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Record W65822443 · doi:10.1017/s031716710001773x

Rigidity and HyperCKemia as Presenting Signs of Hashimoto's Encephalopathy

2013· letter· en· W65822443 on OpenAlexvenueno aff
Bojan Rugole

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2013
Typeletter
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEncephalopathyPsychologyMedicineAudiologyPsychiatry

Abstract

fetched live from OpenAlex

Hashimoto's encephalopathy (He) is a rare and poorly understood syndrome affecting the central nervous system.Because of association with Hashimoto's thyroiditis and high serum antithyroid antibody titers, it is a disease of presumably autoimmune origin. 1 The exact nature of the immune response in He is still unclear.The clinical picture may include cognitive impairment, psychiatric manifestations, impairment of consciousness, seizures, myoclonus, tremor, and stroke-like episodes.2 It is generally accepted that the syndrome is recognized when the following conditions are met: encephalopathy manifesting as cognitive dysfunction, impairment of consciousness, seizure, or neuropsychiatric disorder; elevated serum levels of antithyroid antibodies; good response to glucocorticoid treatment; exclusion of infectious, vascular, metabolic, toxic, or neoplastic etiologies.3 In the case presented, a patient presented initially with acute progressive rigidity and hyperCKemia but was ultimately diagnosed with He.

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)0.005
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 score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0050.002

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 head0.039
GPT teacher head0.273
Teacher spread0.234 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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