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Author Correction: Susceptible genes and disease mechanisms identified in frontotemporal dementia and frontotemporal dementia with Amyotrophic Lateral Sclerosis by DNA-methylation and GWAS
Erdogan Taskesen, Aniket Mishra, Sophie van der Sluis, Roberto Ferrari, Dena Hernandez, M. A. Nalls, J. D. Rohrer, Adaikalavan Ramasamy, John B. Kwok, Carol Dobson‐Stone, Peter R. Schofield, Glenda M. Halliday, J. R. Hodges, Olivier Piguet, Lauren Bartley, Emma E. Thompson, Eric Haan, Israel Alejandro Quijano-Hernández, Agustı́n Ruiz, Merçé Boada, Barbara Borroni, Alessandro Padovani, Carlos Cruchaga, N. J. Cairns, Luisa Benussi, Giuliano Binetti, Roberta Ghidoni, Gianluigi Forloni, Diego Albani, Daniela Galimberti, Chiara Fenoglio, María Serpente, Elio Scarpini, Jordi Clarimón, Alberto Lleó, Rafael Blesa, Maria Landqvist Waldö, Karin Nilsson, Christer Nilsson, I. R. A. Mackenzie, Ging‐Yuek Robin Hsiung, David Mann, Jordan Grafman, Christopher M. Morris, Johannes Attems, Timothy D. Griffiths, Ian G. McKeith, Alexandria Thomas, Pietro Pietrini, Edward D. Huey, Eric M. Wassermann, Atik Baborie, Evelyn Jaros, Mary C. Tierney, Pau Pástor, Cristina Razquín, Sara Ortega‐Cubero, Elena Alonso, Robert Perneczky, Janine Diehl‐Schmid, Panagiotis Alexopoulos, Andrea Kurz, Innocenzo Rainero, Elisa Rubino, Lorenzo Pinessi, Ekaterina Rogaeva, Peter St George‐Hyslop, Giacomina Rossi, Fabrizio Tagliavini, Giorgio Giaccone, James B. Rowe, Johannes C. M. Schlachetzki, James Uphill, J. Collinge, Simon Mead, Adrian Danek, Vivianna M. Van Deerlin, Murray Grossman, John Q. Trojanowski, Julie van der Zee, Christine Van Broeckhoven, Stefano F. Cappa, Isabelle Leber, Didier Hannequin, Véronique Golfier, Martine Vercelletto, Alexis Brice, Benedetta Nacmias, Sandro Sorbi, Silvia Bagnoli, Irene Piaceri, Jens Høiriis Nielsen, L. E. Hjermind, Markus J. Riemenschneider, Manuel Mayhaus, Bernd Ibach, Gilles Gasparoni, Sabrina Pichler, Wei Gu, Martin N. Rossor, Nick C. Fox, Jason D. Warren, Maria Grazia Spillantini, Huw R. Morris, Patrizia Rizzu, Peter Heutink, Julie S. Snowden, Sara Rollinson, Anna Richardson, Alexander Gerhard, Amalia C. Bruni, Raffaele Maletta, Francesca Frangipane, Chiara Cupidi, Livia Bernardi, Maria Anfossi, Maura Gallo, Maria Elena Conidi, Nicoletta Smirne, R. Rademakers, Matthew Baker, Dennis W. Dickson, N. R. Graff-Radford, R. Petersen, D. S. Knopman, Keith A. Josephs, BF Boeve, J. E. Parisi, William W. Seeley, Bruce L. Miller, Anna M. Karydas, Howard J. Rosen, John C. van Swieten, Elise G.P. Dopper, Harro Seelaar, Philip Scheltens, Giancarlo Logroscino, Rosa Capozzo, Valeria Novelli, Annibale Alessandro Puca, M. Franceschi, A. Postiglione, Graziella Milan, Paolo Sorrentino, Mark Kristiansen, Huei-Hsin Chiang, Caroline Graff, Florence Pasquier, Adeline Rollin, Vincent Deramecourt, Thibaud Lebouvier, Dimitrios Kapogiannis, Luigi Ferrucci, Stuart Pickering‐Brown, A. B. Singleton, John Hardy, Parastoo Momeni, Jan H. Veldink, Michael A. van Es, August B. Smit, Daniëlle Posthuma, Yolande A.L. Pijnenburg
Bibliographic record
VenueScientific Reports · 2018
Typeerratum
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of TorontoUniversity of AlbertaHealth Sciences CentreUniversity of British Columbia
FundersNational Institute of Neurological Disorders and StrokeNIHR Newcastle Biomedical Research CentreNational Health and Medical Research CouncilAustralian Research CouncilMedical Research CouncilNational Institutes of HealthStiftelsen Konsul Thure Carlssons MinneVlaamse regeringUniversity College London Hospitals NHS Foundation TrustMinistero dell’Istruzione, dell’Università e della RicercaFondation pour la Recherche sur AlzheimerAlzheimer's SocietyMinistero della SaluteFondazione CariploBelgian Federal Science Policy OfficeTexas Tech UniversityBundesministerium für Bildung und ForschungKing Faisal Specialist Hospital and Research CentreNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome TrustAgence Nationale de la RechercheKing's College LondonNational Institute on AgingNational Institute for Health and Care ResearchInstituut Born-BungeMetLife FoundationCanadian Institutes of Health ResearchFonds Wetenschappelijk OnderzoekNewcastle UniversityUniversiteit AntwerpenU.S. Department of Health and Human ServicesU.S. Department of DefenseAlzheimer's Research TrustFondation pour la Recherche Médicale
KeywordsFrontotemporal dementiaAmyotrophic lateral sclerosisDNA methylationGenome-wide association studyDementiaGeneDiseaseGeneticsMedicineNeuroscienceBiologyBioinformaticsPathologySingle-nucleotide polymorphismGene expression
Abstract
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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)0.006
metaresearch head score (Gemma)0.091
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.260
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.091 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.078 | 0.034 |
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 head0.023
GPT teacher head0.268
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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 designNot applicable
Domainnot available
GenreOther
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".
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Citations2
Published2018
Admission routes2
Has abstractyes