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Record W4299300690

[Hypothermia].

2003· article· en· W4299300690 on OpenAlexaboutno aff
Dagmara Ona Reingardienė

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsHypothermiaMedicineDepression (economics)ResuscitationAnesthesiaCardiopulmonary resuscitationCerebral blood flowBlood pressurePathophysiologyIntensive care medicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Hypothermia is defined as a core body temperature less than 35 degrees C (95 degrees F) and results from prolonged exposure to cold environment, drugs, and underlying pathologic conditions. Hypothermia is associated with marked depression of cerebral blood flow and oxygen requirement, reduced cardiac output, and decreased arterial pressure. Victims can appear to be clinically dead because of marked depression of brain and cardiovascular function, bet full resuscitation with intact neurological recovery is possible. Alcohol or drug intoxication are the dominant precipitating factors. There are about 20,000 hypothermia--related deaths a year in Britain, about 25,000--in the USA, 8,000 deaths a year in Canada. There are suggestions that the unofficial number of hypothermia--related deaths is substantially higher, particularity in the elderly. This article reviews the cause, pathogenesis, pathophysiology, clinical features, electrocardiographic manifestations of hypothermia, diagnosis, pre-hospital stabilization, hospital passive, active external, active core rewarming methods, other questions of treatment, and mortality of hypothermia. It is very important to remember, thar if a hypothermic victim is alive when rescued but dies during recovery treatment, and there is no other significant trauma or disease, this suggests that death may have resulted from either inappropriate or ineffective treatment, or no treatment at all.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.356

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 head0.029
GPT teacher head0.237
Teacher spread0.208 · 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.

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
Published2003
Admission routes1
Has abstractyes

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