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Record W2047493534 · doi:10.1002/jso.21359

Gastrinomas: A historical perspective

2009· review· en· W2047493534 on OpenAlexaff
Meei Yeung, Janice L. Pasieka

Bibliographic record

VenueJournal of Surgical Oncology · 2009
Typereview
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineGastrinomaPerspective (graphical)Zollinger-Ellison syndromeGeneral surgeryInternal medicineComputer science

Abstract

fetched live from OpenAlex

The journey of gastrinomas had its beginnings in 1955 when Zollinger and Ellison published their seminal paper (Zollinger and Ellison, Ann Surg 1955; 142: 709-723). The evolution of the diagnosis and management of this syndrome has paralleled many important advances in medicine, including the development of various diagnostic tools to the major impact of medical treatment on the management of an inherently surgical pathology. There are numerous excellent review articles on the most current developments and treatment options of gastrinomas available in the literature today. The purpose of this paper is to present a historical perspective on this most fascinating condition. This article will illustrate the way in which the discovery of gastrinomas evolved and how its management has developed with it. The evolution of the surgical treatment of gastrinomas has evolved over the last 50 years.

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.084
GPT teacher head0.443
Teacher spread0.359 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

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Same venueJournal of Surgical OncologySame topicNeuroendocrine Tumor Research AdvancesFrench-language works237,207