Lung abscess in a non-compliant patient with Crohn�s disease
Bibliographic record
Abstract
A 66-year-old man was admitted to the emergency department due to malaise, fatigue and anorexia for the last 2 weeks. He presented no fever, no respiratory or gastrointestinal symptoms. The patient had been previously diagnosed with Crohn's Disease (CD) (A2L1L4B1 of Montreal Classification) 10 years before, when he presented complaints of watery diarrhea and unexplained weight loss. Despite refusing to start treatment, in the last staging exams performed 5 years before the admission (colonoscopy and magnetic resonance imaging) the patient was in deep remission. Nevertheless, he frequently missed his medical appointments and his disease had not been monitored since then. He denied previous use of corticosteroids, past abdominal surgery or previous CD related hospital admissions. He also denied smoking habits or chronic lung disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".