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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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Complex Systems and Time Series Analysis
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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.

1,201 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.
1,201 works in the cohort · of 4,299,418page 4 of 25

Labels cover 3 of 1,201 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 1,201 of 1,201 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.

afffundunlabeled
Can we predict the unpredictable?
Abbas Golestani, Robin Gras
2014· article· en· Scientific Reports· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
32
citations
afffundunlabeled
Quantifying Proportional Variability
Joel P. Heath, Peter Borowski
2013· article· en· PLoS ONE· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Revisiting stock market index correlations
Mehmet Dalkır
2008· article· en· Finance research letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
afffundunlabeled
Small world in a seismic network: the California case
Abigail Jiménez, K. F. Tiampo, A. Posadas
2008· article· en· Nonlinear processes in geophysics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
ECONOPHYSICS: A NEW CHALLENGE FOR FINANCIAL ECONOMICS?
Franck Jovanovic, Chrıstophe Schınckus
2013· article· en· Journal of the History of Economic Thought· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
afffundunlabeled
R-squared and the Economy
Randall Mørck, Bernard Yeung, Wayne Yu
2013· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
ALGORITHMIC TRADING OF CO-INTEGRATED ASSETS
Álvaro Cartea, Sebastian Jaimungal
2016· article· en· International Journal of Theoretical and Applied Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
On the scaling of the solar incident flux
Costas A. Varotsos, S. Lovejoy, N. V. Sarlis, Chris G. Tzanis, M. Efstathiou
2015· article· en· Atmospheric chemistry and physics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
“Price-Quakes” Shaking the World's Stock Exchanges
Jørgen Vitting Andersen, Andrzej Nowak, Giulia Rotundo, Lael Parrott, Sebastián Martínez
2011· article· en· PLoS ONE· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Multifractal characterization of protein contact networks
Enrico Maiorino, Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian, Antonello Rizzi
2015· article· en· Physica A Statistical Mechanics and its Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
<i>Q</i>learning in the minority game
M. Andrecut, Mazhar Ali
2001· article· en· Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
25
citations
venueno affunlabeled
Testing Stylized Facts of Bitcoin Limit Order Books
Matthias Schnaubelt, Jonas Rende, Christopher Krauß
2019· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
DETRENDED FLUCTUATION ANALYSIS OF THE US STOCK MARKET
Apostolos Serletis, Olga Y. Uritskaya, V. M. Uritsky
2008· article· en· International Journal of Bifurcation and Chaos· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
24
citations
venueno affunlabeled
Digital Currency Risk
Scott Gilbert, Hio Loi
2018· article· en· International Journal of Economics and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
24
citations

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