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Record W1987217465 · doi:10.1016/j.ajhg.2015.01.003

De Novo Mutations in NALCN Cause a Syndrome Characterized by Congenital Contractures of the Limbs and Face, Hypotonia, and Developmental Delay

2015· article· en· W1987217465 on OpenAlexaff
Jessica X. Chong, Margaret J. McMillin, Kathryn M. Shively, Anita E. Beck, Colby T. Marvin, Jose R. Armenteros, Kati J. Buckingham, Naomi T. Nkinsi, Evan A. Boyle, Margaret N. Berry, Maureen Bocian, Nicola Foulds, Maria Luisa Giovannucci Uzielli, Chad Haldeman‐Englert, Raoul C.M. Hennekam, Paige Kaplan, Antonie D. Kline, Catherine L. Mercer, Małgorzata J.M. Nowaczyk, Jolien S. Klein Wassink‐Ruiter, Elizabeth W. McPherson, Regina A. Moreno, Angela E. Scheuerle, Vandana Shashi, Cathy A. Stevens, John C. Carey, Arnaud Monteil, Philippe Lory, Holly K. Tabor, Joshua D. Smith, Jay Shendure, Deborah A. Nickerson, Michael J. Bamshad, Michael J. Bamshad, Gonçalo R. Abecasis, Peter Anderson, Elizabeth Blue, Marcus Annable, Brian L. Browning, Christina Chen, Jennifer Chin, Gregory M. Cooper, Colleen Davis, Christopher Frazar, Tanya M. Harrell, Zongxiao He, Preti Jain, Gail P. Jarvik, Guillaume Jimenez, Eric Johanson, Goo Jun, Martin Kircher, Tom Kolar, Stephanie Krauter, Niklas Krumm, Suzanne M. Leal, Daniel Luksic, Sean McGee, Patrick O’Reilly, Bryan Paeper, Karynne Patterson, M. Lázaro Pérez, Sam W. Phillips, Jessica Pijoan, Christa Poel, Frédéric Reinier, Peggy D. Robertson, Regie Lyn P. Santos‐Cortez, Tristan Shaffer, Cindy Shephard, Deborah L. Siegel, Jeffrey Staples, Monica Tackett, Jason G. Underwood, Marc Wegener, Gao Wang, Marsha M. Wheeler, Yi Qian

Bibliographic record

VenueThe American Journal of Human Genetics · 2015
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcMaster University
FundersNational Human Genome Research InstituteNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUniversity of Washington
KeywordsHypotoniaMissense mutationBiologyArthrogryposisExome sequencingGeneticsMuscle contractureAnatomyMutation

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.299
Teacher spread0.275 · 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

Citations157
Published2015
Admission routes1
Has abstractno

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