MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Big Data and Business Intelligence
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.

1,633 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.
1,633 works in the cohort · of 4,299,418page 28 of 33

Labels cover 10 of 1,633 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 1,633 of 1,633 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
First-quarter chemical earnings please
Alex Tullo
2021· article· en· C&EN Global Enterprise· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Moving Your Library to the Cloud
Carrie Rampp, Jennifer Clarke, Bill Burkholder
2012· book-chapter· en· Purdue University Press eBooks· Business, Management and Accounting
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Data Management Planning
John Brosz
2018· article· en· Open MIND· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Why Storytelling?
Maris Sekar
2022· book-chapter· en· Apress eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Evaluating Vendor Supplied Information
Patrick J. Fahy
2002· article· en· The International Review of Research in Open and Distributed Learning· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data Warehouse Back Stage
Ling Liu, M. TAMER ÖZSU
2009· book-chapter· en· Encyclopedia of Database Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From the chair
Janice C. Sipior, Diane Lending, Donald L. Amoroso, Conrad Shayo, Susan A. Vowels
2009· article· en· ACM SIGMIS Database the DATABASE for Advances in Information Systems· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Decision Making Complexities in the Information Era
Dinesh Rathi
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Future of Science: Big Data Meets Scholarly Impact
Tasneem Badshah, Tony Xu, Shayan Khalili, Cynthia Deng, Peter Chou, Kevin Hong +52 more
2017· article· en· STEM Fellowship Journal· Business, Management and Accounting
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affunlabeled
The Big Role of Data Analytics in the Industrial Internet of Things
Prof. Jayanth Kumar Rathod, Komal Kalikar, D P Mounashree, M. R. Rashmi, N Dhanushree, Bibifatima
2024· article· en· International Journal of Advanced Research in Science Communication and Technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
DEVELOPMENTS AND NEW DIRECTIONS AT <i>ORGANIZATIONAL ANALYSIS</i>
Michael G. Bowen, Ronald J. Burke, Gary J. Castrogiovanni, James H. Dulebohn, Mingfang Li, Daniel J. Svyantek
2004· article· en· Organizational Analysis· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Software Experts Summit Advertisement
James A. Whittaker, Wolfram Schulte, J. G. R. Howie, Ayşe Bener, Jeromy Carrière, Paul Zikopoulos
2013· article· en· IEEE Software· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Human AI - How Big Data is Big Enough?
KC Santosh
2025· article· en· Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data Rescue Internships
Diane S. Srivastava, Jason Pither, Jennifer M. Sunday, Mary OʼConnor, Gavin L. Simpson, Sally Taylor +4 more
2020· article· en· OSF Preprints (OSF Preprints)· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
NSIS Proceedings: Introduction
Introduction NSIS Proceedings Introduction and Executive
2006· article· en· Proceedings of the Nova Scotian Institute of Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Standards and EO Data Platforms
Ingo Simonis, Karel Charvát
2021· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Cloud Computing and Services Science
Donald Ferguson, Markus Helfert, Claus Pahl
2022· book· en· Communications in computer and information science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preparation: data preprocessing and exploratory data analysis
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal, James R. Foulds
2025· book-chapter· en· Elsevier eBooks· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affno abstractunlabeled
Inteligência artificial: entre promessas e ameaças
Antônio Ribeiro de Almeida, GABRIEL ADRIAN SARRIES, Robson Campos de Lima, Tainá Yumi Patriani, Gon Ramos Barroso, Fernanda Fernandes Santos +1 more
2023· article· pt· CTS em foco Boletim da ESOCITE BR· Business, Management and Accounting
machine prediction:candidate · stsconsensus · none
0
citations
affno abstractunlabeled
We Need Your Help!
V. Kumar
2024· book-chapter· en· Palgrave executive essentials· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
BASF surprises with strong earnings
Alex Tullo
2021· article· en· C&EN Global Enterprise· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Log Analysis
Maris Sekar
2022· book-chapter· en· Apress eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About