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Record W4376605782 · doi:10.1093/brain/awad153

The emerging spectrum of fetal acetylcholine receptor antibody-related disorders (FARAD)

2023· article· en· W4376605782 on OpenAlexaff
Nicholas M. Allen, Mark O’Rahelly, B. Eymard, Mondher Chouchane, Andreas Hahn, Gerry Kearns, Dae‐Seong Kim, Shin Yun Byun, Cam‐Tu Émilie Nguyen, Ulrike Schara‐Schmidt, Heike Kölbel, Adela Della Marina, Christiane Schneider‐Gold, Kathryn Roefke, Andrea Thieme, Peter Van den Bergh, G Avalos, Rodrigo Álvarez‐Velasco, Daniel Natera‐de Benito, Man Hin Mark Cheng, Wing Ki Chan, Hoi Shan Wan, Mary Ann Thomas, Lauren Borch, Julie Lauzon, Cornelia Kornblum, Jens Reimann, Andreas Müller, Thierry Küntzer, Fiona Norwood, Sithara Ramdas, Leslie Jacobson, Xiaobo Jie, Miguel Ángel Fernández-García, Elizabeth Wraige, Ming Lim, Jean‐Pierre Lin, Selma Aktaş, Maryam Oskoui, Yael Hacohen, A. Zaki Masud, Maria Isabel Leite, Jacqueline Palace, Darryl C. De Vivo, Angela Vincent, Heinz Jungbluth

Bibliographic record

VenueBrain · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcGill University Health CentreMcGill UniversityUniversity of CalgaryUniversité de MontréalAlberta Children's HospitalCentre Hospitalier Universitaire Sainte-Justine
FundersInstituto de Salud Carlos IIIMyotubular TrustAction Medical ResearchRYR-1 Foundation
KeywordsMedicineMyasthenia gravisArthrogryposis multiplex congenitaArthrogryposisWeaknessAcetylcholine receptorInternal medicineFetusNeuromuscular junctionPregnancySurgeryReceptorBiology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.324
Teacher spread0.312 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations33
Published2023
Admission routes1
Has abstractyes

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