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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 62 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
Requirements for Machine Lifelong Learning
Daniel Silver, Ryan Poirier
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Adjectives: A Uniform Semantic Approach
Nabil Abdullah, Richard Frost
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Multi-core Fixed Priority DVS Scheduling
Liu Yang, Man Lin, Laurence T. Yang
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Unconstrained vs. Constrained 3D Scene Manipulation
Tim Salzman, Szymon Stachniak, Wolfgang Stuerzlinger
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Toward Cross-Language and Cross-Media Image Retrieval
Ahmed Id Oumohmed, Max Mignotte, Jian‐Yun Nie
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Anonymous k-Show Credentials
Mohamed Layouni, Hans Vangheluwe
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
The Threat of SSL/TLS Stripping to Online Voting
Anthony Cardillo, Aleksander Essex
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Network Bargaining with General Capacities
Linda Farczadi, Konstantinos Georgiou, Jochen Könemann
2013· book-chapter· en· Lecture notes in computer science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Minimizing Cache Usage in Paging
Alejandro López-Ortíz, Alejandro Salinger
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Monte-Carlo Methods in Pool Strategy Game Trees
Will Leckie, Michael Greenspan
2007· book-chapter· en· Lecture notes in computer science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
The PrePack Optimization Problem
Maxim Hoskins, Renaud Masson, Gabrielle Gauthier Melançon, Jorge E. Mendoza, Christophe Meyer, Louis-Martin Rousseau
2014· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Exceptional Transformations
Eugene Syriani, Jörg Kienzle, Hans Vangheluwe
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Tuning Runtimes in Open Source FaaS
David Balla, Markosz Maliosz, Csaba Simon, Dániel Géhberger
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Large Angle Crossing Drawings of Planar Graphs in Subquadratic Area
Patrizio Angelini, Giuseppe Di Battista, Walter Didimo, Fabrizio Frati, Seok-Hee Hong, Michael Kaufmann +2 more
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Automated Reasoning in $\mathcal{ALCQ}$ via SMT
Volker Haarslev, Roberto Sebastiani, Michele Vescovi
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Corrective Enforcement of Security Policies
Raphaël Khoury, Nadia Tawbi
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
One-Class Genetic Programming
Robert Curry, Malcolm I. Heywood
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations

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