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Record W4389804723 · doi:10.29173/comp72

Effects of Neurofibromatosis Type 1 on Pseudoarthrosis and the Forensic Implications

2023· article· en· W4389804723 on OpenAlexvenueno aff
Alyssa Hildebrandt

Bibliographic record

VenueCOMPASS · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsnot available
Fundersnot available
KeywordsNeurofibromatosisNeurofibromin 1Neurofibromatosis type IEtiologyMedicineIdentification (biology)BiologyPathology

Abstract

fetched live from OpenAlex

Pseudoarthrosis is the presentation of false joints or non-union, primarily in long bones. While pseudoarthrosis most often presents as the lack of union between parts of a fractured or broken bone, it is also suspected that pseudoarthrosis results from a congenital disorder of unknown origin. While the etiology is unclear, there is an association with a congenital defect in neurofibromatosis type 1 gene through the neurofibromin protein. This defect occurs during the germ line mutation of conception and is often identified during early childhood. Pseudoarthrosis is more often difficult to detect in adults as it is frequently corrected during childhood. Germ line defects along the neurofibromin protein often result in a lack of communication from the reticular activating system (RAS) molecular signaling, which, in turn, impacts skeletal osteon production. Consequently, osseous lesions may develop and lead to a lack of cellular control over osteoblast signaling in the long bones of the skeleton. Understanding the origins of congenital pseudoarthrosis and its relationship with neurofibromatosis type 1 could lead to a better understanding of both conditions. Understanding these conditions can be useful for interpreting forensic contexts. These contexts include having the histological knowledge of osteology in these diseases for identification purposes. Given that both neurofibromatosis type 1 and pseudoarthrosis are uncommon conditions, their presence may aid forensic practitioners in determining cause of death or identification of the individual. This paper reviews new advances towards understanding the root cause of pseudoarthrosis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.270
Teacher spread0.248 · 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 designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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