MétaCan
Menu
Back to cohort

Preliminary Radiological Assessment of Age‐related Change in the Trabecular Structure of the Human<i>Os Pubis</i>*

2010· article· en· W1571827036 on OpenAlexaff
Andrew Wade, Andrew J. Nelson, Greg Garvin, David W. Holdsworth

Bibliographic record

VenueJournal of Forensic Sciences · 2010
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsRadiological weaponMedicineForensic anthropologySurgeryArchaeologyHistory

Abstract

fetched live from OpenAlex

This preliminary study examines correlations between age-at-death and changes in the trabecular architecture of the human os pubis, utilizing continuous, quantitative data from plain film radiography, computed tomography (CT), and micro-CT scans of 65 male innominates. Radiography provides nondestructive options for assessment, digital preservation, and presentation of human skeletal remains; important for forensic and culturally sensitive archaeological materials, which must remain unmodified for opposing experts, future researchers, or repatriation and reburial. Radiographic techniques permit analysis of remains that cannot be disarticulated (e.g., religious proscription, mummies), and trabecular measures provide data where traditional surface indicators are obscured or damaged. Potentially, robust predictive models derived herein achieve R-values of 0.522, 0.447, and 0.731, respectively. Further testing of these methods may validate these techniques as further lines of evidence in age estimation, with the potential to improve on the accuracy of traditional qualitative techniques by providing quantitative, continuous variables in predicting skeletal age-at-death.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.348
Teacher spread0.316 · 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

Citations39
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Forensic SciencesSame topicSports injuries and preventionFrench-language works237,207