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Record W2141831636 · doi:10.1638/02-019

ANTIBIOTIC SENSITIVITY AND BIOCHEMICAL CHARACTERIZATION OF FUSOBACTERIUM SPP. AND ARCANOBACTERIUM PYOGENES ISOLATED FROM FARMED WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) WITH NECROBACILLOSIS

2003· article· en· W2141831636 on OpenAlexaff
Manuel Chirino‐Trejo, Murray R. Woodbury, Fei Huang

Bibliographic record

VenueJournal of Zoo and Wildlife Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFusobacterium necrophorumBiologyEnrofloxacinMicrobiologyOdocoileusFusobacteriumClindamycinVirulenceAntibiotic resistanceAntibioticsVeterinary medicineBacteriaBacteroidesCiprofloxacinZoologyMedicine

Abstract

fetched live from OpenAlex

Bacterial cultures from 32 living and dead farmed white-tailed deer (Odocoileus virginianus) with necrobacillosis yielded Fusobacterium necrophorum from nine individuals, F. varium from six individuals, and Arcanobacterium pyogenes from 16 individuals. The isolates were characterized biochemically using automated identification systems. Gram-stained smears suggested the presence of Fusobacterium spp. in eight cases from which organisms were not cultured. Minimum inhibitory concentration determinations in 23 strains of gram-negative anaerobic bacteria detected resistance to enrofloxacin and clindamycin. Enrofloxacin resistance was detected in A. pyogenes isolates, and although biochemical profiling indicated that the deer strains of A. pyogenes could be grouped, it is uncertain whether these biochemical characteristics correlate with antigenic or virulence factors. Deer-specific or autogenous vaccines may provide a useful alternative to generic vaccines.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.009
GPT teacher head0.230
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations29
Published2003
Admission routes1
Has abstractyes

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