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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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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 8 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
Heuristics for an Oil Delivery Vehicle routing Problem
Eric Prescott‐Gagnon, Guy Desaulniers, Louis-Martin Rousseau
2010· article· en· PolyPublie (École Polytechnique de Montréal)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Deep Learning for Data-Driven Districting-and-Routing
ARTHUR MONTEIRO FERRAZ, Quentin Cappart, Thibaut Vidal
2024· preprint· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
La gestion des rejets miniers au Québec
2011· other· fr· PolyPublie (École Polytechnique de Montréal)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Tabu Search Algorithm for Access Network Design
A. Girard, Brunilde Sansò, Linda Dadjo
2000· article· en· PolyPublie (École Polytechnique de Montréal)· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Siamese CNNs for RGB-LWIR Disparity Estimation.
David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau
2019· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Modeling and solving bundle adjustment problems
Célestine Angla, Jean Bigeon, Dominique Orban
2020· preprint· en· PolyPublie (École Polytechnique de Montréal)· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Optimization Scenarios of Home-Work Distances in Montreal
Oussama Saoudi Hassani, Nicolas Saunier, Catherine Morency
2016· article· en· PolyPublie (École Polytechnique de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About