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Record W1966151305 · doi:10.1002/cncr.26049

Cancer genome variation in children, adolescents, and young adults

2011· review· en· W1966151305 on OpenAlexafffund
Thomas J. Hudson

Bibliographic record

VenueCancer · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsOntario Institute for Cancer Research
FundersOntario Ministry of Research and InnovationCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchHospital for Sick ChildrenTerry Fox Research InstituteLance Armstrong FoundationPublic Health AgencyOntario Institute for Cancer ResearchPublic Health Agency of CanadaLivestrong FoundationPartenariat Canadien Contre Le CancerArmstrong Foundation
KeywordsMedicineCancerGenomeChildhood cancerGenetic syndromesPediatricsGeneticsInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract This mini‐review describes the rapid changes in genome technologies that are leading to comprehensive views of genetic alterations in cancer, and presents high‐level thoughts on ways to accelerate translation into clinical medicine. Issues that are more relevant to children, adolescents, and young adult patients with cancer are highlighted. Cancer 2011;117(10 suppl):2262–7. © 2011 American Cancer Society.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.268
Teacher spread0.256 · 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 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

Citations5
Published2011
Admission routes2
Has abstractyes

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