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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 60 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
Improving Phenotype Name Recognition
Maryam Khordad, Robert E. Mercer, Peter K. Rogan
2011· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Bordeaux: A Tool for Thinking Outside the Box
Vajih Montaghami, Derek Rayside
2017· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Artificial Immune Systems
Peter J. Bentley, Jon Timmis, Marcin L. Pilat, Christian Jacob
2005· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Computing Logarithms in GF (2n)
Ian F. Blake, R. C. Mullin, Scott A. Vanstone
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Few-Shot Domain Adaptation with Polymorphic Transformers
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng +4 more
2021· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Ultimate Generalizations of LexBFS and LEX M
Anne Berry, Richard Krueger, Geneviève Simonet
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Current Practices in the Use of UML
Brian Dobing, Jeffrey Parsons
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Revisiting Move Groups in Monte-Carlo Tree Search
Gabriel Van Eyck, Martin Müller
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Fast Fusion Moves for Multi-model Estimation
Andrew Delong, Olga Veksler, Yuri Boykov
2012· book-chapter· en· Lecture notes in computer science· Engineering
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
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
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
Maximum Constraint Satisfaction on Diamonds
Andrei Krokhin, Benoît Larose
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Step-Assembly with a Constant Number of Tile Types
Ján Maňuch, Ladislav Stacho, Christine Stoll
2009· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
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
Modeling Outlier Score Distributions
Mohamed Bouguessa
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Bio-inspired Navigation of Mobile Robots
Lei Wang, Simon X. Yang, Mohammad Biglarbegian
2012· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Multi-query Optimization in Federated RDF Systems
Peng Peng, Lei Zou, M. TAMER ÖZSU, Dongyan Zhao
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations

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