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Record W4385827401 · doi:10.1007/s12311-023-01589-3

Correction to: MR Imaging in Ataxias: Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers

2023· erratum· en· W4385827401 on OpenAlexaff
Gülin Öz, Sirio Cocozza, Pierre‐Gilles Henry, Christophe Lenglet, Andreas Deistung, Jennifer Faber, Adam J. Schwarz, Dagmar Timmann, Koene R. A. Van Dijk, Ian H. Harding, Astrid D. Adarmes-Gómez, Andreas Thieme, Kathrin Reetz, Marcin Rylski, Thiago Junqueira Ribeiro de Rezende, Vincenzo A. Gennarino, Eva‐Maria Ratai, Caterina Mariotti, Anna Nigri, Lorenzo Nanetti, Martina Minnerop, Sylvia Boesch, Elisabetta Indelicato, Chiara Pinardi, Kirsi M. Kinnunen, Niccolò Fuin, Alexander Gussew, Cherie L. Marvel, James M. Joers

Bibliographic record

VenueThe Cerebellum · 2023
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsNeurologyAtaxiaMedicineConsensus conferenceMedical physicsPsychologyPhysical medicine and rehabilitationNeuroscienceInternal medicine

Abstract

fetched live from OpenAlex

Correction to: The Cerebellum https://doi.org/10.1007/s12311-023-01572-y The original version of this article unfortunately missed properly capturing the list of collaborating authors in PubMed. The original article and PubMed listing have been corrected.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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