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Record W2901408775 · doi:10.15252/embj.2018100540

Loss of tubulin deglutamylase CCP1 causes infantile‐onset neurodegeneration

2018· article· en· W2901408775 on OpenAlexaff
Vandana Shashi, Maria M. Magiera, Dennis Klein, Maha S. Zaki, Kelly Schoch, Sabine Rudnik‐Schöneborn, Andrew Norman, Osório Lopes Abath Neto, Marina Dusl, Xidi Yuan, Luca Bartesaghi, Patrizia De Marco, Ahmed Alfares, Ronit Marom, Stefan T. Arold, Francisco J. Guzmán‐Vega, Loren Peña, Edward C. Smith, Maja Steinlin, Mohamed OE Babiker, Payam Mohassel, A. Reghan Foley, Sandra Donkervoort, Rupleen Kaur, Partha S. Ghosh, Valentina Stanley, Damir Musaev, Caroline Nava, Cyril Mignot, Boris Keren, Marcello Scala, Elisa Tassano, Paolo Picco, Paola Doneda, Chiara Fiorillo, Mahmoud Y. Issa, Ali H. Alassiri, Ahmed Alahmad, Amanda Gerard, Pengfei Liu, Yaping Yang, Birgit Ertl‐Wagner, Peter G. Kranz, Ingrid M. Wentzensen, Rolf Stucka, Nicholas Stong, Andrew S. Allen, David B. Goldstein, Benedikt Schoser, Kai M. Rösler, Majid Alfadhel, Valeria Capra, Roman Chrast, Tim M. Strom, Erik‐Jan Kamsteeg, Carsten G. Bönnemann, Joseph G. Gleeson, Rudolf Martini, Carsten Janke, Jan Senderek

Bibliographic record

VenueThe EMBO Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNIH Clinical CenterKing Abdullah University of Science and TechnologyFritz Thyssen StiftungNational Institute of Neurological Disorders and StrokeBundesministerium für Bildung und ForschungFondation Vaincre AlzheimerCommon FundInstitut National Du CancerYale UniversityNational Human Genome Research InstituteAgence Nationale de la RechercheFriedrich-Baur-StiftungEuropean Molecular Biology OrganizationNational Institutes of HealthInstitut CurieOsteogenesis Imperfecta Foundation
KeywordsLibrary scienceMedical geneticsMedicineGerontologyBiologyGenetics

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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 designBench or experimental
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

Citations127
Published2018
Admission routes1
Has abstractno

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