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Record W2009353266 · doi:10.1212/wnl.0b013e318259e2af

Personalized medicine in deep brain stimulation through utilization of neural oscillations

2012· letter· en· W2009353266 on OpenAlexaff
Aparna Wagle Shukla, Michael S. Okun

Bibliographic record

VenueNeurology · 2012
Typeletter
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsNeuroscienceBasal gangliaBiological neural networkDeep brain stimulationRealization (probability)PsychologyStimulationBiologyMedicineCentral nervous systemPathologyDiseaseMathematics

Abstract

fetched live from OpenAlex

The neural underpinnings for normal and abnormal basal ganglia functions and functional connectivities remain unknown, although several important pieces to the puzzle have emerged over 3 decades. First was the identification of segregated basal ganglia circuits.1 This discovery was closely paralleled by the realization that these circuits communicated through the use of a special physiologic language,2 which proved to be more complex than initially thought, as it was not the simple firing rate of neurons, but rather specific patterns of oscillatory neuronal discharges that were …

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0060.009
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 head0.073
GPT teacher head0.337
Teacher spread0.264 · 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 designNot applicable
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

Citations14
Published2012
Admission routes1
Has abstractyes

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