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Record W2912176873 · doi:10.14740/jmc.v10i2.3246

Nodular Pulmonary Sarcoidosis

2019· article· en· W2912176873 on OpenAlexvenueno aff
Mohammed Abdalla, Wiam Mohamed, Abdelnasir Mohamed, Cristina Corsini

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSarcoidosisHistopathologyConstitutional symptomsPulmonary sarcoidosisLungProductive CoughLung biopsyRadiologyNodule (geology)BiopsyPathologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Nodular sarcoidosis is a rare form of pulmonary sarcoidosis comprising 4% of lung involvement in this disease. It usually affects African American women with a mean age of 35 years. It presents with constitutional symptoms associated with chest imaging findings of multiple or solitary lung nodules. In our case we present a 38-year-old woman who had chronic productive cough associated with fever and dyspnea for 1 month. She had course of antibiotics without improvement in her symptoms. Chest imaging showed multiple nodules measuring up to 7.5 cm in size. Lung biopsy was obtained and histopathology revealed non-caseating granulomas consistent with sarcoidosis. Angiotensin-converting enzyme levels were elevated. She received systemic steroids and the nodules resolved on follow-up imaging. J Med Cases. 2019;10(2):46-48 doi: https://doi.org/10.14740/jmc3246

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)0.001
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.349
Teacher spread0.309 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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