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
Business & Information Systems Engineering
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.

20 results · 1 filter active ·
Results by year
20122025
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.
20 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 20 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 20 of 20 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.

fundno affno abstractunlabeled
Technostress from a Neurobiological Perspective
René Riedl‬, Harald Kindermann, Andreas Auinger, Andrija Javor
2012· article· en· Business & Information Systems Engineering· Psychology
machine prediction:candidate · noneconsensus · none
238
citations
afffundunlabeled
Algorithmic Management
Alexander Benlian, Martin Wiener, W. Alec Cram, Hanna Krasnova, Alexander Maedche, Mareike Möhlmann +2 more
2022· article· en· Business & Information Systems Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
139
citations
affunlabeled
Digital Entrepreneurship: What is New if Anything?
Dennis M. Steininger, M. Kathryn Brohman, Joern Block
2022· article· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
55
citations
afffundno abstractunlabeled
Designing Business Analytics Solutions
Soroosh Nalchigar, Eric Yu
2018· article· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Enhancing Sustained Attention
Théophile Demazure, Alexander J. Karran, Pierre‐Majorique Léger, Élise Labonté-LeMoyne, Sylvain Sénécal, Marc Frédette +1 more
2021· article· en· Business & Information Systems Engineering· Neuroscience
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Call for Papers, Issue 1/2022
Joern Block, M. Kathryn Brohman, Dennis M. Steininger
2020· paratext· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
7
citations
affno abstractunlabeled
Challenges and Outcomes Using Big Data as a Service
Gautam Srivastava, Christoph M. Flath, Jerry Chun‐Wei Lin, Yudong Zhang
2023· article· en· Business & Information Systems Engineering· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Call for Papers, Issue 3/2025
Adela del–Río–Ortega, Iris Beerepoot, Han van der Aa, Jöerg Evermann
2023· paratext· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Economics and Value of IS
Kunsoo Han, Dennis Kundisch, Christof Weinhardt, Steffen Zimmermann
2015· article· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Call for Papers, Issue 1/2024
Jerry Chun‐Wei Lin, Gautam Srivastava, Yudong Zhang, Christoph M. Flath
2022· paratext· en· Business & Information Systems Engineering· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Process Mining Without Perfect Data? Anne Rozinat Says Yes!
Adela del–Río–Ortega, Iris Beerepoot, Han van der Aa, Jöerg Evermann
2025· article· en· Business & Information Systems Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Call for Papers, Issue 1/2024
Jerry Chun‐Wei Lin, Gautam Srivastava, Yudong Zhang, Christoph M. Flath
2022· paratext· en· Business & Information Systems Engineering· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Mapping Uncharted Territory
Adela del–Río–Ortega, Iris Beerepoot, Han van der Aa, Jöerg Evermann
2025· article· en· Business & Information Systems Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About