MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Operations Research
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

330 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
330 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 330 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 330 of 330 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
Risk in Revenue Management and Dynamic Pricing
Yuri Levin, Jeff McGill, Mikhail Nediak
2007· article· en· Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
94
citations
fundno affunlabeled
Minimizing Cycle Time in a Blocking Flowshop
Isa Nakhai Kamal Abadi, Nicholas G. Hall, Chelliah Sriskandarajah
2000· article· en· Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Robust Dual Dynamic Programming
Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
2019· article· en· Operations Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
The Benders Dual Decomposition Method
Ragheb Rahmaniani, Shabbir Ahmed, Teodor Gabriel Crainic, Michel Gendreau, Walter Rei
2020· article· en· Operations Research· Mathematics
machine prediction:candidate · noneconsensus · none
77
citations
fundno affunlabeled
Exact First-Choice Product Line Optimization
Dimitris Bertsimas, Velibor V. Mišić
2019· article· en· Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
76
citations
afffundunlabeled
Joint Design and Pricing on a Network
Luce Brotcorne, Martine Labbé, Patrice Marcotte, Gilles Savard
2008· article· en· Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
Inverse Optimization: Theory and Applications
Timothy C. Y. Chan, Rafid Mahmood, Ian Yihang Zhu
2023· article· en· Operations Research· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
afffundunlabeled
Optimal Control of a Mean-Reverting Inventory
Abel Cadenillas, Peter Lakner, Michael Pinedo
2010· article· en· Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
67
citations
afffundunlabeled
An Oil Pipeline Design Problem
Jack Brimberg, Pierre Hansen, Keh-Wei Lin, Nenad Mladenović, Michèle Breton
2003· article· en· Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
64
citations

How this was built: Screen · Findings · About