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Record W2098779062 · doi:10.1111/nyas.12535

Adenocarcinoma at the gastroesophageal junction

2014· article· en· W2098779062 on OpenAlexaff
Sahar Al‐Haddad, Andrew C. Chang, Gert De Hertogh, Andrea Grin, Rupert Langer, Xavier Sagaert, Marianna Salemme, Catherine Streutker, Geneviève Soucy, Monika Tripathi, Melissa P. Upton, Michael Vieth, Vincenzo Villanacci

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsCentre Hospitalier de l’Université de MontréalSt. Michael's Hospital
Fundersnot available
KeywordsAdenocarcinomaEsophagusGastroesophageal JunctionIntestinal metaplasiaMedicineMetaplasiaImmunohistochemistryEsophagogastric junctionPathologyGASTRIC CARDIAGastroenterologyInternal medicineStomachCancer

Abstract

fetched live from OpenAlex

The following, from the 12th OESO World Conference: Cancers of the Esophagus, includes commentaries on the clinical differences between carcinomas arising slightly above, slightly below, and within the gastroesophageal junction (GEJ); information provided by biopsies; information provided by resection specimens following neoadjuvant therapy; histologic differences existing between carcinomas arising slightly above, slightly below, and within the GEJ; differences provided by immunohistochemistry in these tumors; information given by endoscopic mucosal resection specimens; the role of esophageal pyloric gland adenomas as precursors of adenocarcinomas in the region of the cardia; the role of pancreatic metaplasia; Her2 immunoreactivity to make distinctions in the site of origin; and intestinal metaplasia limited to the cardia as a precursor of adenocarcinoma.

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)0.003
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0050.004

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 head0.094
GPT teacher head0.363
Teacher spread0.269 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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