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Mapping Subcortical Brain Alterations in 22q11.2 Deletion Syndrome: Effects of Deletion Size and Convergence With Idiopathic Neuropsychiatric Illness

2020· article· en· W3006118472 on OpenAlexfundno aff
Christopher R. K. Ching, Boris A. Gutman, Daqiang Sun, Julio E. Villalón‐Reina, Anjanibhargavi Ragothaman, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Amy Lin, Rachel K. Jonas, Leila Kushan, Laura Pacheco-Hansen, Ariana Vajdi, Jennifer K. Forsyth, Maria Jalbrzikowski, Geor Bakker, Thérèse van Amelsvoort, Kevin M. Antshel, Wanda Fremont, Wendy R. Kates, Linda Campbell, Kathryn McCabe, Michael Craig, Eileen Daly, Maria Gudbrandsen, Clodagh M. Murphy, Declan Murphy, Kieran C. Murphy, Ania Fiksinski, Sanne Koops, Jacob Vorstman, T. Blaine Crowley, Beverly S. Emanuel, Raquel E. Gur, Donna M. McDonald‐McGinn, David R. Roalf, Kosha Ruparel, J. Eric Schmitt, Elaine H. Zackai, Courtney A. Durdle, Naomi J. Goodrich‐Hunsaker, Tony J. Simon, Anne S. Bassett, Nancy J. Butcher, Eva W.C. Chow, Fidel Vila‐Rodriguez, Adam Cunningham, Joanne Doherty, David E.J. Linden, Hayley Moss, Michael J. Owen, Marianne B. M. van den Bree, Nicolás Crossley, Gabriela M. Repetto, Paul M. Thompson, Carrie E. Bearden

Bibliographic record

VenueAmerican Journal of Psychiatry · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsnot available
FundersNational Institute of Mental HealthNational Institute for Health and Care ResearchNational Institute on AgingWellcome TrustComisión Nacional de Investigación Científica y TecnológicaNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchSouth London and Maudsley NHS Foundation TrustNational Institute of Child Health and Human DevelopmentNIHR Maudsley Biomedical Research CentreNational Institutes of HealthChildren's Hospital of PhiladelphiaKing's College LondonNational Institute of General Medical SciencesFondation Brain CanadaMichael Smith Health Research BCEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentArbor PharmaceuticalsNational Alliance for Research on Schizophrenia and DepressionMedical Research CouncilBiogenUniversity of OxfordVancouver Coastal Health Research InstituteUniversity of Pennsylvania
KeywordsPutamenPsychosisThalamusPsychologyNeuroimagingSchizophrenia (object-oriented programming)AmygdalaHippocampusNeuroscienceInternal medicineMedicinePsychiatry

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
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 score0.460
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.234
Teacher spread0.230 · 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

Citations87
Published2020
Admission routes1
Has abstractyes

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