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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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Research Data Management Practices
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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
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venuejournal
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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.

2,427 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.
2,427 works in the cohort · of 4,299,418page 7 of 49

Labels cover 37 of 2,427 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 2,427 of 2,427 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.

affvenueunlabeled
Open Sesame: R for Data Science is Open Science
Christopher J. Lortie
2017· article· en· Ideas in Ecology and Evolution· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
4
citations
affunlabeled
Petabytes to Science
A. Bauer, Eric C. Bellm, A. Bolton, Surajit Chaudhuri, Andrew J. Connolly, Kelle Cruz +21 more
2019· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
3
citations
affunlabeled
A word about supplemental materials
Evelyn H. Merrill
2015· article· en· Journal of Wildlife Management· Computer Science
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
3
citations
affvenueaboutunlabeled
Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy
Kevin Read, Alanna Campbell, Vanessa Kitchin, H. Robson MacDonald, Sandra McKeown
2021· editorial· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
3
citations
affunlabeled
The Tao of Open Science for Ecology
Stephanie E. Hampton, Sean Anderson, Sarah C. Bagby, Corinna Gries, Xueying Han, Edmund Hart +9 more
2014· preprint· en· Computer Science
machine prediction:candidate · open_scienceconsensus · none
3
citations
aboutno affunlabeled
Research Data Services: Partnerships
Ibraheem Ali, Thea Atwood, Renata Gonçalves Curty, Jimmy Ghaphery, Tim McGeary, Jennifer Muilenburg +1 more
2022· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Collaborating with faculty on data awareness: A case study
Amanda Wheatley, Martin Chandler, Dawn McKinnon
2020· article· en· Journal of Business & Finance Librarianship· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
3
citations
affunlabeled
FAIR Digital Object Demonstrators 2021
Peter Wittenburg, Ivonne Anders, Christophe Blanchi, Merret Buurman, Carole Goble, Jonas Grieb +19 more
2022· report· en· ORCA Online Research @Cardiff (Cardiff University)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
3
citations
affunlabeled
SOOS Science and Implementation Plan 2021-2025
2022· article· en· CINECA IRIS Institutial Research Information System (University of Genoa)· Computer Science
machine prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Data Discovery and Reuse in Data Service Practices: A Global Perspective
Ying‐Hsang Liu, Hsin‐Liang Chen, Makoto P. Kato, Mingfang Wu, Kathleen Gregory
2021· article· en· Proceedings of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
3
citations
affunlabeled
Creative AI Futures: Theory and practice
Mercedes Bunz, Eva Jäger, Alasdair Milne, Joanna Żylińska
2022· article· en· Electronic workshops in computing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Vancouver Statement on Collections as Data
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
3
citations
aboutno affunlabeled
Vancouver Statement on Collections as Data (ES)
2023· article· es· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · open_scienceconsensus · none
3
citations
affunlabeled
Career Phases in Research Computing and Data
Timothy Middelkoop, Claire Mizumoto, Scotty Strachan, D. Balamurugan, Scott L. Delinger, Jacob Fosso Tande +4 more
2023· article· en· Practice and Experience in Advanced Research Computing· Computer Science
machine prediction:candidate · metaresearchconsensus · none
3
citations

How this was built: Screen · Findings · About