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Record W4385271314 · doi:10.1053/j.gastro.2023.07.015

Germline Determinants of Esophageal Adenocarcinoma

2023· article· en· W4385271314 on OpenAlexaffabout
Minyi Lee, George Eng, Anna Handte-Reinecker, Alvin Jeon, E Stratulat, Rachid Zagani, Martin S. Taylor, Steffen Rickelt, Dmitriy Kedrin, Anupam Batra, Ardeshir Z. Hashmi, Norman S. Nishioka, Chin Hur, Lipika Goyal, Fateh Bazerbachi, Lawrence Zukerberg, V.S. Deshpande, Ömer Yılmaz, Manish Gala

Bibliographic record

VenueGastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsCambridge Memorial HospitalGrand River Hospital
FundersCleveland ClinicMassachusetts Institute of TechnologyNational Institute of Diabetes and Digestive and Kidney DiseasesAmerican College of GastroenterologyMassachusetts General HospitalElsa U. Pardee Foundation
KeywordsHiatal herniaAdenocarcinomaEsophageal adenocarcinomaEsophagusMedicineObesityInternal medicineGermlineCancerOncologyGastroenterologyGeneBiologyGeneticsDisease

Abstract

fetched live from OpenAlex

The risk of progression for Barrett’s esophagus (BE) is estimated to range from 0.12% to 0.5% per year.1 Identification of clinical risk factors, such as age, sex, obesity, smoking, presence of hiatal hernia, and length of BE, are insufficient to wholly account for the few individuals who progress from BE to adenocarcinoma.2 To explain some of the unaccounted for risk, we hypothesized that a significant fraction of individuals with BE who progress to adenocarcinoma harbor pathogenic germline mutations in cancer-predisposing genes.

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)0.000
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.028
GPT teacher head0.329
Teacher spread0.302 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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