Steps through the Revision Process of Reproductive Health Sections of ICD-11
Bibliographic record
Abstract
In 2007, the WHO initiated an organizational structure for the 11th revision of the International Classification of Diseases (ICD). Effective deployment of ICD-derived tools facilitates the use and collection of health information in a variety of resource settings, promoting quantitatively informed decisions. They also facilitate comparison of disease incidence and outcomes between different countries and different health care systems around the world. The Department of Reproductive Health and Research (RHR) coordinates the revision of chapters 14 (diseases of the genitourinary system), 15 (pregnancy, childbirth, and puerperium), and 16 (conditions originating in the perinatal period). RHR convened a technical advisory group (TAG), the Genito-Urinary Reproductive Medicine (GURM) TAG, for the ICD revision. The TAG's work reflects the collective understanding of sexual and reproductive health and is now available for review within the ICD-11 revision process.
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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 | 0.158 | 0.226 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.012 | 0.008 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".