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Record W7097784297

CMAJ•JAMC CMAJ 2008;179(12 SUPPL):S1-S25 Canadian Best Practice Recommendations for Stroke Care: Summary

2008· article· en· W7097784297 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsBest practiceStroke (engine)Work (physics)RehabilitationHealth careAcute strokeHealth services research
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Stroke Strategy was initiated under the leader-ship of the Canadian Stroke Network and the Heart and Stroke Foundation of Canada. It brings together a multitude of stakeholders and partners to work toward the common goal of developing and implementing a coordinated and integrated approach to stroke prevention, treatment, rehabilitation and community reintegration in every province and territory in Canada. Enhanced access for all Canadians to integrated, high-quality and efficient stroke services will establish the Canadian Stroke Strategy as a model for innovative health system reform in Canada and internationally. The Canadian Stroke Strategy provides a framework to fa-cilitate the widespread adoption of evidence-based best prac-tices across the continuum of stroke care, focusing at 2 levels: • the national level, where the creation of working groups to address priority initiatives supports provincial and territo-rial work through coordination, content development and communication; • the provincial/territorial level, where implementation of best practices in stroke prevention, treatment, rehabilita-tion and community reintegration occurs at the front lines of health care. Best Practices and Standards represent 1 of 5 Canadian Stroke Strategy national priority platforms. The goal of the Best Practices and Standards platform is to transform stroke prevention and care, ensuring that evidence-based best prac-tices are integrated into the Canadian health system. The development and dissemination of the Canadian Best Practice Recommendations for Stroke Care begins to address this goal. The Best Practices and Standards Working Group was es-tablished in response to the observation that stroke research findings do not always reach health care professionals, hospi-tal administrators, health ministries and, most importantly, persons with stroke. Thus, best practices are not consistently applied, leaving a significant gap in the quality of stroke care between what should be done and what is being done. The primary goal of the Canadian Stroke Strategy is to help close this gap. The membership list for the Best Practices and Stan-

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)0.027
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.263
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.103
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0130.012
Science and technology studies0.0030.002
Scholarly communication0.0080.003
Open science0.0070.003
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0300.015

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 head0.296
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2008
Admission routes1
Has abstractyes

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