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Record W2508966418 · doi:10.1101/cshperspect.a026724

Next-Generation Sequencing and the Return of Results

2016· review· en· W2508966418 on OpenAlexafffundabout
Bartha Maria Knoppers, Minh Thu Nguyen, Karine Sénécal, Anne Marie Tassé, Ma’n H. Zawati

Bibliographic record

VenueCold Spring Harbor Perspectives in Medicine · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsThe Quebec Population Health Research NetworkMcGill UniversityMcGill University and Génome Québec Innovation Centre
FundersPartenariat Canadien Contre Le Cancer
KeywordsConfusionLimitingPopulationMedicinePsychologyEngineeringEnvironmental health

Abstract

fetched live from OpenAlex

The impact of next-generation sequencing (NGS) on the issue of return of results is defying clear policy guidance and creating international confusion. Limiting ourselves to the return of results revealed by NGS (including incidental findings) in adults, children, family members of deceased individuals, and population studies, we describe and contrast emerging policy positions in Europe, Canada, and the United States. Until there are clear, scientific, and professional standards and practical policy, both researchers and clinicians cannot be faulted for being either hesitant or pressured to return NGS results.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.056
GPT teacher head0.310
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2016
Admission routes3
Has abstractyes

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