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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.

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Big Data and Business Intelligence
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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
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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 ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 24 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.

affunlabeled
Serious games and business informatics
Imed Boughzala, Kafui Monu
2016· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preparing for happenstance
Jennifer Carey
2025· article· en· Journal of medical imaging and radiation sciences· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Information Systems and Technologies
Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla
2024· book· en· Lecture notes in networks and systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Business ecosystem related to scientific periodicals
Michelle Harbour
2019· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
#NOPE to a New Ottawa Jail
2017· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Biostatistics and Data Analysis
Mehmet M. Dalkıiliıç
2009· book-chapter· en· Encyclopedia of Database Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Scientific data informatics
William L. Anderson
2013· dataset· en· Figshare· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The DataLad Handbook
Adina Wagner, Laura K. Waite, Kyle Meyer, Marisa K. Heckner, Tobias Kadelka, Niels Reuter +34 more
2022· book· en· Zenodo (CERN European Organization for Nuclear Research)· Business, Management and Accounting
machine prediction:candidate · open_scienceconsensus · none
0
citations
affno abstractunlabeled
The 21st Capability of Data Scientist
Seigen Hagiwara
2017· article· en· Ouyou toukeigaku· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(10)70433-6
2000· article· en· Time to knit· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.51847/PrttpFNx09
2000· article· en· Time to knit· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Information Technology in Retail Sector
Aruna R Shet
2016· article· en· International Journal of Scientific Engineering and Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Why do projects join the Apache Software Foundation?
Isabella Ferreira, Nan Yang, Alexander Serebrenik, Bram Adams
2022· dataset· en· Figshare· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Data Science and Emerging Technologies
2024· book· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Big Data Analytics in Cloud Computing
Goutham Sabbani
2024· article· en· International Journal of Science and Research (IJSR)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
It's time to get to know AI.
John Hickner
2019· editorial· en· PubMed· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The DataLad Handbook
Adina Wagner, Laura K. Waite, Kyle Meyer, Marisa K. Heckner, Tobias Kadelka, Niels Reuter +38 more
2022· book· en· Zenodo (CERN European Organization for Nuclear Research)· Business, Management and Accounting
machine prediction:candidate · open_scienceconsensus · none
0
citations
affaboutunlabeled
Introducing AI & Innovation
Mirko Farina, Xiao Yu, Rongrong Ji, Jin Chen, Vincent Blok, Paolo Ciancarini +2 more
2025· article· en· AI & Innovation· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

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