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Record W1992849510 · doi:10.1177/1553350611412057

Enhancing Sternal Closure Using Kryptonite Bone Adhesive

2011· article· en· W1992849510 on OpenAlex
Paul W.M. Fedak, Aleksey Kasatkin

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurgical Innovation · 2011
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineSternumSurgeryDehiscenceAdhesiveWound closureWound dehiscenceMedian sternotomyClosure (psychology)Wound healing

Abstract

fetched live from OpenAlex

A novel approach to enhance the mechanical stability of primary sternal closure is described. An osteoconductive bone adhesive is used to augment conventional wire cerclage. More than 30 patients have undergone primary sternal closure using Kryptonite bone adhesive. All patients recovered well with no adverse side effects or adhesive-associated complications. Adhesive-enhanced sternal closure may accelerate functional recovery after sternotomy, improve early outcomes and prevent major sternal complications such as deep sternal wound infection and dehiscence. The technique is simple, safe, and expedient.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.081
GPT teacher head0.327
Teacher spread0.246 · 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