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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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Institutional Repositories DataBase (IRDB)
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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
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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.

1,957 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.
1,957 works in the cohort · of 4,299,418page 33 of 40

Labels cover 1 of 1,957 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 1,957 of 1,957 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
Fare System of Edmonton Transit Service
功 山下, Isao YAMASHITA
2019· article· ja· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fare System of Transit Service in Canadian Cities
功 山下, Isao YAMASHITA
2021· article· ja· Institutional Repositories DataBase (IRDB)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canada: In Need of a Settler Truth Slap
HUGHES Robert
2019· article· en· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
New Interfaces for Musical Expression
洋一 長嶋, ヨウイチ ナガシマ, Yoichi Nagashima
2004· article· ja· Institutional Repositories DataBase (IRDB)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Japanese Studies in Australia, Canada and Egypt
Royall Tyler, Timothy D. Kern, Sadami SUZUKI
2001· article· en· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Deterministic particle assembly on nanophotonic chips
Razie Khalesi Moghaddam, Nikhil Bhalla, Amy Q.Shen, Giovanniantonio Natale
2021· article· en· Institutional Repositories DataBase (IRDB)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
An Outline of the History of Waka in the Edo Period
ケンイチ カンサク, Ken'ichi KANSAKU
2014· article· ja· Institutional Repositories DataBase (IRDB)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Studying Japanese electroacoustic musc : a view from Paris
マルク バティエ, みか子 水野, Marc Battier, Mikako Mizuno
2017· article· en· Institutional Repositories DataBase (IRDB)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Report on Pharmacy Study Program Conducted in Canada
正男 大光, Denise A. Epp, 曲淵直喜, 栄二 湯川
2014· article· ja· Institutional Repositories DataBase (IRDB)· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About