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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 218 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
Query Optimization via Empty Joins
Jarek Gryz, Dongming Liang
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Rough Sets
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
DSCAN for Geo-social Team Formation
Maryam MahdavyRad, Kalyani Selvarajah, Ziad Kobti
2022· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
State Complexity of Pseudocatenation
Lila Kari, Timothy Ng
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Experience 2.0: Mixed Realities and Beyond
I. Scott MacKenzie
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Parallelogram Morphisms and Circular Codes
Alexandre Blondin Massé, Mélodie Lapointe, Hugo Tremblay
2016· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Resilience Analysis of Naval Vessels with i2SIM
Kirollos M. Morcos, Andrea T.J. Martí, José R. Martí
2025· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Graph Querying or Similarity Search? Both!
Vicente Calisto, Sebastián Ferrada, Gonzalo Navarro, Juan L. Reutter, Javier Sánchez, Domagoj Vrgoč
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Acyclic Coloring with Few Division Vertices
Debajyoti Mondal, Rahnuma Islam Nishat, Md. Saidur Rahman, Sue Whitesides
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About