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Record W2029971941 · doi:10.2340/00015555-1807

Successful Treatment of Adult Onset Langerhans Cell Histiocytosis with Bi-weekly Administration of Pegylated Interferon-α

2014· article· en· W2029971941 on OpenAlexaff
Sadanori Furudate, Taku Fujimura, Yumi Kambayashi, Mitsuhiro Kawano, Kazumasa Ogasawara, Akira Tsukada, Erika Tamabuchi, Takahiro Haga, Akira Hashimoto, Setsuya Aiba

Bibliographic record

VenueActa Dermato Venereologica · 2014
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsLangerhans cell histiocytosisHistiocytosisMedicinePegylated interferonDiseaseRare diseaseLangerhans cellInterferonImmunologyPathologyVirusAntigen

Abstract

fetched live from OpenAlex

Successful Treatment of Adult Onset Langerhans Cell Histiocytosis with Bi-weekly Administration of Pegylated Interferon-α" Fig. S1.CD163 + macrophages and CD206 + macrophages in the lesional skin: percentages of CD163 + macrophages among unstained cells.Paraffin-embedded tissue samples from before (A, C, E) and after (B, D, F) PEG-IFN-α2a therapy were deparaffinised and stained using anti-CD163 Ab and anti-CD206 Ab.Sections were developed with liquid permanent red (red) (Original manifestation; × 100 (A, B), × 200 (C, D)). Immunohistochemical stained sections were quantified with a KS400 image analysis system for optical MEAND, and the staining intensity is presented reciprocally (E, F).Mean intensity on CD163 + cells was compared with that of unstained cells in the same section.Sections were also analysed using a TissueFAXS image cytometer, and all samples were recorded digitally (G, H).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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 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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

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