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
OBJECTIVE: To better understand premenstrual exacerbations of schizophrenia in women and weigh treatment options. METHOD: A PubMed literature search was conducted, using the search terms 'schizophrenia', 'psychosis', 'menstrual exacerbation', 'hormones' and assessing relevance to premenstrual exacerbation of schizophrenia symptoms. RESULTS: Exacerbations are usually distinguishable from periodic or menstrual psychosis, a relatively rare condition. Controversy continues about whether low estrogen periods of the month lead to an increase in schizophrenia symptoms among women of reproductive age or whether some women suffer from both schizophrenia and premenstrual dysphoric disorder (PMDD). No treatment trials of specific interventions have been conducted so that physicians must decide on a case-by-case basis whether to raise antipsychotic doses premenstrually, try estrogens or estrogen/progesterone combinations or selective estrogen receptor modulators, or target PMDD symptoms. CONCLUSION: Clinicians need to be aware of premenstrual symptom aggravation in a large minority of women with schizophrenia. Treatment strategies will depend on the nature of the symptoms that are exacerbated. Optimal treatment needs to be adjusted to the individual woman.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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