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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.

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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 Technology International
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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.

14 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.
14 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 14 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 14 of 14 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Protecting America's borders
Bruce Abernethy
2006· article· en· Traffic Technology International· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
DYNAMIC SAFETY SOLUTIONS
R Bushman, Brian Taylor
2000· article· en· Traffic Technology International· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
A WIN-WIM SITUATION
Brian Taylor, R Bushman
2004· article· en· Traffic Technology International· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stop watch: ITS Spain focus: part 5
Anna Rubio, H Corrazzini
2005· article· en· Traffic Technology International· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ERP: DOES ONE SIZE FIT IT ALL?
P Sayeg
2000· article· en· Traffic Technology International· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Edmonton’s Journey Towards Vision Zero
2020· article· en· Traffic Technology International· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Creating Smart Cities
2024· article· en· Traffic Technology International· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Timing is Everything
2019· article· en· Traffic Technology International· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Winter Wonders
2020· article· en· Traffic Technology International· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Weather Forecasts for All
2025· article· en· Traffic Technology International· Environmental Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About