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Record W2891970239 · doi:10.1136/eb-2018-102948

‘Rooming-in’ could be an effective non-pharmacological treatment for infants with neonatal abstinence syndrome

2018· letter· en· W2891970239 on OpenAlexaff
Karen McQueen

Bibliographic record

VenueEvidence-Based Nursing · 2018
Typeletter
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsLakehead University
Fundersnot available
KeywordsAbstinenceMedicinePediatricsPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Commentary on : MacMillan, KDL. et al . Association of rooming-in with outcomes for neonatal abstinence syndrome: a systematic review with meta-analysis. JAMA Pediatr . 2018; 172; 345-351. The prevalence of neonatal abstinence syndrome (NAS) has increased globally, placing a significant strain on healthcare resources. Newborns with NAS typically receive care in the neonatal intensive care unit (NICU). Recent studies have identified that NAS treatment in the NICU may be associated with longer length of stay, more severe withdrawal and lower rates of breast feeding compared with rooming-in care where mothers and infants remain …

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)0.004
metaresearch head score (Gemma)0.043
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 score0.030
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0300.026
Insufficient payload (model declined to judge)0.0100.006

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 head0.043
GPT teacher head0.349
Teacher spread0.306 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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