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Record W4400031825 · doi:10.1097/wno.0000000000002200

Bickerstaff Brainstem Encephalitis With Exceptionally Fast Recovery

2024· article· en· W4400031825 on OpenAlexaffabout
Armin Handzic, Edward Margolin

Bibliographic record

VenueJournal of Neuro-Ophthalmology · 2024
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLibrary scienceSuiteWeb siteMedicineOptometryGeographyThe InternetArchaeologyWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Department of Ophthalmology and Vision Sciences (AH, EM), Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; and Department of Medicine (EM), Division of Neurology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. Address correspondence to Edward Margolin, MD, FRCSC, Department of Ophthalmology and Vision Sciences and Department of Medicine, Division of Neurology, University of Toronto, 801 Eglinton Avenue West, Suite 301, Toronto, Ontario M5N 1E3, Canada; E-mail: [email protected] The authors report no conflicts of interest. Videos are available in the full-text version of the article on the journal's Web site (http://www.jneuro-ophthalmology.com/).

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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.004
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 head0.020
GPT teacher head0.276
Teacher spread0.257 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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