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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.

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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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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.

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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.

25 results · 1 filter active ·
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20202025
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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.
25 works in the cohort · of 4,299,418page 1 of 1

Labels cover 1 of 25 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 25 of 25 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.

afffundno abstractunlabeled
Review on Nature-Inspired Algorithms
Wael Korani, Malek Mouhoub
2021· article· en· Operations Research Forum· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affno abstractunlabeled
ChatGPT-Based Investment Portfolio Selection
Oleksandr Romanko, Akhilesh Narayan, Roy H. Kwon
2023· article· en· Operations Research Forum· Decision Sciences
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
The Setup Carryover Assignment Problem
Nusrat T. Chowdhury, Fazle Baki, Ahmed Azab
2023· article· en· Operations Research Forum· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
One-Shot Learning for MIPs with SOS1 Constraints
Charly Robinson La Rocca, Jean-François Cordeau, Emma Frejinger
2024· article· en· Operations Research Forum· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Using LINGO for Business Students
David M. Tulett, Ginger Y. Ke
2022· article· en· Operations Research Forum· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Time-Dependent Routing and Road Network Precision
Rabie Jaballah, Leandro C. Coelho, Jacques Renaud
2025· article· en· Operations Research Forum· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Inventory Routing Problem with Demand Moves
Annelieke C. Baller, Said Dabia, Guy Desaulniers, Wout Dullaert
2021· article· en· Operations Research Forum· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About