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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 Media Forensic Detection
Retraction
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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
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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.

175 results · 1 filter active ·
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20042025
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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.
175 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 175 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 175 of 175 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.

affno abstractunlabeled
Image splicing detection using mask-RCNN
Belal Ahmed, T. Aaron Gulliver, Saif alZahir
2020· article· en· Signal Image and Video Processing· Computer Science
machine prediction:candidate · noneconsensus · none
95
citations
afffundno abstractunlabeled
Low quality document image modeling and enhancement
Reza Farrahi Moghaddam, Mohamed Cheriet
2009· article· en· International Journal on Document Analysis and Recognition (IJDAR)· Computer Science
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
The unethical use of deepfakes
Audrey de Rancourt-Raymond, Nadia Smaïli
2022· article· en· Journal of Financial Crime· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel +1 more
2020· article· en· CaltechAUTHORS (California Institute of Technology)· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Forensic Analysis of Synthetically Generated Western Blot Images
Sara Mandelli, Davide Cozzolino, Edoardo Daniele Cannas, João Phillipe Cardenuto, Daniel Moreira, Paolo Bestagini +5 more
2022· article· en· IEEE Access· Computer Science
machine prediction:candidate · metaresearch+research_integrityconsensus · none
28
citations
afffundunlabeled
Smart Meter Data Obfuscation Using Correlated Noise
Ahmed Shaharyar Khwaja, Alagan Anpalagan, Muhammad Naeem, Bala Venkatesh
2020· article· en· IEEE Internet of Things Journal· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
ADT: Anti-Deepfake Transformer
Ping Wang, Kunlin Liu, Wenbo Zhou, Hang Zhou, Honggu Liu, Weiming Zhang +1 more
2022· article· en· ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Analysis of Deep Learning Methods for Detection of Bird Species
Subhashree Rath, Senthil Kumar, Venkata Sai Kumar Guntupalli, Suman Sourabh, Shaik Riyaz
2022· article· en· 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
venueno affunlabeled
Deep Fake Image Classification Using VGG-19 Model
Chandra Bhushana Rao Killi, Narayanan Balakrishnan, Chinta Someswara Rao
2023· article· fr· Ingénierie des systèmes d information· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Video logo removal detection based on sparse representation
Xiao Jin, Yuting Su, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song
2018· article· en· Multimedia Tools and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Robust detection of copy-move forgery using texture features
Fereshteh Gharibi, Javad RavanJamjah, Fardin Akhlaghian, Bahram Zahir Azami, Javad Alirezaie
2011· article· en· Iranian Conference on Electrical Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About