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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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Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
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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
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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.

424 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.
424 works in the cohort · of 4,299,418page 2 of 9

Labels cover 0 of 424 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 424 of 424 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.

aboutno affunlabeled
Corporate tax harmonization in the European Union
Zsófia Dankó
2012· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Who Gets Student Loans
Constantine Kapsalis
2006· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Lessons and consequences of the evolving 2007-? Credit Crunch
Bruce L. Corneil, Sue McNamara
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Generalized entropy models
Mogens Fosgerau, André de Palma
2015· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Learning in hidden Markov models with bounded memory
Daniel Monte, Maher Said
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Power Spot Price Models with negative Prices
Stefan Schneider
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Career Mobility Patterns of Public School Teachers
Celia Patricia Vera
2013· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Conditional Beliefs and Higher-Order Preferences
Byung Soo Lee
2013· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Inflation and the Underground Economy
Stephen Eli Ahiabu
2006· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Socially-Tolerable Discrimination
J. Atsu Amegashie
2008· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Option Pricing: Real and Risk-Neutral Distributions
George M. Constantinides, Jens Carsten Jackwerth, Stylianos Perrakis
2005· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Endogenous Competences and Linkages Development
Analía Erbes, Ezequiel Tacsir, Gabriel Yoguel
2008· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Nowcasting US GDP with artificial neural networks
Julius Loermann, Benedikt Maas
2019· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Return Migration: an Empirical Investigation
Roman Zakharenko
2008· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Why are U.S. firms listed in foreign markets worth more
Sergei Sarkissian, Michael J. Schill
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations

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