Bibliographic record
Abstract
Stress urinary incontinence (SUI) means accidentally leaking urine when coughing, sneezing, or exercising. It’s a common condition, especially in women, and can have a big impact on daily life. There are several treatment options, like pelvic floor exercises or surgery. The decision to have surgery is made during a consultation with a doctor. There are three ways to make this decision: 1. The doctor decides the best treatment for the woman. 2. The woman decides, based on information from the doctor. 3. The doctor and the woman decide together. This thesis looked at what women and doctors think is important when choosing a treatment for SUI. First, two common types of surgery were compared, and women were happy with both options. Next, the study explored how women want to be involved in making treatment decisions. Women and doctors from the Netherlands, the UK, and Canada were interviewed and asked to fill out surveys. Almost all the women said they want to take an active role in choosing their treatment. It didn’t matter much whether they made the decision on their own or together with the doctor—as long as they were involved. Most women felt they were allowed to be involved in the decision. Most doctors agreed with involving women, but many admitted it can be hard to decide together because they often prefer one specific treatment. That’s why it’s important for doctors to get training in how to support women in making the treatment choice that suits them best.
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.
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 | 0.021 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".