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Record W2056355093 · doi:10.1136/bcr.12.2011.5421

Polyneuropathy: a poetic diagnosis

2012· article· en· W2056355093 on OpenAlexaff
R. Pattani, Dmitry Rozenberg, Lee Mozessohn, Lisa K. Hicks

Bibliographic record

VenueBMJ Case Reports · 2012
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineOrganomegalyPolyneuropathyPathologyPOEMS syndromePlasmacytomaLymph node biopsyLymph nodeMultiple myelomaInternal medicine

Abstract

fetched live from OpenAlex

A 60-year-old woman presented with subacute progressive lower extremity weakness. This was associated with a 40lb weight loss and fevers. She was previously healthy, aside from renal transplantation 9 years earlier for end stage renal disease resulting from IgA nephropathy. On examination, she had clubbing, a single lymph node in the right cervical chain, and objective findings of lower extremity weakness with lower motor neuron findings. Investigations revealed a thrombocytosis and elevated CSF protein. Electromyographic evidence of diffuse polyradiculopathy with demyelination was documented. On imaging, she had a large lytic/sclerotic lesion in the right scapula measuring 8 cm, a pericardial effusion, and borderline splenomegaly. Pathological assessment of the excised lymph node revealed Castleman-like changes; biopsy of the right scapular lesion revealed λ-restricted plasma cells, in the absence of a monoclonal protein in the bone marrow or periphery. A diagnosis of POEMS (polyneuropathy, organomegaly, endocrinopathy, monoclonal gammopathy and skin changes) with plasmacytoma was established; a post-transplant lymphoproliferative disorder was suspected.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.179
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

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 head0.027
GPT teacher head0.308
Teacher spread0.280 · 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 teacher head, 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
Published2012
Admission routes1
Has abstractyes

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