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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.

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 217 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 Hip Approach to Thermostat Interface Evaluation
Philip Agee, William O apos Brien, Karol Bandurski, Connor Brackley, Julia K. Day, Astrid Roetzel +6 more
2025· preprint· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Corporate Tax Cuts for Small Firms: What Do Firms Do?
Wei Cui, Mengying Wei, Weisi Xie, Jing Xing
2021· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Efficiency of Correlation in a Bottleneck Game
Thomas J Rivera, Marco Scarsini, Tristan Tomala
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Fair Market Value Could Have Contributed to the Crash
Radhika Lunawat, Kira Pronin, Jack Douglas Stecher, Gaoqing Zhang
2013· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Intraday Stock Predictability Everywhere
Fred Liu, Lars Stentoft
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The Fine Structure of Volatility Dynamics
Carsten Chong, Viktor Todorov
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Unreasonable Interpretations of Law
Paul Daly
2014· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Endogenous Kink Threshold Regression
Jianhan Zhang, Chaoyi Chen, Yiguo Sun, Thanasis Stengos
2024· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About