Hemophilic pseudotumor.
Bibliographic record
Abstract
Bleeding diatheses are a hallmark of hemophilia. Hemophilic pseudotumor results from multiple episodes of hemorrhage into bones or soft tissue spaces. It is uncommon and is seen in severe cases of hemophilia only 1-2% of the time. Complications and symptoms arise due to pain and/or compression of surrounding structures. Pathologic fractures can be associated with intraosseous lesions and can result from bone destruction or resorption due to the chronic pressure of an osseous hemorrhage. Radiographs may demonstrate expansile lesions of the bones or increased soft tissue density that may be associated with extra osseous lesions. Bleeding may also occur within the joint space. These intra-articular hemorrhages can, over time, result in hemophilic arthropathy. The following case report demonstrates both an expansile lesion of a metacarpal as well as hemophilic knee arthropathy in an 11 year old.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".