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Record W2066644364 · doi:10.14740/jnr.v4i1.261

Anti-Ri Antibody Paraneoplastic Syndrome Without Opsoclonus-Myoclonus

2014· article· en· W2066644364 on OpenAlexvenueno aff
Yadira Velazquez, Divpreet Kaur, Aiesha Ahmed

Bibliographic record

VenueJournal of Neurology Research · 2014
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalignancyAntibodyAtaxiaPathologyMyoclonusOpsoclonusEncephalitisImmunologyVirusNeuroblastomaAnesthesia

Abstract

fetched live from OpenAlex

Anti-Ri antibody paraneoplastic neurologic syndrome historically has been linked to ataxia, opsoclonus-myoclonus and brainstem encephalitis, but these “cardinal features” are not necessary for its diagnosis, which should be considered in patients with subacute course of heterogeneous neurological manifestations. This is a report of a man who suffers from anti-Ri antibody paraneoplastic syndrome, with an atypical clinical presentation. His syndromic diagnosis was confirmed by serum western blot analysis that revealed the presence of anti-Ri antibodies. Clues to the underlying malignancy were given by FDG-PET scan that demonstrated a hypermetabolic peripancreatic lymph node. Besides highlighting clinical features of anti-Ri antibody syndrome that will help its early recognition and the appropriate steps for its diagnosis, we also discuss various treatment modalities that should be considered in this population in order to improve morbidity and mortality. J Neurol Res. 2014;4(1):31-33 doi: http://dx.doi.org/10.14740/jnr261w

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.052
GPT teacher head0.401
Teacher spread0.349 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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