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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.

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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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Manufacturing Process 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.

1,522 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.
1,522 works in the cohort · of 4,299,418page 27 of 31

Labels cover 0 of 1,522 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 1,522 of 1,522 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Tool and Techniques for Adaptable Design
Peihua Gu, Deyi Xue, Qingjin Peng, Jian Zhang
2023· book-chapter· en· Research on intelligent manufacturing· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Shape Deviation
Luc Laperrière, Günther Reinhart
2014· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
2010 OIC Manufacturing Problem
J. A. Dobrowolski, Li Li
2010· article· en· Optical Interference Coatings· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Modèles de substitution multifidélité en calcul de structures
Pierre‐Alain Boucard, David Néron, Bruno Soulier, Stéphane Nachar, Christian Rey, Felipe Bordeu
2018· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Captain Joe DePete
2019· article· en· Scholarly Commons (Embry–Riddle Aeronautical University)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Sparse Data Estimation in Complex Design Processes
Kamran A. Lari, Onur Hisarciklilar, Khadidja Grebici, V. Thomson
2010· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
AUTOMATIC TOOL TRUING FOR AN LED LENS CAVITY LAPPING SYSTEM
Fusaomi Nagata, Takanori Mizobuchi, Keigo Watanabe, Maki K. Habib, Tetsuo Hase, Zenku Haga +1 more
2011· article· en· International Journal of Robotics and Automation· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Learning to Segment CAD Models with Hybrid Representation
Claude Uwimana, Shengdi Zhou, Zhuqing LI, Norbelt Mutagisha, Edouard Niyongabo, Bin Zhou
2024· preprint· en· SSRN Electronic Journal· Engineering
distilled prediction:candidate · research_integrityconsensus · none
0
citations
afffundunlabeled
Comprehending parametric CAD models
Siniša Kolarić, Halil Erhan, Rob Woodbury, Bernhard E. Riecke
2010· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
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