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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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The International Journal of Advanced Manufacturing Technology
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Retraction
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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.

777 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.
777 works in the cohort · of 4,299,418page 13 of 16

Labels cover 1 of 777 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 777 of 777 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
A new hybrid approach to discrete multiple facility location problem
Davood Shishebori, Iman Dayarian, Armin Jabbarzadeh, Farnaz Barzinpour
2013· article· en· The International Journal of Advanced Manufacturing Technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Thermomechanical processing of a Nb–Ti–V pipeline steel
M. Rakhshkhorshid, Hossein Monajati Zadeh, Seyed Hamid Hashemi
2015· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Diagnostics of spindle unit, model design and analysis
Ф. С. Сабиров, Dmitry Suslov, Sergey Savinov
2012· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Design for manufacturing applied to turbomachine components
Julien Chaves‐Jacob, Gérard Poulachon, Emmanuel Duc, Christian Geffroy
2011· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Inventory systems with random arrival of shipments
A.H.M.A. Rahim
2005· article· en· The International Journal of Advanced Manufacturing Technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Feasibility study of a new rapid tooling process
Xiaoping Jiang, Xingyang Liu, Chao Zhang
2005· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Development of control systems for laser powder bed fusion
Katayoon Taherkhani, Gerd Cantzler, Christopher Eischer, Ehsan Toyserkani
2023· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Numerical simulation of ball-end milling with SPH method
Seyedbehzad Ghafarizadeh, Amir Masoud Tahvilian, Jean-François Châtelain, Zhaoheng Liu, Henri Champliaud, Gilbert Lebrun
2016· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About