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Record W4319790785 · doi:10.1002/mdc3.13673

Reply to: Glioblastoma, <scp>IDH</scp>‐Wildtype, <scp>CNS WHO</scp> Grade 4, Associated with Deep Brain Stimulation in a Patient with Essential Tremor: Report of a Case with Molecular Characterization and Review of the Literature

2023· article· en· W4319790785 on OpenAlexafffundabout
Arjun Balachandar, Alexandre Boutet, Artur Vetkas, Jürgen Germann, Ian Chan, David J. Mikulis, Renato P. Munhoz, Alfonso Fasano, Suneil K. Kalia, Andrés M. Lozano

Bibliographic record

VenueMovement Disorders Clinical Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsToronto Western HospitalKrembil FoundationTrillium Health CentreUniversity of Toronto
FundersCanadian Institutes of Health ResearchBoston Scientific Corporation
KeywordsDeep brain stimulationDystoniaMedicineEssential tremorParkinson's diseaseGliomaDiseaseMalignancyIncidence (geometry)GlioblastomaOncologyInternal medicinePediatricsPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

context of DBS, and further highlights the need for more documentation of such cases and future studies investigating any association of DBS and chronic stimulation with brain malignancy.

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)0.002
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.006
Open science0.0030.002
Research integrity0.0270.022
Insufficient payload (model declined to judge)0.0030.004

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 head0.013
GPT teacher head0.309
Teacher spread0.297 · 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
GenreCommentary

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
Published2023
Admission routes3
Has abstractyes

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