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Inattention and Reaction Time Variability Are Linked to Ventromedial Prefrontal Volume in Adolescents

2017· article· en· W2572261981 on OpenAlexaff
Matthew D. Albaugh, Catherine Orr, Bader Chaarani, Robert R. Althoff, Nicholas Allgaier, Nicholas D’Alberto, Kelsey Hudson, Scott Mackey, Philip A. Spechler, Tobias Banaschewski, Rüdiger Brühl, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Jürgen Gallinat, Robert Goodman, Penny Gowland, Yvonne Grimmer, Andreas Heinz, Viola Kappel, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Jani Penttilä, Luise Poustka, Tomáš Paus, Michael N. Smolka, Maren Struve, Henrik Walter, Robert Whelan, Günter Schumann, Hugh Garavan, Alexandra Potter

Bibliographic record

VenueBiological Psychiatry · 2017
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of TorontoBaycrest HospitalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on Drug AbuseNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthNational Institute of General Medical SciencesNational Institute for Health and Care ResearchBundesministerium für Bildung und ForschungSvenska Forskningsrådet FormasDeutsche ForschungsgemeinschaftEuropean CommissionForskningsrådet om Hälsa, Arbetsliv och VälfärdWellcome Trust
KeywordsVentromedial prefrontal cortexPsychologyPrefrontal cortexPsychopathologyStrengths and Difficulties QuestionnaireAttention deficit hyperactivity disorderBasal gangliaNeuroimagingPopulationClinical psychologyNeurosciencePsychiatryMedicineCognitionMental healthCentral nervous system

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.315
Teacher spread0.281 · 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.

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

Citations64
Published2017
Admission routes1
Has abstractno

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