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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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