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Rapid differentiation of <i>Ophiostoma ulmi</i> and <i>Ophiostoma novo‐ulmi</i> isolates by matrix‐assisted‐laser‐desorption/ionization time‐of‐flight/time‐of‐flight mass spectrometry

2009· article· en· W1965835661 on OpenAlexaff
C. Huang, R. S. Jeng, Mohini Sain, M. Hubbes, Michael Dumas

Bibliographic record

VenueForest Pathology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsOntario Forest Research InstituteUniversity of Toronto
Fundersnot available
KeywordsBiologyDutch elm diseaseOphiostomaMass spectrometryBotanyMatrix (chemical analysis)ChromatographyChemistryFungus

Abstract

fetched live from OpenAlex

Summary The intact yeast phase spores of Ophiostoma ulmi and O. novo‐ulmi isolates were analysed by matrix‐assisted‐laser‐desorption/ionization time‐of‐flight/time‐of‐flight mass spectrometry. The results clearly showed that isolates of O. ulmi and O. novo‐ulmi have different mass peak profiles. The specific mass in m/z may vary slightly. One of the peaks from m/z 7623 to 7630 dominated (in high intensity) mass spectra for all isolates of O. novo‐ulmi tested in this study. This specific peak is believed to be CU (cerato‐ulmi) protein. However, no specific m/z peak can be found to distinguish between the isolates of ssp. novo‐ulmi and ssp. americana. On the contrary, all isolates of O. ulmi tested possessed one of a dominate peak at m/z 7337 to 7342, but none around m/z 7626 as shown in O. novo‐ulmi isolates.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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
GenreEmpirical

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

Citations3
Published2009
Admission routes1
Has abstractyes

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