MétaCan
Menu
Back to cohort
Record W2058015551 · doi:10.1159/000120648

Neuroimaging for Investigation of Seizures in Children

2008· review· en· W2058015551 on OpenAlexaff
Hiroshi Otsubo, Sylvester H. Chuang, Paul A. Hwang, David L. Gilday, Harold J. Hoffman

Bibliographic record

VenuePediatric Neurosurgery · 2008
Typereview
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineAbnormalityNeuroimagingRadiological weaponModalitiesEpilepsyRadiologyEpilepsy surgeryDiffusion MRIMagnetic resonance imagingPsychiatry

Abstract

fetched live from OpenAlex

In patients with structural abnormalities of the brain with poor seizure control by medication, epilepsy surgery becomes a very important tool for seizure control. Numerous radiological imaging studies are being used for studying the abnormality in order to aid in the planning of surgery. Included in the radiological imaging modalities are CT, MR, and Xenon CT, SPECT and PET. In future, perfusion and diffusion MR as well as MEG mapping will become part of the investigative tool. The following paper is a summary and discussion of the usefulness of different modalities in different disease entities with a proposal for the method of investigation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.057
GPT teacher head0.353
Teacher spread0.296 · 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 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

Citations14
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePediatric NeurosurgerySame topicAdvanced MRI Techniques and ApplicationsFrench-language works237,207