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Record W4410264159 · doi:10.1016/j.artd.2025.101706

Femoral Head Sizing and Guide Placement in Hueter Anterior Approach Hip Resurfacing: A Surgical Technique

2025· article· en· W4410264159 on OpenAlexaff
Moritz Wagner, Chuan Kong Koh, George Grammatopoulos, Paul E. Beaulé

Bibliographic record

VenueArthroplasty Today · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineFemoral headHip resurfacingSizingHead (geology)SurgeryOrthodonticsTotal hip arthroplastyGeology

Abstract

fetched live from OpenAlex

Hip resurfacing (HR) preserves the proximal femur in young and active patients as well as providing excellent survivorship. There is a growing interest with the Hueter anterior approach (HAA) allowing to preserve the blood supply to the femoral head as well as limiting soft tissue dissection. Surgical technique for HAA HR differs mainly from posterior HR as the superior neck is not visible making current guides impractical. As such, the fovea capitis is highlighted as a key anatomic landmark for femoral pin placement when performing HR through HAA. The purpose of this article is to describe the surgical technique for femoral head sizing and rationale for using the fovea capitis for HR using HAA.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
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 head0.299
Teacher spread0.281 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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