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Record W3137024451 · doi:10.1016/j.jaac.2021.03.005

Editors’ Note and Special Communication: Research Priorities in Child and Adolescent Mental Health Emerging From the COVID-19 Pandemic

2021· letter· en· W3137024451 on OpenAlexafffund
Douglas K. Novins, Joel Stoddard, Robert R. Althoff, Alice Charach, Samuele Cortese, Kathryn R. Cullen, Jean A. Frazier, Stephen J. Glatt, Schuyler W. Henderson, Ryan J. Herringa, Leslie A. Hulvershorn, Christian Kieling, Anne B. McBride, Elizabeth McCauley, Christel M. Middeldorp, Angela M. Reiersen, Carol Rockhill, Adam J. Sagot, Lawrence David Scahill, Emily Simonoff, S. Evelyn Stewart, Eva Szigethy, Jerome H. Taylor, Tonya White, Bonnie T. Zima

Bibliographic record

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2021
Typeletter
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of British ColumbiaHospital for Sick Children
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institute on Drug AbuseNational Institute of Mental HealthEconomic and Social Research CouncilCanadian Institutes of Health ResearchMcDonnell Center for Systems NeuroscienceSubstance Abuse and Mental Health Services AdministrationNational Institutes of HealthRegion SjællandHospital for Sick ChildrenAdministration for Children and FamiliesConselho Nacional de Desenvolvimento Científico e TecnológicoNational Health and Medical Research CouncilAmerican Academy of Child and Adolescent PsychiatryCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversity of OxfordMorehouse School of MedicineMaudsley CharityAcademy of Medical SciencesPsychiatry Research TrustRoyal Academy of EngineeringInstitute of Education SciencesU.S. Department of DefenseFast GrantsKlingenstein Third Generation FoundationMarcus FoundationTulane UniversityAmerican Psychiatric PublishingNational Science FoundationUniversity of MinnesotaMassachusetts General HospitalMedical Research CouncilTeva Pharmaceutical IndustriesGreenwich BiosciencesUniversity of TorontoYale UniversityAmerican Foundation for Suicide PreventionEuropean CommissionBritish Association for PsychopharmacologyCohen Veterans Bioscience
KeywordsMental healthPandemicPaceGlobeCoronavirus disease 2019 (COVID-19)PsychologyIsolation (microbiology)MedicinePsychiatryDiseasePhysics

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 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)0.008
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.080
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.045
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0080.006
Open science0.0030.003
Research integrity0.0800.077
Insufficient payload (model declined to judge)0.0130.007

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 head0.072
GPT teacher head0.430
Teacher spread0.358 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations38
Published2021
Admission routes2
Has abstractno

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Same venueJournal of the American Academy of Child & Adolescent PsychiatrySame topicCOVID-19 and Mental HealthFrench-language works237,207