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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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Multi-Criteria Decision Making
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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.

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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.

1,053 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.
1,053 works in the cohort · of 4,299,418page 4 of 22

Labels cover 3 of 1,053 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 1,053 of 1,053 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
Priority ranking for the best-worst method
Jiancheng Tu, Zhibin Wu, Witold Pedrycz
2023· article· en· Information Sciences· Decision Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
DECISION THEORY WITH IMPRECISE PROBABILITIES
Rafik Aziz Aliev, Witold Pedrycz, O. H. Huseynov
2012· article· en· International Journal of Information Technology & Decision Making· Decision Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Multi-source fuzzy comprehensive evaluation
Xueyan Xu, Fusheng Yu, Witold Pedrycz, Xubo Du
2023· article· en· Applied Soft Computing· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Generalized Choquet Integral for Face Recognition
Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz
2017· article· en· International Journal of Fuzzy Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
39
citations
afffundunlabeled
Fuzzy compromise programming for group decision making
Predrag Prodanovic, Slobodan P. Simonović
2003· article· en· IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans· Decision Sciences
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Elicitation of Factored Utilities
Darius Braziunas, Craig Boutilier
2008· article· en· AI Magazine· Decision Sciences
machine prediction:candidate · noneconsensus · none
38
citations

How this was built: Screen · Findings · About