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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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Scheduling and Timetabling Solutions
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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
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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.

303 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
303 works in the cohort · of 4,299,418page 3 of 7

Labels cover 1 of 303 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 303 of 303 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
Course timetabling at a Tunisian University: A case study
Abdelaziz Dammak, Abdelkarim Elloumi, Hichem Kamoun, Jacques A. Ferland
2008· article· en· Journal of Systems Science and Systems Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Staff Scheduling in Health Care Systems
Mudra S Gondane
2012· article· en· IOSR Journal of Mechanical and Civil Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Realignment in the NHL, MLB, NFL, and NBA
Brian Macdonald, William R. Pulleyblank
2014· article· en· Journal of Quantitative Analysis in Sports· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations
fundno affno abstractunlabeled
Towards a practical engineering tool for rostering
Edward Tsang, John Ford, Patrick Mills, Richard Bradwell, Richard Williams, Paul J. Scott
2007· article· en· Annals of Operations Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Election Day Routing of Rapid Response Attorneys
Justin C. Goodson
2014· article· en· INFOR Information Systems and Operational Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
A hybrid heuristic for the multi-activity tour scheduling problem
Stefania Pan, Mahuna Akplogan, Nora Touati, Lucas Létocart, Roberto Wolfler Calvo, Louis-Martin Rousseau
2018· article· en· Electronic Notes in Discrete Mathematics· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Solving the Examination Timetabling Problem in GPUs
Vasileios Kolonias, George Goulas, Christos Gogos, Panayiotis Alefragis, Efthymios Housos
2014· article· en· Algorithms· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Call centers
Thomas A. Grossman, Sherry L. Oh, Thomas R. Rohleder, Douglas A. Samuelson
2001· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Rostering for a Restaurant
Ármann Ingólfsson, Kwun Tong Jonathan Cheng
2002· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Iterated local search in nurse rostering problem
Sen Ngoc Vu, Minh Hong Nguyen, Lê Minh Đức, Chantal Baril, Viviane Gascon, Tien Ba Dinh
2013· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About