“Not Until the Baby Arrives”: When Delusional Pregnancy Impacts the Management of Uterine Cancer
Bibliographic record
Abstract
A 56-year-old postmenopausal woman (FB) was diagnosed with Grade 1 endometrioid adenocarcinoma but was refusing a hysterectomy. The patient understood she had cancer and understood treatment was required to treat the condition. However, due to a well-entrenched delusion of pregnancy associated with a diagnosis of schizophrenia, FB believed the surgery recommended by her gynecologist would harm the fetus she believed to be developing inside her womb. FB was deemed incapable of consenting to surgery due to her pregnancy delusion, which meant that the procedure could be performed with consent from a substitute decision maker (SDM). In this paper, we describe our team’s approach to the presenting moral dilemma consisting of a choice between forcing surgery on an unwilling patient or allowing her to die of a treatable illness.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".