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Record W4391157775 · doi:10.1016/j.jdcr.2024.01.012

Chasing shadows: A series of tumoral melanosis mimicking melanoma

2024· article· en· W4391157775 on OpenAlexaff
Elena Pastukhova, Youssef El-Sayes, Quentin Nakonechny, Simon F. Roy, Feras M. Ghazawi

Bibliographic record

VenueJAAD Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsMcGill UniversityOttawa HospitalUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsMedicineDermisMelanomaMelanosisHistopathologyPathologyDermatologyImmunohistochemistryLesionMelanocyteCancer research

Abstract

fetched live from OpenAlex

Tumoral melanosis (TM) describes a pigmented lesion that may mimic malignant melanoma (MM) clinically but rather demonstrates upon histopathology aggregates of melanophages and extracellular melanin in the dermis and/or subcutaneous tissue. Immunohistochemistry for melanocytic markers is habitually performed to exclude the presence of melanocytes. TM is an uncommon process, with 72 cases reported in the literature to date (Supplementary Table I, available via Mendeley at https://data.mendeley.com/datasets/kn3jz5m4gt/1).

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 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 score0.064
Threshold uncertainty score0.568

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)0.0000.000

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 head0.019
GPT teacher head0.267
Teacher spread0.248 · 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
Published2024
Admission routes1
Has abstractyes

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