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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
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.

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 13 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.

affunlabeled
Disruption in Supply Chain
Mohammad Bakhshayeshi Baygi, Seyyed Mostafa Mousavi, Onur Kuzgunkaya
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Risk Management in Supplier Selection
Zhong Hua Zhang, Sharifnia Ehsan
2019· book-chapter· en· Advances in logistics, operations, and management science book series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusions and a Way Forward
Hassan Qudrat‐Ullah
2023· book-chapter· en· Understanding complex systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Supply chain risk management and agility
2025· book-chapter· en· Elsevier eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial: Food safety engineering
Yihan He, Anet ­Režek ­Jambrak, Yixiang Wang, Xiaonan Lu
2024· editorial· en· Journal of Agriculture and Food Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Business Roundup
2023· article· en· C&EN Global Enterprise· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Sechelt: a language of Canada
2018· article· en· Americanae (AECID Library)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Managing the Supply Risk
Işık Biçer
2023· book-chapter· en· Springer texts in business and economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

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