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Record W4229797417 · doi:10.1201/9781003042099-ch12

Ankle instability

2021· book-chapter· en· W4229797417 on OpenAlexaboutno aff
Daniel Marsland

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsInstabilityAnklePhysical medicine and rehabilitationMedicineMechanicsPhysicsAnatomy

Abstract

fetched live from OpenAlex

Medial ankle ligament injuries usually occur in combination with syndesmosis injuries, or ankle fracture-dislocations, and less frequently in isolation. In this chapter, the authors provide an overview covering the management of both acute and chronic lateral ligament injuries, syndesmosis injuries and medial ankle sprains. Most deltoid ligament injuries occur in association with high energy ankle fractures or syndesmotic injuries, when the talus is forced into either external rotation or abduction. Clinical examination of an acute ankle injury should initially follow the Ottawa ankle rules to rule out a fracture. Radiographs should be taken to rule out a Maisonneuve type injury if there is proximal fibula tenderness and also to exclude Tillaux-type or posterior malleolar avulsion fractures, which can be present in up to 50% of such injuries. Deltoid ligament injuries frequently occur in association with ankle fracture dislocations or high-grade syndesmosis injuries. There is medial swelling and palpation may help differentiate a deltoid ligament injury from a spring ligament injury.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score0.394

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1180.053

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 head0.037
GPT teacher head0.257
Teacher spread0.220 · 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
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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