Bibliographic record
Abstract
UNLABELLED: We would like to report a case of a 29-year-old male patient who presented with multiple lymphadenopathy and vague symptoms of low grade fever, cough, weight loss, rashes, vomiting, dry eyes and dry mouth. Physical examination revealed submandibular lymphadenopathy, vasculitic rashes over both lower limbs, and parotid gland enlargement. Blood investigations showed mild anemia with leukocytosis, predominantly eosinophilia and high erythrocyte sedimentation rate and C-reactive protein. Computed tomography of the neck, thorax and abdomen showed bilateral submandibular, submental adenopathy, mediastinal and para-aortic lymphadenopathy with generalized reticulonodular densities in both lower lobes. There were hepatomegaly and bilateral enlarged kidneys with renal cyst. Histopathological examination from the cervical lymph node later revealed non-caseating granuloma, consistent of sarcoidosis. Patient responded well to prednisolone 50 mg daily with subsequent reduction in the size of cervical lymphadenopathy and parotid swelling. KEYWORDS: Lymphadenopathy; Granuloma; Sjogren; Sarcoidosis.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".