MétaCan
Menu
Back to cohort
Record W2216716385 · doi:10.1007/978-1-59745-493-3

Mass Spectrometry of Proteins and Peptides

2009· book· en· W2216716385 on OpenAlexfundno aff
Mary Lipton, Ljiljana Paša‐Tolić

Bibliographic record

VenueMethods in molecular biology · 2009
Typebook
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsnot available
FundersPacific Northwest National LaboratoryUniversität des SaarlandesUniversity of TorontoWestfälische Wilhelms-Universität MünsterGenome British ColumbiaJoint Genome InstituteU.S. Department of EnergyStowers Institute for Medical ResearchWashington State UniversityUniversity of Wisconsin-Madison
KeywordsMass spectrometryChemistryProtein mass spectrometryChromatographyComputational biologyTandem mass spectrometryBiology

Abstract

fetched live from OpenAlex

Chapter 3, Figure The growth conditions were meant to mimic growth conditions of the bacteria when in the flea vector (ambient temperature) and after infection into the mammalian host (37 C with millimolar amounts of divalent calcium as experience in the bloodstream and extracellular fluid, and an absence of free divalent calcium as experience inside the host cells) The abundance values were transfomed into z-scores for the whole cell set using the average protein value for the whole cell set. The z-score values were calculated separately for the pellet and supernatant data together using their average abundance. The abundance values thus are represented by color for 992 Y. pestisproteins identified in triplicate analyses of each sample. Significant protein abundance value changes due to culture condition and cell fractionation can easily be observed. +Ca2+, growth with 4 mM Ca2+; -Ca2+, growth with no Ca2+; ND, not detected.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.357
Teacher spread0.342 · 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.

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

Citations23
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMethods in molecular biologySame topicMass Spectrometry Techniques and ApplicationsFrench-language works237,207