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Record W2792179633 · doi:10.14740/jmc.v9i3.3004

Management of an Unknown Primary Merkel Cell Carcinoma: A Case Report

2018· article· en· W2792179633 on OpenAlexvenueno aff
Aikaterini Papadopoulou, Pinelopi Theopisti Memtsa, Antonio Capizzello, Kyriaki Pisteuou Gompaki

Bibliographic record

VenueJournal of Medical Cases · 2018
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMerkel cell carcinomaRadiation therapyLymph nodeDiseaseDermatologyPopulationSkin cancerCancerCarcinomaSurgeryOncologyInternal medicine

Abstract

fetched live from OpenAlex

Merkel cell carcinoma (MCC) represents a rare skin cancer associated with sun exposure. It is an uncommon skin neoplasm of the elderly population. The majority of patients with MCC present with localized disease at diagnosis and few patients have regional lymph node (LN) involvement and distant metastases. Although it has been previously reported in various anatomical sites, LN metastatic MCC in the absence of a primary site is extremely rare and for this reason there is no standard approach to its management. Currently, there is no standard approach to the management of MCC in the absence of a primary site. Since the disease is highly aggressive and the failure rate following surgery alone is high, radiotherapy (RT) is usually administered as temporary support for numerous patients with MCC. J Med Cases. 2018;9(3):103-105 doi: https://doi.org/10.14740/jmc3004w

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.667

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)0.0010.000

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 head0.021
GPT teacher head0.311
Teacher spread0.291 · 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 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
Published2018
Admission routes1
Has abstractyes

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