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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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Experimental Learning in Engineering
Retraction
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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
fundfunder
venuejournal
aboutaboutness

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

892 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
892 works in the cohort · of 4,299,418page 17 of 18

Labels cover 1 of 892 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 892 of 892 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Computer science laboratory improvements
Terry Scott
2006· article· en· Journal of computing sciences in colleges· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Simulations in the Classroom
Eric Brunsell, Martin Horejsi
2012· article· en· The Science Teacher· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Practical Approach to Process Control Education
Brent R. Young, Donald P. Mahoney, William Y. Svrcek
2000· article· en· Chemeca 2000: Opportunities and Challenges for the Resource and Processing Industries· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
EDESIGN
M. Reza Emami, Michael G. Helander
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Focus on data acquisition
Lawrence G. Rubin
2006· article· en· Physics Today· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
afffundvenueaboutunlabeled
Physical and Virtual Environment for Automation Education of Engineers and Technicians, Part 3: Improvement of joint distant laboratory activities in process control and automation based on past experience
Jean-Sebastian Deschenes, Noureddine Barka, Pierre St-Onge, Mario Michaud, Denis Paradis, Jean Brousseau
2011· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Use of logbooks as a tool for life-long learning
Sylvie Doré
2013· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
EXPERIENCE TEACHING CIRCUIT COURSES TO CIVIL ENGINEERS
Michael Cooper-Stachowsky, Ayman El‐Hag
2021· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
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How this was built: Screen · Findings · About