MétaCan
Menu
Back to cohort
Record W2291857200 · doi:10.1186/s40795-016-0047-9

Preterm feeding recommendations are achievable in large-scale research studies

2016· article· en· W2291857200 on OpenAlex
Leila Cheikh Ismail, Francesca Giuliani, Bashir A. Bhat, Deborah C. Bishop, Aris T. Papageorghiou, Roseline Ochieng, F. Puglia, Douglas G. Altman, Michael Maia-Schlüssel, J. Alison Noble, Enrico Bertino, Michael G. Gravett, Manorama Purwar, Lui Yajing, Denise M. Mota, Eric O. Ohuma, Ann Lambert, Stephen Kennedy, Zulfiqar A Bhutta, José R. Villar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Nutrition · 2016
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsHospital for Sick Children
FundersUniversity of OxfordUniversidade Federal de PelotasUniversity of WashingtonBill and Melinda Gates Foundation
KeywordsMedicineBreastfeedingInterquartile rangeGestational agePediatricsGestationObstetricsNeonatologyBirth weightPregnancyClinical nutritionInternal medicine

Abstract

fetched live from OpenAlex

Background: The INTERGROWTH-21 st Project aimed to produce international, prescriptive, postnatal growth standards for preterm infants born to healthy, well-nourished mothers receiving adequate antenatal care. There is little information available regarding optimal postnatal growth among uncomplicated preterm newborns. We describe how the preterm infants contributing to the standards followed evidence-based feeding recommendations.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.185
GPT teacher head0.448
Teacher spread0.263 · 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