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Record W3083426372 · doi:10.1016/j.ajhg.2020.08.013

Mutations of the Transcriptional Corepressor ZMYM2 Cause Syndromic Urinary Tract Malformations

2020· article· en· W3083426372 on OpenAlexaff
Dervla M. Connaughton, Rufeng Dai, Danielle Owen, Jonathan Marquez, Nina Mann, Adda L. Graham-Paquin, Makiko Nakayama, Étienne Coyaud, Estelle Laurent, Jonathan St‐Germain, Lot Snijders Blok, Arianna Vino, Verena Klämbt, Konstantin Deutsch, Chen‐Han Wilfred Wu, Caroline M. Kolvenbach, Franziska Kause, Isabel Ottlewski, Ronen Schneider, Thomas M. Kitzler, Amar J. Majmundar, Florian Buerger, Ana C. Onuchic-Whitford, Youying Mao, Amy Kolb, Daanya Salmanullah, Evan Chen, Amelie T. van der Ven, Jia Rao, Hadas Ityel, Steve Seltzsam, Johanna M. Rieke, Jing Chen, Asaf Vivante, Daw‐Yang Hwang, Stefan Kohl, Gabriel C. Dworschak, Tobias Hermle, Mariëlle Alders, Tobias Bartolomaeus, Stuart B. Bauer, Michelle A. Baum, Eva H. Brilstra, Thomas D. Challman, Jacob Zyskind, Carrie E. Costin, Katrina M. Dipple, Floor A.M. Duijkers, Marcia Ferguson, David Fitzpatrick, Roger Fick, Ian A. Glass, Peter J. Hulick, Antonie D. Kline, Ilona Krey, Selvin Kumar, Lu W, Elysa J. Marco, Ingrid M. Wentzensen, Heather C. Mefford, Konrad Platzer, Inna Povolotskaya, Juliann M. Savatt, Н. В. Щербакова, Prabha Senguttuvan, Audrey Squire, Deborah R. Stein, Isabelle Thiffault, V. Yu. Voinova, Michael J. Somers, Michael A. Ferguson, Avram Z. Traum, Ghaleb H. Daouk, Ankana Daga, Nancy Rodig, Paulien A. Terhal, Ellen van Binsbergen, Loai Eid, Velibor Tasić, Hila Milo Rasouly, Tze Yin Lim, Dina Ahram, Ali G. Gharavi, Heiko Reutter, Heidi L. Rehm, Daniel G. MacArthur, Monkol Lek, Kristen M. Laricchia, Richard P. Lifton, Hong Xu, Shrikant Mane, Simone Sanna‐Cherchi, Andrew D. Sharrocks, Brian Raught, Simon E. Fisher, Maxime Bouchard, Mustafa K. Khokha, Shirlee Shril, Friedhelm Hildebrandt

Bibliographic record

VenueThe American Journal of Human Genetics · 2020
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health NetworkMcGill University Health CentreLondon Health Sciences CentreWestern University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMedical Research CouncilNational Institute of General Medical SciencesNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsCorepressorUrinary systemMedicineGeneticsBiologyCancer researchRepressorInternal medicineGeneTranscription factor

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.820
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.302
Teacher spread0.256 · 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.

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

Citations51
Published2020
Admission routes1
Has abstractno

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