Validation of a Novel Closed Chest Experimental Model of Post-Infarction Left Ventricular Remodelling
Bibliographic record
Abstract
myocardium in the setting of coronary stenosis, hype-to dyskinesia in the LAD region, which exhibited normalization at low dose dobutamine and sustained improvement or biphasic reaction at high dose DSE.PET showed "mismatch" (group II/a; n = 11) and "matched normal" (group II/b; n = 17) patterns.Histology confirmed the viability except in one case.PET. morphomeuy and echo results PET PET Mqhometry ECHO ECHO NH3 FIX3 Area stenosis Fractional Shortening Anterior wr I. 57111* 57*11* 98 * 3%' 41& 8%! 25 i 6%' II/a 84+4* 103 f 5' 76ztl18' 48 f 13% 42 f 7%' lyb.87f6* 89 zt 6' 61 f 17%* 62 f 14%! 52 f 131* l P < 0.05 group I vs II; +p < 0.05 group Iya vs II/b; p < 0.05 group I YS Ivb WI? wall thickening Conclusion:A non-surgical porcine coronary stenosis model, resulting in chronically decreased myocardial function, with residual inotropic reserve and viable myocardium was developed in group II.Regarding to the slightly decreased myocardial blood flow with PET, we suppose that chronic stunning with gradually decreasing coronary reserve played an important role in the development of the LV dysfunction.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".