Unique and Transdiagnostic Symptoms of Hypomania/Mania and Unipolar Depression
Bibliographic record
Abstract
Extensive research has been conducted to isolate features that distinguish bipolar spectrum disorders from unipolar depression. Therefore, we identified latent symptom dimensions that are unique versus shared across these disorders by examining the joint structure of hypomanic/manic and depressive symptoms in two large samples (i.e., 647 community adults; 1,370 outpatients with unipolar depression or bipolar disorder history). Results across studies suggested that (a) many hypomanic/manic and depressive symptoms (e.g., irritability) are transdiagnostic, but also that (b) symptoms such as increased energy and euphoric mood define a latent specific positive activation dimension that appears more specific to bipolar disorder. We discuss how these results indicate that some symptoms may be more optimal to target than others when trying to distinguish bipolar disorder from unipolar depression, as well as how the identification of relatively disorder-specific symptom types may optimally guide future research on key mechanisms linked to hypomania/mania and depression.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".