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Record W1968359330 · doi:10.1136/gut.2006.107953

Paraoxonase 1, 2 and 3 DNA variants and susceptibility to childhood inflammatory bowel disease

2006· letter· en· W1968359330 on OpenAlexaff
Rocío Sánchez, Émile Lévy, Ernest G. Seidman, Devendra Amre, Florin Costea, Daniel Sinnett

Bibliographic record

VenueGut · 2006
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicParaoxonase enzyme and polymorphisms
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsParaoxonasePON1Oxidative stressInflammatory bowel diseasePathogenesisInflammationGenetic predispositionImmunologyPathophysiologyDiseaseReactive oxygen speciesMedicineBioinformaticsBiologyGeneticsGeneInternal medicineGenotype

Abstract

fetched live from OpenAlex

MSI tumours and also think that we should spare no efforts in trying to understand the molecular basis of the response to chemotherapy in that kind of tumour.The importance of DNA methylation in prognosis and chemotherapy response is not completely known, and, in our opinion, research in that area is scarce and inconclusive.In our own and other published studies, most of the tumours that show a lack of efficacy of 5-FU in MMR-deficient tumours are sporadic (and therefore with MSI caused by hypermethylation of the promoter region of MLH1), suggesting that the lack of efficacy of adjuvant 5-FU on MSI tumours could happen in both hereditary and sporadic MSI tumours.Further studies on the role of hypermethylation in prognosis and chemotherapy response in colorectal cancer are under way in our series.Soon, we will be able to report the 5-year follow-up analysis in these series, which will bring forth new and interesting data on this topic.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

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