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Record W4384342451 · doi:10.1111/eve.13843

On skunk rabies and its prevention in North America

2023· article· en· W4384342451 on OpenAlexaboutno aff
Andrés Velasco-Villa

Bibliographic record

VenueEquine Veterinary Education · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsRabiesEpizooticRabies virusWildlifeVirologyZoonosisDirect fluorescent antibodyZoologyVeterinary medicineQuarantineBiologyMedicineOutbreakEcologyImmunologyAntibody

Abstract

fetched live from OpenAlex

The case report by Navarro-López et al. (2023) in this issue describes a thorough differential diagnosis in a horse with acute neurological disease.Rabies was confirmed by direct fluorescent antibody (DFA) test.Rabies virus (RABV) was isolated from brain tissue of the ill mare by intracerebral inoculation in sucking mice.Sequencing and phylogenetic inference allowed the identification of the rabies virus variant (RVV) associated with this case.Thus, Navarro-López et al. reported that the rabid mare got infected with a RVV associated with skunks.This clinical commentary elaborates on the seemingly rare skunk rabies across North America (NA), highlighting its relevance in human and animal health that have remained somehow neglected.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.321
Teacher spread0.288 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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