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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.

This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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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.

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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.

4,299,418 results · 0 filters active
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,299,418 works in the cohort · of 4,299,418page 1,996 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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.

afffundaboutunlabeled
Deploying a Top-100 Supercomputer for Large Parallel Workloads
Marcelo Ponce, Ramses van Zon, Scott Northrup, Daniel Gruner, Joseph S. Chen, Fatih Ertinaz +11 more
2019· preprint· en· Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)· Computer Science
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
A New Approach to Describe Web Services
Hongbing Wang, Hui Liu, Chen Wang, Patrick C. K. Hung
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
171
citations
affno abstractunlabeled
Rent-seeking for pure public goods
Eliakim Katz, Shmuel Nitzan, Jacob Rosenberg
2001· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
DyRT
Doug L. James, Dinesh K. Pai
2002· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
171
citations
affunlabeled
Jaudio: An Feature Extraction Library.
Daniel McEnnis, Cory McKay, Ichiro Fujinaga, Philippe Depalle
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
Same Stats, Different Graphs
Justin Matejka, George Fitzmaurice
2017· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
171
citations
affunlabeled
Research opportunities in purchasing and supply management
Tobias Schoenherr, Sachin B. Modi, W.C. Benton, Craig R. Carter, Thomas Y. Choi, Paul D. Larson +4 more
2011· article· en· International Journal of Production Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
170
citations
affno abstractunlabeled
Error resiliency schemes in H.264/AVC standard
Sunil Kumar, Liyang Xu, Mrinal Mandal, Sethuraman Panchanathan
2005· article· en· Journal of Visual Communication and Image Representation· Computer Science
machine prediction:candidate · noneconsensus · none
170
citations

How this was built: Screen · Findings · About