Bibliographic record
Abstract
Heart failure is a chronic and progressive disorderthat is characterized by frequent hospital admissions and high annual mortality rates (25%–40%).1 Both the incidence and prevalence of heart failure have increased during the past 3 decades, and they will continue to increase. This increase is related to ad-vances in diagnostic techniques in addition to medical and surgical therapies that have improved survival rates in pa-tients with cardiovascular disease. Our aging population contributes further to this increase. Heart failure affects more than 400 000 Canadians, with over 50 000 new cases occurring annually.1 In this issue (page 1033), Debbie Ehrmann Feldman and colleagues review trends in Montreal in admissions to hos-pital due to congestive heart failure in individuals aged 65 years or more.2 Between 1990 and 1997, the annual rate of admissions to hospital for this disorder increased by
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.024 | 0.018 |
| Insufficient payload (model declined to judge) | 0.118 | 0.037 |
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".