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Record W2272918987

Clostridium difficile Mannan and Campylobacter jejuni Heptan

2016· dissertation· en· W2272918987 on OpenAlexaboutno aff
Pawel Gabryelski

Bibliographic record

VenueThe Atrium (University of Guelph) · 2016
Typedissertation
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsCampylobacter jejuniClostridium difficileMicrobiologyCampylobacterMannanMedicineBiologyBacteriaAntibiotics
DOInot available

Abstract

fetched live from OpenAlex

Clostridium difficile infection in humans is on the rise and vaccine targets that will reduce both disease and colonization levels are needed. Potential vaccines comprised of C. difficile cell-wall polysaccharides PS-I, PS-II, and PS-III are being investigated in the Monteiro laboratory at Guelph. In this work, the discovery of mannan moieties in C. difficile is reported. The mannose units were present as end-groups [α-Man-(1→], 2-linked linear units [→2)-α-Man-(1→] and 2,6-linked branch-points [→2,6)-α-Man-(1→]. Within the limits of detection, no mannose residues were detected in the analysis of the growth media. Sporulating C. difficile preparations were observed to contain greater amounts of mannose. Campylobacter jejuni (C. jejuni ) is a food borne pathogen that is one of the leading causes of gastroenteritis in the world. Characterization of the surface polysaccharides is a crucial step in the development of a vaccine against C. jejuni infection. Knowledge about polysaccharide structure will also give insight into the function of bacterial surface and aid in conjugate vaccine development. In this study, the capsular polysaccharide of C. jejuni serotype HS:44 was investigated. Physico-chemical analysis of HS:44 capsular polysaccharide revealed that it was rich in heptose units.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.017
GPT teacher head0.252
Teacher spread0.236 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

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