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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 and Inventory 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
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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.

1,354 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.
1,354 works in the cohort · of 4,299,418page 21 of 28

Labels cover 1 of 1,354 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 1,354 of 1,354 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
Incentives for Quality Through Endogenous Routing
Lauren Xiaoyuan Lu, Jan A. Van Mieghem, R. Canan Savaskan
2008· article· en· Manufacturing & Service Operations Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Improved Approximations for a CVRP with Unsplittable Demands
Zachary Friggstad, Ramin Mousavi, Mirmahdi Rahgoshay, Mohammad R. Salavatipour
2025· article· en· Mathematics of Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Whether and how manufacturers encroach the market
Yue Qi, Taofeng Ye
2023· article· en· INFOR Information Systems and Operational Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Coordinating a Supply Chain with an EOQ Model
Jing Chen, Genevieve Mushaluk
2013· book-chapter· en· International series in management science/operations research/International series in operations research & management science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Temporary price increase during replenishment lead time
Nagihan Çömez-Dolgan, Lama Moussawi-Haidar, Burcu Esmer, Mohamad Y. Jaber
2019· article· en· Applied Mathematical Modelling· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Queuing and inventories in limit order markets
Corey Garriott, Vincent van Kervel, Marius Zoican
2025· article· en· Journal of Financial Markets· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Saving Seats for Strategic Customers
Eren B. Çil, Martin A. Lariviere
2013· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Inventory Management Under Demand Uncertainty
Işık Biçer
2023· book-chapter· en· Springer texts in business and economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About