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: The present study explores the clinical utility and sensitivity of actigraphy as an outcome measure in the treatment of chronic insomnia. DESIGN: Following a screening-adaptation night, polysomnography, actigraphy, and sleep-diary data were collected in the sleep laboratory for 2 baseline nights and 2 posttreatment nights. SETTING: A university-affiliated sleep disorders center. PARTICIPANTS: Seventeen participants with chronic primary insomnia. Mean age was 41.6 years. INTERVENTIONS: Participants took part in a treatment protocol investigating different sequential treatments for insomnia (these results are reported elsewhere). MEASUREMENTS AND RESULTS: Compared to polysomnography, both actigraphy and sleep-diary instruments underestimated total sleep time and sleep efficiency and overestimated total wake time. Also, actigraphy underestimated sleep-onset latency while the sleep diary overestimated it as compared to polysomnography. Actigraphy data were more accurate than sleep-diary data when compared to polysomnography. Finally, actigraphy was sensitive in detecting the effects of treatment on several sleep parameters. CONCLUSIONS: These results suggest that actigraphy is a useful device for measuring treatment response and that it should be used as a complement to sleep-diary evaluation.
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) | 0.001 | 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