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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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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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 376 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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
A Model of the Babbage Firm
Joshua Gans
2025· preprint· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Food and Globalization
Lynne Phillips
2008· article· en· SSRN Electronic Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Sharing price information with competitors
John Land
2025· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
Hierarchy of Patient-Reported Outcome Measures in Randomized Controlled Trials for Chronic Non-Specific Low Back Pain: A Meta-Epidemiological Study – Study Protocol
Kasper Bülow, Tobias Petra Haugegaard Hørlück, Anders Falk Brekke, Jan Hartvigsen, Jill A. Hayden, Alice Kongsted +1 more
2024· preprint· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · metaresearch+metaepi_broadconsensus · none
0
citations
affno abstractunlabeled
Pricing Multiple Triggers Contingent Claims
Ernest Tafolong, Bruno Feunou
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Markets Can Cure Spam Zombies
Marshall Van Alstyne, Sarah Zatko
2009· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Good Faith and Wrongful Dismissal
Stephen Waddams
2002· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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