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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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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.

464 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.
464 works in the cohort · of 4,299,418page 3 of 10

Labels cover 0 of 464 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 464 of 464 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
Automated Floor Drilling Equipment for the 767
Jason Rediger, Joseph R. Malcomb, Craig Sylvester
2014· article· en· SAE International Journal of Aerospace· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Smart Energy Hub Frequency Control-Based Machine Learning
Burak Yıldırım, Meysam Gheisarnejad, Mohammad Hassan Khooban
2025· article· en· IEEE Transactions on Emerging Topics in Computational Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
D6.3 Intermediate system evaluation results
Petar Popovski, G. Mange, P. Fertl, Damián Serrano, H. Droste, N. Bayer +24 more
2014· article· en· RiuNet (Politechnical University of Valencia)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
[no title]
Charles Dalton, Chew Yong Tian, Michael P. Paı̈doussis
2003· article· en· Journal of Fluids and Structures· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
High-D/t Pipe for Offshore Applications
Ruud Selker, Ping Liu, A.C. Walker
2020· article· en· The 30th International Ocean and Polar Engineering Conference· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
10.51847/r59Bg1IN3d
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affunlabeled
10.51847/7ey5fQ0XS7
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Vector Load Simplified Duty Cycle for Lower Control Arm
Adrian Trifan, Neil B. Bishop, Stuart Kerr, Vidya Avadutala, Paresh Murthy
2020· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Tool Wear Monitoring Based On Vibration Signal Analysis Using FFT and EMD
Saurabh Tiwari, Santhosh Kumar Kamarapu, M. Amarnath, Munish Kumar Gupta, Govind Vashishtha
2024· article· en· Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
STRUCTURAL ANALYSIS OF 420 kV POLYMER-HOUSED SURGE ARRESTER
Konthedath M.M. Muneer, Neelam Tiwari, Supak Pore, Manish C. Gupta, Mandava Mohana Rao
2022· article· en· International Journal of Power and Energy Systems· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
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