MétaCan
Menu
Back to cohort
Record W2531490027 · doi:10.1684/epd.2016.0862

Post‐modern therapeutic approaches for progressive myoclonus epilepsy

2016· review· en· W2531490027 on OpenAlex
Berge A. Minassian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpileptic Disorders · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsHospital for Sick Children
FundersNational Institute of Neurological Disorders and Stroke
KeywordsNeuroscienceEpilepsyDiseaseNeurologyMedicineIntensive care medicinePsychologyPathology

Abstract

fetched live from OpenAlex

While the PME are arguably the severest epilepsies and neurological disorders, the vast majority are monogenic. Additionally, many affect straightforward biochemical pathways. Finally, by definition, they occur in previously healthy and well-developed brains. As such, their therapies should be easier than in complex, albeit often less severe, neurological developmental disorders where the complex, poorly understood, and extremely difficult-to-correct, neural network of the brain is affected. This last article reviews the latest cutting edge technologies in monogenic disease therapy, with some examples provided applicable to a number of disease. It aims to give a sense of where we are and how much closer we are, to the goal of making an actual organic difference.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.034
GPT teacher head0.289
Teacher spread0.255 · 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