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Record W1977868831 · doi:10.1021/pr070706t

Ringing in 2007 | Solid statistics will promote development of proteomics

2007· article· en· W1977868831 on OpenAlexfundno aff
William S. Hancock, Martin McIntosh

Bibliographic record

VenueJournal of Proteome Research · 2007
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsnot available
FundersUniversity of California, Los AngelesSchool of Medicine, Vanderbilt UniversityRijksuniversiteit GroningenMcGill UniversityUniversity of OttawaNational Cancer InstituteCarnegie Mellon UniversityUniversité de GenèveYale UniversityVanderbilt UniversityPurdue UniversityNorth Carolina State UniversityBristol-Myers SquibbAstraZenecaJohns Hopkins UniversityPfizer
KeywordsRingingProteomicsData scienceComputer scienceStatisticsBiologyMathematicsTelecommunicationsBiochemistry

Abstract

fetched live from OpenAlex

Ringing in 2007t he first issue of a new year is a happy time with the appearance of our new protein of the year, the eukaryotic initiation factor complex 4F.Specifically, the journal's 2007 cover depicts two core components, eIF4E and eIF4G (residues 393-490), in complex.Thanks to John Gross of the University of California, San Francisco, and Gerhard Wagner of Harvard Medical School for providing the image.The journal team is recovering from another year of hectic growth-an ~60% increase in the number of manuscripts has taken us past 700 submitted for the year.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.267
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.420
Teacher spread0.368 · 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 teacher head, not a consensus.

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

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
Published2007
Admission routes1
Has abstractyes

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