Bibliographic record
Abstract
Female sexual dysfunction (FSD) is a prevalent health problem thathas been inadequately investigated in the Arab world. An Arabic assessment instrument for FSD is urgently needed.To validate the Arabic version of the Female Sexual Function Index (ArFSFI).This is a cross‐sectional study conducted between January and April 2010. Eight hundred and fifty‐five women (16–60 years old) participated in the study. Validation was carried out on aspects of face, content, discriminant, and criterion (concurrent) validity. Construct validity was evaluated using principal component analysis. Reliability studies on test–retest and on internal consistency were conducted with Pearson correlation and Cronbach's alpha, respectively. The best cutoff point for the ArFSFI to differentiate cases and noncases was determined using a receiver operating characteristic (ROC) curve.Parameters of validity and reliability of the ArFSFI and its domains.ArFSFI total score and scores of various domains showed high test–retest reliability (r from 0.92 to 0.98). ArFSFI domains showed high internal consistency (α from 0.85 to 0.94). Six hundred and forty‐four women (75.32%) met the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, criteria for diagnosis of sexual dysfunction while 211 women (24.68%) showed normal function. The ArFSFI was found to have good discriminant validity. There were significant differences between the mean scores of women with sexual dysfunction and those of women without sexual dysfunction. A total score of 28.1 was taken as the cutoff point for the ArFSFI to distinguish between women with FSD and women with normal function (sensitivity 96.7%, specificity 93.2%). The ArFSFI showed an excellent overall performance (area under the curve [AUC] = 0.985, 95% confidence interval 0.978–0.992).The ArFSFI is a validated, reliable, and locally accepted tool for use in the assessment of FSD in the Egyptian population. Anis TH, Aboul Gheit S, Saied HS, and Al_kherbash SA. Arabic translation of female sexual function index and validation in an Egyptian population. J Sex Med **;**:**–**.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".