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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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Advanced Graph Neural Networks
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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
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.

518 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.
518 works in the cohort · of 4,299,418page 10 of 11

Labels cover 2 of 518 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 518 of 518 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.

affno abstractunlabeled
Deep learning: fundamentals
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal, James R. Foulds
2025· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3712285.3787177
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Similarity of Concepts in Weighted Knowledge Graphs
Yongfan Wang, Ronald R. Yager, Marek Reformat
2024· book-chapter· en· Lecture notes in networks and systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Knowledge Translation
Bahar Ghadiri Bashardoost
2022· dissertation· TSpace· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Incorporating background knowledge in tucker
Joss Razanakoto Rakotobe, Hao Yu Zhang
2021· article· en· International journal of advance research, ideas and innovations in technology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Results
Mosab Alfaqeeh, David B. Skillicorn
2024· book-chapter· en· Lecture notes in social networks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Learning Graph Weighted Models on Pictures.
Philip Amortila, Guillaume Rabusseau
2018· article· en· International Colloquium on Grammatical Inference· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Longitudinal Network
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Training Industry-scale GNNs with GiGL
Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah
2025· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About