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Record W2995477239 · doi:10.1055/a-0952-6908

Genetische Ursachen von Epilepsien

2019· article· de· W2995477239 on OpenAlexaff
Stefan Wolking, Holger Lerche

Bibliographic record

VenueNervenheilkunde · 2019
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

ZUSAMMENFASSUNG Die Erkenntnisse über genetische Ursachen von Epilepsien haben in den vergangenen Jahren rasant zugenommen. Neben epileptischen Enzephalopathien stehen mittlerweile die genetischen generalisierten sowie die nicht läsionellen fokalen Epilepsien stärker im Fokus. An die genetische Ursache angepasste Behandlungswege im Sinne der ‚Precision Medicine‘ eröffnen zunehmend individualisierte Therapieoptionen. Die Pharmakogenetik könnte zudem die Vorhersage von Therapieansprechen bzw. Nebenwirkungen unterstützen und somit die Therapiesicherheit erhöhen. Genetische Diagnostik ist für eine zunehmende Anzahl von Epilepsiepatienten sinnvoll und wird weiter an Bedeutung zunehmen.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.006

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 head0.228
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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