Bibliographic record
Abstract
Ayak bilegi kiriklari, Ortopedik Travmatoloji pratiginde en sik karsilasilan kiriklardan olup, cogu dusuk enerjili rotasyonel travmalarla olusur. Ayak bilegi yaralanmalarinda radyolojik inceleme gerekliligine Ottawa kurallari dikkate alinarak karar verilmelidir. Standart travma serisi; on-arka, dis ve mortis grafileridir. Gerekli hallerde stres grafileri, bilgisayarli tomografi (BT) veya manyetik rezonans goruntuleme (MRG) cekilebilir. Ayak bilegi kiriklarinin siniflamasinda dis malleol kirigi seviyesinin temel alindigi AO/Weber ve yaralanma mekanizmasinin dikkate alindigi Lauge-Hansen siniflamalari sikca kullanilmaktadir. Kiriklarin cogu stabil, izole malleol kirigi seklindedir ve konservatif tedavi edilir. Kaymis instabil kiriklar ise, cerrahi tedavi gerektirir. Cerrahi zamanlamada yumusak dokularin durumu onem tasir. Kompleks yaralanmalarda cerrahiye genellikle dis malleolden baslanir. Dis malleolun anatomik reduksiyonu ile uzantinin olusturulmasi saglanir. Dis malleol kiriklarinin osteosentezinde lag vidasi, 1/3 tubuler veya anatomik plak kullanilabilir. Anatomik reduksiyon ic malleol icin de sarttir ve cogunlukla iki adet 4 mm kismi yivli kanullu vida kullanilir. Tam kopmus deltoid bagin onarilmasi stabilite icin esastir. Eklem yuzunun %25’inden fazlasini iceren arka malleol kiriklari, posteriyor direkt yaklasimla veya onden arkaya gonderilen lag vidasi ile indirekt yontemle onarilir. Ameliyat sirasinda dis malleolun tespiti tamamlandiktan sonra, sindesmoz stabilitesi skopi altinda ameliyat sirasi stres testi ile degerlendirilmelidir. Yarali sindesmoz redukte edilerek sabitlenmelidir. Rijit sabitleme bir veya iki adet 3.5 veya 4.5 mm vida ile uc veya dort korteks gecilerek yapilabilir. Sindesmoz vidalarinin en gec uc ay sonra cikarilmasi gerekir. Vidaya alternatif olarak kullanilan esnek sabitleme materyalleri biyomekanik yeterlilik bakimindan sorgulansa da daha fizyolojik kabul edilmektedir. Ayak bilegi kiriklarinda komplikasyonlar; pozisyon kaybi, cilt sorunlari, enfeksiyon, kaynamama, kotu kaynama, kaynama gecikmesi, artroz, sinostoz, refleks sempatik distrofi ve ayakta kompartman sendromudur.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".