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Record W4312433131 · doi:10.4236/wjns.2022.124019

Analysis on Endovascular Therapy for Acute Ischemic Stroke with Large Vessel Occlusion and Large-Scaled Core Infarct Volume in the Time Window

2022· article· en· W4312433131 on OpenAlexaboutno aff
Gang Yang, Shaojun Yang, Yaojie Cai

Bibliographic record

VenueWorld Journal of Neuroscience · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Perfusion scanningRadiologyAngiographyCore (optical fiber)OcclusionComputed tomography angiographyEndovascular treatmentAcute strokePerfusionCardiologyInternal medicineComputer scienceAneurysm

Abstract

fetched live from OpenAlex

Patients who received endovascular therapy (EVT) for acute ischemic stroke with large vessel occlusion (AIS-LVO) and large-scaled core infarct volume in the time window were analyzed. Literature data were reviewed. Results showed that although EVT is the first choice to AIS-LVO, patients often have poor prognosis. Alberta stroke program early CT score (ASPECTS) based on computerized tomography angiography source image (CTA-SI) can reflect the real cerebral perfusion more truly, and it can assess the size of core infarct more quickly and accurately, thus enabling to judge prognosis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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
Published2022
Admission routes1
Has abstractyes

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