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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.

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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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Psychology of Social Influence
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

359 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.
359 works in the cohort · of 4,299,418page 2 of 8

Labels cover 1 of 359 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 359 of 359 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Do Brokers of Insiders Tip Other Clients?
William J. McNally, Andriy Shkilko, Brian F. Smith
2015· article· en· Management Science· Social Sciences
distilled prediction:candidate · stsconsensus · none
28
citations
affunlabeled
Planning and Decision Making
J. P. Das
2008· article· en· The Journal of Entrepreneurship· Social Sciences
distilled prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Response Order Effects - How Do People Read?
Bobby Duffy
2003· article· en· International Journal of Market Research· Social Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
13
citations
affno abstractunlabeled
Book Review: Let's Face It
Alain Morin
2003· article· en· Evolutionary Psychology· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
13
citations
affunlabeled
Ammonia Aversion With an Exhibitionist
William L. Marshall
2006· article· en· Clinical Case Studies· Social Sciences
distilled prediction:candidate · stsconsensus · sts
12
citations
venueno affunlabeled
La mesure empirique des problèmes d’information
Georges Dionne
2009· preprint· fr· L Actualité économique· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
Collaboration during visual search
Kelly A. Malcolmson, Michael Reynolds, Daniel Smilek
2007· article· en· Psychonomic Bulletin & Review· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
10
citations
affno abstractunlabeled
Cognitive and Predictive Analytics on Big Open Data
Kevin Hoang, Carson K. Leung, Matthew R. Spelchak, Bonnie Tang, Duncan P. Taylor-Quiring, Nicholas J. Wiebe
2020· book-chapter· en· Lecture notes in computer science· Social Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
10
citations
affunlabeled
A powerful tip: Power's impact on tipping behavior
Kapil Khandeparkar, Manoj Motiani, Sushil S. Chaurasia, Joy Chowdhury
2024· article· en· International Journal of Consumer Studies· Social Sciences
distilled prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Social Influence
Mark P. Zanna, James M. Olson, C. Peter Herman
2014· book· en· Psychology Press eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+research_integrityconsensus · sts
8
citations
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How this was built: Screen · Findings · About