Clinical diagnostic criteria for premenstrual syndrome and guidelines for their quantification for research studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Premenstrual syndrome (PMS) encompasses a variety of symptoms appearing during the luteal phase of the menstrual cycle. Although PMS is widely recognized, the etiology remains unclear and it lacks definitive, universally accepted diagnostic criteria. To address these issues an international multidisciplinary group of experts evaluated the current definitions and diagnostic criteria of PMS and premenstrual dysphoric disorder (PMDD). Following extensive correspondence, a consensus meeting was held with the aim of producing updated diagnostic criteria for PMS and guidelines for clinical and research applications. This report presents the conclusions and recommendations of the group. It is hoped that the criteria proposed by the group will become widely accepted and eventually be incorporated into the next edition of the World Health Organization's International Classification of Diseases (ICD-11). It is also hoped that the proposed guidelines for quantification of criteria will be used by clinicians and investigators to facilitate diagnostic uniformity in the field as well as adequate treatment modalities when warranted.
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.
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 | 0.004 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it