Cadaveric training model for the management of type B aortic dissection using thoracic endovascular aortic repair along with the PETTICOAT technique
Bibliographic record
Abstract
This model gives residents and fellows practice in the surgical repair of a type B aortic dissection using thoracic endovascular aortic repair implantation by the Provisional Extension To Induce Complete Attachment (PETTICOAT) technique. A human cadaveric model was created to simulate the procedure. A Dacron graft was pulled into the aorta distal to the left subclavian artery using two glidewires. Imaging confirmed the creation of a second lumen by the graft positioned within the aorta to simulate an aortic dissection. The PETTICOAT technique was then implemented with the implantation of a Cook Dissection stent. This proved the method to be a reproducible means to train residents and fellows in type B aortic dissection repair using the PETTICOAT technique.
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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 | 0.001 |
| 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".