Dr. Dessein, <i>et al</i> reply
Bibliographic record
Abstract
To the Editor: We thank Drs. Ravindran and Hughes for their encouraging comments on our study in which we identified determinants of dyslipidemia in public and private healthcare patients with established rheumatoid arthritis (RA)1. Ravindran and Hughes further estimated the proportion of patients with RA that should receive preventive treatment for cardiovascular disease (CVD) according to the Joint British Societies (JBS) guidelines2. As recommended3, they further adjusted for the presence of RA inflammation by doubling the multifactorial 10-year risk score as estimated using the modified JBS2 CVD risk calculator2. Of the 65 patients investigated, 57% had JBS-defined cardiovascular comorbidities indicative of a necessity for CVD prevention2. Upon multifactorial 10-year risk evaluation2 in the remaining patients, this proportion of patients increased to 63% and upon further adjustment for the presence of RA inflammation3, it increased to 72%. Thus, about 3 in 4 of their patients with RA needed cardiovascular risk management. The … Address correspondence to Dr. Dessein. E-mail: Dessein{at}telkomsa.net
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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 | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.019 | 0.025 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".