Dr. Dessein, <i>et al</i> reply
Bibliographic record
Abstract
To the Editor: We thank Dr. Agilli and colleagues1 for their interest in our study of 217 patients with rheumatoid arthritis (RA)2. This investigation documented an independent relationship of leptin concentrations with carotid artery plaque in those with but not without a large cardiovascular disease (CVD) risk burden as represented by the presence of traditional risk factors2. In our data analysis, we took into account the potential confounding or/and mediating effect of patient characteristics including a range of demographic features, lifestyle factors, anthropometric measures, RA characteristics, systemic inflammation, and kidney function. Interestingly, we found that the leptin concentration/atherosclerosis relationship was driven by the glomerular filtration rate and body mass index2. The included potential confounding or/and mediating variables in our analysis had been identified in a previous study that also showed an independent association of leptin concentrations with surrogate markers of early atherogenesis among young patients with RA in the … Address correspondence to Dr. P.H. Dessein, P.O. Box 1012, Melville 2109, Johannesburg, South Africa. 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 | 0.002 | 0.019 |
| 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 | 0.016 | 0.021 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".