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Facial paralysis in feedlot cattle associated with otitis caused by Mycoplasma bovis

2023· article· en· W4388308702 on OpenAlexaff
Carlos A. Margineda, Santiago S. Diab, María Alejandra Quiroga, Alfonso López

Bibliographic record

VenueBrazilian Journal of Veterinary Pathology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsOtitisFacial paralysisMedicineParalysisFeedlotFacial nerveLabyrinthitisPathologyBiologySurgeryHearing lossAudiology

Abstract

fetched live from OpenAlex

The paper describes an outbreak of Mycoplasma bovis-associated bronchopneumonia and otitis clinically associated with facial paralysis in feedlot steers in Argentina. Three of sixty-one feedlot animals from the same pen developed unilateral facial paralysis primarily with ear dropping, droopy eyelids (eyelid ptosis), and head tilt. Postmortem exanimation revealed cranioventral consolidation of the lungs (bronchopneumonia) and the presence of abundant purulent exudate in the tympanic bulla (otitis). The affected lung had a nodular appearance. Histopathological examination of the middle and inner ear showed necrotizing, suppurative otitis, and bronchopneumonia with bronquiectasis compatible with M. bovis infection. Immunohistochemistry of the lung, and middle and inner ear revealed abundant M. bovis antigen. The ELISA tests revealed that the two animals showing facial paralysis had seroconverted for M. bovis. To our knowledge, these are the first reported cases of M. bovis otitis in Argentina. These findings should alert veterinarians and diagnosticians of the relevance of M. bovis as a cause of otitis and facial paralysis in cattle.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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