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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.

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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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Advanced Computational Techniques and Applications
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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.

796 results · 1 filter active ·
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20002025
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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.
796 works in the cohort · of 4,299,418page 1 of 16

Labels cover 1 of 796 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 796 of 796 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.

venueno affunlabeled
The Comparison of SOM and K-means for Text Clustering
Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li
2010· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Challenges of Operational Weather Forecast Verification and Evaluation
Thomas C. Pagano, Barbara Casati, Stephanie Landman, Nicholas Loveday, Robert Taggart, Elizabeth E. Ebert +14 more
2024· article· en· Bulletin of the American Meteorological Society· Computer Science
machine prediction:candidate · metaresearchconsensus · none
13
citations
venueno affunlabeled
DYNAMIC BEHAVIOR OF A STEEL PLATE SUBJECTED TO BLAST LOADING
Jong Yil Park, Eunsun Jo, Min Sook Kim, Seung Jae Lee, Young Hak Lee
2016· article· en· Transactions of the Canadian Society for Mechanical Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Theme Issue on Dynamic and Multi-Dimensional GIS
Y.C Lee, Martien Molenaar
2000· article· en· ISPRS Journal of Photogrammetry and Remote Sensing· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Ocean and Coastal Data Stewardship
Margarita Conkright-Gregg
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
A Conceptual Model for the Pliocene Paradox
Brady Dortmans, William F. Langford, Allan R. Willms
2018· book-chapter· en· Springer proceedings in mathematics & statistics· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
LEKA: LLM-Enhanced Knowledge Augmentation
Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu
2025· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Ontologies Acquisition from Relational Databases
Shu‐Feng Zhou, Guangwu Meng, Haiyun Ling
2010· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Uniform Sampling on the Standard Simplex
Allan R. Willms
2021· article· en· Missouri Journal of Mathematical Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
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