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
Research-Technology Management
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.

47 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.
47 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 47 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 47 of 47 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.

affunlabeled
Benchmarking Best NPD Practices—II
Robert G. Cooper, Scott J. Edgett, Elko J. Kleinschmidt
2004· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
234
citations
affunlabeled
Benchmarking Best NPD Practices—III
Robert G. Cooper, Scott J. Edgett, Elko J. Kleinschmidt
2004· article· en· Research-Technology Management· Engineering
machine prediction:candidate · noneconsensus · none
193
citations
affunlabeled
Total Rewards: Good Fit for Tech Workers
Steven Rumpel, John W. Medcof
2006· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
R&D Structure in A Changing World
Thomas M. Tirpak, Roger Miller, David Kashdan
2006· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
To Manage Innovation, Learn the Architecture
Roger Miller, Xavier Olleros
2008· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Grappling with Innovation
Robert G. Cooper
2007· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Upgrade Your New-Product Machine
Dan Adams, Sudhir Hublikar
2010· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Microsoft to Sell Non-Core Tech
John Blau
2006· article· en· Research-Technology Management· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
A Fresh Twist on Online Learning
Peter Gwynne
2013· article· en· Research-Technology Management· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
China Comes Calling
Peter Gwynne
2013· article· en· Research-Technology Management· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Kendall Square Phenomenon
Peter Gwynne
2013· article· en· Research-Technology Management· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Economics of Artificial Intelligence
Jim Euchner, Ajay Agrawal
2025· article· en· Research-Technology Management· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
24/7 or Out?
Gale Cutler
2003· article· en· Research-Technology Management· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Cambridge Spurs High-Tech Growth
Luke Collins
2004· article· en· Research-Technology Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Global Look at Young Scientists
Peter Gwynne
2015· article· en· Research-Technology Management· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Teaching Chinese R&D Managers
Tom Clarke
2007· article· en· Research-Technology Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
R&D on the Fast Track to Globalization
Eric R. Larson
2011· article· en· Research-Technology Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lab-on-a-Chip Coming of Age
Manny Frishberg
2017· article· en· Research-Technology Management· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
24/7 or out? (the Human Side)
Gale Cutler
2003· article· en· Research-Technology Management· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Resuscitating the Rare Earths
Peter Gwynne
2011· article· en· Research-Technology Management· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Smart Cars Need Smart Roads
John Blau
2015· article· en· Research-Technology Management· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About