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Record W2981924921 · doi:10.1038/s41439-019-0080-8

Exploration of intermediate-sized INDELs by next-generation multigene panel testing in Han Chinese patients with breast cancer

2019· article· en· W2981924921 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHuman Genome Variation · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersBeijing Nova ProgramMinistry of Education, Culture, Sports, Science and TechnologyJapan Society for the Promotion of ScienceInstitute of GeneticsNational Natural Science Foundation of ChinaBeijing Municipal Science and Technology CommissionGuangzhou Medical University
KeywordsIndelBreast cancerOncologyMedicineGeneticsCancerInternal medicineBiologyGeneGenotype

Abstract

fetched live from OpenAlex

Abstract Multigene panel testing via next-generation sequencing focuses on the detection of small-sized mutations, such as single nucleotide variants and short insertions and deletions (INDELs). However, intermediate-sized INDELs have not been fully explored due to technical difficulties. Here, we performed bioinformatics analyses to identify intermediate-sized INDELs in 54 cancer-related genes from 583 Han Chinese patients with breast cancer. We detected a novel deletion–insertion in a translational variant of PTEN (also known as PTENα ) in one patient.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.530

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 head0.036
GPT teacher head0.256
Teacher spread0.220 · 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