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
Bipolar disorders are prevalent, disabling, and costly diseases that often pursue an inexorable course. Underdetection, misdiagnosis, and diagnostic delay frequently and unnecessarily interfere with appropriate treatment of the disorder. Mortality studies in bipolar disorder underscore the relevance of both unnatural and natural causes of death, inviting the need for improved preventative and primary health care for bipolar patients. The treatment framework for bipolar disorder must recognize and anticipate the multidimensionality and comorbidity of this illness. Pharmacotherapy is necessary, with multiple concomitant medications required for most patients. In addition, adjunctive psychosocial interventions offer enhanced compliance and may beneficially influence psychopathological and functional outcomes. This article emphasizes the public health concern of bipolar disorder, and provides tactics to enhance detection of cryptic bipolar states, underscore the clinical and pathophysiological relevance of comorbidity in bipolar disorder, and provide a framework for multimodality therapy for this condition.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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