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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 55 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
Big Data Generation
Tilmann Rabl, Hans‐Arno Jacobsen
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Automatic Curation of Clinical Trials Data in LinkedCT
Oktie Hassanzadeh, Renée J. Miller
2015· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
13
citations
affno abstractunlabeled
Group Behavior Metrics for P2P Botnet Detection
J Villanueva Felix, Charles L. Joseph, Ali A. Ghorbani
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
The Safety Simple Subset
Shoham Ben-David, Dana Fisman, Sitvanit Ruah
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Extracting and Explaining Biological Knowledge in Microarray Data
Paul Kennedy, Simeon Simoff, David B. Skillicorn, Daniel Catchpoole
2004· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Models in Software Engineering
Juergen Dingel, Arnor Solberg
2011· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Biclique Edge Cover Graphs and Confluent Drawings
Michael Hirsch, Henk Meijer, David Rappaport
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Reconfiguration on Sparse Graphs
Daniel Lokshtanov, Amer E. Mouawad, Fahad Panolan, M. S. Ramanujan, Saket Saurabh
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
FSM Inference from Long Traces
Florent Avellaneda, Alexandre Petrenko
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
MathScheme: Project Description
Jacques Carette, William M. Farmer, Russell O’Connor
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
13
citations
affno abstractunlabeled
An Introduction to the FLOE Project
Jutta Treviranus, Jess Mitchell, Colin Clark, Vera Roberts
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Linearizability Is Not Always a Safety Property
Rachid Guerraoui, Eric Ruppert
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Weed Density Estimation Using Semantic Segmentation
Muhammad Asad, Abdul Bais
2020· book-chapter· en· Lecture notes in computer science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Personal Agents in the Rule Responder Architecture
Benjamin Larry Craig, Harold Boley
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Scaling Behavior of Human Mobility Distributions
Tuhin Paul, Kevin G. Stanley, Nathaniel Osgood, Scott Bell, Nazeem Muhajarine
2016· book-chapter· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Advances in Knowledge Discovery and Data Mining
Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
A Practical Approach to DOACROSS Parallelization
Priya Unnikrishnan, Jun Shirako, Kit Barton, Sanjay Chatterjee, Raúl Silvera, Vivek Sarkar
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations

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