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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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Vehicle Routing Optimization Methods
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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
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venuejournal
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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.

1,187 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.
1,187 works in the cohort · of 4,299,418page 18 of 24

Labels cover 1 of 1,187 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 1,187 of 1,187 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
Continuous Optimization by Variable Neighborhood Search
Jack Brimberg, Pierre Hansen, Nenad Mladenović
2011· other· en· Wiley Encyclopedia of Operations Research and Management Science· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Routing Courier Delivery Services with Urgent Demand
Wang Chen, Maged Dessouky, Fernando Ordóñez
2015· article· en· INFOR Information Systems and Operational Research· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Depth-Optimized Convexity Cuts
Jonathan Eckstein, Mikhail Nediak
2005· article· en· Annals of Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Fast Electric Vehicle Planner Using Clustering
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
2021· book-chapter· en· Studies in classification, data analysis, and knowledge organization· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Transportation and Routing
Jean François Audy, Alexandra Marques, Mikael Rönnqvist, Rafael Epstein, Andrés Weintraub
2014· book-chapter· en· Managing forest ecosystems· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The Rank-One Quadratic Assignment Problem
Yang Wang, Wei Yang, Abraham P. Punnen, Jingbo Tian, Aihua Yin, Zhipeng Lü
2020· article· en· INFORMS journal on computing· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The consistent production routing problem
Aldair Alvarez, Jean‐François Cordeau, Raf Jans
2022· article· en· Networks· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The time-definite hub line location problem
Esteban Ogazón, Ana María Anaya-Arenas, Ángel Ruiz
2025· article· en· Socio-Economic Planning Sciences· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
A GRASP algorithm for the bus crew scheduling problem
David Pardo-Peña, David Álvarez‐Martínez, John Willmer Escobar
2024· article· en· International Journal of Industrial Engineering Computations· Engineering
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About