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

2,100 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.
2,100 works in the cohort · of 4,299,418page 20 of 42

Labels cover 193 of 2,100 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 2,100 of 2,100 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.

aboutno affunlabeled
Ontario Centres of Excellence
Jordi Lluís Coiduras Rodríguez
2008· article· ca· Paradigmes: economia productiva i coneixement· Decision Sciences
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
4
citations
affunlabeled
Gray areas of academic publishing
Ismaeil Fazel, Joel Heng Hartse
2020· article· en· Journal of English for Research Publication Purposes· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+scholarly_communication+insufficient_payloadconsensus · none
4
citations
affunlabeled
Report from the "What Is Open?" Workgroup
Rick Anderson, Seth Denbo, Diane J Graves, Susan Haigh, Steven P. Hill, Martin R. Kalfatovic +5 more
2016· article· en· Digital Commons - Trinity University (Trinity University)· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
4
citations
affunlabeled
Age and the Trying Out of New Ideas
Mikko Packalén, Jay Bhattacharya
2015· article· en· Journal of Human Capital· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
4
citations
afffundunlabeled
Threats to grant peer review: a qualitative study
Joanie Sims‐Gould, Anne M. Lasinsky, Adrián Soto-Mota, Karim M. Khan, Clare L. Ardern
2025· article· en· BMJ Open· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affvenueaboutunlabeled
Predatory Journals and Junk Meetings
Togas Tulandi, Jacques Balayla
2019· editorial· en· Journal of Obstetrics and Gynaecology Canada· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
4
citations
afffundvenueaboutunlabeled
Canadian Academics’ use of predatory journals
Maureen Babb
2021· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
4
citations
affunlabeled
Improving Asia-Pacific Science Collaboration
Stephen J. Toope, Chorh Chuan Tan, Nina V. Fedoroff
2012· article· en· Science· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
4
citations
affgemma · metaresearch+research_integrity+bibliometricsgpt · metaresearch+bibliometrics+research_integritymodels agree
Global Landscape of the Attack of Predatory Journals in Oncology
Khalid El Bairi, Dario Trapani, Sara Jamil Nidhamalddin, Shah Zeb Khan, Arman Reza Chowdhury, Csongor György Lengyel +17 more
2024· article· en· JCO Global Oncology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
4
citations
affno abstractunlabeled
Do the Criteria of Our Best-Paper Awards Need Revision?
Shahul Ameen, Vikas Menon, Samir Kumar Praharaj
2020· editorial· en· Indian Journal of Psychological Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
aboutno affunlabeled
Predators and impersonators: A new breed of journals
Gregory S. Lewis, Meghan Wulster-Radcliffe
2013· article· en· Animal Frontiers· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
4
citations
afffundunlabeled
Exploring the merits of research performance measures that comply with the San Francisco Declaration on Research Assessment and strategies to overcome barriers of adoption: qualitative interviews with administrators and researchers
Himani Boury, Mathieu Albert, Robert HC Chen, James C. L. Chow, Ralph S. DaCosta, Michael M. Hoffman +5 more
2023· article· en· Health Research Policy and Systems· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · metaresearch
4
citations

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