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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.

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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.

38 results · 1 filter active ·
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20022025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
38 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 38 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 38 of 38 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.

affunlabeled
The nested blocks and guidelines model
Miriah Meyer, Michael Sedlmair, P. Samuel Quinan, Tamara Munzner
2013· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
92
citations
affno abstractunlabeled
Filtering and brushing with motion
Lyn Bartram, Colin Ware
2002· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Filtering and Brushing with Motion
Lyn Bartram, Colin Ware
2002· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Eye tracking evaluation of visual analytics
Kuno Kurzhals, Brian Fisher, Michael Burch, Daniel Weiskopf
2015· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Science of Analytical Reasoning
William Ribarsky, Brian Fisher, William M. Pottenger
2009· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
A search-set model of path tracing in graphs
Jessica Q. Dawson, Tamara Munzner, Joanna McGrenere
2014· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
GeneVis: Simulation and Visualization of Genetic Networks
C. Baker, Sheelagh Carpendale, Przemysław Prusinkiewicz, Michael G. Surette
2003· article· en· Information Visualization· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Interactive data driven exploration of COVID-19
Margaret Varga, April Rose Panganiban, Adelica Ndoni, Valérie Lavigne, Susan Traeber-Burdin, Marcus Lem
2025· article· en· Information Visualization· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About