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A new rat model for vulnerability to epilepsy and autism spectrum disorders

2008· review· en· W2014042335 on OpenAlexaff
Krista L. Gilby

Bibliographic record

VenueEpilepsia · 2008
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsEpilepsyAutismNeuroscienceAutism spectrum disorderVulnerability (computing)PsychologyMedicinePsychiatryAudiologyComputer science

Abstract

fetched live from OpenAlex

Tremendous concern has arisen in response to the recent diagnostic outbreak of childhood developmental disorders, particularly involving attention deficit hyperactivity disorder (ADHD) and the autism spectrum disorders (ASD). Interestingly, similarities in clinical presentation across these disorders may suggest common predisposing factors. For instance, though not widely recognized, an increased predisposition toward seizure is a symptom that is very often associated with ADHD and ASD. Accordingly, a rat strain naturally bred to be seizure-prone simultaneously developed behavioral and physical characteristics analogous to those observed in ADHD/ASD patients. These rats also show early signs of aberrant lipid handling, which is another symptom common to human patients with these disorders. As such, this rat strain could serve as an excellent model system through which to identify common pathophysiological events that constitute a"spectrum of vulnerability"toward ADHD/ASD and epilepsy.

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)0.001
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 score0.905
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.078
GPT teacher head0.366
Teacher spread0.288 · 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

Citations27
Published2008
Admission routes1
Has abstractyes

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