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Neuroimaging and Biosample Collection in the Toronto Adolescent and Youth Cohort Study: Rationale, Methods, and Early Data
Erin W. Dickie, Stephanie H. Ameis, Isabelle Boileau, Andreea O. Diaconescu, Daniel Felsky, Benjamin I. Goldstein, Vanessa F. Gonçalves, John D. Griffiths, John D. Haltigan, Muhammad Omair Husain, Dafna Sara Rubin-Kahana, Myera Iftikhar, Melanie Jani, Meng‐Chuan Lai, Hsiang‐Yuan Lin, Bradley J. MacIntosh, Anne L. Wheeler, Neil Vasdev, Érica Leandro Marciano Vieira, Ghazaleh Ahmadzadeh, Lindsay Heyland, Akshay Mohan, Feyi Ogunsanya, Lindsay D. Oliver, Cherrie Zhu, Jimmy K Y Wong, Colleen E. Charlton, Jennifer Truong, Lujia Yu, Rachel Kelly, Kristin Cleverley, Darren Courtney, George Foussias, Lisa D. Hawke, Sean Hill, Nicole Kozloff, Alexia Polillo, Martin Rotenberg, Lena C. Quilty, Wanda Tempelaar, Wei Wang, Yuliya S. Nikolova, Aristotle N. Voineskos
Bibliographic record
VenueBiological Psychiatry Cognitive Neuroscience and Neuroimaging · 2023
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMental Health Research CanadaSunnybrook HospitalWestern UniversityCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchNational Institute of Mental HealthSocial Sciences and Humanities Research Council of CanadaMargaret and Wallace McCain Centre for Child, Youth and Family Mental HealthDepartment of Psychiatry, University of TorontoPeter Gilgan FoundationCundill Centre for Child and Youth DepressionUniversity of TorontoCanada Research ChairsCanarieOntario Brain InstituteArcus FoundationFondation Brain CanadaRainwater Charitable FoundationOntario HIV Treatment NetworkAzrieli FoundationNatural Sciences and Engineering Research Council of CanadaMinistère de la Défense NationaleCentre for Addiction and Mental Health FoundationGovernment of OntarioJ.W. McConnell Family FoundationKrembil FoundationCanada Foundation for InnovationRoyal Bank of CanadaCentre for Addiction and Mental HealthWellcome TrustCanadian Institute for Military and Veteran Health ResearchOntario Research FoundationNovartis FoundationHospital for Sick ChildrenHeart and Stroke Foundation of CanadaNational Institutes of HealthRobert Wood Johnson Foundation
KeywordsCohortNeuroimagingMedicineMental healthPsychiatryClinical psychologyInternal medicine
Abstract
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 imitationNot 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)0.002
metaresearch head score (Gemma)0.008
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 score0.013
Threshold uncertainty score0.923
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.188
GPT teacher head0.384
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations7
Published2023
Admission routes3
Has abstractyes