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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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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.

39 results · 1 filter active ·
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20012009
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
39 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 39 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 39 of 39 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.

aboutno affunlabeled
Black Hills Gold
Andy Cummings
2009· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Not Your Grandpa's Grain Train
Paul R Sando
2009· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canada's Century
Charles W Bohi, Leslie S Kozma
2009· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
L.A. Eyes Gold Line Expansion
David Lustig
2008· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
THE MARVEL THAT IS L.A.'S METROLINK
G Mac Sebree
2001· article· en· Trains· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canadian Commuter Rail Boom
Douglas N W Smith
2008· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Riding the Covered Wagon Trail
Steve Glischinski
2008· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
New Ports, New Routes for Stacks
Ted Smith-Peterson
2008· article· en· Trains· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ROUGH RIDE FOR VIA'S RENAISSANCE FLEET
B Johnston
2004· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CANADIAN PACIFIC IN NYC
Joe Greenstein
2002· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Burkhardt's Bangor Baby
K Kube
2007· article· en· Trains· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About