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Record W2580067814 · doi:10.1093/brain/aww321

Tracking the course of prodromal Parkinson’s disease

2016· letter· en· W2580067814 on OpenAlexaff
David P. Breen, Anthony E. Lang

Bibliographic record

VenueBrain · 2016
Typeletter
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsParkinson's diseaseCourse (navigation)PsychologyNeuroscienceProdromal StageMedicinePhysical medicine and rehabilitationDiseaseInternal medicineDementia

Abstract

fetched live from OpenAlex

Also, as alluded to by the authors, other remote locations and neurotransmitter systems could have an impact on REM-atonia and the release of RBD. Finally, isolated 'REM-withoutatonia' (RWA) without clinical RBD (usually an incidental finding in a patient being evaluated for sleep apnoea or another complaint) is not infrequently found in clinical video-polysomnographic studies (an example is shown in Fig. How does RWA in humans fit into the novel rat model? Is it also a matter of the degree of destruction of the glutamatergic SLD, or are other neuronal centres and neurotransmitters involved, including the two other neuronal types in the SLD? What is necessary to generate only RWA, in contrast to clinical RBD?

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.359
Threshold uncertainty score0.751

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2016
Admission routes1
Has abstractyes

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