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Record W4246885419 · doi:10.14740/jmc2072e

A Case of Multiple Pulmonary Nodules in Association With Pyoderma Gangrenosum

2015· article· en· W4246885419 on OpenAlexvenueno aff
Wei Liu, Liping Peng, Shucheng Hua

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePyoderma gangrenosumPrednisoloneLungAseptic processingBiopsyDifferential diagnosisPathologySurgeryDiseaseInternal medicine

Abstract

fetched live from OpenAlex

This report describes a patient with pyoderma gangrenosum (PG), in whom there were co-existent lung abnormalities. The patient’s CT scan showed peripherally sited multiple pulmonary lesions bilaterally. A lung biopsy showed chronic non-specific inflammatory changes with neutrophil and lymphocyte infiltration which were similar to the skin lesions. This case was diagnosed as multiple aseptic nodules in PG. The pulmonary infiltrative shadows were controlled only with prednisolone treatment. Steroid therapy is considered to be the first choice to control pulmonary lesions of this disease. The main differential diagnosis in these cases is Wegener granulomatosis (WG). J Med Cases. 2015;6(2):84-86 doi: https://doi.org/10.14740/jmc2072e

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)0.004
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0040.003
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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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