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
Topic
Risk and Portfolio Optimization
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.

710 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.
710 works in the cohort · of 4,299,418page 7 of 15

Labels cover 2 of 710 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 710 of 710 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Risk Budgeting Allocation for Dynamic Risk Measures
Sebastian Jaimungal, Silvana M. Pesenti, Yuri F. Saporito, Rodrigo S. Targino
2023· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Risk Management for Grain Processors and “Copulas”
Songjiao Chen, William W. Wilson, Ryan Larsen, Bruce L. Dahl
2015· article· en· Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie· Decision Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Analysis and Forecasting of Risk in Count Processes
Annika Homburg, Christian Weiß, Gabriel Frahm, Layth C. Alwan, Rainer Göb
2021· article· en· Journal of risk and financial management· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Diversification quotients based on VaR and ES
Xia Han, Liyuan Lin, Ruodu Wang
2023· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Risk Bounds for Factor Models
Carole Bernard, Steven Vanduffel, Ruodu Wang
2015· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Quantile of a Mixture
Carole Bernardand, Steven Vanduffel
2014· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Risk Budgeting Allocation for Dynamic Risk Measures
Silvana M. Pesenti, Sebastian Jaimungal, Yuri F. Saporito, Rodrigo S. Targino
2024· article· en· Operations Research· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+insufficient_payloadconsensus · none
4
citations
affunlabeled
Minkowski deviation measures
Marlon Ruoso Moresco, Marcelo Brutti Righi, Eduardo Horta
2022· article· en· Statistics & Risk Modeling· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
On Robust Utility Maximization
Traian A. Pirvu, Ulrich G. Haussmann
2007· preprint· en· ArXiv.org· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
4
citations
affunlabeled
Estimating the VaR-induced Euler allocation rule
Nadezhda Gribkova, Jianxi Su, Ričardas Zitikis
2023· article· en· Astin Bulletin· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
4
citations
afffundunlabeled
Improving Skewness of Mean-Variance Portfolios
Luis F. Zuluaga, Samuel H. Cox
2010· article· en· North American Actuarial Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
fundno affno abstractunlabeled
Bowley-optimal convex-loaded premium principles
Mario Ghossoub, Bin Li, Benxuan Shi
2025· article· en· Insurance Mathematics and Economics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
DISAPPOINTMENT AVERSION PREMIUM PRINCIPLE
Ka Chun Cheung, Wing Fung Chong, Robert J. Elliott, Sheung Chi Phillip Yam
2015· article· en· Astin Bulletin· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations

How this was built: Screen · Findings · About