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Record W4400279776 · doi:10.1038/s41591-024-03156-7

Author Correction: IL-6 inhibition with clazakizumab in patients receiving maintenance dialysis: a randomized phase 2b trial

2024· erratum· en· W4400279776 on OpenAlexaff
Glenn M. Chertow, Anna Marie Chang, G. Michael Felker, Mark Heise, Elena Velkoska, Bengt Fellström, David M. Charytan, Regina Clementi, C. Michael Gibson, Shaun G. Goodman, Meg Jardine, Adeera Levin, Yuliya Lokhnygina, Jenny Mears, Roxana Mehran, Peter Stenvinkel, Angela Yee‐Moon Wang, David C. Wheeler, Carmine Zoccali, Paul M. Ridker, Kenneth W. Mahaffey, Pierluigi Tricoci, Myles Wolf

Bibliographic record

VenueNature Medicine · 2024
Typeerratum
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsRandomized controlled trialDialysisMedicinePhase (matter)Internal medicineIntensive care medicineChemistry

Abstract

fetched live from OpenAlex

In the version of the article initially published, Angela Yee-Moon Wang’s name appeared incorrectly (as Angela Wang) and has now been amended 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)0.009
metaresearch head score (Gemma)0.086
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 score0.052
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.086
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0520.017

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 head0.091
GPT teacher head0.404
Teacher spread0.313 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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