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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
Retraction
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Label agreement
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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
aboutaboutness

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 5 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Exposing Query Identification for Search Transparency
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Díaz, Asia J. Biega
2022· article· en· Proceedings of the ACM Web Conference 2022· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Crowdsourcing for Mobile Networks and IoT
Xiping Hu, Zhaolong Ning, Kuan Zhang, Edith C.‐H. Ngai, Kun Bai, Fei Wang
2018· article· en· Wireless Communications and Mobile Computing· Computer Science
distilled prediction:candidate · stsconsensus · none
7
citations
affno abstractunlabeled
Lightweight Conceptual Modeling for Crowdsourcing
Roman Lukyanenko, Jeffrey Parsons
2013· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
6
citations
affno abstractunlabeled
Information Access in Smart Cities (i-ASC)
M‐Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Biçer
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
6
citations
affno abstractunlabeled
The Power of Contextual Suggestion
Adriel Dean-Hall, Charles L. A. Clarke
2015· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
State of the Practice for Lattice Boltzmann Method Software
Spencer Smith, Peter Michalski, Jacques Carette, Zahra Keshavarz‐Motamed
2023· article· en· Archives of Computational Methods in Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Authority-based Team Discovery in Social Networks
Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta
2016· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Applied Crowd Science
G. Keith Still
2021· book· en· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
6
citations

How this was built: Screen · Findings · About