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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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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 9 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Special issue on graphics recognition
Josep Lladós, Dorothea Blostein
2007· article· en· International Journal on Document Analysis and Recognition (IJDAR)· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
sslf: A simple spectral-line finder
C. Jordan, Bradley W. Meyers
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
6G ISAC Enables Environment Object Reconstruction
Guangjian Wang, Peiying Zhu
2025· article· en· IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Using Knowledge Graph Embedding for Fault Detection
Ziad Kobti, Joseph El-Ghaname
2023· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
New Attended Field of View (AFOV) test
Clara Patricia Hernandez-Luna, Raiju J. Babu, Graham Strong, Elizabeth L. Irving
2009· article· en· Investigative Ophthalmology & Visual Science· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction
Hossein Keshavarz, Meiyappan Nagappan
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · insufficient_payload
1
citations
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