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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.

This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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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.

4,299,418 results · 0 filters 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.
4,299,418 works in the cohort · of 4,299,418page 2,750 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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
A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
2022· article· en· Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Resilience in the modern career
Seán Lyons, Linda Schweitzer, Eddy S. Ng
2015· article· en· Career Development International· Psychology
machine prediction:candidate · noneconsensus · none
136
citations
afffundunlabeled
Manipulating a “Cocaine Engram” in Mice
Hwa‐Lin Hsiang, Jonathan R. Epp, Michel C. van den Oever, Yan Chen, Asim J. Rashid, Nathan Insel +5 more
2014· article· en· Journal of Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
136
citations
afffundunlabeled
DNAM-1 controls NK cell activation via an ITT-like motif
Zhanguang Zhang, Ning Wu, Yan Lü, Dominique Davidson, Marco Colonna, André Veillette
2015· article· en· The Journal of Experimental Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
136
citations
afffundaboutunlabeled
Northern Lake Impacts on Local Seasonal Climate
Z. Long, William Perrie, John R. Gyakum, D. Caya, René Laprise
2007· article· en· Journal of Hydrometeorology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
136
citations
venueno affunlabeled
Stressdilatancy in very loose sand
K. Been, M. G. Jefferies
2004· article· en· Canadian Geotechnical Journal· Engineering
machine prediction:candidate · noneconsensus · none
136
citations
aboutno affunlabeled
“Picture to Puncture”
Chung‐Huan Sun, Raul G. Nogueira, Brenda A Glenn, Kerrin M Connelly, Susan Zimmermann, Kim Anda +6 more
2013· article· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
136
citations
afffundunlabeled
Ageism in the time of COVID-19
Hannah J. Swift, Alison L. Chasteen
2021· article· en· Group Processes & Intergroup Relations· Psychology
machine prediction:candidate · noneconsensus · none
136
citations

How this was built: Screen · Findings · About