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Record W4405529739 · doi:10.1186/s13024-024-00791-z

Correction: The Parkinson’s disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons

2024· erratum· en· W4405529739 on OpenAlexaff
Jace Jones-Tabah, Kathy He, Nathan Karpilovsky, Konstantin Senkevich, Ghislaine Deyab, Isabella Pietrantonio, Thomas Goiran, Yuting Cousineau, Daria Nikanorova, Taylor Goldsmith, Esther del Cid‐Pellitero, Carol X.‐Q. Chen, Wen Luo, Zhipeng You, Narges Abdian, Jamil Ahmad, Jennifer A. Ruskey, Farnaz Asayesh, Dan Spiegelman, Stanley Fahn, Cheryl Waters, Oury Monchi, Yves Dauvilliers, Nicolas Dupré, Irina Miliukhina, Alla Timofeeva, Anton Emelyanov, Sofya Pchelina, Lior Greenbaum, Sharon Hassin‐Baer, Roy N. Alcalay, Austen J. Milnerwood, Thomas M. Durcan, Ziv Gan‐Or, Edward A. Fon

Bibliographic record

VenueMolecular Neurodegeneration · 2024
Typeerratum
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de MontréalMcGill UniversityUniversité LavalMontreal Neurological Institute and Hospital
FundersTel Aviv University
KeywordsGlucocerebrosidaseAlpha-synucleinDopaminergicParkinson's diseaseSynucleinopathiesNeuroscienceMedicineCathepsin DDiseaseFunction (biology)BioinformaticsBiologyDopamineCell biologyInternal medicineBiochemistryEnzyme

Abstract

fetched live from OpenAlex

International audience

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)0.029
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0520.025

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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
GenreOther

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

Citations3
Published2024
Admission routes1
Has abstractyes

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