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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.

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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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International Journal of Data and Network Science
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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.

857 results · 1 filter active ·
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20172025
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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.
857 works in the cohort · of 4,299,418page 3 of 18

Labels cover 1 of 857 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 857 of 857 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Cryptocurrencies: A bibliometric analysis
Ayman Abdalmajeed Alsmadi, Najed Alrawashdeh, Ala’a Fouad Al-Dweik, Mohammed Al-Assaf
2022· article· en· International Journal of Data and Network Science· Computer Science
distilled prediction:candidate · bibliometrics+open_scienceconsensus · bibliometrics
35
citations
venueno affunlabeled
Impact of digital transformation on sustainable performance
Farah faisal Alathamneh, Sulieman Ibraheem Shelash Al‐Hawary
2023· article· en· International Journal of Data and Network Science· Computer Science
distilled prediction:candidate · noneconsensus · none
34
citations
venueno affunlabeled
The adoption of TikTok application using TAM model
Mohammad Hamdi Al Khasawneh, Abdel‐Aziz Ahmad Sharabati, Shafig Al-Haddad, Reem Tbakhi, Hesham Abusaimeh
2022· article· en· International Journal of Data and Network Science· Social Sciences
distilled prediction:candidate · noneconsensus · none
32
citations
venueno affunlabeled
Islamic financial technology acceptance: An empirical study in Jordan
Ibrahim Radwan Alnsour, Mohammad Yousef Alghadi, Ahmad Y. A. Bani Ahmad, Mohammad Haider Alibraheem, Said Mohamad Altahat, Raed Walid Al-Smadi +1 more
2023· article· en· International Journal of Data and Network Science· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
28
citations
venueno affunlabeled
A comprehensive acceptance model for smart home services
Amer Al-Husamiyah, Mahmood Ghaleb Al-Bashayreh
2021· article· en· International Journal of Data and Network Science· Decision Sciences
distilled prediction:candidate · noneconsensus · none
28
citations
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