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Record W4392591902 · doi:10.1016/j.gimo.2024.101448

P549: A novel team approach to evaluating and counseling children with variants of uncertain significance on microarray

2024· article· en· W4392591902 on OpenAlexaff
Julia Su, Amy Sirkin, Ali Bashar, Melissa Cornthwaite, G. Latino, Marjan M. Nezarati

Bibliographic record

VenueGenetics in Medicine Open · 2024
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsYork University
Fundersnot available
KeywordsMicroarrayComputational biologyMicroarray analysis techniquesPsychologyComputer scienceMedicineBiologyGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Chromosomal microarray is a recommended first line investigation for clinical genetic testing in children with autism spectrum disorders (ASD), intellectual disability (ID), and developmental delay (DD). Variants of uncertain significance (VUS) are common findings on microarray. Copy number variants (CNVs) reported to be of uncertain significance may still confer various risks for the proband and family members, including susceptibility to ASD/ID/DD, carrier status for recessive conditions, and possible association with other health conditions.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.036
GPT teacher head0.308
Teacher spread0.272 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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