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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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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.

125 results · 1 filter active ·
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20032025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
125 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 125 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 125 of 125 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
The role of context in animal memory
William A. Roberts
2019· review· en· Learning & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Learning of contingent relationships
Lorraine G. Allan
2005· article· en· Learning & Behavior· Psychology
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Cognition and reproductive success in cowbirds
David J. White, Joeanna C. Arthur, Hayden B. Davies, Mélanie F. Guigueno
2021· article· en· Learning & Behavior· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Determinants of range effects in face recognition
Eric Verbeek, Marcia L. Spetch, Ken Cheng, Colin W. G. Clifford
2006· article· en· Learning & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Place versus response learning in rats
Mark R. Cole, Amy Clipperton, Caryn Walt
2007· article· en· Learning & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Same as it ever was: Bird nest (a)symmetry?
Andrés Camacho‐Alpízar, Lauren M. Guillette
2022· article· en· Learning & Behavior· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Bumblebees at work in an emotion-like state
Catherine Plowright
2017· article· en· Learning & Behavior· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Hearing is believing: Birds learn fear
Christopher B. Sturdy, Darren S. Proppe
2015· article· en· Learning & Behavior· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
Taking shortcuts in the study of cognitive maps
Noam Miller
2021· article· en· Learning & Behavior· Agricultural and Biological Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
fundno affno abstractunlabeled
Plasticity in the hippocampal formation of shorebirds during the wintering period: Stereological analysis of parvalbumin neurons in Actitis macularius
Luma Cristina Ferreira Guerreiro, Ediely Pereira Henrique, João Batista da Silva Rosa, Patrick Douglas Côrrea Pereira, Cintya Castro de Abreu, Taiany Nogueira Fernandes +6 more
2021· article· en· Learning & Behavior· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Rat spatial memory and foraging on dual radial mazes
William A. Roberts, Krista Macpherson, Sophia G. Robinson, Abagail Hennessy, Bram Richmond
2023· article· en· Learning & Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Addition and subtraction by honeybees
William A. Roberts
2019· letter· en· Learning & Behavior· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
What evidence can validate a dog training method?
Amalia P. M. Bastos, Elizabeth Warren, Christopher Krupenye
2024· article· en· Learning & Behavior· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
2
citations

How this was built: Screen · Findings · About