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Record W2060293366 · doi:10.1503/cmaj.081229

Defining knowledge translation

2009· review· en· W2060293366 on OpenAlexaffvenue
Sharon E. Straus, Jacqueline Tetroe, Ian D. Graham

Bibliographic record

VenueCanadian Medical Association Journal · 2009
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsCanadian Institutes of Health ResearchUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsThe InternetHealth careKnowledge translationComputer scienceQuality (philosophy)Internet privacyWorld Wide WebMedicineKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

We cannot pick up a magazine or surf the Internet without facing reminders of the challenges to health care and the “sorry state” of health systems. [1][1] All health care systems are faced with the challenges of improving quality of care and reducing the risk of adverse events. [2][2] Globally

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)0.030
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.080
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.008
Science and technology studies0.0030.016
Scholarly communication0.0150.024
Open science0.0030.013
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0200.019

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 head0.380
GPT teacher head0.457
Teacher spread0.077 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreReview

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

Citations997
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Medical Association JournalSame topicHealth Systems, Economic Evaluations, Quality of LifeFrench-language works237,207