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
Delphi Technique in Research
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.

1,476 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.
1,476 works in the cohort · of 4,299,418page 2 of 30

Labels cover 20 of 1,476 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 1,476 of 1,476 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.

affno abstractunlabeled
The Delphi method—more research please
Susan Humphrey‐Murto, Maarten de Wit
2018· letter· en· Journal of Clinical Epidemiology· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
146
citations
affno abstractunlabeled
The Delphi Method
Susan Humphrey‐Murto, Timothy J. Wood, Carol Gonsalves, Kelly Mascioli, Lara Varpio
2019· article· en· Academic Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
127
citations
afffundunlabeled
A Core Outcome Set for Critical Care Ventilation Trials
Bronagh Blackwood, Suzanne Ringrow, Mike Clarke, John C. Marshall, Bronwen Connolly, Louise Rose +1 more
2019· article· en· Critical Care Medicine· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
108
citations
affunlabeled
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, R Brady, Rachael A. Callcut +34 more
2022· article· en· npj Digital Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
84
citations
affno abstractunlabeled
Infographic: Consensus statement on concussion in sport
Paul McCrory, Willem Meeuwisse, Jiří Dvořák, Mark Aubry, Julian E. Bailes, Steven P. Broglio +30 more
2017· editorial· en· British Journal of Sports Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
81
citations

How this was built: Screen · Findings · About