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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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Blockchain Technology Applications and Security
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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
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.

2,298 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.
2,298 works in the cohort · of 4,299,418page 28 of 46

Labels cover 6 of 2,298 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 2,298 of 2,298 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.

affunlabeled
Web 3.0 Revolution in the Finance Industry
Pooja Lekhi
2023· book-chapter· en· Advances in web technologies and engineering book series· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The impact of blockchain technology on the environment
Jelena Bačević, Petar Kočović, Predrag Ivković, Srecko Stankovic
2024· article· en· Facta universitatis - series Electronics and Energetics· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Explaining bitcoin ownership in Canada: Trends from 2016 to 2021
Daniela Balutel, Walter Engert, Christopher S. Henry, Kim P. Huynh, Marcel Voia
2024· article· en· Canadian Journal of Economics/Revue canadienne d économique· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The Impact of Cryptocurrency on Cybersecurity
Terrence August, Duy Dao, Marius Florin Niculescu
2025· article· en· Management Science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Blockchain Security
Gurdip Kaur, Arash Habibi Lashkari, Iman Sharafaldin, Ziba Habibi Lashkari
2023· book-chapter· en· Financial innovation and technology· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Strain: A Secure Auction for Blockchains.
Erik-Oliver Blaß, Florian Kerschbaum
2017· preprint· en· IACR Cryptology ePrint Archive· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Are Cryptocurrencies Exposed to Factor Risk?
Adelphe Ekponon, Zihan Guo
2023· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About