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Record W1518537456 · doi:10.1520/jfs15572j

Spontaneous Fractures in the Differential Diagnosis of Fractures in Children

2002· article· en· W1518537456 on OpenAlexaff
CRMM Torwalt, A. Thambirajah Balachandra, C Youngson, Joseph de Nanassy

Bibliographic record

VenueJournal of Forensic Sciences · 2002
Typearticle
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsHealth Sciences CentreUniversity of ManitobaOffice of the Chief Medical Examiner
Fundersnot available
KeywordsDifferential diagnosisDifferential (mechanical device)Poison controlInjury preventionForensic engineeringMedicineHuman factors and ergonomicsSuicide preventionMedical emergencyEngineeringPathology

Abstract

fetched live from OpenAlex

A four-year-old male with cerebral palsy and spasticity, as a result of a non-accidental head injury sustained when he was two years old, died of pneumonia. Postmortem full body X-rays revealed fractures of varying ages of the left humerus and both femora, tibiae, and fibulae. This led to a thorough investigation of the case by the Office of the Chief Medical Examiner. Child abuse, accidents, metabolic bone disorders, other primary or secondary diseases of the bones, and pathological fractures were ruled out. The final diagnosis was spontaneous fractures secondary to osteopenia. The term spontaneous fractures is used to define fractures that occur without any known external cause, especially in cerebral palsy patients with spasticity.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.273
Teacher spread0.258 · 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 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

Citations19
Published2002
Admission routes1
Has abstractyes

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