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
IGI Global eBooks
Topic
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.

3,595 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.
3,595 works in the cohort · of 4,299,418page 53 of 72

Labels cover 8 of 3,595 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 3,595 of 3,595 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.

aboutno affunlabeled
Radicalization and Recruitment
Anthony J. Masys
2017· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Selecting the Right RTLS in Hospitals
Ygal Bendavid
2016· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
E-Business for SME Development
Éliane M.F. Moreau, Louis Raymond, Bernard Vermot-Desroches
2011· book-chapter· en· IGI Global eBooks· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Rural Learning Challenge
Al Lauzon
2017· book-chapter· en· IGI Global eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Beam Analysis Tool (BAT)
Peter Burrage, Leslee Francis Pelton
2005· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
E-Business Reference Models
Vojislav B. Mišić, J. Leon Zhao
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Multi-Agent Systems in Developing Countries
Dean Yergens, Julie Hiner, Jörg Denzinger
2010· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Would Be Pirates
Melanie J. Mortensen
2005· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Learning Agents for Collaborative Driving
Charles Desjardins, Julien Laumônier, Brahim Chaib-draa
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Software and Culture
Gregory E. Kersten, Mik Kersten, Wojciech M. Rakowski
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Telework and the Canadian Environment
Stefane Kabene, Raymond Leduc, Rick Burjaw
2005· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
FCVW
Ivan Tomek, Elhadi Shakshuki
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SME B2B E-Commerce and Customer Loyalty Revisited
Assion Lawson‐Body, Timothy P. O’Keefe
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
#TerroristFinancing
Michael L. Tierney
2018· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Fall of the Fourth Wall
Samantha Stahlke, James Robb, Pejman Mirza-Babaei
2021· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Exploring the Spread of Zika
Oluwakemi Ola, Olha Buchel, Kamran Sedig
2018· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Policy Processes for Technological Change
Richard J. Smith, Brian Lewis, Christine Massey
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Demystifying eHealth Human Resources
Candace J. Gibson, H. Dominic Covvey
2011· book-chapter· en· IGI Global eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About