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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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Digital and Cyber Forensics
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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
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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.

257 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.
257 works in the cohort · of 4,299,418page 3 of 6

Labels cover 1 of 257 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 257 of 257 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affno abstractunlabeled
Digital Forensics and Cyber Crime
2024· book· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Special issue on social network security and privacy
Mirosław Kutyłowski, Yu Wang, Shouhuai Xu, Laurence T. Yang
2018· article· en· Concurrency and Computation Practice and Experience· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Offender Profiling and Crime Analysis
Jennifer L. Schulenberg, Peter J. Carrington
2004· article· en· International Criminal Justice Review· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
High Performance Proactive Digital Forensics
Soltan Alharbi, Belaid Moa, Jens H. Weber-Jahnke, Issa Traoré
2012· article· en· Journal of Physics Conference Series· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
DETEKSI SERANGAN DDoS MENGGUNAKAN Q-LEARNING
Wulan Sri Lestari
2022· article· id· JATISI (Jurnal Teknik Informatika dan Sistem Informasi)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
Digital Evidence Collection in IoT Environment
Jane Iveatu Obioha, Amaliya Princy Mohan, Habib Louafi
2023· book-chapter· en· World Scientific series in digital forensics and cybersecurity· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
CyberSecureHub: Integrating Cyber Security Tools
Suyog Waghere, Harsh Pardeshi, Shrinad Patil, Krunal Kurhe, Prof. M. D. Karad
2023· article· en· International Journal of Advanced Research in Science Communication and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Cyber investigation: A new frontier for police
Kathy MacDonald
2021· article· en· The Journal of Intelligence Conflict and Warfare· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Cyber Criminal Profiling
Mohammed S. Gadelrab, Ali A. Ghorbani
2015· book-chapter· en· Advances in digital crime, forensics, and cyber terrorism book series· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
RESPONDING TO THE BIG SPILL OF 20111
Bill Lehr, Ron Goodman
2001· article· en· International Oil Spill Conference Proceedings· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Formal Approach for the Forensic Analysis of Logs
Ali Reza Arasteh, Mourad Debbabi, Assaad Sakha
2006· article· en· New Trends in Software Methodologies, Tools and Techniques· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Evaluation of Autopsy and Volatility for Cybercrime Investigation
Ahmed Mutheeb M. Almutairi, Behzad Shoarian Satari, Carlos Rivas, Cristian Florin Stanciu, Mozhdeh Yamani, Zahra Zohoorsaadat +1 more
2019· article· en· International Journal of Digital Crime and Forensics· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Seek and destroy
Tracey Caldwell
2012· article· en· Network Security· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Volume Analysis
Xiaodong Lin
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
Deleted File Recovery in FAT
Xiaodong Lin
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Tomorrow's Shields
Ravshish Kaur Kohli, Kunal Sharma
2025· other· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/b978-0-12-802717-2.00005-8
2000· book-chapter· en· Time to knit· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About