MétaCan
Menu
Back to cohort
Record W3110657574 · doi:10.21203/rs.3.rs-63386/v1

Diagnostic value of plasma neurofilament light: A multicentre validation study

2020· preprint· en· W3110657574 on OpenAlex
Nicholas J. Ashton, Shorena Janelidze, Ahmad Al Khleifat, Antoine Leuzy, Emma van der Ende, Thomas K. Karikari, Andréa Lessa Benedet, Tharick A. Pascoal, Alberto Lleó, Lucilla Parnetti, Daniela Galimberti, Laura Bonanni, Andrea Pilotto, Alessandro Padovani, Jan Lycke, Lenka Novakova, Markus Axelsson, Latha Velayudhan, Gil D. Rabinovici, Bruce Miller, Carmine M. Pariante, Naghmeh Nikkheslat, Susan M. Resnick, Madhav Thambisetty, Michael Schöll, Gorka Fernández‐Eulate, Francisco J. Gil‐Bea, Adolfo López de Munaín, Ammar Al‐Chalabi, Pedro Rosa‐Neto, André Strydom, Per Svenningsson, Erik Stomrud, Alexander Santillo, Dag Aarsland, John C. van Swieten, Sebastian Palmqvist, Henrik Zetterberg, Kaj Blennow, Abdul Hye, Oskar Hansson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMontreal Neurological Institute and HospitalMcGill University
FundersMedical Research CouncilHorizon 2020 Framework ProgrammeKommunfullmäktige, Stockholms StadParkinsonfondenNational Institutes of HealthEconomic and Social Research CouncilSkånes universitetssjukhusKnut och Alice Wallenbergs StiftelseKing's College LondonLunds UniversitetMarcus och Amalia Wallenbergs minnesfondStiftelsen för Strategisk ForskningUK Dementia Research InstituteVetenskapsrådetAustralian GovernmentWellcome TrustMotor Neurone Disease AssociationSouth London and Maudsley NHS Foundation TrustNational Institute on AgingNational Institute for Health and Care ResearchEU Joint Programme – Neurodegenerative Disease ResearchParkinson Research FoundationEuropean CommissionTorsten Söderbergs Stiftelse
KeywordsValue (mathematics)MedicineInternal medicineComputer scienceMachine learning

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.401
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