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Record W2147732842 · doi:10.1158/1055-9965.epi-15-0422

The Association between Glyceraldehyde-Derived Advanced Glycation End-Products and Colorectal Cancer Risk

2015· article· en· W2147732842 on OpenAlexaff
So Yeon Kong, Masayoshi Takeuchi, Hideyuki Hyogo, Gail McKeown‐Eyssen, Sho‐ichi Yamagishi, Kazuaki Chayama, Peter J. O’Brien, Pietro Ferrari, Kim Overvad, Anja Olsen, Anne Tjønneland, Marie‐Christine Boutron‐Ruault, Nadia Bastide, Franck Carbonnel, Tilman Kühn, Rudolf Kaaks, Heiner Boeing, Krasimira Aleksandrova, Antonia Trichopoulou, Παγώνα Λάγιου, Effie Vasilopoulou, Giovanna Masala, Valeria Pala, Maria Santucci de Magistris, ­Rosario ­Tumino, Alessio Naccarati, H. Bas Bueno-de-Mesquita, Petra H. Peeters, Elisabete Weiderpass, J. Ramón Quirós, Paula Jakszyn, María‐José Sánchez, Miren Dorronsoro, Diana Gavrila, Eva Ardanáz, Martin Rutegård, Hanna Nyström, Nicholas J. Wareham, Kay‐Tee Khaw, Kathryn E. Bradbury, Isabelle Romieu, Heinz Freisling, Faidra Stavropoulou, Marc J. Gunter, Amanda J. Cross, Elio Ríboli, Mazda Jenab, W. Robert Bruce

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersInstituto de Salud Carlos IIIWorld Cancer Research FundMedical Research CouncilInstitut Gustave-RoussyDeutsche KrebshilfeMutuelle Générale de l'Education NationaleAssociazione Italiana per la Ricerca sul CancroNordForskHellenic Health FoundationStavros Niarchos FoundationCancerfondenInstitut National de la Santé et de la Recherche MédicaleWorld Health OrganizationEuropean CommissionBundesministerium für Bildung und ForschungLigue Contre le CancerNational Institute for Health and Care ResearchJapan Society for the Promotion of ScienceCancer Research UKBritish Heart FoundationWellcome TrustDeutsches Krebsforschungszentrum
KeywordsGlycationColorectal cancerGlyceraldehydeMedicineOncologyCancerInternal medicineAssociation (psychology)Cancer researchChemistryBiochemistryPsychologyReceptor

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.263
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
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 head0.041
GPT teacher head0.370
Teacher spread0.329 · 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 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

Citations39
Published2015
Admission routes1
Has abstractyes

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