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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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Inquiry Queen s Undergraduate Research Conference Proceedings
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Retraction
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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
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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.

1,307 results · 1 filter active ·
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20162025
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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.
1,307 works in the cohort · of 4,299,418page 10 of 27

Labels cover 0 of 1,307 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 1,307 of 1,307 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.

venueno affunlabeled
Traditional Medicine vs. the Chinese Government
Rozena Crossman
2016· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Antinous: The Pederastic to the Divine
Desmond Wong
2016· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Detoxifying Mars with Synthetic Biology
Cameron DeBellefeuille
2025· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
22. Residential Schools and Normative Racism
Nicole Moore, Rachel Hay
2016· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Countering Violent Extremism in Canada and Abroad
Nora Abdelrahman Ibrahim
2018· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
En attendant Godot: L'attente continue
Jacqueline Rebchuk, Tina Milicevic, Juliana Santos Varela
2018· article· fr· Inquiry Queen s Undergraduate Research Conference Proceedings· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Cost of the First World War to the United States
Kristen Tannas
2018· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Poster Abstracts
Queen's Learning Commons Stauffer Library
2018· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Plants, Polinators and Pests
Mike Delorme
2017· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Virtual Reality in 3D Slicer
Saleh Choueib
2019· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
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