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Record W2122887867 · doi:10.1080/13547500902968538

Evaluation of radiation-induced chromosome instability in subjects with a family history of gastric cancer

2009· article· en· W2122887867 on OpenAlexfundno aff
Francesca Marcon, Domenico Palli, Alessandra Zufferli, Elisa Mazzoli, Ester Siniscalchi, Francesco Sera, Calogero Saieva, Riccardo Crebelli

Bibliographic record

VenueBiomarkers · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsMicronucleus testMicronucleusCancerFamily historyChromosome instabilityGenetic predispositionInternal medicineMedicineGenome instabilityPhysiologyGeneticsBiologyOncologyDNA damageChromosomeDNADiseaseGeneToxicity

Abstract

fetched live from OpenAlex

Gastric cancer (GC) shows a familiar predisposition which is largely unexplained. In this study the hypothesis that radiation sensitivity is implicated in the familiar predisposition to GC was investigated by means of the cytokinesis-block micronucleus assay. Data indicate that a family history of GC is not associated with any of the biomarkers investigated and does not interact with the demographic variables considered. When study subjects were dichotomized around the median age, a significant prevalence of micronuclei was observed in older subjects. Age and both spontaneous and radiation-induced micronuclei were linearly correlated. The effect of age was not modified by gender or smoking habits.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.279
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 source (direct Gemma or distilled Codex), 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

Citations7
Published2009
Admission routes1
Has abstractyes

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