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Record W2076302093 · doi:10.1055/s-2007-991122

Neuromuscular Diseases in Pregnancy

2007· review· en· W2076302093 on OpenAlexaff
Hannah Briemberg

Bibliographic record

VenueSeminars in Neurology · 2007
Typereview
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePregnancyEtiologyChronic inflammatory demyelinating polyneuropathyIncidence (geometry)Myasthenia gravisNeuromuscular diseaseDiseasePolyneuropathyPediatricsObstetrics and gynaecologyIntensive care medicineImmunologySurgeryInternal medicineAntibody

Abstract

fetched live from OpenAlex

Neuromuscular disease in pregnancy is a broad topic and includes focal neuropathies that occur with increased incidence during pregnancy and the puerperium, as well as preexisting inherited neuropathies or myopathies and chronic autoimmune diseases such as myasthenia gravis and chronic inflammatory demyelinating polyneuropathy. Although the precise etiology of the focal neuropathies is not completely understood, they do seem to be a direct effect of pregnancy or delivery. In most cases, prognosis for complete recovery is good. The incidence of inherited and autoimmune neuromuscular diseases in women of childbearing age is relatively rare, and our knowledge of their impact in pregnancy is limited. Most are able to deliver healthy infants; however, these patients present specific challenges to the neurologist and obstetrician. The most recent literature on this topic is 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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.054
GPT teacher head0.393
Teacher spread0.339 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2007
Admission routes1
Has abstractyes

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