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Record W2152280563 · doi:10.1136/jmg.37.12.933

Growth in North American white children with neurofibromatosis 1 (NF1)

2000· article· en· W2152280563 on OpenAlexaff
Jacek Szudek

Bibliographic record

VenueJournal of Medical Genetics · 2000
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMacrocephalyNeurofibromatosisMedicineShort staturePopulationPediatricsDemographyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To analyse the distributions of and generate growth charts for stature and occipitofrontal circumference (OFC) in neurofibromatosis 1 (NF1) patients. DESIGN: Cross sectional database survey. SETTING: The National Neurofibromatosis Foundation International Database (NFDB) includes clinical information on NF1 patients from 14 participating centres in North America. SUBJECTS: A total of 569 white, North American, NF1 patients, 55% female and 45% male. MAIN OUTCOME MEASURES: Stature and OFC measurements of NF1 patients were compared to age and sex matched population norms using z score standardisation and centile curves. RESULTS: The distributions of stature and OFC are shifted and unimodal among NF1 patients; 13% of patients have short stature (>/=2 standard deviations below the population mean) and 24% have macrocephaly (OFC >/=2 standard deviations above the population mean). CONCLUSIONS: Alterations of stature and OFC are not limited to NF1 patients with frank short stature or macrocephaly.

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)0.000
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 score0.023
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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

Citations110
Published2000
Admission routes1
Has abstractyes

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