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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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Transport Systems and Technology
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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
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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.

189 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
189 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 189 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 189 of 189 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
Precision weighing challenge
Juris Meija
2008· article· en· Analytical and Bioanalytical Chemistry· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Ambient Vibration Testing of a 4-Storey Parking Garage
Ilaria Capraro, Yuxin Pan, Kieran Rollins, Wu Gao, Carlos E. Ventura
2015· book-chapter· en· Conference proceedings of the Society for Experimental Mechanics· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Using Weigh-in-Motion measurements
Martin Slavík
2011· article· en· Civil Engineering = Siviele Ingenieurswese· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
FCC2001.129.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2002.332.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.248.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.347.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.349.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.332.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.355.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.141.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.155.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.154.ran
Robyn Fiori
2020· dataset· ru· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.321.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.129.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2002.249.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.292.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.153.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.126.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.126.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.309.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.130.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Design of a coin roll check weighing system
Kevin Harder, Christopher Jack, Shadi Radwan, Gelleen Sicat
2012· article· en· Mspace (University of Manitoba)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Bedload Rate Time Series
Maria Elgueta Astaburuaga
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
FCC2001.325.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2002.332.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.191.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.131.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.127.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.125.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.129.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2001.175.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2003.332.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Solution to precision weighing challenge
Juris Meija
2009· article· en· Analytical and Bioanalytical Chemistry· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
DYNAMIC SAFETY SOLUTIONS
R Bushman, Brian Taylor
2000· article· en· Traffic Technology International· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/tEWSOd0B5C
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About