MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Advanced machining processes and optimization
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 1 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
Investigation of micro-cutting operations
Ji-Yong Chae, Simon S. Park, Theodor Freiheit
2005· article· en· International Journal of Machine Tools and Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
752
citations
affno abstractunlabeled
Chatter suppression techniques in metal cutting
Jokin Muñoa, Xavier Beudaert, Zoltán Dombóvári, Yusuf Altıntaş, Erhan Budak, Christian Brecher +1 more
2016· article· en· CIRP Annals· Engineering
machine prediction:candidate · noneconsensus · none
705
citations
affno abstractunlabeled
Machine tool feed drives
Yusuf Altıntaş, Alexander Verl, Christian Brecher, L. Uriarte, Günter Pritschow
2011· article· en· CIRP Annals· Engineering
machine prediction:candidate · noneconsensus · none
635
citations
affno abstractunlabeled
Virtual Machine Tool
Yusuf Altıntaş, Christian Brecher, Manfred Weck, S. Witt
2005· article· en· CIRP Annals· Engineering
machine prediction:candidate · noneconsensus · none
466
citations
affno abstractunlabeled
Mechanics and dynamics of general milling cutters.
Şerafettin Engin, Yusuf Altıntaş
2001· article· en· International Journal of Machine Tools and Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
400
citations
affno abstractunlabeled
Virtual process systems for part machining operations
Yusuf Altıntaş, P. Kersting, Dirk Biermann, Erhan Budak, Berend Denkena, İsmail Lazoğlu
2014· article· en· CIRP Annals· Engineering
machine prediction:candidate · noneconsensus · none
350
citations
afffundno abstractunlabeled
Tool wear monitoring of micro-milling operations
Mohammad Malekian, Simon S. Park, Martin Byung‐Guk Jun
2009· article· en· Journal of Materials Processing Technology· Engineering
machine prediction:candidate · noneconsensus · none
224
citations
affno abstractunlabeled
Chatter stability in robotic milling
Marcel Cordes, Wolfgang Hintze, Yusuf Altıntaş
2018· article· en· Robotics and Computer-Integrated Manufacturing· Engineering
machine prediction:candidate · noneconsensus · none
212
citations
affno abstractunlabeled
Dynamic characterization of machining robot and stability analysis
Seifeddine Mejri, Vincent Gagnol, Thien-Phu Le, Laurent Sabourin, Pascal Ray, Patrick Paultre
2015· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
171
citations
afffundunlabeled
Chatter Stability of Machining Operations
Yusuf Altıntaş, Gábor Stépàn, Erhan Budak, Tony L. Schmitz, Zekai Murat Kılıç
2020· article· en· Journal of Manufacturing Science and Engineering· Engineering
machine prediction:candidate · noneconsensus · none
169
citations
afffundno abstractunlabeled
Finite element modeling approaches in grinding
Darrel A. Doman, Andrew Warkentin, Robert Bauer
2008· article· en· International Journal of Machine Tools and Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
166
citations
affno abstractunlabeled
A survey of recent grinding wheel topography models
Darrel A. Doman, Andrew Warkentin, Robert Bauer
2005· article· en· International Journal of Machine Tools and Manufacture· Engineering
machine prediction:candidate · noneconsensus · none
138
citations
affunlabeled
Wear of Electroplated CBN Grinding Wheels
Z. Shi, S. Malkin
2005· article· en· Journal of Manufacturing Science and Engineering· Engineering
machine prediction:candidate · noneconsensus · none
132
citations
affunlabeled
PHYSICS-BASED SIMULATION OF HIGH SPEED MACHINING
Tahany El-Wardany, Mihaela Dumitrescu, M.A. Elbestawi
2002· article· en· Machining Science and Technology· Engineering
machine prediction:candidate · noneconsensus · none
119
citations
next →

How this was built: Screen · Findings · About