13th International Conference on Behçet’s Disease, May 24–27, 2008, Pörtschach am Wörthersee, Austria
Bibliographic record
Abstract
jrheum081008Behçet's disease (BD) is a multisystemic, chronic, relapsing inflammatory disorder classified among the vasculitides, the cause of which is still unknown.Since 1964, international meetings on BD were held in Rome, Istanbul, Tokyo, London, Rochester, Paris, Tunis, Reggio Emilia, Seoul, Berlin, Antalya, and last in Lisbon in 2006.At the recent conference in Pörtschach, Austria, 170 clinicians and scientists from 22 countries met to continue the multidisciplinary exchange on this disease.More than 130 abstracts were presented, providing the most recent data on epidemiology, diagnostic methods, clinical manifestations, pathogenesis, and therapeutic options in BD.A selection of these reports is summarized here.EPIDEMIOLOGY BD is a universal disorder, with varying prevalences in countries near the so-called Silk Road as well as in non-Silk Road countries.N. Dilsen reviewed the current data on prevalence rates in the USA (0.33 per 100,000), Germany (0.55-20.75 per 100,000), England (0.64 per 100,000), Sweden (1.18 per 100,000), Portugal (1.53 per 100,000), Italy (2.5 per 100,000), Japan (13.5 per 100,000), Saudi Arabia (20.0 per 100,000), Iran (100.0 per 100,000), and Turkey (80-370.0 per 100,000).New data from Olmsted County, Minnesota, USA, suggest a higher prevalence of BD (5.2 per 100,000) in this region, comparable to that in Southern Europe (K.T. Calamia).In BD cohorts from silk-route countries men are predominately affected, whereas women are overrepresented in groups from European countries and the USA (K.E.Sharquie, M. Smiti-Khanfi, report of the International Team for the Revision of the International Criteria for Behçet's Disease; 2006).
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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.179 | 0.077 |
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".