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Neural and Cognitive Correlates of the Common and Specific Variance Across Externalizing Problems in Young Adolescence

2014· article· en· W2154089368 on OpenAlexaff
Natalie Castellanos‐Ryan, Maren Struve, Robert Whelan, Tobias Banaschewski, Gareth J. Barker, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Herta Flor, Mira Fauth‐Bühler, Vincent Frouin, Juergen Gallinat, Penny Gowland, Andreas Heinz, Claire Lawrence, Jean‐Luc Martinot, Frauke Nees, Tomáš Paus, Zdenka Pausová, Marcella Rietschel, Trevor W. Robbins, Michael N. Smolka, Günter Schumann, Hugh Garavan, Patricia Conrod

Bibliographic record

VenueAmerican Journal of Psychiatry · 2014
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsHospital for Sick ChildrenMcGill UniversitySickKids FoundationMontreal Neurological Institute and HospitalUniversity of TorontoUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPsychologyCognitionDevelopmental psychologyConduct disorderNeural correlates of consciousnessLongitudinal studyClinical psychologyVariance (accounting)PsychiatryMedicine

Abstract

fetched live from OpenAlex

Longitudinal and family-based research suggests that conduct disorder, substance misuse, and ADHD involve both unique forms of dysfunction as well as more specific dysfunctions unique to each condition. Using direct measures of brain function, this study also found evidence in both unique and disorder-specific perturbations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.294
Teacher spread0.280 · 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

Citations136
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of PsychiatrySame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207