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Record W2009004556 · doi:10.4021/gr2009.01.1266

Non-functioning Well Differentiated Endocrine Carcinoma of the Pancreas

2009· article· en· W2009004556 on OpenAlexvenueno aff
Tadashi Terada

Bibliographic record

VenueGastroenterology Research · 2009
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePancreasChromogranin ASynaptophysinEndocrine systemSplenectomyPathologyPancreatic polypeptideInsulinomaPancreatic tumorCarcinomaInternal medicineGlucagonHormoneImmunohistochemistryCancerPancreatic cancer

Abstract

fetched live from OpenAlex

The author reports a typical but rare case of non-functioning well differentiated endocrine carcinoma of the pancreas. A 67-year-old man was admitted to our hospital because of abdominal pain. No hormone-related symptoms were recognized. He has no familiar history of pancreatic neoplasms. Various imaging modalities including US, CT and MRI revealed a tumor of the pancreatic body. Distal pancreatectomy and splenectomy were performed. A solid well demarcated tumor was present in the pancreatic body. Peripancreatic lymph nodes showed marked swelling suggestive of metastases. Immunohistyochemically, tumor cells were positive for cytokeratin, synaptophysin, neuron-specific enolase, and CD56; they were negative for chromogranin, gastrin, glucagon, somatostatin, pancreatic polypeptide, and vasoactive intestinal polypeptide. The pathological diagnosis was non-functioning well differentiated endocrine carcinoma of the pancreas.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
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 head0.033
GPT teacher head0.343
Teacher spread0.310 · 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 designCase report
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

Citations0
Published2009
Admission routes1
Has abstractyes

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