The Role of Digoxin in Heart Failure
Bibliographic record
Abstract
Dr. Ali Ahmed from the University of Alabama at Birmingham moderated the topic Role of Digoxin in Heart Failure with Drs. Mihai Gheorghiade from the Northwestern University, William Wehrmacher from Rush University and Michel White from the Montreal Heart Institute participating. The discussion focused primarily on: (1) the role of digoxin in patients receiving ACE inhibitor or beta blocker therapy, (2) clinical trial data and digoxin toxicity, (3) use of digoxin in patients with advanced heart failure, (4) the rarity of continuing education on use of digoxin, (5) an historical perspective of the evolution of the use of digoxin, (6) changes in treatment of HF patients which may allow for use of digoxin, (7) use of digoxin in women, (8) use of digoxin with end stage renal disease, and (9) contraindications of the use of digoxin. (Med Roundtable Cardiovasc Ed. 2010;1(3):176-181) ©2010 FoxP2 Media, LLC
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".