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Record W2403629665 · doi:10.1503/cmaj.151179

An update on the diagnosis and treatment of Parkinson disease

2016· review· en· W2403629665 on OpenAlex
Philippe Rizek, Niraj Kumar, Mandar Jog

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Medical Association Journal · 2016
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsParkinson's diseaseDiseaseMedicinePediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

arkinson disease is the second most common neurodegenerative disorder after Alzheimer disease. About 0.3% of the general population is affected, and the prevalence is higher among men than women, with a ratio of 1.5 to 1.0. 5 Parkinson disease may be more common among white people than those of Asian or African descent; however, the data are conflicting. In 2011, the estimated number of people living with Parkinson disease in Canada had reached 85 200. 7 By 2031, the projected number of people with this disease will double. anagement remains complicated over the course of the disease and should be individualized based on the patient's quality of life at each stage of disease. There have been many advancements in the management of Parkinson disease and ongoing research. Many options are now available. This review presents current treatment strategies and recommendations in managing motor and nonmotor symptoms in the various stages of Parkinson disease. Methods for developing this review are outlined in Box 1.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.030
GPT teacher head0.309
Teacher spread0.279 · 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