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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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Mobile Crowdsensing and Crowdsourcing
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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.

449 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.
449 works in the cohort · of 4,299,418page 2 of 9

Labels cover 3 of 449 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 449 of 449 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
CLAMShell
Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin
2015· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Worker skill estimation in team-based tasks
Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das
2015· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
DLIN: Deep Ladder Imputation Network
Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif
2021· article· en· IEEE Transactions on Cybernetics· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Creativity on paid crowdsourcing platforms
Jonas Oppenlaender, Kristy Milland, Aku Visuri, Simo Hosio
2020· preprint· en· University of Oulu Repository (University of Oulu)· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Reputation-aware task allocation for human trustees
Han Yu, Chunyan Miao, Bo An, Zhiqi Shen, Cyril Leung
2014· article· en· Adaptive Agents and Multi-Agents Systems· Computer Science
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Efficient Collaborative Crowdsourcing
Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung
2016· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
39
citations
affno abstractunlabeled
Overview of the crowdsourcing process
Lobna Nassar, Fakhri Karray
2018· article· en· Knowledge and Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
afffundno abstractunlabeled
Leveling up citizen science
Jérôme Waldispühl, Attila Szantner, Rob Knight, Sébastien Caisse, R. J. Pitchford
2020· article· en· Nature Biotechnology· Computer Science
machine prediction:candidate · open_scienceconsensus · none
35
citations
affunlabeled
Multi-Objective Crowd Worker Selection in Crowdsourced Testing
Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li
2017· article· en· Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Ingimp
Michael Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park
2008· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
30
citations
affunlabeled
How One Microtask Affects Another
Edward Newell, Derek Ruths
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations

How this was built: Screen · Findings · About