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Record W2785614898 · doi:10.15406/mojamt.2018.05.00081

Gambling Disorder in the Context of Parkinson’s Disease

2018· article· en· W2785614898 on OpenAlexaff
Mary V. Seeman

Bibliographic record

VenueMOJ Addiction Medicine & Therapy · 2018
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Parkinson's diseaseDiseasePsychologyPsychiatryMedicineHistoryInternal medicine

Abstract

fetched live from OpenAlex

This paper briefly reviews Gambling Disorder in the context of Parkinson's disease. This disorder, as other impulsivity disorders, is seen in a significant number of Parkinson's disease patients, especially those treated with dopamine agonists. There is continued controversy about the role of different elements (genetic factors, early disadvantage, substance abuse, personality factors, age, gender, early onset or long duration of Parkinson's disease, cognitive problems, neurotransmitter dysfunction, specific dopamine agonists, their dose or their delivery) in the emergence of Gambling Disorder. There is also controversy about how best to treat Gambling Disorder in Parkinson's disease patients. Nevertheless, the controversies shed light on the nature of both Parkinson's disease and impulse control disorders such as pathological gambling.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.998

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)0.0030.000

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 head0.102
GPT teacher head0.403
Teacher spread0.301 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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