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Record W2056075909 · doi:10.1002/rcm.621

Tandem mass spectra of tryptic peptides at signal‐to‐background ratios approaching unity using electrospray ionization high‐field asymmetric waveform ion mobility spectrometry/hybrid quadrupole time‐of‐flight mass spectrometry

2002· article· en· W2056075909 on OpenAlexaff
David A. Barnett, Luyi Ding, Barbara Ells, Randy W. Purves, Roger Guevremont

Bibliographic record

VenueRapid Communications in Mass Spectrometry · 2002
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsChemistryMass spectrometryProtein mass spectrometryTandem mass spectrometryTop-down proteomicsAnalytical Chemistry (journal)Electrospray ionizationQuadrupoleMass spectrumSample preparation in mass spectrometryElectrosprayTandemIonTime-of-flight mass spectrometryHybrid mass spectrometerTriple quadrupole mass spectrometerChromatographySelected reaction monitoringIonizationAtomic physics

Abstract

fetched live from OpenAlex

High-field asymmetric waveform ion mobility spectrometry (FAIMS) has been coupled to a quadrupole time-of-flight mass spectrometer for the tandem mass spectrometric analysis of tryptic peptides of pig hemoglobin. Using FAIMS, low levels (fmol/microL) of multiply charged tryptic peptides were separated from relatively intense chemical background such that their tandem mass spectra (MS/MS) lacked many background-related fragment ions observed using a conventional ESI-QqTOFMS instrument. Substantial improvements in both first-order and tandem mass spectra were realized while maintaining approximately the same absolute intensities.

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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.271
Teacher spread0.243 · 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
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

Citations38
Published2002
Admission routes1
Has abstractyes

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