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
The population of the world is living longer. Currently, the average life expectancy is 78.9 and 72 years of age for women and men, respectively. By the year 2030, it is estimated that elderly people will make up approximately 17% of the total United States population. Our responsibility as physicians is, therefore, very clear. The care of this population must provide an acceptable quality of life and allow elderly people to enjoy living. This is where the question of sexuality plays an important part. Hormonal transition encompasses decreased levels of estrogen and testosterone, the latter being associated with decreased sexual libido, sensitivity, and response. Additional genitourinary effects associated with menopause include atrophic changes in the vagina, vulva, urethra, and neck of the bladder. Vaginal atrophy and diminished vaginal lubrication interfere mechanically with sexual comfort and pleasure. In addition to hormonal changes with aging, disease and associated medications may also negatively affect sexuality. Determining the impact of medications, both alone and in combination with others, on quality of life must be considered when providing comprehensive care for elderly patients.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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