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
Depression is a disease that concerns a growing group of people: children, youth, adult and the elderly. Statistics indicate that 5 up to 20% of the population of the globe suffer from it. Women suffer from this disease four times more often than men. Depression is such a mental state in which the patient has a deep sense of meaninglessness of life and sees the world in the gloomy colors. Such a person is depressed, their mood affects the job, interpersonal relationships, and learning process. They have a feeling of hopelessness, worthlessness, pessimism and sadness. In many cases patients suffering from depression contemplate or attempt suicide. They cannot notice the solution of their problems. Moreover, they cannot imagine their future, if they were stopped in time. For such people only the past and their past failures matter. Time stopped for them. In addition to endogenous depression, there is also autumn-winter depression, which is a seasonal disease. The first symptoms appear in early autumn. The improvement of the patients’ mental health is observed from February whereas the next symptoms of the disease appear spontaneously in March and April. Winter depression is caused by a prolonged night in autumn and winter and this fact results in the prolonged synthesis of melatonin by the pineal gland, which affects the development of depression.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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