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Record W2047677396 · doi:10.1016/s2214-109x(13)70014-7

Born too small or too soon

2013· letter· en· W2047677396 on OpenAlexaffabout
Michael S. Kramer

Bibliographic record

VenueThe Lancet Global Health · 2013
Typeletter
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsMEDLINEMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

In The Lancet Global Health, Anne Lee and colleagues from the Child Health Epidemiology Reference Group (CHERG)1 make an important contribution to our understanding of the global burden of intrauterine growth restriction. What is new in this work is the evidence that the majority of growth-restricted neonates (assessed with the proxy of small-for-gestational-age birth) weigh 2500 g or more at birth, even in low-income and middle-income countries. In high-income countries, most preterm infants—particularly those born at 34–36 completed weeks of gestation—also weigh at least 2500 g.

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)0.003
metaresearch head score (Gemma)0.018
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: Commentary
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0240.012

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 head0.060
GPT teacher head0.349
Teacher spread0.289 · 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

Citations19
Published2013
Admission routes2
Has abstractyes

Explore more

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