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Record W4376649520 · doi:10.1016/j.ajhg.2023.04.008

The clinical and molecular spectrum of the KDM6B-related neurodevelopmental disorder

2023· article· en· W4376649520 on OpenAlexafffund
Dmitrijs Rots, Taryn E. Jakub, Crystal Keung, Adam Jackson, Siddharth Banka, Rolph Pfundt, Bert B.A. de Vries, Richard H. van Jaarsveld, Saskia Hopman, Ellen van Binsbergen, Irene Valenzuela, Maja Hempel, Tatjana Bierhals, Fanny Kortüm, François Lecoquierre, Alice Goldenberg, Jens Michael Hertz, Charlotte Brasch Andersen, Maria Kibæk, Eloise J. Prijoles, Roger E. Stevenson, David B. Everman, Wesley G Patterson, Linyan Meng, Charul Gijavanekar, Karl De Dios, Shenela Lakhani, Tess Levy, Matias Wagner, Dagmar Wieczorek, Paul J. Benke, María Soledad Lopez Garcia, Renée Perrier, Sérgio B. Sousa, Pedro Almeida, Maria José Simões, Bertrand Isidor, Wallid Deb, Andrew A. Schmanski, Omar Abdul‐Rahman, Christophe Philippe, Ange‐Line Bruel, Laurence Faivre, Antonio Vitobello, Christel Thauvin, Jeroen J. Smits, Livia Garavelli, Stefano Giuseppe Caraffi, Francesca Peluso, Laura Davis‐Keppen, Dylan Platt, Erin Royer, Lisette Leeuwen, Margje Sinnema, Alexander P.A. Stegmann, Constance T. R. M. Stumpel, George E. Tiller, Daniëlle G.M. Bosch, Stephanus T. Potgieter, Shelagh Joss, Miranda Splitt, Simon Holden, Matina Prapa, Nicola Foulds, Sofia Douzgou, Kaija Puura, Regina Waltes, Andreas G. Chiocchetti, Christine M. Freitag, F. Kyle Satterstrom, Silvia De Rubeis, Joseph D. Buxbaum, Bruce D. Gelb, Branko Aleksić, Itaru Kushima, Jennifer Howe, Stephen W. Scherer, Alessia Arado, Chiara Baldo, Olivier Patat, Demeer Bénédicte, Diego Lopergolo, Filippo M. Santorelli, Tobias B. Haack, Andreas Dufke, Miriam Bertrand, Ruth Falb, Angelika Rieß, Peter Krieg, Stephanie Spranger, Maria Francesca Bedeschi, Maria Iascone, Sarah Josephi‐Taylor, Tony Roscioli, Michael F. Buckley, Jan Liebelt, Aditi I Dagli, Emmelien Aten, Anna Hurst, Alesha Hicks, Mohnish Suri, Ermal Aliu, Sunil Naik, Richard Sidlow, Juliette Coursimault, Gaël Nicolas, Hanna Küpper, Florence Petit, Veyan Ibrahim, Deniz Top, Francesca Di Cara, Raymond J. Louie, Elliot Stolerman, Han G. Brunner, Lisenka E.L.M. Vissers, Jamie M. Kramer, Tjitske Kleefstra

Bibliographic record

VenueThe American Journal of Human Genetics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsSickKids FoundationDalhousie UniversityUniversity of TorontoAlberta Children's HospitalUniversity of CalgaryHospital for Sick Children
FundersNatural Sciences and Engineering Research Council of CanadaAutism SpeaksKing Abdulaziz UniversityHospital for Sick ChildrenNederlandse Organisatie voor Wetenschappelijk OnderzoekZonMwCanadian Institutes of Health ResearchNational Institute for Health and Care Research
KeywordsAutism spectrum disorderSpectrum (functional analysis)Neurodevelopmental disorderMedicinePsychologyPsychiatryPhysics

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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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

Citations31
Published2023
Admission routes2
Has abstractno

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