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Record W4300981046 · doi:10.1038/s41591-022-02070-0

Publisher Correction: Pepinemab antibody blockade of SEMA4D in early Huntington’s disease: a randomized, placebo-controlled, phase 2 trial

2022· erratum· en· W4300981046 on OpenAlexaff
Andrew Feigin, Elizabeth E. Evans, Terrence L. Fisher, John E. Leonard, Ernest Smith, Alisha Reader, Vikas Mishra, Richard Manber, Kimberly A. Walters, Lisa Kowarski, David Oakes, Eric Siemers, Karl Kieburtz, Maurice Zauderer, Elise Kayson, Jody Goldstein, Richard L. Barbano, Karen Marder, Praveen Dayalu, H. Diana Rosas, Sandra K. Kostyk, John Kamholz, Brad A. Racette, Jee Bang, Daniel O. Claassen, Katherine E. McDonell, Stewart A. Factor, Francis O. Walker, Clarisse Goas, Joanne Wojcieszek, Lynn A. Raymond, Jody Corey‐Bloom, Victor Sung, Marissa Dean, Michael Geshwind, Alexandra Nelson, Samuel Frank, Kathrin LaFaver, Andrew P. Duker, Lawrence Elmer, Ali Samii, Yi‐Han Lin, Sylvain Chouinard, Lauren Seeberger, B.L. Scott, James Boyd, Nikolaus R. McFarland, Erin Furr Stimming, Oksana Suchowersky, Claudia Testa, Karen S. Anderson

Bibliographic record

VenueNature Medicine · 2022
Typeerratum
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsUniversity of AlbertaCentre Hospitalier de l’Université de MontréalUniversity of British Columbia
Fundersnot available
KeywordsBlockadePlaceboAntibodyMedicineHuntington's diseaseRandomized controlled trialInternal medicineDiseasePharmacologyOncologyImmunologyPathologyReceptor

Abstract

fetched live from OpenAlex

In the version of this article initially published, in the first and final paragraphs of the Results section, the dosing schedule for pepinemab administration was described in error as “four times per week” instead of “every four weeks,” while in the Fig. 4b color key, the bottom, dark green key now reading “Much improved” appeared originally as “Minimally improved.” The errors have been corrected in the HTML and PDF versions of the article.

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)0.007
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.054
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0030.001
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0420.016

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 head0.013
GPT teacher head0.316
Teacher spread0.304 · 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 designRandomized trial
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
Published2022
Admission routes1
Has abstractno

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