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Record W2414562828 · doi:10.1017/cbo9780511921001.024

Action myoclonus–renal failure syndrome

2011· book-chapter· en· W2414562828 on OpenAlexaff
Eva Andermann

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMyoclonusElectroencephalographyMedicineIctalEtiologyIdiopathic generalized epilepsyNeuroscienceEpilepsyEpilepsy syndromesMyoclonic epilepsyMyoclonic JerkJuvenile myoclonic epilepsyPediatricsPsychologyPathology

Abstract

fetched live from OpenAlex

Idiopathic generalized epilepsies (IGEs) are the commonest group of epilepsies in children and adolescents. IGE syndromes are defined by distinct age at onset, seizure types, and characteristic electroencephalogram (EEG) abnormalities, without structural brain lesions and with normal developmental skills. The EEG shows normal background activity; focal interictal EEG abnormalities, occasionally reported, are not a consistent feature of benign myoclonic epilepsy of infancy (BMEI). Myoclonic-astatic epilepsy epitomizes a spectrum of IGEs with prominent myoclonic seizures, appearing in previously healthy children. Absence epilepsies and more broadly IGEs can sometimes cooccur with paroxysmal movement disorders. The IGEs have a predominant genetic etiology and current data are in favor of a complex model of inheritance with the interaction of two or more genes. Subtle developmental abnormalities of brain architecture are described in patients with IGE. New-generation antiepileptic drugs have been proven to be useful in the treatment of pharmacoresistant IGEs.

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.033
GPT teacher head0.214
Teacher spread0.181 · 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
GenreOther

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

Citations7
Published2011
Admission routes1
Has abstractyes

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