Egr-1 mediates the suppressive effect of IL-1 on PPARg expression in human OA chondrocytes
Bibliographic record
Abstract
1):O5 Epidemiology: Fibromyalgia (FM) is found worldwide, with an estimated prevalence of 1% to 4% of the general population.In Japan epidemiological surveillance showed number of the patient up to1.66% in population-based studies in 2003, following 2.04% by internet surveillance in 2011.3,500 Japanese patients with our FM data base, frequent age of onset is 35 to 55 years, estimated prevalence of FM, reaching 40% in woman of age 30 to 50 years old.FM occurs in children and adolescents, although only a few epidemiologic studies.Pathogenesis: FM was initially one the kind for inflammatory muscle pain.Following this concept FM was classified so called soft-tissue rheumatism.Now FM is recognized CNS sensitization following functional pain caused by neuroendocrine system and stress.The abundant neuroendocrine and pain regulation descending pathway and sensitization of pain receptor target molecules such as α 2 δ ligand, LPA and collapsing response mediator, where currently protein (CRMP) family have been revealed.New diagnosis, provisional ACR 2010 criteria: 1990, ACR proposed FM criteria based on 18 tender point sites on digital palpation with exclusive differential diagnosis.In 2010, provisional criteria is score based on total score of severity for pain and somatic symptom (2010 ACR criteria).Based
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".