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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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Mathematical Methods of Operations Research
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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.

30 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
30 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 30 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 30 of 30 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.

affno abstractunlabeled
The efficient frontier for bounded assets
Michael J. Best, Jaroslava Hlouskova
2000· article· en· Mathematical Methods of Operations Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
105
citations
affno abstractunlabeled
An Attractor-Repeller approach to floorplanning
Miguel F. Anjos, Anthony Vannelli
2002· article· en· Mathematical Methods of Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
32
citations
afffundno abstractunlabeled
An M/PH/K queue with constant impatient time
Qi‐Ming He, Hao Zhang, Qingqing Ye
2017· article· en· Mathematical Methods of Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Fitting concentric circles to measurements
Zvi Drezner, Jack Brimberg
2013· article· en· Mathematical Methods of Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Downside loss aversion: Winner or loser?
Ines Fortin, Jaroslava Hlouskova
2015· article· en· Mathematical Methods of Operations Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
On generalized balanced optimization problems
Lara Turner, Abraham P. Punnen, Y.P. Aneja, Horst W. Hamacher
2010· article· en· Mathematical Methods of Operations Research· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Black swans and white eagles: on mathematics and finance
Sergio M. Focardi, Frank J. Fabozzi
2008· article· en· Mathematical Methods of Operations Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Extensions of the sequential stochastic assignment problem
Arash Khatibi, Golshid Baharian, Banafsheh Behzad, Sheldon H. Jacobson
2015· article· en· Mathematical Methods of Operations Research· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The bounce algorithm for mathematical programming
H. A. Eiselt, C.-L. Sandblom
2000· article· en· Mathematical Methods of Operations Research· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About