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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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Accident Analysis & Prevention
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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.

592 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.
592 works in the cohort · of 4,299,418page 5 of 12

Labels cover 1 of 592 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 592 of 592 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Alcohol and driving factors in collision risk
Robert E. Mann, Gina Stoduto, Evelyn Vingilis, Mark Asbridge, Christine M. Wickens, Anca Ialomiteanu +2 more
2010· article· en· Accident Analysis & Prevention· Engineering
distilled prediction:candidate · noneconsensus · none
52
citations
afffundno abstractunlabeled
Managing speed at school and playground zones
Lina Kattan, Richard Tay, Shanti Acharjee
2011· article· en· Accident Analysis & Prevention· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
51
citations
afffundno abstractunlabeled
Modernization of the Driver Behaviour Questionnaire
Sheila Tatiana Duarte Cordazzo, Charles T. Scialfa, Rachel Jones Ross
2015· article· en· Accident Analysis & Prevention· Engineering
distilled prediction:candidate · noneconsensus · none
49
citations
afffundno abstractunlabeled
Using telematics data to find risky driver behaviour
Manda Winlaw, Stefan Steiner, Robert J. MacKay, Allaa R. Hilal
2019· article· en· Accident Analysis & Prevention· Engineering
distilled prediction:candidate · noneconsensus · none
46
citations
affno abstractunlabeled
A systematic review and meta-analysis of older driver interventions
Bernadette A. Fausto, Pedro F. Adorno Maldonado, Lesley A. Ross, Martin Lavallière, Jerri D. Edwards
2020· review· en· Accident Analysis & Prevention· Health Professions
distilled prediction:candidate · metaepi_narrow+metaepi_broad+insufficient_payloadconsensus · metaepi_broad
44
citations
afffundno abstractunlabeled
Elderly drivers: Future challenges?
Robyn Robertson, Ward Vanlaar
2008· article· en· Accident Analysis & Prevention· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
42
citations

How this was built: Screen · Findings · About