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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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Spam and Phishing Detection
Retraction
Abstract
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Study design
Label agreement
Label status

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.

516 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.
516 works in the cohort · of 4,299,418page 4 of 11

Labels cover 1 of 516 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 516 of 516 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Itrustpage
Troy Ronda, Stefan Saroiu, Alec Wolman
2008· article· en· ACM SIGOPS Operating Systems Review· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Semi-supervised spam filtering
Mona Mojdeh, Gordon V. Cormack
2008· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Predictive Analysis on Tracking Emails for Targeted Marketing
Xiao Luo, Revanth Nadanasabapathy, A. Nur Zincir‐Heywood, Keith Gallant, Janith Peduruge
2015· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
11
citations
affunlabeled
COVID-19 malicious domain names classification
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2022· article· en· Expert Systems with Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Discovery and regeneration of hidden emails
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou, Ed Zwart
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Security Games on Social Networks.
Thanh H. Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv Maheswaran, Milind Tambe
2012· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Spam Filtering and Email-Mediated Applications
Wenbin Li, Ning Zhong, Yiyu Yao, Jiming Liu, Chunnian Liu
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations
affunlabeled
Naïve Bayes Text Classifier
Haiyi Zhang, Di Li
2007· article· en· 2007 IEEE International Conference on Granular Computing (GRC 2007)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
9
citations
affunlabeled
A Novel Real-time Anti-spam Framework
Di Wu, Xiangyu Ma
2021· article· en· ACM Transactions on Internet Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Prevent/Control Identity Theft
Mahmud Akhter Shareef, Vinod Kumar
2012· article· en· Information Resources Management Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
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