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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 22 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
Universal Succinct Representations of Trees?
Arash Farzan, Rajeev Raman
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Exploring Haptic Feedback in Exergames
Tadeusz Stach, T.C. Nicholas Graham
2011· book-chapter· en· Lecture notes in computer science· Psychology
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Characterization of Graphs Using Degree Cores
John J. Healy, Jeannette Janssen, Evangelos Milios, William Aiello
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Software Implementation of Arithmetic in
Omran Ahmadi, Darrel Hankerson, Alfred Menezes
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
L-ToPSS – Push-Oriented Location-Based Services
Ioana Burcea, Hans‐Arno Jacobsen
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Group Testing and Batch Verification
Gregory M. Zaverucha, Douglas R. Stinson
2010· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Implementing a Multi-valued Symbolic Model Checker
Marsha Chećhik, Benet Devereux, Steve Easterbrook
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Real-Time Decision Making for Large POMDPs
Sébastien Paquet, Ludovic Tobin, Brahim Chaib-draa
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Programming with Crosscutting Effective Views
Doug Janzen, Kris De Volder
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
An Experimental Study of Adaptive Capping in irace
Leslie Pérez Cáceres, Manuel López‐Ibáñez, Holger H. Hoos, Thomas Stützle
2017· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Autonomous and Intelligent Systems
Mohamed S. Kamel, Alaa Khamis, Wail Gueaieb, Fakhri Karray
2011· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Asymmetric Image-Template Registration
Mert R. Sabuncu, B.T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
2009· article· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Beyond CNF: A Circuit-Based QBF Solver
Alexandra Goultiaeva, Vicki Iverson, Fahiem Bacchus
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Privacy-Preserving Telemonitoring for eHealth
Mohamed Layouni, Kristof Verslype, Mehmet Tahir Sandıkkaya, Bart De Decker, Hans Vangheluwe
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Induction Variable Analysis with Delayed Abstractions
Sebastian Pop, Albert Cohen, Georges-André Silber
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Intermodeling, Queries, and Kleisli Categories
Zinovy Diskin, Tom Maibaum, Krzysztof Czarnecki
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations

How this was built: Screen · Findings · About