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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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Railway Engineering and Dynamics
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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.

555 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.
555 works in the cohort · of 4,299,418page 2 of 12

Labels cover 1 of 555 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 555 of 555 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
Track displacement and energy loss in a railway embankment
Michael T. Hendry, D. A. B. Hughes, Lee Barbour
2010· article· en· Proceedings of the Institution of Civil Engineers - Geotechnical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
Measurement of rail deflection on soft subgrades using DIC
Lisa N. Wheeler, W. Andy Take, Neil A. Hoult
2016· article· en· Proceedings of the Institution of Civil Engineers - Geotechnical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
21
citations
venueno affunlabeled
Fuzzy Approach in Rail Track Degradation Prediction
Mostafa Karimpour, L. Hitihamillage, Najwa Elkhoury, Sara Moridpour, Reyhaneh Hesami
2018· article· en· Journal of Advanced Transportation· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Friction management on a Chinese heavy haul coal line
Xin Lu, Tony W Makowsky, Donald T. Eadie, Kevin Oldknow, Jilian Xue, Jinzhong Jia +4 more
2012· article· en· Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Wayside gauge face lubrication: How much do we really understand?
Donald T. Eadie, Kevin Oldknow, Marco Santoro, Gene F. Kwan, Marcia Yu, Xin Lu
2012· article· en· Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit· Engineering
machine prediction:candidate · noneconsensus · none
19
citations

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