Effect of number of episodes on wellbeing and functioning of patients with bipolar disorder
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
OBJECTIVE: To examine the relationship between number of episodes and inter-episode functioning in bipolar disorder. METHOD: Sixty-four euthymic subjects with bipolar affective disorder completed the Medical Outcomes Questionnaire Short Form and the Global Assessment of Functioning Scale. Goodness-of-fit models were used to define the relation between episode number and level of function. RESULTS: Non-linear logarithmic and power relations best described the association between number of episodes and outcome. Number of past depressions was a stronger determinant of outcome than past manias. CONCLUSION: Strategies to minimize the number of episodes experienced by patients with bipolar illness must be pursued aggressively if function is to be maintained, with particular attention given to minimizing episodes of depression.
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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) | 0.000 | 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 it