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Record W2041453868 · doi:10.1159/000242734

New Perspectives in Neonatal Nutrition

2009· review· en· W2041453868 on OpenAlexaff
Paul R. Swyer

Bibliographic record

VenueBiology of the Neonate · 2009
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeonatologyIntensive care medicineMedicinePopulationSpeculationMental developmentPediatricsPsychologyEnvironmental healthBiologyDevelopmental psychologyBusinessPregnancy

Abstract

fetched live from OpenAlex

Modern techniques of cardiopulmonary life support, particularly for very low birthweight infants and those suffering from major surgical conditions, has presented the neonatologist with a completely new population of infants for whom continued survival and further normal physical and mental growth and development are critically dependent on adequate nutrition. The uncertainties surrounding the definition of 'adequacy' as well as the techniques and difficulties of its attainment and assessment are exposed. This paper examines desirable goals to be aimed for in the nutrition of the neonate in relation to genetic potential for growth, development and body composition. There is discussion of current research into the intermediary metabolism and utilisation of macronutrients and certain minerals for energy production and tissue growth and of methodology for determining body composition. The editor has also allowed a certain licence for speculation concerning future directions in neonatal nutrition.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0010.004
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.002

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 head0.057
GPT teacher head0.365
Teacher spread0.308 · 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
GenreReview

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

Citations7
Published2009
Admission routes1
Has abstractyes

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