Bibliographic record
Abstract
Ipilimumab is a monoclonal antibody against cytotoxic T lymphocyte-associated molecule-4 and is thought to promote anti-tumor activity by enhancing cell mediated immunity. It is one of the few therapies shown to improve overall survival in metastatic melanoma. Given its mechanism of action, the drug is associated with significant immune-related adverse events with the gastrointestinal system being commonly involved. Our patient is a 22-year-old female with stage IVA melanoma on ipilimumab therapy who presented with fever, diarrhea and abdominal pain. She gave a history of recent travel to a wedding where several other guests in attendance had also developed diarrheal illnesses. Her colonoscopy and pathology were consistent with ipilimumab-induced colitis. Her stool culture returned positive for Salmonella enteritides. She was treated with prednisone and ciprofloxacin with resolution of her symptoms. In our case, we describe ipilimumab-induced colitis where an infectious pathogen was identified with temporal relationship to symptoms and could be suggestive of a causal relationship. Gastroenterology Research. 2014;7(1):28-31 doi: http://dx.doi.org/10.14740/gr594e
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 | 0.003 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".