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Record W7112032236

living systematic review, meta-analysis and policy recommendations

2024· article· en· W7112032236 on OpenAlexfundaboutno aff

Bibliographic record

VenueUniversidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsnot available
FundersInstituto de Higiene e Medicina Tropical, Universidade Nova de LisboaUniversidade Nova de LisboaGovernment of CanadaWorld Health Organization
KeywordsGovernment (linguistics)WorkforceSolidarityWork (physics)Global healthPortugueseHealth care
DOInot available

Abstract

fetched live from OpenAlex

Funding Information: Centro de Estudos, Pesquisa e Desenvolvimento Tecnológico em Saúde Colectiva (CEPESC) provided management/administrative support. Portuguese Fundação para a Ciência e Tecnologia provides funds to Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa (IHMT/UNL) (GHTM UID/04413/2020). The authors wish to thank Dr. Giorgio Cometto (Health workforce department, World Health Organization, Geneva) for helpful discussions and guidance. Funding Information: Funding from the Government of Canada and Solidarity Fund, through a grant administered by the World Health Organization. Publisher Copyright: © 2024, The Author(s).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0060.016
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.408
GPT teacher head0.448
Teacher spread0.041 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
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

Citations0
Published2024
Admission routes2
Has abstractyes

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