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Record W2044317860 · doi:10.4141/cjas07040

A rapid, sensitive method for testing the activity of <i>Escherichia coli</i> 0157:H7 secreted cytotoxins against epithelial cells from the jejunum and descending colon of cattle

2008· article· en· W2044317860 on OpenAlexafffundvenue
Danica Baines, Luke Masson, Tim A. McAllister

Bibliographic record

VenueCanadian Journal of Animal Science · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsBiotechnology Research InstituteAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaBeef Cattle Research Council
KeywordsEscherichia coliCytotoxicityMicrobiologyJejunumBiologySecretionEnterotoxigenic Escherichia coliCell cultureCaco-2EnterobacteriaceaeBacteriaCellBiochemistryIn vitroEnterotoxinGene

Abstract

fetched live from OpenAlex

Current methods for assessing Escherichia coli O157:H7 secreted cytotoxin activity are based on exposing human cell lines for 12 to 72 h and monitoring changes in cell morphology, adherence or enzyme release. These methods, although sensitive, use non-ruminant cell lines that may not represent cattle responses to E. coli O157:H7 secreted cytotoxins. The modified lawn assay used in this study was found to be a simple, fast and sensitive method for assessing cattle epithelial cell susceptibility to E. coli O157:H 7 secreted cytotoxins within 4 to 6 h. Key words: Escherichia coli O157:H7, cattle, intestine, cytotoxins, cytotoxicity

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.040
GPT teacher head0.282
Teacher spread0.242 · 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

Citations6
Published2008
Admission routes3
Has abstractyes

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