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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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Supply Chain Resilience and Risk Management
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

869 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.
869 works in the cohort · of 4,299,418page 6 of 18

Labels cover 1 of 869 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 869 of 869 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
A Survey of Digital Supply Chain Twins’ Implementations
Kristine Joy Dy, Jessica Olivares-Aguila, Alejandro Vital-Soto
2022· book-chapter· en· IFIP advances in information and communication technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Supply chain risks in the dairy industry
Michael Wang, Samsul Islam, Wei Yang
2025· article· en· Benchmarking An International Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Strategic Partners and Strange Bedfellows
Paul D. Larson
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Modeling and Measuring Systemic Risk
Markus K. Brunnermeier, Lars Peter Hansen, Anil Kashyap, Arvind Krishnamurthy, Andrew W. Lo
2010· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Towards Forest Supply Chain Risks
Michael Wang, Robert Istvan Radics, Samsul Islam, Ki‐Soon Hwang
2023· article· en· Operations and Supply Chain Management An International Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The Economics of Food Supply Chain Resilience
Jill E. Hobbs, Jeffrey Hadachek
2024· article· en· Annual Review of Resource Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
One-stop service to enhance maritime resilience
Zhening Ye, Jie Wang, Guoqing Zhang, Huida Zhao
2024· article· en· Ocean & Coastal Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
An Exploration of Decision-Making under Threat
Benoit Bourguignon, Harold Boeck, Irvine Clarke
2020· article· en· Journal of Business-to-Business Marketing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About