Bibliographic record
Abstract
To the Editor: Gout is the most common arthritic disease in the world, with increasing incidence. An increase in hospitalization for gout has been shown for the last 2 decades in North America1,2. We evaluated the trend for hospitalization of gout in western Sweden from 2002 to 2012 and compared it to the total hospitalization rate. Hospitalization trends for gout were studied using data from the healthcare consumption register in the Western Swedish Health Care Region (WSHCR) from January 1, 2002, through December 31, 2012. Patients 18 years and older were included who were hospitalized during the study period with a principal discharge International Classification of Diseases (10th ed) diagnosis of gout (M10), and all unique hospitalizations were identified. We calculated annual … Address correspondence to Dr. M. Dehlin, Department of Rheumatology and Inflammation Research, Guldhedsgatan 10A, University of Gothenburg, S-413 45 Gothenburg, Sweden. E-mail: mats.dehlin{at}vgregion.se
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".