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Record W3027463737 · doi:10.1038/s41380-020-0757-x

Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study

2020· article· en· W3027463737 on OpenAlexaff
Amirhossein Modabbernia, Abraham Reichenberg, Alex Ing, Dominik A. Moser, Gaëlle E. Doucet, Éric Artiges, Tobias Banaschewski, Gareth J. Barker, Andreas Becker, Arun L.W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Juliane H. Fröhner, Hugh Garavan, Penny Gowland, Antoine Grigis, Yvonne Grimmer, Andreas Heinz, Corinna Insensee, Bernd Ittermann, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Sabina Millenet, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Jani Penttilä, Luise Poustka, Michael N. Smolka, Argyris Stringaris, Betteke Maria van Noort, Henrik Walter, Robert Whelan, Sophia Frangou

Bibliographic record

VenueMolecular Psychiatry · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of British ColumbiaHolland Bloorview Kids Rehabilitation Hospital
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on AgingAgence Nationale de la RechercheNational Institute of Mental HealthMedical Research CouncilNational Institute for Health and Care ResearchEU Joint Programme – Neurodegenerative Disease Research
KeywordsNeuroimagingPsychosocialAnthropometryBrain sizeBrain morphometryLongitudinal studyPsychologyCohortPopulationBrain Structure and FunctionBrain developmentAffect (linguistics)CognitionDevelopmental psychologyMedicineMagnetic resonance imagingNeuroscienceInternal medicinePsychiatryPathologyEnvironmental health

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 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)0.001
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.013
GPT teacher head0.244
Teacher spread0.232 · 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

Citations49
Published2020
Admission routes1
Has abstractyes

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