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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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Conference of the Centre for Advanced Studies on Collaborative Research
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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
Evidence
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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 2 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
Ontology driven temporal event annotator mHealth application framework.
Amente Bekele, Joe Samuel, Shermeen Nizami, Amna Basharat, Randy Giffen, James R. Green
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
A source-to-source transformation tool for error fixing
Youry Khmelevsky, Martin Rinard, Stelios Sidiroglou-Douskos
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
6
citations
affno abstractunlabeled
SLO request modeling, reordering and scaling.
Panagiotis Patros, Kenneth B. Kent, Michael Dawson
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · stsconsensus · none
6
citations
affunlabeled
Simulating DB2 buffer pool management
Wenguang Wang, Richard B. Bunt
2000· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
On tabular expressions
Ryszard Janicki, Alan Wassyng
2003· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
Towards semantic data analysis
Mohsen Rais-Ghasem, Robin Grosset, Martin Petitclerc, Qing Wei
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Utilizing histogram information
Hai Wang, Ken Sevcik
2001· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
YaKit: a locality based messaging system using iCon overlay
Ronald J. Desmarais, Przemek Lach, Hausi Müller
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Incremental software design modelling
Omar Alam, Jörg Kienzle
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Cloud-based security services for the smart grid
Md. Mahmud Hasan, Hussein T. Mouftah
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Engineering
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Applying data mining to software maintenance records
Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin
2003· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Dynamic context extraction in personal communication applications
Andreas Bergen, Nina Taherimakhsousi, Pratik Jain, Lorena Castañeda, Hausi Müller
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Towards the profiling of scientific software for accuracy
Nicholas Jie Meng, Diane Kelly, Thomas Dean
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
3
citations
affno abstractunlabeled
The 3rd international workshop on dew computing.
Yingwei Wang, Karolj Skala
2018· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · stsconsensus · none
2
citations
affunlabeled
Scheduling functional regression tests for IBM DB2 products
Edward Xia, Igor Jurišica, Julie Waterhouse, Valerie Sloan
2005· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Code the future!: teach kids to program in ELM.
Bill O’Farrell, Christopher Kumar Anand
2017· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Social Sciences
distilled prediction:candidate · stsconsensus · none
2
citations

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