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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.

82 results · 1 filter active ·
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20022021
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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.
82 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 82 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 82 of 82 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 affno abstractunlabeled
Helping Build Ontario Together
Jo-Anne Poirier
2020· article· en· Insights (Essays)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Was This Canada's Last Earth Day
Krystyn Tully
2012· article· en· Insights (Essays)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Health Quality in Canada: a cup half full
Anthony Fields
2016· article· en· Insights (Essays)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
C-suite in Canada in for a Major Overhaul
Natali Tofiloski
2011· article· en· Insights (Essays)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Why Canadian researchers need to be more vocal in the media
Mélanie Meloche-Holubowsk, Damien Contandriopoulos, Marc‐André Gagnon
2015· article· en· Insights (Essays)· Arts and Humanities
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
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How this was built: Screen · Findings · About