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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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Misinformation and Its Impacts
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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.

1,959 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.
1,959 works in the cohort · of 4,299,418page 30 of 40

Labels cover 16 of 1,959 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 1,959 of 1,959 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.

venueaboutno affunlabeled
Hailing Distance: On Citation and the Pandemic
Sarah Banting
2018· article· en· English studies in Canada· Social Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affno abstractunlabeled
AI Investing and Misinformation
Jaeho Kim, Andrew J. Leone
2025· preprint· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Omission of Group Information
Akshay S. Desai, Wataru Shimizu, Takeshi Aiba
2021· erratum· en· JAMA Cardiology· Social Sciences
machine prediction:candidate · research_integrityconsensus · none
0
citations
aboutno affunlabeled
Liriomyza eupatorii in Baccharis
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Municipal Cost of Living Sentiment Index
Howard Leong
2024· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Governing Misinformation
Madelyn Rose Sanfilippo, Xiaohua Zhu, Shengnan Yang
2024· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Networked Influence: An Introduction
Jenna Jacobson, Anatoliy Gruzd, Priya Kumar, Philip Mai
2023· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Networked Influence: An Introduction
Jenna Jacobson, Anatoliy Gruzd, Priya Kumar, Philip Mai
2023· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Magnetotelluric Transfer Functions
2017· other· en· NSF Seismological Facility for the Advancement of Geoscience (SAGE)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Notes on Contributors
2023· book-chapter· en· Edinburgh University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About