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Record W2088680292 · doi:10.12927/cjnl.2013.23356

Mothers' "Liquid Gold": A Quality Improvement Initiative to Support Early Colostrum Delivery via Oral Immune Therapy (OIT) to Premature and Critically Ill Newborns

2013· article· en· W2088680292 on OpenAlexvenueaboutno aff
Donna Pletsch, Cindy Ulrich, Michelle Angelini, Gail Fernandes, David Lee

Bibliographic record

VenueNursing leadership · 2013
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineColostrumNecrotizing enterocolitisIntensive care medicineBreastfeedingCritically illBreast milkPediatricsGold standard (test)ImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Early breast milk, known as colostrum ("liquid gold") provides immune benefits to infants, offering potential risk reduction for nosocomial infection (NI) and necrotizing enterocolitis (NEC), a serious gastrointestinal emergency. Provision of colostrum is recognized as oral immune therapy (OIT) and is valuable to all NICU infants unable to feed orally. A quality improvement project was initiated by the multidisciplinary NICU Quality Care Council at London Health Sciences Centres-Victoria (LHSC-VH) to obtain mothers' colostrum for early OIT. The initiative was driven by the Canadian EPIQ (Evidence-based Practice for Improving Quality) group as a means of reducing the rates of NEC and NI, two major morbidities in the NICU. The overall aim was to facilitate the availability of OIT to preterm and critically ill neonates as soon as possible after birth.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.341
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations20
Published2013
Admission routes2
Has abstractyes

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