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Record W4288073243 · doi:10.35541/cjd.20201139

Expert consensus on diagnosis and treatment of cutaneous basal cell carcinoma (2021)

2021· article· en· W4288073243 on OpenAlexaff
Skin Tumor Research Center, Chinese Society of Dermatology, Subcommittee on Skin Tumor, China Dermatologist Association

Bibliographic record

VenueChinese Journal of Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsSKiN Health
Fundersnot available
KeywordsBasal cell carcinomaDermatologyMedicineBasal cellPathology

Abstract

fetched live from OpenAlex

摘要: 【摘要】 皮肤基底细胞癌是最常见的皮肤恶性肿瘤,生长缓慢,较少转移,但高危型可破坏组织和器官,甚至危及患者生命。本文在国内外近期文献及诊疗指南的基础上,结合我国诊疗现状,综合多学科专家意见,重点阐述皮肤基底细胞癌的临床表现、诊断、风险评估及治疗,以形成我国基底细胞癌诊疗专家共识,为临床规范化诊疗提供参考依据。

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)0.025
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0050.007
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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueChinese Journal of DermatologySame topicNonmelanoma Skin Cancer StudiesFrench-language works237,207