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2015· article· en· W2342829265 on OpenAlexaff
Gigi Smith, Janelle L. Wagner, Jonathan Edwards

Bibliographic record

VenueAJN American Journal of Nursing · 2015
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsEpilepsyPsychosocialMisinformationMedicineDiseasePsychiatryStigma (botany)Health carePsychologyPolitical sciencePathology

Abstract

fetched live from OpenAlex

In Brief OVERVIEW Epilepsy is a serious, common neurologic disease that affects people of all ages. As underscored in the 2012 Institute of Medicine report Epilepsy Across the Spectrum: Promoting Health and Understanding, the millions of people living with epilepsy in the United States face the challenges of seeking out high-quality, coordinated health care and community services; overcoming epilepsy misinformation and stigma; and finding understanding and support in their communities. This article, the first in a two-part series, discusses new research that has increased our understanding of epilepsy's etiology and pathophysiology, new definitions that are changing the ways we evaluate and treat this disease, conditions that frequently present with epilepsy, and psychosocial challenges faced by people with epilepsy. Part 2, which will appear in next month's issue, reviews comprehensive nursing care and evidence-based treatment for epilepsy and presents resources for people with epilepsy and their families. This first article in a two-part series discusses new research on the causes of epilepsy, new definitions that are changing the ways we evaluate the disease, and the psychosocial challenges faced by people who have it.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.164

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 head0.071
GPT teacher head0.402
Teacher spread0.331 · 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 designOther design
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

Citations8
Published2015
Admission routes1
Has abstractyes

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