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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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Psychonomic Bulletin & Review
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Retraction
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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.

441 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.
441 works in the cohort · of 4,299,418page 8 of 9

Labels cover 0 of 441 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 441 of 441 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.

afffundno abstractunlabeled
Episodic retrieval and the SNARC effect
Peter Dixon
2017· article· it· Psychonomic Bulletin & Review· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Temporal context effects on suboptimal choice
Margaret A. McDevitt, Jeffrey M. Pisklak, Roger Dunn, Marcia L. Spetch
2024· article· en· Psychonomic Bulletin & Review· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
The principal components of meaning, revisited
Chris Westbury, Michelle Yang, Kris Anderson
2024· review· en· Psychonomic Bulletin & Review· Psychology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Simple actions activate semantic associations
Blaire J. Weidler, Richard A. Abrams
2018· article· en· Psychonomic Bulletin & Review· Psychology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Sequential effects in time perception
Tamsen E. Taylor, Stephen J. Lupker
2007· article· en· Psychonomic Bulletin & Review· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Two case studies of very long-term retention
Ashleigh M. Maxcey, Richard M. Shiffrin, Denis Cousineau, Richard C. Atkinson
2021· article· en· Psychonomic Bulletin & Review· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
fundno affno abstractunlabeled
Memory augmentation with an adaptive cognitive interface
Brady R. T. Roberts, Julia Pruin, Wilma Bainbridge, Monica D. Rosenberg, Megan T. deBettencourt
2024· article· en· Psychonomic Bulletin & Review· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Rare and extreme outcomes in risky choice
Alice Mason, Elliot A. Ludvig, Marcia L. Spetch, Christopher R. Madan
2023· article· en· Psychonomic Bulletin & Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Fast reasoning and metacognition
Valerie A. Thompson, Henry Markovits
2025· article· en· Psychonomic Bulletin & Review· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Context effects in cognitive effort evaluation
Sophie Desjardins, Rui Tang, Seffie Yip, Mathieu Roy, A. Ross Otto
2024· article· en· Psychonomic Bulletin & Review· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About