CASE STUDY
Bibliographic record
Abstract
Actigraphy has been used in clinical pediatric populations for many years, including attention deficit-hyperactivity disorder and mood disorders to characterize circadian rhythms of motor activity, and as an alternative evaluation of sleep patterns. We present a case of an adolescent presenting with borderline personality disorder (BPD) and substance dependence for whom an investigation of sleep patterns using actigraphy and a sleep diary appeared to be useful in managing the case. Actigraphy contributed to the diagnostic clarification and disconfirmed the relevance of prescribing medication to this patient for sleep problems. Actigraphy is a cost-effective measure to evaluate sleep/wake patterns allowing for several-day-periods of observation. From the patient standpoint, actigraphy is less invasive than more in-depth investigation as polysomnography. Actigraphy might be a promising tool in those clinical occurrences when disentangling sleep disturbances from primary diagnosis or substance use is required.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".