Calcifying fibrous tumor involving the paraspinal region of a child: A rare case report
Bibliographic record
Abstract
Introduction: Calcifying fibrous tumor (CFT) is a rare, benign tumor characterized by hyalinized fibrous tissue with distinctive psammomatous and dystrophic calcifications. It is a soft-tissue tumor found in various organ systems. There are only a few reported cases of CFT involving the paraspinal region. Case Report: We report a 28-month-old female with a paravertebral soft tissue mass. Ultrasound and magnetic resonance imaging (MRI) revealed a well-defined, lobulated lesion in the left paravertebral muscles extending approximately from T9 to L2. The patient had a needle core biopsy and a surgical resection of the tumor. The pathologic diagnosis reported was CFT of the longissimus thoracic muscle. Conclusion: Postoperative recovery was uneventful and there was no recurrence after follow-up.
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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 | 0.001 |
| 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 | 0.000 |
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".