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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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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.

affaffiliation
fundfunder
venuejournal
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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 21 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Automatic adjustment of cutting conditions in rough turning
Ahmad Ghasempoor, J. Jeswiet, T. Moore
2003· article· en· Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
On Real Time Prediction of Cutting Forces Using ANN
H. El Kadi, Ibrahim Deiab, Amal Khattab
2014· article· en· International Review of Mechanical Engineering (IREME)· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Water-Based Cutting Fluid
Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio
2019· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Milling Machine
Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio
2019· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Thin Floor Milling Using Moving Support
Jixiong Fei, Bin Lin, Tian Huang, Juliang Xiao
2021· preprint· en· Research Square· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
High Speed Machining of Helicopter Gearcases
John K. Schueller, Sharath A. Cugati, Ahmed Yousuf, John C. Ziegert, Edmund P. Leigh
2004· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Cutting Tool
Sami Chatti, Luc Laperrière, Günther Reinhart, Tullio Tolio
2019· book-chapter· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Optimization of CDCF Grinding of Turbine Blade
Changsheng Guo, Terry Green
2002· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
High-Efficiency Grinding
Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio
2019· book-chapter· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Machining of difficult materials
J.L. Endrino, German Fox‐Rabinovich, Ben D. Beake
2025· book-chapter· en· Elsevier eBooks· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About