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Record W3047891117 · doi:10.3138/jammi-2020-0007

Rabies virus infection in a 21-year-old male presenting with ascending paralysis after a bat scratch

2020· article· en· W3047891117 on OpenAlexaffvenue
Shay-Anne Daniels, Elizabeth M. King, Christopher Olivier, John Harding, Christine Fehlner‐Gardiner, Susan A. Nadin‐Davis, Melanie C. M. Murray

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsVancouver Coastal HealthUniversity of SaskatchewanCanadian Food Inspection AgencyUniversity of British Columbia
Fundersnot available
KeywordsMedicineRabiesRabies virusParalysisPediatricsPathologySurgery

Abstract

fetched live from OpenAlex

A 21-year-old, previously healthy male presented to hospital following 1 week of bilateral asymmetric ascending paralysis, odynophagia, and dysphagia. Initial magnetic resonance imaging (MRI) of the spine revealed an abnormal increased T2 signal with predominant dorsal column involvement and sparing of white matter throughout the cervical cord and extending to T5. The initial presumptive diagnosis was an acute infectious, versus inflammatory, myelitis. On reviewing the history, family members recalled a bat scratch on the left hand, sustained months prior, for which the patient did not seek or receive post-exposure prophylaxis (PEP). Rabies virus (RABV) RNA was detected by quantitative reverse transcription polymerase chain reaction (RT-qPCR) in two saliva samples, while nuchal skin biopsy and cerebrospinal fluid (CSF) were negative. Serum was negative for RABV neutralizing antibody. Sequencing and phylogenetic analyses identified the infecting RABV as a variant associated with silver-haired bats. Following risk assessment of exposure, 67 health care workers and several family members were offered PEP.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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 designCase report
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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

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