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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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Traffic Prediction and Management Techniques
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,211 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.
1,211 works in the cohort · of 4,299,418page 16 of 25

Labels cover 3 of 1,211 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 1,211 of 1,211 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.

aboutno affunlabeled
Reducing Congestion at Banff National Park's East Gate
P. Eng, Jonathan Upchurch, H. Allen Swanson P.Eng.
2009· article· en· Transportation Research Board 88th Annual MeetingTransportation Research Board· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Vehicle Traffic Estimation Using Deep Learning
Meetkumar Patel, Daniel Silver
2022· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
A Diffusion-Model of Joint Interactive Navigation
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang +5 more
2023· preprint· en· arXiv (Cornell University)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Looking Out for You: City of Toronto's Deployment Plan for Arterial Traffic Cameras
Rajnath Bissessar, Lian-Wang Lee, Paul Craig
2014· article· fr· Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Alberta’s SuperNet: Video Delivery and WAN Bandwidth
Karen Fiege, Ralph Schienbein
2003· article· en· EdMedia: World Conference on Educational Media and Technology· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Application of NETSIM in modeling B‐signals
Hoong Chor Chin, Ruey Long Cheu, P. Chandrasekar
2002· article· en· Journal of Advanced Transportation· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

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