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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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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.

172 results · 1 filter active ·
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20002019
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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.
172 works in the cohort · of 4,299,418page 3 of 4

Labels cover 0 of 172 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 172 of 172 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
The theory and applications of dew computing.
Yingwei Wang
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · stsconsensus · none
2
citations
affunlabeled
Identifying opportunities for automatic remote field cloning
Christopher Barton, Peng Zhao, Robert Niewiadomski, José Nelson Amaral
2004· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Guiding multidimensional analysis using decision trees
Frank van Ham, Martin Petitclerc, Ramon Pisters
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
MapReduce garbage collection
Shady Khalifa, Tianbin Jiang, Patrick Martin
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
2 nd Workshop on Smart Surveillance System Applications
Iosif Viorel Onut, Don Aldridge, Marcellus Mindel, Stephen Perelgut
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Ranking co-change candidates of micro-clones.
Manishankar Mondal, Banani Roy, Chanchal K. Roy, Kevin A. Schneider
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
LL(k) optimization of a network protocol parser generator.
Kyle Lavorato, Fahim T. Imam, Thomas Dean
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Privacy and security of smart grid communication
Shahram Shah Heydari, Walid Rjaibi, Khalil El‐Khatib, Julie Thorpe
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Advances in open runtime technologies for the cloud.
Daryl Maier, Kenneth B. Kent
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · sts+open_scienceconsensus · none
1
citations
affno abstractunlabeled
Evaluating music mastering quality using machine learning.
Mark Shtern, Pedro Casas, Vassilios Tzerpos
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · stsconsensus · none
1
citations
affno abstractunlabeled
Improving garbage collection-time string deduplication.
Konstantin Nasartschuk, Kenneth B. Kent, Stephen A. MacKay, Aleksandar Micić, Charlie Gracie
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Environmental Science
distilled prediction:candidate · stsconsensus · none
1
citations
affno abstractunlabeled
A hands-on tutorial on deep learning for object and pattern recognition.
Farhana Zulkernine, Haruna Isah, Sazia Mahfuz, Mohammed Gasmallah, Jason Lam, Shahzad Khan
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Software modeling for embedded and mobile sensor system
Ramiro Liscano, Juergen Dingel, Dorina C. Petriu, Faisal Z. Qureshi
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Taming services for IBM cloud.
Nazim H. Madhavji, John Steinbacher, Andriy Miranskyy, Tony Erwin, A. Ibrahim, Priyanka Prakash Naikade +3 more
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fourth annual workshop on data-driven knowledge mobilization.
Ehsan Noei, Kelly Lyons, Eleni Stroulia, Periklis Andritsos
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearch+stsconsensus · none
0
citations
affno abstractunlabeled
MicroJIT: a lightweight, just-in-time compiler to improve startup times.
Federico Sogaro, Eric Aubanel, Kenneth B. Kent, Vijay Sundaresan, Marius Pirvu, Peter Shipton
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Graphics programming in elm develops math knowledge & social cohesion.
Yingsheng Zhang, Anirudh Verma, Chinmay Sheth, Christopher William Schankula, Stephanie Koehl, Andrew D. Kelly +2 more
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Compiler-driven performance workshop.
Clark Verbrugge, José Nelson Amaral, Reid Copeland, Whitney T. Tsang
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Quality software for quality service (QS4QS)
Ladan Tahvildari, Mohammad Zulkernine
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
DB2 LUW optimizer: beginner to intermediate guide
Anthony Reina, Zoran Kulina
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
DevOps toolchains for continuous engineering and improvement
Kostas Kontogiannis, Don Cronin, Alberto Giammaria, Chris Brealey, Marios Grigoriou
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hands-on OSGi tools in a day
Peter N. Moogk, Andrew Mak, Zina Mostafia
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data-driven medicine: promise and challenges.
Tomáš Tokár, Igor Jurišica, Naomi P. Visanji, Christian Veillette
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Business analytics trends and opportunities
Craig Statchuk
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Analyzing and visualizing the canadian research landscape.
Victor N. Silva, Ashley Herman, Elisa Du, Bowen Hu, Lianne Lefsrud, Jörg Sander +2 more
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearch+sts+scholarly_communicationconsensus · none
0
citations
affunlabeled
Security tools: TSIEM and AppScan source for security
Yu-Ping Ding, Greg Stager
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

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