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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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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 11 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. 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.

venueno affunlabeled
The new system for promoting news through social media
Anna Puji Lestari, Sunarto Sunarto, Yuliyanto Budi Setiawan, Darmawan Napitupulu, Robbi Rahim
2018· article· en· International Journal of Data and Network Science· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affgemma · bibliometricsgpt · bibliometricsmodels split
Bibliometric analysis of Indonesia's labor dynamics: Future works, digital transformations, and contemporary employment landscape shifts
Ahmad Sulintang, Tarimantan Sanberto Saragih, An Nisa Pramasanti, Fergie Stevi Mahaganti, Kania Fitriani, Eldest Augustin +2 more
2024· article· en· International Journal of Data and Network Science· Economics, Econometrics and Finance
machine prediction:candidate · bibliometricsconsensus · none
4
citations
venueno affunlabeled
Understanding and predicting bugs fixed by API-migrations
Nouh Alhindawi, Omar Meqdadi, Jamal Alsakran, Nader Mohammad Aljawarneh, Hatim S. Migdadi
2022· article· en· International Journal of Data and Network Science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Factors affecting attitude to use metaverse technology application
Muhammad Turki Alshurideh, Barween Al Kurdi, Issam Okleh, Khireddine Chatra, Thouraya Snoussi, Haitham M. Alzoubi +2 more
2024· article· en· International Journal of Data and Network Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Measuring user acceptance of satellite broadband in the UAE
Khalid Al Awadhi, Bader Yousef Obeidat, Muhammad Turki Alshurideh
2022· article· en· International Journal of Data and Network Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
A trust management model in internet of vehicles
Fayez Alazemi, Ahmed Al-Mulla, Mousa Al-Akhras, Mohammed Alawairdhi, Marwah Al-Masri, Hani Omar +1 more
2023· article· en· International Journal of Data and Network Science· Engineering
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About