Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".