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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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Misinformation and Its Impacts
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
fundfunder
venuejournal
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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 9 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
The Social Informatics of Ignorance
Devon Greyson
2019· article· en· Journal of the Association for Information Science and Technology· Social Sciences
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
The sociodemographic correlates of conspiracism
Adam Enders, Casey Klofstad, Amanda B. Diekman, Hugo Drochon, Joel Rogers de Waal, Shane Littrell +4 more
2024· article· en· Scientific Reports· Social Sciences
distilled prediction:candidate · noneconsensus · none
19
citations
affgemma · metaresearch+research_integritygpt · metaresearch+research_integritymodels agree
The Dynamics of Retraction in Epistemic Networks
Travis LaCroix, Anders Geil, Cailin O’Connor
2020· article· en· Philosophy of Science· Social Sciences
distilled prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Detecting High-Engaging Breaking News Rumors in Social Media
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang
2020· article· en· ACM Transactions on Management Information Systems· Social Sciences
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
User Behaviors in Newsworthy Rumors: A Case Study of Twitter
Quanzhi Li, Xiaomo Liu, Rui Fang, Armineh Nourbakhsh, Sameena Shah
2021· article· en· Proceedings of the International AAAI Conference on Web and Social Media· Social Sciences
distilled prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
The Negative Role of Social Media During the COVID-19 Outbreak
Harith Yas, Ahmad Jusoh, Dalia Štreimikienė, Abbas Mardani, Khalil Md Nor, Abeer Alatawi +1 more
2021· article· en· International Journal of Sustainable Development and Planning· Social Sciences
distilled prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Combating fake news
Laks V. S. Lakshmanan, Michael Simpson, Saravanan Thirumuruganathan
2019· article· en· Proceedings of the VLDB Endowment· Social Sciences
distilled prediction:candidate · noneconsensus · none
17
citations
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