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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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Applied Soft Computing
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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.

211 results · 1 filter active ·
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20052025
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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.
211 works in the cohort · of 4,299,418page 3 of 5

Labels cover 0 of 211 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 211 of 211 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
A reinforcement agent for threshold fusion
Maryam Shokri, Hamid R. Tizhoosh
2007· article· en· Applied Soft Computing· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
On the rectangular fuzzy complex linear systems
M. Ghanbari, Tofigh Allahviranloo, Witold Pedrycz
2020· article· en· Applied Soft Computing· Mathematics
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
A stable technical feature with GRU-CNN-GA fusion
Zong Ke, Jiaqing Shen, Xuanyi Zhao, Xinghao Fu, Zichao Li, Lingjie Liu +1 more
2025· article· en· Applied Soft Computing· Decision Sciences
machine prediction:candidate · noneconsensus · none
15
citations
afffundno abstractunlabeled
A survey on deep learning applications in wheat phenotyping
Amirhossein Zaji, Zheng Liu, Gaozhi Xiao, Jatinder S. Sangha, Yuefeng Ruan
2022· article· en· Applied Soft Computing· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About