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Record W2326783416 · doi:10.1097/bpb.0b013e32834c316d

Total hip arthroplasty to treat congenital musculoskeletal abnormalities in the juvenile Down Syndrome hip

2011· review· en· W2326783416 on OpenAlexaff
Drew W. Taylor, Matthew P. MacDonald, Yona Kosashvili, Allan E. Gross

Bibliographic record

VenueJournal of Pediatric Orthopaedics B · 2011
Typereview
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineAvascular necrosisSlipped capital femoral epiphysisLimitingHip painSurgeryArthroplastyFemoral headComplicationPopulationPhysical therapy

Abstract

fetched live from OpenAlex

Down Syndrome can result in musculoskeletal abnormalities of the hip at an early age. Avascular necrosis of the femoral head can occur as a result of slipped capital femoral epiphysis causing the patient a great deal of pain, limiting the ability to ambulate. Despite the benefits that this patient group can receive from the surgery, surgeons may be apprehensive to operate. It is our experience that these patients benefit greatly from arthroplasty without complication. In this report, we present a total hip replacement to treat avascular necrosis in an adolescent and address the concerns that surgeons may have in treating this patient population.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.030
GPT teacher head0.305
Teacher spread0.275 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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