A dramatic case of a woman discovered after 7 months of untreated catatonia
Bibliographic record
Abstract
Described is an unusually severe case of catatonia in the context of a major depressive episode. The patient is a 49-year-old Caucasian female who was living with her husband in an urban apartment. In March 2015, she experienced a major depressive episode in the context of financial hardship after being dismissed from her job. She became catatonic and did not leave her apartment for 7 months. For the first 4 months she lay in bed, then after losing bowel and bladder continence, she was transferred by her husband to the bedroom floor where she lay prone for another 3 months before paramedics were notified. She subsequently underwent a 4-month admission to an intensive care unit, surgical ward, and psychiatric ward. This case shows the extreme extent of psychiatric and physical sequelae that can result from prolonged delay of treatment of severe catatonia in the context of depression.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".