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NEUROIMAGING OF SUBCORTICAL BRAIN VOLUME ALTERATIONS IN PEADIATRIC AND ADULT OBSESSIVE-COMPULSIVE DISORDER: Preliminary findings from the ENIGMA Obsessive-Compulsive Disorder working group

2017· article· en· W2681938712 on OpenAlexaff
Premika S.W. Boedhoe, Lianne Schmaal, Janardhan Reddy, Jun Soo Kwon, Yuqi Cheng, Takashi Nakamae, Gianfranco Spalletta, Jan‐Carl Beucke, Carles Soriano‐Mas, Luisa Lázaro, Kate D. Fitzgerald, Kathrin Koch, Marcello Q. Hoexter, Francesco Benedetti, Tomohiro Nakao, Zhen Wang, David Mataix‐Cols, H. Blair Simpson, Susanne Walitza, David F. Tolin, Paul Arnold, Chaim Huyser, Damiaan Denys, Noam Soreni, Patricia Guner, Paul M. Thompson, Derrek P. Hibar, Neda Jahanshad, Dan J. Stein, Odile A. van den Heuvel

Bibliographic record

VenueEuropean Neuropsychopharmacology · 2017
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsBonferroni correctionNeuroimagingContext (archaeology)Meta-analysisAnalysis of variancePsychologySample size determinationMagnetic resonance imagingMedicineClinical psychologyInternal medicineNeuroscienceRadiologyStatistics

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.002
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 head0.013
GPT teacher head0.292
Teacher spread0.279 · 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 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
Published2017
Admission routes1
Has abstractno

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