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Record W3174213828 · doi:10.1038/s41588-021-00886-z

Pathogenic SPTBN1 variants cause an autosomal dominant neurodevelopmental syndrome

2021· article· en· W3174213828 on OpenAlexaff
Margot A. Cousin, Blake A. Creighton, Keith A. Breau, Rebecca C. Spillmann, Erin Torti, Sruthi Dontu, Swarnendu Tripathi, Deepa Ajit, Reginald J. Edwards, Simone Afriyie, Julia Bay, Kathryn M. Harper, Alvaro A. Beltran, Lorena J. Munoz, Liset Falcon Rodriguez, Michael C. Stankewich, Richard Person, Yue Si, Elizabeth A. Normand, Amy Blevins, Alison S. May, Louise Bier, Vimla S. Aggarwal, Grazia M.S. Mancini, Marjon A. van Slegtenhorst, Kirsten Cremer, Jessica Becker, Hartmut Engels, Stefan Aretz, Jennifer MacKenzie, Eva H. Brilstra, Koen L.I. van Gassen, Richard H. van Jaarsveld, Renske Oegema, Gretchen Parsons, Paul R. Mark, Ingo Helbig, Sarah McKeown, Robert F. Stratton, Benjamin Cogné, Bertrand Isidor, Pilar Cacheiro, Damian Smedley, Helen V. Firth, Tatjana Bierhals, Katja Kloth, Deike Weiss, Cecilia Fairley, Joseph T.C. Shieh, Amy Kritzer, Parul Jayakar, Evangeline C. Kurtz‐Nelson, Raphael Bernier, Tianyun Wang, Evan E. Eichler, Ingrid M.B.H. van de Laar, Allyn McConkie‐Rosell, Marie McDonald, Jennifer L. Kemppainen, Brendan C. Lanpher, Laura Schultz‐Rogers, Lauren Gunderson, Pavel N. Pichurin, Grace Yoon, Michael Zech, Robert Jech, Juliane Winkelmann, Adriana S. Beltrán, Michael T. Zimmermann, Brenda Temple, Sheryl S. Moy, Eric W. Klee, Queenie K-G Tan, Damaris N. Lorenzo

Bibliographic record

VenueNature Genetics · 2021
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoMcMaster University
FundersCommon FundNational Cancer InstituteNational Institute of Mental HealthHoward Hughes Medical InstituteMedical Research CouncilIntellectual and Developmental Disabilities Research CenterDepartment of Health and Social CareNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUniversity of North Carolina at Chapel HillNational Ataxia FoundationNational Institutes of HealthU.S. Department of Health and Human ServicesCancer Research UKNational Human Genome Research InstituteWellcome Trust
KeywordsSpectrinBiologyHypotoniaHaploinsufficiencyPhenotypeNeurodevelopmental disorderGeneticsNeuroscienceMutationGeneCytoskeleton

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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

Citations108
Published2021
Admission routes1
Has abstractno

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