Bibliographic record
Abstract
INTRODUCTION: Darier disease (DD) and Hailey-Hailey disease (HHD) are rare autosomal dominantly inherited genodermatoses with mutations in the respective genes, ATP2A2 and ATP2C1, that encode the respective calcium adenosine triphosphatases SERCA2 and PMRI/SPCA1. Lithium is an effective therapy used in psychiatry as prophylaxis against recurrent mania and to treat acute schizoaffective, impulsive, and alcoholic disorders. METHODS: We discuss a patient with DD who claimed that her skin condition had flared after she was administered lithium therapy for bipolar disorder. DISCUSSION AND CONCLUSIONS: DD may flare after lithium therapy, an association that has rarely been reported. Not uncommonly, DD has been observed to coexist with affective disorders, with reports of the bipolar disorder susceptibility locus cosegregating with a separate DD gene. A mechanism by which lithium worsens disease has recently been studied in rats. DD's coexistence with affective disorders and the mechanisms by which lithium may cause exacerbation of DD and HHD are reviewed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".