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Record W3195009902 · doi:10.1136/jnnp-2021-327005

Practice effects in genetic frontotemporal dementia and at-risk individuals: a GENFI study

2021· letter· en· W3195009902 on OpenAlexafffund
Linn Öijerstedt, Christin Andersson, Vesna Jelić, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Barbara Borroni, Raquel Sánchez‐Valle, Fermín Moreno, Robert Laforce, Matthis Synofzik, Daniela Galimberti, James B. Rowe, Mario Masellis, Maria Carmela Tartaglia, Elizabeth Finger, Rik Vandenberghe, Alexandre de Mendonça, Fabrizio Tagliavini, Isabel Santana, Simon Ducharme, Christopher Butler, Alexander Gerhard, Johannes Levin, Adrian Danek, Giovanni B. Frisoni, Roberta Ghidoni, Sandro Sorbi, Jonathan D. Rohrer, Caroline Graff

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2021
Typeletter
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsWestern UniversityMontreal Neurological Institute and HospitalUniversity of TorontoOccupational Cancer Research CentreHealth Sciences CentreUniversité LavalMcGill University Health CentreSunnybrook Health Science CentreUniversité du Québec à Montréal
FundersRobarts Research InstituteMedical Research CouncilDemensfondenStichting DioraphteUniversità degli Studi di BresciaUniversidade de LisboaDeutsches Zentrum für Neurodegenerative ErkrankungenUniversità degli Studi di FirenzeStockholms Läns LandstingKU LeuvenUniversity Health NetworkRoyal Swedish Academy of SciencesHjärnfondenInstitute on the Environment, University of MinnesotaNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversität UlmToronto Rehabilitation InstituteUniversidade de CoimbraUniversity of TorontoErasmus Medisch CentrumUniversity of OxfordFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoEberhard Karls Universität TübingenKing's College LondonBrain Research UKLudwig-Maximilians-Universität MünchenNational Institute for Health and Care ResearchZonMwKarolinska InstitutetEU Joint Programme – Neurodegenerative Disease ResearchSunnybrook Research InstituteUniversità degli Studi di MilanoMcGill UniversityFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaStiftelsen för Gamla TjänarinnorGun och Bertil Stohnes StiftelseLondon School of Hygiene and Tropical Medicine
KeywordsFrontotemporal dementiaDementiaPsychologyClinical psychologyMedicinePsychiatryDevelopmental psychologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Frontotemporal dementia (FTD) is a heterogeneous group of neurodegenerative diseases with an onset usually before the age of 65 years even if it can appear also in older ages. On cognitive tests, patients with FTD show deficits in executive functions, social cognition and language, whereas the initial performances in memory and visuoconstruction tasks usually are preserved. The general approach to detect cognitive decline in dementia is to repeat cognitive testing and observe changes over time. However, exposure to similar tasks could improve performance as the individual gets familiar with both the tasks themselves and the test setting (ie, practice effect or learning effect).

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 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)0.001
metaresearch head score (Gemma)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.298
Teacher spread0.284 · 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

Citations5
Published2021
Admission routes2
Has abstractyes

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