Bibliographic record
Abstract
Despite all the devastating effects, wars have made some very significant positive impact in the development of cardiac surgery. Heart is an organ that cannot be stopped even for a minute, there by making it very difficult for the surgeons to operate. The wars of the Twentieth Century, particularly the two Great wars produced a significant number of patients with heart injury to reach surgeons operating tables. This gave the surgeons a unique opportunity to study, operate, practice and research cardiac surgical patients. Notable names including Wilfred Bigelow, Walton Lillehei, John Gibbon, Christian Cabrol, Vasilii Kolessov and Alexander Vishnevsky all were world war veterans and utilized their wartime experience later on in the development of cardiac surgery. Had there not been the two great wars, the development of cardiac surgery would have been delayed probably by years. DOI: http://dx.doi.org/10.3329/cardio.v4i2.10463 Cardiovasc. j. 2012; 4(2): 174-178
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".