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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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Computational Intelligence
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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.

118 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.
118 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 118 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 118 of 118 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.

afffundunlabeled
Precision‐Weighted Federated Learning
Jonatan Reyes, Lisa Di-Jorio, Cécile Low‐Kam, Marta Kersten‐Oertel
2025· article· en· Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Generate and Repair Machine Translation
Kanlaya Naruedomkul, Nick Cercone
2002· article· en· Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Finding Diachronic Like‐Minded Users
Hossein Fani, Ebrahim Bagheri, Fattane Zarrinkalam, Xin Zhao, Weichang Du
2017· article· en· Computational Intelligence· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Iterated Belief Change
Aditya Ghose, Pablo Oscar. Hadjinian, Abdul Sattar, Jia‐H. You, Randy Goebel
2004· article· en· Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Using Patterns to Explain Inferences in
Xi Deng, Volker Haarslev, Nematollaah Shiri
2007· article· en· Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
On Darwinian Networks
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos
2017· article· en· Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About