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Record W2056845331 · doi:10.5435/jaaos-21-07-s16

Clinical Diagnosis of Femoroacetabular Impingement

2013· article· en· W2056845331 on OpenAlexaff
Jeffrey J. Nepple, Heidi Prather, Robert T. Trousdale, John C. Clohisy, Paul E. Beaulé, Sion Glyn‐Jones, Young‐June Kim

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2013
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFemoroacetabular impingementMedicinePathognomonicPhysical examinationPhysical examClinical historyClinical diagnosisPhysical therapyRadiologySurgeryIntensive care medicinePathologyDisease

Abstract

fetched live from OpenAlex

The diagnosis of femoroacetabular impingement (FAI) syndrome is made based on a combination of clinical symptoms, physical examination findings, and imaging studies. A detailed assessment of each of these components is important to differentiate FAI from other intra- and extra-articular hip disorders. Clinical and physical examination findings must be viewed collectively because no single pathognomonic finding exists for FAI. Nevertheless, common components of the history and physical examination do suggest a diagnosis of FAI.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.344
Teacher spread0.310 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations78
Published2013
Admission routes1
Has abstractyes

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