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Record W1502002893 · doi:10.1002/mdc3.12183

Olfaction in Homozygous and Heterozygous <scp>SYNJ</scp> 1 Arg258Gln Mutation Carriers

2015· article· en· W1502002893 on OpenAlexaff
Marina Picillo, Anna De Rosa, Maria Teresa Pellecchia, Chiara Criscuolo, Marianna Amboni, Roberto Erro, Vincenzo Bonifati, Giuseppe De Michele, Paolo Barone

Bibliographic record

VenueMovement Disorders Clinical Practice · 2015
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsHyposmiaParkinsonismOlfactionParkinson's diseaseDiseaseMutationPhenotypeGeneticsAudiologyPsychologyMedicineInternal medicineBiologyGeneNeuroscience

Abstract

fetched live from OpenAlex

Hyposmia is a common nonmotor symptom in Parkinson's disease (PD) and has been variably detected in monogenic parkinsonism. SYNJ1 has been recently identified as the gene defective in a novel form of autosomal-recessive, early-onset atypical parkinsonism, designed as PARK20. To assess olfaction in PARK20, we administered the University of Pennsylvania Smell Identification Test (UPSIT) in four groups of subjects: SYNJ1 homozygous (HOM = 3) and heterozygous (HET = 4); sporadic PD (PD = 68); and healthy control subjects (CTR = 61). A linear regression model was constructed to assess the association between raw UPSIT score (outcome) and group (HOM, HET, PD, and CTR), adjusting for age, gender, and current smoking status. Likewise in PD patients, odor identification is impaired in homozygous SYNJ1 mutation carriers. Although the limited sample size precludes definite conclusions about olfaction in SYNJ1-related parkinsonism, our findings suggest new insights into PARK20 phenotype and pathophysiology.

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)0.005
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 score0.441
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 head0.049
GPT teacher head0.364
Teacher spread0.315 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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