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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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Fuzzy Systems and Optimization
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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.

170 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.
170 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 170 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 170 of 170 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
Introduction to q-Fractional Fuzzy Set
Muhammad Gulistan, Witold Pedrycz
2024· article· en· International Journal of Fuzzy Systems· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Portfolio optimization based on fuzzy entropy
Mohamadtaghi Rahimi, Pranesh Kumar
2018· article· en· International Journal on Interactive Design and Manufacturing (IJIDeM)· Mathematics
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Fuzzy EOQ model using possibilistic approach
S. S. Appadoo, C. R. Bector, S. K. Bhatt
2012· article· en· Journal of Advances in Management Research· Mathematics
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
AN APPROACH FOR SOLVING FUZZY GAMES
Wei Yi Liu, Jin Li, Kun Yue, Ning Song, Hong Yao
2006· article· en· International Journal of Uncertainty Fuzziness and Knowledge-Based Systems· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Functional fuzzy clusterwise regression analysis
Tianyu Tan, Hye Won Suk, Heungsun Hwang, Jooseop Lim
2013· article· en· Advances in Data Analysis and Classification· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
On fuzzy differential equations
Luciana Takata Gomes
2014· dissertation· en· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
A Centroid Based Correlation Coefficient of Fuzzy Numbers
Junhu Ruan, Felix T.S. Chan, Fangwei Zhu, Yan Shi, Yumeng Wang
2017· article· en· Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations

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