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Record W1977039361 · doi:10.1080/13803391003596371

Dynamic emotion processing in Parkinson's disease as a function of channel availability

2010· article· en· W1977039361 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Clinical and Experimental Neuropsychology · 2010
Typearticle
Languageen
FieldPsychology
TopicEmotion and Mood Recognition
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsPsychologyParkinson's diseaseFunction (biology)Cognitive psychologyDiseaseNeuroscienceMedicineInternal medicine

Abstract

fetched live from OpenAlex

Parkinson's disease (PD) is linked to impairments for recognizing emotional expressions, although the extent and nature of these communication deficits are uncertain. Here, we compared how adults with and without PD recognize dynamic expressions of emotion in three channels, involving lexical-semantic, prosody, and/or facial cues (each channel was investigated individually and in combination). Results indicated that while emotion recognition increased with channel availability in the PD group, patients performed significantly worse than healthy participants in all conditions. Difficulties processing dynamic emotional stimuli in PD could be linked to striatal dysfunction, which reduces efficient binding of sequential information in the disease.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.408
Teacher spread0.363 · 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