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Record W4241948531 · doi:10.1002/9780471420194.tnmm31

Penis

2017· other· en· W4241948531 on OpenAlexaff
Juanita Crook, Lance C. Pagliaro, Curtis A. Pettaway

Bibliographic record

VenueTNM Online · 2017
Typeother
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsForeskinPenile cancerMedicinePenisIncidence (geometry)MalignancyGlansMultidisciplinary approachRadiation therapySurgeryPathologyBiology

Abstract

fetched live from OpenAlex

Summary Cancer of the penis is an uncommon malignancy with an incidence in the developed world of about 1 per 100,000 men. There is considerable geographical variation in incidence. Established risk factors include oncogenic HPV types 16 and 18, tobacco consumption, phimosis and increasing age. It most commonly occurs on the glans and foreskin and in early stages is highly curable by local management. Penile preserving options, both surgical and radiotherapeutic, are emphasized. First line of spread is to regional lymph nodes, evaluation of which is essential for high‐risk tumours. For locally‐advanced presentations, a multidisciplinary approach is recommended, combining surgery, radiation and chemotherapy, the optimal sequencing of which is being explored in international cooperative clinical trials.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0290.002

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 head0.037
GPT teacher head0.388
Teacher spread0.351 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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