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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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Advanced machining processes and optimization
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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.

1,190 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.
1,190 works in the cohort · of 4,299,418page 5 of 24

Labels cover 0 of 1,190 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 1,190 of 1,190 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
Machine Tool Vibrations
Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio
2019· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Prediction of tool wear based on GA-BP neural network
Weihua Wei, Rui Cong, Yuantong Li, Ayodele Daniel Abraham, Changyong Yang, Zengtao Chen
2022· article· en· Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
CUTTING-INDUCED VIBRATION IN CIRCULAR SAWS
Jiaxin Tian, Stanley G. Hutton
2001· article· en· Journal of Sound and Vibration· Engineering
machine prediction:candidate · noneconsensus · none
37
citations
affno abstractunlabeled
Artificial intelligence enabled smart machining and machine tools
Yu Sung Chuo, Jiwoong Lee, Chang Hyeon Mun, In Woong Noh, Sina Rezvani, Dong Chan Kim +3 more
2022· article· en· Journal of Mechanical Science and Technology· Engineering
machine prediction:candidate · noneconsensus · none
37
citations
affno abstractunlabeled
Machining chatter in flank milling
Keivan Ahmadi, F. Ismail
2009· article· en· International Journal of Machine Tools and Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Mechanics and Dynamics of Multifunctional Tools
Min Wan, Zekai Murat Kılıç, Yusuf Altıntaş
2014· article· en· Journal of Manufacturing Science and Engineering· Engineering
machine prediction:candidate · noneconsensus · none
36
citations
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