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Record W4241169375 · doi:10.1002/da.22869

Issue Information

2018· paratext· en· W4241169375 on OpenAlexfundno aff

Bibliographic record

VenueDepression and Anxiety · 2018
Typeparatext
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
FundersNational Institute of Mental HealthAudrey and Theodor Geisel School of Medicine at DartmouthDell Medical School, University of Texas at AustinVeterans Affairs San Diego Healthcare SystemWeill Cornell Medical CollegeUniversity of California, Los AngelesUniversity of Illinois at Urbana-ChampaignDalhousie UniversityRijksuniversiteit GroningenUniversity of Texas at AustinRush UniversitySchool of Medicine, Emory UniversityUniversity of ReginaUniversity of PittsburghUniversity of CincinnatiUniversity of LouisvilleUniversity of WashingtonJohns Hopkins UniversityUniversity of South FloridaMcLean HospitalDartmouth CollegeSchool of Medicine, Duke UniversityUniversity of MiamiEmory UniversityVirginia Commonwealth UniversityBrown UniversitySchool of Medicine, Stanford UniversityMcMaster UniversityUniversity of California, San DiegoYale UniversityTechnische Universität DresdenNew York State Psychiatric InstituteMassachusetts General Hospital
KeywordsCitationInformation retrievalPsychologyWorld Wide WebLibrary scienceInternet privacyComputer science

Abstract

fetched live from OpenAlex

de nervios like events in a diverse sample of adults with anxiety disorders

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8760.728

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 head0.016
GPT teacher head0.330
Teacher spread0.315 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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