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Record W1747195965 · doi:10.1177/1066896915606970

The Gross Appearance of a NUT Midline Carcinoma

2015· article· en· W1747195965 on OpenAlexaff
Jason K. Wasserman, Bibianna Purgina, Harmanjatinder S. Sekhon, Marcio M. Gomes, Chi Lai

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsGross examinationMedicineMalignancyMediastinumRadiation therapyPneumonectomyLymphGross anatomyCarcinomaRadiologyHead and neckSurgeryLungPathologyInternal medicine

Abstract

fetched live from OpenAlex

The NUT midline carcinoma (NMC) is a recently described and highly aggressive tumor that usually involves the head and neck and anterior mediastinum. Most patients with NMC present with metastases and are often treated with neoadjuvant chemotherapy and/or radiation therapy. As a consequence, surgical specimens are often piecemeal excisions demonstrating treatment effect. In this report, we provide what is to the best of our knowledge the first complete gross description of NMC resected in toto and without prior treatment. The patient in this case underwent a pneumonectomy for a lung mass with curative intent. On gross examination, the tumor was found to be arising from the mediastinum with a smooth border, and demonstrated only minimal invasion of the surrounding structures. However, lymphovascular invasion was present throughout and there was extensive involvement of surrounding lymph nodes. The gross appearance of the tumor in this case reaffirms that NMC is an aggressive malignancy that usually metastasizes before it invades locally.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.017
GPT teacher head0.284
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 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

Citations9
Published2015
Admission routes1
Has abstractyes

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