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
SSRN Electronic Journal
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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 25 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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 Econometrics of Option Pricing
René García, Éric Ghysels, Éric Renault
2003· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
An Empirical Analysis of Commodity Convenience Yields
Cantekin Dinçerler, Zeigham I. Khoker, Timothy T. Simin
2005· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
International Trade Price Indices
Guillaume Gaulier, Julien Martin, Isabelle Méjean, Soledad Zignago
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Madoff: A Riot of Red Flags
Greg N. Gregoriou, Francois Lhabitant
2009· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Single Dose Administration, And The Influence Of The Timing Of The Booster Dose On Immunogenicity and Efficacy Of ChAdOx1 nCoV-19 (AZD1222) Vaccine
Merryn Voysey, Sue Ann Costa Clemens, Shabir A. Madhi, Lily Yin Weckx, Pedro M. Folegatti, Parvinder K. Aley +71 more
2021· article· en· SSRN Electronic Journal· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Which Volatility Model for Option Valuation?
Peter Christoffersen, Kris Jacobs
2002· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
What is Pro-Poor?
Jean‐Yves Duclos, Quentin Wodon
2004· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Marketplace or Reseller?
Andrei Hagiu, Julian Wright
2014· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
30
citations

How this was built: Screen · Findings · About