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Record W2799525853 · doi:10.1111/nyas.13680

Gastrointestinal pathologists’ perspective on managing risk in the distal esophagus: convergence on a pragmatic approach

2018· review· en· W2799525853 on OpenAlexaff
Andrew M. Bellizzi, Sara Hafezi‐Bakhtiari, Maria Westerhoff, Esmeralda Celia Marginean, Robert H. Riddell

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2018
Typereview
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsMount Sinai HospitalUniversity of OttawaUniversity Health Network
Fundersnot available
KeywordsEsophagusMedicineBarrett's esophagusDysplasiaPerspective (graphical)General surgeryGastroenterologyInternal medicineCancerAdenocarcinomaComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Here, we discuss recent updates and a continuing controversy in the diagnosis and management of Barrett's esophagus, specifically the recommendation that the irregular Z-line not be biopsied, the diminished status of ultrashort-segment Barrett's esophagus, the evidence basis for excluding and including the requirement of goblet cells for the diagnosis of Barrett's esophagus, and the conclusion that histologically confirmed low-grade dysplasia is best managed with endoscopic ablation rather than surveillance. We reference the American Gastroenterological Association and College of Gastroenterology and the British Society of Gastroenterology guidelines throughout, with the thesis that the field is converging on the concept of applying scarce medical resources to the diagnosis, surveillance, and therapy of patients most likely to derive benefit.

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)0.008
metaresearch head score (Gemma)0.019
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 score0.008
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0040.007
Open science0.0010.003
Research integrity0.0060.010
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 head0.169
GPT teacher head0.436
Teacher spread0.267 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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