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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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Transportation Planning 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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 37 of 41

Labels cover 0 of 2,034 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 2,034 of 2,034 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
Approaches for Modelling Travel Time Uncertainty
Shubham Parashar, Ninad Gore, Shriniwas Arkatkar, Said M. Easa
2024· book-chapter· en· Lecture notes in civil engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Contributors
2025· book-chapter· en· Edward Elgar Publishing eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Fare System of Edmonton Transit Service
功 山下, Isao YAMASHITA
2019· article· ja· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NEW ORLEANS REINTRODUCES STREETCARS
Gilles Boulard
2001· article· en· Metrologia· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Free Transportation in Canadian Municipalities
Stacie Trinh
2021· article· Politika – Undergraduate Journal of International Affairs Politics and Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Optimize Signal Priority Strategy to Improve Transit Mobility
Jatinder Tiwana, Mehmood Zaman, Arun Bhowmick, Tony Z. Qiu
2011· article· en· 18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Congestion Relief Using HOT Lanes
D R Samdahl, Shuming Yan
2007· article· en· ITE 2007 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
BRT Projects Grow, Systems Diversify
Joey Campbell
2006· article· en· Metrologia· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Intelligent transport system for developing countries
Praveen Kumar, Varun Singh, Venkat Avaari
2009· article· en· World Review of Intermodal Transportation Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NO. AMERICAN TRAFFIC GROWTH STRONG
Peter Samuel
2000· article· en· RCC's public works financing· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About