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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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Market Dynamics and Volatility
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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.

affaffiliation
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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.

2,530 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.
2,530 works in the cohort · of 4,299,418page 15 of 51

Labels cover 4 of 2,530 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 2,530 of 2,530 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A Bayesian approach for the determinants of bitcoin returns
Theodore Panagiotidis, Georgios Papapanagiotou, Thanasis Stengos
2023· article· en· International Review of Financial Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Stock market volatility and oil shocks: A study of G7 economies
Javier Patricio Cadena Silva, José Ángel Sanz Lara, José Miguel Rodríguez Fernández
2025· article· en· International Review of Financial Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
10
citations
affunlabeled
Oil price analysts' forecasts
Isabel Figuerola–Ferretti, Alejandro Rodríguez, Eduardo S. Schwartz
2021· article· en· Journal of Futures Markets· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
10
citations
affunlabeled
DISCERNING TRENDS IN COMMODITY PRICES
Dimitri Dimitropoulos, Adonis Yatchew
2017· article· en· Macroeconomic Dynamics· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
10
citations
affaboutunlabeled
Forecasting in inefficient commodity markets
Periklis Gogas, Apostolos Serletis
2009· article· en· Journal of Economic Studies· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
The Indirect Effects of Oil Price on Consumption Through Assets
Seyedeh Fatemeh Razmi, Leila Torki, Seyed Mohammad Javad Razmi, Ehsan Mohaghegh Dowlatabadi
2022· article· en· International Journal of Energy Economics and Policy· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Monetary News Shocks
Nadav Ben Zeev, Christopher P. Gunn, Hashmat Khan
2019· article· en· Journal of money credit and banking· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Determinants of commodity market liquidity
Pankaj K. Jain, Ayla Kayhan, Esen Onur
2023· article· en· Financial Review· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
9
citations
venueno affunlabeled
International risk sharing and commodity prices
Martin Berka, Mario J. Crucini, Chih‐Wei Wang
2012· article· en· Canadian Journal of Economics/Revue canadienne d économique· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations

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