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Record W2149933774 · doi:10.1177/0883073810382660

Miller Fisher Syndrome in a Toddler With Influenza A (pH1N1) Infection

2010· article· en· W2149933774 on OpenAlexaff
Cecilia T. Costiniuk, Nicole Le Saux, Eric Sell, Asif Doja, Timothy Karnauchow, Pierre Jacob, Charles Hui

Bibliographic record

VenueJournal of Child Neurology · 2010
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMiller-Fisher syndromeToddlerVirologyMedicineMillerPediatricsPsychologyBiologyGuillain-Barre syndromeDevelopmental psychology

Abstract

fetched live from OpenAlex

A 17-month-old previously healthy child presented with a 2-day history of inability to fully open his eyes and slight gait ataxia. In the month preceding admission, he had had low grade, intermittent fevers, followed by a nonproductive cough and sneezing. During hospital admission he lost deep tendon reflexes and was unable to walk. Lumbar puncture revealed abnormally high protein, and a nasopharyngeal specimen was positive for influenza A (pH1N1). He received intravenous immunoglobulin and oseltamivir with clinical improvement. Although it is difficult to ascertain whether pH1N1 or another microorganism was responsible for this toddler's neurologic syndrome, this is the first reported case of Miller Fisher syndrome associated with pH1N1. During pandemics, one may expect to see an increased incidence of uncommon neurologic complications of influenza.

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)0.003
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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