Experimental Study of the TAI QING<sup>TM</sup> Single-Hub Patent Foramen Ovale Occluder.
Bibliographic record
Abstract
Aim: single-hub occluder for patent foramen ovale (PFO) in preclinical animal experiments. Methods: single-hub occluder was implanted in the animals with PFO. Three animals were sacrificed at 1, 3, 9 and 12 months post-implantation, respectively, to evaluate the macroscopic anatomical structure and pathological conditions. Results: single-hub occluder was successfully implanted in all 12 Labrador retrievers (100%). No implant-related complications were detected during the operation and follow-up. The occluder remained stable in its implant location. At 1 month post-implantation, the surfaces of both discs was covered with a translucent layer. Over time, the surface of the occluder became covered with an opalescent membrane, and the tissue surrounding the occluder gradually thickened. Histological and electronic microscopy analysis revealed the presence of endothelial cells and collagen fiber deposition in the tissue with increasing implantation time. Furthermore, at 12 months post-implantation, successful re-puncture was performed. Conclusions: single-hub occluder was safe and effective in the animal model. The results support further investigations in large animal models and human clinical trials.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".