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Record W48254204 · doi:10.1177/229255030601400111

The Approach to Frostbite in Turkey: A Retrospective Study

2006· article· en· W48254204 on OpenAlexvenueno aff
İlteriş Murat Emsen

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsFrostbiteMedicineIncidence (geometry)Retrospective cohort studyMorningPopulationDemographyGeographySocioeconomicsEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

Increased participation in outdoor activities and an epidemic of homelessness have caused the incidence of cold injuries in the civilian population of Turkey to rise dramatically during the past 20 years. Knowledge of treatment is crucial for emergency physicians in rural and urban areas. Recent developments have significantly advanced the understanding of the pathophysiology of hypothermic and frostbite injuries. The authors undertook a retrospective review of frostbite cases in the East Anatolia region of Turkey. The mean altitude of East Anatolia is 1600 m, and temperatures may be -35 degrees C at night and -18 degrees C in the morning in the cities and surrounding villages. Winter is prolonged and harsh, and freezing is a normal condition in this region. The socioeconomic level in this region is lower than other regions of Turkey. During the winter, roads may be closed for as long as five months, and most villages in East Anatolia have no medical units. Erzurum, one of the coldest cities in East Anatolia, is the only city with advanced medical hospitals in this region. Three hospitals in Erzurum were included in the present study: Ataturk University Medical Faculty, Erzurum Numune Hospital and Erzurum SSK Hospital. Frostbite case records and their properties 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.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.017
GPT teacher head0.230
Teacher spread0.212 · 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

Citations6
Published2006
Admission routes1
Has abstractyes

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