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Record W2810534688 · doi:10.21037/aoj.2018.06.01

Arthroscopy of the pediatric hip

2018· article· en· W2810534688 on OpenAlex
Sasha Carsen, Diego Tourn, Meaghan Marien, Kevin Smit

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Joint · 2018
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsHip arthroscopyFemoroacetabular impingementMedicineArthroscopySeptic arthritisScope (computer science)SurgeryArthritisComputer science

Abstract

fetched live from OpenAlex

The use of hip arthroscopy in pediatric patients has grown considerably in recent years, and many pediatric and adolescent hip pathologies are now being addressed surgically using various arthroscopic techniques. Visualization of the articular surface through a minimally invasive approach makes it a particularly powerful tool, and surgical indications have grown to include everything from labral tears and femoroacetabular impingement through to septic arthritis and deformity. It is important for the pediatric hip arthroscopist to be comfortable with the necessary tools and techniques, but even more so to understand the technical limitations and situations where complementary open and reconstructive approaches are indicated. As techniques and equipment continue to improve and develop, we can expect pediatric hip arthroscopy to progressively expand in scope and popularity.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.207

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 head0.081
GPT teacher head0.350
Teacher spread0.269 · 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