Bibliographic record
Abstract
A 47 year old man, who had recently experienced an exacerbation of inflammatory bowel disease, which had resolved after administration of infliximab, was admitted to hospital with abdominal pain and severe bloody diarrhoea. On the night of his readmission, he developed painful swelling of the right thigh. After an initial assessment the on call doctor thought that the likely diagnosis was deep vein thrombosis, and a therapeutic dose of low molecular weight heparin was given pending venous Doppler ultrasound evaluation. No mention was made in the patient’s healthcare records of any findings on physical examination. During the evening, the pain and swelling in his leg rapidly became more severe, and two hours later a second doctor was called to review him. On examination at this point he seemed unwell, with cool peripheries, tachycardia, and hypothermia. His right leg was extremely swollen and very tender to palpation, with an area of violaceous discoloration on the lateral aspect of the thigh. In addition, a resonant note was elicited on percussion of this area. Urgent portable radiography was arranged to evaluate the soft tissue planes of his right leg (figure⇓).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".