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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.

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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 128 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
Adaptive and Learning Agents
Peter Vrancx, Matthew D. Knudson
2012· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Validating Safety Arguments with Lean
Logan Murphy, Torin Viger, Alessio Di Sandro, Ramy Shahin, Marsha Chećhik
2021· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Know When to Persist: Deriving Value from a Stream Buffer
Konstantinos Georgiou, George Karakostas, Evangelos Kranakis, Danny Kriz̧anc
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Point-Set Embedding of Trees with Edge Constraints
Emilio Di Giacomo, Walter Didimo, Giuseppe Liotta, Henk Meijer, Stephen Wismath
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A One-Handed Multi-touch Method for 3D Rotations
Douglas Scheurich, Wolfgang Stuerzlinger
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Meeting Scheduling Problem Respecting Time and Space
Florian Berger, Rolf Klein, Doron Nussbaum, Jörg-Rüdiger Sack, Jiehua Yi
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Applications of Evolutionary Computation
2025· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Potential Tissue Puncture Notification during Telesurgery
Rachael L’Orsa, Kourosh Zareinia, Liu Shi Gan, C.J.B. Macnab, Garnette Sutherland
2013· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Finitary Fairness in Action Systems
Emil Sekerinski, Tian Zhang
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Analyzing Brain Morphology on the Bag-of-Features Manifold
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells, Matthew Toews
2019· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
EUROPORT — ESPRIT European porting projects
Adrian Colbrook, Max Lemke, Hermann Mierendorff, Klaus Stüben, Clemens-August Thole, Owen Thomas
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Sensing World Heritage
Vasco Monteiro, Roberto Henriques, Marco Paìnho, Eric Vaz
2014· book-chapter· en· Lecture notes in computer science· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Data-to-Model Distillation: Data-Efficient Learning Framework
Ahmad Sajedi, Samir Khaki, Lucy Liu, Ehsan Amjadian, Yuri Lawryshyn, Konstantinos N. Plataniotis
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
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