Cognitive Behavior Therapy for Insomnia in Those with Depression
Bibliographic record
Abstract
Cognitive Behavior Therapy for Insomnia in Those with Depression is the book for clinicians who recognize that insomnia is more often a comorbid condition that merits separate treatment attention. These clinicians know that two thirds of those who present for depression treatment also complain of significant insomnia and that one third of such patients are already taking sleep medication, and they may be familiar with the research showing that treating insomnia is often important in the management of depression. But what strategies should clinicians use for treating insomnia? How can motivation be enhanced? What about medications? Students and professionals alike will find the pages of Cognitive Behavior Therapy for Insomnia in Those with Depression replete with advanced tools to address the adherence problems often encountered in this group, and they’ll come away from the book with a wealth of techniques for improving both sleep and overall symptom management as well as for treating the insomnia that occurs in comorbid disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".