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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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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.

3,084 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.
3,084 works in the cohort · of 4,299,418page 61 of 62

Labels cover 10 of 3,084 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 3,084 of 3,084 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
Harnessing the Redundant Results of Translation Spotting
Stéphane Huet, Julien Bourdaillet, Philippe Langlais, Guy Lapalme
2009· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Interpreting Yoruba bare nouns as generic
Ọ Ajíbóyè
2005· article· en· Proceedings of the Annual Meeting of the Berkeley Linguistics Society· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
When LMF and TMF meet
Federica Vezzani, Giorgio Maria Di Nunzio, Ana Salgado, Rute Costa
2025· article· en· Terminology International Journal of Theoretical and Applied Issues in Specialized Communication· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Samtaler i korpusformat
Philip Diderichsen, Torben Juel Jensen
2023· article· da· Nordlyd· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
One Homonym per Translation
Bradley Hauer, Grzegorz Kondrak
2020· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
El proyecto METIS-II
Toni Badía, Gemma Boleda, Maite Melero, Antoni Oliver
2005· article· es· Redalyc (Universidad Autónoma del Estado de México)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Aboriginal Canada Portal: Download Inuktitut Fonts
Indian, Northern Affairs Canada, Communications Branch
2007· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Pronominal anaphora understanding
Anna Maria Di Sciullo, Stanca Somesfalean, Calin Batori, Philippe Gabrini
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
3.5.3 Place of articulation
John T. Jensen
2004· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About