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Record W2781715841 · doi:10.1016/j.jasms.2007.09.014

Erratum to: Peptide shifter: Enhancing separation reproducibility using correlated expression profiles

2007· erratum· en· W2781715841 on OpenAlexaffabout
Dmitri Sitnikov, Joanna M. Hunter, Clive Hayward, Kevin Eng, Isabelle Migneault, Sylvain Tessier, Gregory J. Opiteck, Paul Kearney

Bibliographic record

VenueJournal of the American Society for Mass Spectrometry · 2007
Typeerratum
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsCaprion (Canada)
Fundersnot available
KeywordsProteomicsLibrary scienceComputer scienceChemistry

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVAdditions & Corr...Additions & CorrectionsNEXTORIGINAL ARTICLEThis notice is a correctionErratum to: Peptide shifter: Enhancing separation reproducibility using correlated expression profilesDmitri SitnikovDmitri SitnikovCaprion Proteomics, Montreal, Quebec, CanadaMore by Dmitri Sitnikov, Joanna M. HunterJoanna M. HunterCaprion Proteomics, Montreal, Quebec, CanadaMore by Joanna M. Hunter, Clive HaywardClive HaywardCaprion Proteomics, Montreal, Quebec, CanadaMore by Clive Hayward, Kevin EngKevin EngCaprion Proteomics, Montreal, Quebec, CanadaMore by Kevin Eng, Isabelle MigneaultIsabelle MigneaultCaprion Proteomics, Montreal, Quebec, CanadaMore by Isabelle Migneault, Sylvain TessierSylvain TessierCaprion Proteomics, Montreal, Quebec, CanadaMore by Sylvain Tessier, Gregory J. OpiteckGregory J. OpiteckCaprion Proteomics, Montreal, Quebec, CanadaMore by Gregory J. Opiteck, and Paul KearneyPaul KearneyCaprion Proteomics, Montreal, Quebec, CanadaMore by Paul KearneyCite this: J Am Soc Mass Spectrom 2007, 18, 11, 2081Publication Date (Web):November 1, 2007Publication History Published online1 November 2007Published inissue 1 November 2007https://pubs.acs.org/doi/10.1016/j.jasms.2007.09.014https://doi.org/10.1016/j.jasms.2007.09.014correctionACS PublicationsCopyright © 2007 © American Society for Mass Spectrometry 2007. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views6Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (256 KB) Get e-Alerts

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)0.004
metaresearch head score (Gemma)0.016
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: none
Teacher disagreement score0.186
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1860.127

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 head0.019
GPT teacher head0.331
Teacher spread0.312 · 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

Citations0
Published2007
Admission routes2
Has abstractyes

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Same venueJournal of the American Society for Mass SpectrometrySame topicAdvanced Proteomics Techniques and ApplicationsFrench-language works237,207