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Record W4386000550 · doi:10.1007/s41999-023-00846-2

Emerging disease modifying therapies for older adults with Alzheimer disease: perspectives from the EuGMS special interest group in dementia

2023· editorial· en· W4386000550 on OpenAlexfundno aff
Adam H. Dyer, Helena Dolphin, Susan D. Shenkin, Tomas Welsh, Pınar Soysal, Hanna‐Maria Roitto, Dorota Religa, Seán Kennelly, Burcu Akpınar Söylemez, Mariana Alves, C. Atbaş, Cafer Balcı, Giuseppe Bellelli, Frédéric Blanc, Çağatay Çavuşoğlu, Yaohua Chen, M. A. Cherdak, Alessandra Coin, Maria Giovanna Cozza, Mariana Dangiolo, Melanie Dani, Burcu Balam Doğu, Jamin Du, Christina Eleftheriades, Vincenza Frisardi, Lutz Froelich, Seda Güney, Rowan Harwood, Allen Huang, R. I. Isaev, Saadet Koç Okudur, Victoire Leroy, Maria Margarida Luis, Jūratė Macijauskienė, Pavlinka Milosavljevik, E. А. Mkhitaryan, Frank Molnar, Enrico Mossello, Peter Passmore, Geeske Peeters, Christian Pozzi, Terence J. Quinn, Shibley Rahman, Erik Rosendahl, Amrita Roy, Eefje M. Sizoo, Lee Smith, Thomas Tannou, Verena C. Tatzer, Suzanne Timmons, Jos Tournoy, Tarja Välimäki, Maja Velevska, Emma Vardy, Nicola Veronese, Mihai Viorel Zamfir

Bibliographic record

VenueEuropean Geriatric Medicine · 2023
Typeeditorial
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersEuropean Geriatric Medicine SocietyHealth Research BoardHealth Service ExecutiveWellcome TrustMeath FoundationCanadian Institute for Theoretical Astrophysics
KeywordsMedicineDementiaDiseaseGerontologyAlzheimer's diseasePsychiatryInternal medicine

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.305
Teacher spread0.283 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2023
Admission routes1
Has abstractno

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