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Record W2908553092 · doi:10.1016/s1474-4422(18)30405-8

Safety and efficacy of CVT-301 (levodopa inhalation powder) on motor function during off periods in patients with Parkinson's disease: a randomised, double-blind, placebo-controlled phase 3 trial

2019· article· en· W2908553092 on OpenAlexaff
Peter A. LeWitt, Robert A. Hauser, Rajesh Pahwa, Stuart Isaacson, Hubert H. Fernandez, Mark Lew, Marie Saint‐Hilaire, Emmanuelle Pourcher, Lydia López Manzanares, Cheryl Waters, Monika Rudzińska, Alexander Sedkov, Richard Batycky, Charles Oh

Bibliographic record

VenueThe Lancet Neurology · 2019
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversité Laval
FundersNational Institute of Neurological Disorders and StrokeSchool of Public Health, University of California BerkeleySt. Jude MedicalNational Institutes of HealthSunovionH. Lundbeck A/SParkinson Study GroupKyowa Kirin Pharmaceutical DevelopmentAstraZenecaInternational Parkinson and Movement Disorder SocietyAcorda TherapeuticsAbbott LaboratoriesŚląski Uniwersytet MedycznyAbbVieCHDI FoundationRocheNovartisAdamas PharmaceuticalsACADIA PharmaceuticalsMerckUS WorldMedsNational Parkinson FoundationPfizerMichael J. Fox Foundation for Parkinson's ResearchAmerican Parkinson Disease AssociationTeva Pharmaceutical IndustriesKyowa Hakko Kirin
KeywordsLevodopaPlaceboMedicineParkinson's diseaseClinical endpointInhalerInhalationPhysical therapyClinical trialInternal medicineAnesthesiaDiseaseAsthma

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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 designRandomized trial
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

Citations120
Published2019
Admission routes1
Has abstractno

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