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Record W7096077730

Mechanical Ellgi/leeri/lg Deparrmellt. Ecole Polyreclll1iqllt of Montreal

2009· article· en· W7096077730 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsnot available
Fundersnot available
KeywordsEx vivoThrombusCorrosionLayer (electronics)Materials testing
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.241
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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