MétaCan
Menu
Back to cohort
Record W2580524543 · doi:10.7759/cureus.999

Malignant Proliferating Trichilemmal Tumor Treated with Radical Radiotherapy: A Case Report and Literature Review

2017· article· en· W2580524543 on OpenAlexaff
Duncan Sutherland, Kathryn Roth, Edward Yu

Bibliographic record

VenueCureus · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineRadiation therapyTreatment modalityRadical surgerySurgical excisionModalitiesSurgeryInternal medicineCancer

Abstract

fetched live from OpenAlex

Reported here is the first case of a malignant proliferating trichilemmal tumor treated with radical radiotherapy. Complete clinical response was achieved, and this obviated the need for aggressive surgery. These tumors have a tendency to develop in older patients, and have a propensity for affecting women more than men. The standard of treatment is surgical excision with a margin of normal tissue. Given that not all patients are good surgical candidates, the role of different treatment modalities in the management of this tumor is discussed.

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.315
Teacher spread0.295 · 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

Citations28
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCureusSame topicCancer and Skin LesionsFrench-language works237,207