Images - Sclerosing mesenteritis presenting with unilateral hydro-ureteronephrosis.
Bibliographic record
Abstract
Sclerosing mesenteritis (SM) is a rare benign condition that can have many different presentations, including abdominal pain, gastrointestinal symptoms, weight loss, or fever.1 The pathogenesis of this disease is not well-understood, but it may share a common etiology with other idiopathic primary inflammatory and fibrotic processes, such as mesenteric lipodystrophy (adipocyte necrosis) and mesenteric panniculitis (chronic inflammatory state).1 The reported prevalence is 0.6–2.5%, with a male to female ratio of 2 :1.1–4 The non-specific presentation can make the clinical diagnosis difficult. Abdominal exam can identify a mass in less than 50% of cases, while C-reactive protein (CRP) and erythrocytes sedimentation can be a way to follow its response to treatment.5,6 Abdominal contrasted enhanced computed tomography (CT) scan is the most sensitive imaging modality with two specific signs: “fat ring sign” and “tumor pseudocapsule.”4,7,8 To complete the diagnosis, a pathological examination is often required. This case report highlights how the non-specific presentation of SM can obscure the diagnosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".