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Record W2381244200 · doi:10.1093/pch/21.4.178

Nontherapeutic neonatal hypothermia

2016· article· es· W2381244200 on OpenAlexaff
Michael Sgro, Douglas M. Campbell, Neil Gandhi

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languagees
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsHypothermiaMedicineIntensive care medicineAnesthesia

Abstract

fetched live from OpenAlex

The case presented advocates for prolonged resuscitation, and aggressive rewarming in neonates with severe hypothermia (core temperature <32.0°C). The importance of rewarming has not been extensively studied in current guidelines, whereas the importance of cardiopulmonary resuscitation is well established. This abandoned, severely hypothermic (found with temperature of 27.9°C) newborn had an excellent neurological outcome at two years of age with aggressive resuscitation and rewarming techniques initiated at the time of presentation. Active core rewarming with warm saline lavages, intravenous fluids and warm air may be used at a rate of 1.8°C/h to 5.3°C/h according to most guidelines. Rewarming guidelines for asphyxiated infants undergoing therapeutic hypothermic may not be applicable to infants with accidental exposure, as in the present case. The present case of a near-term severely hypothermic infant reinforces the current recommendation of continuing resuscitative measures, irrespective of response to resuscitation, until the infant has been rewarmed.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.351
Teacher spread0.317 · 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 designObservational
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

Citations4
Published2016
Admission routes1
Has abstractyes

Explore more

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