Experimental design for testing and analysis of z-type self-expanding endovascular stents
Bibliographic record
Abstract
Stent migration and endoleak are common failure mechanisms for endovascular repair. Both can be partially attributed to a lack in understanding of the mechanical properties of endovascular stents. An alternative radial extensometer and machine vision system have been developed to both raise the quality of published radial force data, as well as to create and present an option for economical stent testing. The apparatus has shown promise as an accurate, repeatable, and reliable system for stent evaluation. Previous results by Johnston et al. examining z-type endovascular stents have been verified. Results showed that smaller stent diameters exhibit higher radial force than larger diameter stents, contrary to the expected outcomes due to increasing drag on increasing diameter stents. Stent orientation has been shown to contribute up to 8.8% error in radial force introduced by non-symmetrical brazed joints. The presence of a stent cover is shown to have negligible impact on stent radial force data above 10% reduction in area.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".