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
The Journal of Risk Finance
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.

32 results · 1 filter active ·
Results by year
20022025
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.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 32 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 32 of 32 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
Measuring infrastructure investment option value
Gabriel J. Power, Charli D. Tandja M., Josée Bastien, Philippe Grégoire
2015· article· en· The Journal of Risk Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Reputation entrenchment or risk minimization?
Xun Li, Zhenyu Wu
2008· article· en· The Journal of Risk Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Computing value-at-risk using genetic algorithm
Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman
2015· article· en· The Journal of Risk Finance· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Does R&D create or resolve uncertainty?
George Blazenko, Wing Him Yeung
2015· article· en· The Journal of Risk Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Airfare price insurance: a real option model
Adishwar K. Jain, Raymond A. K. Cox
2010· article· en· The Journal of Risk Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Hedging and debt overhang: a conceptual note
Jacques A. Schnabel
2015· article· en· The Journal of Risk Finance· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About