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Record W2167728216 · doi:10.1586/ern.10.98

Update on emerging therapies for multiple sclerosis

2010· article· en· W2167728216 on OpenAlexaffabout
Eppie M. Yiu, Brenda Banwell

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMultiple sclerosisNeurologyMedicineNeuroscienceDiseaseDementiaPsychiatryPsychologyPathology

Abstract

fetched live from OpenAlex

The American Academy of Neurology is an international professional organization of more than 22,000 neurologists and neuroscience professionals. This year the annual meeting was held in Toronto, ON, Canada. A large number of scientific sessions presented numerous advances in the diagnosis, molecular pathogenesis and treatment of Alzheimer's disease and dementia, cerebrovascular and neuromuscular disorders, as well as the rapidly changing areas of genetic testing and stem cell research. This meeting report focuses on the latest therapies in the treatment of multiple sclerosis (MS).

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.004

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 head0.100
GPT teacher head0.336
Teacher spread0.237 · 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 designNot applicable
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

Citations5
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueExpert Review of NeurotherapeuticsSame topicNeurogenesis and neuroplasticity mechanismsFrench-language works237,207