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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 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)0.000
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
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 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

Citations44
Published2016
Admission routes1
Has abstractyes

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