MétaCan
Menu
Back to cohort
Record W2995294791 · doi:10.1016/s2214-109x(19)30442-5

Births and deaths must be registered in Africa

2019· letter· en· W2995294791 on OpenAlexaff
Osman Sankoh, Kim Dickson, Sanjo Faniran, John Idris Lahai, Fatu Forna, Evans Liyosi, Mohamed Koblo Kamara, Sonnia‐Magba Bu‐Buakei Jabbi, Andrew Bob Johnny, Neneh Conteh-Khali, Agnes Bangali, Jia Bainga Kangbai, Tahir Bockarie, Mohamed M Massaquoi, Francis Smart, Amara Jambai, Michael Clarke, Andile Dlamini, Pali Lehohla, Mark Weston

Bibliographic record

VenueThe Lancet Global Health · 2019
Typeletter
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsWestern University
Fundersnot available
KeywordsCommissionEnvironmental healthEconomic growthDeveloping countryGeographySustainable developmentMedicineSocioeconomicsPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

Goal 3 of the Sustainable Development Goals (SDGs) aims to “ensure healthy lives and promote well-being for all at all ages” by 2030.1 The goal includes targets related to reducing maternal and child mortality, ending lethal epidemics such as HIV/AIDS and malaria, reducing mortality from non-communicable diseases, and curbing the number of deaths caused by traffic accidents and environmental contamination. SDG 16, which aims to build peaceful, just, and inclusive societies, includes a target to reduce the number of deaths caused by violence.

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)0.007
metaresearch head score (Gemma)0.035
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: Commentary · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0830.034

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 head0.072
GPT teacher head0.350
Teacher spread0.278 · 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
GenreCommentary

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

Citations42
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Global HealthSame topicGlobal Maternal and Child HealthFrench-language works237,207