Poster Session I
Bibliographic record
Abstract
Introduction: Depressive episodes/symptoms of bipolar I disorder (BPD-I) are commonly misdiagnosed as major depressive disorder (MDD). We developed a brief, self-rated, pragmatic tool that screens for manic symptoms and identifies BPD-I risk factors (eg, age of onset) to reduce misdiagnosis of BPD-I as MDD. Method: Existing questionnaires and risk factors were identified through a targeted literature search to select concepts thought to differentiate BPD-I from MDD. Individuals with self-reported BPD-I or MDD (N = 12) participated in cognitive debriefing interviews to test and refine item wording. An observational study was conducted to evaluate the tool's predictive validity. Participants with clinical interview-confirmed diagnoses of BPD-I or MDD completed a 10item screening tool and other questionnaires. Data were analyzed to identify a smaller subset of items with optimized sensitivity and specificity.
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How this classification was reachedexpand
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 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".