MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Health Policy Implementation Science
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,272 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,272 works in the cohort · of 4,299,418page 1 of 86

Labels cover 308 of 4,272 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 4,272 of 4,272 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundgemma · metaresearchgpt · metaresearchmodels agree
Scoping studies: advancing the methodology
Danielle Levac, Heather Colquhoun, Kelly K. O’Brien
2010· article· en· Implementation Science· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
14,722
citations
affaboutunlabeled
Thematic Analysis
Lorelli Nowell, Jill M. Norris, Deborah White, Nancy J. Moules
2017· article· en· International Journal of Qualitative Methods· Health Professions
machine prediction:candidate · metaresearchconsensus · none
12,861
citations
afffundunlabeled
Knowledge translation of research findings
Jeremy Grimshaw, Martin Eccles, John N. Lavis, Sophie Hill, Janet E. Squires
2012· article· en· Implementation Science· Health Professions
machine prediction:candidate · metaresearchconsensus · none
2,529
citations
afffundunlabeled
A scoping review on the conduct and reporting of scoping reviews
Andrea C. Tricco, Erin Lillie, Wasifa Zarin, Kelly K. O’Brien, Heather Colquhoun, Monika Kastner +9 more
2016· review· en· BMC Medical Research Methodology· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
2,221
citations
affunlabeled
Standards for Reporting Implementation Studies (StaRI) Statement
Hilary Pinnock, Melanie Barwick, Christopher R. Carpenter, Sandra Eldridge, Gonzalo Grandes, Chris Griffiths +6 more
2017· review· en· BMJ· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
1,505
citations
afffundunlabeled
RAMESES publication standards: realist syntheses
Geoff Wong, Trisha Greenhalgh, Gill Westhorp, Jeanette Buckingham, Ray Pawson
2013· article· en· BMC Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
1,347
citations
fundno affgpt · no categorygrok · no categoryopus · metaresearchmodels split
Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study
Thomas J. Waltz, Byron J. Powell, Monica M. Matthieu, Laura J. Damschroder, Matthew Chinman, Jeffrey L. Smith +2 more
2015· article· en· Implementation Science· Health Professions
machine prediction:candidate · noneconsensus · none
1,177
citations
affunlabeled
Users' Guides to the Medical Literature
Mita Giacomini
2000· article· en· JAMA· Health Professions
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
924
citations
fundno affunlabeled
RAMESES II reporting standards for realist evaluations
Geoff Wong, Gill Westhorp, Ana Manzano, Joanne Greenhalgh, Justin Jagosh, Trisha Greenhalgh
2016· article· en· BMC Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
918
citations
affunlabeled
Triangulation in research, with examples
Helen Noble, Roberta Heale
2019· editorial· en· Evidence-Based Nursing· Health Professions
machine prediction:candidate · metaresearchconsensus · none
690
citations
affunlabeled
An Evidence‐Based Approach to Scoping Reviews
Hanan Khalil, Micah D.J. Peters, Christina Godfrey, Patricia McInerney, Cássia Baldini Soares, Deborah Parker
2016· article· en· Worldviews on Evidence-Based Nursing· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
670
citations

How this was built: Screen · Findings · About