MétaCan
Menu
Back to cohort
Record W2916763379 · doi:10.1097/btf.0000000000000218

Asymmetric Z-Tendon Shortening to Maximize Excision of Abnormal Tendon Tissue: A Technique Tip to Treat Elongated Tendons With Pathology

2019· article· en· W2916763379 on OpenAlexaff
Alexander Stathakis, Cai Wadden, Mark Glazebrook

Bibliographic record

VenueTechniques in Foot & Ankle Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTendonMedicineAchilles tendonFlexibility (engineering)AnatomyScar tissueNative tissueSurgeryTissue engineeringBiomedical engineering

Abstract

fetched live from OpenAlex

Operative treatment for a diseased or elongated Achilles tendon often involves resection of diseased tissue and Achilles tendon shortening. If the amount of diseased tissue is minimal, a traditional Z-shortening technique can be used to achieve appropriate tendon repair and function, which involves making an incision along the longitudinal axis mid-substance of the Achilles tendon. This technique is limited in its ability to resect abnormal tissue due to the placement of the incision traditionally along the midline of the tendon. In this chapter we describe an original modification of the Z-shortening technique to allow for the flexibility to resect pathologic tendon tissue and preserve more normal tissue. Level of Evidence: Diagnostic Level V. See Instructions for Authors for a complete description of levels of evidence.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.015
GPT teacher head0.281
Teacher spread0.265 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueTechniques in Foot & Ankle SurgerySame topicTendon Structure and TreatmentFrench-language works237,207