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Record W2281757178 · doi:10.1177/1071100716633648

Percutaneous Ankle Reconstruction of Lateral Ligaments (Perc-Anti RoLL)

2016· article· en· W2281757178 on OpenAlexaff
Mark Glazebrook, James W. Stone, Kentaro Matsui, Masato Takao, Jorge Batista, Thomas Bauer, James Calder, Woo Jin Choi, Ali Ghorbani, Siu Wah Kong, Jón Karlsson, Jin Woo Lee, Peter G. Mangone, Frederick Michels, Caio Nery, Satoru Ozeki, Christopher J. Pearce, Anthony Perera, Hélder Pereira, Bas Pijnenburg, Fernando Raduan, Y. Tourné

Bibliographic record

VenueFoot & Ankle International · 2016
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineAnkleLigamentPercutaneousSurgery

Abstract

fetched live from OpenAlex

Chronic ankle instability following ankle sprains causes pain and functional problems such as recurrent giving way. If non-operative treatments fail, then operative ankle stabilization may be required to improve pain and function. Operative options include both anatomic repair and reconstruction techniques. Anatomic repair techniques utilize pre-existing ligament remnants that are either reattached or tightened to improve stability of the ankle. If pre-existing ligament structures have been damaged beyond repair or are insufficient to allow repair, then it is appropriate to choose an anatomic reconstructive technique. These procedures have traditionally been performed using open techniques and have been successful in restoring function and decreasing pain. In 2005, an open anatomic reconstruction technique using a gracilis Y-graft and Inside-out technique was reported with good results. In the current paper we describe a Percutaneous Reconstruction of the Lateral Ligaments (Perc-Anti RoLL), which is a new minimally invasive surgical technique for anatomic reconstruction of the lateral ligaments of the ankle that utilizes the anatomic Y-graft and Inside-out technique. The Perc-Anti RoLL technique can be performed percutaneously using fluoroscopic guidance.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.998

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)0.0020.000

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations44
Published2016
Admission routes1
Has abstractyes

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