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Record W3130087168 · doi:10.1016/j.eats.2020.11.015

Hybrid Ankle Reconstruction of Lateral Ligaments

2021· article· en· W3130087168 on OpenAlexaff
Kosui Iwashita, Yasuyuki Jujo, Ryota Inokuchi, Mark Glazebrook, James W. Stone, Masato Takao

Bibliographic record

VenueArthroscopy Techniques · 2021
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineAnklePercutaneousSurgeryArthroscopyLigamentMinimally invasive procedures

Abstract

fetched live from OpenAlex

Open anatomic reconstruction of the lateral ligament (AntiRoLL) of the ankle with a gracilis Y graft and the inside-out technique are commonly used and have evolved to minimally invasive surgery, including arthroscopic AntiRoLL (A-AntiRoLL) and percutaneous AntiRoLL procedures. A-AntiRoLL allows assessment and treatment of intra-articular pathologies of the ankle concurrently with stabilization. However, the A-AntiRoLL technique is technically demanding, especially in the process of calcaneofibular ligament reconstruction under subtalar arthroscopy. In contrast, the percutaneous AntiRoLL procedure is a simple concept that does not require the skill of an experienced arthroscopist but requires an extra skin incision to assess and treat intra-articular pathologies of the ankle. This study describes the application of a minimally invasive anatomic reconstruction technique-hybrid AntiRoLL-for chronic instability of the ankle that does not require advanced arthroscopic technique to assess and treat intra-articular pathology simultaneously.

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 categoriesnone
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 score0.333
Threshold uncertainty score0.341

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)0.0000.000

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 head0.014
GPT teacher head0.286
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2021
Admission routes1
Has abstractyes

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