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
Meta-analysis and systematic reviews
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.

4,076 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.
4,076 works in the cohort · of 4,299,418page 10 of 82

Labels cover 359 of 4,076 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 4,076 of 4,076 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.

afffundunlabeled
How to Use an Article About Quality Improvement
Eddy Fan, Andreas Laupacis, Peter J. Pronovost, Gordon Guyatt, Dale M. Needham
2010· article· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
134
citations
affunlabeled
THE INTENTION-TO-TREAT PRINCIPLE
VIKRANT K. BUBBAR, Hans J. Kreder
2006· article· en· Journal of Bone and Joint Surgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
131
citations
affgpt · metaresearch+metaepi_broadgrok · metaresearch+metaepi_broadopus · metaresearch+metaepi_broadmodels split
Evaluating Meta-analyses in the General Surgical Literature
Elijah Dixon, Morad Hameed, Francis Sutherland, Christopher J. Doig
2005· article· en· Annals of Surgery· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · none
131
citations
affunlabeled
Metasynthetic Madness
Sally Thorne
2016· editorial· en· Qualitative Health Research· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
129
citations
afffundno abstractunlabeled
Top-Cited Articles in Rehabilitation
Babak Shadgan, Marc Roig, Bahareh HajGhanbari, W. Darlene Reid
2010· review· en· Archives of Physical Medicine and Rehabilitation· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
128
citations
affvenueunlabeled
The top 100 cited articles in urology
Kiara Hennessey, Kourosh Afshar, Andrew E. MacNeily
2013· article· en· Canadian Urological Association Journal· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
127
citations
affunlabeled
What are sensitivity and specificity?
Amelia Swift, Roberta Heale, Alison Twycross
2019· article· en· Evidence-Based Nursing· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
120
citations
affunlabeled
How to conduct systematic reviews more expeditiously?
Alexander Tsertsvadze, Yen‐Fu Chen, David Moher, Paul Sutcliffe, Noel McCarthy
2015· article· en· Systematic Reviews· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
120
citations
affunlabeled
How do I interpret a confidence interval?
Sheila F. O’Brien, Qi Long Yi
2016· review· en· Transfusion· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
119
citations
affunlabeled
“How-to”: scoping review?
Danielle Pollock, Catrin Evans, Romy Menghao Jia, Lyndsay Alexander, Dawid Pieper, Érica Brandão de Moraes +5 more
2024· article· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
115
citations

How this was built: Screen · Findings · About