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Record W4206631174 · doi:10.21203/rs.3.rs-1188941/v1

Differential Impairment of Cerebrospinal Fluid Synaptic Biomarkers in the Genetic Forms of Frontotemporal Dementia

2022· preprint· en· W4206631174 on OpenAlexafffund
Aitana Sogorb‐Esteve, Johanna Nilsson, Imogen J. Swift, Carolin Heller, Lucy L. Russell, Georgia Peakman, Rhian S. Convery, John C. van Swieten, Harro Seelaar, Barbara Borroni, Daniela Galimberti, Raquel Sánchez‐Valle, Robert Laforce, Fermín Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Rik Vanderberghe, Elisabeth Finger, Fabrizio Tagliavini, Isabel Santana, Christopher Butler, Simon Ducharmer, Alexander Gerhard, Adrian Danek, Johannes Levin, Markus Otto, Sandro Sorbi, Isabelle Le Ber, Florence Paquier, Johan Gobom, Ann Brinkmalm, Kaj Blennow, Henrik Zetterberg, Jonathan D. Rohrer

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMcGill UniversityWestern UniversityUniversity of TorontoUniversité Laval
FundersSahlgrenska AkademinMedical Research CouncilNIHR Cambridge Biomedical Research CentreTau ConsortiumOlav Thon StiftelsenSorbonne UniversitéUK Dementia Research InstituteStichting DioraphteUniversität UlmUniversität Duisburg-EssenGöteborgs UniversitetDeutsches Zentrum für Neurodegenerative ErkrankungenFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaEU Joint Programme – Neurodegenerative Disease ResearchUniversità degli Studi di FirenzeVetenskapsrådetCambridge University HospitalsStockholms Läns LandstingKU LeuvenUniversidade de CoimbraImperial College LondonUniversity of TorontoNederlandse Organisatie voor Wetenschappelijk OnderzoekAlzheimer NederlandEberhard Karls Universität TübingenHjärnfondenSahlgrenska UniversitetssjukhusetUniversity of OxfordZonMwUniversity of CambridgeBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchNational Brain AppealWeston Brain InstituteAlzheimer's Drug Discovery FoundationBrain Research UKFamiljen Erling-Perssons StiftelseSunnybrook Research InstituteEuropean CommissionUniversité de LilleInstitut National de la Santé et de la Recherche MédicaleMinistero della SaluteCanadian Institutes of Health ResearchAlzheimer's SocietyWellcome TrustAlzheimer's AssociationStiftelsen för Gamla TjänarinnorCentro de Investigación Biomédica en Red sobre Enfermedades NeurodegenerativasCentre National de la Recherche ScientifiqueWolfson FoundationMcGill University
KeywordsFrontotemporal dementiaCerebrospinal fluidNeuroscienceDementiaMedicineDifferential diagnosisPathologyPsychologyDisease

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.411
Teacher spread0.321 · 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
Published2022
Admission routes2
Has abstractyes

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