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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 92 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
Online Interval Scheduling with Predictions
Joan Boyar, Lene M. Favrholdt, Shahin Kamali, Kim S. Larsen
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Exaggerated Claims for Interactive Stories
David Thue, Vadim Bulitko, Marcia L. Spetch, Michael A. Webb
2009· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
How Good is Weak-Stabilization?
Narges Fallahi, Borzoo Bonakdarpour
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Sound Automation of Magic Wands
Thibault Dardinier, G. Parthasarathy, Noé Weeks, Péter Müller, Alexander J. Summers
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Test Suite Reduction Based on Dependence Analysis
Guy-Vincent Jourdan, Panitee Ritthiruangdech, Hasan Ural
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Handling Infinitely Branching WSTS
Michael Blondin, Alain Finkel, Pierre McKenzie
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
A Study on How Users Choose Apps
Adel Alhejaili, James Blustein
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Information Systems Security
Vallipuram Muthukkumarasamy, S D Sudarsan, R. K. Shyamasundar
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Applications of Evolutionary Computation
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
On the maximum path length of AVL trees
Rolf Klein, Derick Wood
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Developments in Language Theory
Yuan Gao, Sheng Yu
2010· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
What Is a Game Mechanic?
Priscilla Lo, David Thue, Elín Carstensdóttir
2021· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Grounding Social Interaction with Affective Intelligence
Joshua D. A. Jung, Jesse Hoey, Jonathan H. Morgan, Tobias Schröder, Ingo Wolf
2016· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Goal-Directed Online Learning of Predictive Models
Sylvie C. W. Ong, Yuri Grinberg, Joëlle Pineau
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Cognitive Tutoring System with "Consciousness"
Daniel M. Dubois, Mohamed Gaha, Roger Nkambou, Pierre Poirier
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Efficient Embedding Network for 3D Brain Tumor Segmentation
Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, S. Tliba +2 more
2021· preprint· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Artificial Intelligence in Medicine
José M. Juárez, Mar Marcos, Gregor Štiglic, Allan Tucker
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Learning and Intelligent Optimization
Meinolf Sellmann, Kevin Tierney
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Machine Learning and Knowledge Discovery in Databases
Massih-Réza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affno abstractunlabeled
Research in Computational Molecular Biology
2024· book· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About