Cutting the “Gordian Knot” — Cardiac Involvement in Primary Sjögren Syndrome
Bibliographic record
Abstract
Sjögren syndrome (SS) is a systemic autoimmune disease typically characterized by inflammatory involvement of the exocrine glands1. The association of SS with an increased risk of cardiovascular disease (CVD) including manifestations such as stroke and myocardial infarction has been demonstrated by numerous previous studies1. Bringing classical CVD risk factors under control through appropriate therapeutic interventions has traditionally been the primary approach that has been reiterated in most practice guidelines regarding the prevention of CVD in patients with SS2. Yet, it would appear that these measures are not adequate by themselves to halt progression to CVD in these patients, as demonstrated by previous epidemiologic evidence3. It would thus appear that more mechanisms that are as of yet unaccounted for play an important role in this context. This complex conundrum is reminiscent of the ancient Greek legend of the “Gordian knot,” a knot tied by Gordius, the king of Phrygia, rumored to be impossible to untie except … Address correspondence to Prof. Dr. S.I. Mavrogeni, Onassis Cardiac Surgery Center, Leof. Andrea Siggrou 356, Kallithea 17674, Athens, Greece. Email: sophie.mavrogeni{at}gmail.com.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".