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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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Graph Theory and Algorithms
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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
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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.

423 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.
423 works in the cohort · of 4,299,418page 6 of 9

Labels cover 2 of 423 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 423 of 423 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.

aboutno affunlabeled
The long tail pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
On Indidence Energy of Tree.
Liqiong Xu, Xaohui Xu
2016· article· en· Ars Combinatoria· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Network Models
H. A. Eiselt, Carl-Louis Sandblom
2010· book-chapter· en· Operations Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Session details: Computation on GPUs
2003· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
nissan juke 2020 owners manual pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Multiprocessor Query Processing
University Research Chair
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AutoGraphiX: A Survey
Mustapha Aouchiche, Gilles Caporossi, Pierre Hansen, M. Laffay
2005· article· fr· Les Cahiers du GERAD· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
kraina-ai/quackosm: 0.16.0
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Graphs and Trees
Tom Jenkyns, Ben Stephenson
2018· book-chapter· en· Undergraduate topics in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Graph Search Algorithms
2024· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Graph Compression
James M. Hughes, Sheridan Houghten, Michael P. Dubé, Daniel Ashlock, Joseph Alexander Brown, Wendy Ashlock +1 more
2024· book-chapter· en· Synthesis lectures on learning, networks, and algorithms· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Queering Cannabis
2019· article· en· cIRcle (University of British Columbia)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Practical Survey on MapReduce Subgraph Enumeration Algorithms
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
2022· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
LRGB: Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu +1 more
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
the summer i turned pretty book 2 pdf download
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
sing we the song of emmanuel pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affno abstractunlabeled
Which Graph Layout Gives a Good Shape for Large Graphs?
Quan Nguyen, Peter Eades, Seok-Hee Hong
2017· article· en· Graph Drawing E-print Archive (Die Universität zu Köln)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
#SafeHandsSafeHearts intervention.
2024· article· en· Figshare· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Corrigendum to "Best match graphs"
2021· article· en· Greater South Information System· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About