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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.

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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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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.

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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
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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 8 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
Can consumers bank on mergers
Robert R. Kerton
2003· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Information collection in bargaining
Ming Li
2007· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Monitoring of Credit Risk through the Cycle: Risk Indicators
Olga Yashkir, Yuriy Yashkir
2013· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Metal and Machine Industry in Serbia
Dragan Petrović, Rajko Bukvić
2018· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Unemployment Insurance with Hidden Savings
Matthew Mitchell, Yuzhe Zhang
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
The McGarvey problem in judgement aggregation
Marcus Pivato, Klaus Nehring
2010· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Economic Approach to Counteracting Cartels
Anna Fornalczyk
2009· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The GST Cut is not so Stupid
Patrick Grady
2008· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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