Creation, Standardization and Scientific Validation of the Digital Application S-ONapp for the Assessment and Testing of Sexual Dysfunctions
Bibliographic record
Abstract
Objective: To create, standardize and scientifically validate the S-ONapp digital application for mobile phone users in order to diagnose sexual dysfunctions. Material and Methods: 200 men and 200 women from the USA, Canada, Asia and Europe with sexual dysfunction accessed the S-ONapp application through the Google Play platform, following advertisements on social networks. Results: Data indicates high fidelity on Cronbach`s Alpha for each scale of the application and high test retest reliability. Significant correlations were obtained after reporting/linking the S-ONapp digital application to another similar digital tool, such as Sexual-DSMapp Application, indicating a high structural validity. Conclusions: The results obtained indicate that the S-ONapp application, through the two tools for assessing and testing sexual dysfunctions, has clinical robustness in diagnosing sexual dysfunctions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".