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A comprehensive screening of copy number variability in dementia with Lewy bodies
Célia Kun‐Rodrigues, Tatiana Orme, Susana Carmona, Dena Hernandez, Owen A. Ross, John D. Eicher, Claire E. Shepherd, Laura Parkkinen, Lee Darwent, Michael G. Heckman, Sonja W. Scholz, Juan C. Troncoso, Olga Pletnikova, Ted M. Dawson, Liana S. Rosenthal, Olaf Ansorge, Jordi Clarimón, Alberto Lleó, Estrella Morenas‐Rodríguez, Lorraine N. Clark, Lawrence S. Honig, Karen Marder, Afina W. Lemstra, Ekaterina Rogaeva, Peter St George‐Hyslop, Elisabet Londos, Henrik Zetterberg, Imelda Barber, Anne Braae, Kristelle Brown, Kevin Morgan, Claire Troakes, Safa Al‐Sarraj, Tammaryn Lashley, Janice L. Holton, Yaroslau Compta, Vivianna M. Van Deerlin, Geidy E. Serrano, Thomas G. Beach, Suzanne Lesage, Douglas Galasko, Eliezer Masliah, Isabel Santana, Mónica Díez-Fairén, Miquel Aguilar, Pentti J. Tienari, Liisa Myllykangas, Minna Oinas, Tamás Révész, Andrew J. Lees, Bradley F. Boeve, Ronald Petersen, Tanis J. Ferman, Valentina Escott‐Price, Caroline Graff, Nigel J. Cairns, John C. Morris, Stuart Pickering‐Brown, David Mann, Glenda M. Halliday, John Hardy, John Q. Trojanowski, Dennis W. Dickson, Andrew Singleton, David J. Stone, Rita Guerreiro, José Brás
Bibliographic record
VenueNeurobiology of Aging · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsOccupational Cancer Research CentreCanada Research ChairsUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeNational Cancer InstituteNational Human Genome Research InstituteNIHR Oxford Biomedical Research CentreNational Health and Medical Research CouncilNational Center for Advancing Translational SciencesMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of HealthJohns Hopkins UniversityFolkhälsanin TutkimussäätiöUniversity College London Hospitals NHS Foundation TrustSamfundet FolkhälsanUniversity of California, San DiegoHelene Morgan Babcock and Alfred Babcock Memorial Scholarship TrustUniversity of New South WalesParkinson's UKGeneralitat de CatalunyaNational Institute on AgingNational Institute for Health and Care ResearchAlzheimer's SocietyAlzheimer SocietyHelsingin ja Uudenmaan SairaanhoitopiiriCentres de Recerca de CatalunyaMichael J. Fox Foundation for Parkinson's ResearchNational Institute on Drug AbuseUniversity of PennsylvaniaLittle Family FoundationNeuroscience Research AustraliaConsortium canadien en neurodégénérescence associée au vieillissementParkinson's Disease FoundationAgence Nationale de la RechercheWellcome TrustKrembil FoundationAlzheimer's Disease Research Center, University of PittsburghU.S. Department of Health and Human Services
KeywordsDementia with Lewy bodiesCopy-number variationGenome-wide association studyGenotypingDiseaseDementiaLocus (genetics)Genetic associationGeneticsMedicineBiologyGenomeGeneSingle-nucleotide polymorphismGenotypePathology
Abstract
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 imitationNot 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 score0.480
Threshold uncertainty score0.328
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 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
Citations25
Published2018
Admission routes2
Has abstractno