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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.

317 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.
317 works in the cohort · of 4,299,418page 3 of 7

Labels cover 0 of 317 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 317 of 317 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
Initial examination of priming tasks to decrease delay discounting
Christine E. Sheffer, James MacKillop, Arislenia Fernandez, Darren R. Christensen, Warren K. Bickel, Matthew W. Johnson +5 more
2016· article· en· Behavioural Processes· Decision Sciences
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Parasitic manipulation: further considerations
Simone Helluy, John C. Holmes
2005· review· en· Behavioural Processes· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Genomic basis of delayed reward discounting
Joshua C. Gray, Sandra Sanchez‐Roige, Harriet de Wit, James MacKillop, Abraham A. Palmer
2019· review· en· Behavioural Processes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
The influence of outcome delay on suboptimal choice
Margaret A. McDevitt, Jeffrey M. Pisklak, Marcia L. Spetch, Roger Dunn
2018· article· en· Behavioural Processes· Psychology
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About