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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
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 9 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
Reputation Gaming in Crowd Technical Knowledge Sharing
Iren Mazloomzadeh, Gias Uddin, Foutse Khomh, Ashkan Sami
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Session details: Microblog
Mark D. Smucker
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
histoires extraordinaires poe pdf
2024· other· fr· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Group Fairness in Peer Review
Haris Aziz, Evi Micha, Nisarg Shah
2023· article· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
A Framework for Policy Crowdsourcing
John Prpić
2017· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Sprinting in Montreal
Alejandra Casas Niño de Rivera
2016· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sprinting in Montreal
Alejandra Casas Niño de Rivera
2016· article· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Adaptive Deep Learning from Crowds
Hang Yang, Zhiwu Li, Witold Pedrycz
2025· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Mb Canada Post Birds
2012· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Malicious Crowdsourcing
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Citizen Sensing
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Crowdcomputing
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About