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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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Advanced Malware Detection Techniques
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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.

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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.

977 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.
977 works in the cohort · of 4,299,418page 4 of 20

Labels cover 1 of 977 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 977 of 977 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.

fundno affunlabeled
Bots and Beasts
Paul Thagard
2021· book· en· The MIT Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
venueno affunlabeled
Customized K-nearest neighbors’ algorithm for malware detection
Mosleh M. Abualhaj, Ahmad Adel Abu-Shareha, Qusai Y. Shambour, Adeeb Alsaaidah, Sumaya N. Al-Khatib, Mohammed Anbar
2023· article· en· International Journal of Data and Network Science· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
To Intercept or Not to Intercept
Louis Waked, Mohammad Mannan, Amr Youssef
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
CORGIDS
Ekta Aggarwal, Mehdi Karimibiuki, Karthik Pattabiraman, A. Ivanov
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
Detecting Antipatterns in Android Apps
G. Hecht, Romain Rouvoy, Naouel Moha, Laurence Duchien
2015· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Towards Automated Sexual Violence Report Tracking
Naeemul Hassan, Amrit Poudel, Jason G. Hale, Claire Hubacek, Khandaker Tasnim Huq, Shubhra Kanti Karmaker Santu +1 more
2020· article· en· Proceedings of the International AAAI Conference on Web and Social Media· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
An Architecture for Game Behavior AI: Behavior Multi-Queues
Maria Cutumisu, Duane Szafron
2009· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
SEAT: a usable trace analysis tool
Abdelwahab Hamou‐Lhadj, Timothy C. Lethbridge, Lianjiang Fu
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
A Modbus command and control channel
Antoine Lemay, José M. Fernandez, Scott Knight
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Android Platform Malware Analysis
Khalid Alfalqi, Rubayyi Alghamdi, Mofareh Waqdan
2015· article· en· International Journal of Advanced Computer Science and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
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