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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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Data Mining Algorithms 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.

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.

1,100 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.
1,100 works in the cohort · of 4,299,418page 16 of 22

Labels cover 1 of 1,100 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 1,100 of 1,100 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Multi-view ANNs for Multi-relational Classification
Hongyu Guo, Herna L. Viktor
2006· article· en· The 2006 IEEE International Joint Conference on Neural Network Proceedings· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Certificate Revocation
Carlisle Adams
2011· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Web Usage Mining with Web Logs
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
INTEGRATED CLUSTERING FOR MICROARRAY DATA
Gabriela Moise, Jörg Sander
2006· book-chapter· en· Science, engineering, and biology informatics· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Analyzing open data from the city of Montreal
Joëlle Pineau, Pierre‐Luc Bacon
2015· article· en· International Conference on Machine Learning· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
1
citations
afffundunlabeled
Optimal Sparse Survival Trees
Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin
2024· preprint· en· PubMed· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Data mining in mental health
K. Ponnambalam
2006· article· en· international conference on Modelling and simulation· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Background and Related Work
Robert J. Hilderman, Howard J. Hamilton
2001· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Relational Data Mining
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Relationship Extraction
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
CFAR++: Enhancing Rule Based Classifier
Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zai͏̈ane
2023· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Using Heuristics to Speed Up Frequent Pattern Mining
Pierre Hansen, Alain Hertz, Philippe Galinier, Christian Desrosiers
2008· article· fr· Les Cahiers du GERAD· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Fundamental results in probability theory
Zizhou Fang, Kaixi Tan, Ziyi Wang
2023· article· en· Highlights in Science Engineering and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Proceedings of the 2017 AdKDD & TargetAd Workshop
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljević +1 more
2017· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
0
citations

How this was built: Screen · Findings · About