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Record W2592861797 · doi:10.11124/jbisrir-2016-002978

Validity of measures of neurological status used for predicting functional independence in adults after a cerebrovascular accident: a systematic review protocol

2017· review· en· W2592861797 on OpenAlexaboutno aff
Robert S. Ware, Mary M. Moore

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2017
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
FundersStroke Association
KeywordsIndependence (probability theory)Physical medicine and rehabilitationScale (ratio)PsychologyFunctional Independence MeasureProtocol (science)Stroke (engine)MedicineClinical psychologyPhysical therapyActivities of daily livingPsychiatryAlternative medicineStatisticsPathologyEngineering

Abstract

fetched live from OpenAlex

REVIEW QUESTION/OBJECTIVE: Are the measures of neurologic status that are used in adults who have had a cerebrovascular accident valid in predicting functional independence?More specifically, the objective of this review is to assess the predictive validity of functional independence of the National Institutes of Health Stroke Scale and the Canadian Neurological Scale.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.033
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.077
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0160.016
Bibliometrics0.0100.009
Science and technology studies0.0030.003
Scholarly communication0.0050.005
Open science0.0030.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0260.003

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 head0.158
GPT teacher head0.427
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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

Citations1
Published2017
Admission routes1
Has abstractyes

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