Geriatric Cardiology: Moving Beyond Learning by Osmosis
Bibliographic record
Abstract
Population aging is a global phenomenon, leading not only to an increasing prevalence of cardiovascular disease, but also to greater rates of multimorbidity and geriatric syndromes such as dementia, frailty, and functional decline.1 Up to 80% of persons aged 65 years and older, and living with cardiovascular disease, have at least 1 concurrent geriatric condition, rendering them vulnerable to adverse outcomes from cardiovascular therapy and hospitalization.1 These demographic shifts, in conjunction with the proliferation of novel diagnostic modalities, pharmaceuticals, and minimally invasive therapeutic options, present significant challenges to clinicians as they strive to provide optimal person-centred care to older patients.
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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 | 0.012 | 0.045 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.046 | 0.037 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".