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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.

11,332 results · 1 filter active ·
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20002025
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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.
11,332 works in the cohort · of 4,299,418page 121 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Learning and Intelligent Optimization
Dimitris E. Simos, Pãnos M. Pardalos
2021· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Minimum Convex Partitions and Maximum Empty Polytopes
Adrian Dumitrescu, Sariel Har-Peled, Csaba D. Tóth
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Approximate Deadline-Scheduling with Precedence Constraints
Hossein Efsandiari, MohammadTaghi Hajiaghyi, Jochen Könemann, Hamid Mahini, David Malec, Laura Sanità
2015· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Rethinking the Semantics of Complex Nominals
Nabil Abdullah, Richard Frost
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Dynamic Tangible User Interface Palettes
Martin Spindler, Victor Cheung, Raimund Dachselt
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Writing on Clouds
Vadim Mazalov, Stephen M. Watt
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
fundno affno abstractunlabeled
Numerical Methods and Applications
2023· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Integral Attacks on Round-Reduced Bel-T-256
Muhammad ElSheikh, Mohamed F. Tolba, Amr Youssef
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Kinetic Reverse k-Nearest Neighbor Problem
Zahed Rahmati, Valerie King, Sue Whitesides
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Trail Saving on Backtrack
Randy Hickey, Fahiem Bacchus
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Intelligent Computer Mathematics
Jacques Carette
2009· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Granular Data Regression with Neural Networks
Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Deepfake in the Metaverse: An Outlook Survey
Haojie Wu, Yong Liao, Reza Hadi Mogavi, Pan Hui, Pengyuan Zhou
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About