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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.

1,448 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.
1,448 works in the cohort · of 4,299,418page 13 of 29

Labels cover 4 of 1,448 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 1,448 of 1,448 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
DARLS
Loutfouz Zaman, Ashish Kalra, Wolfgang Stuerzlinger
2011· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
affunlabeled
MustaCHE
Antonio Cavalcante Araujo Neto, Mário A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello
2018· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Beyond Keywords and Hierarchies
Ian Hopkins, Julita Vassileva
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Temporal Thumbnails
Michael Tsang, Nigel Morris, Ravin Balakrishnan
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Interactive Visualization of Energy System
Haleh Alemasoom, Faramarz Samavati, John Brosz, David B. Layzell
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Left or right?
Jing Feng, Ian Spence
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Scaling the Interactive Dot Map
Kyle E. Walker
2018· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
On Adding Affect to Time-Diary Accounts
William Michelson
2008· article· en· Social Indicators Research· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Information visualization and large‐scale repositories
Linn Marks Collins, Jeremy A. T. Hussell, Robert Kent Hettinga, James Powell, Ketan K. Mane, Mark L. B. Martinez
2007· article· en· Library Hi Tech· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Assessing the Readability of Stacked Graphs
Alice Thudt, Jagoda Walny, Charles Périn, Fateme Rajabiyazdi, Lindsay MacDonald, Riane Vardeleon +2 more
2016· article· en· Graphics Interface· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
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How this was built: Screen · Findings · About