Bibliographic record
Abstract
Major depressive disorder (MDD) commonly occurs with several sleep disorders, including hypersomnia, breathing or limb-related sleep disturbances, and most notably chronic insomnia. A bidirectional relationship exists between sleep and mood problems, and both issues often warrant timely clinical management. However, there are several assessment- and treatment-related complexities that complicate the clinical management of such patients. For example, there are several overlapping symptoms for MDD and both insomnia and hypersomnia, and the two sleep conditions are both listed as possible symptoms in the diagnostic criteria for MDD. This has led to a well-documented problem of underrecognizing and undertreating these significant disorders in the context of MDD. Moreover, certain effective depression treatments can actually worsen the coexisting sleep disorder. Understanding and treating both disorders (i.e., MDD and the co-occurring sleep disorder) is imperative for effective clinical care. Almost all (i.e., up to 90%) of those with depression report sleep problems. This chapter provides an overview of the etiologic, assessment, and treatment issues inherent in this very large, highly prevalent group.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.016 |
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".