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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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Metallurgy and Material Forming
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

578 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.
578 works in the cohort · of 4,299,418page 2 of 12

Labels cover 0 of 578 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 578 of 578 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.

afffundno abstractunlabeled
Dynamics and variance control of hot mill loopers
Sansal K. Yildiz, Biao Huang, J. Fraser Forbes
2007· article· en· Control Engineering Practice· Engineering
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Dynamic Recovery and Recrystallization
H.J. McQueen
2001· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · noneconsensus · none
26
citations
aboutno affunlabeled
Crafting strategy
Henry Mintzberg
2017· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Models of Recrystallization
F. Montheillet, John J. Jonas
2009· book-chapter· en· ASM International eBooks· Engineering
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Machine learning for screw design in single‐screw extrusion
Nickolas D. Polychronopoulos, Konstantinos Moustris, Theodoros E. Karakasidis, Janusz Sikora, Volodymyr Krasinskyi, Ioannis E. Sarris +1 more
2025· article· en· Polymer Engineering and Science· Engineering
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Numerical Simulation of the Hot Rolling Process of Steel Beams
Alejandro Pérez-Alvarado, Sixtos Antonio Arreola-Villa, Ismael Calderon‐Ramos, Rumualdo Servín-Castañeda, Luis Alberto Mendoza de la Rosa, Kinnor Chattopadhyay +1 more
2021· article· en· Materials· Engineering
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About