Bibliographic record
Abstract
A cute myocardial infarction (AMI) is the leading cause of death in developed countries; 1 however, in-hospital mortality from this cause has been declining over the last three decades. 2This reduction in mortality coincides with the improvement in health and living standards and with new treatments like thrombolysis and new interventions like percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG).Secondary and primary prevention strategies have contributed significantly and the age-adjusted mortality is expected to continue to decline with further improvements in treatments, better uptake of primary and secondary prevention strategies and also with further improvement in our ability to recognise this challenging disease very early in its course.The success of treatment rests on: 1) identification of patients in the very early stages of AMI; 2) implementation of treatment to recanalise the occluded artery; 3) access to early defibrillation and 4) admission to properly monitored coronary care or intensive care units (CCU or ICU) for the
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".