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
Stroke is commonly followed by some form of psychiatric disturbance. Association and severity of depression at the 3rd and 12th months after stroke in patients and controls were compared. Two registers of stroke patients were maintained over 2 years period in two different centers--one in Barisal Town and other in Mitford Hospital, Dhaka. A total of 297 first-ever strokes were registered. These patients were called back at the 3rd and 12th month interview and assessment. Beck's Depression Inventory (BDI), with 10 as the cut off point for depression, was applied to 161 of 212 survivors at the 3rd month and to 156 of 195 survivors at the 12th month. At the 3rd month, 41% of patients and 18% of controls were depressed (P<.001) and the difference was maintained at the 12th month 42% versus 19% (P<.05). Univariate risk factors for depression at the 3rd month were female sex, severe prognostic score at the onset of stroke, age more than 70 years, family history of stroke and living alone after stroke. Depression was common among stroke survivors at the 3rd months and its rate did not decrease at 1 year follow-up. Depression could be decreased if post-stroke rehabilitation services are improved. After the development of depression earlier diagnosis and management help a lot to the patients and care givers.
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 | 0.020 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.062 | 0.003 |
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