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Record W2107443897 · doi:10.3171/ped.2004.101.2.0226

Spontaneous regression of congenital spinal lipomas of the conus medullaris

2004· article· en· W2107443897 on OpenAlexaff
Abhaya V. Kulkarni, Alain Pierre‐Kahn, Michel Zérah

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2004
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsConus medullarisMedicineMagnetic resonance imagingAsymptomaticConusRadiologyLipomaSpinal cordSpinal dysraphismSpina bifidaSurgeryAnatomy

Abstract

fetched live from OpenAlex

Spinal lipomas of the conus (SLCs) are relatively common closed neural tube defects. Many of these lesions are treated surgically at the time of diagnosis and, therefore, little has been documented about their true natural progression. In addition, the changes, if any, of SLCs in pediatric patients have not been widely studied or documented using magnetic resonance (MR) imaging. In this report, the authors describe two asymptomatic infants in whom serial MR imaging revealed substantial spontaneous regression of SLCs, a phenomenon that has been very rarely reported in the literature. These are the first MR imaging-documented cases of near-complete spontaneous regression of SLCs in infants.

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)0.000
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 score0.205
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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

Citations6
Published2004
Admission routes1
Has abstractyes

Explore more

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