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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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Proceedings of the World Congress on Civil, Structural, and Environmental Engineering
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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.

578 results · 1 filter active ·
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20162025
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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 10 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.

venueno affunlabeled
Innovative Usage of Recycled Waste Materials in Roads
Arul Arulrajah
2023· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Energy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Axial and Lateral Performance of Micropiles in Till
B. Berger, Ahmed Fahmy
2024· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Uncertainty of Driven Pile Capacity using Dynamic Methods
Fauzi Jarushi, Omran Kenshel, Abdelghani A. Asalai
2025· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
https://avestia.com/CSEE2025_Proceedings/files/paper/ICEPTP/ICEPTP_181.pdf
Ye Yifan, R.S. Priyadarsini, Shrikanth Narayanan
2025· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Automating BIM (IFC) Data Analysis Using LangGraph
Miral Selim, Khaled Nassar, Ossama Hosny
2025· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
New Approaches in Urban Water Systems Engineering
Brigitte Helmreich
2018· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Microbial Fuel Cells from Artichoke Waste: Preliminary Results
Luis Cabanillas-Chirinos, Nélida Milly Otiniano, Terrones-Rodriguez Nicole
2025· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Multielemental Analysis of Pleural Effusion to Determine the Relationship Between Air Pollution and Lung Cancer
Ana Larissa Barbosa Sánchez, Ciro Eliseo Márquez Herrera, Martha Patricia Sierra Vargas, Ma. de Lourdes Guadalupe Flores Luna, Reina Torralba, Leticia Hernández‐Cadena +2 more
2024· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

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