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Record W4414864521

Venöz Bacak Ülserinde Kanıt Temelli Uygulamalar

2024· article· en· W4414864521 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDergiPark (Istanbul University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)AnkleVenous leg ulcerIncidence (geometry)Wound careLower limb
DOInot available

Abstract

fetched live from OpenAlex

A venous leg ulcer is defined as an open lesion extending from the ankle to the mid-calf, persisting for more than six weeks. This condition is associated with increased regional pressure. Venous leg ulcers are the most common type of ulcer in the lower extremity, with an estimated incidence of approximately 1%. Long-term treatment and recurrence rates are estimated to be 50-70%. These factors have a significant impact on patients' quality of life and place a significant burden on healthcare systems. The aim of treatment of venous leg ulcers is to reduce venous pressure, stimulate wound granulation and accelerate epithelialisation and wound healing, reduce oedema, reduce pain and improve the patient's quality of life and prevent recurrence. A multidisciplinary approach is important to increase the chance of success in diagnosis, treatment and follow-up.The aim of this review is to share evidence-based approaches developed by Wounds Canada for the prevention and management of venous leg ulcers.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.260
Teacher spread0.247 · 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