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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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Scheduling and Optimization Algorithms
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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.

1,020 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.
1,020 works in the cohort · of 4,299,418page 13 of 21

Labels cover 2 of 1,020 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 1,020 of 1,020 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.

afffundunlabeled
Shared processor scheduling
Dariusz Dereniowski, Wiesław Kubiak
2018· article· en· Journal of Scheduling· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Scheduling Customized Orders: A Case Study at BEST Transformers Company
Mustafa Ahmet Beyazıt Ocaktan, İbrahim Küçükkoç, Aslan Deniz Karaoğlan, Abdullah Cicibaş, Kadir Büyüközkan
2017· article· en· Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Knowledge Management in Self-Organizing Systems
Christian Fuchs
2004· article· en· Journal of Knowledge Management and Practice· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Modeling Poset Convex Subsets
Maurice Queyranne, Laurence A. Wolsey
2015· preprint· en· Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
PC-Gym: Benchmark environments for process control problems
Maximilian Bloor, José Torraca, Ilya Orson Sandoval, Akhil Ahmed, Martha White, Mehmet Mercangöz +3 more
2025· article· en· Computers & Chemical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
AGENT-BASED CONTROL FOR THERMOFORMING PROCESSES
Zahir Albadawi, Benoît Boulet, Robert DiRaddo, Patrick Girard, Vincent Thomson
2006· article· en· IFAC Proceedings Volumes· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Makespan Trade-offs for Visiting Triangle Edges
Konstantinos Georgiou, Somnath Kundu, Paweł Prałat
2025· article· en· Discrete Mathematics & Theoretical Computer Science· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Structural properties of optimal schedules with preemption
Ph. Baptiste, Jacques Carlier, Alexander Kononov, Maurice Queyranne, Sergey Sevastyanov, M.N. Sviridenko
2010· article· en· Journal of Applied and Industrial Mathematics· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Stochastic cycle time analysis in robotic cells
Kouroush Jenab, Kaveh Salehi Gilani, Sareh Shafiei Monfared
2010· article· en· International Journal of Industrial and Systems Engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
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