Bibliographic record
Abstract
Remission is a concept that rheumatologists have accepted as an explicit goal for treatment of their patients with inflammatory disease. With its Latin origins ( remittere , to send back), remission has been used as a noun with different meanings. According to the Oxford English Dictionary , one meaning is a cancellation of a debt, charge, or penalty. However, more related to medicine, remission relates to a temporary diminution of the severity of disease or pain. In our field of rheumatology, remission is a disease state that we envision when treating inflammatory rheumatic diseases such as gout or rheumatoid arthritis (RA). During the last decades, we have become more ambitious when treating our patients. The advent of biologic and other targeted therapies, or persistent treatment of gout with urate-lowering drugs, has resulted in lower disease burden in patients with inflammatory rheumatic diseases, and in a milder disease course, has reduced or abrogated disease activity. The goal of remission was studied early in RA,1,2 beginning with definitions of remission. Disease activity instruments were based on the concept that individual components, such as swollen and tender joints, acute-phase reactants (erythrocyte sedimentation rate and C-reactive protein), as well as disease activity evaluation by physicians or healthcare providers, could be aggregated into a single score, which then reflects disease activity. For example, there is the Disease Activity Score in 28 joints (DAS28),3 the Clinical Disease Activity Index (CDAI), or the Simplified Disease Activity Index … Address correspondence to Dr. T. Uhlig, Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Postbox 23 Vinderen, N-0319 Oslo, Norway. Email: Tillmann.uhlig{at}medisin.uio.no.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".