Foundational Science and Mechanistic Insights for a Shared Disease Model: An Expert Consensus
Bibliographic record
Abstract
Pelvic floor disorders (PFDs) are complex conditions that impact millions of women worldwide. It is estimated that PFDs will affect approximately 30%–50% of women older than 50 years and incur a 20% lifetime risk of undergoing at least 1 surgical procedure to repair either pelvic organ prolapse (POP) or stress urinary incontinence (SUI) by age 80 years.<sup>1</sup> The surgical costs alone are estimated to exceed $10 billion annually,<sup>1–6</sup> and this does not account for the cost of nonsurgical and conservative treatments. Although a large body of epidemiological literature provides important information regarding the risk factors for PFDs, the pathogenesis of POP and SUI continues to be poorly understood. Consequently, POP and SUI are associated with significant health care expenditure primarily due to lack of preventive measures, high failure rate of available interventions, and the need for retreatments. Furthermore, the long-standing gaps in mechanistic insights into the pathophysiology of POP and SUI represent one of the major barriers to the development of scientifically rational preventive and therapeutic strategies. Women's health across the life span depends on a better understanding of the anatomy and physiology of the female pelvic floor (PF) and the causal links between the multifactorial epidemiological risk factors and POP/SUI.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".