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Record W4382658178 · doi:10.21203/rs.3.rs-2749722/v1

White matter diffusion estimates in obsessive-compulsive disorder across 1,653 individuals: Machine learning findings from the ENIGMA OCD Working Group

2023· preprint· en· W4382658178 on OpenAlexafffund
Jiook Cha, Bo‐Gyeom Kim, Gakyung Kim, Paul M. Thompson, Willem Bruin, Guido van Wingen, Fabrizio Piras, Dan J. Stein, Odile A. van den Heuvel, H. Blair Simpson, Rachel Marsh, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Alan Anticevic, Paul Arnold, Srinivas Balachander, Nerisa Banaj, Núria Bargalló, Marcelo C. Batistuzzo, Francesco Benedetti, Sara Bertolín, Jan C. Beucke, Irene Bollettini, Silvia Brem, Brian P. Brennan, Jan K. Buitelaar, Rosa Calvo, Yuqi Cheng, Ritu Chhatkuli, Ana Coelho, Beatriz Couto, Sara Dallaspezia, Benjamin A. Ely, Sónia Ferreira, Martine Fontaine, Jean‐Paul Fouché, Rachael Grazioplene, Patricia Gruner, Kristen Hagen, Bjarne Hansen, Yoshiyuki Hirano, Marcelo Q. Hoexter, M. Hough, Hao Hu, Chaim Huyser, Toshikazu Ikuta, Anthony James, Fern Jaspers‐Fayer, Selina Kasprzak, Norbert Kathmann, Christian Kaufmann, Minah Kim, Kathrin Koch, Gerd Kvale, Jun Soo Kwon, Luisa Lázaro, Junhee Lee, Christine Löchner, Jin Lü, Daniela Rodriguez-Manrique, Ignacio Martínez‐Zalacaín, Yoshitada Masuda, Koji Matsumoto, José M. Menchón, Pedro Silva Moreira, Pedro Morgado, Janardhanan C. Narayanaswamy, Jin Narumoto, Ana E. Ortiz, Junko Ota, José C. Pariente, Chris Perriello, Maria Picó‐Pérez, Christopher Pittenger, Sara Poletti, Eva Real, Y.C. Janardhan Reddy, Daan van Rooij, Yuki Sakai, Cinto Segalàs, Zonglin Shen, Eiji Shimiziu, Venkataram Shivakumar, Carles Soriano‐Mas, Nuno Sousa, Mafalda Machado Sousa, Gianfranco Spalletta, Emily Stern, S. Evelyn Stewart, Philip R. Szeszko, Chris Vriend, Susanne Walitza, Zhen Wang, Anri Watanabe, Lidewij H. Wolters, Jian Xu, Kei Yamada, Je‐Yeon Yun, Mojtaba Zarei, Qing Zhao

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryHospital for Sick ChildrenUniversity of TorontoCentre for Addiction and Mental Health
FundersJapan Society for the Promotion of ScienceSeoul National UniversityNational Research FoundationInternational OCD FoundationMichael Smith Health Research BCMinistry of Science and ICT, South KoreaJapan Agency for Medical Research and DevelopmentNational Research Foundation of KoreaFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsObsessive compulsivePsychologyWhite (mutation)White matterGroup (periodic table)DiffusionClinical psychologyPhysicsMedicine

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0030.009
Research integrity0.0010.011
Insufficient payload (model declined to judge)0.0050.004

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 head0.054
GPT teacher head0.394
Teacher spread0.340 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2023
Admission routes2
Has abstractno

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