Bibliographic record
Abstract
Infliximab is a chimeric anti-tumour necrosis factor-alpha monoclonal antibody that has been studied for the treatment of Crohn's disease and rheumatoid arthritis. In several placebo controlled, randomized clinical trials and open trials, 771 patients have been given infliximab (a further 192 received placebo). Follow-up for safety has included the time of study (12 weeks after the last infusion), plus three additional years. Acute infusion reactions (headache, fever, chills, urticaria, chest pain) were seen in 17% of patients receiving infliximab compared with 7% of those receiving placebo. While infections were reported more frequently overall in the patients given infliximab (26% over 27 weeks of follow-up versus 16% of placebo-treated patients over 20 weeks of follow-up), there was no increased risk of serious infections. There was no difference in the overall mortality rate between the groups. While low titres of autoantibodies developed in less than 10% of patients, drug-induced lupus was seen in less than 1%, with these cases resolving upon discontinuation of the drug. Overall, infliximab showed an acceptable safety profile.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".