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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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Autonomous Vehicle Technology and Safety
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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.

721 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.
721 works in the cohort · of 4,299,418page 3 of 15

Labels cover 0 of 721 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 721 of 721 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
MADRaS : Multi Agent Driving Simulator
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul +1 more
2021· article· en· Journal of Artificial Intelligence Research· Engineering
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
A review of autonomous vehicle technology landscape
Kavya P. Divakarla, Ali Emadi, Saiedeh Razavi, Saeid Habibi, Fengjun Yan
2019· review· en· International Journal of Electric and Hybrid Vehicles· Engineering
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Rethinking Closed-Loop Training for Autonomous Driving
Wenjun Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu +2 more
2022· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About