ORTOPEDi VE TRAVMATOLOJi HASTALARINDA POSTOPERATiF AĞRI TANILAMASI
Bibliographic record
Abstract
Ara ttrma, Ortopedi ve Travmatoloji hastalannda, postoperatif dOnemde agn tan1lamas1 yapmak amactyla planland1. Bu tan1mlay1c1 c;ah man1n Otneklemini; tedavi amac1yla i.iniversite hastanesine ba vuran, btiyi.ik ameliyat gec;iren, postoperatif dOnemde hastanede yat1 1n1n 3. gtinUnde, 18 ya ve Usttinde olan, genel anestezi alan, agnya neden olan ba$ka bir akut hastahg1 bulunmayan, ameliyat s!fas1nda ve sonras1 3 gtin i<;inde hi<;bir komplikasyon geli meyen bireyler aras1ndan olas1hks1z Orneklerne yOntemi ile sec;ilen 150 ki$i olu turdu. Veriler Hasta Bilgi Formu vc McGill Melzack Agn Soru Formu (MASF) arac1hg1 ile topland1. <;:ahimada, 56-65 yai grubundaki hastalann agn $iddetinin, 18-25 y grubundaki hastalara gOre daha ytiksek, kad1n hastalann agn ifadclerinin, crkek hastalara gore daha yeterli ve agn iddetinin, erkek hastalara gore daha ytiksek, ya$amlann1 en c;ok Karadeniz Bolgesi' nde gei;irmi hastalann agn $iddetinin, ic; Anadolu Bolgesi' nde ya am1 hastalara gore daha ytiksek, vertebra rckonstrtiksiyonu ameliyatt olan hastalann agn iddetinin, diz protezi ameliyat1 gec;iren hastalara gore daha ytiksek oldugu gOrtildti ve istatistiksel ac;1dan anlamh bir fark oldugu saptand1. ah$ma bulgulan, postoperatif donemde agn tan1lamas1 yapman1n tinemini gOstermi tir.Anahtar Kelimeler: Postoperatif agn, Postoperatif agn tan1lamas1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".