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Record W2462294728

[Increased cortisol levels, frostbite and effects on the muscles and skeleton during extreme polar conditions].

2003· article· en· W2462294728 on OpenAlexaboutno aff
Kjetil Steine, Arne Røseth, Gunnar Sandbæk, Robert Murison, Carl-Erik Slagsvold, Anne R. Keller, Jan A. Falch

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineShouldersFrostbiteStress fracturesPhysical therapyInternal medicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: We wanted to record physiological changes, injuries and illnesses during a long sledge expedition in North Canada. MATERIAL AND METHODS: The expedition consisted of four men aged 41 to 50, and 16 polar dogs. Measurements of cortisol in saliva were performed before, during and after the expedition. Frostbites and other injuries were registered continuously. Body weight and muscle, fat and bone mass were measured by dual X-ray absorptiometry scanning, and strength and endurance of shoulders, knees and back were tested. The group encountered extreme frost (-30 to -42 degrees C day temperature), wind, unexpected amounts of pack ice, and poorly motivated dogs. RESULTS AND INTERPRETATION: The participants showed increased free cortisol levels during their stay on the ice, probably because of increased mental stress. Three got first degree and two second-degree frostbites, but the affected areas were normal on vascular examination five months later. All members increased their muscle mass, but muscle strength and endurance remained unchanged.

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)0.001
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 score0.809
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.239
Teacher spread0.204 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

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