MétaCan
Menu
Back to cohort
Record W2161714187 · doi:10.1212/wnl.0b013e3182735c8b

Child Neurology: Krabbe disease

2012· article· en· W2161714187 on OpenAlexafffund
Jennifer N. Gelinas, Pamela Liao, Anna Lehman, Sylvia Stöckler, Sandra Sirrs

Bibliographic record

VenueNeurology · 2012
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsBC Children's Hospital
FundersBC Children's HospitalFaculty of Medicine, University of British Columbia
KeywordsKrabbe diseaseLeukodystrophyMedicineNeurologyDiseasePediatricsGaucher's diseaseWhite matterGlucocerebrosidasePathologyPsychiatryMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Krabbe disease (glucocerebrosidase [GALC] deficiency) is an inherited leukodystrophy resulting in altered myelination. Most patients have early-infantile onset of disease (<6 months) characterized by rapid neurologic deterioration and death. Approximately 10%–15% of patients have late onset

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)0.000
metaresearch head score (Gemma)0.001
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: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.004

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 head0.021
GPT teacher head0.296
Teacher spread0.275 · 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

Citations6
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueNeurologySame topicLysosomal Storage Disorders ResearchFrench-language works237,207