Early experience of aortic valve replacement with stentless porcine valve
Bibliographic record
Abstract
目的探讨无支架生物瓣的置入技术及其早期临床效果.方法对12例平均年龄65岁的主动脉瓣病变病人,选用St. Jude公司提供的Toronto SPV瓣膜,行主动脉瓣置换术.结果全组手术死亡1例,平均主动脉阻断时间(95.0±12.3)?min,其中单纯主动脉瓣置换者为(74.0±9.2)?min.术后1个月随访超声心动图显示均无主动脉瓣反流,跨瓣压差明显较其他人工瓣膜小,左心室舒张末期内径明显缩小,无栓塞、出血等并发症.结论尽管无支架生物瓣膜置入有一定难度,但其优良的血液动力学性能,提示其能提高病人的远期疗效.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".