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Record W1589791193 · doi:10.1177/159101990901500415

Speech Reorganization after an AVM Bleed Cured by Embolization

2009· article· en· W1589791193 on OpenAlexafffund
Roberta La Piana, Denise Klein, M. Delpilar Cortes, Donatella Tampieri

Bibliographic record

VenueInterventional Neuroradiology · 2009
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsMedicineBleedAphasiaRadiosurgeryIntracerebral hemorrhageEmbolizationArteriovenous malformationNeurofibromatosisPathologicalRadiologySurgerySubarachnoid hemorrhageInternal medicineRadiation therapy

Abstract

fetched live from OpenAlex

SUMMARY: Intracerebral arteriovenous malformations (AVMs) are defined as the direct communication of arteries to abnormal veins without interposing capillaries. Although AVMs can have various clinical presentations due to their dynamic nature, the most common presenting sign is intracerebral hemorrhage. Whenever an AVM is discovered, the therapeutic choice is often not obvious and it is influenced not only by the hemodynamic features of the AVM, but also by considerations of the extent of intervention-related morbidity and mortality. A patient with a left frontal AVM is described. He bled three years after gamma knife radiosurgery and developed aphasia. The complete obliteration of the AVM was later achieved by embolization. Functional compensatory brain reorganization and plasticity is discussed, since our patient presented with a fast recovery from aphasia and unexpected contralateral redistribution of the speech function and with preference for his second spoken language.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations11
Published2009
Admission routes2
Has abstractyes

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