Towards Elucidation of the Epidemiology of the Rheumatic Diseases in Mexico. COPCORD Studies in the Community
Bibliographic record
Abstract
Rheumatic diseases constitute a group of more than 200 clinical conditions affecting the musculoskeletal system and in most cases a number of other organs and systems. As a group, rheumatic diseases are highly prevalent in most populations of the world and their consequences span from joint pain and swelling to severe musculoskeletal and multisystemic diseases, leading to poor function, impaired health, and reduced survival. Epidemiologic studies describing the frequency, distribution, and determinants of diseases in human population are the initial strategies for disease control1. Despite the fact that the rheumatic diseases impose an important burden of illness in developed countries, little is known about the prevalence and impact of this group of diseases in developing countries. Not surprisingly, the rheumatic diseases are frequently unrecognized by health authorities and are not usually included in healthcare programs2. Consequently, …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".