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Record W2018115246 · doi:10.1002/syn.20653

Visualizing vesicular dopamine dynamics in Parkinson's disease

2009· article· en· W2018115246 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSynapse · 2009
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsTRIUMFUniversity of British Columbia
Fundersnot available
KeywordsDopamineLevodopaParkinson's diseaseVesicular monoamine transporterNeuroscienceChemistryEndogenyVesicular transport proteinDopaminergicInternal medicineMedicineBiologyDiseaseBiochemistryMonoamine neurotransmitterVesicle

Abstract

fetched live from OpenAlex

It has been suggested that dopamine derived from exogenous levodopa may not follow vesicular dynamics in Parkinson's disease (PD). Using a novel PET method based on the sensitivity of [(11)C]-dihydrotetrabenazine (DTBZ) binding to changes in vesicular dopamine levels, we show here that striatal [(11)C]-DTBZ binding decreases after levodopa administration in advanced PD, likely reflecting an increase in vesicular dopamine levels. Endogenous dopamine and exogenously derived dopamine seem to follow the same vesicular dynamics.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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