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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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Borealis
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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.

7,507 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
7,507 works in the cohort · of 4,299,418page 105 of 151

Labels cover 35 of 7,507 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 7,507 of 7,507 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
Chester Angermeier
2025· dataset· en· Borealis
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Rushing Roulette
2025· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
TTalk: Ron's Numbers v2
2025· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Harbour Porpoise 3D Model 1
2024· dataset· en· Borealis· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
QuRE and Process Mining
2019· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Brexit Opinion Survey
2021· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sea Otter 3D Model
2024· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Evaluation of PrEP Module
2025· dataset· Borealis· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Team Leader Team Bully
2025· dataset· en· Borealis
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About