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Record W2733747036 · doi:10.5114/dr.2017.68774

Primary cutaneous lymphomas – diagnostic and therapeutic guidelines of the Polish Dermatological Society

2017· article· en· W2733747036 on OpenAlexaff
Małgorzata Sokołowska‐Wojdyło, Joanna Maj, Ewa Robak, Waldemar Placek, Anna Wojas‐Pelc, Alina Jankowska‐Konsur, Karolina Olek‐Hrab, Robert Gniadecki, Lidia Rudnicka

Bibliographic record

VenueDermatology Review · 2017
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineDermatologyDermatological diseasesMycosis fungoidesPathologyLymphoma

Abstract

fetched live from OpenAlex

Primary cutaneous lymphomas are a group of rare lymphoproliferative diseases with incompletely understood pathogenesis. They comprise cutaneous T-cell lymphomas, cutaneous B-cell lymphomas and T/NKcell lymphomas. The aim of the guidelines is to provide physicians with a tool to facilitate the diagnostic and therapeutic process in patients with this group of diseases. The updated recommendations are consistent with the guidelines for haematologists and oncologists, which will enable the unification of diagnostics and therapy conducted by physicians of all specialties. However, it is important to note that therapeutic decisions must be made individually on the basis of the general condition of the patient, history of internal diseases and medicines used, with careful consideration of the potential efficacy and safety profile of the proposed treatment, which may differ from patient to patient.

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)0.003
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.060
GPT teacher head0.373
Teacher spread0.313 · 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
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

Citations6
Published2017
Admission routes1
Has abstractyes

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