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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 181 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
Compressing Branch-and-Bound Trees
Gonzalo Muñoz, Joseph Paat, Álinson Santos Xavier
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Space-Efficient Conversions from SLPs
Travis Gagie, Adrián Goga, Artur Jeż, Gonzalo Navarro
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Deep Forecasting of COVID-19: Canadian Case Study
Fadoua Khennou, Moulay A. Akhloufi
2021· book-chapter· en· Lecture notes in computer science· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Deep Learning Based Camera Switching for Sports Broadcasting
Hamid Reza Tohidypour, Yixiao Wang, Mahsa T. Pourazad, Panos Nasiopoulos, Gurpreet Heir, Derinsola Ibikunle +3 more
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On Computing a Center Persistence Diagram
Yuya Higashikawa, Naoki Katoh, Guohui Lin, Eiji Miyano, Suguru Tamaki, Junichi Teruyama +1 more
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Design and Control of the Biped Robot HTY
Yun Liu, Jiawei Weng, Fan Wang, Jingge Tang, Yunchang Yao, Xingyu Chen +7 more
2023· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Financial Application on an Openstack Based Private Cloud
Deepak Bajpai, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
RelationalUNet for Image Segmentation
Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Pathfinding by Demand Sensitive Map Abstraction
Sourodeep Bhattacharjee, Scott D. Goodwin
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Bridge Inspection Task Analysis
Jean‐François Lapointe, Irina Kondratova
2023· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Porting CFD Codes Towards Grids: A Case Study
Dana Petcu, Daniel Vizman, Marcin Paprzycki
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
AVCA: Autonomous Virtual Cognitive Assessment
Bahar Karimi, Soheil Zabihi, Amir Keynia, Aram Montazami, Arash Mohammadi
2023· book-chapter· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About