Bibliographic record
Abstract
If you prescribe hormones for menopausal hot flashes please take a minute to read this information. I am a recently retired physician with extensive experience in this practise area for 37 years. I am not getting paid to write this nor have I any connection with the pharmaceutical industry. As the director of a Medical Center and a staff physician at Kelowna General Hospital in British Columbia, Canada, I prescribed the Premarin family of drugs from 1974. I stopped in 1994 in favor of newer, purer, non-equine based estrogens. From 1994 to my retirement in 2011, not one patient in thousands of prescriptions written needed to be put back on a Premarin based drug. One or another of the newer fully approved estrogens always worked well. Premarin, at 73 years, is by far the oldest estrogen marketed for menopause. Only 17 % of it is bioidentical with human estrogen. An overwhelming 83 % is still a variable mixture including horse hormones of various types, metabolites, degradation byproducts, and impurities. The Premarin in cream form is the same
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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.392 | 0.237 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".