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Record W4411615517 · doi:10.21203/rs.3.rs-6370459/v1

International consensus for the assessment of social cognition in neurocognitive disorders: framework definition and clinical recommendations of the SIGNATURE initiative

2025· preprint· en· W4411615517 on OpenAlexaff
Alessandra Dodich, Andrea Panzavolta, Giulia Funghi, Claudia Meli, Cristina Festari, Thanos Chatzikostopoulos, Christian Chicherio, María Florencia Clarens, Fabricio Ferreira de Oliveira, Marco Filardi, Agustín Ibáñez, Laura Invernizzi, Thibaud Lebouvier, Giancarlo Logroscino, Sarah E. MacPherson, Riccardo Manca, Camillo Marra, Jordi A. Matías‐Guiu, Maxime Montembeault, C Papagno, Simone Pomati, Mario Possenti, Olivier Piguet, Leonardo Sacco, Ann‐Katrin Schild, Marc Sollberger, Miguel Tábuas‐Pereira, Marianna Tsatali, Tsolaki Tsolaki, Esther van den Berg, Stefano F. Cappa, Maxime Bertoux, Fiona Kumfor, Jan Van den Stock, Marina Boccardi, Kathleen A. Welsh‐Bohmer, Chiara Cerami

Bibliographic record

VenueResearch Square · 2025
Typepreprint
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsMcGill University
FundersEU Joint Programme – Neurodegenerative Disease ResearchAlzheimer's Association
KeywordsNeurocognitiveCognitionSignature (topology)PsychologyCognitive psychologyPsychiatry

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)0.008
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.340
GPT teacher head0.610
Teacher spread0.270 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractno

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