Mechanical Ellgi/leeri/lg Deparrmellt. Ecole Polyreclll1iqllt of Montreal
Bibliographic record
Abstract
Becliuse of its superelasticity, shape memory. corrosion resistance. and biocompatibility. Nitinol is becomi ng increasingly popular for minimally invasi\\'e devices such as endoluminal stenlS. Despite several studies on ill vitro or;/1 vivo biocompatibiliy of NiTi. few studies have been conducted on the interactions of the material with blood. In this study. blood compatibility telits were conducted on NitinoJ and stainless steel stems using an ex \\·;IIQ. AV-shunt porcine model. We have demon-smned thilt Nitinol is significantly less thrombogenic than stainless steel as indicated by 1251_ human fi brinogen (p = 0.03) and I III_platelets (p = 0.01) quant ification. These differences may be related to the Nitinoltitanium-oxide rich surface layer that may prevem denaturation of fi brinogen and minimize platelet-rich thrombus fonnation with in the stem after impl:mtation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.349 | 0.126 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".