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Record W2154627388 · doi:10.4037/ccn2011873

Therapeutic Hypothermia for Management of Neonatal Asphyxia: What Nurses Need to Know

2011· article· en· W2154627388 on OpenAlex
Nevart Chirinian, Nancy R. Mann

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCritical Care Nurse · 2011
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsHypothermiaMedicineCerebral palsyAsphyxiaEncephalopathyAnesthesiaPerinatal asphyxiaHypoxic Ischemic EncephalopathyNeonatal encephalopathyInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Birth asphyxia can induce a cascade of reactions that result in altered brain function known as hypoxic-ischemic encephalopathy. Possible outcomes for survivors of birth asphyxia vary widely, from a normal outcome to death, with a wide range of disabilities in between, including long-term neurodevelopmental disability, cerebral palsy, neuromotor delay, and developmental delay. Treatment of hypoxic-ischemic encephalopathy has centered on dampening or blocking the biochemical pathways that lead to death of neuronal cells. The reduction of body temperature by 3ºC to 5ºC less than normal body temperature can reduce cerebral injury. At Mount Sinai Hospital in Toronto, Ontario, the goal of therapeutic hypothermia is to achieve a rectal temperature of 33ºC to 34ºC, and the protocol is started within 6 hours after birth. The hypothermia is maintained for 72 hours, and then the infant is gradually warmed to normal body temperature (36.8ºC-37ºC). The protocol and nursing implications are presented.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.324
Teacher spread0.289 · 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