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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 and Road 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.

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.

2,817 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.
2,817 works in the cohort · of 4,299,418page 42 of 57

Labels cover 3 of 2,817 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 2,817 of 2,817 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
Road Safety: A Call for Action
AH Omar, K Ashawesh
2008· article· en· Libyan Journal of Medicine· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Quantitative Assessment of Urban Air Collision Risks
Josh Chang, Teresa de Jesus Krings, Brendan Ooi, Iryna Borshchova, Jeremy Laliberté
2024· article· en· Journal of Air Transportation· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Modelling highway safety with data from chinese freeways
Xiaoduan Sun, Yugan He, Lexuan Zhong, Yuwei Chen
2013· article· en· International Journal of Safety and Security Engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The odds of accident-type casualties in a Peruvian jungle road
Angela Denisse Huaman Meza, Gian Carlos Meza Soto, Jahir Chuquillanqui Guillen, Giovene Pérez Campomanes
2023· article· en· Decision Science Letters· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Effect of Misuse of Child Restraint Systems in Accidents
Margaret M. Sweeney, Elaine B. Weinstein, V. Roberts
2001· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
BENCHMARKING TRUCK SAFETY IN AUSTRALIA
Narelle Haworth, P Vulcan, Peter Sweatman
2002· article· en· Road and transport research· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Crash Modification Factor Recommendation List
Reginald R. Souleyrette, Riana Tanzen, Eric R. Green, William Nicholas Staats, Federico Valentin Lause
2020· article· en· UKnowledge (University of Kentucky)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
afffundaboutunlabeled
Road Rage and High Performance Cars
Reginald G. Smart, Gina Stoduto, Robert E. Mann, Edward M. Adlaf
2008· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Virtual Commercial Vehicle Compliance Stations
Caroline Rodier, Susan Shaheen, Ellen Cavanagh
2006· article· en· Transportation Research Record Journal of the Transportation Research Board· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About