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Record W2231913376 · doi:10.2106/jbjs.o.00109

Hip Dysplasia in the Young Adult

2016· review· en· W2231913376 on OpenAlexaff
Luca Gala, John C. Clohisy, Paul E. Beaulé

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2016
Typereview
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineOsteoarthritisAcetabular labrumLabrumDysplasiaRadiographyHip dysplasiaCartilageOsteotomySurgeryRadiologyAnatomyPathologyArthroscopy

Abstract

fetched live from OpenAlex

Hip dysplasia is a leading precursor of osteoarthritis and is seen in 20% to 40% of patients with osteoarthritis of the hip. An increase in mechanical stress on the cartilage matrix with failure of the acetabular labrum represents the major pathomechanism of degeneration. Because the prevalence of associated femoral deformities is high (>50%), the structural anatomy of the dysplastic hip must be assessed in multiple planes using radiographs and, if needed, advanced imaging modalities. Acetabular osteotomy (periacetabular and/or rotational) is the most commonly used procedure for the treatment of the majority of dysplastic hips in adults. Modern total hip replacement remains an excellent option for the more arthritic joints. Difficulties can arise from anatomical abnormalities and previous operations.

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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.049
GPT teacher head0.312
Teacher spread0.262 · 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
GenreReview

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

Citations286
Published2016
Admission routes1
Has abstractyes

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