Bibliographic record
Abstract
Juvenile idiopathic arthritis is a broad term that describes a clinically heterogeneous group of arthritides of unknown cause, which begin before 16 years of age.This term encompasses several disease categories, each of which has distinct clinical signs and, in some cases, genetic background.The cause of disease is still poorly understood but seems to be related to both genetic and environmental factors.Prognosis has greatly improved as a result of substantial progresses in disease management. The most important new development has been the introduction of drugs such as anticytokine agents, which constitute a valuable treatment option for patients who are resistant to conventional antirheumatic agents.Further insights into the disease pathogenesis and treatment will be provided by the continuous advances in the understanding of the mechanisms connected to the immune response and inflammatory process, and by the development of more efficient new drugs.L’arthrite juvénile idiopathique (AJI) est un terme générique qui désigne un groupe hétérogène de rhumatismes inflammatoires de cause inconnue touchant l’enfant de moins de 16 ans.Le terme AJI inclus différentes catégories de la maladie, chacune ayant un aspect clinique distinct et dans certains cas un terrain génétique différent.La cause de la maladie est mal connue mais semble liée à des facteurs génétiques et environnementaux.Le pronostic s’est nettement amélioré grâce aux progrès récents dans la prise en charge de la maladie et notamment à l’introduction des traitements biologiques dans les formes en échec de traitement conventionnels.Une meilleure connaissance de la physiopathologie et des traitements permettra dans un futur proche de mieux comprendre les mécanismes intimes liant la réponse immunitaire et le processus inflammatoire et le développement de nouveaux traitements encore plus efficaces.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".