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Record W4412546496 · doi:10.1080/00085030.2025.2536417

Cam deformity of the hip and personal identification of unidentified remains: two case reports of forensic anthropological interest

2025· article· en· W4412546496 on OpenAlexvenueno aff
Laura Donato, Rossana Cecchi, Douglas H. Ubelaker, Jessika Camatti, Michele Treglia, Valentina Bugelli, Luigi Tonino Marsella

Bibliographic record

VenueCanadian Society of Forensic Science Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Forensic scienceDeformityHistoryMedicineArchaeologySurgeryBiologyEcology

Abstract

fetched live from OpenAlex

Cam-type deformity of the hip is a morphological change at the femoral head–neck junction, caused by abnormal contact with the acetabulum during hip flexion. It can result from both pathological conditions and repetitive physical stress. Case presentation study examines skeletal remains of two individuals, Subjects A and B, both showing signs of cam-type deformity. Subject A exhibited osteogenesis imperfecta of the sternum, degenerative arthritis in the thoracic vertebrae and patellae, and partial fusion of adjacent vertebral bodies with hyperostosis. These findings suggest diffuse idiopathic skeletal hyperostosis (DISH), which likely caused altered gait mechanics and uneven weight distribution, contributing to the deformity. Subject B showed bilateral Achilles enthesopathy and early patellar hyperostosis, indicating a history of intense physical activity. The cam-type deformity in this case was attributed to overuse syndrome. Cam-type deformities can arise from distinct causes, including systemic pathology and mechanical overuse. Recognizing such skeletal changes can offer valuable insights into an individual’s health and activity history, supporting efforts in forensic identification.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
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 head0.028
GPT teacher head0.316
Teacher spread0.287 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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