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
Insurance and Financial Risk Management
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.

1,318 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.
1,318 works in the cohort · of 4,299,418page 21 of 27

Labels cover 1 of 1,318 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 1,318 of 1,318 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
Solutions for Chapter 1
David Dickson, Mary R. Hardy, Howard R. Waters
2012· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ปจจยทมความสมพนธกบภาวะการรคดบกพรองเลกนอยในผสงอาย จงหวดเชยงราย;Factors Related to Mild Cognitive Impairments in Elderly People in Chiang Rai Province
ปิยะภร ไพรสนธิ์, พรสวรรค์ เชื้อเจ็ดตน
2017· article· th· วารสารสภาการพยาบาล(Thai Journal of Nursing Council)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Index
Keith P. Ambachtsheer
2016· paratext· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
The Market for Reinsurance
M. Martin Boyer, Théodora Dupont-Courtade
2013· preprint· en· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
STOCKS RECOVER LATE IN QUARTER
WILLIAM J. STORCK, ANN THAYER
2002· article· en· Chemical & Engineering News· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Efeito contágio no mercado financeiro brasileiro
Rodrigo Abbade da Silva, Daniel Arruda Coronel, Mygre Lopes da Silva
2016· article· pt· Revista Capital Científico - Eletrônica (RCCҽ) - ISSN 2177-4153· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Claire Hazel Epstein
Howard Parker
2009· article· fr· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Analyzing the Analysts
2012· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CAPM de consommation : évidence du marché canadien
Ousseynou Ndiaye
2009· article· fr· Archipelago (Université du Québec à Montréal)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Designing Insurance Against Extreme Weather Risk: The Case of HuRLOs
M. Martin Boyer, Michèle Breton, Pascal François
2020· book-chapter· en· Palgrave studies in sustainable business in association with Future Earth· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
En mémoire de Denis Moffet (1946-2014)
Claude Fluet, Jean-François Guimond
2014· article· fr· L Actualité économique· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Market Risk Models
Mary R. Hardy, David Saunders
2022· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The costs and benefits of reinsurance
John Cummins, Georges Dionne, Robert M. Gagné, Abdelhakim Nouira
2021· preprint· en· The Geneva Papers on Risk and Insurance Issues and Practice· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Handbook of Insurance
2025· book· es· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Economic Effects of Risk Classification Bans
Georges Dionne, Casey Rothschild
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Immigration and the demand for life
2011· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About