Optimizing Patient Experiences and Outcomes: Proposal to Develop an Endometriosis Care Quality Collaborative in the United States
Bibliographic record
Abstract
Endometriosis is a chronic disease that is characterized by pain, infertility, and reduced quality of life. Despite varied treatment modalities, a high proportion of individuals experience debilitating symptoms and develop comorbid pain conditions. In this manuscript, we describe the current state of endometriosis care in the United States and advocate for the establishment of an Endometriosis Care Quality Collaborative that would involve high-volume surgical management and multidisciplinary approaches to clinical care and research. We present quality and ethical arguments and outline a plan to design and implement accredited centers of expertise. This work was completed by members of the Endometriosis Care Quality Collaborative Taskforce and involved collaboration between members of multiple national societies, including the AAGL, the North American Society for Pediatric and Adolescent Gynecology, the Society of Gynecologic Surgeons, and the Society of Reproductive Surgeons.
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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 | 0.087 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.006 | 0.024 |
| Research integrity | 0.016 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 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".