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Record W4400216817 · doi:10.1002/mds.29897

Research Priorities on the Role of α‐ <scp>Synuclein</scp> in Parkinson's Disease Pathogenesis

2024· review· en· W4400216817 on OpenAlexafffund
Jacqueline Burré, Robert H. Edwards, Glenda M. Halliday, Anthony E. Lang, Hilal A. Lashuel, Ronald Melki, Shigeo Murayama, Tiago F. Outeiro, Stella M. Papa, Leonidas Stefanis, Amanda L. Woerman, D. James Surmeier, Lorraine V. Kalia, Ryōsuke Takahashi

Bibliographic record

VenueMovement Disorders · 2024
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
FundersNational Institute on AgingParkinsonfondenNational Institutes of HealthIdorsia PharmaceuticalsHellenic Foundation for Research and InnovationGeneral Secretariat for Research and TechnologyUniversity of OxfordNational Health and Medical Research CouncilHorizon 2020 Framework ProgrammeNational Institute of Neurological Disorders and StrokeUniversity of CambridgeFORUM PharmaceuticalsBiogenPfizerParkinson CanadaAustralian GovernmentCanadian Institutes of Health ResearchEdmond J. Safra Philanthropic FoundationSunovionSun PharmaFondation Brain CanadaMichael J. Fox Foundation for Parkinson's ResearchJohns Hopkins UniversityTeva Pharmaceutical IndustriesEli Lilly and Company
KeywordsParkinson's diseaseDiseaseMovement disordersNeurosciencePathogenesisPolitical scienceMedicinePsychologyPathology

Abstract

fetched live from OpenAlex

Various forms of Parkinson's disease, including its common sporadic form, are characterized by prominent α-synuclein (αSyn) aggregation in affected brain regions. However, the role of αSyn in the pathogenesis and evolution of the disease remains unclear, despite vast research efforts of more than a quarter century. A better understanding of the role of αSyn, either primary or secondary, is critical for developing disease-modifying therapies. Previous attempts to hone this research have been challenged by experimental limitations, but recent technological advances may facilitate progress. The Scientific Issues Committee of the International Parkinson and Movement Disorder Society (MDS) charged a panel of experts in the field to discuss current scientific priorities and identify research strategies with potential for a breakthrough. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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 teacher head, not a consensus.

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

Citations26
Published2024
Admission routes2
Has abstractyes

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