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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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Metal Forming Simulation Techniques
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Abstract
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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.

662 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
662 works in the cohort · of 4,299,418page 2 of 14

Labels cover 1 of 662 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 662 of 662 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
Influence of ultrasonic vibrations on tube spinning process
M.A. Rasoli, A. Abdullah, M. Farzin, Alireza Fadaei Tehrani, Aboozar Taherizadeh
2012· article· en· Journal of Materials Processing Technology· Engineering
machine prediction:candidate · noneconsensus · none
58
citations
afffundno abstractunlabeled
Single point and asymmetric incremental forming
J. Jeswiet, David W. Adams, Matthew Doolan, Tegan McAnulty, Pranav Gupta
2015· article· en· Advances in Manufacturing· Engineering
machine prediction:candidate · noneconsensus · none
56
citations
affunlabeled
2D and 3D Visualization of Ductile Fracture
Arnaud Weck, David S. Wilkinson, Hiroyuki Toda, Éric Maire
2006· article· en· Advanced Engineering Materials· Engineering
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Impact properties of Al-Si foundry alloys
F. Paray, B. Kulunk, J. E. Gruzleski
2000· article· en· International Journal of Cast Metals Research· Engineering
machine prediction:candidate · noneconsensus · none
45
citations
afffundno abstractunlabeled
Damage-based finite-element modeling of tube hydroforming
Cliff Butcher, Zengtao Chen, Alexander Bardelcik, Michael J. Worswick
2009· article· en· International Journal of Fracture· Engineering
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Incremental Single Point Forming
J. Jeswiet, A. Yusuf Ali
2000· article· en· Manufacturing engineering· Engineering
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
Micromechanics Modelling of Ductile Fracture
Zengtao Chen, Cliff Butcher
2013· book· en· Solid mechanics and its applications· Engineering
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Study of the Residual Strain in Lap Joints
Gang Li, Guoqing Shi, Nicholas C. Bellinger
2006· article· en· Journal of Aircraft· Engineering
machine prediction:candidate · noneconsensus · none
35
citations

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