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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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Nanofabrication and Lithography Techniques
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.

351 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
351 works in the cohort · of 4,299,418page 6 of 8

Labels cover 0 of 351 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 351 of 351 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.

affunlabeled
Nanofabrication et integration 3D: La procédé Nanodamascene
G. Droulers, M. Labalette, Sang B.L., Y. Ayadi, A. Souifi, Michel Pioro-Ladrière +1 more
2016· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cell Surface Engineering
Srinivas Abbina, Nima Khadem Mohtaram, Jayachandran N. Kizhakkedathu
2018· book-chapter· en· Polymers and polymeric composites· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Evolving Calgaryʼs Suburban Built Form
2012· other· en· eScholarship@McGill (McGill)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Water-assisted transfer printing techniques
Hongyu Hou, Lingzhi Zhang, Zi Xin Zhang, Changhong Cao
2024· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Materials for future lithography
2005· article· en· NPARC· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Materials Design in Micro/Nano-Joining
Y. Zhou, Anming Hu
2011· article· en· JOURNAL OF THE JAPAN WELDING SOCIETY· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Most Recent Data (2010). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Enterprises holding or using copyrights, by copyright size group and revenue size group, selected industries, December 2010 | Variable: All enterprises that held or used copyrights, $100,000 to $249,999 | Units: %, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-181.
2015· other· en· Data Planet· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Natural Lithography
2016· book-chapter· en· SpringerBriefs in materials· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hippasteria phrygiana Parelius 1768
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Photo-patterning
Dongqing Li
2015· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About