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Record W2415344127 · doi:10.1002/ccr3.591

Infantile spasms with periventricular nodular heterotopia, unbalanced chromosomal translocation 3p26.2 ‐10p15.1 and 6q22.31 duplication

2016· article· en· W2415344127 on OpenAlexafffund
Kevin Jones, Shelly K. Weiss, Berge A. Minassian

Bibliographic record

VenueClinical Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoMcMaster UniversityMcMaster Children's Hospital
FundersHospital for Sick Children
KeywordsMedicineCandidate geneGene duplicationExome sequencingHeterotopia (medicine)Comparative genomic hybridizationCopy-number variationMicroarrayChromosomal translocationRare diseaseEpilepsyDiseaseBioinformaticsPathologyGeneGeneticsChromosomeBiologyPhenotypePsychiatry

Abstract

fetched live from OpenAlex

Patients presenting with infantile spasms, dysmorphic features, and periventricular nodular heterotopia may benefit from genetic copy number variation microarray, or whole-exome sequencing to identify candidate genes. This will allow personalized diagnosis and prognostication and the eventual understanding of single and combined gene functions in brain health and disease.

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 score0.081
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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

Citations3
Published2016
Admission routes2
Has abstractyes

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