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Record W2620658661 · doi:10.4103/joacc.joacc_4_17

Skin to skin: A modern approach to caesarean delivery

2017· article· en· W2620658661 on OpenAlexaff
Ian McConachie, Aya Elsaharty

Bibliographic record

VenueJournal of Obstetric Anaesthesia and Critical Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCaesarean deliveryCaesarean sectionPregnancy

Abstract

fetched live from OpenAlex

Skin to skin care (SSC) after childbirth has been practiced for many years and has become part of the standard of care in many Neonatal ICUs. SSC during Cesarean Delivery is also increasingly popular in many countries. Some of the available literature have concerns regarding methodology but, overall, SSC provides benefits to the neonate in the form of maintained temperature homeostasis, cardiovascular and metabolic stability and less irritability. For the mother there is increased satisfaction, improved breastfeeding and improved bonding with her child. SSC is safe but vigilance must be maintained during SSC as there are potential risks of sudden postnatal collapse due to airway obstruction and asphyxia. There is little information in the Anesthesia literature concerning SSC. Implications for Anesthesia care providers and for Operating Room organisation are discussed.

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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.006

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 head0.057
GPT teacher head0.393
Teacher spread0.336 · 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
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

Citations7
Published2017
Admission routes1
Has abstractyes

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