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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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 461 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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
Is Redoing First Year of High-School Usefull?
Arnaud Cabanac, Richard Têtu, Proteau Geneviève, Jacques Patricia, Michel Cabanac
2023· preprint· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Deepening China Brazil Economic Relationship
John Whalley, Dana Medianu
2010· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
PODCAST: What Was Freedom House?
Ayobami Laniyonu
2024· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dns User Profiling and Risk Assessment: A Learning Approach
Yaser Baseri, Mahdi Daghmehchi Firoozjaei, Somayeh Sadeghi, Ali Ghorbani, William Belanger, Roozbeh Razavi‐Far
2024· preprint· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Learning to Segment CAD Models with Hybrid Representation
Claude Uwimana, Shengdi Zhou, Zhuqing LI, Norbelt Mutagisha, Edouard Niyongabo, Bin Zhou
2024· preprint· en· SSRN Electronic Journal· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About