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Record W2050034286 · doi:10.1136/bmj.f5270

Adolescents and young adults who are not in employment, education, or training

2013· editorial· en· W2050034286 on OpenAlexaff
Jan Scott, David Fowler, Patrick D. McGorry, Max Birchwood, Eóin Killackey, Helen Christensen, Nick Glozier, Alison R. Yung, Paddy Power, Merete Nordentoft, Swaran P. Singh, Elisa Brietzke, S. I. Davidson, Philippe Conus, Frank Bellivier, Richard Delorme, I. C. MacMillan, John Buchanan, Francesc Colom, Eduard Vieta, Michael Bauer, Philip McGuire, Kathleen R. Merikangas, Ian B. Hickie

Bibliographic record

VenueBMJ · 2013
Typeeditorial
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental Health
Fundersnot available
KeywordsUnemploymentDisadvantagedMental healthEuropean unionProductivityWelfarePopulationYouth unemploymentDepression (economics)Gross domestic productMedicineEconomic costDemographic economicsPsychologyDemographyGerontologyPsychiatryEconomic growthEconomicsEnvironmental healthEconomic policySociology

Abstract

fetched live from OpenAlex

Newcastle Univ, Inst Neurosci, Wolfson Unit, Dept Acad Psychiat, Newcastle Upon Tyne NE4 6BE, Tyne & Wear, England

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)0.016
metaresearch head score (Gemma)0.055
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.022
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.055
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0040.004
Science and technology studies0.0040.003
Scholarly communication0.0060.006
Open science0.0050.002
Research integrity0.0220.027
Insufficient payload (model declined to judge)0.0090.005

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 head0.061
GPT teacher head0.424
Teacher spread0.364 · 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
GenreEditorial

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

Citations77
Published2013
Admission routes1
Has abstractyes

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