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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 158 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
High-Utility Interval-Based Sequences
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Sensory Updates to Combat Path-Integration Drift
Xiang Ji, Shrinu Kushagra, Jeff Orchard
2013· book-chapter· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Mobile Travel Credentials
David Bissessar, Maryam Hezaveh, Fayzah Alshammari, Carlisle Adams
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
A Data Driven Approach for Smart Lighting
Hongyu Guo, Sylvain Létourneau, Chunsheng Yang
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
A Reverse Hex Solver
Kenny Young, Ryan Hayward
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Rapid Control Selection through Hill-Climbing Methods
Krispin A. Davies, Alejandro Ramirez‐Serrano, Graeme N. Wilson, Mahmoud Mustafa
2012· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Surprise-Based Qualitative Probabilistic Networks
Zina Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Probabilistic Nogood Store as a Heuristic
Andrei Missine, William S. Havens
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Minimally Invasive Excision of Deep Bone Tumors
R.E. Ellis, David L. Kerr, John F. Rudan, L. A. G. Davidson
2001· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Discovering Multipart Appearance Models from Captioned Images
Michael Jamieson, Yulia Eskin, Afsaneh Fazly, Suzanne Stevenson, Sven Dickinson
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Dynamic Graph Coloring
Luis Barba, Jean Cardinal, Matias Korman, Stefan Langerman, André van Renssen, Marcel Roeloffzen +1 more
2017· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

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