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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 Education Research
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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
fundfunder
venuejournal
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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.

232 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.
232 works in the cohort · of 4,299,418page 2 of 5

Labels cover 0 of 232 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 232 of 232 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Building Blocks and Learning
Charles Nelson
2004· article· en· Complicity An International Journal of Complexity and Education· Neuroscience
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
On the automaticity of visual statistical learning
Kevin Himberger, Amy S. Finn, Christopher J. Honey
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
7
citations
affno abstractunlabeled
The cognitive basis of knowledge engineering
J. Brian Woodward, Marta Shaw, Brian R. Gaines
2006· book-chapter· en· Lecture notes in computer science· Neuroscience
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
You are about to see pictorial representations!
Frédéric Gosselin, Philippe G. Schyns
2002· article· en· Behavioral and Brain Sciences· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Mental imagery in memory psychophysics
William M. Petrusic, Joseph V. Baranski
2002· article· en· Behavioral and Brain Sciences· Neuroscience
distilled prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
Learning with METIS: Pole Figures and Euler Space
Markus Büscher, Günter Gottstein
2002· article· en· Materials science forum· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
The Semiotics of Usage-Centred Design
Jennifer Ferreira, James Noble, Robert Biddle
2007· book-chapter· en· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations

How this was built: Screen · Findings · About