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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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Product Development and Customization
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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.

425 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.
425 works in the cohort · of 4,299,418page 2 of 9

Labels cover 1 of 425 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 425 of 425 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
Change prediction using interface data
Bahram Hamraz, Onur Hisarciklilar, Keyvan Rahmani, David C. Wynn, Vincent Thomson, P. John Clarkson
2013· article· en· Concurrent Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Does Product Platforming Pay Off?
Marc H. Meyer, Oleksiy Osiyevskyy, Dirk Libaers, Marcel van Hugten
2017· article· en· Journal of Product Innovation Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
A graph-based model for manufacturing complexity
Kouroush Jenab, Diane Suk Ching Liu
2009· article· en· International Journal of Production Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
Modeling of Manufacturing Process Complexity
Jill Urbanic, Waguih ElMaraghy
2006· book-chapter· en· Springer series in advanced manufacturing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Optimization in arrangements
Stefan Langerman, William W. Steiger
2003· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Managing subsystem interfaces of complex products
Keyvan Rahmani, Vincent Thomson
2011· article· en· International Journal of Product Lifecycle Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Decision-Making Assistance in Engineering-Change Management Process
Dounia Habhouba, Soumaya Cherkaoui, Alain Desrochers
2010· article· en· IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
A knowledge-based measure of product complexity
Xiaoqi Zhang, Vince Thomson
2017· article· en· Computers & Industrial Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About