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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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Cognitive Science and Mapping
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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.

552 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.
552 works in the cohort · of 4,299,418page 1 of 12

Labels cover 0 of 552 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 552 of 552 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.

affvenueunlabeled
Dual thinking for scientists
Marten Scheffer, Jordi Bascompte, Tone K. Bjordam, Stephen R. Carpenter, Laurie B. Clarke, Carl Folke +5 more
2015· article· en· Ecology and Society· Computer Science
machine prediction:candidate · metaresearchconsensus · none
93
citations
afffundunlabeled
Cognitive Control
S. Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue
2012· article· en· Proceedings of the IEEE· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
Learning of Fuzzy Cognitive Maps Using Density Estimate
Wojciech Stach, Witold Pedrycz, Lukasz Kurgan
2012· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Semantic Memory
Ken McRae, Michael N. Jones
2013· book· en· Oxford University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
Towards Cognitive Machines
Witold Kinsner
2007· article· en· International Journal of Cognitive Informatics and Natural Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
Comparative Cognition
Mary C. Olmstead, Valerie A. Kuhlmeier
2015· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Parallel Learning of Large Fuzzy Cognitive Maps
Wojciech Stach, Lukasz Kurgan, Witold Pedrycz
2007· article· en· IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Cognitive Control
S. Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue
2012· article· en· Proceedings of the IEEE· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
afffundunlabeled
Dynamic risk assessment of complex systems using FCM
Afshin Jamshidi, Daoud Aı̈t-Kadi, Ángel Ruiz, Mohamed Larbi Rebaiaia
2017· article· en· International Journal of Production Research· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
Reflections on the past two decades of neuroscience
Danielle S. Bassett, Kathleen E. Cullen, Simon B. Eickhoff, Martha J. Farah, Yukiko Goda, Patrick Haggard +12 more
2020· review· en· Nature reviews. Neuroscience· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations

How this was built: Screen · Findings · About