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Record W3116150845 · doi:10.17116/jnevro202012011199

Poststroke motor and cognitive impairments: clinical features and current approaches to rehabilitation

2020· article· en· W3116150845 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical medicine and rehabilitationRehabilitationCognitionCurrent (fluid)Physical therapyPsychiatry

Abstract

fetched live from OpenAlex

Stroke is one of the most common neurological diseases with high morbidity, disability and mortality, which is an urgent medical and social problem. Clinically, stroke, depending on its nature and location, causes a wide range of neurological disorders, including movement disorders, as well as a variety of cognitive and neuropsychiatric disorders. There is an emerging need for new approaches to manage patients with cerebrovascular diseases during the pandemic of COVID-19. Rehabilitation measures for the correction of motor and cognitive impairments are very diverse. The use of drugs stimulating the production of neurotrophic factors is considered as a promising direction of pharmacotherapy. Cerebrolysin promotes significant regression of motor and cognitive impairments in the acute and recovery period of ischemic stroke. Based on the data of clinical studies, Cerebrolysin is included in the guidelines for the rehabilitation of patients with stroke in Canada and Germany.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.087
GPT teacher head0.325
Teacher spread0.238 · 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