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Record W4387493052 · doi:10.1016/s0890-8567(23)02058-0

Disclosures

2023· article· en· W4387493052 on OpenAlexfundno aff

Bibliographic record

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
FundersJanssen PharmaceuticalsNational Cancer InstituteNational Institute on Drug AbuseNational Institute of Mental HealthCanadian Institutes of Health ResearchHealth Resources and Services AdministrationCundill Centre for Child and Youth DepressionNeuraxpharmServierNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversity of OxfordZonMwUniversity of CambridgeH. Lundbeck A/SHackensack Meridian HealthOtsuka AmericaChild Mind InstituteCenters for Disease Control and PreventionMyriad GeneticsEisaiBrainsWayArbor PharmaceuticalsAmerican Academy of Addiction PsychiatryNeurocrine BiosciencesAmerican Heart AssociationCase Western Reserve UniversityACADIA PharmaceuticalsGerstner Family FoundationNational Institute of Nursing ResearchShriners Hospitals for ChildrenZynerba PharmaceuticalsSunovionAssociation for Psychological ScienceOtsuka America PharmaceuticalGilead SciencesTourette Association of AmericaJane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los AngelesUniversity of Colorado Colorado SpringsVanderbilt Institute for Clinical and Translational ResearchUCLA Health SystemParent Project Muscular DystrophyUniversity of PittsburghTakeda Pharmaceuticals U.S.A.Hartwell FoundationSage TherapeuticsJohns Hopkins UniversityAxial BiotherapeuticsPfizerUniversity of WashingtonPeabody CollegeYork UniversityChildren's Hospital ColoradoGenentechCharles H. Hood FoundationIndiviorF. Hoffmann-La RocheInternational OCD FoundationOnce Upon A Time FoundationNational Heart, Lung, and Blood InstituteFlorida Department of HealthMajor League BaseballAmerican Foundation for Suicide PreventionCVS HealthAbbVieAmerican Brain FoundationBristol-Myers SquibbTeva Pharmaceutical IndustriesNational Institutes of HealthAmerican Academy of Child and Adolescent PsychiatryOklahoma State UniversitySociety of Clinical Child and Adolescent PsychologyNational Science FoundationMassachusetts General HospitalHarvard UniversityNovartisBiogenVanderbilt UniversityDepartment of Health Care ServicesTD BankAbbott LaboratoriesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentU.S. Department of Health and Human ServicesNational Institute of Child Health and Human DevelopmentSupernus PharmaceuticalsEli Lilly and Company
KeywordsPsychology

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)0.004
metaresearch head score (Gemma)0.023
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: Other · Consensus signal: Other
Teacher disagreement score0.230
Threshold uncertainty score0.769

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.2300.049

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 head0.183
GPT teacher head0.505
Teacher spread0.322 · 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
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractno

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