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Record W4415020894 · doi:10.1016/j.schres.2025.09.019

Polygenic risk score of glycemic homeostasis, Type 2 Diabetes Mellitus and glycemic components in first episode psychosis

2025· article· en· W4415020894 on OpenAlexaff
Àlex G. Segura, Norma Verdolini, Isabel Valli, Clemente García‐Rizo, Covadonga M. Díaz‐Caneja, Eduard Vieta, Gisela Mezquida, António Lobo, Ana González‐Pinto, Álvaro Andreu-Bernabeu, Alejandra Roldán, Anabel Martínez‐Arán, Inmaculada Baeza, Anna Mané, Javier Labad, Daniel J. Müller, Nora Guasch-Capella, Miquel Bernardo, Sergi Mas, Miquel Bioque, Jairo M. González-Díaz, Pablo Andrés, Vito Cavone, Iluminada Corripio, Alejandra Duque, Lorea Mar‐Barrutia, Julen Marin, Concepción De‐la‐Cámara, David Vaquero-Puyuelo, Olga Rivero, M. Fabra, Amira Trabsa, Teresa Legido, María Florencia Forte, Maria Serra‐Navarro, Helena de la Serna, Josefina Castro-Fornielles, Fernando Contreras, María Paz García‐Portilla, Leticia González-Blanco, Rafael Segarra Echevarría, Arantzazu Zabala Rabadán, Roberto Rodriguez-Jimenez, Isabel Martínez‐Gras, Judith Usall, Ana Barajas, Salvador Sarró, Edith Pomarol‐Clotet, Ángela Ibáñez, Manuel J. Cuesta

Bibliographic record

VenueSchizophrenia Research · 2025
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsCentre for Addiction and Mental Health
FundersH2020 Marie Skłodowska-Curie ActionsDepartament de Salut, Generalitat de CatalunyaEuropean Regional Development FundHorizon 2020 Framework ProgrammeInstituto de Salud Carlos IIIMinisterio de Economía y CompetitividadCentro de Investigación Biomédica en Red de Salud MentalEuropean Commission
KeywordsGlycemicPolygenic risk scoreType 2 Diabetes MellitusGenetic predispositionDiabetes mellitusType 2 diabetesGlucose homeostasisAssociation (psychology)

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 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)0.002
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.338
Teacher spread0.291 · 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

Citations0
Published2025
Admission routes1
Has abstractno

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