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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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Industrial Vision Systems and Defect Detection
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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.

743 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.
743 works in the cohort · of 4,299,418page 4 of 15

Labels cover 0 of 743 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 743 of 743 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.

affno abstractunlabeled
Automatic visual inspection of thermoelectric metal pipes
Daniel Vriesman, Alceu S. Britto, Alessandro Zimmer, Alessandro L. Koerich, Rodrigo Paludo
2019· article· en· Signal Image and Video Processing· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Image Analysis and Recognition
Mohamed S. Kamel
2004· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Seeing Beyond the Visible
Jens Hashagen
2015· article· en· Optik & Photonik· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
One-Class Model for Fabric Defect Detection
Hao Zhou, Yixin Chen, David Troendle, Byunghyun Jang
2021· article· en· Natural Language Processing· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
3M™ Petrifilm™ Environmental Listeria Plate
DeAnn Benesh, Erin Crowley, Patrick Bird
2013· article· en· Journal of AOAC International· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Automatic Point Cloud Clustering for Surface Defect Diagnosis
Xingjian Liu, Harikrishnan Madhusudanan, Yue Wang, Junhui Zhu, Yong Wang, Changhai Ru +2 more
2025· article· en· IEEE Transactions on Automation Science and Engineering· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Edge Detection
D. Sundararajan
2017· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About