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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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Journal of 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.

affaffiliation
fundfunder
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

93 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.
93 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 93 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 93 of 93 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Regulated fractionally integrated processes
Mirza Trokić
2013· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
Fourier Analysis of Serial Dependence Measures
Ria Van Hecke, Stanislav Volgushev, Holger Dette
2017· article· en· Journal of Time Series Analysis· Engineering
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Modal volatility function
Aman Ullah, Tao Wang
2024· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Inference about long run canonical correlations
Prosper Dovonon, Alastair R. Hall, Kalidas Jana
2012· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Editorial, January 2018
Robert Taylor
2017· article· en· Journal of Time Series Analysis· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Editorial Announcement
Robert Taylor
2025· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Editorial Announcement
Robert Taylor
2023· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Mode Meets Mean: A New Robust Volatility
Tao Wang
2025· article· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Testing the CVAR in the Fractional CVAR Model
Soeren Johansen, Morten Ørregaard Nielsen
2017· preprint· en· Journal of Time Series Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A FAST FRACTIONAL DIFFERENCE ALGORITHM
Andreas Noack, Morten Ørregaard Nielsen
2014· article· en· Journal of Time Series Analysis· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About