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Record W2550033698 · doi:10.1111/epi.13621

WONOEP appraisal: Imaging biomarkers in epilepsy

2016· review· en· W2550033698 on OpenAlexafffund
Erwin A. van Vliet, Stefanie Dedeurwaerdere, Andrew J. Cole, Alon Friedman, Matthias J. Koepp, Heidrun Potschka, Riikka Immonen, Asla Pitkänen, Paolo Federico

Bibliographic record

VenueEpilepsia · 2016
Typereview
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsHotchkiss Brain InstituteUniversity of CalgaryDalhousie University
FundersSeventh Framework ProgrammeCanadian Institutes of Health ResearchBijzonder Onderzoeksfonds UGentUniversiteit AntwerpenAstellas PharmaAcademy of FinlandMeiji Seika PharmaDeutsche ForschungsgemeinschaftVlaamse regeringMeso Scale DiagnosticsEuropean CommissionFonds Wetenschappelijk OnderzoekHorizon 2020Queen Elisabeth Medical FoundationEpilepsy Foundation
KeywordsEpileptogenesisEpilepsyNeuroimagingNeuroscienceBiomarkerMedicinePsychologyBiology

Abstract

fetched live from OpenAlex

Neuroimaging offers a wide range of opportunities to obtain information about neuronal activity, brain inflammation, blood-brain barrier alterations, and various molecular alterations during epileptogenesis or for the prediction of pharmacoresponsiveness as well as postoperative outcome. Imaging biomarkers were examined during the XIII Workshop on Neurobiology of Epilepsy (XIII WONOEP) organized in 2015 by the Neurobiology Commission of the International League Against Epilepsy (ILAE). Here we present an extended summary of the discussed issues and provide an overview of the current state of knowledge regarding the biomarker potential of different neuroimaging approaches for epilepsy.

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)0.001
metaresearch head score (Gemma)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.043
GPT teacher head0.398
Teacher spread0.355 · 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 designOther design
Domainnot available
GenreReview

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

Citations30
Published2016
Admission routes2
Has abstractyes

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