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Record W4249320549 · doi:10.14740/jmc2888w

Multifocal Ancient Thoracic Schwannomas: A Case Report and Review of Literature

2017· article· en· W4249320549 on OpenAlexvenueno aff
Supanat Kongjarern, Pattraporn Tajarernmuang, Yutthaphan Wannasopha, Komson Wannasai, Somcharoen Saeteng

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsymptomaticSchwannomaLesionIntercostal spaceRadiologyIntercostal nervesThorax (insect anatomy)AnatomyPathology

Abstract

fetched live from OpenAlex

Primary pleural schwannoma is a rare benign tumor of the thorax. Because of their gradual progression, they are generally asymptomatic. Herein, we report a 53-year-old male patient with a well-circumscribed mass located at the right lower lung field. He was totally asymptomatic. His contrast-enhanced computerized tomography scan showed a round, well-defined, inhomogeneous, mildly-enhancing lesion with a few small internal speckle calcifications arising from the pleura along the right lateral sixth intercostal space, measuring about 5.5 × 4.2 cm in diameter, and another smaller lesion at the left apical hemithorax. Both masses were resected successfully under video-assisted thoracoscopic surgery. Histopathologic analysis revealed alternating areas of compact spindle cells and hypocellular areas and degenerative changes of blood vessels inside. Thus, the diagnosis of multifocal ancient thoracic schwannomas was established. J Med Cases. 2017;8(9):277-279 doi: https://doi.org/10.14740/jmc2888w

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: none
Teacher disagreement score0.006
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.042
GPT teacher head0.372
Teacher spread0.330 · 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
Published2017
Admission routes1
Has abstractyes

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