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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 117 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
Black-Box Non-interactive Zero Knowledge from Vector Trapdoor Hash
Pedro Branco, Arka Rai Choudhuri, Nico Döttling, Abhishek Jain, Giulio Malavolta, Akshayaram Srinivasan
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
A Pragmatic Approach to Stateful Partial Order Reduction
Berk Çirişci, Constantin Enea, Azadeh Farzan, Süha Orhun Mutluergil
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Comparison of Multimodal Notifications During Telesurgery
Rachael L’Orsa, Kourosh Zareinia, C.J.B. Macnab, Garnette R. Sutherland
2014· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
CCRL: Contrastive Cell Representation Learning
Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Web and Internet Economics
Adrian Vetta, Yang Cai
2016· book· en· Lecture notes in computer science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Data Integration and Knowledge Discovery in Life Sciences
Fazel Famili, Sieu Phan, François Fauteux, Ziying Liu, Youlian Pan
2010· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
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
4
citations
affno abstractunlabeled
Adaptation and Genomic Evolution in EcoSim
Marwa Khater, Robin Gras
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Spectral Sequencing Based on Graph Distance
Rong Liu, Hao Zhang, Oliver van Kaick
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
A Rule-Based Recommender System to Suggest Learning Tasks
Hazra Imran, Mohammad Belghis-Zadeh, Ting‐Wen Chang, Kinshuk Kinshuk, Sabine Graf
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Simplifying CDCL Clause Database Reduction
Sima Jamali, David G. M. Mitchell
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Fast Intersections for Subdivision Surfaces
Aaron Severn, Faramarz Samavati
2006· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About