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Record W2534384825 · doi:10.22374/cjgim.v11i3.155

A 54-year-old Woman with Progressive Ataxia

2016· article· en· W2534384825 on OpenAlexvenueno aff
Kun Huang

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineParaneoplastic cerebellar degenerationMalignancyOvarian cancerOccultSerous fluidAtaxiaPathologyCerebellar ataxiaAutoantibodyNeurologyCancerInternal medicineAntibodyImmunology

Abstract

fetched live from OpenAlex

Summary Paraneoplastic cerebellar degeneration (PCD) is a rare but devastating syndrome associated with autoantibodies targeting cerebellar antigens expressed by tumours outside of nervous system. PCD is most often associated with breast and gynecological cancers and can precede clinical manifestations of the cancer. Of the dozen autoantibodies associated with PCD, anti-Yo is the most commonly identified. In this report, we present a case of a woman with progressive cerebellar ataxia and anti-Yo antibody, who has microscopic high-grade serous carcinoma found with empiric total abdominal hysterectomy bilateral salpingo-oophorectomy (TAH-BSO). This case highlights the challenges in diagnosis, difficulty in identifying the occult malignancy, and the need for multidisciplinary collaboration between Internal Medicine, Neurology, Gynecology and Pathology. The literature relating to diagnosis, prognosis and treatment of PCD is also reviewed.

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)0.002
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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
Published2016
Admission routes1
Has abstractyes

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