
Menu
Back to cohort
Record W4307497504 · doi:10.1096/fj.202201455r

The nuclear bodies conference: Hubs of genomic activity, June 24–28, Western Shore, Nova Scotia, Canada

2022· article· en· W4307497504 on OpenAlexaboutno aff
Paul D. Kaufman, Sui Huang, Thoru Pederson

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthNew England BiolabsIonis PharmaceuticalsCompany of BiologistsFederation of American Societies for Experimental Biology
KeywordsNova scotiaShoreNova (rocket)GeographyGenealogyEvolutionary biologyBiologyPolitical scienceLibrary scienceHistoryArchaeologyFisheryEngineeringComputer scienceAeronautics

Abstract

fetched live from OpenAlex

This conference brought together leaders in the investigation of various bodies that populate the nucleus, a field that complements research on chromosome biology. These nuclear bodies had been receiving increasing attention as hubs of genome activity and the new findings reported at the conference strongly confirmed and significantly expanded this principle.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.385
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0610.012

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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicRNA and protein synthesis mechanismsFrench-language works237,207