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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 Brain & Behavior
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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.

15 results · 1 filter active ·
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20182025
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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.
15 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 15 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 15 of 15 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
An Instance Theory of Semantic Memory
Randall K. Jamieson, Johnathan E. Avery, Brendan T. Johns, Michael N. Jones
2018· article· en· Computational Brain & Behavior· Computer Science
machine prediction:candidate · noneconsensus · none
65
citations
afffundunlabeled
Reclaiming AI as a Theoretical Tool for Cognitive Science
Iris van Rooij, Olivia Guest, Federico Adolfi, Ronald de Haan, Antonina Kolokolova, Patricia Rich
2024· article· en· Computational Brain & Behavior· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
afffundno abstractunlabeled
The Problem-Ladenness of Theory
Daniel Levenstein, Aniello De Santo, Saskia Heijnen, Manjari Narayan, Freek J. W. Oude Maatman, Jonathan Rawski +1 more
2024· article· en· Computational Brain & Behavior· Neuroscience
machine prediction:candidate · stsconsensus · none
3
citations
affno abstractunlabeled
Correction to: An Instance Theory of Semantic Memory
Randall K. Jamieson, Johnathan E. Avery, Brendan T. Johns, Michael N. Jones
2019· article· en· Computational Brain & Behavior· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Modeling Time Cell Neuron-Level Dynamics
Mustafa Zeki, Fuat Balcı
2023· article· en· Computational Brain & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
EEG Activity Predictive of Learning Through Feedback
Matthew Danyluik, Sucheta Chakravarty, Jeremy B. Caplan
2025· article· en· Computational Brain & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dynamic Modeling of Visual Search
Zainab Rajab Mohamed, Denis Cousineau, Samuel Harding, Richard M. Shiffrin
2023· article· en· Computational Brain & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations

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