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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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PolyPublie (École Polytechnique de Montréal)
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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.

2,428 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.
2,428 works in the cohort · of 4,299,418page 13 of 49

Labels cover 10 of 2,428 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 2,428 of 2,428 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
main.pdf
2014· dataset· fr· PolyPublie (École Polytechnique de Montréal)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
AI Ethics
Lionel Nganyewou Tidjon
2022· dataset· en· PolyPublie (École Polytechnique de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Tiny-ImageNet-R
Martin Weiß, Nasim Rahaman
2022· dataset· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
LANCELOT_SIMPLE: A Simple Interface for LANCELOT B
Nicholas I. M. Gould, Dominique Orban, Philippe L. Toint
2008· article· fr· PolyPublie (École Polytechnique de Montréal)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
SEAO datasets - raw and cleaned datasets
Igor Sadoune
2024· dataset· en· PolyPublie (École Polytechnique de Montréal)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Note on Decision Models for a Two-Echelon Supply Chain
Nadia Lehoux, André Langevin, Pavillon Adrien-Pouliot
2007· article· en· PolyPublie (École Polytechnique de Montréal)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On Edge Orienting Methods for Graph Coloring
Bernard Gendron, Alain Hertz, Patrick St‐Louis
2006· article· fr· PolyPublie (École Polytechnique de Montréal)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Largest Small Octagon
Charles Audet, Pierre Hansen, Frédéric Messine, Junjie Xiong
2001· article· fr· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Metric Cutpoint Partition Problem
Alain Hertz, Sacha Varone
2006· article· fr· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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