MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Stock Market Forecasting Methods
Retraction
Abstract
Evidence source
Study design
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
venuejournal
aboutaboutness

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

943 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
943 works in the cohort · of 4,299,418page 16 of 19

Labels cover 2 of 943 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 943 of 943 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Unemployment Rate Forecasting via Markov Chains
Meshal Harbi Odah
2021· article· en· International Journal of Sustainable Development and Planning· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Robust Stock Index Return Predictions Using Deep Learning *
Ravi Jagannathan, Yuan Liao, Andreas Neuhierl
2024· preprint· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+research_integrityconsensus · metaresearch
0
citations
affno abstractgemma · bibliometricsgpt · bibliometricsmodels split
TECHNOLOGY AND AUTOMATION IN FINANCIAL TRADING: A BIBLIOMETRIC REVIEW
Rosella Carè, Douglas J. Cumming
2024· review· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+bibliometrics+research_integrityconsensus · metaresearch+bibliometrics
0
citations
affno abstractunlabeled
Generative AI-enhanced Sector-based Investment Portfolio Construction
Alina Voronina, Oleksandr Romanko, Ruiwen Cao, Roy H. Kwon, Rafael Mendoza‐Arriaga
2025· preprint· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · metaresearch+metaepi_narrow+research_integrity
0
citations
affno abstractunlabeled
An Interactive AI Solution for Market Research and Report Generation
Naga Shishira Vasikarla, Afshar Alam, Mahreen Nasir, Ajmery Sultana, Rashid Hussain Khokhar, Wenjun Lin
2025· book-chapter· en· Studies in computational intelligence· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
<p><span>Bay Street Meets Machine Learning: Predicting Stock Risk Premium</span><span></span></p>
Najah Attig, Chahine Attig
2025· preprint· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · metaresearch+metaepi_narrow+open_science+research_integrity+insufficient_payload
0
citations
affno abstractunlabeled
Optimal AI Adoption in Investment Monitoring
Xuyuanda Qi, Yang Yi
2024· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · research_integrityconsensus · none
0
citations
affno abstractunlabeled
Predict Mini Flash Crashes from High-Frequency Data by Machine Learning
Bo Liu, Ke Xu, Xinwei Zheng
2024· preprint· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · metaresearch+open_science
0
citations
affno abstractunlabeled
Functional motif discovery in stock market prices
Marzia A. Cremona, Lyubov Doroshenko, Federico Severino
2023· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affno abstractunlabeled
Aligning Multilingual News for Stock Return Prediction
Yuntao Wu, Charles Martineau, Lynn Tao, Yoshio Nozawa, Ing-Haw Cheng, John C. Hull +1 more
2025· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About