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Non-Melanoma Skin Cancer - Overview

2016· article· en· W2562784458 on OpenAlexaff
Kurian Joseph

Bibliographic record

VenueCurrent Cancer Therapy Reviews · 2016
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSkin cancerMedicineDermatologyMelanomaPhotodynamic therapyRadiation therapyCancerSurgeryCancer researchInternal medicine

Abstract

fetched live from OpenAlex

Non-Melanoma Skin Cancer (NMSC) is the most common form of skin cancer. Common risk factors linked to the occurrence of NMSC are occupational exposure to chemicals, ultraviolet light exposure, immunosuppresion, human papillomavirus infection, artificial tanning, premalignant skin lesions and inherited skin conditions. The various clinical manifestations of NMSC depend on location and subtype. Management of NMSC includes pathology confirmation, staging and treatment. Retinoid and nicotinamide have been shown to be effective for the prevention of NMSC, primary treatments available for the treatment of NMSC are wide local excision, Mohs micrographic surgery (MMS), radiotherapy (RT), topical agents (5FU cream) and photodynamic therapy (PDT). Keywords: Non-melanoma skin cancer, MMS, PDT, BCC, SCC.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0050.000

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 head0.130
GPT teacher head0.415
Teacher spread0.285 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2016
Admission routes1
Has abstractyes

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