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Record W4401230226 · doi:10.1016/s2352-4642(24)00205-0

Correction to Lancet Child Adolesc Health 2024; published online July 29. https://doi.org/10.1016/S2352-4642(24)00145-7

2024· erratum· en· W4401230226 on OpenAlexfundno aff

Bibliographic record

VenueThe Lancet Child & Adolescent Health · 2024
Typeerratum
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
FundersSpendenstiftung Bank VontobelDepartment for International Development, UK GovernmentAcadia UniversityCostco Wholesale
KeywordsMedicineLibrary sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

Sardinha L, Yüksel-Kaptanoğlu I, Maheu-Giroux M, García-Moreno C. Intimate partner violence against adolescent girls: regional and national prevalence estimates and associated country-level factors. Lancet Child Adolesc Health 2024; published online July 29. https://doi.org/10.1016/S2352-4642(24)00145-7—In this Article, the second sentence of the Findings in the Summary should read: “Prevalence varied greatly across countries and regions, with lifetime prevalence ranging from 6% (3–11) in Georgia to 49% (35–64) in Papua New Guinea.” This correction has been made to the online version as of July 31, 2024.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaResearch integrity
Domain: not available · Genre: Editorial
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.045
Insufficient payload (model declined to judge)0.0060.021

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 head0.037
GPT teacher head0.333
Teacher spread0.296 · 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

Labeled directly by 2 models reading the full record.

Research integrity

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable
Domainnot available
GenreEditorial · Other

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 routes1
Has abstractyes

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