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Record W4404061408 · doi:10.1038/s41380-024-02784-2

White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individuals

2024· article· en· W4404061408 on OpenAlexafffund
Lorielle M. F. Dietze, Sean R. McWhinney, Pauline Favre, Christoph Abé, Nina Alexander, Carlotta Barkhau, Francesco Benedetti, Michael Berk, Erlend Bøen, Birgitte Boye, Katharina Brosch, Erick J. Canales‐Rodríguez, Dara M. Cannon, Sean Carruthers, Emily L. V. Corkum, Udo Dannlowski, Ana M. Díaz‐Zuluaga, Katharina Dohm, Torbjørn Elvsåshagen, Kira Flinkenflügel, Lydia Fortea, Lisa S. Furlong, Benjamin I. Goldstein, Dominik Grotegerd, Marius Gruber, Bartholomeus C. M. Haarman, Fleur M. Howells, Neda Jahanshad, Hamidreza Jamalabadi, Andreas Jansen, James A. Karantonis, Kody G. Kennedy, Tilo Kircher, Anna Luisa Klahn, Peter Kochunov, Anna Kraus, Mikael Landén, Carlos López‐Jaramillo, Bradley J. MacIntosh, Elena Mazza, Colm McDonald, Andrew M. McIntosh, Hannah Meinert, Susanne Meinert, Elisa Melloni, Philip B. Mitchell, Igor Nenadić, Nils Opel, Mary L. Phillips, Camille Piguet, Mircea Polosan, Edith Pomarol‐Clotet, Arnaud Pouchon, Joaquim Raduà, Gloria Roberts, Alex J. Ross, Susan L. Rossell, Raymond Salvador, Kang Sim, Jair C. Soares, Giovana Zunta‐Soares, Frederike Stein, Benjamin Straube, Chao Suo, Lea Teutenberg, Florian Thomas‐Odenthal, Sophia I. Thomopoulos, Paula Usemann, Tamsyn E. Van Rheenen, Amelia Versace, Eduard Vieta, Enric Vilajosana, Benson Mwangi, Wei Wen, Heather C. Whalley, Mon‐Ju Wu, Ole A. Andreassen, Christopher R. K. Ching, Paul M. Thompson, Josselin Houenou, Tomáš Hájek

Bibliographic record

VenueMolecular Psychiatry · 2024
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsUniversity of TorontoOntario Brain InstituteCentre for Addiction and Mental HealthDalhousie University
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute of Neurological Disorders and StrokeNorges ForskningsrådNational Health and Medical Research CouncilStiftelsen för Strategisk ForskningHjärnfondenU.S. Department of Health and Human ServicesNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheNational Institute of Mental HealthVetenskapsrådetGovernment of CanadaDeutsche Forschungsgemeinschaft
KeywordsBipolar disorderPsychologyWhite matterPsychiatryObesityMedicineCognitionInternal medicineMagnetic resonance imaging

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)0.001
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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.305
Teacher spread0.292 · 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

Citations10
Published2024
Admission routes2
Has abstractno

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