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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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Image and Video Quality Assessment
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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.

589 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.
589 works in the cohort · of 4,299,418page 9 of 12

Labels cover 0 of 589 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 589 of 589 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Prediction-based dynamic bandwidth allocation in WiFi
Huifang Feng, Yantai Shu, Oliver Yang, Hua Wang
2004· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Crowdsourcing Framework for QoE-Aware SD-WAN
Ibtihal Ellawindy, Shahram Shah Heydari
2021· article· en· Future Internet· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Quality Metrics for Atmospherically Distorted Images
Donald R. McGaughey, Guy Potvin
2021· article· en· OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
2
citations
fundno affno abstractunlabeled
Effect of hedonic contrasts on movie appreciation.
Joanie Drouin, Charles H. Racine, Catherine Savard, Simon Grondin
2022· article· en· Psychology of Aesthetics Creativity and the Arts· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
HDA Video Transmission Scheme for DASH
Tao Wen, Anhong Wang, Jie Liang, Lijun Zhao
2020· article· en· IEEE Access· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Improving Adaptive Video Streaming through Session Classification
Zahaib Akhtar, Anh Le, Yun Seong Nam, Jessica Chen, Ramesh Govindan, Ethan Katz-Bassett +2 more
2019· article· en· Journal of Data and Information Quality· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
1
citations
affvenueunlabeled
Deep Quality: A Deep No-reference Quality Assessment System
Prajna Paramita Dash, Akshaya Mishra, Alexander Wong
2016· preprint· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
fundno affunlabeled
Quality of multimedia experience
Gökçe Dane, Lina J. Karam, Khaled El-Maleh, Vittorio Baroncini, Touradj Ebrahimi
2012· article· en· EURASIP Journal on Image and Video Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Age-specific perceptual image quality assessment
Yinan Wang, Andrei Chubarau, Hyunjin Yoo, Tara Akhavan, James H. Clark
2023· article· en· Electronic Imaging· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
afffundunlabeled
Quantifying Visual Image Quality: A Bayesian View
Zhengfang Duanmu, Wentao Liu, Zhongling Wang
2021· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Content adaptive pre-filtering for video compression
Mehdi Saeedi, Boris Ivanovic, Tomasz Stolarczyk, Ihab Amer, Gabor Sines
2020· article· en· Signal Image and Video Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Rate adaptation transcoding for precoded video streams
Zhijun Lei, Nicolas D. Georganas
2002· article· en· Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations

How this was built: Screen · Findings · About